From e50fa97685d055ffe80e43b7be390a6ea24cb08a Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 13 Jun 2023 15:30:57 -0700 Subject: [PATCH 01/15] Peng's pr --- .../protobuf/spark/connect/relations.proto | 7 + .../connect/planner/SparkConnectPlanner.scala | 8 + .../connect/service/SparkConnectService.scala | 3 + python/pyspark/sql/connect/plan.py | 18 ++ .../sql/connect/proto/relations_pb2.py | 270 +++++++++--------- .../sql/connect/proto/relations_pb2.pyi | 39 +++ python/pyspark/sql/connect/session.py | 6 + 7 files changed, 223 insertions(+), 128 deletions(-) diff --git a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto index 6347bd7bc566..69f8bd3309a9 100644 --- a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto +++ b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto @@ -70,6 +70,7 @@ message Relation { ApplyInPandasWithState apply_in_pandas_with_state = 34; HtmlString html_string = 35; CachedLocalRelation cached_local_relation = 36; + CachedRemoteRelation cached_remote_relation = 37; // NA functions NAFill fill_na = 90; @@ -395,6 +396,12 @@ message CachedLocalRelation { string hash = 3; } +// Represents a remote relation that has been cached on server. +message CachedRemoteRelation { + // (Required) ID of the remote related (assigned by the service). + string relation_id = 3; +} + // Relation of type [[Sample]] that samples a fraction of the dataset. message Sample { // (Required) Input relation for a Sample. diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala index 4d55639f876b..b3326165a888 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala @@ -145,6 +145,8 @@ class SparkConnectPlanner(val session: SparkSession) extends Logging { transformCoGroupMap(rel.getCoGroupMap) case proto.Relation.RelTypeCase.APPLY_IN_PANDAS_WITH_STATE => transformApplyInPandasWithState(rel.getApplyInPandasWithState) + case proto.Relation.RelTypeCase.CACHED_REMOTE_RELATION => + transformCachedRemoteRelation(rel.getCachedRemoteRelation) case proto.Relation.RelTypeCase.COLLECT_METRICS => transformCollectMetrics(rel.getCollectMetrics) case proto.Relation.RelTypeCase.PARSE => transformParse(rel.getParse) @@ -788,6 +790,12 @@ class SparkConnectPlanner(val session: SparkSession) extends Logging { .logicalPlan } + private def transformCachedRemoteRelation(rel: proto.CachedRemoteRelation): LogicalPlan = { + SparkConnectService.cachedDataFrameManager + .get(rel.getUserId, rel.getSessionId, rel.getRelationId) + .logicalPlan + } + private def transformWithColumnsRenamed(rel: proto.WithColumnsRenamed): LogicalPlan = { Dataset .ofRows(session, transformRelation(rel.getInput)) diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala index c1647fd85a05..67dd205f7446 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala @@ -298,12 +298,15 @@ object SparkConnectService { userSessionMapping.getIfPresent((userId, sessionId)) }) + private[connect] val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() + private class RemoveSessionListener extends RemovalListener[SessionCacheKey, SessionHolder] { override def onRemoval( notification: RemovalNotification[SessionCacheKey, SessionHolder]): Unit = { val SessionHolder(userId, sessionId, session) = notification.getValue val blockManager = session.sparkContext.env.blockManager blockManager.removeCache(userId, sessionId) + cachedDataFrameManager.remove(userId, sessionId) } } diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py index 406f65080d14..9269987336c7 100644 --- a/python/pyspark/sql/connect/plan.py +++ b/python/pyspark/sql/connect/plan.py @@ -551,6 +551,24 @@ def plan(self, session: "SparkConnectClient") -> proto.Relation: return plan +class CachedRemoteRelation(LogicalPlan): + """Logical plan object for a DataFrame reference which represents a DataFrame that's been + cached on the server with a given id.""" + + def __init__(self, relationId: str): + super().__init__(None) + self._relationId = relationId + + def plan(self, session: "SparkConnectClient") -> proto.Relation: + plan = self._create_proto_relation() + plan.cached_remote_relation.relationId = self._relationId + if session._user_id: + plan.cached_remote_relation.userId = session._user_id + plan.cached_remote_relation.sessionId = session._session_id + + return plan + + class Hint(LogicalPlan): """Logical plan object for a Hint operation.""" diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py index 7b1c55408be5..eea819267cc3 100644 --- a/python/pyspark/sql/connect/proto/relations_pb2.py +++ b/python/pyspark/sql/connect/proto/relations_pb2.py @@ -36,7 +36,7 @@ DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile( - b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xf3\x16\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n \x01(\x0b\x32\x12.spark.connect.SQLH\x00R\x03sql\x12\x45\n\x0elocal_relation\x18\x0b \x01(\x0b\x32\x1c.spark.connect.LocalRelationH\x00R\rlocalRelation\x12/\n\x06sample\x18\x0c \x01(\x0b\x32\x15.spark.connect.SampleH\x00R\x06sample\x12/\n\x06offset\x18\r \x01(\x0b\x32\x15.spark.connect.OffsetH\x00R\x06offset\x12>\n\x0b\x64\x65\x64uplicate\x18\x0e \x01(\x0b\x32\x1a.spark.connect.DeduplicateH\x00R\x0b\x64\x65\x64uplicate\x12,\n\x05range\x18\x0f \x01(\x0b\x32\x14.spark.connect.RangeH\x00R\x05range\x12\x45\n\x0esubquery_alias\x18\x10 \x01(\x0b\x32\x1c.spark.connect.SubqueryAliasH\x00R\rsubqueryAlias\x12>\n\x0brepartition\x18\x11 \x01(\x0b\x32\x1a.spark.connect.RepartitionH\x00R\x0brepartition\x12*\n\x05to_df\x18\x12 \x01(\x0b\x32\x13.spark.connect.ToDFH\x00R\x04toDf\x12U\n\x14with_columns_renamed\x18\x13 \x01(\x0b\x32!.spark.connect.WithColumnsRenamedH\x00R\x12withColumnsRenamed\x12<\n\x0bshow_string\x18\x14 \x01(\x0b\x32\x19.spark.connect.ShowStringH\x00R\nshowString\x12)\n\x04\x64rop\x18\x15 \x01(\x0b\x32\x13.spark.connect.DropH\x00R\x04\x64rop\x12)\n\x04tail\x18\x16 \x01(\x0b\x32\x13.spark.connect.TailH\x00R\x04tail\x12?\n\x0cwith_columns\x18\x17 \x01(\x0b\x32\x1a.spark.connect.WithColumnsH\x00R\x0bwithColumns\x12)\n\x04hint\x18\x18 \x01(\x0b\x32\x13.spark.connect.HintH\x00R\x04hint\x12\x32\n\x07unpivot\x18\x19 \x01(\x0b\x32\x16.spark.connect.UnpivotH\x00R\x07unpivot\x12\x36\n\tto_schema\x18\x1a \x01(\x0b\x32\x17.spark.connect.ToSchemaH\x00R\x08toSchema\x12\x64\n\x19repartition_by_expression\x18\x1b \x01(\x0b\x32&.spark.connect.RepartitionByExpressionH\x00R\x17repartitionByExpression\x12\x45\n\x0emap_partitions\x18\x1c \x01(\x0b\x32\x1c.spark.connect.MapPartitionsH\x00R\rmapPartitions\x12H\n\x0f\x63ollect_metrics\x18\x1d \x01(\x0b\x32\x1d.spark.connect.CollectMetricsH\x00R\x0e\x63ollectMetrics\x12,\n\x05parse\x18\x1e \x01(\x0b\x32\x14.spark.connect.ParseH\x00R\x05parse\x12\x36\n\tgroup_map\x18\x1f \x01(\x0b\x32\x17.spark.connect.GroupMapH\x00R\x08groupMap\x12=\n\x0c\x63o_group_map\x18 \x01(\x0b\x32\x19.spark.connect.CoGroupMapH\x00R\ncoGroupMap\x12\x45\n\x0ewith_watermark\x18! \x01(\x0b\x32\x1c.spark.connect.WithWatermarkH\x00R\rwithWatermark\x12\x63\n\x1a\x61pply_in_pandas_with_state\x18" \x01(\x0b\x32%.spark.connect.ApplyInPandasWithStateH\x00R\x16\x61pplyInPandasWithState\x12<\n\x0bhtml_string\x18# \x01(\x0b\x32\x19.spark.connect.HtmlStringH\x00R\nhtmlString\x12X\n\x15\x63\x61\x63hed_local_relation\x18$ \x01(\x0b\x32".spark.connect.CachedLocalRelationH\x00R\x13\x63\x61\x63hedLocalRelation\x12\x30\n\x07\x66ill_na\x18Z \x01(\x0b\x32\x15.spark.connect.NAFillH\x00R\x06\x66illNa\x12\x30\n\x07\x64rop_na\x18[ \x01(\x0b\x32\x15.spark.connect.NADropH\x00R\x06\x64ropNa\x12\x34\n\x07replace\x18\\ \x01(\x0b\x32\x18.spark.connect.NAReplaceH\x00R\x07replace\x12\x36\n\x07summary\x18\x64 \x01(\x0b\x32\x1a.spark.connect.StatSummaryH\x00R\x07summary\x12\x39\n\x08\x63rosstab\x18\x65 \x01(\x0b\x32\x1b.spark.connect.StatCrosstabH\x00R\x08\x63rosstab\x12\x39\n\x08\x64\x65scribe\x18\x66 \x01(\x0b\x32\x1b.spark.connect.StatDescribeH\x00R\x08\x64\x65scribe\x12*\n\x03\x63ov\x18g \x01(\x0b\x32\x16.spark.connect.StatCovH\x00R\x03\x63ov\x12-\n\x04\x63orr\x18h \x01(\x0b\x32\x17.spark.connect.StatCorrH\x00R\x04\x63orr\x12L\n\x0f\x61pprox_quantile\x18i \x01(\x0b\x32!.spark.connect.StatApproxQuantileH\x00R\x0e\x61pproxQuantile\x12=\n\nfreq_items\x18j \x01(\x0b\x32\x1c.spark.connect.StatFreqItemsH\x00R\tfreqItems\x12:\n\tsample_by\x18k \x01(\x0b\x32\x1b.spark.connect.StatSampleByH\x00R\x08sampleBy\x12\x33\n\x07\x63\x61talog\x18\xc8\x01 \x01(\x0b\x32\x16.spark.connect.CatalogH\x00R\x07\x63\x61talog\x12\x35\n\textension\x18\xe6\x07 \x01(\x0b\x32\x14.google.protobuf.AnyH\x00R\textension\x12\x33\n\x07unknown\x18\xe7\x07 \x01(\x0b\x32\x16.spark.connect.UnknownH\x00R\x07unknownB\n\n\x08rel_type"\t\n\x07Unknown"[\n\x0eRelationCommon\x12\x1f\n\x0bsource_info\x18\x01 \x01(\tR\nsourceInfo\x12\x1c\n\x07plan_id\x18\x02 \x01(\x03H\x00R\x06planId\x88\x01\x01\x42\n\n\x08_plan_id"\xa9\x01\n\x03SQL\x12\x14\n\x05query\x18\x01 \x01(\tR\x05query\x12\x30\n\x04\x61rgs\x18\x02 \x03(\x0b\x32\x1c.spark.connect.SQL.ArgsEntryR\x04\x61rgs\x1aZ\n\tArgsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x37\n\x05value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x05value:\x02\x38\x01"\x97\x05\n\x04Read\x12\x41\n\x0bnamed_table\x18\x01 \x01(\x0b\x32\x1e.spark.connect.Read.NamedTableH\x00R\nnamedTable\x12\x41\n\x0b\x64\x61ta_source\x18\x02 \x01(\x0b\x32\x1e.spark.connect.Read.DataSourceH\x00R\ndataSource\x12!\n\x0cis_streaming\x18\x03 \x01(\x08R\x0bisStreaming\x1a\xc0\x01\n\nNamedTable\x12/\n\x13unparsed_identifier\x18\x01 \x01(\tR\x12unparsedIdentifier\x12\x45\n\x07options\x18\x02 \x03(\x0b\x32+.spark.connect.Read.NamedTable.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x1a\x95\x02\n\nDataSource\x12\x1b\n\x06\x66ormat\x18\x01 \x01(\tH\x00R\x06\x66ormat\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x12\x45\n\x07options\x18\x03 \x03(\x0b\x32+.spark.connect.Read.DataSource.OptionsEntryR\x07options\x12\x14\n\x05paths\x18\x04 \x03(\tR\x05paths\x12\x1e\n\npredicates\x18\x05 \x03(\tR\npredicates\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x42\t\n\x07_formatB\t\n\x07_schemaB\x0b\n\tread_type"u\n\x07Project\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12;\n\x0b\x65xpressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0b\x65xpressions"p\n\x06\x46ilter\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x37\n\tcondition\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\tcondition"\xd7\x03\n\x04Join\x12+\n\x04left\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x04left\x12-\n\x05right\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\x05right\x12@\n\x0ejoin_condition\x18\x03 \x01(\x0b\x32\x19.spark.connect.ExpressionR\rjoinCondition\x12\x39\n\tjoin_type\x18\x04 \x01(\x0e\x32\x1c.spark.connect.Join.JoinTypeR\x08joinType\x12#\n\rusing_columns\x18\x05 \x03(\tR\x0cusingColumns"\xd0\x01\n\x08JoinType\x12\x19\n\x15JOIN_TYPE_UNSPECIFIED\x10\x00\x12\x13\n\x0fJOIN_TYPE_INNER\x10\x01\x12\x18\n\x14JOIN_TYPE_FULL_OUTER\x10\x02\x12\x18\n\x14JOIN_TYPE_LEFT_OUTER\x10\x03\x12\x19\n\x15JOIN_TYPE_RIGHT_OUTER\x10\x04\x12\x17\n\x13JOIN_TYPE_LEFT_ANTI\x10\x05\x12\x17\n\x13JOIN_TYPE_LEFT_SEMI\x10\x06\x12\x13\n\x0fJOIN_TYPE_CROSS\x10\x07"\xdf\x03\n\x0cSetOperation\x12\x36\n\nleft_input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\tleftInput\x12\x38\n\x0bright_input\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\nrightInput\x12\x45\n\x0bset_op_type\x18\x03 \x01(\x0e\x32%.spark.connect.SetOperation.SetOpTypeR\tsetOpType\x12\x1a\n\x06is_all\x18\x04 \x01(\x08H\x00R\x05isAll\x88\x01\x01\x12\x1c\n\x07\x62y_name\x18\x05 \x01(\x08H\x01R\x06\x62yName\x88\x01\x01\x12\x37\n\x15\x61llow_missing_columns\x18\x06 \x01(\x08H\x02R\x13\x61llowMissingColumns\x88\x01\x01"r\n\tSetOpType\x12\x1b\n\x17SET_OP_TYPE_UNSPECIFIED\x10\x00\x12\x19\n\x15SET_OP_TYPE_INTERSECT\x10\x01\x12\x15\n\x11SET_OP_TYPE_UNION\x10\x02\x12\x16\n\x12SET_OP_TYPE_EXCEPT\x10\x03\x42\t\n\x07_is_allB\n\n\x08_by_nameB\x18\n\x16_allow_missing_columns"L\n\x05Limit\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"O\n\x06Offset\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x16\n\x06offset\x18\x02 \x01(\x05R\x06offset"K\n\x04Tail\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"\xc6\x04\n\tAggregate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x41\n\ngroup_type\x18\x02 \x01(\x0e\x32".spark.connect.Aggregate.GroupTypeR\tgroupType\x12L\n\x14grouping_expressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12N\n\x15\x61ggregate_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x14\x61ggregateExpressions\x12\x34\n\x05pivot\x18\x05 \x01(\x0b\x32\x1e.spark.connect.Aggregate.PivotR\x05pivot\x1ao\n\x05Pivot\x12+\n\x03\x63ol\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x39\n\x06values\x18\x02 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x81\x01\n\tGroupType\x12\x1a\n\x16GROUP_TYPE_UNSPECIFIED\x10\x00\x12\x16\n\x12GROUP_TYPE_GROUPBY\x10\x01\x12\x15\n\x11GROUP_TYPE_ROLLUP\x10\x02\x12\x13\n\x0fGROUP_TYPE_CUBE\x10\x03\x12\x14\n\x10GROUP_TYPE_PIVOT\x10\x04"\xa0\x01\n\x04Sort\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x05order\x18\x02 \x03(\x0b\x32#.spark.connect.Expression.SortOrderR\x05order\x12 \n\tis_global\x18\x03 \x01(\x08H\x00R\x08isGlobal\x88\x01\x01\x42\x0c\n\n_is_global"\x8d\x01\n\x04\x44rop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x33\n\x07\x63olumns\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07\x63olumns\x12!\n\x0c\x63olumn_names\x18\x03 \x03(\tR\x0b\x63olumnNames"\xf0\x01\n\x0b\x44\x65\x64uplicate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames\x12\x32\n\x13\x61ll_columns_as_keys\x18\x03 \x01(\x08H\x00R\x10\x61llColumnsAsKeys\x88\x01\x01\x12.\n\x10within_watermark\x18\x04 \x01(\x08H\x01R\x0fwithinWatermark\x88\x01\x01\x42\x16\n\x14_all_columns_as_keysB\x13\n\x11_within_watermark"Y\n\rLocalRelation\x12\x17\n\x04\x64\x61ta\x18\x01 \x01(\x0cH\x00R\x04\x64\x61ta\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x42\x07\n\x05_dataB\t\n\x07_schema"_\n\x13\x43\x61\x63hedLocalRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x12\n\x04hash\x18\x03 \x01(\tR\x04hash"\x91\x02\n\x06Sample\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1f\n\x0blower_bound\x18\x02 \x01(\x01R\nlowerBound\x12\x1f\n\x0bupper_bound\x18\x03 \x01(\x01R\nupperBound\x12.\n\x10with_replacement\x18\x04 \x01(\x08H\x00R\x0fwithReplacement\x88\x01\x01\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x01R\x04seed\x88\x01\x01\x12/\n\x13\x64\x65terministic_order\x18\x06 \x01(\x08R\x12\x64\x65terministicOrderB\x13\n\x11_with_replacementB\x07\n\x05_seed"\x91\x01\n\x05Range\x12\x19\n\x05start\x18\x01 \x01(\x03H\x00R\x05start\x88\x01\x01\x12\x10\n\x03\x65nd\x18\x02 \x01(\x03R\x03\x65nd\x12\x12\n\x04step\x18\x03 \x01(\x03R\x04step\x12*\n\x0enum_partitions\x18\x04 \x01(\x05H\x01R\rnumPartitions\x88\x01\x01\x42\x08\n\x06_startB\x11\n\x0f_num_partitions"r\n\rSubqueryAlias\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05\x61lias\x18\x02 \x01(\tR\x05\x61lias\x12\x1c\n\tqualifier\x18\x03 \x03(\tR\tqualifier"\x8e\x01\n\x0bRepartition\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12%\n\x0enum_partitions\x18\x02 \x01(\x05R\rnumPartitions\x12\x1d\n\x07shuffle\x18\x03 \x01(\x08H\x00R\x07shuffle\x88\x01\x01\x42\n\n\x08_shuffle"\x8e\x01\n\nShowString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate\x12\x1a\n\x08vertical\x18\x04 \x01(\x08R\x08vertical"r\n\nHtmlString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate"\\\n\x0bStatSummary\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1e\n\nstatistics\x18\x02 \x03(\tR\nstatistics"Q\n\x0cStatDescribe\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols"e\n\x0cStatCrosstab\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"`\n\x07StatCov\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"\x89\x01\n\x08StatCorr\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2\x12\x1b\n\x06method\x18\x04 \x01(\tH\x00R\x06method\x88\x01\x01\x42\t\n\x07_method"\xa4\x01\n\x12StatApproxQuantile\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12$\n\rprobabilities\x18\x03 \x03(\x01R\rprobabilities\x12%\n\x0erelative_error\x18\x04 \x01(\x01R\rrelativeError"}\n\rStatFreqItems\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x1d\n\x07support\x18\x03 \x01(\x01H\x00R\x07support\x88\x01\x01\x42\n\n\x08_support"\xb5\x02\n\x0cStatSampleBy\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03\x63ol\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x42\n\tfractions\x18\x03 \x03(\x0b\x32$.spark.connect.StatSampleBy.FractionR\tfractions\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x00R\x04seed\x88\x01\x01\x1a\x63\n\x08\x46raction\x12;\n\x07stratum\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x07stratum\x12\x1a\n\x08\x66raction\x18\x02 \x01(\x01R\x08\x66ractionB\x07\n\x05_seed"\x86\x01\n\x06NAFill\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x39\n\x06values\x18\x03 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x86\x01\n\x06NADrop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\'\n\rmin_non_nulls\x18\x03 \x01(\x05H\x00R\x0bminNonNulls\x88\x01\x01\x42\x10\n\x0e_min_non_nulls"\xa8\x02\n\tNAReplace\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12H\n\x0creplacements\x18\x03 \x03(\x0b\x32$.spark.connect.NAReplace.ReplacementR\x0creplacements\x1a\x8d\x01\n\x0bReplacement\x12>\n\told_value\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08oldValue\x12>\n\tnew_value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08newValue"X\n\x04ToDF\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames"\xef\x01\n\x12WithColumnsRenamed\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x65\n\x12rename_columns_map\x18\x02 \x03(\x0b\x32\x37.spark.connect.WithColumnsRenamed.RenameColumnsMapEntryR\x10renameColumnsMap\x1a\x43\n\x15RenameColumnsMapEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"w\n\x0bWithColumns\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x07\x61liases\x18\x02 \x03(\x0b\x32\x1f.spark.connect.Expression.AliasR\x07\x61liases"\x86\x01\n\rWithWatermark\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1d\n\nevent_time\x18\x02 \x01(\tR\teventTime\x12\'\n\x0f\x64\x65lay_threshold\x18\x03 \x01(\tR\x0e\x64\x65layThreshold"\x84\x01\n\x04Hint\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x39\n\nparameters\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\nparameters"\xc7\x02\n\x07Unpivot\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03ids\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x03ids\x12:\n\x06values\x18\x03 \x01(\x0b\x32\x1d.spark.connect.Unpivot.ValuesH\x00R\x06values\x88\x01\x01\x12\x30\n\x14variable_column_name\x18\x04 \x01(\tR\x12variableColumnName\x12*\n\x11value_column_name\x18\x05 \x01(\tR\x0fvalueColumnName\x1a;\n\x06Values\x12\x31\n\x06values\x18\x01 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x06valuesB\t\n\x07_values"j\n\x08ToSchema\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12/\n\x06schema\x18\x02 \x01(\x0b\x32\x17.spark.connect.DataTypeR\x06schema"\xcb\x01\n\x17RepartitionByExpression\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x0fpartition_exprs\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0epartitionExprs\x12*\n\x0enum_partitions\x18\x03 \x01(\x05H\x00R\rnumPartitions\x88\x01\x01\x42\x11\n\x0f_num_partitions"\xb5\x01\n\rMapPartitions\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x04\x66unc\x18\x02 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12"\n\nis_barrier\x18\x03 \x01(\x08H\x00R\tisBarrier\x88\x01\x01\x42\r\n\x0b_is_barrier"\x97\x02\n\x08GroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12J\n\x13sorting_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x12sortingExpressions"\x8e\x04\n\nCoGroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12W\n\x1ainput_grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18inputGroupingExpressions\x12-\n\x05other\x18\x03 \x01(\x0b\x32\x17.spark.connect.RelationR\x05other\x12W\n\x1aother_grouping_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18otherGroupingExpressions\x12\x42\n\x04\x66unc\x18\x05 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12U\n\x19input_sorting_expressions\x18\x06 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17inputSortingExpressions\x12U\n\x19other_sorting_expressions\x18\x07 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17otherSortingExpressions"\xe5\x02\n\x16\x41pplyInPandasWithState\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12#\n\routput_schema\x18\x04 \x01(\tR\x0coutputSchema\x12!