[HUDI-3369] New ScheduleAndExecute mode for HoodieCompactor and hudi-cli (#4750)
Schedule and execute compaction plan in one single mode.
This commit is contained in:
@@ -264,6 +264,41 @@ public class CompactionCommand implements CommandMarker {
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return "Compaction successfully completed for " + compactionInstantTime;
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}
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@CliCommand(value = "compaction scheduleAndExecute", help = "Schedule compaction plan and execute this plan")
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public String compact(
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@CliOption(key = {"parallelism"}, mandatory = true,
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help = "Parallelism for hoodie compaction") final String parallelism,
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@CliOption(key = "schemaFilePath", mandatory = true,
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help = "Path for Avro schema file") final String schemaFilePath,
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@CliOption(key = "sparkMaster", unspecifiedDefaultValue = "local",
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help = "Spark Master") String master,
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@CliOption(key = "sparkMemory", unspecifiedDefaultValue = "4G",
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help = "Spark executor memory") final String sparkMemory,
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@CliOption(key = "retry", unspecifiedDefaultValue = "1", help = "Number of retries") final String retry,
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@CliOption(key = "propsFilePath", help = "path to properties file on localfs or dfs with configurations for hoodie client for compacting",
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unspecifiedDefaultValue = "") final String propsFilePath,
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@CliOption(key = "hoodieConfigs", help = "Any configuration that can be set in the properties file can be passed here in the form of an array",
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unspecifiedDefaultValue = "") final String[] configs)
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throws Exception {
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HoodieTableMetaClient client = checkAndGetMetaClient();
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boolean initialized = HoodieCLI.initConf();
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HoodieCLI.initFS(initialized);
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String sparkPropertiesPath =
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Utils.getDefaultPropertiesFile(scala.collection.JavaConversions.propertiesAsScalaMap(System.getProperties()));
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SparkLauncher sparkLauncher = SparkUtil.initLauncher(sparkPropertiesPath);
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sparkLauncher.addAppArgs(SparkCommand.COMPACT_SCHEDULE_AND_EXECUTE.toString(), master, sparkMemory, client.getBasePath(),
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client.getTableConfig().getTableName(), parallelism, schemaFilePath,
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retry, propsFilePath);
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UtilHelpers.validateAndAddProperties(configs, sparkLauncher);
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Process process = sparkLauncher.launch();
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InputStreamConsumer.captureOutput(process);
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int exitCode = process.waitFor();
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if (exitCode != 0) {
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return "Failed to schedule and execute compaction ";
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}
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return "Schedule and execute compaction successfully completed";
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}
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/**
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* Prints all compaction details.
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*/
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@@ -74,7 +74,7 @@ public class SparkMain {
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* Commands.
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*/
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enum SparkCommand {
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BOOTSTRAP, ROLLBACK, DEDUPLICATE, ROLLBACK_TO_SAVEPOINT, SAVEPOINT, IMPORT, UPSERT, COMPACT_SCHEDULE, COMPACT_RUN,
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BOOTSTRAP, ROLLBACK, DEDUPLICATE, ROLLBACK_TO_SAVEPOINT, SAVEPOINT, IMPORT, UPSERT, COMPACT_SCHEDULE, COMPACT_RUN, COMPACT_SCHEDULE_AND_EXECUTE,
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COMPACT_UNSCHEDULE_PLAN, COMPACT_UNSCHEDULE_FILE, COMPACT_VALIDATE, COMPACT_REPAIR, CLUSTERING_SCHEDULE,
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CLUSTERING_RUN, CLEAN, DELETE_SAVEPOINT, UPGRADE, DOWNGRADE
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}
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@@ -128,7 +128,21 @@ public class SparkMain {
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configs.addAll(Arrays.asList(args).subList(9, args.length));
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}
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returnCode = compact(jsc, args[3], args[4], args[5], Integer.parseInt(args[6]), args[7],
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Integer.parseInt(args[8]), false, propsFilePath, configs);
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Integer.parseInt(args[8]), HoodieCompactor.EXECUTE, propsFilePath, configs);
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break;
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case COMPACT_SCHEDULE_AND_EXECUTE:
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assert (args.length >= 9);
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propsFilePath = null;
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if (!StringUtils.isNullOrEmpty(args[8])) {
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propsFilePath = args[8];
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}
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configs = new ArrayList<>();
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if (args.length > 9) {
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configs.addAll(Arrays.asList(args).subList(8, args.length));
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}
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returnCode = compact(jsc, args[3], args[4], null, Integer.parseInt(args[5]), args[6],
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Integer.parseInt(args[7]), HoodieCompactor.SCHEDULE_AND_EXECUTE, propsFilePath, configs);
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break;
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case COMPACT_SCHEDULE:
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assert (args.length >= 7);
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@@ -140,7 +154,7 @@ public class SparkMain {
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if (args.length > 7) {
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configs.addAll(Arrays.asList(args).subList(7, args.length));
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}
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returnCode = compact(jsc, args[3], args[4], args[5], 1, "", 0, true, propsFilePath, configs);
