zhangyue19921010 commented on a change in pull request #4817: URL: https://github.com/apache/hudi/pull/4817#discussion_r809754172
########## File path: hudi-cli/src/test/java/org/apache/hudi/cli/integ/ITTestClusteringCommand.java ########## @@ -0,0 +1,202 @@ +/* + * 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.hudi.cli.integ; + +import org.apache.hudi.cli.HoodieCLI; +import org.apache.hudi.cli.commands.TableCommand; +import org.apache.hudi.cli.testutils.AbstractShellIntegrationTest; +import org.apache.hudi.client.SparkRDDWriteClient; +import org.apache.hudi.client.WriteStatus; +import org.apache.hudi.client.common.HoodieSparkEngineContext; +import org.apache.hudi.common.model.HoodieAvroPayload; +import org.apache.hudi.common.model.HoodieRecord; +import org.apache.hudi.common.model.HoodieTableType; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.timeline.HoodieActiveTimeline; +import org.apache.hudi.common.table.timeline.HoodieInstant; +import org.apache.hudi.common.table.timeline.versioning.TimelineLayoutVersion; +import org.apache.hudi.common.testutils.HoodieTestDataGenerator; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.config.HoodieIndexConfig; +import org.apache.hudi.config.HoodieWriteConfig; +import org.apache.hudi.index.HoodieIndex; +import org.apache.hudi.testutils.HoodieClientTestBase; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.springframework.shell.core.CommandResult; + +import java.io.IOException; +import java.nio.file.Paths; +import java.util.List; +import java.util.stream.Collectors; + +import static org.junit.jupiter.api.Assertions.assertAll; +import static org.junit.jupiter.api.Assertions.assertEquals; +import static org.junit.jupiter.api.Assertions.assertTrue; + +/** + * Integration test class for {@link org.apache.hudi.cli.commands.ClusteringCommand}. + * <p/> + * A command use SparkLauncher need load jars under lib which generate during mvn package. + * Use integration test instead of unit test. + */ +public class ITTestClusteringCommand extends AbstractShellIntegrationTest { + + private String tablePath; + private String tableName; + + @BeforeEach + public void init() throws IOException { + tableName = "test_table_" + ITTestClusteringCommand.class.getName(); + tablePath = Paths.get(basePath, tableName).toString(); + + HoodieCLI.conf = jsc.hadoopConfiguration(); + // Create table and connect + new TableCommand().createTable( + tablePath, tableName, HoodieTableType.COPY_ON_WRITE.name(), + "", TimelineLayoutVersion.VERSION_1, "org.apache.hudi.common.model.HoodieAvroPayload"); + metaClient.setBasePath(tablePath); + metaClient = HoodieTableMetaClient.reload(metaClient); + } + + /** + * Test case for command 'clustering schedule'. + */ + @Test + public void testScheduleClustering() throws IOException { + // generate commits + generateCommits(); + + CommandResult cr = getShell().executeCommand( + String.format("clustering schedule --hoodieConfigs hoodie.clustering.inline.max.commits=1 --sparkMaster %s", + "local")); + assertAll("Command run failed", + () -> assertTrue(cr.isSuccess()), + () -> assertTrue( + cr.getResult().toString().startsWith("Succeeded to schedule clustering for"))); + + // there is 1 requested clustering + HoodieActiveTimeline timeline = HoodieCLI.getTableMetaClient().getActiveTimeline(); + assertEquals(1, timeline.filterPendingReplaceTimeline().countInstants()); + } + + /** + * Test case for command 'clustering run'. + */ + @Test + public void testClustering() throws IOException { + // generate commits + generateCommits(); + + String instance = prepareScheduleClustering(); + + CommandResult cr2 = getShell().executeCommand( + String.format("clustering run --parallelism %s --clusteringInstant %s --sparkMaster %s", + 2, instance, "local")); + + assertAll("Command run