yihua commented on a change in pull request #4721: URL: https://github.com/apache/hudi/pull/4721#discussion_r798060158
########## File path: hudi-utilities/src/main/java/org/apache/hudi/utilities/HoodieMetadataTableValidator.java ########## @@ -0,0 +1,458 @@ +/* + * 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.utilities; + +import com.beust.jcommander.JCommander; +import com.beust.jcommander.Parameter; +import org.apache.hadoop.fs.Path; +import org.apache.hudi.async.HoodieAsyncService; +import org.apache.hudi.client.common.HoodieSparkEngineContext; +import org.apache.hudi.common.config.HoodieMetadataConfig; +import org.apache.hudi.common.config.TypedProperties; +import org.apache.hudi.common.fs.FSUtils; +import org.apache.hudi.common.model.FileSlice; +import org.apache.hudi.common.model.HoodieBaseFile; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.view.FileSystemViewManager; +import org.apache.hudi.common.table.view.HoodieTableFileSystemView; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.common.util.collection.Pair; +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.exception.HoodieValidationException; + +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaSparkContext; + +import java.io.Serializable; +import java.util.ArrayList; +import java.util.Collection; +import java.util.Comparator; +import java.util.List; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.stream.Collectors; + +/** + * A validator with spark-submit to compare list partitions and list files between metadata table and filesystem + * <p> + * You can specify the running mode of the validator through `--mode`. + * There are 2 modes of the {@link HoodieMetadataTableValidator}: + * - CONTINUOUS : This validator will compare the result of listing partitions/listing files between metadata table and filesystem every 10 minutes(default). + * <p> + * Example command: + * ``` + * spark-submit \ + * --class org.apache.hudi.utilities.HoodieMetadataTableValidator \ + * --packages org.apache.spark:spark-avro_2.11:2.4.4 \ + * --master spark://xxxx:7077 \ + * --driver-memory 1g \ + * --executor-memory 1g \ + * $HUDI_DIR/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.11.0-SNAPSHOT.jar \ + * --base-path basePath \ + * --min-validate-interval-seconds 60 \ + * --mode CONTINUOUS Review comment: I feel that the option `--mode CONTINUOUS` can be simplified by `--continuous` like Deltastreamer. By default, the validation only runs once. ########## File path: hudi-utilities/src/main/java/org/apache/hudi/utilities/HoodieMetadataTableValidator.java ########## @@ -0,0 +1,458 @@ +/* + * 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.utilities; + +import com.beust.jcommander.JCommander; +import com.beust.jcommander.Parameter; +import org.apache.hadoop.fs.Path; +import org.apache.hudi.async.HoodieAsyncService; +import org.apache.hudi.client.common.HoodieSparkEngineContext; +import org.apache.hudi.common.config.HoodieMetadataConfig; +import org.apache.hudi.common.config.TypedProperties; +import org.apache.hudi.common.fs.FSUtils; +import org.apache.hudi.common.model.FileSlice; +import org.apache.hudi.common.model.HoodieBaseFile; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.view.FileSystemViewManager; +import org.apache.hudi.common.table.view.HoodieTableFileSystemView; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.common.util.collection.Pair; +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.exception.HoodieValidationException; + +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaSparkContext; + +import java.io.Serializable; +import java.util.ArrayList; +import java.util.Collection; +import java.util.Comparator; +import java.util.List; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.stream.Collectors; + +/** + * A validator with spark-submit to compare list partitions and list files between metadata table and filesystem + * <p> + * You can specify the running mode of the validator through `--mode`. + * There are 2 modes of the {@link