[SPARK-13237] [SQL] generated broadcast outer join by davies · Pull Request #11130 · apache/spark

davies · 2016-02-09T07:40:56Z

This PR support codegen for broadcast outer join.

In order to reduce the duplicated codes, this PR merge HashJoin and HashOuterJoin together (also BroadcastHashJoin and BroadcastHashOuterJoin).

SparkQA · 2016-02-09T08:02:54Z

Test build #50961 has finished for PR 11130 at commit 52efe91.

This patch fails Scala style tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2016-02-09T17:58:04Z

Test build #2527 has finished for PR 11130 at commit 52efe91.

This patch fails Scala style tests.
This patch merges cleanly.
This patch adds no public classes.

davies · 2016-02-09T18:14:23Z

For query:

val dim = broadcast(sqlContext.range(1 << 16).selectExpr("id as k", "cast(id as string) as v"))
sqlContext.range(N).join(dim, (col("id") % 60000) === col("k"), "left").count()

will generate:

/* 001 */
/* 002 */ public Object generate(Object[] references) {
/* 003 */   return new GeneratedIterator(references);
/* 004 */ }
/* 005 */
/* 006 */ class GeneratedIterator extends org.apache.spark.sql.execution.BufferedRowIterator {
/* 007 */
/* 008 */   private Object[] references;
/* 009 */   private boolean agg_initAgg;
/* 010 */   private boolean agg_bufIsNull;
/* 011 */   private long agg_bufValue;
/* 012 */   private org.apache.spark.broadcast.TorrentBroadcast join_broadcast;
/* 013 */   private org.apache.spark.sql.execution.joins.LongArrayRelation join_relation;
/* 014 */   private boolean range_initRange;
/* 015 */   private long range_partitionEnd;
/* 016 */   private long range_number;
/* 017 */   private boolean range_overflow;
/* 018 */   private UnsafeRow agg_result;
/* 019 */   private org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder agg_holder;
/* 020 */   private org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter agg_rowWriter;
/* 021 */
/* 022 */   public GeneratedIterator(Object[] references) {
/* 023 */     this.references = references;
/* 024 */     agg_initAgg = false;
/* 025 */
/* 026 */
/* 027 */     this.join_broadcast = (org.apache.spark.broadcast.TorrentBroadcast) references[0];
/* 028 */
/* 029 */     join_relation = (org.apache.spark.sql.execution.joins.LongArrayRelation) join_broadcast.value();
/* 030 */     incPeakExecutionMemory(join_relation.getMemorySize());
/* 031 */
/* 032 */     range_initRange = false;
/* 033 */     range_partitionEnd = 0L;
/* 034 */     range_number = 0L;
/* 035 */     range_overflow = false;
/* 036 */     agg_result = new UnsafeRow(1);
/* 037 */     this.agg_holder = new org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder(agg_result, 0);
/* 038 */     this.agg_rowWriter = new org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter(agg_holder, 1);
/* 039 */   }
/* 042 */   private void agg_doAggregateWithoutKey() throws java.io.IOException {
/* 043 */     // initialize aggregation buffer
/* 044 */
/* 045 */     agg_bufIsNull = false;
/* 046 */     agg_bufValue = 0L;
/* 051 */     // initialize Range
/* 052 */     if (!range_initRange) {
/* 053 */       range_initRange = true;
/* 054 */       if (input.hasNext()) {
/* 055 */         initRange(((InternalRow) input.next()).getInt(0));
/* 056 */       } else {
/* 057 */         return;
/* 058 */       }
/* 059 */     }
/* 060 */
/* 061 */     while (!range_overflow && range_number < range_partitionEnd) {
/* 062 */       long range_value = range_number;
/* 063 */       range_number += 1L;
/* 064 */       if (range_number < range_value ^ 1L < 0) {
/* 065 */         range_overflow = true;
/* 066 */       }
/* 067 */
/* 068 */       // generate join key
/* 069 */       /* (input[0, bigint] % 60000) */
/* 070 */       boolean join_isNull = false;
/* 071 */       long join_value = -1L;
/* 072 */       if (false || 60000L == 0) {
/* 073 */         join_isNull = true;
/* 074 */       } else {
/* 076 */         if (false) {
/* 077 */           join_isNull = true;
/* 078 */         } else {
/* 079 */           join_value = (long)(range_value % 60000L);
/* 080 */         }
/* 081 */       }
/* 082 */       // find matches from HashedRelation
/* 083 */       UnsafeRow join_matched = join_isNull ? null: (UnsafeRow)join_relation.getValue(join_value);
/* 084 */
/* 085 */       boolean join_isNull4 = true;
/* 086 */       long join_value4 = -1L;
/* 087 */       if (join_matched != null) {
/* 088 */         /* input[0, bigint] */
/* 089 */         long join_value3 = join_matched.getLong(0);
/* 090 */         join_isNull4 = false;
/* 091 */         join_value4 = join_value3;
/* 092 */       }
/* 093 */
/* 094 */       final boolean join_invalid = true;
/* 095 */       if (!join_invalid) {
/* 096 */         // reset to null
/* 097 */         join_isNull4 = true;
/* 098 */       }
/* 103 */       // do aggregate
/* 104 */       /* (input[0, bigint] + 1) */
/* 105 */       long agg_value1 = -1L;
/* 106 */       agg_value1 = agg_bufValue + 1L;
/* 107 */       // update aggregation buffer
/* 108 */       agg_bufIsNull = false;
/* 109 */       agg_bufValue = agg_value1;
/* 114 */       if (shouldStop()) return;
/* 115 */     }
/* 118 */   }
/* 121 */   private void initRange(int idx) {
/* 146 */   }
/* 149 */   protected void processNext() throws java.io.IOException {
/* 150 */     if (!agg_initAgg) {
/* 151 */       agg_initAgg = true;
/* 152 */       agg_doAggregateWithoutKey();
/* 153 */
/* 154 */       // output the result
/* 157 */       agg_rowWriter.zeroOutNullBytes();
/* 160 */       if (agg_bufIsNull) {
/* 161 */         agg_rowWriter.setNullAt(0);
/* 162 */       } else {
/* 163 */         agg_rowWriter.write(0, agg_bufValue);
/* 164 */       }
/* 165 */       currentRows.add(agg_result.copy());
/* 166 */     }
/* 167 */   }
/* 168 */ }
/* 169 */

