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116 changes: 116 additions & 0 deletions
116
...ala/org/apache/spark/sql/execution/datasources/v2/state/StateDataSourceCDCReadSuite.scala
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| /* | ||
| * 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.execution.datasources.v2.state | ||
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| import java.io.File | ||
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| import org.scalatest.Assertions | ||
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| import org.apache.spark.sql.execution.streaming.MemoryStream | ||
| import org.apache.spark.sql.execution.streaming.state._ | ||
| import org.apache.spark.sql.internal.SQLConf | ||
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| class HDFSBackedStateDataSourceReadCDCSuite extends StateDataSourceCDCReadSuite { | ||
| override protected def newStateStoreProvider(): HDFSBackedStateStoreProvider = | ||
| new HDFSBackedStateStoreProvider | ||
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| override def beforeAll(): Unit = { | ||
| super.beforeAll() | ||
| spark.conf.set(SQLConf.STATE_STORE_PROVIDER_CLASS.key, | ||
| newStateStoreProvider().getClass.getName) | ||
| // make sure we have a snapshot for every two delta files | ||
| // HDFS maintenance task will not count the latest delta file, which has the same version | ||
| // as the snapshot version | ||
| spark.conf.set(SQLConf.STATE_STORE_MIN_DELTAS_FOR_SNAPSHOT.key, 1) | ||
| } | ||
| } | ||
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| class RocksDBStateDataSourceCDCReadSuite extends StateDataSourceCDCReadSuite { | ||
| override protected def newStateStoreProvider(): RocksDBStateStoreProvider = | ||
| new RocksDBStateStoreProvider | ||
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| override def beforeAll(): Unit = { | ||
| super.beforeAll() | ||
| spark.conf.set(SQLConf.STATE_STORE_PROVIDER_CLASS.key, | ||
| newStateStoreProvider().getClass.getName) | ||
| spark.conf.set("spark.sql.streaming.stateStore.rocksdb.changelogCheckpointing.enabled", | ||
| "false") | ||
| } | ||
| } | ||
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| class RocksDBWithChangelogCheckpointStateDataSourceCDCReaderSuite extends | ||
| StateDataSourceCDCReadSuite { | ||
| override protected def newStateStoreProvider(): RocksDBStateStoreProvider = | ||
| new RocksDBStateStoreProvider | ||
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| override def beforeAll(): Unit = { | ||
| super.beforeAll() | ||
| spark.conf.set(SQLConf.STATE_STORE_PROVIDER_CLASS.key, | ||
| newStateStoreProvider().getClass.getName) | ||
| spark.conf.set("spark.sql.streaming.stateStore.rocksdb.changelogCheckpointing.enabled", | ||
| "true") | ||
| // make sure we have a snapshot for every other checkpoint | ||
| // RocksDB maintenance task will count the latest checkpoint, so we need to set it to 2 | ||
| spark.conf.set(SQLConf.STATE_STORE_MIN_DELTAS_FOR_SNAPSHOT.key, 2) | ||
| } | ||
| } | ||
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| abstract class StateDataSourceCDCReadSuite extends StateDataSourceTestBase with Assertions { | ||
| protected def newStateStoreProvider(): StateStoreProvider | ||
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| test("cdc read limit state") { | ||
| withTempDir(tempDir => { | ||
| val tempDir2 = new File("/tmp/state/rand") | ||
| import testImplicits._ | ||
| spark.conf.set(SQLConf.STREAMING_MAINTENANCE_INTERVAL.key, 500) | ||
| val inputData = MemoryStream[Int] | ||
| val df = inputData.toDF().limit(10) | ||
| testStream(df)( | ||
| StartStream(checkpointLocation = tempDir2.getAbsolutePath), | ||
| AddData(inputData, 1, 2, 3, 4), | ||
| CheckLastBatch(1, 2, 3, 4), | ||
| AddData(inputData, 5, 6, 7, 8), | ||
| CheckLastBatch(5, 6, 7, 8), | ||
| AddData(inputData, 9, 10, 11, 12), | ||
| CheckLastBatch(9, 10) | ||
| ) | ||
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| val stateDf = spark.read.format("statestore") | ||
| .option(StateSourceOptions.MODE_TYPE, "cdc") | ||
| .option(StateSourceOptions.CDC_START_BATCH_ID, 0) | ||
| .option(StateSourceOptions.CDC_END_BATCH_ID, 2) | ||
| .load(tempDir2.getAbsolutePath) | ||
| stateDf.show() | ||
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| val expectedDf = spark.createDataFrame() | ||
| }) | ||
| } | ||
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| test("cdc read aggregate state") { | ||
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| } | ||
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| test("cdc read deduplication state") { | ||
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| } | ||
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| test("cdc read stream-stream join state") { | ||
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| } | ||
| } |