failed", + () -> assertTrue(cr2.isSuccess()), + () -> assertTrue( + cr2.getResult().toString().startsWith("Succeeded to run clustering for "))); + + // assert clustering complete + assertTrue(HoodieCLI.getTableMetaClient().getActiveTimeline().reload() + .filterCompletedInstants().getInstants() + .map(HoodieInstant::getTimestamp).collect(Collectors.toList()).contains(instance), + "Pending clustering must be completed"); + + assertTrue(HoodieCLI.getTableMetaClient().getActiveTimeline().reload() + .getCompletedReplaceTimeline().getInstants() + .map(HoodieInstant::getTimestamp).collect(Collectors.toList()).contains(instance), + "Pending clustering must be completed"); + } + + /** + * Test case for command 'clustering scheduleAndExecute'. + */ + @Test + public void testClusteringScheduleAndExecute() throws IOException { + // generate commits + generateCommits(); + + CommandResult cr2 = getShell().executeCommand( + String.format("clustering scheduleAndExecute --parallelism %s --sparkMaster %s", 2, "local")); + + assertAll("Command run failed", + () -> assertTrue(cr2.isSuccess()), + () -> assertTrue( + cr2.getResult().toString().startsWith("Succeeded to run clustering for scheduleAndExecute"))); + + // assert clustering complete + assertTrue(HoodieCLI.getTableMetaClient().getActiveTimeline().reload() + .getCompletedReplaceTimeline().getInstants() + .map(HoodieInstant::getTimestamp).count() > 0, + "Completed clustering couldn't be 0"); + } + + private String prepareScheduleClustering() { + // generate requested clustering + CommandResult cr = getShell().executeCommand( + String.format("clustering schedule --hoodieConfigs hoodie.clustering.inline.max.commits=1 --sparkMaster %s", + "local")); + assertTrue(cr.isSuccess()); + + // get clustering instance + HoodieActiveTimeline timeline = HoodieCLI.getTableMetaClient().getActiveTimeline(); + Option<String> instance = Review comment: Okay, Changed. Thanks a lot for your review :) ########## File path: hudi-cli/src/test/java/org/apache/hudi/cli/integ/ITTestClusteringCommand.java ########## @@ -0,0 +1,202 @@ +/* + * 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.hudi.cli.integ; + +import org.apache.hudi.cli.HoodieCLI; +import org.apache.hudi.cli.commands.TableCommand; +import org.apache.hudi.cli.testutils.AbstractShellIntegrationTest; +import org.apache.hudi.client.SparkRDDWriteClient; +import org.apache.hudi.client.WriteStatus; +import org.apache.hudi.client.common.HoodieSparkEngineContext; +import org.apache.hudi.common.model.HoodieAvroPayload; +import org.apache.hudi.common.model.HoodieRecord; +import org.apache.hudi.common.model.HoodieTableType; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.timeline.HoodieActiveTimeline; +import org.apache.hudi.common.table.timeline.HoodieInstant; +import org.apache.hudi.common.table.timeline.versioning.TimelineLayoutVersion; +import org.apache.hudi.common.testutils.HoodieTestDataGenerator; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.config.HoodieIndexConfig; +import org.apache.hudi.config.HoodieWriteConfig; +import org.apache.hudi.index.HoodieIndex; +import org.apache.hudi.testutils.HoodieClientTestBase; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.springframework.shell.core.CommandResult; + +import java.io.IOException; +import java.nio.file.Paths; +import java.util.List; +import java.util.stream.Collectors; + +import static org.junit.jupiter.api.Assertions.assertAll; +import static org.junit.jupiter.api.Assertions.assertEquals; +import static org.junit.jupiter.api.Assertions.assertTrue; + +/** + * Integration test class for {@link org.apache.hudi.cli.commands.ClusteringCommand}. + * <p/> + * A command use SparkLauncher need load jars under lib which generate during mvn package. + * Use integration test instead of unit test. + */ +public class ITTestClusteringCommand extends AbstractShellIntegrationTest { + + private String