HoodieMetadataTableValidator}: + * - CONTINUOUS : This validator will compare the result of listing partitions/listing files between metadata table and filesystem every 10 minutes(default). + * <p> + * Example command: + * ``` + * spark-submit \ + * --class org.apache.hudi.utilities.HoodieMetadataTableValidator \ + * --packages org.apache.spark:spark-avro_2.11:2.4.4 \ + * --master spark://xxxx:7077 \ + * --driver-memory 1g \ + * --executor-memory 1g \ + * $HUDI_DIR/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.11.0-SNAPSHOT.jar \ + * --base-path basePath \ + * --min-validate-interval-seconds 60 \ + * --mode CONTINUOUS + * ``` + * + * <p> + * You can specify the running mode of the validator through `--mode`. + * There are 2 modes of the {@link HoodieMetadataTableValidator}: Review comment: nit: this is repeated. Can it be removed? ########## File path: hudi-utilities/src/main/java/org/apache/hudi/utilities/HoodieMetadataTableValidator.java ########## @@ -0,0 +1,458 @@ +/* + * 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.utilities; + +import com.beust.jcommander.JCommander; +import com.beust.jcommander.Parameter; +import org.apache.hadoop.fs.Path; +import org.apache.hudi.async.HoodieAsyncService; +import org.apache.hudi.client.common.HoodieSparkEngineContext; +import org.apache.hudi.common.config.HoodieMetadataConfig; +import org.apache.hudi.common.config.TypedProperties; +import org.apache.hudi.common.fs.FSUtils; +import org.apache.hudi.common.model.FileSlice; +import org.apache.hudi.common.model.HoodieBaseFile; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.view.FileSystemViewManager; +import org.apache.hudi.common.table.view.HoodieTableFileSystemView; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.common.util.collection.Pair; +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.exception.HoodieValidationException; + +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaSparkContext; + +import java.io.Serializable; +import java.util.ArrayList; +import java.util.Collection; +import java.util.Comparator; +import java.util.List; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.stream.Collectors; + +/** + * A validator with spark-submit to compare list partitions and list files between metadata table and filesystem + * <p> + * You can specify the running mode of the validator through `--mode`. + * There are 2 modes of the {@link HoodieMetadataTableValidator}: + * - CONTINUOUS : This validator will compare the result of listing partitions/listing files between metadata table and filesystem every 10 minutes(default). + * <p> + * Example command: + * ``` + * spark-submit \ + * --class org.apache.hudi.utilities.HoodieMetadataTableValidator \ + * --packages org.apache.spark:spark-avro_2.11:2.4.4 \ + * --master spark://xxxx:7077 \ + * --driver-memory 1g \ + * --executor-memory 1g \ + * $HUDI_DIR/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.11.0-SNAPSHOT.jar \ + * --base-path basePath \ + * --min-validate-interval-seconds 60 \ + * --mode CONTINUOUS + * ``` + * + * <p> + * You can specify the running mode of the validator through `--mode`. + * There are 2 modes of the {@link HoodieMetadataTableValidator}: + * - ONCE : This validator will compare the result of listing partitions/listing files between metadata table and filesystem only once. + * <p> + * Example command: + * ``` + * spark-submit \ + * --class org.apache.hudi.utilities.HoodieMetadataTableValidator \ + * --packages org.apache.spark:spark-avro_2.11:2.4.4 \ + * --master spark://xxxx:7077 \ + * --driver-memory 1g \ + * --executor-memory 1g \ + * $HUDI_DIR/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.11.0-SNAPSHOT.jar \ + * --base-path basePath \ + * --min-validate-interval-seconds 60 \ + * --mode ONCE + * ``` + * + */ +public class HoodieMetadataTableValidator { + + private static final Logger LOG = LogManager.getLogger(HoodieMetadataTableValidator.class); + + // Spark context + private transient JavaSparkContext jsc; + // config + private Config