\n\x0cstate_schema\x18\x05 \x01(\tR\x0bstateSchema\x12\x1f\n\x0boutput_mode\x18\x06 \x01(\tR\noutputMode\x12!\n\x0ctimeout_conf\x18\x07 \x01(\tR\x0btimeoutConf"\x88\x01\n\x0e\x43ollectMetrics\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x33\n\x07metrics\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07metrics"\x84\x03\n\x05Parse\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x38\n\x06\x66ormat\x18\x02 \x01(\x0e\x32 .spark.connect.Parse.ParseFormatR\x06\x66ormat\x12\x34\n\x06schema\x18\x03 \x01(\x0b\x32\x17.spark.connect.DataTypeH\x00R\x06schema\x88\x01\x01\x12;\n\x07options\x18\x04 \x03(\x0b\x32!.spark.connect.Parse.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"X\n\x0bParseFormat\x12\x1c\n\x18PARSE_FORMAT_UNSPECIFIED\x10\x00\x12\x14\n\x10PARSE_FORMAT_CSV\x10\x01\x12\x15\n\x11PARSE_FORMAT_JSON\x10\x02\x42\t\n\x07_schemaB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3' + b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xd0\x17\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n \x01(\x0b\x32\x12.spark.connect.SQLH\x00R\x03sql\x12\x45\n\x0elocal_relation\x18\x0b \x01(\x0b\x32\x1c.spark.connect.LocalRelationH\x00R\rlocalRelation\x12/\n\x06sample\x18\x0c \x01(\x0b\x32\x15.spark.connect.SampleH\x00R\x06sample\x12/\n\x06offset\x18\r \x01(\x0b\x32\x15.spark.connect.OffsetH\x00R\x06offset\x12>\n\x0b\x64\x65\x64uplicate\x18\x0e \x01(\x0b\x32\x1a.spark.connect.DeduplicateH\x00R\x0b\x64\x65\x64uplicate\x12,\n\x05range\x18\x0f \x01(\x0b\x32\x14.spark.connect.RangeH\x00R\x05range\x12\x45\n\x0esubquery_alias\x18\x10 \x01(\x0b\x32\x1c.spark.connect.SubqueryAliasH\x00R\rsubqueryAlias\x12>\n\x0brepartition\x18\x11 \x01(\x0b\x32\x1a.spark.connect.RepartitionH\x00R\x0brepartition\x12*\n\x05to_df\x18\x12 \x01(\x0b\x32\x13.spark.connect.ToDFH\x00R\x04toDf\x12U\n\x14with_columns_renamed\x18\x13 \x01(\x0b\x32!.spark.connect.WithColumnsRenamedH\x00R\x12withColumnsRenamed\x12<\n\x0bshow_string\x18\x14 \x01(\x0b\x32\x19.spark.connect.ShowStringH\x00R\nshowString\x12)\n\x04\x64rop\x18\x15 \x01(\x0b\x32\x13.spark.connect.DropH\x00R\x04\x64rop\x12)\n\x04tail\x18\x16 \x01(\x0b\x32\x13.spark.connect.TailH\x00R\x04tail\x12?\n\x0cwith_columns\x18\x17 \x01(\x0b\x32\x1a.spark.connect.WithColumnsH\x00R\x0bwithColumns\x12)\n\x04hint\x18\x18 \x01(\x0b\x32\x13.spark.connect.HintH\x00R\x04hint\x12\x32\n\x07unpivot\x18\x19 \x01(\x0b\x32\x16.spark.connect.UnpivotH\x00R\x07unpivot\x12\x36\n\tto_schema\x18\x1a \x01(\x0b\x32\x17.spark.connect.ToSchemaH\x00R\x08toSchema\x12\x64\n\x19repartition_by_expression\x18\x1b \x01(\x0b\x32&.spark.connect.RepartitionByExpressionH\x00R\x17repartitionByExpression\x12\x45\n\x0emap_partitions\x18\x1c \x01(\x0b\x32\x1c.spark.connect.MapPartitionsH\x00R\rmapPartitions\x12H\n\x0f\x63ollect_metrics\x18\x1d \x01(\x0b\x32\x1d.spark.connect.CollectMetricsH\x00R\x0e\x63ollectMetrics\x12,\n\x05parse\x18\x1e \x01(\x0b\x32\x14.spark.connect.ParseH\x00R\x05parse\x12\x36\n\tgroup_map\x18\x1f \x01(\x0b\x32\x17.spark.connect.GroupMapH\x00R\x08groupMap\x12=\n\x0c\x63o_group_map\x18 \x01(\x0b\x32\x19.spark.connect.CoGroupMapH\x00R\ncoGroupMap\x12\x45\n\x0ewith_watermark\x18! \x01(\x0b\x32\x1c.spark.connect.WithWatermarkH\x00R\rwithWatermark\x12\x63\n\x1a\x61pply_in_pandas_with_state\x18" \x01(\x0b\x32%.spark.connect.ApplyInPandasWithStateH\x00R\x16\x61pplyInPandasWithState\x12<\n\x0bhtml_string\x18# \x01(\x0b\x32\x19.spark.connect.HtmlStringH\x00R\nhtmlString\x12X\n\x15\x63\x61\x63hed_local_relation\x18$ \x01(\x0b\x32".spark.connect.CachedLocalRelationH\x00R\x13\x63\x61\x63hedLocalRelation\x12[\n\x16\x63\x61\x63hed_remote_relation\x18% \x01(\x0b\x32#.spark.connect.CachedRemoteRelationH\x00R\x14\x63\x61\x63hedRemoteRelation\x12\x30\n\x07\x66ill_na\x18Z \x01(\x0b\x32\x15.spark.connect.NAFillH\x00R\x06\x66illNa\x12\x30\n\x07\x64rop_na\x18[ \x01(\x0b\x32\x15.spark.connect.NADropH\x00R\x06\x64ropNa\x12\x34\n\x07replace\x18\\ \x01(\x0b\x32\x18.spark.connect.NAReplaceH\x00R\x07replace\x12\x36\n\x07summary\x18\x64 \x01(\x0b\x32\x1a.spark.connect.StatSummaryH\x00R\x07summary\x12\x39\n\x08\x63rosstab\x18\x65 \x01(\x0b\x32\x1b.spark.connect.StatCrosstabH\x00R\x08\x63rosstab\x12\x39\n\x08\x64\x65scribe\x18\x66 \x01(\x0b\x32\x1b.spark.connect.StatDescribeH\x00R\x08\x64\x65scribe\x12*\n\x03\x63ov\x18g \x01(\x0b\x32\x16.spark.connect.StatCovH\x00R\x03\x63ov\x12-\n\x04\x63orr\x18h \x01(\x0b\x32\x17.spark.connect.StatCorrH\x00R\x04\x63orr\x12L\n\x0f\x61pprox_quantile\x18i \x01(\x0b\x32!.spark.connect.StatApproxQuantileH\x00R\x0e\x61pproxQuantile\x12=\n\nfreq_items\x18j \x01(\x0b\x32\x1c.spark.connect.StatFreqItemsH\x00R\tfreqItems\x12:\n\tsample_by\x18k \x01(\x0b\x32\x1b.spark.connect.StatSampleByH\x00R\x08sampleBy\x12\x33\n\x07\x63\x61talog\x18\xc8\x01 \x01(\x0b\x32\x16.spark.connect.CatalogH\x00R\x07\x63\x61talog\x12\x35\n\textension\x18\xe6\x07 \x01(\x0b\x32\x14.google.protobuf.AnyH\x00R\textension\x12\x33\n\x07unknown\x18\xe7\x07 \x01(\x0b\x32\x16.spark.connect.UnknownH\x00R\x07unknownB\n\n\x08rel_type"\t\n\x07Unknown"[\n\x0eRelationCommon\x12\x1f\n\x0bsource_info\x18\x01 \x01(\tR\nsourceInfo\x12\x1c\n\x07plan_id\x18\x02 \x01(\x03H\x00R\x06planId\x88\x01\x01\x42\n\n\x08_plan_id"\xa9\x01\n\x03SQL\x12\x14\n\x05query\x18\x01 \x01(\tR\x05query\x12\x30\n\x04\x61rgs\x18\x02 \x03(\x0b\x32\x1c.spark.connect.SQL.ArgsEntryR\x04\x61rgs\x1aZ\n\tArgsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x37\n\x05value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x05value:\x02\x38\x01"\x97\x05\n\x04Read\x12\x41\n\x0bnamed_table\x18\x01 \x01(\x0b\x32\x1e.spark.connect.Read.NamedTableH\x00R\nnamedTable\x12\x41\n\x0b\x64\x61ta_source\x18\x02 \x01(\x0b\x32\x1e.spark.connect.Read.DataSourceH\x00R\ndataSource\x12!\n\x0cis_streaming\x18\x03 \x01(\x08R\x0bisStreaming\x1a\xc0\x01\n\nNamedTable\x12/\n\x13unparsed_identifier\x18\x01 \x01(\tR\x12unparsedIdentifier\x12\x45\n\x07options\x18\x02 \x03(\x0b\x32+.spark.connect.Read.NamedTable.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x1a\x95\x02\n\nDataSource\x12\x1b\n\x06\x66ormat\x18\x01 \x01(\tH\x00R\x06\x66ormat\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x12\x45\n\x07options\x18\x03 \x03(\x0b\x32+.spark.connect.Read.DataSource.OptionsEntryR\x07options\x12\x14\n\x05paths\x18\x04 \x03(\tR\x05paths\x12\x1e\n\npredicates\x18\x05 \x03(\tR\npredicates\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x42\t\n\x07_formatB\t\n\x07_schemaB\x0b\n\tread_type"u\n\x07Project\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12;\n\x0b\x65xpressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0b\x65xpressions"p\n\x06\x46ilter\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x37\n\tcondition\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\tcondition"\xd7\x03\n\x04Join\x12+\n\x04left\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x04left\x12-\n\x05right\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\x05right\x12@\n\x0ejoin_condition\x18\x03 \x01(\x0b\x32\x19.spark.connect.ExpressionR\rjoinCondition\x12\x39\n\tjoin_type\x18\x04 \x01(\x0e\x32\x1c.spark.connect.Join.JoinTypeR\x08joinType\x12#\n\rusing_columns\x18\x05 \x03(\tR\x0cusingColumns"\xd0\x01\n\x08JoinType\x12\x19\n\x15JOIN_TYPE_UNSPECIFIED\x10\x00\x12\x13\n\x0fJOIN_TYPE_INNER\x10\x01\x12\x18\n\x14JOIN_TYPE_FULL_OUTER\x10\x02\x12\x18\n\x14JOIN_TYPE_LEFT_OUTER\x10\x03\x12\x19\n\x15JOIN_TYPE_RIGHT_OUTER\x10\x04\x12\x17\n\x13JOIN_TYPE_LEFT_ANTI\x10\x05\x12\x17\n\x13JOIN_TYPE_LEFT_SEMI\x10\x06\x12\x13\n\x0fJOIN_TYPE_CROSS\x10\x07"\xdf\x03\n\x0cSetOperation\x12\x36\n\nleft_input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\tleftInput\x12\x38\n\x0bright_input\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\nrightInput\x12\x45\n\x0bset_op_type\x18\x03 \x01(\x0e\x32%.spark.connect.SetOperation.SetOpTypeR\tsetOpType\x12\x1a\n\x06is_all\x18\x04 \x01(\x08H\x00R\x05isAll\x88\x01\x01\x12\x1c\n\x07\x62y_name\x18\x05 \x01(\x08H\x01R\x06\x62yName\x88\x01\x01\x12\x37\n\x15\x61llow_missing_columns\x18\x06 \x01(\x08H\x02R\x13\x61llowMissingColumns\x88\x01\x01"r\n\tSetOpType\x12\x1b\n\x17SET_OP_TYPE_UNSPECIFIED\x10\x00\x12\x19\n\x15SET_OP_TYPE_INTERSECT\x10\x01\x12\x15\n\x11SET_OP_TYPE_UNION\x10\x02\x12\x16\n\x12SET_OP_TYPE_EXCEPT\x10\x03\x42\t\n\x07_is_allB\n\n\x08_by_nameB\x18\n\x16_allow_missing_columns"L\n\x05Limit\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"O\n\x06Offset\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x16\n\x06offset\x18\x02 \x01(\x05R\x06offset"K\n\x04Tail\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"\xc6\x04\n\tAggregate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x41\n\ngroup_type\x18\x02 \x01(\x0e\x32".spark.connect.Aggregate.GroupTypeR\tgroupType\x12L\n\x14grouping_expressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12N\n\x15\x61ggregate_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x14\x61ggregateExpressions\x12\x34\n\x05pivot\x18\x05 \x01(\x0b\x32\x1e.spark.connect.Aggregate.PivotR\x05pivot\x1ao\n\x05Pivot\x12+\n\x03\x63ol\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x39\n\x06values\x18\x02 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x81\x01\n\tGroupType\x12\x1a\n\x16GROUP_TYPE_UNSPECIFIED\x10\x00\x12\x16\n\x12GROUP_TYPE_GROUPBY\x10\x01\x12\x15\n\x11GROUP_TYPE_ROLLUP\x10\x02\x12\x13\n\x0fGROUP_TYPE_CUBE\x10\x03\x12\x14\n\x10GROUP_TYPE_PIVOT\x10\x04"\xa0\x01\n\x04Sort\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x05order\x18\x02 \x03(\x0b\x32#.spark.connect.Expression.SortOrderR\x05order\x12 \n\tis_global\x18\x03 \x01(\x08H\x00R\x08isGlobal\x88\x01\x01\x42\x0c\n\n_is_global"\x8d\x01\n\x04\x44rop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x33\n\x07\x63olumns\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07\x63olumns\x12!\n\x0c\x63olumn_names\x18\x03 \x03(\tR\x0b\x63olumnNames"\xf0\x01\n\x0b\x44\x65\x64uplicate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames\x12\x32\n\x13\x61ll_columns_as_keys\x18\x03 \x01(\x08H\x00R\x10\x61llColumnsAsKeys\x88\x01\x01\x12.\n\x10within_watermark\x18\x04 \x01(\x08H\x01R\x0fwithinWatermark\x88\x01\x01\x42\x16\n\x14_all_columns_as_keysB\x13\n\x11_within_watermark"Y\n\rLocalRelation\x12\x17\n\x04\x64\x61ta\x18\x01 \x01(\x0cH\x00R\x04\x64\x61ta\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x42\x07\n\x05_dataB\t\n\x07_schema"_\n\x13\x43\x61\x63hedLocalRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x12\n\x04hash\x18\x03 \x01(\tR\x04hash"l\n\x14\x43\x61\x63hedRemoteRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x1e\n\nrelationId\x18\x03 \x01(\tR\nrelationId"\x91\x02\n\x06Sample\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1f\n\x0blower_bound\x18\x02 \x01(\x01R\nlowerBound\x12\x1f\n\x0bupper_bound\x18\x03 \x01(\x01R\nupperBound\x12.\n\x10with_replacement\x18\x04 \x01(\x08H\x00R\x0fwithReplacement\x88\x01\x01\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x01R\x04seed\x88\x01\x01\x12/\n\x13\x64\x65terministic_order\x18\x06 \x01(\x08R\x12\x64\x65terministicOrderB\x13\n\x11_with_replacementB\x07\n\x05_seed"\x91\x01\n\x05Range\x12\x19\n\x05start\x18\x01 \x01(\x03H\x00R\x05start\x88\x01\x01\x12\x10\n\x03\x65nd\x18\x02 \x01(\x03R\x03\x65nd\x12\x12\n\x04step\x18\x03 \x01(\x03R\x04step\x12*\n\x0enum_partitions\x18\x04 \x01(\x05H\x01R\rnumPartitions\x88\x01\x01\x42\x08\n\x06_startB\x11\n\x0f_num_partitions"r\n\rSubqueryAlias\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05\x61lias\x18\x02 \x01(\tR\x05\x61lias\x12\x1c\n\tqualifier\x18\x03 \x03(\tR\tqualifier"\x8e\x01\n\x0bRepartition\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12%\n\x0enum_partitions\x18\x02 \x01(\x05R\rnumPartitions\x12\x1d\n\x07shuffle\x18\x03 \x01(\x08H\x00R\x07shuffle\x88\x01\x01\x42\n\n\x08_shuffle"\x8e\x01\n\nShowString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate\x12\x1a\n\x08vertical\x18\x04 \x01(\x08R\x08vertical"r\n\nHtmlString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate"\\\n\x0bStatSummary\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1e\n\nstatistics\x18\x02 \x03(\tR\nstatistics"Q\n\x0cStatDescribe\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols"e\n\x0cStatCrosstab\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"`\n\x07StatCov\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"\x89\x01\n\x08StatCorr\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2\x12\x1b\n\x06method\x18\x04 \x01(\tH\x00R\x06method\x88\x01\x01\x42\t\n\x07_method"\xa4\x01\n\x12StatApproxQuantile\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12$\n\rprobabilities\x18\x03 \x03(\x01R\rprobabilities\x12%\n\x0erelative_error\x18\x04 \x01(\x01R\rrelativeError"}\n\rStatFreqItems\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x1d\n\x07support\x18\x03 \x01(\x01H\x00R\x07support\x88\x01\x01\x42\n\n\x08_support"\xb5\x02\n\x0cStatSampleBy\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03\x63ol\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x42\n\tfractions\x18\x03 \x03(\x0b\x32$.spark.connect.StatSampleBy.FractionR\tfractions\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x00R\x04seed\x88\x01\x01\x1a\x63\n\x08\x46raction\x12;\n\x07stratum\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x07stratum\x12\x1a\n\x08\x66raction\x18\x02 \x01(\x01R\x08\x66ractionB\x07\n\x05_seed"\x86\x01\n\x06NAFill\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x39\n\x06values\x18\x03 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x86\x01\n\x06NADrop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\'\n\rmin_non_nulls\x18\x03 \x01(\x05H\x00R\x0bminNonNulls\x88\x01\x01\x42\x10\n\x0e_min_non_nulls"\xa8\x02\n\tNAReplace\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12H\n\x0creplacements\x18\x03 \x03(\x0b\x32$.spark.connect.NAReplace.ReplacementR\x0creplacements\x1a\x8d\x01\n\x0bReplacement\x12>\n\told_value\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08oldValue\x12>\n\tnew_value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08newValue"X\n\x04ToDF\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames"\xef\x01\n\x12WithColumnsRenamed\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x65\n\x12rename_columns_map\x18\x02 \x03(\x0b\x32\x37.spark.connect.WithColumnsRenamed.RenameColumnsMapEntryR\x10renameColumnsMap\x1a\x43\n\x15RenameColumnsMapEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"w\n\x0bWithColumns\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x07\x61liases\x18\x02 \x03(\x0b\x32\x1f.spark.connect.Expression.AliasR\x07\x61liases"\x86\x01\n\rWithWatermark\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1d\n\nevent_time\x18\x02 \x01(\tR\teventTime\x12\'\n\x0f\x64\x65lay_threshold\x18\x03 \x01(\tR\x0e\x64\x65layThreshold"\x84\x01\n\x04Hint\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x39\n\nparameters\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\nparameters"\xc7\x02\n\x07Unpivot\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03ids\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x03ids\x12:\n\x06values\x18\x03 \x01(\x0b\x32\x1d.spark.connect.Unpivot.ValuesH\x00R\x06values\x88\x01\x01\x12\x30\n\x14variable_column_name\x18\x04 \x01(\tR\x12variableColumnName\x12*\n\x11value_column_name\x18\x05 \x01(\tR\x0fvalueColumnName\x1a;\n\x06Values\x12\x31\n\x06values\x18\x01 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x06valuesB\t\n\x07_values"j\n\x08ToSchema\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12/\n\x06schema\x18\x02 \x01(\x0b\x32\x17.spark.connect.DataTypeR\x06schema"\xcb\x01\n\x17RepartitionByExpression\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x0fpartition_exprs\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0epartitionExprs\x12*\n\x0enum_partitions\x18\x03 \x01(\x05H\x00R\rnumPartitions\x88\x01\x01\x42\x11\n\x0f_num_partitions"\xb5\x01\n\rMapPartitions\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x04\x66unc\x18\x02 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12"\n\nis_barrier\x18\x03 \x01(\x08H\x00R\tisBarrier\x88\x01\x01\x42\r\n\x0b_is_barrier"\x97\x02\n\x08GroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12J\n\x13sorting_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x12sortingExpressions"\x8e\x04\n\nCoGroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12W\n\x1ainput_grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18inputGroupingExpressions\x12-\n\x05other\x18\x03 \x01(\x0b\x32\x17.spark.connect.RelationR\x05other\x12W\n\x1aother_grouping_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18otherGroupingExpressions\x12\x42\n\x04\x66unc\x18\x05 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12U\n\x19input_sorting_expressions\x18\x06 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17inputSortingExpressions\x12U\n\x19other_sorting_expressions\x18\x07 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17otherSortingExpressions"\xe5\x02\n\x16\x41pplyInPandasWithState\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12#\n\routput_schema\x18\x04 \x01(\tR\x0coutputSchema\x12!\n\x0cstate_schema\x18\x05 \x01(\tR\x0bstateSchema\x12\x1f\n\x0boutput_mode\x18\x06 \x01(\tR\noutputMode\x12!\n\x0ctimeout_conf\x18\x07 \x01(\tR\x0btimeoutConf"\x88\x01\n\x0e\x43ollectMetrics\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x33\n\x07metrics\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07metrics"\x84\x03\n\x05Parse\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x38\n\x06\x66ormat\x18\x02 \x01(\x0e\x32 .spark.connect.Parse.ParseFormatR\x06\x66ormat\x12\x34\n\x06schema\x18\x03 \x01(\x0b\x32\x17.spark.connect.DataTypeH\x00R\x06schema\x88\x01\x01\x12;\n\x07options\x18\x04 \x03(\x0b\x32!.spark.connect.Parse.