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returnCode = compact(jsc, args[3], args[4], args[5], 1, "", 0, HoodieCompactor.SCHEDULE, propsFilePath, configs);
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break;
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case COMPACT_VALIDATE:
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assert (args.length == 7);
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@@ -320,7 +334,7 @@ public class SparkMain {
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}
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private static int compact(JavaSparkContext jsc, String basePath, String tableName, String compactionInstant,
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int parallelism, String schemaFile, int retry, boolean schedule, String propsFilePath,
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int parallelism, String schemaFile, int retry, String mode, String propsFilePath,
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List<String> configs) {
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HoodieCompactor.Config cfg = new HoodieCompactor.Config();
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cfg.basePath = basePath;
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@@ -330,7 +344,7 @@ public class SparkMain {
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cfg.strategyClassName = UnBoundedCompactionStrategy.class.getCanonicalName();
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cfg.parallelism = parallelism;
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cfg.schemaFile = schemaFile;
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cfg.runSchedule = schedule;
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cfg.runningMode = mode;
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cfg.propsFilePath = propsFilePath;
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cfg.configs = configs;
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return new HoodieCompactor(jsc, cfg).compact(retry);
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@@ -140,6 +140,33 @@ public class ITTestCompactionCommand extends AbstractShellIntegrationTest {
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"Pending compaction must be completed");
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}
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/**
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* Test case for command 'compaction scheduleAndExecute'.
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*/
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@Test
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public void testCompactScheduleAndExecute() throws IOException {
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// generate commits
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generateCommits();
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String schemaPath = Paths.get(basePath, "compaction.schema").toString();
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writeSchemaToTmpFile(schemaPath);
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CommandResult cr2 = getShell().executeCommand(
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String.format("compaction scheduleAndExecute --parallelism %s --schemaFilePath %s --sparkMaster %s",
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2, schemaPath, "local"));
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assertAll("Command run failed",
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() -> assertTrue(cr2.isSuccess()),
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() -> assertTrue(
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cr2.getResult().toString().startsWith("Schedule and execute compaction successfully completed")));
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// assert compaction complete
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assertTrue(HoodieCLI.getTableMetaClient().getActiveTimeline().reload()
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.filterCompletedInstants().getInstants()
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.map(HoodieInstant::getTimestamp).count() > 0,
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"Completed compaction couldn't be 0");
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}
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/**
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* Test case for command 'compaction validate'.
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*/
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@@ -18,13 +18,14 @@
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package org.apache.hudi.utilities;
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import org.apache.avro.Schema;
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import org.apache.hudi.client.SparkRDDWriteClient;
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import org.apache.hudi.client.WriteStatus;
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import org.apache.hudi.common.config.TypedProperties;
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import org.apache.hudi.common.fs.ConsistencyGuardConfig;
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import org.apache.hudi.common.fs.FSUtils;
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import org.apache.hudi.common.model.HoodieRecordPayload;
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import org.apache.hudi.common.table.HoodieTableMetaClient;
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import org.apache.hudi.common.table.TableSchemaResolver;
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import org.apache.hudi.common.table.timeline.HoodieInstant;
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import org.apache.hudi.common.table.timeline.HoodieTimeline;
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import org.apache.hudi.common.util.Option;
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@@ -35,6 +36,9 @@ import com.beust.jcommander.JCommander;
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import com.beust.jcommander.Parameter;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import org.apache.hudi.exception.HoodieException;
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import org.apache.hudi.table.action.compact.strategy.LogFileSizeBasedCompactionStrategy;
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import org.apache.log4j.LogManager;
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import org.apache.log4j.Logger;
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import org.apache.spark.api.java.JavaRDD;
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@@ -43,15 +47,19 @@ import org.apache.spark.api.java.JavaSparkContext;
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import java.io.Serializable;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Objects;
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public class HoodieCompactor {
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private static final Logger LOG = LogManager.getLogger(HoodieCompactor.class);
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private static ConsistencyGuardConfig consistencyGuardConfig = ConsistencyGuardConfig.newBuilder().build();
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public static final String EXECUTE = "execute";
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public static final String SCHEDULE = "schedule";
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public static final String SCHEDULE_AND_EXECUTE = "scheduleandexecute";
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private final Config cfg;
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private transient FileSystem fs;
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private TypedProperties props;
