anishshri-db commented on code in PR #45376: URL: https://github.com/apache/spark/pull/45376#discussion_r1513594533
########## sql/core/src/test/scala/org/apache/spark/sql/streaming/TransformWithStateWatermarkSuite.scala: ########## @@ -0,0 +1,193 @@ +/* + * 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.streaming + +import java.sql.Timestamp +import java.time.{Instant, LocalDateTime, ZoneId} + +import org.apache.spark.internal.Logging +import org.apache.spark.sql.AnalysisException +import org.apache.spark.sql.catalyst.ExtendedAnalysisException +import org.apache.spark.sql.execution.streaming.{MemoryStream, StreamExecution} +import org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider +import org.apache.spark.sql.functions.window +import org.apache.spark.sql.internal.SQLConf + +class ColumnRenamedStatefulProcessor + extends StatefulProcessor[String, InputEventRow, RenamedInputEventRow] + with Logging { + + override def init(outputMode: OutputMode): Unit = { } + + override def handleInputRows(key: String, inputRows: Iterator[InputEventRow], + timerValues: TimerValues): Iterator[RenamedInputEventRow] = { + + new Iterator[RenamedInputEventRow] { + override def hasNext: Boolean = inputRows.hasNext + + override def next(): RenamedInputEventRow = { + Option(inputRows.next()).map { r => + RenamedInputEventRow( + r.key, r.eventTime, r.event + ) + }.orNull + } + } + + } + + override def close(): Unit = { } +} + +case class InputEventRow( + key: String, + eventTime: Timestamp, + event: String) + +case class RenamedInputEventRow( + key: String, + renamedEventTime: Timestamp, + event: String) + +case class OutputEventRow( + key: String, + count: Int) + +case class Window( + start: Timestamp, + end: Timestamp) + +case class AggEventRow( + window: Window, + count: Long) + +class TransformWithStateWatermarkSuite extends StreamTest + with Logging { + import testImplicits._ + + test("watermark is propagated correctly for next stateful operator" + + " after transformWithState") { + withSQLConf(SQLConf.STATE_STORE_PROVIDER_CLASS.key -> + classOf[RocksDBStateStoreProvider].getName) { + withSQLConf(SQLConf.SHUFFLE_PARTITIONS.key -> "1") { + val inputData = MemoryStream[InputEventRow] + + val result = inputData.toDS() + .withWatermark("eventTime", "1 minute") + .groupByKey(x => x.key) + .transformWithState[RenamedInputEventRow]( + new ColumnRenamedStatefulProcessor(), + TimeoutMode.NoTimeouts(), + "renamedEventTime", + OutputMode.Append()) + .groupBy(window($"renamedEventTime", "1 minute")) Review Comment: Can we add few more tests ? maybe one with `transformWithState` followed by `dropDuplicates`, `join` and `transformWithState` too ? ########## sql/core/src/test/scala/org/apache/spark/sql/streaming/TransformWithStateWatermarkSuite.scala: ########## @@ -0,0 +1,193 @@ +/* + * 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.streaming + +import java.sql.Timestamp +import java.time.{Instant, LocalDateTime, ZoneId} + +import org.apache.spark.internal.Logging +import org.apache.spark.sql.AnalysisException +import org.apache.spark.sql.catalyst.ExtendedAnalysisException +import org.apache.spark.sql.execution.streaming.{MemoryStream, StreamExecution} +import org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider +import org.apache.spark.sql.functions.window +import org.apache.spark.sql.internal.SQLConf + +class ColumnRenamedStatefulProcessor + extends StatefulProcessor[String, InputEventRow, RenamedInputEventRow] + with Logging { + + override def init(outputMode: OutputMode): Unit = { } + + override def handleInputRows(key: String, inputRows: Iterator[InputEventRow], + timerValues: TimerValues): Iterator[RenamedInputEventRow] = { + + new Iterator[RenamedInputEventRow] { + override def hasNext: Boolean = inputRows.hasNext + + override def next(): RenamedInputEventRow = { + Option(inputRows.next()).map { r => + RenamedInputEventRow( + r.key, r.eventTime, r.event + ) + }.orNull + } + } + + } + + override def close(): Unit = { } +} + +case class InputEventRow( + key: String, + eventTime: Timestamp, + event: String) + +case class RenamedInputEventRow( + key: String, + renamedEventTime: Timestamp, + event: String) + +case class OutputEventRow( + key: String, + count: Int) + +case class Window( + start: Timestamp, + end: Timestamp) + +case class AggEventRow( + window: Window, + count: Long) + +class TransformWithStateWatermarkSuite extends StreamTest + with Logging { + import testImplicits._ + + test("watermark is propagated correctly for next stateful operator" + + " after transformWithState") { + withSQLConf(SQLConf.STATE_STORE_PROVIDER_CLASS.key -> + classOf[RocksDBStateStoreProvider].getName) { + withSQLConf(SQLConf.SHUFFLE_PARTITIONS.key -> "1") { + val inputData = MemoryStream[InputEventRow] + + val result = inputData.toDS() + .withWatermark("eventTime", "1 minute") + .groupByKey(x => x.key) + .transformWithState[RenamedInputEventRow]( + new ColumnRenamedStatefulProcessor(), + TimeoutMode.NoTimeouts(), + "renamedEventTime", + OutputMode.Append()) + .groupBy(window($"renamedEventTime", "1 minute")) Review Comment: Can we add few more tests ? maybe one each with `transformWithState` followed by `dropDuplicates`, `join` and `transformWithState` too ? -- This is an automated message from the Apache Git Service. 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