cfg; + // Properties with source, hoodie client, key generator etc. + private TypedProperties props; + + private HoodieTableMetaClient metaClient; + + protected transient Option<AsyncMetadataTableValidateService> asyncMetadataTableValidateService; + + public HoodieMetadataTableValidator(HoodieTableMetaClient metaClient) { + this.metaClient = metaClient; + } + + public HoodieMetadataTableValidator(JavaSparkContext jsc, Config cfg) { + this.jsc = jsc; + this.cfg = cfg; + + this.props = cfg.propsFilePath == null + ? UtilHelpers.buildProperties(cfg.configs) + : readConfigFromFileSystem(jsc, cfg); + + this.metaClient = HoodieTableMetaClient.builder() + .setConf(jsc.hadoopConfiguration()).setBasePath(cfg.basePath) + .setLoadActiveTimelineOnLoad(true) + .build(); + + this.asyncMetadataTableValidateService = cfg.runningMode.equalsIgnoreCase(Mode.CONTINUOUS.name()) + ? Option.of(new AsyncMetadataTableValidateService()) : Option.empty(); + } + + /** + * Reads config from the file system. + * + * @param jsc {@link JavaSparkContext} instance. + * @param cfg {@link Config} instance. + * @return the {@link TypedProperties} instance. + */ + private TypedProperties readConfigFromFileSystem(JavaSparkContext jsc, Config cfg) { + return UtilHelpers.readConfig(jsc.hadoopConfiguration(), new Path(cfg.propsFilePath), cfg.configs) + .getProps(true); + } + + public enum Mode { + // Running MetadataTableValidator in continuous + CONTINUOUS, + // Running MetadataTableValidator once + ONCE + } + + public static class Config implements Serializable { + @Parameter(names = {"--base-path", "-sp"}, description = "Base path for the table", required = true) + public String basePath = null; + + @Parameter(names = {"--mode", "-m"}, description = "Set job mode: " + + "Set \"CONTINUOUS\" Running MetadataTableValidator in continuous" + + "Set \"ONCE\" Running MetadataTableValidator once", required = false) + public String runningMode = "once"; + + @Parameter(names = {"--min-validate-interval-seconds"}, + description = "the min validate interval of each validate in continuous mode, default is 10 minutes.") + public Integer minValidateIntervalSeconds = 10 * 60; + + @Parameter(names = {"--ignore-failed", "-ig"}, description = "Ignore metadata validate failure and continue.", required = false) + public boolean ignoreFailed = false; + + @Parameter(names = {"--spark-master", "-ms"}, description = "Spark master", required = false) + public String sparkMaster = null; + + @Parameter(names = {"--spark-memory", "-sm"}, description = "spark memory to use", required = false) + public String sparkMemory = "1g"; + + @Parameter(names = {"--assume-date-partitioning"}, description = "Should HoodieWriteClient assume the data is partitioned by dates, i.e three levels from base path." + + "This is a stop-gap to support tables created by versions < 0.3.1. Will be removed eventually", required = false) + public Boolean assumeDatePartitioning = false; + + @Parameter(names = {"--props"}, description = "path to properties file on localfs or dfs, with configurations for " + + "hoodie client") + public String propsFilePath = null; + + @Parameter(names = {"--hoodie-conf"}, description = "Any configuration that can be set in the properties file " + + "(using the CLI parameter \"--props\") can also be passed command line using this parameter. This can be repeated", + splitter = IdentitySplitter.class) + public List<String> configs = new ArrayList<>(); + + @Parameter(names = {"--help", "-h"}, help = true) + public Boolean help = false; + + @Override + public String toString() { + return "MetadataTableValidatorConfig {\n" + + " --base-path " + basePath + ", \n" + + " --mode " + runningMode + ", \n" + + " --min-validate-interval-seconds " + minValidateIntervalSeconds + ", \n" + + " --spark-master " + sparkMaster + ", \n" + + " --spark-memory " + sparkMemory + ", \n" + + " --assumeDatePartitioning-memory " + assumeDatePartitioning + ", \n" + + " --props " + propsFilePath + ", \n" + + " --hoodie-conf " + configs + + "\n}"; + } + + @Override + public boolean equals(Object o) { + if (this == o) { + return true; + } + if (o == null || getClass() != o.getClass()) { + return false; + } + Config config = (Config) o; + return basePath.equals(config.basePath) + && Objects.equals(runningMode, config.runningMode) + && Objects.equals(minValidateIntervalSeconds, config.minValidateIntervalSeconds) + && Objects.equals(sparkMaster, config.sparkMaster) + && Objects.equals(sparkMemory, config.sparkMemory) + && Objects.equals(assumeDatePartitioning, config.assumeDatePartitioning) + && Objects.equals(propsFilePath, config.propsFilePath) + && Objects.equals(configs, config.configs); + } + + @Override + public int hashCode() { + return Objects.hash(basePath, runningMode, minValidateIntervalSeconds, sparkMaster, + sparkMemory, assumeDatePartitioning, propsFilePath, configs, help); + } + } + + public static void main(String[] args) { + final Config cfg = new Config(); + JCommander cmd = new JCommander(cfg, null, args); + + if (cfg.help || args.length == 0) { + cmd.usage(); + System.exit(1); + } + + SparkConf sparkConf = UtilHelpers.buildSparkConf("Hoodie-Metadata-Table-Validator", cfg.sparkMaster); + sparkConf.set("spark.executor.memory", cfg.sparkMemory); + JavaSparkContext jsc = new JavaSparkContext(sparkConf); + + HoodieMetadataTableValidator validator = new HoodieMetadataTableValidator(jsc, cfg); + + try { + validator.run(); + } catch (Throwable throwable) { + LOG.error("Fail to do hoodie metadata table validation for " + validator.cfg, throwable); + } finally { + jsc.stop(); + } + } + + public void run() { + try { + LOG.info(cfg); + Mode mode = Mode.valueOf(cfg.runningMode.toUpperCase()); + switch (mode) { + case CONTINUOUS: + LOG.info(" ****** do hoodie metadata table validation in CONTINUOUS mode ******"); + doHoodieMetadataTableValidationContinuous(); + break; + case ONCE: + LOG.info(" ****** do hoodie metadata table validation once ******"); + doHoodieMetadataTableValidationOnce(); + break; + default: + LOG.info("Unsupported running mode [" + cfg.runningMode + "], quit the job directly"); + } + } catch (Exception e) { + throw new HoodieException("Unable to do hoodie metadata table validation in " + cfg.basePath, e); + } finally { + + if (asyncMetadataTableValidateService.isPresent()) { + asyncMetadataTableValidateService.get().shutdown(true); + } + } + } + + private void doHoodieMetadataTableValidationOnce() { + doMetaTableValidation(); + } + + private void doHoodieMetadataTableValidationContinuous() { + asyncMetadataTableValidateService.ifPresent(service -> { + service.start(null); + try { + service.waitForShutdown(); + } catch (Exception e) { + throw new HoodieException(e.getMessage(), e); + } + }); + } + + public void doMetaTableValidation() { + metaClient.reloadActiveTimeline(); + String basePath = metaClient.getBasePath(); + HoodieSparkEngineContext engineContext = new HoodieSparkEngineContext(jsc); + + List<String> allPartitions = validatePartitions(engineContext, basePath); + + for (String partitionPath : allPartitions) { + validateFilesInPartition(engineContext, partitionPath); + } + + LOG.info("MetaTable Validation Success."); + } + + /** + * Compare the listing partitions result between metadata table and fileSystem. + */ + private List<String> validatePartitions(HoodieSparkEngineContext engineContext, String basePath) { + // compare partitions + List<String> allPartitionPathsFromFS = FSUtils.getAllPartitionPaths(engineContext, basePath, false, cfg.assumeDatePartitioning); + List<String> allPartitionPathsMeta = FSUtils.getAllPartitionPaths(engineContext, basePath, true, cfg.assumeDatePartitioning); + + if (!compareCollectionResult(allPartitionPathsFromFS, allPartitionPathsMeta)) { + String message = "Compare Partitions Failed! " + "AllPartitionPathsFromFS : " + allPartitionPathsFromFS + " and allPartitionPathsMeta : " + allPartitionPathsMeta; + LOG.error(message); + throw new HoodieValidationException(message); + } + + return allPartitionPathsMeta; + } + + /** + * Compare the listing