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"X\n\x0bParseFormat\x12\x1c\n\x18PARSE_FORMAT_UNSPECIFIED\x10\x00\x12\x14\n\x10PARSE_FORMAT_CSV\x10\x01\x12\x15\n\x11PARSE_FORMAT_JSON\x10\x02\x42\t\n\x07_schemaB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3' ) @@ -64,6 +64,7 @@ _DEDUPLICATE = DESCRIPTOR.message_types_by_name["Deduplicate"] _LOCALRELATION = DESCRIPTOR.message_types_by_name["LocalRelation"] _CACHEDLOCALRELATION = DESCRIPTOR.message_types_by_name["CachedLocalRelation"] +_CACHEDREMOTERELATION = DESCRIPTOR.message_types_by_name["CachedRemoteRelation"] _SAMPLE = DESCRIPTOR.message_types_by_name["Sample"] _RANGE = DESCRIPTOR.message_types_by_name["Range"] _SUBQUERYALIAS = DESCRIPTOR.message_types_by_name["SubqueryAlias"] @@ -364,6 +365,17 @@ ) _sym_db.RegisterMessage(CachedLocalRelation) +CachedRemoteRelation = _reflection.GeneratedProtocolMessageType( + "CachedRemoteRelation", + (_message.Message,), + { + "DESCRIPTOR": _CACHEDREMOTERELATION, + "__module__": "spark.connect.relations_pb2" + # @@protoc_insertion_point(class_scope:spark.connect.CachedRemoteRelation) + }, +) +_sym_db.RegisterMessage(CachedRemoteRelation) + Sample = _reflection.GeneratedProtocolMessageType( "Sample", (_message.Message,), @@ -772,131 +784,133 @@ _PARSE_OPTIONSENTRY._options = None _PARSE_OPTIONSENTRY._serialized_options = b"8\001" _RELATION._serialized_start = 165 - _RELATION._serialized_end = 3096 - _UNKNOWN._serialized_start = 3098 - _UNKNOWN._serialized_end = 3107 - _RELATIONCOMMON._serialized_start = 3109 - _RELATIONCOMMON._serialized_end = 3200 - _SQL._serialized_start = 3203 - _SQL._serialized_end = 3372 - _SQL_ARGSENTRY._serialized_start = 3282 - _SQL_ARGSENTRY._serialized_end = 3372 - _READ._serialized_start = 3375 - _READ._serialized_end = 4038 - _READ_NAMEDTABLE._serialized_start = 3553 - _READ_NAMEDTABLE._serialized_end = 3745 - _READ_NAMEDTABLE_OPTIONSENTRY._serialized_start = 3687 - _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 3745 - _READ_DATASOURCE._serialized_start = 3748 - _READ_DATASOURCE._serialized_end = 4025 - _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3687 - _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 3745 - _PROJECT._serialized_start = 4040 - _PROJECT._serialized_end = 4157 - _FILTER._serialized_start = 4159 - _FILTER._serialized_end = 4271 - _JOIN._serialized_start = 4274 - _JOIN._serialized_end = 4745 - _JOIN_JOINTYPE._serialized_start = 4537 - _JOIN_JOINTYPE._serialized_end = 4745 - _SETOPERATION._serialized_start = 4748 - _SETOPERATION._serialized_end = 5227 - _SETOPERATION_SETOPTYPE._serialized_start = 5064 - _SETOPERATION_SETOPTYPE._serialized_end = 5178 - _LIMIT._serialized_start = 5229 - _LIMIT._serialized_end = 5305 - _OFFSET._serialized_start = 5307 - _OFFSET._serialized_end = 5386 - _TAIL._serialized_start = 5388 - _TAIL._serialized_end = 5463 - _AGGREGATE._serialized_start = 5466 - _AGGREGATE._serialized_end = 6048 - _AGGREGATE_PIVOT._serialized_start = 5805 - _AGGREGATE_PIVOT._serialized_end = 5916 - _AGGREGATE_GROUPTYPE._serialized_start = 5919 - _AGGREGATE_GROUPTYPE._serialized_end = 6048 - _SORT._serialized_start = 6051 - _SORT._serialized_end = 6211 - _DROP._serialized_start = 6214 - _DROP._serialized_end = 6355 - _DEDUPLICATE._serialized_start = 6358 - _DEDUPLICATE._serialized_end = 6598 - _LOCALRELATION._serialized_start = 6600 - _LOCALRELATION._serialized_end = 6689 - _CACHEDLOCALRELATION._serialized_start = 6691 - _CACHEDLOCALRELATION._serialized_end = 6786 - _SAMPLE._serialized_start = 6789 - _SAMPLE._serialized_end = 7062 - _RANGE._serialized_start = 7065 - _RANGE._serialized_end = 7210 - _SUBQUERYALIAS._serialized_start = 7212 - _SUBQUERYALIAS._serialized_end = 7326 - _REPARTITION._serialized_start = 7329 - _REPARTITION._serialized_end = 7471 - _SHOWSTRING._serialized_start = 7474 - _SHOWSTRING._serialized_end = 7616 - _HTMLSTRING._serialized_start = 7618 - _HTMLSTRING._serialized_end = 7732 - _STATSUMMARY._serialized_start = 7734 - _STATSUMMARY._serialized_end = 7826 - _STATDESCRIBE._serialized_start = 7828 - _STATDESCRIBE._serialized_end = 7909 - _STATCROSSTAB._serialized_start = 7911 - _STATCROSSTAB._serialized_end = 8012 - _STATCOV._serialized_start = 8014 - _STATCOV._serialized_end = 8110 - _STATCORR._serialized_start = 8113 - _STATCORR._serialized_end = 8250 - _STATAPPROXQUANTILE._serialized_start = 8253 - _STATAPPROXQUANTILE._serialized_end = 8417 - _STATFREQITEMS._serialized_start = 8419 - _STATFREQITEMS._serialized_end = 8544 - _STATSAMPLEBY._serialized_start = 8547 - _STATSAMPLEBY._serialized_end = 8856 - _STATSAMPLEBY_FRACTION._serialized_start = 8748 - _STATSAMPLEBY_FRACTION._serialized_end = 8847 - _NAFILL._serialized_start = 8859 - _NAFILL._serialized_end = 8993 - _NADROP._serialized_start = 8996 - _NADROP._serialized_end = 9130 - _NAREPLACE._serialized_start = 9133 - _NAREPLACE._serialized_end = 9429 - _NAREPLACE_REPLACEMENT._serialized_start = 9288 - _NAREPLACE_REPLACEMENT._serialized_end = 9429 - _TODF._serialized_start = 9431 - _TODF._serialized_end = 9519 - _WITHCOLUMNSRENAMED._serialized_start = 9522 - _WITHCOLUMNSRENAMED._serialized_end = 9761 - _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 9694 - _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 9761 - _WITHCOLUMNS._serialized_start = 9763 - _WITHCOLUMNS._serialized_end = 9882 - _WITHWATERMARK._serialized_start = 9885 - _WITHWATERMARK._serialized_end = 10019 - _HINT._serialized_start = 10022 - _HINT._serialized_end = 10154 - _UNPIVOT._serialized_start = 10157 - _UNPIVOT._serialized_end = 10484 - _UNPIVOT_VALUES._serialized_start = 10414 - _UNPIVOT_VALUES._serialized_end = 10473 - _TOSCHEMA._serialized_start = 10486 - _TOSCHEMA._serialized_end = 10592 - _REPARTITIONBYEXPRESSION._serialized_start = 10595 - _REPARTITIONBYEXPRESSION._serialized_end = 10798 - _MAPPARTITIONS._serialized_start = 10801 - _MAPPARTITIONS._serialized_end = 10982 - _GROUPMAP._serialized_start = 10985 - _GROUPMAP._serialized_end = 11264 - _COGROUPMAP._serialized_start = 11267 - _COGROUPMAP._serialized_end = 11793 - _APPLYINPANDASWITHSTATE._serialized_start = 11796 - _APPLYINPANDASWITHSTATE._serialized_end = 12153 - _COLLECTMETRICS._serialized_start = 12156 - _COLLECTMETRICS._serialized_end = 12292 - _PARSE._serialized_start = 12295 - _PARSE._serialized_end = 12683 - _PARSE_OPTIONSENTRY._serialized_start = 3687 - _PARSE_OPTIONSENTRY._serialized_end = 3745 - _PARSE_PARSEFORMAT._serialized_start = 12584 - _PARSE_PARSEFORMAT._serialized_end = 12672 + _RELATION._serialized_end = 3189 + _UNKNOWN._serialized_start = 3191 + _UNKNOWN._serialized_end = 3200 + _RELATIONCOMMON._serialized_start = 3202 + _RELATIONCOMMON._serialized_end = 3293 + _SQL._serialized_start = 3296 + _SQL._serialized_end = 3465 + _SQL_ARGSENTRY._serialized_start = 3375 + _SQL_ARGSENTRY._serialized_end = 3465 + _READ._serialized_start = 3468 + _READ._serialized_end = 4131 + _READ_NAMEDTABLE._serialized_start = 3646 + _READ_NAMEDTABLE._serialized_end = 3838 + _READ_NAMEDTABLE_OPTIONSENTRY._serialized_start = 3780 + _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 3838 + _READ_DATASOURCE._serialized_start = 3841 + _READ_DATASOURCE._serialized_end = 4118 + _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3780 + _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 3838 + _PROJECT._serialized_start = 4133 + _PROJECT._serialized_end = 4250 + _FILTER._serialized_start = 4252 + _FILTER._serialized_end = 4364 + _JOIN._serialized_start = 4367 + _JOIN._serialized_end = 4838 + _JOIN_JOINTYPE._serialized_start = 4630 + _JOIN_JOINTYPE._serialized_end = 4838 + _SETOPERATION._serialized_start = 4841 + _SETOPERATION._serialized_end = 5320 + _SETOPERATION_SETOPTYPE._serialized_start = 5157 + _SETOPERATION_SETOPTYPE._serialized_end = 5271 + _LIMIT._serialized_start = 5322 + _LIMIT._serialized_end = 5398 + _OFFSET._serialized_start = 5400 + _OFFSET._serialized_end = 5479 + _TAIL._serialized_start = 5481 + _TAIL._serialized_end = 5556 + _AGGREGATE._serialized_start = 5559 + _AGGREGATE._serialized_end = 6141 + _AGGREGATE_PIVOT._serialized_start = 5898 + _AGGREGATE_PIVOT._serialized_end = 6009 + _AGGREGATE_GROUPTYPE._serialized_start = 6012 + _AGGREGATE_GROUPTYPE._serialized_end = 6141 + _SORT._serialized_start = 6144 + _SORT._serialized_end = 6304 + _DROP._serialized_start = 6307 + _DROP._serialized_end = 6448 + _DEDUPLICATE._serialized_start = 6451 + _DEDUPLICATE._serialized_end = 6691 + _LOCALRELATION._serialized_start = 6693 + _LOCALRELATION._serialized_end = 6782 + _CACHEDLOCALRELATION._serialized_start = 6784 + _CACHEDLOCALRELATION._serialized_end = 6879 + _CACHEDREMOTERELATION._serialized_start = 6881 + _CACHEDREMOTERELATION._serialized_end = 6989 + _SAMPLE._serialized_start = 6992 + _SAMPLE._serialized_end = 7265 + _RANGE._serialized_start = 7268 + _RANGE._serialized_end = 7413 + _SUBQUERYALIAS._serialized_start = 7415 + _SUBQUERYALIAS._serialized_end = 7529 + _REPARTITION._serialized_start = 7532 + _REPARTITION._serialized_end = 7674 + _SHOWSTRING._serialized_start = 7677 + _SHOWSTRING._serialized_end = 7819 + _HTMLSTRING._serialized_start = 7821 + _HTMLSTRING._serialized_end = 7935 + _STATSUMMARY._serialized_start = 7937 + _STATSUMMARY._serialized_end = 8029 + _STATDESCRIBE._serialized_start = 8031 + _STATDESCRIBE._serialized_end = 8112 + _STATCROSSTAB._serialized_start = 8114 + _STATCROSSTAB._serialized_end = 8215 + _STATCOV._serialized_start = 8217 + _STATCOV._serialized_end = 8313 + _STATCORR._serialized_start = 8316 + _STATCORR._serialized_end = 8453 + _STATAPPROXQUANTILE._serialized_start = 8456 + _STATAPPROXQUANTILE._serialized_end = 8620 + _STATFREQITEMS._serialized_start = 8622 + _STATFREQITEMS._serialized_end = 8747 + _STATSAMPLEBY._serialized_start = 8750 + _STATSAMPLEBY._serialized_end = 9059 + _STATSAMPLEBY_FRACTION._serialized_start = 8951 + _STATSAMPLEBY_FRACTION._serialized_end = 9050 + _NAFILL._serialized_start = 9062 + _NAFILL._serialized_end = 9196 + _NADROP._serialized_start = 9199 + _NADROP._serialized_end = 9333 + _NAREPLACE._serialized_start = 9336 + _NAREPLACE._serialized_end = 9632 + _NAREPLACE_REPLACEMENT._serialized_start = 9491 + _NAREPLACE_REPLACEMENT._serialized_end = 9632 + _TODF._serialized_start = 9634 + _TODF._serialized_end = 9722 + _WITHCOLUMNSRENAMED._serialized_start = 9725 + _WITHCOLUMNSRENAMED._serialized_end = 9964 + _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 9897 + _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 9964 + _WITHCOLUMNS._serialized_start = 9966 + _WITHCOLUMNS._serialized_end = 10085 + _WITHWATERMARK._serialized_start = 10088 + _WITHWATERMARK._serialized_end = 10222 + _HINT._serialized_start = 10225 + _HINT._serialized_end = 10357 + _UNPIVOT._serialized_start = 10360 + _UNPIVOT._serialized_end = 10687 + _UNPIVOT_VALUES._serialized_start = 10617 + _UNPIVOT_VALUES._serialized_end = 10676 + _TOSCHEMA._serialized_start = 10689 + _TOSCHEMA._serialized_end = 10795 + _REPARTITIONBYEXPRESSION._serialized_start = 10798 + _REPARTITIONBYEXPRESSION._serialized_end = 11001 + _MAPPARTITIONS._serialized_start = 11004 + _MAPPARTITIONS._serialized_end = 11185 + _GROUPMAP._serialized_start = 11188 + _GROUPMAP._serialized_end = 11467 + _COGROUPMAP._serialized_start = 11470 + _COGROUPMAP._serialized_end = 11996 + _APPLYINPANDASWITHSTATE._serialized_start = 11999 + _APPLYINPANDASWITHSTATE._serialized_end = 12356 + _COLLECTMETRICS._serialized_start = 12359 + _COLLECTMETRICS._serialized_end = 12495 + _PARSE._serialized_start = 12498 + _PARSE._serialized_end = 12886 + _PARSE_OPTIONSENTRY._serialized_start = 3780 + _PARSE_OPTIONSENTRY._serialized_end = 3838 + _PARSE_PARSEFORMAT._serialized_start = 12787 + _PARSE_PARSEFORMAT._serialized_end = 12875 # @@protoc_insertion_point(module_scope) diff --git a/python/pyspark/sql/connect/proto/relations_pb2.pyi b/python/pyspark/sql/connect/proto/relations_pb2.pyi index 69a4d6b9cccb..91251a1dc90d 100644 --- a/python/pyspark/sql/connect/proto/relations_pb2.pyi +++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi @@ -98,6 +98,7 @@ class Relation(google.protobuf.message.Message): APPLY_IN_PANDAS_WITH_STATE_FIELD_NUMBER: builtins.int HTML_STRING_FIELD_NUMBER: builtins.int CACHED_LOCAL_RELATION_FIELD_NUMBER: builtins.int + CACHED_REMOTE_RELATION_FIELD_NUMBER: builtins.int FILL_NA_FIELD_NUMBER: builtins.int DROP_NA_FIELD_NUMBER: builtins.int REPLACE_FIELD_NUMBER: builtins.int @@ -185,6 +186,8 @@ class Relation(google.protobuf.message.Message): @property def cached_local_relation(self) -> global___CachedLocalRelation: ... @property + def cached_remote_relation(self) -> global___CachedRemoteRelation: ... + @property def fill_na(self) -> global___NAFill: """NA functions""" @property @@ -257,6 +260,7 @@ class Relation(google.protobuf.message.Message): apply_in_pandas_with_state: global___ApplyInPandasWithState | None = ..., html_string: global___HtmlString | None = ..., cached_local_relation: global___CachedLocalRelation | None = ..., + cached_remote_relation: global___CachedRemoteRelation | None = ..., fill_na: global___NAFill | None = ..., drop_na: global___NADrop | None = ..., replace: global___NAReplace | None = ..., @@ -283,6 +287,8 @@ class Relation(google.protobuf.message.Message): b"approx_quantile", "cached_local_relation", b"cached_local_relation", + "cached_remote_relation", + b"cached_remote_relation", "catalog", b"catalog", "co_group_map", @@ -390,6 +396,8 @@ class Relation(google.protobuf.message.Message): b"approx_quantile", "cached_local_relation", b"cached_local_relation", + "cached_remote_relation", + b"cached_remote_relation", "catalog", b"catalog", "co_group_map", @@ -524,6 +532,7 @@ class Relation(google.protobuf.message.Message): "apply_in_pandas_with_state", "html_string", "cached_local_relation", + "cached_remote_relation", "fill_na", "drop_na", "replace", @@ -1593,6 +1602,36 @@ class CachedLocalRelation(google.protobuf.message.Message): global___CachedLocalRelation = CachedLocalRelation +class CachedRemoteRelation(google.protobuf.message.Message): + """Represents a remote relation that has been cached on server.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + USERID_FIELD_NUMBER: builtins.int + SESSIONID_FIELD_NUMBER: builtins.int + RELATIONID_FIELD_NUMBER: builtins.int + userId: builtins.str + """(Required) An identifier of the user which cached the relation""" + sessionId: builtins.str + """(Required) An identifier of the Spark session in which the relation is cached""" + relationId: builtins.str + """(Required) A key represents the id of the cached relation""" + def __init__( + self, + *, + userId: builtins.str = ..., + sessionId: builtins.str = ..., + relationId: builtins.str = ..., + ) -> None: ... + def ClearField( + self, + field_name: typing_extensions.Literal[ + "relationId", b"relationId", "sessionId", b"sessionId", "userId", b"userId" + ], + ) -> None: ... + +global___CachedRemoteRelation = CachedRemoteRelation + class Sample(google.protobuf.message.Message): """Relation of type [[Sample]] that samples a fraction of the dataset.""" diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py index ba0d8caaeca6..442155e82ecf 100644 --- a/python/pyspark/sql/connect/session.py +++ b/python/pyspark/sql/connect/session.py @@ -58,6 +58,7 @@ LogicalPlan, CachedLocalRelation, CachedRelation, + CachedRemoteRelation, ) from pyspark.sql.connect.readwriter import DataFrameReader from pyspark.sql.connect.streaming import DataStreamReader, StreamingQueryManager @@ -489,6 +490,11 @@ def createDataFrame( createDataFrame.__doc__ = PySparkSession.createDataFrame.__doc__ + def _createCachedDataFrame(self, relationId: str) -> "DataFrame": + """This function creates a DataFrame given a id. It expects that on the server side, the + actual DataFrame is cached with relationId as the key. This function is for internal use.""" + return DataFrame.withPlan(CachedRemoteRelation(relationId), self) + def sql(self, sqlQuery: str, args: Optional[Dict[str, Any]] = None) -> "DataFrame": cmd = SQL(sqlQuery, args) data, properties = self.client.execute_command(cmd.command(self._client)) From e0c711d5b94d3065d4d9b4c8bb3e2d8d1f1ad83a Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 13 Jun 2023 16:17:55 -0700 Subject: [PATCH 02/15] Change the cache key to session --- .../connect/planner/SparkConnectPlanner.scala | 7 +- .../SparkConnectCachedDataFrameManager.scala | 65 ++++++++++++++ .../connect/service/SparkConnectService.scala | 2 +- ...rkConnectCachedDataFrameManagerSuite.scala | 88 +++++++++++++++++++ 4 files changed, 158 insertions(+), 4 deletions(-) create mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala create mode 100644 connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManagerSuite.scala diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala index b3326165a888..6e7b59e44790 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala @@ -146,7 +146,7 @@ class SparkConnectPlanner(val session: SparkSession) extends Logging { case proto.Relation.RelTypeCase.APPLY_IN_PANDAS_WITH_STATE => transformApplyInPandasWithState(rel.getApplyInPandasWithState) case proto.Relation.RelTypeCase.CACHED_REMOTE_RELATION => - transformCachedRemoteRelation(rel.getCachedRemoteRelation) + transformCachedRemoteRelation(session, rel.getCachedRemoteRelation) case proto.Relation.RelTypeCase.COLLECT_METRICS => transformCollectMetrics(rel.getCollectMetrics) case proto.Relation.RelTypeCase.PARSE => transformParse(rel.getParse) @@ -790,9 +790,10 @@ class SparkConnectPlanner(val session: SparkSession) extends Logging { .logicalPlan } - private def transformCachedRemoteRelation(rel: proto.CachedRemoteRelation): LogicalPlan = { + private def transformCachedRemoteRelation(session: SparkSession, rel: proto.CachedRemoteRelation) + : LogicalPlan = { SparkConnectService.cachedDataFrameManager - .get(rel.getUserId, rel.getSessionId, rel.getRelationId) + .get(session, rel.getRelationId) .logicalPlan } diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala new file mode 100644 index 000000000000..22b06a9e63d2 --- /dev/null +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala @@ -0,0 +1,65 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.connect.service + +import javax.annotation.concurrent.GuardedBy + +import scala.collection.mutable + +import org.apache.spark.sql.DataFrame +import org.apache.spark.sql.SparkSession +import org.apache.spark.sql.connect.common.InvalidPlanInput + +/** + * This class caches DataFrame on the server side with given ids. The Spark Connect client can + * create a DataFrame reference with the id. When server transforms the DataFrame reference, it + * finds the DataFrame from the cache and replace the reference. + * + * Each session has a corresponding DataFrame map. A cached DataFrame can only be + * accessed from within the same session. The DataFrame will be removed from the + * cache by the owner (e.g. Streaming query) or when the session expires. + */ +private[sql] class SparkConnectCachedDataFrameManager { + + + // Session.sessionUUID -> Map[DF Reference ID -> DF] + @GuardedBy("this") + private val dataFrameCache = mutable.Map[String, mutable.Map[String, DataFrame]]() + + def put(session: SparkSession, dataFrameId: String, value: DataFrame): Unit = synchronized { + dataFrameCache + .getOrElseUpdate(session.sessionUUID, mutable.Map[String, DataFrame]()) + .put(dataFrameId, value) + } + + def get(session: SparkSession, dataFrameId: String): DataFrame = synchronized { + val sessionKey = session.sessionUUID + dataFrameCache + .get(sessionKey) + .flatMap(_.get(dataFrameId)) + .getOrElse { + throw InvalidPlanInput( + s"No DataFrame found in the server for id $dataFrameId in the session $sessionKey" + ) + } + } + + def remove(session: SparkSession): Unit = synchronized { + dataFrameCache.remove(session.sessionUUID) + } +} diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala index 67dd205f7446..665e42c0035a 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala @@ -306,7 +306,7 @@ object SparkConnectService { val SessionHolder(userId, sessionId, session) = notification.getValue val blockManager = session.sparkContext.env.blockManager blockManager.removeCache(userId, sessionId) - cachedDataFrameManager.remove(userId, sessionId) + cachedDataFrameManager.remove(session) } } diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManagerSuite.scala new file mode 100644 index 000000000000..87b4ee7b6d8e --- /dev/null +++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManagerSuite.scala @@ -0,0 +1,88 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.connect.service + +import org.apache.spark.sql.connect.common.InvalidPlanInput +import org.apache.spark.sql.test.SharedSparkSession + +class SparkConnectCachedDataFrameManagerSuite extends SharedSparkSession { + + test("Successful put and get") { + val spark = this.spark + import spark.implicits._ + + val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() + + val key1 = "key_1" + val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3")) + val df1 = data1.toDF() + cachedDataFrameManager.put(spark, key1, df1) + + val expectedDf1 = cachedDataFrameManager.get(spark, key1) + assert(expectedDf1 == df1) + + val key2 = "key_2" + val data2 = Seq(("k4", "v4"), ("k5", "v5")) + val df2 = data2.toDF() + cachedDataFrameManager.put(spark, key2, df2) + + val expectedDf2 = cachedDataFrameManager.get(spark, key2) + assert(expectedDf2 == df2) + } + + test("Get cache that does not exist should fail") { + val spark = this.spark + import spark.implicits._ + + val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() + + val key1 = "key_1" + + assertThrows[InvalidPlanInput] { + cachedDataFrameManager.get(spark, key1) + } + + val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3")) + val df1 = data1.toDF() + cachedDataFrameManager.put(spark, key1, df1) + cachedDataFrameManager.get(spark, key1) + + val key2 = "key_2" + assertThrows[InvalidPlanInput] { + cachedDataFrameManager.get(spark, key2) + } + } + + test("Remove cache and then get should fail") { + val spark = this.spark + import spark.implicits._ + + val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() + + val key1 = "key_1" + val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3")) + val df1 = data1.toDF() + cachedDataFrameManager.put(spark, key1, df1) + cachedDataFrameManager.get(spark, key1) + + cachedDataFrameManager.remove(spark) + assertThrows[InvalidPlanInput] { + cachedDataFrameManager.get(spark, key1) + } + } +} From 647ca67f87c31fe6a10e15e817881802946c7315 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 13 Jun 2023 18:45:05 -0700 Subject: [PATCH 03/15] remove unnused method --- python/pyspark/sql/connect/plan.py | 4 ---- python/pyspark/sql/connect/session.py | 6 ------ 2 files changed, 10 deletions(-) diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py index 9269987336c7..f14f73d5f416 100644 --- a/python/pyspark/sql/connect/plan.py +++ b/python/pyspark/sql/connect/plan.py @@ -562,10 +562,6 @@ def __init__(self, relationId: str): def plan(self, session: "SparkConnectClient") -> proto.Relation: plan = self._create_proto_relation() plan.cached_remote_relation.relationId = self._relationId - if session._user_id: - plan.cached_remote_relation.userId = session._user_id - plan.cached_remote_relation.sessionId = session._session_id - return plan diff --git a/python/pyspark/sql/connect/session.py b/python/pyspark/sql/connect/session.py index 442155e82ecf..ba0d8caaeca6 100644 --- a/python/pyspark/sql/connect/session.py +++ b/python/pyspark/sql/connect/session.py @@ -58,7 +58,6 @@ LogicalPlan, CachedLocalRelation, CachedRelation, - CachedRemoteRelation, ) from pyspark.sql.connect.readwriter import DataFrameReader from pyspark.sql.connect.streaming import DataStreamReader, StreamingQueryManager @@ -490,11 +489,6 @@ def createDataFrame( createDataFrame.