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private final JavaSparkContext jsc;
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private final HoodieTableMetaClient metaClient;
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public HoodieCompactor(JavaSparkContext jsc, Config cfg) {
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this.cfg = cfg;
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@@ -59,6 +67,7 @@ public class HoodieCompactor {
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this.props = cfg.propsFilePath == null
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? UtilHelpers.buildProperties(cfg.configs)
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: readConfigFromFileSystem(jsc, cfg);
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this.metaClient = UtilHelpers.createMetaClient(jsc, cfg.basePath, true);
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}
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private TypedProperties readConfigFromFileSystem(JavaSparkContext jsc, Config cfg) {
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@@ -73,9 +82,9 @@ public class HoodieCompactor {
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public String tableName = null;
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@Parameter(names = {"--instant-time", "-it"}, description = "Compaction Instant time", required = false)
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public String compactionInstantTime = null;
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@Parameter(names = {"--parallelism", "-pl"}, description = "Parallelism for hoodie insert", required = true)
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public int parallelism = 1;
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@Parameter(names = {"--schema-file", "-sf"}, description = "path for Avro schema file", required = true)
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@Parameter(names = {"--parallelism", "-pl"}, description = "Parallelism for hoodie insert", required = false)
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public int parallelism = 200;
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@Parameter(names = {"--schema-file", "-sf"}, description = "path for Avro schema file", required = false)
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public String schemaFile = null;
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@Parameter(names = {"--spark-master", "-ms"}, description = "Spark master", required = false)
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public String sparkMaster = null;
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@@ -85,8 +94,12 @@ public class HoodieCompactor {
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public int retry = 0;
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@Parameter(names = {"--schedule", "-sc"}, description = "Schedule compaction", required = false)
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public Boolean runSchedule = false;
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@Parameter(names = {"--mode", "-m"}, description = "Set job mode: Set \"schedule\" means make a compact plan; "
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+ "Set \"execute\" means execute a compact plan at given instant which means --instant-time is needed here; "
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+ "Set \"scheduleAndExecute\" means make a compact plan first and execute that plan immediately", required = false)
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public String runningMode = null;
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@Parameter(names = {"--strategy", "-st"}, description = "Strategy Class", required = false)
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public String strategyClassName = null;
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public String strategyClassName = LogFileSizeBasedCompactionStrategy.class.getName();
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@Parameter(names = {"--help", "-h"}, help = true)
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public Boolean help = false;
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@@ -96,8 +109,57 @@ public class HoodieCompactor {
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@Parameter(names = {"--hoodie-conf"}, description = "Any configuration that can be set in the properties file "
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+ "(using the CLI parameter \"--props\") can also be passed command line using this parameter. This can be repeated",
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splitter = IdentitySplitter.class)
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splitter = IdentitySplitter.class)
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public List<String> configs = new ArrayList<>();
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@Override
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public String toString() {
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return "HoodieCompactorConfig {\n"
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+ " --base-path " + basePath + ", \n"
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+ " --table-name " + tableName + ", \n"
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+ " --instant-time " + compactionInstantTime + ", \n"
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+ " --parallelism " + parallelism + ", \n"
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+ " --schema-file " + schemaFile + ", \n"
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+ " --spark-master " + sparkMaster + ", \n"
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+ " --spark-memory " + sparkMemory + ", \n"
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+ " --retry " + retry + ", \n"
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+ " --schedule " + runSchedule + ", \n"
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+ " --mode " + runningMode + ", \n"
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+ " --strategy " + strategyClassName + ", \n"
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+ " --props " + propsFilePath + ", \n"
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+ " --hoodie-conf " + configs
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+ "\n}";
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) {
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return true;
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}
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if (o == null || getClass() != o.getClass()) {
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return false;
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}
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Config config = (Config) o;
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return basePath.equals(config.basePath)
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&& Objects.equals(tableName, config.tableName)
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&& Objects.equals(compactionInstantTime, config.compactionInstantTime)
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&& Objects.equals(parallelism, config.parallelism)
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&& Objects.equals(schemaFile, config.schemaFile)
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&& Objects.equals(sparkMaster, config.sparkMaster)
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&& Objects.equals(sparkMemory, config.sparkMemory)
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&& Objects.equals(retry, config.retry)
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&& Objects.equals(runSchedule, config.runSchedule)
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&& Objects.equals(runningMode, config.runningMode)