files result between metadata table and fileSystem. + * For now, validate two kinds of apis: + * 1. getLatestFileSlices + * 2. getLatestBaseFiles + * @param engineContext + * @param partitionPath + */ + private void validateFilesInPartition(HoodieSparkEngineContext engineContext, String partitionPath) { + HoodieTableFileSystemView metaFsView = null; + HoodieTableFileSystemView fsView = null; + + try { + metaFsView = createHoodieTableFileSystemView(engineContext, true); + fsView = createHoodieTableFileSystemView(engineContext, false); + + validateLatestFileSlices(metaFsView, fsView, partitionPath); + validateLatestBaseFiles(metaFsView, fsView, partitionPath); + Review comment: Let's also validate `getAllFileGroups()`, i.e., all file groups, and all file slices within file groups, besides the latest, to make sure that older file slices can still be listed correctly with metadata table. ########## File path: hudi-utilities/src/main/java/org/apache/hudi/utilities/HoodieMetadataTableValidator.java ########## @@ -0,0 +1,458 @@ +/* + * 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.utilities; + +import com.beust.jcommander.JCommander; +import com.beust.jcommander.Parameter; +import org.apache.hadoop.fs.Path; +import org.apache.hudi.async.HoodieAsyncService; +import org.apache.hudi.client.common.HoodieSparkEngineContext; +import org.apache.hudi.common.config.HoodieMetadataConfig; +import org.apache.hudi.common.config.TypedProperties; +import org.apache.hudi.common.fs.FSUtils; +import org.apache.hudi.common.model.FileSlice; +import org.apache.hudi.common.model.HoodieBaseFile; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.view.FileSystemViewManager; +import org.apache.hudi.common.table.view.HoodieTableFileSystemView; +import org.apache.hudi.common.util.Option; +import org.apache.hudi.common.util.collection.Pair; +import org.apache.hudi.exception.HoodieException; +import org.apache.hudi.exception.HoodieValidationException; + +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaSparkContext; + +import java.io.Serializable; +import java.util.ArrayList; +import java.util.Collection; +import java.util.Comparator; +import java.util.List; +import java.util.Objects; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.stream.Collectors; + +/** + * A validator with spark-submit to compare list partitions and list files between metadata table and filesystem + * <p> + * You can specify the running mode of the validator through `--mode`. + * There are 2 modes of the {@link HoodieMetadataTableValidator}: + * - CONTINUOUS : This validator will compare the result of listing partitions/listing files between metadata table and filesystem every 10 minutes(default). + * <p> + * Example command: + * ``` + * spark-submit \ + * --class org.apache.hudi.utilities.HoodieMetadataTableValidator \ + * --packages org.apache.spark:spark-avro_2.11:2.4.4 \ + * --master spark://xxxx:7077 \ + * --driver-memory 1g \ + * --executor-memory 1g \ + * $HUDI_DIR/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.11.0-SNAPSHOT.jar \ + * --base-path basePath \ + * --min-validate-interval-seconds 60 \ + * --mode CONTINUOUS + * ``` + * + * <p> + * You can specify the running mode of the validator through `--mode`. + * There are 2 modes of the {@link HoodieMetadataTableValidator}: + * - ONCE : This validator will compare the result of listing partitions/listing files between metadata table and filesystem only once. + * <p> + * Example command: + * ``` + * spark-submit \ + * --class org.apache.hudi.utilities.HoodieMetadataTableValidator \ + * --packages org.apache.spark:spark-avro_2.11:2.4.4 \ + * --master spark://xxxx:7077 \ + * --driver-memory 1g \ + * --executor-memory 1g \ + * $HUDI_DIR/hudi/packaging/hudi-utilities-bundle/target/hudi-utilities-bundle_2.11-0.11.0-SNAPSHOT.jar \ + * --base-path basePath \ + * --min-validate-interval-seconds 60 \ + * --mode ONCE + * ``` + * + */ +public class HoodieMetadataTableValidator { + + private static final Logger LOG = LogManager.getLogger(HoodieMetadataTableValidator.class); + + // Spark context + private transient JavaSparkContext jsc; + // config + private Config cfg; + // Properties with source, hoodie client, key generator etc. + private TypedProperties props; + + private HoodieTableMetaClient metaClient; + + protected transient Option<AsyncMetadataTableValidateService> asyncMetadataTableValidateService; + + public HoodieMetadataTableValidator(HoodieTableMetaClient metaClient) { + this.metaClient = metaClient; + } + + public HoodieMetadataTableValidator(JavaSparkContext jsc, Config cfg) { + this.jsc = jsc; + this.cfg = cfg; + + this.props = cfg.propsFilePath == null + ? UtilHelpers.buildProperties(cfg.configs) + : readConfigFromFileSystem(jsc, cfg); + + this.metaClient = HoodieTableMetaClient.builder() + .setConf(jsc.hadoopConfiguration()).setBasePath(cfg.basePath) + .setLoadActiveTimelineOnLoad(true) + .build(); + + this.asyncMetadataTableValidateService = cfg.runningMode.equalsIgnoreCase(Mode.CONTINUOUS.name()) + ? Option.of(new AsyncMetadataTableValidateService()) : Option.empty(); + } + + /** + * Reads config from the file system. + * + * @param jsc {@link JavaSparkContext} instance. + * @param cfg {@link Config} instance. + * @return the {@link TypedProperties} instance. + */ + private TypedProperties readConfigFromFileSystem(JavaSparkContext jsc, Config cfg) { + return UtilHelpers.readConfig(jsc.hadoopConfiguration(), new Path(cfg.propsFilePath), cfg.configs) + .getProps(true); + } + + public enum Mode { + // Running MetadataTableValidator in continuous + CONTINUOUS, + // Running MetadataTableValidator once + ONCE + } + + public static class Config implements Serializable { + @Parameter(names = {"--base-path", "-sp"}, description = "Base path for the table", required = true) + public String basePath = null; + + @Parameter(names = {"--mode", "-m"}, description = "Set job mode: " + + "Set \"CONTINUOUS\" Running MetadataTableValidator in continuous" + + "Set \"ONCE\" Running MetadataTableValidator once", required = false) + public String runningMode = "once"; + + @Parameter(names = {"--min-validate-interval-seconds"}, + description = "the min validate interval of each validate in continuous mode, default is 10 minutes.") + public Integer minValidateIntervalSeconds = 10 * 60; + + @Parameter(names = {"--ignore-failed", "-ig"}, description = "Ignore metadata validate failure and continue.", required = false) + public boolean ignoreFailed = false; + + @Parameter(names = {"--spark-master", "-ms"}, description = "Spark master", required = false) + public String sparkMaster = null; + + @Parameter(names = {"--spark-memory", "-sm"}, description = "spark memory to use", required = false) + public String sparkMemory = "1g"; + + @Parameter(names = {"--assume-date-partitioning"}, description = "Should HoodieWriteClient assume the data is partitioned by dates, i.e three levels from base path." + + "This is a stop-gap to support tables created by versions < 0.3.1. Will be removed eventually", required = false) + public Boolean assumeDatePartitioning = false; + + @Parameter(names = {"--props"}, description = "path to properties file on localfs or dfs, with configurations for " + + "hoodie client") + public String propsFilePath = null; + + @Parameter(names = {"--hoodie-conf"}, description = "Any configuration that can be set in the properties file " + + "(using the CLI parameter \"--props\") can also be passed command line using this parameter. This can be repeated", + splitter = IdentitySplitter.class) + public List<String> configs = new ArrayList<>(); + + @Parameter(names = {"--help", "-h"}, help = true) + public Boolean help = false; + + @Override + public String toString() { + return "MetadataTableValidatorConfig {\n" + + " --base-path " + basePath + ", \n" + + " --mode " + runningMode + ", \n" + + " --min-validate-interval-seconds " + minValidateIntervalSeconds + ", \n" + + " --spark-master " + sparkMaster + ", \n" + + " --spark-memory " + sparkMemory + ", \n" + + " --assumeDatePartitioning-memory " + assumeDatePartitioning + ", \n" + + " --props " + propsFilePath + ", \n" + + " --hoodie-conf " + configs + + "\n}"; + } + + @Override + public boolean equals(Object o) { + if (this == o) { + return true; + } + if (o == null || getClass() != o.getClass()) { + return false; + } + Config config = (Config) o; + return basePath.equals(config.basePath) + && Objects.equals(runningMode, config.runningMode) + && Objects.equals(minValidateIntervalSeconds, config.minValidateIntervalSeconds) + && Objects.equals(sparkMaster, config.sparkMaster) + && Objects.equals(sparkMemory, config.sparkMemory) + && Objects.equals(assumeDatePartitioning, config.assumeDatePartitioning) + && Objects.equals(propsFilePath, config.propsFilePath) + && Objects.equals(configs, config.configs); + } + + @Override + public int hashCode() { + return Objects.hash(basePath, runningMode, minValidateIntervalSeconds, sparkMaster, + sparkMemory, assumeDatePartitioning, propsFilePath, configs, help); + } + } + + public static void main(String[] args) { + final Config cfg = new Config(); + JCommander cmd = new JCommander(cfg, null, args); + + if (cfg.help || args.length == 0) { + cmd.usage(); + System.exit(1); + } + + SparkConf sparkConf = UtilHelpers.buildSparkConf("Hoodie-Metadata-Table-Validator", cfg.sparkMaster); + sparkConf.set("spark.executor.memory", cfg.sparkMemory); + JavaSparkContext jsc = new JavaSparkContext(sparkConf); + + HoodieMetadataTableValidator validator = new HoodieMetadataTableValidator(jsc, cfg); + + try { + validator.run(); + } catch (Throwable throwable) { + LOG.error("Fail to do hoodie metadata table validation for " + validator.cfg, throwable); + } finally { + jsc.stop(); + } + } + + public void run() { + try { + LOG.info(cfg); + Mode mode = Mode.valueOf(cfg.runningMode.toUpperCase()); + switch (mode) { + case CONTINUOUS: + LOG.info(" ****** do hoodie metadata table validation in CONTINUOUS mode ******"); + doHoodieMetadataTableValidationContinuous(); + break; + case ONCE: + LOG.info(" ****** do hoodie metadata table validation once ******"); + doHoodieMetadataTableValidationOnce(); + break; + default: + LOG.info("Unsupported running mode [" + cfg.runningMode + "], quit the job directly"); + } + } catch (Exception e) { + throw new HoodieException("Unable to do hoodie metadata table validation in " + cfg.basePath, e); + } finally { + + if (asyncMetadataTableValidateService.isPresent()) { + asyncMetadataTableValidateService.get().shutdown(true); + } + } + } + + private void doHoodieMetadataTableValidationOnce() { + doMetaTableValidation(); + } + + private void doHoodieMetadataTableValidationContinuous() { + asyncMetadataTableValidateService.ifPresent(service -> { + service.start(null); + try { + service.waitForShutdown(); + } catch (Exception e) { + throw new HoodieException(e.getMessage(), e); + } + }); + } + + public void doMetaTableValidation() { + metaClient.reloadActiveTimeline(); + String basePath = metaClient.getBasePath(); + HoodieSparkEngineContext engineContext = new HoodieSparkEngineContext(jsc); + + List<String> allPartitions = validatePartitions(engineContext, basePath); + + for (String partitionPath : allPartitions) { + validateFilesInPartition(engineContext, partitionPath); + } + + LOG.info("MetaTable Validation Success."); + } + + /** + * Compare the listing partitions result between metadata table and fileSystem. + */ + private List<String> validatePartitions(HoodieSparkEngineContext engineContext, String basePath) { + // compare partitions + List<String> allPartitionPathsFromFS = FSUtils.getAllPartitionPaths(engineContext, basePath, false, cfg.assumeDatePartitioning); + List<String> allPartitionPathsMeta = FSUtils.getAllPartitionPaths(engineContext, basePath, true, cfg.assumeDatePartitioning); + + if (!compareCollectionResult(allPartitionPathsFromFS, allPartitionPathsMeta)) { + String message = "Compare Partitions Failed! " + "AllPartitionPathsFromFS : " + allPartitionPathsFromFS + " and allPartitionPathsMeta : " + allPartitionPathsMeta; + LOG.error(message); + throw