__doc__ = PySparkSession.createDataFrame.__doc__ - def _createCachedDataFrame(self, relationId: str) -> "DataFrame": - """This function creates a DataFrame given a id. It expects that on the server side, the - actual DataFrame is cached with relationId as the key. This function is for internal use.""" - return DataFrame.withPlan(CachedRemoteRelation(relationId), self) - def sql(self, sqlQuery: str, args: Optional[Dict[str, Any]] = None) -> "DataFrame": cmd = SQL(sqlQuery, args) data, properties = self.client.execute_command(cmd.command(self._client)) From 1ca1f3afb257c772e5bd3da75e58b3456289846a Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 13 Jun 2023 21:13:17 -0700 Subject: [PATCH 04/15] scalfmt fix --- .../sql/connect/planner/SparkConnectPlanner.scala | 5 +++-- .../service/SparkConnectCachedDataFrameManager.scala | 12 +++++------- 2 files changed, 8 insertions(+), 9 deletions(-) diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala index 6e7b59e44790..4bc994cf8044 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala @@ -790,8 +790,9 @@ class SparkConnectPlanner(val session: SparkSession) extends Logging { .logicalPlan } - private def transformCachedRemoteRelation(session: SparkSession, rel: proto.CachedRemoteRelation) - : LogicalPlan = { + private def transformCachedRemoteRelation( + session: SparkSession, + rel: proto.CachedRemoteRelation): LogicalPlan = { SparkConnectService.cachedDataFrameManager .get(session, rel.getRelationId) .logicalPlan diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala index 22b06a9e63d2..1564d718c7e2 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala @@ -30,13 +30,12 @@ import org.apache.spark.sql.connect.common.InvalidPlanInput * create a DataFrame reference with the id. When server transforms the DataFrame reference, it * finds the DataFrame from the cache and replace the reference. * - * Each session has a corresponding DataFrame map. A cached DataFrame can only be - * accessed from within the same session. The DataFrame will be removed from the - * cache by the owner (e.g. Streaming query) or when the session expires. + * Each session has a corresponding DataFrame map. A cached DataFrame can only be accessed from + * within the same session. The DataFrame will be removed from the cache by the owner (e.g. + * Streaming query) or when the session expires. */ private[sql] class SparkConnectCachedDataFrameManager { - // Session.sessionUUID -> Map[DF Reference ID -> DF] @GuardedBy("this") private val dataFrameCache = mutable.Map[String, mutable.Map[String, DataFrame]]() @@ -53,9 +52,8 @@ private[sql] class SparkConnectCachedDataFrameManager { .get(sessionKey) .flatMap(_.get(dataFrameId)) .getOrElse { - throw InvalidPlanInput( - s"No DataFrame found in the server for id $dataFrameId in the session $sessionKey" - ) + throw InvalidPlanInput( + s"No DataFrame found in the server for id $dataFrameId in the session $sessionKey") } } From 5d25a32d8b5437c32da930ab1be9019ad0c215a8 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 13 Jun 2023 21:22:27 -0700 Subject: [PATCH 05/15] build python protobufs --- .../sql/connect/proto/relations_pb2.py | 148 +++++++++--------- .../sql/connect/proto/relations_pb2.pyi | 21 +-- 2 files changed, 79 insertions(+), 90 deletions(-) diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py index eea819267cc3..51e605446abc 100644 --- a/python/pyspark/sql/connect/proto/relations_pb2.py +++ b/python/pyspark/sql/connect/proto/relations_pb2.py @@ -36,7 +36,7 @@ DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile( - b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xd0\x17\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n \x01(\x0b\x32\x12.spark.connect.SQLH\x00R\x03sql\x12\x45\n\x0elocal_relation\x18\x0b \x01(\x0b\x32\x1c.spark.connect.LocalRelationH\x00R\rlocalRelation\x12/\n\x06sample\x18\x0c \x01(\x0b\x32\x15.spark.connect.SampleH\x00R\x06sample\x12/\n\x06offset\x18\r \x01(\x0b\x32\x15.spark.connect.OffsetH\x00R\x06offset\x12>\n\x0b\x64\x65\x64uplicate\x18\x0e \x01(\x0b\x32\x1a.spark.connect.DeduplicateH\x00R\x0b\x64\x65\x64uplicate\x12,\n\x05range\x18\x0f \x01(\x0b\x32\x14.spark.connect.RangeH\x00R\x05range\x12\x45\n\x0esubquery_alias\x18\x10 \x01(\x0b\x32\x1c.spark.connect.SubqueryAliasH\x00R\rsubqueryAlias\x12>\n\x0brepartition\x18\x11 \x01(\x0b\x32\x1a.spark.connect.RepartitionH\x00R\x0brepartition\x12*\n\x05to_df\x18\x12 \x01(\x0b\x32\x13.spark.connect.ToDFH\x00R\x04toDf\x12U\n\x14with_columns_renamed\x18\x13 \x01(\x0b\x32!.spark.connect.WithColumnsRenamedH\x00R\x12withColumnsRenamed\x12<\n\x0bshow_string\x18\x14 \x01(\x0b\x32\x19.spark.connect.ShowStringH\x00R\nshowString\x12)\n\x04\x64rop\x18\x15 \x01(\x0b\x32\x13.spark.connect.DropH\x00R\x04\x64rop\x12)\n\x04tail\x18\x16 \x01(\x0b\x32\x13.spark.connect.TailH\x00R\x04tail\x12?\n\x0cwith_columns\x18\x17 \x01(\x0b\x32\x1a.spark.connect.WithColumnsH\x00R\x0bwithColumns\x12)\n\x04hint\x18\x18 \x01(\x0b\x32\x13.spark.connect.HintH\x00R\x04hint\x12\x32\n\x07unpivot\x18\x19 \x01(\x0b\x32\x16.spark.connect.UnpivotH\x00R\x07unpivot\x12\x36\n\tto_schema\x18\x1a \x01(\x0b\x32\x17.spark.connect.ToSchemaH\x00R\x08toSchema\x12\x64\n\x19repartition_by_expression\x18\x1b \x01(\x0b\x32&.spark.connect.RepartitionByExpressionH\x00R\x17repartitionByExpression\x12\x45\n\x0emap_partitions\x18\x1c \x01(\x0b\x32\x1c.spark.connect.MapPartitionsH\x00R\rmapPartitions\x12H\n\x0f\x63ollect_metrics\x18\x1d \x01(\x0b\x32\x1d.spark.connect.CollectMetricsH\x00R\x0e\x63ollectMetrics\x12,\n\x05parse\x18\x1e \x01(\x0b\x32\x14.spark.connect.ParseH\x00R\x05parse\x12\x36\n\tgroup_map\x18\x1f \x01(\x0b\x32\x17.spark.connect.GroupMapH\x00R\x08groupMap\x12=\n\x0c\x63o_group_map\x18 \x01(\x0b\x32\x19.spark.connect.CoGroupMapH\x00R\ncoGroupMap\x12\x45\n\x0ewith_watermark\x18! \x01(\x0b\x32\x1c.spark.connect.WithWatermarkH\x00R\rwithWatermark\x12\x63\n\x1a\x61pply_in_pandas_with_state\x18" \x01(\x0b\x32%.spark.connect.ApplyInPandasWithStateH\x00R\x16\x61pplyInPandasWithState\x12<\n\x0bhtml_string\x18# \x01(\x0b\x32\x19.spark.connect.HtmlStringH\x00R\nhtmlString\x12X\n\x15\x63\x61\x63hed_local_relation\x18$ \x01(\x0b\x32".spark.connect.CachedLocalRelationH\x00R\x13\x63\x61\x63hedLocalRelation\x12[\n\x16\x63\x61\x63hed_remote_relation\x18% \x01(\x0b\x32#.spark.connect.CachedRemoteRelationH\x00R\x14\x63\x61\x63hedRemoteRelation\x12\x30\n\x07\x66ill_na\x18Z \x01(\x0b\x32\x15.spark.connect.NAFillH\x00R\x06\x66illNa\x12\x30\n\x07\x64rop_na\x18[ \x01(\x0b\x32\x15.spark.connect.NADropH\x00R\x06\x64ropNa\x12\x34\n\x07replace\x18\\ \x01(\x0b\x32\x18.spark.connect.NAReplaceH\x00R\x07replace\x12\x36\n\x07summary\x18\x64 \x01(\x0b\x32\x1a.spark.connect.StatSummaryH\x00R\x07summary\x12\x39\n\x08\x63rosstab\x18\x65 \x01(\x0b\x32\x1b.spark.connect.StatCrosstabH\x00R\x08\x63rosstab\x12\x39\n\x08\x64\x65scribe\x18\x66 \x01(\x0b\x32\x1b.spark.connect.StatDescribeH\x00R\x08\x64\x65scribe\x12*\n\x03\x63ov\x18g \x01(\x0b\x32\x16.spark.connect.StatCovH\x00R\x03\x63ov\x12-\n\x04\x63orr\x18h \x01(\x0b\x32\x17.spark.connect.StatCorrH\x00R\x04\x63orr\x12L\n\x0f\x61pprox_quantile\x18i \x01(\x0b\x32!.spark.connect.StatApproxQuantileH\x00R\x0e\x61pproxQuantile\x12=\n\nfreq_items\x18j \x01(\x0b\x32\x1c.spark.connect.StatFreqItemsH\x00R\tfreqItems\x12:\n\tsample_by\x18k \x01(\x0b\x32\x1b.spark.connect.StatSampleByH\x00R\x08sampleBy\x12\x33\n\x07\x63\x61talog\x18\xc8\x01 \x01(\x0b\x32\x16.spark.connect.CatalogH\x00R\x07\x63\x61talog\x12\x35\n\textension\x18\xe6\x07 \x01(\x0b\x32\x14.google.protobuf.AnyH\x00R\textension\x12\x33\n\x07unknown\x18\xe7\x07 \x01(\x0b\x32\x16.spark.connect.UnknownH\x00R\x07unknownB\n\n\x08rel_type"\t\n\x07Unknown"[\n\x0eRelationCommon\x12\x1f\n\x0bsource_info\x18\x01 \x01(\tR\nsourceInfo\x12\x1c\n\x07plan_id\x18\x02 \x01(\x03H\x00R\x06planId\x88\x01\x01\x42\n\n\x08_plan_id"\xa9\x01\n\x03SQL\x12\x14\n\x05query\x18\x01 \x01(\tR\x05query\x12\x30\n\x04\x61rgs\x18\x02 \x03(\x0b\x32\x1c.spark.connect.SQL.ArgsEntryR\x04\x61rgs\x1aZ\n\tArgsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x37\n\x05value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x05value:\x02\x38\x01"\x97\x05\n\x04Read\x12\x41\n\x0bnamed_table\x18\x01 \x01(\x0b\x32\x1e.spark.connect.Read.NamedTableH\x00R\nnamedTable\x12\x41\n\x0b\x64\x61ta_source\x18\x02 \x01(\x0b\x32\x1e.spark.connect.Read.DataSourceH\x00R\ndataSource\x12!\n\x0cis_streaming\x18\x03 \x01(\x08R\x0bisStreaming\x1a\xc0\x01\n\nNamedTable\x12/\n\x13unparsed_identifier\x18\x01 \x01(\tR\x12unparsedIdentifier\x12\x45\n\x07options\x18\x02 \x03(\x0b\x32+.spark.connect.Read.NamedTable.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x1a\x95\x02\n\nDataSource\x12\x1b\n\x06\x66ormat\x18\x01 \x01(\tH\x00R\x06\x66ormat\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x12\x45\n\x07options\x18\x03 \x03(\x0b\x32+.spark.connect.Read.DataSource.OptionsEntryR\x07options\x12\x14\n\x05paths\x18\x04 \x03(\tR\x05paths\x12\x1e\n\npredicates\x18\x05 \x03(\tR\npredicates\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x42\t\n\x07_formatB\t\n\x07_schemaB\x0b\n\tread_type"u\n\x07Project\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12;\n\x0b\x65xpressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0b\x65xpressions"p\n\x06\x46ilter\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x37\n\tcondition\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\tcondition"\xd7\x03\n\x04Join\x12+\n\x04left\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x04left\x12-\n\x05right\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\x05right\x12@\n\x0ejoin_condition\x18\x03 \x01(\x0b\x32\x19.spark.connect.ExpressionR\rjoinCondition\x12\x39\n\tjoin_type\x18\x04 \x01(\x0e\x32\x1c.spark.connect.Join.JoinTypeR\x08joinType\x12#\n\rusing_columns\x18\x05 \x03(\tR\x0cusingColumns"\xd0\x01\n\x08JoinType\x12\x19\n\x15JOIN_TYPE_UNSPECIFIED\x10\x00\x12\x13\n\x0fJOIN_TYPE_INNER\x10\x01\x12\x18\n\x14JOIN_TYPE_FULL_OUTER\x10\x02\x12\x18\n\x14JOIN_TYPE_LEFT_OUTER\x10\x03\x12\x19\n\x15JOIN_TYPE_RIGHT_OUTER\x10\x04\x12\x17\n\x13JOIN_TYPE_LEFT_ANTI\x10\x05\x12\x17\n\x13JOIN_TYPE_LEFT_SEMI\x10\x06\x12\x13\n\x0fJOIN_TYPE_CROSS\x10\x07"\xdf\x03\n\x0cSetOperation\x12\x36\n\nleft_input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\tleftInput\x12\x38\n\x0bright_input\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\nrightInput\x12\x45\n\x0bset_op_type\x18\x03 \x01(\x0e\x32%.spark.connect.SetOperation.SetOpTypeR\tsetOpType\x12\x1a\n\x06is_all\x18\x04 \x01(\x08H\x00R\x05isAll\x88\x01\x01\x12\x1c\n\x07\x62y_name\x18\x05 \x01(\x08H\x01R\x06\x62yName\x88\x01\x01\x12\x37\n\x15\x61llow_missing_columns\x18\x06 \x01(\x08H\x02R\x13\x61llowMissingColumns\x88\x01\x01"r\n\tSetOpType\x12\x1b\n\x17SET_OP_TYPE_UNSPECIFIED\x10\x00\x12\x19\n\x15SET_OP_TYPE_INTERSECT\x10\x01\x12\x15\n\x11SET_OP_TYPE_UNION\x10\x02\x12\x16\n\x12SET_OP_TYPE_EXCEPT\x10\x03\x42\t\n\x07_is_allB\n\n\x08_by_nameB\x18\n\x16_allow_missing_columns"L\n\x05Limit\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"O\n\x06Offset\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x16\n\x06offset\x18\x02 \x01(\x05R\x06offset"K\n\x04Tail\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"\xc6\x04\n\tAggregate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x41\n\ngroup_type\x18\x02 \x01(\x0e\x32".spark.connect.Aggregate.GroupTypeR\tgroupType\x12L\n\x14grouping_expressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12N\n\x15\x61ggregate_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x14\x61ggregateExpressions\x12\x34\n\x05pivot\x18\x05 \x01(\x0b\x32\x1e.spark.connect.Aggregate.PivotR\x05pivot\x1ao\n\x05Pivot\x12+\n\x03\x63ol\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x39\n\x06values\x18\x02 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x81\x01\n\tGroupType\x12\x1a\n\x16GROUP_TYPE_UNSPECIFIED\x10\x00\x12\x16\n\x12GROUP_TYPE_GROUPBY\x10\x01\x12\x15\n\x11GROUP_TYPE_ROLLUP\x10\x02\x12\x13\n\x0fGROUP_TYPE_CUBE\x10\x03\x12\x14\n\x10GROUP_TYPE_PIVOT\x10\x04"\xa0\x01\n\x04Sort\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x05order\x18\x02 \x03(\x0b\x32#.spark.connect.Expression.SortOrderR\x05order\x12 \n\tis_global\x18\x03 \x01(\x08H\x00R\x08isGlobal\x88\x01\x01\x42\x0c\n\n_is_global"\x8d\x01\n\x04\x44rop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x33\n\x07\x63olumns\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07\x63olumns\x12!\n\x0c\x63olumn_names\x18\x03 \x03(\tR\x0b\x63olumnNames"\xf0\x01\n\x0b\x44\x65\x64uplicate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames\x12\x32\n\x13\x61ll_columns_as_keys\x18\x03 \x01(\x08H\x00R\x10\x61llColumnsAsKeys\x88\x01\x01\x12.\n\x10within_watermark\x18\x04 \x01(\x08H\x01R\x0fwithinWatermark\x88\x01\x01\x42\x16\n\x14_all_columns_as_keysB\x13\n\x11_within_watermark"Y\n\rLocalRelation\x12\x17\n\x04\x64\x61ta\x18\x01 \x01(\x0cH\x00R\x04\x64\x61ta\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x42\x07\n\x05_dataB\t\n\x07_schema"_\n\x13\x43\x61\x63hedLocalRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x12\n\x04hash\x18\x03 \x01(\tR\x04hash"l\n\x14\x43\x61\x63hedRemoteRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x1e\n\nrelationId\x18\x03 \x01(\tR\nrelationId"\x91\x02\n\x06Sample\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1f\n\x0blower_bound\x18\x02 \x01(\x01R\nlowerBound\x12\x1f\n\x0bupper_bound\x18\x03 \x01(\x01R\nupperBound\x12.\n\x10with_replacement\x18\x04 \x01(\x08H\x00R\x0fwithReplacement\x88\x01\x01\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x01R\x04seed\x88\x01\x01\x12/\n\x13\x64\x65terministic_order\x18\x06 \x01(\x08R\x12\x64\x65terministicOrderB\x13\n\x11_with_replacementB\x07\n\x05_seed"\x91\x01\n\x05Range\x12\x19\n\x05start\x18\x01 \x01(\x03H\x00R\x05start\x88\x01\x01\x12\x10\n\x03\x65nd\x18\x02 \x01(\x03R\x03\x65nd\x12\x12\n\x04step\x18\x03 \x01(\x03R\x04step\x12*\n\x0enum_partitions\x18\x04 \x01(\x05H\x01R\rnumPartitions\x88\x01\x01\x42\x08\n\x06_startB\x11\n\x0f_num_partitions"r\n\rSubqueryAlias\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05\x61lias\x18\x02 \x01(\tR\x05\x61lias\x12\x1c\n\tqualifier\x18\x03 \x03(\tR\tqualifier"\x8e\x01\n\x0bRepartition\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12%\n\x0enum_partitions\x18\x02 \x01(\x05R\rnumPartitions\x12\x1d\n\x07shuffle\x18\x03 \x01(\x08H\x00R\x07shuffle\x88\x01\x01\x42\n\n\x08_shuffle"\x8e\x01\n\nShowString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate\x12\x1a\n\x08vertical\x18\x04 \x01(\x08R\x08vertical"r\n\nHtmlString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate"\\\n\x0bStatSummary\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1e\n\nstatistics\x18\x02 \x03(\tR\nstatistics"Q\n\x0cStatDescribe\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols"e\n\x0cStatCrosstab\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"`\n\x07StatCov\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"\x89\x01\n\x08StatCorr\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2\x12\x1b\n\x06method\x18\x04 \x01(\tH\x00R\x06method\x88\x01\x01\x42\t\n\x07_method"\xa4\x01\n\x12StatApproxQuantile\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12$\n\rprobabilities\x18\x03 \x03(\x01R\rprobabilities\x12%\n\x0erelative_error\x18\x04 \x01(\x01R\rrelativeError"}\n\rStatFreqItems\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x1d\n\x07support\x18\x03 \x01(\x01H\x00R\x07support\x88\x01\x01\x42\n\n\x08_support"\xb5\x02\n\x0cStatSampleBy\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03\x63ol\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x42\n\tfractions\x18\x03 \x03(\x0b\x32$.spark.connect.StatSampleBy.FractionR\tfractions\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x00R\x04seed\x88\x01\x01\x1a\x63\n\x08\x46raction\x12;\n\x07stratum\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x07stratum\x12\x1a\n\x08\x66raction\x18\x02 \x01(\x01R\x08\x66ractionB\x07\n\x05_seed"\x86\x01\n\x06NAFill\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x39\n\x06values\x18\x03 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x86\x01\n\x06NADrop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\'\n\rmin_non_nulls\x18\x03 \x01(\x05H\x00R\x0bminNonNulls\x88\x01\x01\x42\x10\n\x0e_min_non_nulls"\xa8\x02\n\tNAReplace\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12H\n\x0creplacements\x18\x03 \x03(\x0b\x32$.spark.connect.NAReplace.ReplacementR\x0creplacements\x1a\x8d\x01\n\x0bReplacement\x12>\n\told_value\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08oldValue\x12>\n\tnew_value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08newValue"X\n\x04ToDF\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames"\xef\x01\n\x12WithColumnsRenamed\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x65\n\x12rename_columns_map\x18\x02 \x03(\x0b\x32\x37.spark.connect.WithColumnsRenamed.RenameColumnsMapEntryR\x10renameColumnsMap\x1a\x43\n\x15RenameColumnsMapEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"w\n\x0bWithColumns\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x07\x61liases\x18\x02 \x03(\x0b\x32\x1f.spark.connect.Expression.AliasR\x07\x61liases"\x86\x01\n\rWithWatermark\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1d\n\nevent_time\x18\x02 \x01(\tR\teventTime\x12\'\n\x0f\x64\x65lay_threshold\x18\x03 \x01(\tR\x0e\x64\x65layThreshold"\x84\x01\n\x04Hint\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x39\n\nparameters\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\nparameters"\xc7\x02\n\x07Unpivot\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03ids\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x03ids\x12:\n\x06values\x18\x03 \x01(\x0b\x32\x1d.spark.connect.Unpivot.ValuesH\x00R\x06values\x88\x01\x01\x12\x30\n\x14variable_column_name\x18\x04 \x01(\tR\x12variableColumnName\x12*\n\x11value_column_name\x18\x05 \x01(\tR\x0fvalueColumnName\x1a;\n\x06Values\x12\x31\n\x06values\x18\x01 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x06valuesB\t\n\x07_values"j\n\x08ToSchema\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12/\n\x06schema\x18\x02 \x01(\x0b\x32\x17.spark.connect.DataTypeR\x06schema"\xcb\x01\n\x17RepartitionByExpression\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x0fpartition_exprs\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0epartitionExprs\x12*\n\x0enum_partitions\x18\x03 \x01(\x05H\x00R\rnumPartitions\x88\x01\x01\x42\x11\n\x0f_num_partitions"\xb5\x01\n\rMapPartitions\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x04\x66unc\x18\x02 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12"\n\nis_barrier\x18\x03 \x01(\x08H\x00R\tisBarrier\x88\x01\x01\x42\r\n\x0b_is_barrier"\x97\x02\n\x08GroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12J\n\x13sorting_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x12sortingExpressions"\x8e\x04\n\nCoGroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12W\n\x1ainput_grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18inputGroupingExpressions\x12-\n\x05other\x18\x03 \x01(\x0b\x32\x17.spark.connect.RelationR\x05other\x12W\n\x1aother_grouping_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18otherGroupingExpressions\x12\x42\n\x04\x66unc\x18\x05 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12U\n\x19input_sorting_expressions\x18\x06 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17inputSortingExpressions\x12U\n\x19other_sorting_expressions\x18\x07 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17otherSortingExpressions"\xe5\x02\n\x16\x41pplyInPandasWithState\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12#\n\routput_schema\x18\x04 \x01(\tR\x0coutputSchema\x12!