| /* |
| * 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.commands; |
| |
| import org.apache.hudi.cli.HoodieCLI; |
| import org.apache.hudi.cli.commands.SparkMain.SparkCommand; |
| import org.apache.hudi.cli.utils.InputStreamConsumer; |
| import org.apache.hudi.cli.utils.SparkUtil; |
| import org.apache.hudi.common.table.HoodieTableMetaClient; |
| import org.apache.hudi.common.table.timeline.HoodieActiveTimeline; |
| import org.apache.hudi.utilities.UtilHelpers; |
| import org.apache.log4j.LogManager; |
| import org.apache.log4j.Logger; |
| import org.apache.spark.launcher.SparkLauncher; |
| import org.apache.spark.util.Utils; |
| import org.springframework.shell.core.CommandMarker; |
| import org.springframework.shell.core.annotation.CliCommand; |
| import org.springframework.shell.core.annotation.CliOption; |
| import org.springframework.stereotype.Component; |
| import scala.collection.JavaConverters; |
| |
| @Component |
| public class ClusteringCommand implements CommandMarker { |
| |
| private static final Logger LOG = LogManager.getLogger(ClusteringCommand.class); |
| |
| @CliCommand(value = "clustering schedule", help = "Schedule Clustering") |
| public String scheduleClustering( |
| @CliOption(key = "sparkMemory", help = "Spark executor memory", |
| unspecifiedDefaultValue = "1G") final String sparkMemory, |
| @CliOption(key = "propsFilePath", help = "path to properties file on localfs or dfs with configurations for hoodie client for clustering", |
| unspecifiedDefaultValue = "") final String propsFilePath, |
| @CliOption(key = "hoodieConfigs", help = "Any configuration that can be set in the properties file can be passed here in the form of an array", |
| unspecifiedDefaultValue = "") final String[] configs) throws Exception { |
| HoodieTableMetaClient client = HoodieCLI.getTableMetaClient(); |
| boolean initialized = HoodieCLI.initConf(); |
| HoodieCLI.initFS(initialized); |
| |
| String sparkPropertiesPath = |
| Utils.getDefaultPropertiesFile(JavaConverters.mapAsScalaMapConverter(System.getenv()).asScala()); |
| SparkLauncher sparkLauncher = SparkUtil.initLauncher(sparkPropertiesPath); |
| |
| // First get a clustering instant time and pass it to spark launcher for scheduling clustering |
| String clusteringInstantTime = HoodieActiveTimeline.createNewInstantTime(); |
| |
| sparkLauncher.addAppArgs(SparkCommand.CLUSTERING_SCHEDULE.toString(), client.getBasePath(), |
| client.getTableConfig().getTableName(), clusteringInstantTime, sparkMemory, propsFilePath); |
| UtilHelpers.validateAndAddProperties(configs, sparkLauncher); |
| Process process = sparkLauncher.launch(); |
| InputStreamConsumer.captureOutput(process); |
| int exitCode = process.waitFor(); |
| if (exitCode != 0) { |
| return "Failed to schedule clustering for " + clusteringInstantTime; |
| } |
| return "Succeeded to schedule clustering for " + clusteringInstantTime; |
| } |
| |
| @CliCommand(value = "clustering run", help = "Run Clustering") |
| public String runClustering( |
| @CliOption(key = "parallelism", help = "Parallelism for hoodie clustering", |
| unspecifiedDefaultValue = "1") final String parallelism, |
| @CliOption(key = "sparkMemory", help = "Spark executor memory", |
| unspecifiedDefaultValue = "4G") final String sparkMemory, |
| @CliOption(key = "retry", help = "Number of retries", |
| unspecifiedDefaultValue = "1") final String retry, |
| @CliOption(key = "clusteringInstant", help = "Clustering instant time", |
| mandatory = true) final String clusteringInstantTime, |
| @CliOption(key = "propsFilePath", help = "path to properties file on localfs or dfs with configurations for hoodie client for compacting", |
| unspecifiedDefaultValue = "") final String propsFilePath, |
| @CliOption(key = "hoodieConfigs", help = "Any configuration that can be set in the properties file can be passed here in the form of an array", |
| unspecifiedDefaultValue = "") final String[] configs |
| ) throws Exception { |
| HoodieTableMetaClient client = HoodieCLI.getTableMetaClient(); |
| boolean initialized = HoodieCLI.initConf(); |
| HoodieCLI.initFS(initialized); |
| |
| String sparkPropertiesPath = |
| Utils.getDefaultPropertiesFile(JavaConverters.mapAsScalaMapConverter(System.getenv()).asScala()); |
| SparkLauncher sparkLauncher = SparkUtil.initLauncher(sparkPropertiesPath); |
| sparkLauncher.addAppArgs(SparkCommand.CLUSTERING_RUN.toString(), client.getBasePath(), |
| client.getTableConfig().getTableName(), clusteringInstantTime, parallelism, sparkMemory, retry, propsFilePath); |
| UtilHelpers.validateAndAddProperties(configs, sparkLauncher); |
| Process process = sparkLauncher.launch(); |
| InputStreamConsumer.captureOutput(process); |
| int exitCode = process.waitFor(); |
| if (exitCode != 0) { |
| return "Failed to run clustering for " + clusteringInstantTime; |
| } |
| return "Succeeded to run clustering for " + clusteringInstantTime; |
| } |
| } |