SparkQA · 2016-02-09T19:40:55Z

Test build #50982 has finished for PR 11130 at commit 9a1f532.

This patch fails Spark unit tests.
This patch merges cleanly.
This patch adds no public classes.

nongli · 2016-02-10T00:28:27Z

sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoin.scala

this is confusing.

perhaps renamed to passesFilters or something like that.

nongli · 2016-02-10T00:40:17Z

I still see initRange() being generated as an empty function. Do we still need this?

davies · 2016-02-10T00:45:42Z

@nongli I removed that manually

SparkQA · 2016-02-10T02:10:53Z

Test build #2528 has finished for PR 11130 at commit edbc284.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2016-02-10T22:21:19Z

Test build #2531 has finished for PR 11130 at commit da45df1.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

davies · 2016-02-11T05:32:50Z

@nongli Could you take another look?

Conflicts: sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegen.scala sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoin.scala sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashOuterJoin.scala sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala

SparkQA · 2016-02-12T20:11:19Z

Test build #51194 has finished for PR 11130 at commit 9b05c7c.

This patch passes all tests.
This patch merges cleanly.
This patch adds the following public classes (experimental):
- class KMeansModel(JavaModel, MLWritable, MLReadable):
- class KMeans(JavaEstimator, HasFeaturesCol, HasPredictionCol, HasMaxIter, HasTol, HasSeed,
- class BisectingKMeansModel(JavaModel):
- class BisectingKMeans(JavaEstimator, HasFeaturesCol, HasPredictionCol, HasMaxIter, HasSeed):
- class ALS(JavaEstimator, HasCheckpointInterval, HasMaxIter, HasPredictionCol, HasRegParam, HasSeed,
- class ALSModel(JavaModel, MLWritable, MLReadable):
- case class Grouping(child: Expression) extends Expression with Unevaluable
- case class GroupingID(groupByExprs: Seq[Expression]) extends Expression with Unevaluable
- class ContinuousQueryManager(sqlContext: SQLContext)
- class ContinuousQueryListenerBus(sparkListenerBus: LiveListenerBus)
- class FileStreamSource(
- trait HadoopFsRelationProvider extends StreamSourceProvider
- abstract class ContinuousQueryListener

davies · 2016-02-12T22:48:53Z

cc @rxin

rxin · 2016-02-14T05:52:54Z

sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoin.scala

nitpick

streamedIter.flatMap { currentRow => // ... }

These are copied and pasted here, usually don't modify them to reduce the budget of review.

Sure. Thanks for being considerate. Can you just fix them while you are at it now?

Sure, will do it when update this PR.

rxin · 2016-02-14T06:28:53Z

sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashJoin.scala

generate join key -> generate join key for stream side

SparkQA · 2016-02-16T01:36:41Z

Test build #51329 has finished for PR 11130 at commit 5724180.

This patch fails Scala style tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2016-02-16T03:17:03Z

Test build #51333 has finished for PR 11130 at commit 5744941.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

davies · 2016-02-16T08:16:14Z

ping @rxin

davies · 2016-02-18T23:14:47Z

@rxin @nongli I'm merging this to unblock other codegen/exchange/join work, please take a final look on this, any comments will be addressed by follow-up RPs.

generated broadcast outer join

52efe91

davies force-pushed the gen_out branch from 9c09b6c to 52efe91 Compare February 9, 2016 07:43

Davies Liu added 3 commits February 9, 2016 10:18

refactor

9525782

fix style

9a1f532

Merge branch 'master' into gen_out

98cda0b

fix tests

edbc284

nongli reviewed Feb 10, 2016
View reviewed changes

address comments

da45df1

fix worst case of broadcast join with two ints

1c0ee96

davies mentioned this pull request Feb 12, 2016

[SPARK-13304] [SQL] Fix worst case of broadcast join of two ints #11188

Closed

rxin reviewed Feb 14, 2016
View reviewed changes

add more comments

5724180

fix style

5744941

asfgit closed this in 95e1ab2 Feb 18, 2016

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