\n\x0cstate_schema\x18\x05 \x01(\tR\x0bstateSchema\x12\x1f\n\x0boutput_mode\x18\x06 \x01(\tR\noutputMode\x12!\n\x0ctimeout_conf\x18\x07 \x01(\tR\x0btimeoutConf"\x88\x01\n\x0e\x43ollectMetrics\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x33\n\x07metrics\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07metrics"\x84\x03\n\x05Parse\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x38\n\x06\x66ormat\x18\x02 \x01(\x0e\x32 .spark.connect.Parse.ParseFormatR\x06\x66ormat\x12\x34\n\x06schema\x18\x03 \x01(\x0b\x32\x17.spark.connect.DataTypeH\x00R\x06schema\x88\x01\x01\x12;\n\x07options\x18\x04 \x03(\x0b\x32!.spark.connect.Parse.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"X\n\x0bParseFormat\x12\x1c\n\x18PARSE_FORMAT_UNSPECIFIED\x10\x00\x12\x14\n\x10PARSE_FORMAT_CSV\x10\x01\x12\x15\n\x11PARSE_FORMAT_JSON\x10\x02\x42\t\n\x07_schemaB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3' + b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xd0\x17\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n \x01(\x0b\x32\x12.spark.connect.SQLH\x00R\x03sql\x12\x45\n\x0elocal_relation\x18\x0b \x01(\x0b\x32\x1c.spark.connect.LocalRelationH\x00R\rlocalRelation\x12/\n\x06sample\x18\x0c \x01(\x0b\x32\x15.spark.connect.SampleH\x00R\x06sample\x12/\n\x06offset\x18\r \x01(\x0b\x32\x15.spark.connect.OffsetH\x00R\x06offset\x12>\n\x0b\x64\x65\x64uplicate\x18\x0e \x01(\x0b\x32\x1a.spark.connect.DeduplicateH\x00R\x0b\x64\x65\x64uplicate\x12,\n\x05range\x18\x0f \x01(\x0b\x32\x14.spark.connect.RangeH\x00R\x05range\x12\x45\n\x0esubquery_alias\x18\x10 \x01(\x0b\x32\x1c.spark.connect.SubqueryAliasH\x00R\rsubqueryAlias\x12>\n\x0brepartition\x18\x11 \x01(\x0b\x32\x1a.spark.connect.RepartitionH\x00R\x0brepartition\x12*\n\x05to_df\x18\x12 \x01(\x0b\x32\x13.spark.connect.ToDFH\x00R\x04toDf\x12U\n\x14with_columns_renamed\x18\x13 \x01(\x0b\x32!.spark.connect.WithColumnsRenamedH\x00R\x12withColumnsRenamed\x12<\n\x0bshow_string\x18\x14 \x01(\x0b\x32\x19.spark.connect.ShowStringH\x00R\nshowString\x12)\n\x04\x64rop\x18\x15 \x01(\x0b\x32\x13.spark.connect.DropH\x00R\x04\x64rop\x12)\n\x04tail\x18\x16 \x01(\x0b\x32\x13.spark.connect.TailH\x00R\x04tail\x12?\n\x0cwith_columns\x18\x17 \x01(\x0b\x32\x1a.spark.connect.WithColumnsH\x00R\x0bwithColumns\x12)\n\x04hint\x18\x18 \x01(\x0b\x32\x13.spark.connect.HintH\x00R\x04hint\x12\x32\n\x07unpivot\x18\x19 \x01(\x0b\x32\x16.spark.connect.UnpivotH\x00R\x07unpivot\x12\x36\n\tto_schema\x18\x1a \x01(\x0b\x32\x17.spark.connect.ToSchemaH\x00R\x08toSchema\x12\x64\n\x19repartition_by_expression\x18\x1b \x01(\x0b\x32&.spark.connect.RepartitionByExpressionH\x00R\x17repartitionByExpression\x12\x45\n\x0emap_partitions\x18\x1c \x01(\x0b\x32\x1c.spark.connect.MapPartitionsH\x00R\rmapPartitions\x12H\n\x0f\x63ollect_metrics\x18\x1d \x01(\x0b\x32\x1d.spark.connect.CollectMetricsH\x00R\x0e\x63ollectMetrics\x12,\n\x05parse\x18\x1e \x01(\x0b\x32\x14.spark.connect.ParseH\x00R\x05parse\x12\x36\n\tgroup_map\x18\x1f \x01(\x0b\x32\x17.spark.connect.GroupMapH\x00R\x08groupMap\x12=\n\x0c\x63o_group_map\x18 \x01(\x0b\x32\x19.spark.connect.CoGroupMapH\x00R\ncoGroupMap\x12\x45\n\x0ewith_watermark\x18! \x01(\x0b\x32\x1c.spark.connect.WithWatermarkH\x00R\rwithWatermark\x12\x63\n\x1a\x61pply_in_pandas_with_state\x18" \x01(\x0b\x32%.spark.connect.ApplyInPandasWithStateH\x00R\x16\x61pplyInPandasWithState\x12<\n\x0bhtml_string\x18# \x01(\x0b\x32\x19.spark.connect.HtmlStringH\x00R\nhtmlString\x12X\n\x15\x63\x61\x63hed_local_relation\x18$ \x01(\x0b\x32".spark.connect.CachedLocalRelationH\x00R\x13\x63\x61\x63hedLocalRelation\x12[\n\x16\x63\x61\x63hed_remote_relation\x18% \x01(\x0b\x32#.spark.connect.CachedRemoteRelationH\x00R\x14\x63\x61\x63hedRemoteRelation\x12\x30\n\x07\x66ill_na\x18Z \x01(\x0b\x32\x15.spark.connect.NAFillH\x00R\x06\x66illNa\x12\x30\n\x07\x64rop_na\x18[ \x01(\x0b\x32\x15.spark.connect.NADropH\x00R\x06\x64ropNa\x12\x34\n\x07replace\x18\\ \x01(\x0b\x32\x18.spark.connect.NAReplaceH\x00R\x07replace\x12\x36\n\x07summary\x18\x64 \x01(\x0b\x32\x1a.spark.connect.StatSummaryH\x00R\x07summary\x12\x39\n\x08\x63rosstab\x18\x65 \x01(\x0b\x32\x1b.spark.connect.StatCrosstabH\x00R\x08\x63rosstab\x12\x39\n\x08\x64\x65scribe\x18\x66 \x01(\x0b\x32\x1b.spark.connect.StatDescribeH\x00R\x08\x64\x65scribe\x12*\n\x03\x63ov\x18g \x01(\x0b\x32\x16.spark.connect.StatCovH\x00R\x03\x63ov\x12-\n\x04\x63orr\x18h \x01(\x0b\x32\x17.spark.connect.StatCorrH\x00R\x04\x63orr\x12L\n\x0f\x61pprox_quantile\x18i \x01(\x0b\x32!.spark.connect.StatApproxQuantileH\x00R\x0e\x61pproxQuantile\x12=\n\nfreq_items\x18j \x01(\x0b\x32\x1c.spark.connect.StatFreqItemsH\x00R\tfreqItems\x12:\n\tsample_by\x18k \x01(\x0b\x32\x1b.spark.connect.StatSampleByH\x00R\x08sampleBy\x12\x33\n\x07\x63\x61talog\x18\xc8\x01 \x01(\x0b\x32\x16.spark.connect.CatalogH\x00R\x07\x63\x61talog\x12\x35\n\textension\x18\xe6\x07 \x01(\x0b\x32\x14.google.protobuf.AnyH\x00R\textension\x12\x33\n\x07unknown\x18\xe7\x07 \x01(\x0b\x32\x16.spark.connect.UnknownH\x00R\x07unknownB\n\n\x08rel_type"\t\n\x07Unknown"[\n\x0eRelationCommon\x12\x1f\n\x0bsource_info\x18\x01 \x01(\tR\nsourceInfo\x12\x1c\n\x07plan_id\x18\x02 \x01(\x03H\x00R\x06planId\x88\x01\x01\x42\n\n\x08_plan_id"\xa9\x01\n\x03SQL\x12\x14\n\x05query\x18\x01 \x01(\tR\x05query\x12\x30\n\x04\x61rgs\x18\x02 \x03(\x0b\x32\x1c.spark.connect.SQL.ArgsEntryR\x04\x61rgs\x1aZ\n\tArgsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x37\n\x05value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x05value:\x02\x38\x01"\x97\x05\n\x04Read\x12\x41\n\x0bnamed_table\x18\x01 \x01(\x0b\x32\x1e.spark.connect.Read.NamedTableH\x00R\nnamedTable\x12\x41\n\x0b\x64\x61ta_source\x18\x02 \x01(\x0b\x32\x1e.spark.connect.Read.DataSourceH\x00R\ndataSource\x12!\n\x0cis_streaming\x18\x03 \x01(\x08R\x0bisStreaming\x1a\xc0\x01\n\nNamedTable\x12/\n\x13unparsed_identifier\x18\x01 \x01(\tR\x12unparsedIdentifier\x12\x45\n\x07options\x18\x02 \x03(\x0b\x32+.spark.connect.Read.NamedTable.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x1a\x95\x02\n\nDataSource\x12\x1b\n\x06\x66ormat\x18\x01 \x01(\tH\x00R\x06\x66ormat\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x12\x45\n\x07options\x18\x03 \x03(\x0b\x32+.spark.connect.Read.DataSource.OptionsEntryR\x07options\x12\x14\n\x05paths\x18\x04 \x03(\tR\x05paths\x12\x1e\n\npredicates\x18\x05 \x03(\tR\npredicates\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x42\t\n\x07_formatB\t\n\x07_schemaB\x0b\n\tread_type"u\n\x07Project\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12;\n\x0b\x65xpressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0b\x65xpressions"p\n\x06\x46ilter\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x37\n\tcondition\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\tcondition"\xd7\x03\n\x04Join\x12+\n\x04left\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x04left\x12-\n\x05right\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\x05right\x12@\n\x0ejoin_condition\x18\x03 \x01(\x0b\x32\x19.spark.connect.ExpressionR\rjoinCondition\x12\x39\n\tjoin_type\x18\x04 \x01(\x0e\x32\x1c.spark.connect.Join.JoinTypeR\x08joinType\x12#\n\rusing_columns\x18\x05 \x03(\tR\x0cusingColumns"\xd0\x01\n\x08JoinType\x12\x19\n\x15JOIN_TYPE_UNSPECIFIED\x10\x00\x12\x13\n\x0fJOIN_TYPE_INNER\x10\x01\x12\x18\n\x14JOIN_TYPE_FULL_OUTER\x10\x02\x12\x18\n\x14JOIN_TYPE_LEFT_OUTER\x10\x03\x12\x19\n\x15JOIN_TYPE_RIGHT_OUTER\x10\x04\x12\x17\n\x13JOIN_TYPE_LEFT_ANTI\x10\x05\x12\x17\n\x13JOIN_TYPE_LEFT_SEMI\x10\x06\x12\x13\n\x0fJOIN_TYPE_CROSS\x10\x07"\xdf\x03\n\x0cSetOperation\x12\x36\n\nleft_input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\tleftInput\x12\x38\n\x0bright_input\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\nrightInput\x12\x45\n\x0bset_op_type\x18\x03 \x01(\x0e\x32%.spark.connect.SetOperation.SetOpTypeR\tsetOpType\x12\x1a\n\x06is_all\x18\x04 \x01(\x08H\x00R\x05isAll\x88\x01\x01\x12\x1c\n\x07\x62y_name\x18\x05 \x01(\x08H\x01R\x06\x62yName\x88\x01\x01\x12\x37\n\x15\x61llow_missing_columns\x18\x06 \x01(\x08H\x02R\x13\x61llowMissingColumns\x88\x01\x01"r\n\tSetOpType\x12\x1b\n\x17SET_OP_TYPE_UNSPECIFIED\x10\x00\x12\x19\n\x15SET_OP_TYPE_INTERSECT\x10\x01\x12\x15\n\x11SET_OP_TYPE_UNION\x10\x02\x12\x16\n\x12SET_OP_TYPE_EXCEPT\x10\x03\x42\t\n\x07_is_allB\n\n\x08_by_nameB\x18\n\x16_allow_missing_columns"L\n\x05Limit\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"O\n\x06Offset\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x16\n\x06offset\x18\x02 \x01(\x05R\x06offset"K\n\x04Tail\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"\xc6\x04\n\tAggregate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x41\n\ngroup_type\x18\x02 \x01(\x0e\x32".spark.connect.Aggregate.GroupTypeR\tgroupType\x12L\n\x14grouping_expressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12N\n\x15\x61ggregate_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x14\x61ggregateExpressions\x12\x34\n\x05pivot\x18\x05 \x01(\x0b\x32\x1e.spark.connect.Aggregate.PivotR\x05pivot\x1ao\n\x05Pivot\x12+\n\x03\x63ol\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x39\n\x06values\x18\x02 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x81\x01\n\tGroupType\x12\x1a\n\x16GROUP_TYPE_UNSPECIFIED\x10\x00\x12\x16\n\x12GROUP_TYPE_GROUPBY\x10\x01\x12\x15\n\x11GROUP_TYPE_ROLLUP\x10\x02\x12\x13\n\x0fGROUP_TYPE_CUBE\x10\x03\x12\x14\n\x10GROUP_TYPE_PIVOT\x10\x04"\xa0\x01\n\x04Sort\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x05order\x18\x02 \x03(\x0b\x32#.spark.connect.Expression.SortOrderR\x05order\x12 \n\tis_global\x18\x03 \x01(\x08H\x00R\x08isGlobal\x88\x01\x01\x42\x0c\n\n_is_global"\x8d\x01\n\x04\x44rop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x33\n\x07\x63olumns\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07\x63olumns\x12!\n\x0c\x63olumn_names\x18\x03 \x03(\tR\x0b\x63olumnNames"\xf0\x01\n\x0b\x44\x65\x64uplicate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames\x12\x32\n\x13\x61ll_columns_as_keys\x18\x03 \x01(\x08H\x00R\x10\x61llColumnsAsKeys\x88\x01\x01\x12.\n\x10within_watermark\x18\x04 \x01(\x08H\x01R\x0fwithinWatermark\x88\x01\x01\x42\x16\n\x14_all_columns_as_keysB\x13\n\x11_within_watermark"Y\n\rLocalRelation\x12\x17\n\x04\x64\x61ta\x18\x01 \x01(\x0cH\x00R\x04\x64\x61ta\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x42\x07\n\x05_dataB\t\n\x07_schema"_\n\x13\x43\x61\x63hedLocalRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x12\n\x04hash\x18\x03 \x01(\tR\x04hash"7\n\x14\x43\x61\x63hedRemoteRelation\x12\x1f\n\x0brelation_id\x18\x03 \x01(\tR\nrelationId"\x91\x02\n\x06Sample\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1f\n\x0blower_bound\x18\x02 \x01(\x01R\nlowerBound\x12\x1f\n\x0bupper_bound\x18\x03 \x01(\x01R\nupperBound\x12.\n\x10with_replacement\x18\x04 \x01(\x08H\x00R\x0fwithReplacement\x88\x01\x01\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x01R\x04seed\x88\x01\x01\x12/\n\x13\x64\x65terministic_order\x18\x06 \x01(\x08R\x12\x64\x65terministicOrderB\x13\n\x11_with_replacementB\x07\n\x05_seed"\x91\x01\n\x05Range\x12\x19\n\x05start\x18\x01 \x01(\x03H\x00R\x05start\x88\x01\x01\x12\x10\n\x03\x65nd\x18\x02 \x01(\x03R\x03\x65nd\x12\x12\n\x04step\x18\x03 \x01(\x03R\x04step\x12*\n\x0enum_partitions\x18\x04 \x01(\x05H\x01R\rnumPartitions\x88\x01\x01\x42\x08\n\x06_startB\x11\n\x0f_num_partitions"r\n\rSubqueryAlias\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05\x61lias\x18\x02 \x01(\tR\x05\x61lias\x12\x1c\n\tqualifier\x18\x03 \x03(\tR\tqualifier"\x8e\x01\n\x0bRepartition\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12%\n\x0enum_partitions\x18\x02 \x01(\x05R\rnumPartitions\x12\x1d\n\x07shuffle\x18\x03 \x01(\x08H\x00R\x07shuffle\x88\x01\x01\x42\n\n\x08_shuffle"\x8e\x01\n\nShowString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate\x12\x1a\n\x08vertical\x18\x04 \x01(\x08R\x08vertical"r\n\nHtmlString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate"\\\n\x0bStatSummary\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1e\n\nstatistics\x18\x02 \x03(\tR\nstatistics"Q\n\x0cStatDescribe\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols"e\n\x0cStatCrosstab\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"`\n\x07StatCov\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"\x89\x01\n\x08StatCorr\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2\x12\x1b\n\x06method\x18\x04 \x01(\tH\x00R\x06method\x88\x01\x01\x42\t\n\x07_method"\xa4\x01\n\x12StatApproxQuantile\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12$\n\rprobabilities\x18\x03 \x03(\x01R\rprobabilities\x12%\n\x0erelative_error\x18\x04 \x01(\x01R\rrelativeError"}\n\rStatFreqItems\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x1d\n\x07support\x18\x03 \x01(\x01H\x00R\x07support\x88\x01\x01\x42\n\n\x08_support"\xb5\x02\n\x0cStatSampleBy\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03\x63ol\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x42\n\tfractions\x18\x03 \x03(\x0b\x32$.spark.connect.StatSampleBy.FractionR\tfractions\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x00R\x04seed\x88\x01\x01\x1a\x63\n\x08\x46raction\x12;\n\x07stratum\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x07stratum\x12\x1a\n\x08\x66raction\x18\x02 \x01(\x01R\x08\x66ractionB\x07\n\x05_seed"\x86\x01\n\x06NAFill\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x39\n\x06values\x18\x03 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x86\x01\n\x06NADrop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\'\n\rmin_non_nulls\x18\x03 \x01(\x05H\x00R\x0bminNonNulls\x88\x01\x01\x42\x10\n\x0e_min_non_nulls"\xa8\x02\n\tNAReplace\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12H\n\x0creplacements\x18\x03 \x03(\x0b\x32$.spark.connect.NAReplace.ReplacementR\x0creplacements\x1a\x8d\x01\n\x0bReplacement\x12>\n\told_value\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08oldValue\x12>\n\tnew_value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08newValue"X\n\x04ToDF\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames"\xef\x01\n\x12WithColumnsRenamed\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x65\n\x12rename_columns_map\x18\x02 \x03(\x0b\x32\x37.spark.connect.WithColumnsRenamed.RenameColumnsMapEntryR\x10renameColumnsMap\x1a\x43\n\x15RenameColumnsMapEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"w\n\x0bWithColumns\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x07\x61liases\x18\x02 \x03(\x0b\x32\x1f.spark.connect.Expression.AliasR\x07\x61liases"\x86\x01\n\rWithWatermark\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1d\n\nevent_time\x18\x02 \x01(\tR\teventTime\x12\'\n\x0f\x64\x65lay_threshold\x18\x03 \x01(\tR\x0e\x64\x65layThreshold"\x84\x01\n\x04Hint\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x39\n\nparameters\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\nparameters"\xc7\x02\n\x07Unpivot\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03ids\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x03ids\x12:\n\x06values\x18\x03 \x01(\x0b\x32\x1d.spark.connect.Unpivot.ValuesH\x00R\x06values\x88\x01\x01\x12\x30\n\x14variable_column_name\x18\x04 \x01(\tR\x12variableColumnName\x12*\n\x11value_column_name\x18\x05 \x01(\tR\x0fvalueColumnName\x1a;\n\x06Values\x12\x31\n\x06values\x18\x01 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x06valuesB\t\n\x07_values"j\n\x08ToSchema\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12/\n\x06schema\x18\x02 \x01(\x0b\x32\x17.spark.connect.DataTypeR\x06schema"\xcb\x01\n\x17RepartitionByExpression\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x0fpartition_exprs\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0epartitionExprs\x12*\n\x0enum_partitions\x18\x03 \x01(\x05H\x00R\rnumPartitions\x88\x01\x01\x42\x11\n\x0f_num_partitions"\xb5\x01\n\rMapPartitions\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x04\x66unc\x18\x02 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12"\n\nis_barrier\x18\x03 \x01(\x08H\x00R\tisBarrier\x88\x01\x01\x42\r\n\x0b_is_barrier"\x97\x02\n\x08GroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12J\n\x13sorting_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x12sortingExpressions"\x8e\x04\n\nCoGroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12W\n\x1ainput_grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18inputGroupingExpressions\x12-\n\x05other\x18\x03 \x01(\x0b\x32\x17.spark.connect.RelationR\x05other\x12W\n\x1aother_grouping_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18otherGroupingExpressions\x12\x42\n\x04\x66unc\x18\x05 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12U\n\x19input_sorting_expressions\x18\x06 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17inputSortingExpressions\x12U\n\x19other_sorting_expressions\x18\x07 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17otherSortingExpressions"\xe5\x02\n\x16\x41pplyInPandasWithState\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12#\n\routput_schema\x18\x04 \x01(\tR\x0coutputSchema\x12!\n\x0cstate_schema\x18\x05 \x01(\tR\x0bstateSchema\x12\x1f\n\x0boutput_mode\x18\x06 \x01(\tR\noutputMode\x12!\n\x0ctimeout_conf\x18\x07 \x01(\tR\x0btimeoutConf"\x88\x01\n\x0e\x43ollectMetrics\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x33\n\x07metrics\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07metrics"\x84\x03\n\x05Parse\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x38\n\x06\x66ormat\x18\x02 \x01(\x0e\x32 .spark.connect.Parse.ParseFormatR\x06\x66ormat\x12\x34\n\x06schema\x18\x03 \x01(\x0b\x32\x17.spark.connect.DataTypeH\x00R\x06schema\x88\x01\x01\x12;\n\x07options\x18\x04 \x03(\x0b\x32!.spark.connect.Parse.