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&& Objects.equals(strategyClassName, config.strategyClassName)
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&& Objects.equals(propsFilePath, config.propsFilePath)
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&& Objects.equals(configs, config.configs);
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}
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@Override
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public int hashCode() {
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return Objects.hash(basePath, tableName, compactionInstantTime, schemaFile,
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sparkMaster, parallelism, sparkMemory, retry, runSchedule, runningMode, strategyClassName, propsFilePath, configs, help);
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}
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}
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public static void main(String[] args) {
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@@ -120,52 +182,115 @@ public class HoodieCompactor {
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public int compact(int retry) {
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this.fs = FSUtils.getFs(cfg.basePath, jsc.hadoopConfiguration());
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// need to do validate in case that users call compact() directly without setting cfg.runningMode
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validateRunningMode(cfg);
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LOG.info(cfg);
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int ret = UtilHelpers.retry(retry, () -> {
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if (cfg.runSchedule) {
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if (null == cfg.strategyClassName) {
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throw new IllegalArgumentException("Missing Strategy class name for running compaction");
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switch (cfg.runningMode.toLowerCase()) {
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case SCHEDULE: {
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LOG.info("Running Mode: [" + SCHEDULE + "]; Do schedule");
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Option<String> instantTime = doSchedule(jsc);
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int result = instantTime.isPresent() ? 0 : -1;
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if (result == 0) {
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LOG.info("The schedule instant time is " + instantTime.get());
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}
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return result;
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}
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case SCHEDULE_AND_EXECUTE: {
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LOG.info("Running Mode: [" + SCHEDULE_AND_EXECUTE + "]");
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return doScheduleAndCompact(jsc);
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}
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case EXECUTE: {
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LOG.info("Running Mode: [" + EXECUTE + "]; Do compaction");
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return doCompact(jsc);
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}
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default: {
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LOG.info("Unsupported running mode [" + cfg.runningMode + "], quit the job directly");
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return -1;
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}
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return doSchedule(jsc);
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} else {
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return doCompact(jsc);
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}
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}, "Compact failed");
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return ret;
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}
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private int doCompact(JavaSparkContext jsc) throws Exception {
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// Get schema.
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String schemaStr = UtilHelpers.parseSchema(fs, cfg.schemaFile);
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SparkRDDWriteClient<HoodieRecordPayload> client =
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UtilHelpers.createHoodieClient(jsc, cfg.basePath, schemaStr, cfg.parallelism, Option.empty(), props);
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// If no compaction instant is provided by --instant-time, find the earliest scheduled compaction
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// instant from the active timeline
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if (StringUtils.isNullOrEmpty(cfg.compactionInstantTime)) {
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HoodieTableMetaClient metaClient = UtilHelpers.createMetaClient(jsc, cfg.basePath, true);
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Option<HoodieInstant> firstCompactionInstant =
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metaClient.getActiveTimeline().firstInstant(
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HoodieTimeline.COMPACTION_ACTION, HoodieInstant.State.REQUESTED);
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if (firstCompactionInstant.isPresent()) {
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cfg.compactionInstantTime = firstCompactionInstant.get().getTimestamp();
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LOG.info("Found the earliest scheduled compaction instant which will be executed: "
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+ cfg.compactionInstantTime);
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} else {
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throw new HoodieCompactionException("There is no scheduled compaction in the table.");
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}
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private Integer doScheduleAndCompact(JavaSparkContext jsc) throws Exception {
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LOG.info("Step 1: Do schedule");
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Option<String> instantTime = doSchedule(jsc);
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if (!instantTime.isPresent()) {
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LOG.warn("Couldn't do schedule");
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return -1;
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} else {
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cfg.compactionInstantTime = instantTime.get();
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}
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JavaRDD<WriteStatus> writeResponse = client.compact(cfg.compactionInstantTime);
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return UtilHelpers.handleErrors(jsc, cfg.compactionInstantTime, writeResponse);
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LOG.info("The schedule instant time is " + instantTime.get());
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LOG.info("Step 2: Do compaction");
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return doCompact(jsc);
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}
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private int doSchedule(JavaSparkContext jsc) throws Exception {
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// Get schema.