new HoodieValidationException(message); + } + + return allPartitionPathsMeta; + } + + /** + * Compare the listing files result between metadata table and fileSystem. + * For now, validate two kinds of apis: + * 1. getLatestFileSlices + * 2. getLatestBaseFiles + * @param engineContext + * @param partitionPath + */ + private void validateFilesInPartition(HoodieSparkEngineContext engineContext, String partitionPath) { + HoodieTableFileSystemView metaFsView = null; + HoodieTableFileSystemView fsView = null; + + try { + metaFsView = createHoodieTableFileSystemView(engineContext, true); + fsView = createHoodieTableFileSystemView(engineContext, false); + + validateLatestFileSlices(metaFsView, fsView, partitionPath); + validateLatestBaseFiles(metaFsView, fsView, partitionPath); + + } finally { + if (metaFsView != null) { + metaFsView.close(); + } + + if (fsView != null) { + fsView.close(); + } + } + } + + /** + * Compare getLatestBaseFiles between metadata table and fileSystem. + */ + private void validateLatestBaseFiles(HoodieTableFileSystemView metaFsView, HoodieTableFileSystemView fsView, String partitionPath) { + + List<HoodieBaseFile> latestFilesFromMetadata = metaFsView.getLatestBaseFiles(partitionPath).sorted(new HoodieBaseFileCompactor()).collect(Collectors.toList()); + List<HoodieBaseFile> latestFilesFromFS = fsView.getLatestBaseFiles(partitionPath).sorted(new HoodieBaseFileCompactor()).collect(Collectors.toList()); + + LOG.info("Latest base file from metadata: " + latestFilesFromMetadata); + LOG.info("Latest base file from direct listing: " + latestFilesFromFS); + if (!latestFilesFromMetadata.equals(latestFilesFromFS)) { + String message = "Validation of metadata get latest base file for partition " + partitionPath + " failed. " + + "Latest base file from metadata: " + latestFilesFromMetadata + + "Latest base file from direct listing: " + latestFilesFromFS; + LOG.error(message); + throw new HoodieValidationException(message); + } else { + LOG.info("Validation of getLatestBaseFiles success."); + } + } + + /** + * Compare getLatestFileSlices between metadata table and fileSystem. + */ + private void validateLatestFileSlices(HoodieTableFileSystemView metaFsView, HoodieTableFileSystemView fsView, String partitionPath) { + + List<FileSlice> latestFileSlicesFromMetadataTable = metaFsView.getLatestFileSlices(partitionPath).sorted(new FileSliceCompactor()).collect(Collectors.toList()); + List<FileSlice> latestFileSlicesFromFS = fsView.getLatestFileSlices(partitionPath).sorted(new FileSliceCompactor()).collect(Collectors.toList()); + + LOG.info("Latest file list from metadata: " + latestFileSlicesFromMetadataTable); + LOG.info("Latest file list from direct listing: " + latestFileSlicesFromFS); + if (!latestFileSlicesFromMetadataTable.equals(latestFileSlicesFromFS)) { + String message = "Validation of metadata get latest file slices for partition " + partitionPath + " failed. " + + "Latest file list from metadata: " + latestFileSlicesFromMetadataTable + + "Latest file list from direct listing: " + latestFileSlicesFromFS; + LOG.error(message); + throw new HoodieValidationException(message); + } else { + LOG.info("Validation of getLatestFileSlices success."); + } + } + + private HoodieTableFileSystemView createHoodieTableFileSystemView(HoodieSparkEngineContext engineContext, boolean enableMetadataTable) { + + HoodieMetadataConfig metadataConfig = HoodieMetadataConfig.newBuilder() + .enable(enableMetadataTable) + .withAssumeDatePartitioning(cfg.assumeDatePartitioning) + .build(); + + return FileSystemViewManager.createInMemoryFileSystemView(engineContext, + metaClient, metadataConfig); + } + + protected boolean compareCollectionResult(Collection<String> c1, Collection<String> c2) { + return c1.size() == c2.size() && c1.containsAll(c2) && c1.containsAll(c2); Review comment: Could `containsAll` be slow, if the Collection is List? -- This is an automated message from the Apache Git Service. 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