tablePath; + private String tableName; + + @BeforeEach + public void init() throws IOException { + tableName = "test_table_" + ITTestClusteringCommand.class.getName(); + tablePath = Paths.get(basePath, tableName).toString(); + + HoodieCLI.conf = jsc.hadoopConfiguration(); + // Create table and connect + new TableCommand().createTable( + tablePath, tableName, HoodieTableType.COPY_ON_WRITE.name(), + "", TimelineLayoutVersion.VERSION_1, "org.apache.hudi.common.model.HoodieAvroPayload"); + metaClient.setBasePath(tablePath); + metaClient = HoodieTableMetaClient.reload(metaClient); + } + + /** + * Test case for command 'clustering schedule'. + */ + @Test + public void testScheduleClustering() throws IOException { + // generate commits + generateCommits(); + + CommandResult cr = getShell().executeCommand( + String.format("clustering schedule --hoodieConfigs hoodie.clustering.inline.max.commits=1 --sparkMaster %s", + "local")); + assertAll("Command run failed", + () -> assertTrue(cr.isSuccess()), + () -> assertTrue( + cr.getResult().toString().startsWith("Succeeded to schedule clustering for"))); + + // there is 1 requested clustering + HoodieActiveTimeline timeline = HoodieCLI.getTableMetaClient().getActiveTimeline(); + assertEquals(1, timeline.filterPendingReplaceTimeline().countInstants()); + } + + /** + * Test case for command 'clustering run'. + */ + @Test + public void testClustering() throws IOException { + // generate commits + generateCommits(); + + String instance = prepareScheduleClustering(); + + CommandResult cr2 = getShell().executeCommand( + String.format("clustering run --parallelism %s --clusteringInstant %s --sparkMaster %s", + 2, instance, "local")); + + assertAll("Command run failed", + () -> assertTrue(cr2.isSuccess()), + () -> assertTrue( + cr2.getResult().toString().startsWith("Succeeded to run clustering for "))); + + // assert clustering complete + assertTrue(HoodieCLI.getTableMetaClient().getActiveTimeline().reload() + .filterCompletedInstants().getInstants() + .map(HoodieInstant::getTimestamp).collect(Collectors.toList()).contains(instance), + "Pending clustering must be completed"); + + assertTrue(HoodieCLI.getTableMetaClient().getActiveTimeline().reload() + .getCompletedReplaceTimeline().getInstants() + .map(HoodieInstant::getTimestamp).collect(Collectors.toList()).contains(instance), + "Pending clustering must be completed"); + } + + /** + * Test case for command 'clustering scheduleAndExecute'. + */ + @Test + public void testClusteringScheduleAndExecute() throws IOException { + // generate commits + generateCommits(); + + CommandResult cr2 = getShell().executeCommand( + String.format("clustering scheduleAndExecute --parallelism %s --sparkMaster %s", 2, "local")); + + assertAll("Command run failed", + () -> assertTrue(cr2.isSuccess()), + () -> assertTrue( + cr2.getResult().toString().startsWith("Succeeded to run clustering for scheduleAndExecute"))); + + // assert clustering complete + assertTrue(HoodieCLI.getTableMetaClient().getActiveTimeline().reload() + .getCompletedReplaceTimeline().getInstants() + .map(HoodieInstant::getTimestamp).count() > 0, + "Completed clustering couldn't be 0"); + } + + private String prepareScheduleClustering() { + // generate requested clustering + CommandResult cr = getShell().executeCommand( + String.format("clustering schedule --hoodieConfigs hoodie.clustering.inline.max.commits=1 --sparkMaster %s", + "local")); + assertTrue(cr.isSuccess()); + + // get clustering instance + HoodieActiveTimeline timeline = HoodieCLI.getTableMetaClient().getActiveTimeline(); + Option<String> instance = + timeline.filterPendingReplaceTimeline().firstInstant().map(HoodieInstant::getTimestamp); + assertTrue(instance.isPresent(), "Must have pending clustering."); Review comment: Sure, thing. 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