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SparkRDDWriteClient client =
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UtilHelpers.createHoodieClient(jsc, cfg.basePath, "", cfg.parallelism, Option.of(cfg.strategyClassName), props);
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if (StringUtils.isNullOrEmpty(cfg.compactionInstantTime)) {
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throw new IllegalArgumentException("No instant time is provided for scheduling compaction. "
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+ "Please specify the compaction instant time by using --instant-time.");
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// make sure that cfg.runningMode couldn't be null
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private static void validateRunningMode(Config cfg) {
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// --mode has a higher priority than --schedule
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// If we remove --schedule option in the future we need to change runningMode default value to EXECUTE
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if (StringUtils.isNullOrEmpty(cfg.runningMode)) {
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cfg.runningMode = cfg.runSchedule ? SCHEDULE : EXECUTE;
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}
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client.scheduleCompactionAtInstant(cfg.compactionInstantTime, Option.empty());
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return 0;
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}
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private int doCompact(JavaSparkContext jsc) throws Exception {
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// Get schema.
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String schemaStr;
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if (StringUtils.isNullOrEmpty(cfg.schemaFile)) {
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schemaStr = getSchemaFromLatestInstant();
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} else {
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schemaStr = UtilHelpers.parseSchema(fs, cfg.schemaFile);
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}
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LOG.info("Schema --> : " + schemaStr);
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try (SparkRDDWriteClient<HoodieRecordPayload> client =
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UtilHelpers.createHoodieClient(jsc, cfg.basePath, schemaStr, cfg.parallelism, Option.empty(), props)) {
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// If no compaction instant is provided by --instant-time, find the earliest scheduled compaction
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// instant from the active timeline
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if (StringUtils.isNullOrEmpty(cfg.compactionInstantTime)) {
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HoodieTableMetaClient metaClient = UtilHelpers.createMetaClient(jsc, cfg.basePath, true);
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Option<HoodieInstant> firstCompactionInstant =
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metaClient.getActiveTimeline().firstInstant(
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HoodieTimeline.COMPACTION_ACTION, HoodieInstant.State.REQUESTED);
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if (firstCompactionInstant.isPresent()) {
|
||||
cfg.compactionInstantTime = firstCompactionInstant.get().getTimestamp();
|
||||
LOG.info("Found the earliest scheduled compaction instant which will be executed: "
|
||||
+ cfg.compactionInstantTime);
|
||||
} else {
|
||||
throw new HoodieCompactionException("There is no scheduled compaction in the table.");
|
||||
}
|
||||
}
|
||||
JavaRDD<WriteStatus> writeResponse = client.compact(cfg.compactionInstantTime);
|
||||
return UtilHelpers.handleErrors(jsc, cfg.compactionInstantTime, writeResponse);
|
||||
}
|
||||
}
|
||||
|
||||
private Option<String> doSchedule(JavaSparkContext jsc) {
|
||||
try (SparkRDDWriteClient client =
|
||||
UtilHelpers.createHoodieClient(jsc, cfg.basePath, "", cfg.parallelism, Option.of(cfg.strategyClassName), props)) {
|
||||
|
||||
if (StringUtils.isNullOrEmpty(cfg.compactionInstantTime)) {
|
||||
LOG.warn("No instant time is provided for scheduling compaction.");
|
||||
return client.scheduleCompaction(Option.empty());
|
||||
}
|
||||
|
||||
client.scheduleCompactionAtInstant(cfg.compactionInstantTime, Option.empty());
|
||||
return Option.of(cfg.compactionInstantTime);
|
||||
}
|
||||
}
|
||||
|
||||
private String getSchemaFromLatestInstant() throws Exception {
|
||||
TableSchemaResolver schemaUtil = new TableSchemaResolver(metaClient);
|
||||
if (metaClient.getActiveTimeline().getCommitsTimeline().filterCompletedInstants().countInstants() == 0) {
|
||||
throw new HoodieException("Cannot run compaction without any completed commits");
|
||||
}
|
||||
Schema schema = schemaUtil.getTableAvroSchema(false);
|
||||
return schema.toString();
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user