[SPARK-25530][SQL] data source v2 API refactor (batch write)

sql/core/src/main/java/org/apache/spark/sql/sources/v2/DataSourceV2.java

@@ -20,15 +20,7 @@
 import org.apache.spark.annotation.Evolving;
 
 /**
- * The base interface for data source v2. Implementations must have a public, 0-arg constructor.
- *
- * Note that this is an empty interface. Data source implementations must mix in interfaces such as
- * {@link BatchReadSupportProvider} or {@link BatchWriteSupportProvider}, which can provide
- * batch or streaming read/write support instances. Otherwise it's just a dummy data source which
- * is un-readable/writable.
- *
- * If Spark fails to execute any methods in the implementations of this interface (by throwing an
- * exception), the read action will fail and no Spark job will be submitted.
+ * TODO: remove it when we finish the API refactor for streaming side.
  */
 @Evolving
 public interface DataSourceV2 {}

sql/core/src/main/java/org/apache/spark/sql/sources/v2/SupportsBatchWrite.java

@@ -0,0 +1,32 @@
+/*
+ * 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.sources.v2;
+
+import org.apache.spark.annotation.Evolving;
+import org.apache.spark.sql.sources.v2.writer.WriteBuilder;
+
+/**
+ * An empty mix-in interface for {@link Table}, to indicate this table supports batch write.
+ * <p>
+ * If a {@link Table} implements this interface, the
+ * {@link SupportsWrite#newWriteBuilder(DataSourceOptions)}  must return a {@link WriteBuilder}
+ * with {@link WriteBuilder#buildForBatch()} implemented.
+ * </p>
+ */
+@Evolving
+public interface SupportsBatchWrite extends SupportsWrite {}

sql/core/src/main/java/org/apache/spark/sql/sources/v2/SupportsRead.java

@@ -29,7 +29,10 @@ interface SupportsRead extends Table {
 
   /**
    * Returns a {@link ScanBuilder} which can be used to build a {@link Scan}. Spark will call this
-   * method to configure each scan.
+   * method to configure each data source scan.
+   *
+   * @param options The options for reading, which is an immutable case-insensitive
+   *                string-to-string map.
    */
   ScanBuilder newScanBuilder(DataSourceOptions options);
 }

sql/core/src/main/java/org/apache/spark/sql/sources/v2/SupportsWrite.java

@@ -0,0 +1,35 @@
+/*
+ * 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.sources.v2;
+
+import org.apache.spark.sql.sources.v2.writer.BatchWrite;
+import org.apache.spark.sql.sources.v2.writer.WriteBuilder;
+
+/**
+ * An internal base interface of mix-in interfaces for writable {@link Table}. This adds
+ * {@link #newWriteBuilder(DataSourceOptions)} that is used to create a write
+ * for batch or streaming.
+ */
+interface SupportsWrite extends Table {
+
+  /**
+   * Returns a {@link WriteBuilder} which can be used to create {@link BatchWrite}. Spark will call
+   * this method to configure each data source write.
+   */
+  WriteBuilder newWriteBuilder(DataSourceOptions options);
+}

sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/BatchWriteSupport.java → sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/BatchWrite.java

@@ -38,7 +38,7 @@
  * Please refer to the documentation of commit/abort methods for detailed specifications.
  */
 @Evolving
-public interface BatchWriteSupport {
+public interface BatchWrite {
 
   /**
    * Creates a writer factory which will be serialized and sent to executors.

sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/DataWriter.java

@@ -36,11 +36,11 @@
  *
  * If this data writer succeeds(all records are successfully written and {@link #commit()}
  * succeeds), a {@link WriterCommitMessage} will be sent to the driver side and pass to
- * {@link BatchWriteSupport#commit(WriterCommitMessage[])} with commit messages from other data
+ * {@link BatchWrite#commit(WriterCommitMessage[])} with commit messages from other data
  * writers. If this data writer fails(one record fails to write or {@link #commit()} fails), an
  * exception will be sent to the driver side, and Spark may retry this writing task a few times.
  * In each retry, {@link DataWriterFactory#createWriter(int, long)} will receive a
- * different `taskId`. Spark will call {@link BatchWriteSupport#abort(WriterCommitMessage[])}
+ * different `taskId`. Spark will call {@link BatchWrite#abort(WriterCommitMessage[])}
  * when the configured number of retries is exhausted.
  *
  * Besides the retry mechanism, Spark may launch speculative tasks if the existing writing task
@@ -71,11 +71,11 @@ public interface DataWriter<T> {
   /**
    * Commits this writer after all records are written successfully, returns a commit message which
    * will be sent back to driver side and passed to
-   * {@link BatchWriteSupport#commit(WriterCommitMessage[])}.
+   * {@link BatchWrite#commit(WriterCommitMessage[])}.
    *
    * The written data should only be visible to data source readers after
-   * {@link BatchWriteSupport#commit(WriterCommitMessage[])} succeeds, which means this method
-   * should still "hide" the written data and ask the {@link BatchWriteSupport} at driver side to
+   * {@link BatchWrite#commit(WriterCommitMessage[])} succeeds, which means this method
+   * should still "hide" the written data and ask the {@link BatchWrite} at driver side to
    * do the final commit via {@link WriterCommitMessage}.
    *
    * If this method fails (by throwing an exception), {@link #abort()} will be called and this
@@ -93,7 +93,7 @@ public interface DataWriter<T> {
    * failed.
    *
    * If this method fails(by throwing an exception), the underlying data source may have garbage
-   * that need to be cleaned by {@link BatchWriteSupport#abort(WriterCommitMessage[])} or manually,
+   * that need to be cleaned by {@link BatchWrite#abort(WriterCommitMessage[])} or manually,
    * but these garbage should not be visible to data source readers.
    *
    * @throws IOException if failure happens during disk/network IO like writing files.

sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/DataWriterFactory.java

@@ -24,7 +24,7 @@
 import org.apache.spark.sql.catalyst.InternalRow;
 
 /**
- * A factory of {@link DataWriter} returned by {@link BatchWriteSupport#createBatchWriterFactory()},
+ * A factory of {@link DataWriter} returned by {@link BatchWrite#createBatchWriterFactory()},
  * which is responsible for creating and initializing the actual data writer at executor side.
  *
  * Note that, the writer factory will be serialized and sent to executors, then the data writer

sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/SupportsSaveMode.java

@@ -0,0 +1,26 @@
+/*
+ * 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.sources.v2.writer;
+
+import org.apache.spark.sql.SaveMode;
+
+// A temporary mixin trait for `WriteBuilder` to support `SaveMode`. Will be removed before
+// Spark 3.0 when all the new write operators are finished. See SPARK-26356 for more details.
+public interface SupportsSaveMode extends WriteBuilder {
+  WriteBuilder mode(SaveMode mode);
+}

sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/WriteBuilder.java

@@ -0,0 +1,69 @@
+/*
+ * 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.sources.v2.writer;
+
+import org.apache.spark.annotation.Evolving;
+import org.apache.spark.sql.sources.v2.SupportsBatchWrite;
+import org.apache.spark.sql.sources.v2.Table;
+import org.apache.spark.sql.types.StructType;
+
+/**
+ * An interface for building the {@link BatchWrite}. Implementations can mix in some interfaces to
+ * support different ways to write data to data sources.
+ *
+ * Unless modified by a mixin interface, the {@link BatchWrite} configured by this builder is to
+ * append data without affecting existing data.
+ */
+@Evolving
+public interface WriteBuilder {
+
+  /**
+   * Passes the `queryId` from Spark to data source. `queryId` is a unique string of the query. It's
+   * possible that there are many queries running at the same time, or a query is restarted and
+   * resumed. {@link BatchWrite} can use this id to identify the query.
+   *
+   * @return a new builder with the `queryId`. By default it returns `this`, which means the given
+   *         `queryId` is ignored. Please override this method to take the `queryId`.
+   */
+  default WriteBuilder withQueryId(String queryId) {
+    return this;
+  }
+
+  /**
+   * Passes the schema of the input data from Spark to data source.
+   *
+   * @return a new builder with the `schema`. By default it returns `this`, which means the given
+   *         `schema` is ignored. Please override this method to take the `schema`.
+   */
+  default WriteBuilder withInputDataSchema(StructType schema) {
+    return this;
+  }
+
+  /**
+   * Returns a {@link BatchWrite} to write data to batch source. By default this method throws
+   * exception, data sources must overwrite this method to provide an implementation, if the
+   * {@link Table} that creates this scan implements {@link SupportsBatchWrite}.
+   *
+   * Note that, the returned {@link BatchWrite} can be null if the implementation supports SaveMode,
+   * to indicate that no writing is needed. We can clean it up after removing
+   * {@link SupportsSaveMode}.
+   */
+  default BatchWrite buildForBatch() {
+    throw new UnsupportedOperationException("Batch scans are not supported");
+  }
+}

sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/WriterCommitMessage.java

@@ -24,7 +24,7 @@
 
 /**
  * A commit message returned by {@link DataWriter#commit()} and will be sent back to the driver side
- * as the input parameter of {@link BatchWriteSupport#commit(WriterCommitMessage[])} or
+ * as the input parameter of {@link BatchWrite#commit(WriterCommitMessage[])} or
  * {@link StreamingWriteSupport#commit(long, WriterCommitMessage[])}.
  *
  * This is an empty interface, data sources should define their own message class and use it when

sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala

@@ -40,7 +40,7 @@ import org.apache.spark.sql.execution.datasources.json.TextInputJsonDataSource
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Utils
 import org.apache.spark.sql.sources.v2._
-import org.apache.spark.sql.types.{StringType, StructType}
+import org.apache.spark.sql.types.StructType
 import org.apache.spark.unsafe.types.UTF8String
 
 /**
@@ -209,10 +209,8 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
         case _ => provider.getTable(dsOptions)
       }
       table match {
-        case s: SupportsBatchRead =>
-          Dataset.ofRows(sparkSession, DataSourceV2Relation.create(
-            provider, s, finalOptions, userSpecifiedSchema = userSpecifiedSchema))
-
+        case _: SupportsBatchRead =>
+          Dataset.ofRows(sparkSession, DataSourceV2Relation.create(table, finalOptions))
         case _ => loadV1Source(paths: _*)
       }
     } else {