[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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