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"X\n\x0bParseFormat\x12\x1c\n\x18PARSE_FORMAT_UNSPECIFIED\x10\x00\x12\x14\n\x10PARSE_FORMAT_CSV\x10\x01\x12\x15\n\x11PARSE_FORMAT_JSON\x10\x02\x42\t\n\x07_schemaB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3' ) @@ -838,79 +838,79 @@ _CACHEDLOCALRELATION._serialized_start = 6784 _CACHEDLOCALRELATION._serialized_end = 6879 _CACHEDREMOTERELATION._serialized_start = 6881 - _CACHEDREMOTERELATION._serialized_end = 6989 - _SAMPLE._serialized_start = 6992 - _SAMPLE._serialized_end = 7265 - _RANGE._serialized_start = 7268 - _RANGE._serialized_end = 7413 - _SUBQUERYALIAS._serialized_start = 7415 - _SUBQUERYALIAS._serialized_end = 7529 - _REPARTITION._serialized_start = 7532 - _REPARTITION._serialized_end = 7674 - _SHOWSTRING._serialized_start = 7677 - _SHOWSTRING._serialized_end = 7819 - _HTMLSTRING._serialized_start = 7821 - _HTMLSTRING._serialized_end = 7935 - _STATSUMMARY._serialized_start = 7937 - _STATSUMMARY._serialized_end = 8029 - _STATDESCRIBE._serialized_start = 8031 - _STATDESCRIBE._serialized_end = 8112 - _STATCROSSTAB._serialized_start = 8114 - _STATCROSSTAB._serialized_end = 8215 - _STATCOV._serialized_start = 8217 - _STATCOV._serialized_end = 8313 - _STATCORR._serialized_start = 8316 - _STATCORR._serialized_end = 8453 - _STATAPPROXQUANTILE._serialized_start = 8456 - _STATAPPROXQUANTILE._serialized_end = 8620 - _STATFREQITEMS._serialized_start = 8622 - _STATFREQITEMS._serialized_end = 8747 - _STATSAMPLEBY._serialized_start = 8750 - _STATSAMPLEBY._serialized_end = 9059 - _STATSAMPLEBY_FRACTION._serialized_start = 8951 - _STATSAMPLEBY_FRACTION._serialized_end = 9050 - _NAFILL._serialized_start = 9062 - _NAFILL._serialized_end = 9196 - _NADROP._serialized_start = 9199 - _NADROP._serialized_end = 9333 - _NAREPLACE._serialized_start = 9336 - _NAREPLACE._serialized_end = 9632 - _NAREPLACE_REPLACEMENT._serialized_start = 9491 - _NAREPLACE_REPLACEMENT._serialized_end = 9632 - _TODF._serialized_start = 9634 - _TODF._serialized_end = 9722 - _WITHCOLUMNSRENAMED._serialized_start = 9725 - _WITHCOLUMNSRENAMED._serialized_end = 9964 - _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 9897 - _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 9964 - _WITHCOLUMNS._serialized_start = 9966 - _WITHCOLUMNS._serialized_end = 10085 - _WITHWATERMARK._serialized_start = 10088 - _WITHWATERMARK._serialized_end = 10222 - _HINT._serialized_start = 10225 - _HINT._serialized_end = 10357 - _UNPIVOT._serialized_start = 10360 - _UNPIVOT._serialized_end = 10687 - _UNPIVOT_VALUES._serialized_start = 10617 - _UNPIVOT_VALUES._serialized_end = 10676 - _TOSCHEMA._serialized_start = 10689 - _TOSCHEMA._serialized_end = 10795 - _REPARTITIONBYEXPRESSION._serialized_start = 10798 - _REPARTITIONBYEXPRESSION._serialized_end = 11001 - _MAPPARTITIONS._serialized_start = 11004 - _MAPPARTITIONS._serialized_end = 11185 - _GROUPMAP._serialized_start = 11188 - _GROUPMAP._serialized_end = 11467 - _COGROUPMAP._serialized_start = 11470 - _COGROUPMAP._serialized_end = 11996 - _APPLYINPANDASWITHSTATE._serialized_start = 11999 - _APPLYINPANDASWITHSTATE._serialized_end = 12356 - _COLLECTMETRICS._serialized_start = 12359 - _COLLECTMETRICS._serialized_end = 12495 - _PARSE._serialized_start = 12498 - _PARSE._serialized_end = 12886 + _CACHEDREMOTERELATION._serialized_end = 6936 + _SAMPLE._serialized_start = 6939 + _SAMPLE._serialized_end = 7212 + _RANGE._serialized_start = 7215 + _RANGE._serialized_end = 7360 + _SUBQUERYALIAS._serialized_start = 7362 + _SUBQUERYALIAS._serialized_end = 7476 + _REPARTITION._serialized_start = 7479 + _REPARTITION._serialized_end = 7621 + _SHOWSTRING._serialized_start = 7624 + _SHOWSTRING._serialized_end = 7766 + _HTMLSTRING._serialized_start = 7768 + _HTMLSTRING._serialized_end = 7882 + _STATSUMMARY._serialized_start = 7884 + _STATSUMMARY._serialized_end = 7976 + _STATDESCRIBE._serialized_start = 7978 + _STATDESCRIBE._serialized_end = 8059 + _STATCROSSTAB._serialized_start = 8061 + _STATCROSSTAB._serialized_end = 8162 + _STATCOV._serialized_start = 8164 + _STATCOV._serialized_end = 8260 + _STATCORR._serialized_start = 8263 + _STATCORR._serialized_end = 8400 + _STATAPPROXQUANTILE._serialized_start = 8403 + _STATAPPROXQUANTILE._serialized_end = 8567 + _STATFREQITEMS._serialized_start = 8569 + _STATFREQITEMS._serialized_end = 8694 + _STATSAMPLEBY._serialized_start = 8697 + _STATSAMPLEBY._serialized_end = 9006 + _STATSAMPLEBY_FRACTION._serialized_start = 8898 + _STATSAMPLEBY_FRACTION._serialized_end = 8997 + _NAFILL._serialized_start = 9009 + _NAFILL._serialized_end = 9143 + _NADROP._serialized_start = 9146 + _NADROP._serialized_end = 9280 + _NAREPLACE._serialized_start = 9283 + _NAREPLACE._serialized_end = 9579 + _NAREPLACE_REPLACEMENT._serialized_start = 9438 + _NAREPLACE_REPLACEMENT._serialized_end = 9579 + _TODF._serialized_start = 9581 + _TODF._serialized_end = 9669 + _WITHCOLUMNSRENAMED._serialized_start = 9672 + _WITHCOLUMNSRENAMED._serialized_end = 9911 + _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 9844 + _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 9911 + _WITHCOLUMNS._serialized_start = 9913 + _WITHCOLUMNS._serialized_end = 10032 + _WITHWATERMARK._serialized_start = 10035 + _WITHWATERMARK._serialized_end = 10169 + _HINT._serialized_start = 10172 + _HINT._serialized_end = 10304 + _UNPIVOT._serialized_start = 10307 + _UNPIVOT._serialized_end = 10634 + _UNPIVOT_VALUES._serialized_start = 10564 + _UNPIVOT_VALUES._serialized_end = 10623 + _TOSCHEMA._serialized_start = 10636 + _TOSCHEMA._serialized_end = 10742 + _REPARTITIONBYEXPRESSION._serialized_start = 10745 + _REPARTITIONBYEXPRESSION._serialized_end = 10948 + _MAPPARTITIONS._serialized_start = 10951 + _MAPPARTITIONS._serialized_end = 11132 + _GROUPMAP._serialized_start = 11135 + _GROUPMAP._serialized_end = 11414 + _COGROUPMAP._serialized_start = 11417 + _COGROUPMAP._serialized_end = 11943 + _APPLYINPANDASWITHSTATE._serialized_start = 11946 + _APPLYINPANDASWITHSTATE._serialized_end = 12303 + _COLLECTMETRICS._serialized_start = 12306 + _COLLECTMETRICS._serialized_end = 12442 + _PARSE._serialized_start = 12445 + _PARSE._serialized_end = 12833 _PARSE_OPTIONSENTRY._serialized_start = 3780 _PARSE_OPTIONSENTRY._serialized_end = 3838 - _PARSE_PARSEFORMAT._serialized_start = 12787 - _PARSE_PARSEFORMAT._serialized_end = 12875 + _PARSE_PARSEFORMAT._serialized_start = 12734 + _PARSE_PARSEFORMAT._serialized_end = 12822 # @@protoc_insertion_point(module_scope) diff --git a/python/pyspark/sql/connect/proto/relations_pb2.pyi b/python/pyspark/sql/connect/proto/relations_pb2.pyi index 91251a1dc90d..07bebdc9a574 100644 --- a/python/pyspark/sql/connect/proto/relations_pb2.pyi +++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi @@ -1607,27 +1607,16 @@ class CachedRemoteRelation(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor - USERID_FIELD_NUMBER: builtins.int - SESSIONID_FIELD_NUMBER: builtins.int - RELATIONID_FIELD_NUMBER: builtins.int - userId: builtins.str - """(Required) An identifier of the user which cached the relation""" - sessionId: builtins.str - """(Required) An identifier of the Spark session in which the relation is cached""" - relationId: builtins.str - """(Required) A key represents the id of the cached relation""" + RELATION_ID_FIELD_NUMBER: builtins.int + relation_id: builtins.str + """(Required) ID of the remote related (assigned by the service).""" def __init__( self, *, - userId: builtins.str = ..., - sessionId: builtins.str = ..., - relationId: builtins.str = ..., + relation_id: builtins.str = ..., ) -> None: ... def ClearField( - self, - field_name: typing_extensions.Literal[ - "relationId", b"relationId", "sessionId", b"sessionId", "userId", b"userId" - ], + self, field_name: typing_extensions.Literal["relation_id", b"relation_id"] ) -> None: ... global___CachedRemoteRelation = CachedRemoteRelation From 8a05f9bda048e3d663ae1e540a3a2561933b739b Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Wed, 14 Jun 2023 13:10:05 -0700 Subject: [PATCH 06/15] minor: change field no to 1 --- .../common/src/main/protobuf/spark/connect/relations.proto | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto index 69f8bd3309a9..f7dc2dfe88b8 100644 --- a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto +++ b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto @@ -399,7 +399,7 @@ message CachedLocalRelation { // Represents a remote relation that has been cached on server. message CachedRemoteRelation { // (Required) ID of the remote related (assigned by the service). - string relation_id = 3; + string relation_id = 1; } // Relation of type [[Sample]] that samples a fraction of the dataset. From dde3e3673d310b82fe37fadd36b8f498f8c84a58 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Wed, 14 Jun 2023 13:10:48 -0700 Subject: [PATCH 07/15] python codegen --- python/pyspark/sql/connect/proto/relations_pb2.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py index 51e605446abc..2d989e3878f0 100644 --- a/python/pyspark/sql/connect/proto/relations_pb2.py +++ b/python/pyspark/sql/connect/proto/relations_pb2.py @@ -36,7 +36,7 @@ DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile( - b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xd0\x17\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n \x01(\x0b\x32\x12.spark.connect.SQLH\x00R\x03sql\x12\x45\n\x0elocal_relation\x18\x0b \x01(\x0b\x32\x1c.spark.connect.LocalRelationH\x00R\rlocalRelation\x12/\n\x06sample\x18\x0c \x01(\x0b\x32\x15.spark.connect.SampleH\x00R\x06sample\x12/\n\x06offset\x18\r \x01(\x0b\x32\x15.spark.connect.OffsetH\x00R\x06offset\x12>\n\x0b\x64\x65\x64uplicate\x18\x0e \x01(\x0b\x32\x1a.spark.connect.DeduplicateH\x00R\x0b\x64\x65\x64uplicate\x12,\n\x05range\x18\x0f \x01(\x0b\x32\x14.spark.connect.RangeH\x00R\x05range\x12\x45\n\x0esubquery_alias\x18\x10 \x01(\x0b\x32\x1c.spark.connect.SubqueryAliasH\x00R\rsubqueryAlias\x12>\n\x0brepartition\x18\x11 \x01(\x0b\x32\x1a.spark.connect.RepartitionH\x00R\x0brepartition\x12*\n\x05to_df\x18\x12 \x01(\x0b\x32\x13.spark.connect.ToDFH\x00R\x04toDf\x12U\n\x14with_columns_renamed\x18\x13 \x01(\x0b\x32!.spark.connect.WithColumnsRenamedH\x00R\x12withColumnsRenamed\x12<\n\x0bshow_string\x18\x14 \x01(\x0b\x32\x19.spark.connect.ShowStringH\x00R\nshowString\x12)\n\x04\x64rop\x18\x15 \x01(\x0b\x32\x13.spark.connect.DropH\x00R\x04\x64rop\x12)\n\x04tail\x18\x16 \x01(\x0b\x32\x13.spark.connect.TailH\x00R\x04tail\x12?\n\x0cwith_columns\x18\x17 \x01(\x0b\x32\x1a.spark.connect.WithColumnsH\x00R\x0bwithColumns\x12)\n\x04hint\x18\x18 \x01(\x0b\x32\x13.spark.connect.HintH\x00R\x04hint\x12\x32\n\x07unpivot\x18\x19 \x01(\x0b\x32\x16.spark.connect.UnpivotH\x00R\x07unpivot\x12\x36\n\tto_schema\x18\x1a \x01(\x0b\x32\x17.spark.connect.ToSchemaH\x00R\x08toSchema\x12\x64\n\x19repartition_by_expression\x18\x1b \x01(\x0b\x32&.spark.connect.RepartitionByExpressionH\x00R\x17repartitionByExpression\x12\x45\n\x0emap_partitions\x18\x1c \x01(\x0b\x32\x1c.spark.connect.MapPartitionsH\x00R\rmapPartitions\x12H\n\x0f\x63ollect_metrics\x18\x1d \x01(\x0b\x32\x1d.spark.connect.CollectMetricsH\x00R\x0e\x63ollectMetrics\x12,\n\x05parse\x18\x1e \x01(\x0b\x32\x14.spark.connect.ParseH\x00R\x05parse\x12\x36\n\tgroup_map\x18\x1f \x01(\x0b\x32\x17.spark.connect.GroupMapH\x00R\x08groupMap\x12=\n\x0c\x63o_group_map\x18 \x01(\x0b\x32\x19.spark.connect.CoGroupMapH\x00R\ncoGroupMap\x12\x45\n\x0ewith_watermark\x18! \x01(\x0b\x32\x1c.spark.connect.WithWatermarkH\x00R\rwithWatermark\x12\x63\n\x1a\x61pply_in_pandas_with_state\x18" \x01(\x0b\x32%.spark.connect.ApplyInPandasWithStateH\x00R\x16\x61pplyInPandasWithState\x12<\n\x0bhtml_string\x18# \x01(\x0b\x32\x19.spark.connect.HtmlStringH\x00R\nhtmlString\x12X\n\x15\x63\x61\x63hed_local_relation\x18$ \x01(\x0b\x32".spark.connect.CachedLocalRelationH\x00R\x13\x63\x61\x63hedLocalRelation\x12[\n\x16\x63\x61\x63hed_remote_relation\x18% \x01(\x0b\x32#.spark.connect.CachedRemoteRelationH\x00R\x14\x63\x61\x63hedRemoteRelation\x12\x30\n\x07\x66ill_na\x18Z \x01(\x0b\x32\x15.spark.connect.NAFillH\x00R\x06\x66illNa\x12\x30\n\x07\x64rop_na\x18[ \x01(\x0b\x32\x15.spark.connect.NADropH\x00R\x06\x64ropNa\x12\x34\n\x07replace\x18\\ \x01(\x0b\x32\x18.spark.connect.NAReplaceH\x00R\x07replace\x12\x36\n\x07summary\x18\x64 \x01(\x0b\x32\x1a.spark.connect.StatSummaryH\x00R\x07summary\x12\x39\n\x08\x63rosstab\x18\x65 \x01(\x0b\x32\x1b.spark.connect.StatCrosstabH\x00R\x08\x63rosstab\x12\x39\n\x08\x64\x65scribe\x18\x66 \x01(\x0b\x32\x1b.spark.connect.StatDescribeH\x00R\x08\x64\x65scribe\x12*\n\x03\x63ov\x18g \x01(\x0b\x32\x16.spark.connect.StatCovH\x00R\x03\x63ov\x12-\n\x04\x63orr\x18h \x01(\x0b\x32\x17.spark.connect.StatCorrH\x00R\x04\x63orr\x12L\n\x0f\x61pprox_quantile\x18i \x01(\x0b\x32!.spark.connect.StatApproxQuantileH\x00R\x0e\x61pproxQuantile\x12=\n\nfreq_items\x18j \x01(\x0b\x32\x1c.spark.connect.StatFreqItemsH\x00R\tfreqItems\x12:\n\tsample_by\x18k \x01(\x0b\x32\x1b.spark.connect.StatSampleByH\x00R\x08sampleBy\x12\x33\n\x07\x63\x61talog\x18\xc8\x01 \x01(\x0b\x32\x16.spark.connect.CatalogH\x00R\x07\x63\x61talog\x12\x35\n\textension\x18\xe6\x07 \x01(\x0b\x32\x14.google.protobuf.AnyH\x00R\textension\x12\x33\n\x07unknown\x18\xe7\x07 \x01(\x0b\x32\x16.spark.connect.UnknownH\x00R\x07unknownB\n\n\x08rel_type"\t\n\x07Unknown"[\n\x0eRelationCommon\x12\x1f\n\x0bsource_info\x18\x01 \x01(\tR\nsourceInfo\x12\x1c\n\x07plan_id\x18\x02 \x01(\x03H\x00R\x06planId\x88\x01\x01\x42\n\n\x08_plan_id"\xa9\x01\n\x03SQL\x12\x14\n\x05query\x18\x01 \x01(\tR\x05query\x12\x30\n\x04\x61rgs\x18\x02 \x03(\x0b\x32\x1c.spark.connect.SQL.ArgsEntryR\x04\x61rgs\x1aZ\n\tArgsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x37\n\x05value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x05value:\x02\x38\x01"\x97\x05\n\x04Read\x12\x41\n\x0bnamed_table\x18\x01 \x01(\x0b\x32\x1e.spark.connect.Read.NamedTableH\x00R\nnamedTable\x12\x41\n\x0b\x64\x61ta_source\x18\x02 \x01(\x0b\x32\x1e.spark.connect.Read.DataSourceH\x00R\ndataSource\x12!\n\x0cis_streaming\x18\x03 \x01(\x08R\x0bisStreaming\x1a\xc0\x01\n\nNamedTable\x12/\n\x13unparsed_identifier\x18\x01 \x01(\tR\x12unparsedIdentifier\x12\x45\n\x07options\x18\x02 \x03(\x0b\x32+.spark.connect.Read.NamedTable.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x1a\x95\x02\n\nDataSource\x12\x1b\n\x06\x66ormat\x18\x01 \x01(\tH\x00R\x06\x66ormat\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x12\x45\n\x07options\x18\x03 \x03(\x0b\x32+.spark.connect.Read.DataSource.OptionsEntryR\x07options\x12\x14\n\x05paths\x18\x04 \x03(\tR\x05paths\x12\x1e\n\npredicates\x18\x05 \x03(\tR\npredicates\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x42\t\n\x07_formatB\t\n\x07_schemaB\x0b\n\tread_type"u\n\x07Project\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12;\n\x0b\x65xpressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0b\x65xpressions"p\n\x06\x46ilter\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x37\n\tcondition\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\tcondition"\xd7\x03\n\x04Join\x12+\n\x04left\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x04left\x12-\n\x05right\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\x05right\x12@\n\x0ejoin_condition\x18\x03 \x01(\x0b\x32\x19.spark.connect.ExpressionR\rjoinCondition\x12\x39\n\tjoin_type\x18\x04 \x01(\x0e\x32\x1c.spark.connect.Join.JoinTypeR\x08joinType\x12#\n\rusing_columns\x18\x05 \x03(\tR\x0cusingColumns"\xd0\x01\n\x08JoinType\x12\x19\n\x15JOIN_TYPE_UNSPECIFIED\x10\x00\x12\x13\n\x0fJOIN_TYPE_INNER\x10\x01\x12\x18\n\x14JOIN_TYPE_FULL_OUTER\x10\x02\x12\x18\n\x14JOIN_TYPE_LEFT_OUTER\x10\x03\x12\x19\n\x15JOIN_TYPE_RIGHT_OUTER\x10\x04\x12\x17\n\x13JOIN_TYPE_LEFT_ANTI\x10\x05\x12\x17\n\x13JOIN_TYPE_LEFT_SEMI\x10\x06\x12\x13\n\x0fJOIN_TYPE_CROSS\x10\x07"\xdf\x03\n\x0cSetOperation\x12\x36\n\nleft_input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\tleftInput\x12\x38\n\x0bright_input\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\nrightInput\x12\x45\n\x0bset_op_type\x18\x03 \x01(\x0e\x32%.spark.connect.SetOperation.SetOpTypeR\tsetOpType\x12\x1a\n\x06is_all\x18\x04 \x01(\x08H\x00R\x05isAll\x88\x01\x01\x12\x1c\n\x07\x62y_name\x18\x05 \x01(\x08H\x01R\x06\x62yName\x88\x01\x01\x12\x37\n\x15\x61llow_missing_columns\x18\x06 \x01(\x08H\x02R\x13\x61llowMissingColumns\x88\x01\x01"r\n\tSetOpType\x12\x1b\n\x17SET_OP_TYPE_UNSPECIFIED\x10\x00\x12\x19\n\x15SET_OP_TYPE_INTERSECT\x10\x01\x12\x15\n\x11SET_OP_TYPE_UNION\x10\x02\x12\x16\n\x12SET_OP_TYPE_EXCEPT\x10\x03\x42\t\n\x07_is_allB\n\n\x08_by_nameB\x18\n\x16_allow_missing_columns"L\n\x05Limit\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"O\n\x06Offset\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x16\n\x06offset\x18\x02 \x01(\x05R\x06offset"K\n\x04Tail\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"\xc6\x04\n\tAggregate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x41\n\ngroup_type\x18\x02 \x01(\x0e\x32".spark.connect.Aggregate.GroupTypeR\tgroupType\x12L\n\x14grouping_expressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12N\n\x15\x61ggregate_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x14\x61ggregateExpressions\x12\x34\n\x05pivot\x18\x05 \x01(\x0b\x32\x1e.spark.connect.Aggregate.PivotR\x05pivot\x1ao\n\x05Pivot\x12+\n\x03\x63ol\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x39\n\x06values\x18\x02 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x81\x01\n\tGroupType\x12\x1a\n\x16GROUP_TYPE_UNSPECIFIED\x10\x00\x12\x16\n\x12GROUP_TYPE_GROUPBY\x10\x01\x12\x15\n\x11GROUP_TYPE_ROLLUP\x10\x02\x12\x13\n\x0fGROUP_TYPE_CUBE\x10\x03\x12\x14\n\x10GROUP_TYPE_PIVOT\x10\x04"\xa0\x01\n\x04Sort\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x05order\x18\x02 \x03(\x0b\x32#.spark.connect.Expression.SortOrderR\x05order\x12 \n\tis_global\x18\x03 \x01(\x08H\x00R\x08isGlobal\x88\x01\x01\x42\x0c\n\n_is_global"\x8d\x01\n\x04\x44rop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x33\n\x07\x63olumns\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07\x63olumns\x12!\n\x0c\x63olumn_names\x18\x03 \x03(\tR\x0b\x63olumnNames"\xf0\x01\n\x0b\x44\x65\x64uplicate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames\x12\x32\n\x13\x61ll_columns_as_keys\x18\x03 \x01(\x08H\x00R\x10\x61llColumnsAsKeys\x88\x01\x01\x12.\n\x10within_watermark\x18\x04 \x01(\x08H\x01R\x0fwithinWatermark\x88\x01\x01\x42\x16\n\x14_all_columns_as_keysB\x13\n\x11_within_watermark"Y\n\rLocalRelation\x12\x17\n\x04\x64\x61ta\x18\x01 \x01(\x0cH\x00R\x04\x64\x61ta\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x42\x07\n\x05_dataB\t\n\x07_schema"_\n\x13\x43\x61\x63hedLocalRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x12\n\x04hash\x18\x03 \x01(\tR\x04hash"7\n\x14\x43\x61\x63hedRemoteRelation\x12\x1f\n\x0brelation_id\x18\x03 \x01(\tR\nrelationId"\x91\x02\n\x06Sample\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1f\n\x0blower_bound\x18\x02 \x01(\x01R\nlowerBound\x12\x1f\n\x0bupper_bound\x18\x03 \x01(\x01R\nupperBound\x12.\n\x10with_replacement\x18\x04 \x01(\x08H\x00R\x0fwithReplacement\x88\x01\x01\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x01R\x04seed\x88\x01\x01\x12/\n\x13\x64\x65terministic_order\x18\x06 \x01(\x08R\x12\x64\x65terministicOrderB\x13\n\x11_with_replacementB\x07\n\x05_seed"\x91\x01\n\x05Range\x12\x19\n\x05start\x18\x01 \x01(\x03H\x00R\x05start\x88\x01\x01\x12\x10\n\x03\x65nd\x18\x02 \x01(\x03R\x03\x65nd\x12\x12\n\x04step\x18\x03 \x01(\x03R\x04step\x12*\n\x0enum_partitions\x18\x04 \x01(\x05H\x01R\rnumPartitions\x88\x01\x01\x42\x08\n\x06_startB\x11\n\x0f_num_partitions"r\n\rSubqueryAlias\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05\x61lias\x18\x02 \x01(\tR\x05\x61lias\x12\x1c\n\tqualifier\x18\x03 \x03(\tR\tqualifier"\x8e\x01\n\x0bRepartition\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12%\n\x0enum_partitions\x18\x02 \x01(\x05R\rnumPartitions\x12\x1d\n\x07shuffle\x18\x03 \x01(\x08H\x00R\x07shuffle\x88\x01\x01\x42\n\n\x08_shuffle"\x8e\x01\n\nShowString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate\x12\x1a\n\x08vertical\x18\x04 \x01(\x08R\x08vertical"r\n\nHtmlString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate"\\\n\x0bStatSummary\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1e\n\nstatistics\x18\x02 \x03(\tR\nstatistics"Q\n\x0cStatDescribe\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols"e\n\x0cStatCrosstab\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"`\n\x07StatCov\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"\x89\x01\n\x08StatCorr\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2\x12\x1b\n\x06method\x18\x04 \x01(\tH\x00R\x06method\x88\x01\x01\x42\t\n\x07_method"\xa4\x01\n\x12StatApproxQuantile\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12$\n\rprobabilities\x18\x03 \x03(\x01R\rprobabilities\x12%\n\x0erelative_error\x18\x04 \x01(\x01R\rrelativeError"}\n\rStatFreqItems\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x1d\n\x07support\x18\x03 \x01(\x01H\x00R\x07support\x88\x01\x01\x42\n\n\x08_support"\xb5\x02\n\x0cStatSampleBy\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03\x63ol\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x42\n\tfractions\x18\x03 \x03(\x0b\x32$.spark.connect.StatSampleBy.FractionR\tfractions\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x00R\x04seed\x88\x01\x01\x1a\x63\n\x08\x46raction\x12;\n\x07stratum\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x07stratum\x12\x1a\n\x08\x66raction\x18\x02 \x01(\x01R\x08\x66ractionB\x07\n\x05_seed"\x86\x01\n\x06NAFill\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x39\n\x06values\x18\x03 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x86\x01\n\x06NADrop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\'\n\rmin_non_nulls\x18\x03 \x01(\x05H\x00R\x0bminNonNulls\x88\x01\x01\x42\x10\n\x0e_min_non_nulls"\xa8\x02\n\tNAReplace\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12H\n\x0creplacements\x18\x03 \x03(\x0b\x32$.spark.connect.NAReplace.ReplacementR\x0creplacements\x1a\x8d\x01\n\x0bReplacement\x12>\n\told_value\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08oldValue\x12>\n\tnew_value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08newValue"X\n\x04ToDF\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames"\xef\x01\n\x12WithColumnsRenamed\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x65\n\x12rename_columns_map\x18\x02 \x03(\x0b\x32\x37.spark.connect.WithColumnsRenamed.RenameColumnsMapEntryR\x10renameColumnsMap\x1a\x43\n\x15RenameColumnsMapEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"w\n\x0bWithColumns\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x07\x61liases\x18\x02 \x03(\x0b\x32\x1f.spark.connect.Expression.AliasR\x07\x61liases"\x86\x01\n\rWithWatermark\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1d\n\nevent_time\x18\x02 \x01(\tR\teventTime\x12\'\n\x0f\x64\x65lay_threshold\x18\x03 \x01(\tR\x0e\x64\x65layThreshold"\x84\x01\n\x04Hint\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x39\n\nparameters\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\nparameters"\xc7\x02\n\x07Unpivot\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03ids\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x03ids\x12:\n\x06values\x18\x03 \x01(\x0b\x32\x1d.spark.connect.Unpivot.ValuesH\x00R\x06values\x88\x01\x01\x12\x30\n\x14variable_column_name\x18\x04 \x01(\tR\x12variableColumnName\x12*\n\x11value_column_name\x18\x05 \x01(\tR\x0fvalueColumnName\x1a;\n\x06Values\x12\x31\n\x06values\x18\x01 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x06valuesB\t\n\x07_values"j\n\x08ToSchema\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12/\n\x06schema\x18\x02 \x01(\x0b\x32\x17.spark.connect.DataTypeR\x06schema"\xcb\x01\n\x17RepartitionByExpression\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x0fpartition_exprs\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0epartitionExprs\x12*\n\x0enum_partitions\x18\x03 \x01(\x05H\x00R\rnumPartitions\x88\x01\x01\x42\x11\n\x0f_num_partitions"\xb5\x01\n\rMapPartitions\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x04\x66unc\x18\x02 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12"\n\nis_barrier\x18\x03 \x01(\x08H\x00R\tisBarrier\x88\x01\x01\x42\r\n\x0b_is_barrier"\x97\x02\n\x08GroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12J\n\x13sorting_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x12sortingExpressions"\x8e\x04\n\nCoGroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12W\n\x1ainput_grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18inputGroupingExpressions\x12-\n\x05other\x18\x03 \x01(\x0b\x32\x17.spark.connect.RelationR\x05other\x12W\n\x1aother_grouping_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18otherGroupingExpressions\x12\x42\n\x04\x66unc\x18\x05 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12U\n\x19input_sorting_expressions\x18\x06 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17inputSortingExpressions\x12U\n\x19other_sorting_expressions\x18\x07 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17otherSortingExpressions"\xe5\x02\n\x16\x41pplyInPandasWithState\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12#\n\routput_schema\x18\x04 \x01(\tR\x0coutputSchema\x12!\n\x0cstate_schema\x18\x05 \x01(\tR\x0bstateSchema\x12\x1f\n\x0boutput_mode\x18\x06 \x01(\tR\noutputMode\x12!\n\x0ctimeout_conf\x18\x07 \x01(\tR\x0btimeoutConf"\x88\x01\n\x0e\x43ollectMetrics\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x33\n\x07metrics\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07metrics"\x84\x03\n\x05Parse\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x38\n\x06\x66ormat\x18\x02 \x01(\x0e\x32 .spark.connect.Parse.ParseFormatR\x06\x66ormat\x12\x34\n\x06schema\x18\x03 \x01(\x0b\x32\x17.spark.connect.DataTypeH\x00R\x06schema\x88\x01\x01\x12;\n\x07options\x18\x04 \x03(\x0b\x32!.spark.connect.Parse.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"X\n\x0bParseFormat\x12\x1c\n\x18PARSE_FORMAT_UNSPECIFIED\x10\x00\x12\x14\n\x10PARSE_FORMAT_CSV\x10\x01\x12\x15\n\x11PARSE_FORMAT_JSON\x10\x02\x42\t\n\x07_schemaB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3' + b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xd0\x17\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n \x01(\x0b\x32\x12.spark.connect.SQLH\x00R\x03sql\x12\x45\n\x0elocal_relation\x18\x0b \x01(\x0b\x32\x1c.spark.connect.LocalRelationH\x00R\rlocalRelation\x12/\n\x06sample\x18\x0c \x01(\x0b\x32\x15.spark.connect.SampleH\x00R\x06sample\x12/\n\x06offset\x18\r \x01(\x0b\x32\x15.spark.connect.OffsetH\x00R\x06offset\x12>\n\x0b\x64\x65\x64uplicate\x18\x0e \x01(\x0b\x32\x1a.spark.connect.DeduplicateH\x00R\x0b\x64\x65\x64uplicate\x12,\n\x05range\x18\x0f \x01(\x0b\x32\x14.spark.connect.RangeH\x00R\x05range\x12\x45\n\x0esubquery_alias\x18\x10 \x01(\x0b\x32\x1c.spark.connect.SubqueryAliasH\x00R\rsubqueryAlias\x12>\n\x0brepartition\x18\x11 \x01(\x0b\x32\x1a.spark.connect.RepartitionH\x00R\x0brepartition\x12*\n\x05to_df\x18\x12 \x01(\x0b\x32\x13.spark.connect.ToDFH\x00R\x04toDf\x12U\n\x14with_columns_renamed\x18\x13 \x01(\x0b\x32!.spark.connect.WithColumnsRenamedH\x00R\x12withColumnsRenamed\x12<\n\x0bshow_string\x18\x14 \x01(\x0b\x32\x19.spark.connect.ShowStringH\x00R\nshowString\x12)\n\x04\x64rop\x18\x15 \x01(\x0b\x32\x13.spark.connect.DropH\x00R\x04\x64rop\x12)\n\x04tail\x18\x16 \x01(\x0b\x32\x13.spark.connect.TailH\x00R\x04tail\x12?\n\x0cwith_columns\x18\x17 \x01(\x0b\x32\x1a.spark.connect.WithColumnsH\x00R\x0bwithColumns\x12)\n\x04hint\x18\x18 \x01(\x0b\x32\x13.spark.connect.HintH\x00R\x04hint\x12\x32\n\x07unpivot\x18\x19 \x01(\x0b\x32\x16.spark.connect.UnpivotH\x00R\x07unpivot\x12\x36\n\tto_schema\x18\x1a \x01(\x0b\x32\x17.spark.connect.ToSchemaH\x00R\x08toSchema\x12\x64\n\x19repartition_by_expression\x18\x1b \x01(\x0b\x32&.spark.connect.RepartitionByExpressionH\x00R\x17repartitionByExpression\x12\x45\n\x0emap_partitions\x18\x1c \x01(\x0b\x32\x1c.spark.connect.MapPartitionsH\x00R\rmapPartitions\x12H\n\x0f\x63ollect_metrics\x18\x1d \x01(\x0b\x32\x1d.spark.connect.CollectMetricsH\x00R\x0e\x63ollectMetrics\x12,\n\x05parse\x18\x1e \x01(\x0b\x32\x14.spark.connect.ParseH\x00R\x05parse\x12\x36\n\tgroup_map\x18\x1f \x01(\x0b\x32\x17.spark.connect.GroupMapH\x00R\x08groupMap\x12=\n\x0c\x63o_group_map\x18 \x01(\x0b\x32\x19.spark.connect.CoGroupMapH\x00R\ncoGroupMap\x12\x45\n\x0ewith_watermark\x18! \x01(\x0b\x32\x1c.spark.connect.WithWatermarkH\x00R\rwithWatermark\x12\x63\n\x1a\x61pply_in_pandas_with_state\x18" \x01(\x0b\x32%.spark.connect.ApplyInPandasWithStateH\x00R\x16\x61pplyInPandasWithState\x12<\n\x0bhtml_string\x18# \x01(\x0b\x32\x19.spark.connect.HtmlStringH\x00R\nhtmlString\x12X\n\x15\x63\x61\x63hed_local_relation\x18$ \x01(\x0b\x32".spark.connect.CachedLocalRelationH\x00R\x13\x63\x61\x63hedLocalRelation\x12[\n\x16\x63\x61\x63hed_remote_relation\x18% \x01(\x0b\x32#.spark.connect.CachedRemoteRelationH\x00R\x14\x63\x61\x63hedRemoteRelation\x12\x30\n\x07\x66ill_na\x18Z \x01(\x0b\x32\x15.spark.connect.NAFillH\x00R\x06\x66illNa\x12\x30\n\x07\x64rop_na\x18[ \x01(\x0b\x32\x15.spark.connect.NADropH\x00R\x06\x64ropNa\x12\x34\n\x07replace\x18\\ \x01(\x0b\x32\x18.spark.connect.NAReplaceH\x00R\x07replace\x12\x36\n\x07summary\x18\x64 \x01(\x0b\x32\x1a.spark.connect.StatSummaryH\x00R\x07summary\x12\x39\n\x08\x63rosstab\x18\x65 \x01(\x0b\x32\x1b.spark.connect.StatCrosstabH\x00R\x08\x63rosstab\x12\x39\n\x08\x64\x65scribe\x18\x66 \x01(\x0b\x32\x1b.spark.connect.StatDescribeH\x00R\x08\x64\x65scribe\x12*\n\x03\x63ov\x18g \x01(\x0b\x32\x16.spark.connect.StatCovH\x00R\x03\x63ov\x12-\n\x04\x63orr\x18h \x01(\x0b\x32\x17.spark.connect.StatCorrH\x00R\x04\x63orr\x12L\n\x0f\x61pprox_quantile\x18i \x01(\x0b\x32!.spark.connect.StatApproxQuantileH\x00R\x0e\x61pproxQuantile\x12=\n\nfreq_items\x18j \x01(\x0b\x32\x1c.spark.connect.StatFreqItemsH\x00R\tfreqItems\x12:\n\tsample_by\x18k \x01(\x0b\x32\x1b.spark.connect.StatSampleByH\x00R\x08sampleBy\x12\x33\n\x07\x63\x61talog\x18\xc8\x01 \x01(\x0b\x32\x16.spark.connect.CatalogH\x00R\x07\x63\x61talog\x12\x35\n\textension\x18\xe6\x07 \x01(\x0b\x32\x14.google.protobuf.AnyH\x00R\textension\x12\x33\n\x07unknown\x18\xe7\x07 \x01(\x0b\x32\x16.spark.connect.UnknownH\x00R\x07unknownB\n\n\x08rel_type"\t\n\x07Unknown"[\n\x0eRelationCommon\x12\x1f\n\x0bsource_info\x18\x01 \x01(\tR\nsourceInfo\x12\x1c\n\x07plan_id\x18\x02 \x01(\x03H\x00R\x06planId\x88\x01\x01\x42\n\n\x08_plan_id"\xa9\x01\n\x03SQL\x12\x14\n\x05query\x18\x01 \x01(\tR\x05query\x12\x30\n\x04\x61rgs\x18\x02 \x03(\x0b\x32\x1c.spark.connect.SQL.ArgsEntryR\x04\x61rgs\x1aZ\n\tArgsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x37\n\x05value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x05value:\x02\x38\x01"\x97\x05\n\x04Read\x12\x41\n\x0bnamed_table\x18\x01 \x01(\x0b\x32\x1e.spark.connect.Read.NamedTableH\x00R\nnamedTable\x12\x41\n\x0b\x64\x61ta_source\x18\x02 \x01(\x0b\x32\x1e.spark.connect.Read.DataSourceH\x00R\ndataSource\x12!\n\x0cis_streaming\x18\x03 \x01(\x08R\x0bisStreaming\x1a\xc0\x01\n\nNamedTable\x12/\n\x13unparsed_identifier\x18\x01 \x01(\tR\x12unparsedIdentifier\x12\x45\n\x07options\x18\x02 \x03(\x0b\x32+.spark.connect.Read.NamedTable.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x1a\x95\x02\n\nDataSource\x12\x1b\n\x06\x66ormat\x18\x01 \x01(\tH\x00R\x06\x66ormat\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x12\x45\n\x07options\x18\x03 \x03(\x0b\x32+.spark.connect.Read.DataSource.OptionsEntryR\x07options\x12\x14\n\x05paths\x18\x04 \x03(\tR\x05paths\x12\x1e\n\npredicates\x18\x05 \x03(\tR\npredicates\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01\x42\t\n\x07_formatB\t\n\x07_schemaB\x0b\n\tread_type"u\n\x07Project\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12;\n\x0b\x65xpressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0b\x65xpressions"p\n\x06\x46ilter\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x37\n\tcondition\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\tcondition"\xd7\x03\n\x04Join\x12+\n\x04left\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x04left\x12-\n\x05right\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\x05right\x12@\n\x0ejoin_condition\x18\x03 \x01(\x0b\x32\x19.spark.connect.ExpressionR\rjoinCondition\x12\x39\n\tjoin_type\x18\x04 \x01(\x0e\x32\x1c.spark.connect.Join.JoinTypeR\x08joinType\x12#\n\rusing_columns\x18\x05 \x03(\tR\x0cusingColumns"\xd0\x01\n\x08JoinType\x12\x19\n\x15JOIN_TYPE_UNSPECIFIED\x10\x00\x12\x13\n\x0fJOIN_TYPE_INNER\x10\x01\x12\x18\n\x14JOIN_TYPE_FULL_OUTER\x10\x02\x12\x18\n\x14JOIN_TYPE_LEFT_OUTER\x10\x03\x12\x19\n\x15JOIN_TYPE_RIGHT_OUTER\x10\x04\x12\x17\n\x13JOIN_TYPE_LEFT_ANTI\x10\x05\x12\x17\n\x13JOIN_TYPE_LEFT_SEMI\x10\x06\x12\x13\n\x0fJOIN_TYPE_CROSS\x10\x07"\xdf\x03\n\x0cSetOperation\x12\x36\n\nleft_input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\tleftInput\x12\x38\n\x0bright_input\x18\x02 \x01(\x0b\x32\x17.spark.connect.RelationR\nrightInput\x12\x45\n\x0bset_op_type\x18\x03 \x01(\x0e\x32%.spark.connect.SetOperation.SetOpTypeR\tsetOpType\x12\x1a\n\x06is_all\x18\x04 \x01(\x08H\x00R\x05isAll\x88\x01\x01\x12\x1c\n\x07\x62y_name\x18\x05 \x01(\x08H\x01R\x06\x62yName\x88\x01\x01\x12\x37\n\x15\x61llow_missing_columns\x18\x06 \x01(\x08H\x02R\x13\x61llowMissingColumns\x88\x01\x01"r\n\tSetOpType\x12\x1b\n\x17SET_OP_TYPE_UNSPECIFIED\x10\x00\x12\x19\n\x15SET_OP_TYPE_INTERSECT\x10\x01\x12\x15\n\x11SET_OP_TYPE_UNION\x10\x02\x12\x16\n\x12SET_OP_TYPE_EXCEPT\x10\x03\x42\t\n\x07_is_allB\n\n\x08_by_nameB\x18\n\x16_allow_missing_columns"L\n\x05Limit\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"O\n\x06Offset\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x16\n\x06offset\x18\x02 \x01(\x05R\x06offset"K\n\x04Tail\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05limit\x18\x02 \x01(\x05R\x05limit"\xc6\x04\n\tAggregate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x41\n\ngroup_type\x18\x02 \x01(\x0e\x32".spark.connect.Aggregate.GroupTypeR\tgroupType\x12L\n\x14grouping_expressions\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12N\n\x15\x61ggregate_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x14\x61ggregateExpressions\x12\x34\n\x05pivot\x18\x05 \x01(\x0b\x32\x1e.spark.connect.Aggregate.PivotR\x05pivot\x1ao\n\x05Pivot\x12+\n\x03\x63ol\x18\x01 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x39\n\x06values\x18\x02 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x81\x01\n\tGroupType\x12\x1a\n\x16GROUP_TYPE_UNSPECIFIED\x10\x00\x12\x16\n\x12GROUP_TYPE_GROUPBY\x10\x01\x12\x15\n\x11GROUP_TYPE_ROLLUP\x10\x02\x12\x13\n\x0fGROUP_TYPE_CUBE\x10\x03\x12\x14\n\x10GROUP_TYPE_PIVOT\x10\x04"\xa0\x01\n\x04Sort\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x05order\x18\x02 \x03(\x0b\x32#.spark.connect.Expression.SortOrderR\x05order\x12 \n\tis_global\x18\x03 \x01(\x08H\x00R\x08isGlobal\x88\x01\x01\x42\x0c\n\n_is_global"\x8d\x01\n\x04\x44rop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x33\n\x07\x63olumns\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07\x63olumns\x12!\n\x0c\x63olumn_names\x18\x03 \x03(\tR\x0b\x63olumnNames"\xf0\x01\n\x0b\x44\x65\x64uplicate\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames\x12\x32\n\x13\x61ll_columns_as_keys\x18\x03 \x01(\x08H\x00R\x10\x61llColumnsAsKeys\x88\x01\x01\x12.\n\x10within_watermark\x18\x04 \x01(\x08H\x01R\x0fwithinWatermark\x88\x01\x01\x42\x16\n\x14_all_columns_as_keysB\x13\n\x11_within_watermark"Y\n\rLocalRelation\x12\x17\n\x04\x64\x61ta\x18\x01 \x01(\x0cH\x00R\x04\x64\x61ta\x88\x01\x01\x12\x1b\n\x06schema\x18\x02 \x01(\tH\x01R\x06schema\x88\x01\x01\x42\x07\n\x05_dataB\t\n\x07_schema"_\n\x13\x43\x61\x63hedLocalRelation\x12\x16\n\x06userId\x18\x01 \x01(\tR\x06userId\x12\x1c\n\tsessionId\x18\x02 \x01(\tR\tsessionId\x12\x12\n\x04hash\x18\x03 \x01(\tR\x04hash"7\n\x14\x43\x61\x63hedRemoteRelation\x12\x1f\n\x0brelation_id\x18\x01 \x01(\tR\nrelationId"\x91\x02\n\x06Sample\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1f\n\x0blower_bound\x18\x02 \x01(\x01R\nlowerBound\x12\x1f\n\x0bupper_bound\x18\x03 \x01(\x01R\nupperBound\x12.\n\x10with_replacement\x18\x04 \x01(\x08H\x00R\x0fwithReplacement\x88\x01\x01\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x01R\x04seed\x88\x01\x01\x12/\n\x13\x64\x65terministic_order\x18\x06 \x01(\x08R\x12\x64\x65terministicOrderB\x13\n\x11_with_replacementB\x07\n\x05_seed"\x91\x01\n\x05Range\x12\x19\n\x05start\x18\x01 \x01(\x03H\x00R\x05start\x88\x01\x01\x12\x10\n\x03\x65nd\x18\x02 \x01(\x03R\x03\x65nd\x12\x12\n\x04step\x18\x03 \x01(\x03R\x04step\x12*\n\x0enum_partitions\x18\x04 \x01(\x05H\x01R\rnumPartitions\x88\x01\x01\x42\x08\n\x06_startB\x11\n\x0f_num_partitions"r\n\rSubqueryAlias\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x14\n\x05\x61lias\x18\x02 \x01(\tR\x05\x61lias\x12\x1c\n\tqualifier\x18\x03 \x03(\tR\tqualifier"\x8e\x01\n\x0bRepartition\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12%\n\x0enum_partitions\x18\x02 \x01(\x05R\rnumPartitions\x12\x1d\n\x07shuffle\x18\x03 \x01(\x08H\x00R\x07shuffle\x88\x01\x01\x42\n\n\x08_shuffle"\x8e\x01\n\nShowString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate\x12\x1a\n\x08vertical\x18\x04 \x01(\x08R\x08vertical"r\n\nHtmlString\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x19\n\x08num_rows\x18\x02 \x01(\x05R\x07numRows\x12\x1a\n\x08truncate\x18\x03 \x01(\x05R\x08truncate"\\\n\x0bStatSummary\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1e\n\nstatistics\x18\x02 \x03(\tR\nstatistics"Q\n\x0cStatDescribe\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols"e\n\x0cStatCrosstab\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"`\n\x07StatCov\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2"\x89\x01\n\x08StatCorr\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ol1\x18\x02 \x01(\tR\x04\x63ol1\x12\x12\n\x04\x63ol2\x18\x03 \x01(\tR\x04\x63ol2\x12\x1b\n\x06method\x18\x04 \x01(\tH\x00R\x06method\x88\x01\x01\x42\t\n\x07_method"\xa4\x01\n\x12StatApproxQuantile\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12$\n\rprobabilities\x18\x03 \x03(\x01R\rprobabilities\x12%\n\x0erelative_error\x18\x04 \x01(\x01R\rrelativeError"}\n\rStatFreqItems\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x1d\n\x07support\x18\x03 \x01(\x01H\x00R\x07support\x88\x01\x01\x42\n\n\x08_support"\xb5\x02\n\x0cStatSampleBy\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03\x63ol\x18\x02 \x01(\x0b\x32\x19.spark.connect.ExpressionR\x03\x63ol\x12\x42\n\tfractions\x18\x03 \x03(\x0b\x32$.spark.connect.StatSampleBy.FractionR\tfractions\x12\x17\n\x04seed\x18\x05 \x01(\x03H\x00R\x04seed\x88\x01\x01\x1a\x63\n\x08\x46raction\x12;\n\x07stratum\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x07stratum\x12\x1a\n\x08\x66raction\x18\x02 \x01(\x01R\x08\x66ractionB\x07\n\x05_seed"\x86\x01\n\x06NAFill\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\x39\n\x06values\x18\x03 \x03(\x0b\x32!.spark.connect.Expression.LiteralR\x06values"\x86\x01\n\x06NADrop\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12\'\n\rmin_non_nulls\x18\x03 \x01(\x05H\x00R\x0bminNonNulls\x88\x01\x01\x42\x10\n\x0e_min_non_nulls"\xa8\x02\n\tNAReplace\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04\x63ols\x18\x02 \x03(\tR\x04\x63ols\x12H\n\x0creplacements\x18\x03 \x03(\x0b\x32$.spark.connect.NAReplace.ReplacementR\x0creplacements\x1a\x8d\x01\n\x0bReplacement\x12>\n\told_value\x18\x01 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08oldValue\x12>\n\tnew_value\x18\x02 \x01(\x0b\x32!.spark.connect.Expression.LiteralR\x08newValue"X\n\x04ToDF\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12!\n\x0c\x63olumn_names\x18\x02 \x03(\tR\x0b\x63olumnNames"\xef\x01\n\x12WithColumnsRenamed\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x65\n\x12rename_columns_map\x18\x02 \x03(\x0b\x32\x37.spark.connect.WithColumnsRenamed.RenameColumnsMapEntryR\x10renameColumnsMap\x1a\x43\n\x15RenameColumnsMapEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"w\n\x0bWithColumns\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x39\n\x07\x61liases\x18\x02 \x03(\x0b\x32\x1f.spark.connect.Expression.AliasR\x07\x61liases"\x86\x01\n\rWithWatermark\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x1d\n\nevent_time\x18\x02 \x01(\tR\teventTime\x12\'\n\x0f\x64\x65lay_threshold\x18\x03 \x01(\tR\x0e\x64\x65layThreshold"\x84\x01\n\x04Hint\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x39\n\nparameters\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\nparameters"\xc7\x02\n\x07Unpivot\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12+\n\x03ids\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x03ids\x12:\n\x06values\x18\x03 \x01(\x0b\x32\x1d.spark.connect.Unpivot.ValuesH\x00R\x06values\x88\x01\x01\x12\x30\n\x14variable_column_name\x18\x04 \x01(\tR\x12variableColumnName\x12*\n\x11value_column_name\x18\x05 \x01(\tR\x0fvalueColumnName\x1a;\n\x06Values\x12\x31\n\x06values\x18\x01 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x06valuesB\t\n\x07_values"j\n\x08ToSchema\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12/\n\x06schema\x18\x02 \x01(\x0b\x32\x17.spark.connect.DataTypeR\x06schema"\xcb\x01\n\x17RepartitionByExpression\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x0fpartition_exprs\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x0epartitionExprs\x12*\n\x0enum_partitions\x18\x03 \x01(\x05H\x00R\rnumPartitions\x88\x01\x01\x42\x11\n\x0f_num_partitions"\xb5\x01\n\rMapPartitions\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x42\n\x04\x66unc\x18\x02 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12"\n\nis_barrier\x18\x03 \x01(\x08H\x00R\tisBarrier\x88\x01\x01\x42\r\n\x0b_is_barrier"\x97\x02\n\x08GroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12J\n\x13sorting_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x12sortingExpressions"\x8e\x04\n\nCoGroupMap\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12W\n\x1ainput_grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18inputGroupingExpressions\x12-\n\x05other\x18\x03 \x01(\x0b\x32\x17.spark.connect.RelationR\x05other\x12W\n\x1aother_grouping_expressions\x18\x04 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x18otherGroupingExpressions\x12\x42\n\x04\x66unc\x18\x05 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12U\n\x19input_sorting_expressions\x18\x06 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17inputSortingExpressions\x12U\n\x19other_sorting_expressions\x18\x07 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x17otherSortingExpressions"\xe5\x02\n\x16\x41pplyInPandasWithState\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12L\n\x14grouping_expressions\x18\x02 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x13groupingExpressions\x12\x42\n\x04\x66unc\x18\x03 \x01(\x0b\x32..spark.connect.CommonInlineUserDefinedFunctionR\x04\x66unc\x12#\n\routput_schema\x18\x04 \x01(\tR\x0coutputSchema\x12!\n\x0cstate_schema\x18\x05 \x01(\tR\x0bstateSchema\x12\x1f\n\x0boutput_mode\x18\x06 \x01(\tR\noutputMode\x12!\n\x0ctimeout_conf\x18\x07 \x01(\tR\x0btimeoutConf"\x88\x01\n\x0e\x43ollectMetrics\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x12\n\x04name\x18\x02 \x01(\tR\x04name\x12\x33\n\x07metrics\x18\x03 \x03(\x0b\x32\x19.spark.connect.ExpressionR\x07metrics"\x84\x03\n\x05Parse\x12-\n\x05input\x18\x01 \x01(\x0b\x32\x17.spark.connect.RelationR\x05input\x12\x38\n\x06\x66ormat\x18\x02 \x01(\x0e\x32 .spark.connect.Parse.ParseFormatR\x06\x66ormat\x12\x34\n\x06schema\x18\x03 \x01(\x0b\x32\x17.spark.connect.DataTypeH\x00R\x06schema\x88\x01\x01\x12;\n\x07options\x18\x04 \x03(\x0b\x32!.spark.connect.Parse.OptionsEntryR\x07options\x1a:\n\x0cOptionsEntry\x12\x10\n\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n\x05value\x18\x02 \x01(\tR\x05value:\x02\x38\x01"X\n\x0bParseFormat\x12\x1c\n\x18PARSE_FORMAT_UNSPECIFIED\x10\x00\x12\x14\n\x10PARSE_FORMAT_CSV\x10\x01\x12\x15\n\x11PARSE_FORMAT_JSON\x10\x02\x42\t\n\x07_schemaB6\n\x1eorg.apache.spark.connect.protoP\x01Z\x12internal/generatedb\x06proto3' ) From ef6223843d15568d3ebc8039f3815326ce1efb71 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Thu, 15 Jun 2023 13:57:11 -0700 Subject: [PATCH 08/15] incomplete discard --- .../sql/connect/planner/SparkConnectPlanner.scala | 11 ++++++----- .../connect/service/SparkConnectAnalyzeHandler.scala | 2 +- python/pyspark/sql/connect/plan.py | 2 +- 3 files changed, 8 insertions(+), 7 deletions(-) diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala index 4bc994cf8044..7abfce59a4e9 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala @@ -79,7 +79,10 @@ final case class InvalidCommandInput( private val cause: Throwable = null) extends Exception(message, cause) -class SparkConnectPlanner(val session: SparkSession) extends Logging { +class SparkConnectPlanner private (val session: SparkSession) extends Logging { + + def this(sessionHolder: SessionHolder) = this(sessionHolder.session) + private lazy val pythonExec = sys.env.getOrElse("PYSPARK_PYTHON", sys.env.getOrElse("PYSPARK_DRIVER_PYTHON", "python3")) @@ -146,7 +149,7 @@ class SparkConnectPlanner(val session: SparkSession) extends Logging { case proto.Relation.RelTypeCase.APPLY_IN_PANDAS_WITH_STATE => transformApplyInPandasWithState(rel.getApplyInPandasWithState) case proto.Relation.RelTypeCase.CACHED_REMOTE_RELATION => - transformCachedRemoteRelation(session, rel.getCachedRemoteRelation) + transformCachedRemoteRelation(rel.getCachedRemoteRelation) case proto.Relation.RelTypeCase.COLLECT_METRICS => transformCollectMetrics(rel.getCollectMetrics) case proto.Relation.RelTypeCase.PARSE => transformParse(rel.getParse) @@ -790,9 +793,7 @@ class SparkConnectPlanner(val session: SparkSession) extends Logging { .logicalPlan } - private def transformCachedRemoteRelation( - session: SparkSession, - rel: proto.CachedRemoteRelation): LogicalPlan = { + private def transformCachedRemoteRelation(rel: proto.CachedRemoteRelation): LogicalPlan = { SparkConnectService.cachedDataFrameManager .get(session, rel.getRelationId) .logicalPlan diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectAnalyzeHandler.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectAnalyzeHandler.scala index 034644f5765a..d9c4c02cb2a5 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectAnalyzeHandler.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectAnalyzeHandler.scala @@ -49,7 +49,7 @@ private[connect] class SparkConnectAnalyzeHandler( def process( request: proto.AnalyzePlanRequest, session: SparkSession): proto.AnalyzePlanResponse = { - lazy val planner = new SparkConnectPlanner(session) + lazy val planner = new SparkConnectPlanner(sessionHolder) val builder = proto.AnalyzePlanResponse.newBuilder() request.getAnalyzeCase match { diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py index f14f73d5f416..0677c6a858ee 100644 --- a/python/pyspark/sql/connect/plan.py +++ b/python/pyspark/sql/connect/plan.py @@ -561,7 +561,7 @@ def __init__(self, relationId: str): def plan(self, session: "SparkConnectClient") -> proto.Relation: plan = self._create_proto_relation() - plan.cached_remote_relation.relationId = self._relationId + plan.cached_remote_relation.relation_id = self._relationId return plan From 74b98ca7038cc83819bfe06aa640c5b4869be232 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 27 Jun 2023 00:11:53 -0700 Subject: [PATCH 09/15] minor --- .../connect/planner/SparkConnectPlanner.scala | 4 +-- .../sql/connect/service/SessionHolder.scala | 28 +++++++++++++++++++ .../connect/service/SparkConnectService.scala | 3 -- 3 files changed, 30 insertions(+), 5 deletions(-) diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala index 70e1c6e9aa8f..b2c66ee4cf0c 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala @@ -794,8 +794,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging { } private def transformCachedRemoteRelation(rel: proto.CachedRemoteRelation): LogicalPlan = { - SparkConnectService.cachedDataFrameManager - .get(session, rel.getRelationId) + sessionHolder + .getDataFrameOrThrow(rel.getRelationId) .logicalPlan } diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala index cc2327abb5cd..f061f8a58dfe 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala @@ -25,7 +25,9 @@ import scala.util.control.NonFatal import org.apache.spark.connect.proto import org.apache.spark.internal.Logging +import org.apache.spark.sql.DataFrame import org.apache.spark.sql.SparkSession +import org.apache.spark.sql.connect.common.InvalidPlanInput /** * Object used to hold the Spark Connect session state. @@ -36,6 +38,10 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio val executePlanOperations: ConcurrentMap[String, ExecutePlanHolder] = new ConcurrentHashMap[String, ExecutePlanHolder]() + // Mapping from relation ID (passed to client) to runtime dataframe. Used for callbacks like + // foreachBatch() in Streaming. Lazy since most sessions don't need it. + private lazy val dataFrameCache: ConcurrentMap[String, DataFrame] = new ConcurrentHashMap() + private[connect] def createExecutePlanHolder( request: proto.ExecutePlanRequest): ExecutePlanHolder = { @@ -60,6 +66,28 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio } } } + + /** + * Caches given DataFrame with the ID. The cache does not expire. The entry needs to be + * explicitly removed by the owners of the DataFrame once it is not needed. + */ + private[connect] def cacheDataFrameById(dfId: String, df: DataFrame): Unit = { + if (dataFrameCache.putIfAbsent(dfId, df) != null) { + throw new IllegalArgumentException(s"A dataframe is already associated with id $dfId") + } + } + + private[connect] def getDataFrameOrThrow(dfId: String): DataFrame = { + Option(dataFrameCache.get()) + .getOrElse { + throw InvalidPlanInput( + s"No DataFrame with id $dfId is found in the session $sessionId") + } + } + + private[connect] def removeCachedDataFrame(dfId: String): DataFrame = { + dataFrameCache.remove(dfId) + } } object SessionHolder { diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala index 665e42c0035a..c1647fd85a05 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectService.scala @@ -298,15 +298,12 @@ object SparkConnectService { userSessionMapping.getIfPresent((userId, sessionId)) }) - private[connect] val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() - private class RemoveSessionListener extends RemovalListener[SessionCacheKey, SessionHolder] { override def onRemoval( notification: RemovalNotification[SessionCacheKey, SessionHolder]): Unit = { val SessionHolder(userId, sessionId, session) = notification.getValue val blockManager = session.sparkContext.env.blockManager blockManager.removeCache(userId, sessionId) - cachedDataFrameManager.remove(session) } } From bb2ad33136625d6264432b6e0ee52ddc01cbcd74 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 27 Jun 2023 15:27:03 -0700 Subject: [PATCH 10/15] SessionHodler tests --- ...a => SparkConnectSessionHodlerSuite.scala} | 54 +++++++++---------- 1 file changed, 24 insertions(+), 30 deletions(-) rename connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/{SparkConnectCachedDataFrameManagerSuite.scala => SparkConnectSessionHodlerSuite.scala} (56%) diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManagerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala similarity index 56% rename from connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManagerSuite.scala rename to connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala index 87b4ee7b6d8e..e5138e8e3e4e 100644 --- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManagerSuite.scala +++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala @@ -20,69 +20,63 @@ package org.apache.spark.sql.connect.service import org.apache.spark.sql.connect.common.InvalidPlanInput import org.apache.spark.sql.test.SharedSparkSession -class SparkConnectCachedDataFrameManagerSuite extends SharedSparkSession { +class SparkConnectSessionHolderSuite extends SharedSparkSession { - test("Successful put and get") { - val spark = this.spark - import spark.implicits._ + test("DataFrame cache: Successful put and get") { + val sessionHolder = SessionHolder.forTesting(spark) + import sessionHolder.session.implicits._ - val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() - - val key1 = "key_1" val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3")) val df1 = data1.toDF() - cachedDataFrameManager.put(spark, key1, df1) + val id1 = "df_id_1" + sessionHolder.cacheDataFrameById(id1, df1) - val expectedDf1 = cachedDataFrameManager.get(spark, key1) + val expectedDf1 = sessionHolder.getDataFrameOrThrow(id1) assert(expectedDf1 == df1) - val key2 = "key_2" val data2 = Seq(("k4", "v4"), ("k5", "v5")) val df2 = data2.toDF() - cachedDataFrameManager.put(spark, key2, df2) + val id2 = "df_id_2" + sessionHolder.cacheDataFrameById(id2, df2) - val expectedDf2 = cachedDataFrameManager.get(spark, key2) + val expectedDf2 = sessionHolder.getDataFrameOrThrow(id2) assert(expectedDf2 == df2) } - test("Get cache that does not exist should fail") { - val spark = this.spark - import spark.implicits._ - - val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() + test("DataFrame cache: should throw when dataframe is not found") { + val sessionHolder = SessionHolder.forTesting(spark) + import sessionHolder.session.implicits._ val key1 = "key_1" assertThrows[InvalidPlanInput] { - cachedDataFrameManager.get(spark, key1) + sessionHolder.getDataFrameOrThrow(key1) } val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3")) val df1 = data1.toDF() - cachedDataFrameManager.put(spark, key1, df1) - cachedDataFrameManager.get(spark, key1) + sessionHolder.cacheDataFrameById(key1, df1) + sessionHolder.getDataFrameOrThrow(key1) val key2 = "key_2" assertThrows[InvalidPlanInput] { - cachedDataFrameManager.get(spark, key2) + sessionHolder.getDataFrameOrThrow(key2) } } - test("Remove cache and then get should fail") { - val spark = this.spark - import spark.implicits._ - - val cachedDataFrameManager = new SparkConnectCachedDataFrameManager() + test("DataFrame cache: Remove cache and then get should fail") { + val sessionHolder = SessionHolder.forTesting(spark) + import sessionHolder.session.implicits._ val key1 = "key_1" val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3")) val df1 = data1.toDF() - cachedDataFrameManager.put(spark, key1, df1) - cachedDataFrameManager.get(spark, key1) + sessionHolder.cacheDataFrameById(key1, df1) + sessionHolder.getDataFrameOrThrow(key1) - cachedDataFrameManager.remove(spark) + sessionHolder.removeCachedDataFrame(key1) assertThrows[InvalidPlanInput] { - cachedDataFrameManager.get(spark, key1) + sessionHolder.getDataFrameOrThrow(key1) } } } From 5af56c982faaea0152c27d478cd960bd3235f5f3 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 27 Jun 2023 16:16:28 -0700 Subject: [PATCH 11/15] update tests --- .../org/apache/spark/sql/connect/service/SessionHolder.scala | 2 +- .../sql/connect/service/SparkConnectSessionHodlerSuite.scala | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala index ba2bfb961444..edea75b6583a 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala @@ -185,7 +185,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio * If it is not found, throw [[InvalidPlanInput]]. */ private[connect] def getDataFrameOrThrow(dfId: String): DataFrame = { - Option(dataFrameCache.get()) + Option(dataFrameCache.get(dfId)) .getOrElse { throw InvalidPlanInput( s"No DataFrame with id $dfId is found in the session $sessionId") diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala index e5138e8e3e4e..51b788868198 100644 --- a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala +++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala @@ -43,7 +43,7 @@ class SparkConnectSessionHolderSuite extends SharedSparkSession { assert(expectedDf2 == df2) } - test("DataFrame cache: should throw when dataframe is not found") { + test("DataFrame cache: Should throw when dataframe is not found") { val sessionHolder = SessionHolder.forTesting(spark) import sessionHolder.session.implicits._ From 5c0c2dee9d8a4cd7204570d6175dc8272ca8fc46 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 27 Jun 2023 16:19:19 -0700 Subject: [PATCH 12/15] remove cache manager --- .../SparkConnectCachedDataFrameManager.scala | 63 ------------------- 1 file changed, 63 deletions(-) delete mode 100644 connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala deleted file mode 100644 index 1564d718c7e2..000000000000 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala +++ /dev/null @@ -1,63 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one or more - * contributor license agreements. See the NOTICE file distributed with - * this work for additional information regarding copyright ownership. - * The ASF licenses this file to You under the Apache License, Version 2.0 - * (the "License"); you may not use this file except in compliance with - * the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -package org.apache.spark.sql.connect.service - -import javax.annotation.concurrent.GuardedBy - -import scala.collection.mutable - -import org.apache.spark.sql.DataFrame -import org.apache.spark.sql.SparkSession -import org.apache.spark.sql.connect.common.InvalidPlanInput - -/** - * This class caches DataFrame on the server side with given ids. The Spark Connect client can - * create a DataFrame reference with the id. When server transforms the DataFrame reference, it - * finds the DataFrame from the cache and replace the reference. - * - * Each session has a corresponding DataFrame map. A cached DataFrame can only be accessed from - * within the same session. The DataFrame will be removed from the cache by the owner (e.g. - * Streaming query) or when the session expires. - */ -private[sql] class SparkConnectCachedDataFrameManager { - - // Session.sessionUUID -> Map[DF Reference ID -> DF] - @GuardedBy("this") - private val dataFrameCache = mutable.Map[String, mutable.Map[String, DataFrame]]() - - def put(session: SparkSession, dataFrameId: String, value: DataFrame): Unit = synchronized { - dataFrameCache - .getOrElseUpdate(session.sessionUUID, mutable.Map[String, DataFrame]()) - .put(dataFrameId, value) - } - - def get(session: SparkSession, dataFrameId: String): DataFrame = synchronized { - val sessionKey = session.sessionUUID - dataFrameCache - .get(sessionKey) - .flatMap(_.get(dataFrameId)) - .getOrElse { - throw InvalidPlanInput( - s"No DataFrame found in the server for id $dataFrameId in the session $sessionKey") - } - } - - def remove(session: SparkSession): Unit = synchronized { - dataFrameCache.remove(session.sessionUUID) - } -} From 6dca3e6a6975966dc732058c8d72d6e4baabe85d Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Tue, 27 Jun 2023 23:36:41 -0700 Subject: [PATCH 13/15] scalafmt --- .../apache/spark/sql/connect/service/SessionHolder.scala | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala index edea75b6583a..04d529f24f1c 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala @@ -181,14 +181,13 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio } /** - * Returns [[DataFrame]] cached for DataFrame ID `dfId`. - * If it is not found, throw [[InvalidPlanInput]]. + * Returns [[DataFrame]] cached for DataFrame ID `dfId`. If it is not found, throw + * [[InvalidPlanInput]]. */ private[connect] def getDataFrameOrThrow(dfId: String): DataFrame = { Option(dataFrameCache.get(dfId)) .getOrElse { - throw InvalidPlanInput( - s"No DataFrame with id $dfId is found in the session $sessionId") + throw InvalidPlanInput(s"No DataFrame with id $dfId is found in the session $sessionId") } } From 8de5197d78ccb28e44ce91e51fa3a0b3e2b53851 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Wed, 28 Jun 2023 07:06:42 -0700 Subject: [PATCH 14/15] retrigger From dbca79803ebe7e1b902e178dbd7d5482d2ecd394 Mon Sep 17 00:00:00 2001 From: Raghu Angadi Date: Wed, 28 Jun 2023 11:03:08 -0700 Subject: [PATCH 15/15] Use internalError --- .../org/apache/spark/sql/connect/service/SessionHolder.scala | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala index 04d529f24f1c..24502fccd963 100644 --- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala +++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala @@ -28,6 +28,7 @@ import org.json4s.JsonDSL._ import org.json4s.jackson.JsonMethods.{compact, render} import org.apache.spark.JobArtifactSet +import org.apache.spark.SparkException import org.apache.spark.connect.proto import org.apache.spark.internal.Logging import org.apache.spark.sql.DataFrame @@ -176,7 +177,7 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio */ private[connect] def cacheDataFrameById(dfId: String, df: DataFrame): Unit = { if (dataFrameCache.putIfAbsent(dfId, df) != null) { - throw new IllegalArgumentException(s"A dataframe is already associated with id $dfId") + SparkException.internalError(s"A dataframe is already associated with id $dfId") } }