From commits-return-12333-archive-asf-public=cust-asf.ponee.io@hudi.apache.org Sun Mar 1 03:34:38 2020 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [207.244.88.153]) by mx-eu-01.ponee.io (Postfix) with SMTP id A807618060E for ; Sun, 1 Mar 2020 04:34:37 +0100 (CET) Received: (qmail 63498 invoked by uid 500); 1 Mar 2020 03:34:36 -0000 Mailing-List: contact commits-help@hudi.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@hudi.apache.org Delivered-To: mailing list commits@hudi.apache.org Received: (qmail 63489 invoked by uid 99); 1 Mar 2020 03:34:35 -0000 Received: from ec2-52-202-80-70.compute-1.amazonaws.com (HELO gitbox.apache.org) (52.202.80.70) by apache.org (qpsmtpd/0.29) with ESMTP; Sun, 01 Mar 2020 03:34:35 +0000 From: GitBox To: commits@hudi.apache.org Subject: [GitHub] [incubator-hudi] OpenOpened commented on a change in pull request #1360: [HUDI-344][RFC-09] Hudi Dataset Snapshot Exporter Message-ID: <158303367556.13413.15773341201190709164.gitbox@gitbox.apache.org> References: In-Reply-To: Date: Sun, 01 Mar 2020 03:34:35 -0000 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit OpenOpened commented on a change in pull request #1360: [HUDI-344][RFC-09] Hudi Dataset Snapshot Exporter URL: https://github.com/apache/incubator-hudi/pull/1360#discussion_r386073635 ########## File path: hudi-utilities/src/main/java/org/apache/hudi/utilities/HoodieSnapshotExporter.java ########## @@ -0,0 +1,219 @@ +/* + * 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.FileStatus; +import org.apache.hadoop.fs.FileSystem; +import org.apache.hadoop.fs.FileUtil; +import org.apache.hadoop.fs.Path; +import org.apache.hudi.common.util.StringUtils; +import org.apache.hudi.common.SerializableConfiguration; +import org.apache.hudi.common.model.HoodiePartitionMetadata; +import org.apache.hudi.common.table.HoodieTableConfig; +import org.apache.hudi.common.table.HoodieTableMetaClient; +import org.apache.hudi.common.table.HoodieTimeline; +import org.apache.hudi.common.table.TableFileSystemView; +import org.apache.hudi.common.table.timeline.HoodieInstant; +import org.apache.hudi.common.table.view.HoodieTableFileSystemView; +import org.apache.hudi.common.util.FSUtils; +import org.apache.hudi.common.util.Option; +import org.apache.log4j.LogManager; +import org.apache.log4j.Logger; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.Column; +import org.apache.spark.sql.SaveMode; +import org.apache.spark.sql.SparkSession; + +import scala.Tuple2; +import scala.collection.JavaConversions; + +import java.io.IOException; +import java.io.Serializable; +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +/** + * Export the latest records of Hudi dataset to a set of external files (e.g., plain parquet files). + */ + +public class HoodieSnapshotExporter { + private static final Logger LOG = LogManager.getLogger(HoodieSnapshotExporter.class); + + public static class Config implements Serializable { + @Parameter(names = {"--source-base-path", "-sbp"}, description = "Base path for the source Hudi dataset to be snapshotted", required = true) + String basePath = null; + + @Parameter(names = {"--target-base-path", "-tbp"}, description = "Base path for the target output files (snapshots)", required = true) + String outputPath = null; + + @Parameter(names = {"--snapshot-prefix", "-sp"}, description = "Snapshot prefix or directory under the target base path in order to segregate different snapshots") + String snapshotPrefix; + + @Parameter(names = {"--output-format", "-of"}, description = "e.g. Hudi or Parquet", required = true) + String outputFormat; + + @Parameter(names = {"--output-partition-field", "-opf"}, description = "A field to be used by Spark repartitioning") + String outputPartitionField; + } + + public void export(SparkSession spark, Config cfg) throws IOException { + String sourceBasePath = cfg.basePath; + String targetBasePath = cfg.outputPath; + String snapshotPrefix = cfg.snapshotPrefix; + String outputFormat = cfg.outputFormat; + String outputPartitionField = cfg.outputPartitionField; + JavaSparkContext jsc = new JavaSparkContext(spark.sparkContext()); + FileSystem fs = FSUtils.getFs(sourceBasePath, jsc.hadoopConfiguration()); + + final SerializableConfiguration serConf = new SerializableConfiguration(jsc.hadoopConfiguration()); + final HoodieTableMetaClient tableMetadata = new HoodieTableMetaClient(fs.getConf(), sourceBasePath); + final TableFileSystemView.BaseFileOnlyView fsView = new HoodieTableFileSystemView(tableMetadata, + tableMetadata.getActiveTimeline().getCommitsTimeline().filterCompletedInstants()); + // Get the latest commit + Option latestCommit = + tableMetadata.getActiveTimeline().getCommitsTimeline().filterCompletedInstants().lastInstant(); + if (!latestCommit.isPresent()) { + LOG.warn("No commits present. Nothing to snapshot"); + return; + } + final String latestCommitTimestamp = latestCommit.get().getTimestamp(); + LOG.info(String.format("Starting to snapshot latest version files which are also no-late-than %s.", + latestCommitTimestamp)); + + List partitions = FSUtils.getAllPartitionPaths(fs, sourceBasePath, false); + if (partitions.size() > 0) { + List dataFiles = new ArrayList<>(); + + if (!StringUtils.isNullOrEmpty(snapshotPrefix)) { + for (String partition : partitions) { + if (partition.contains(snapshotPrefix)) { + dataFiles.addAll(fsView.getLatestBaseFilesBeforeOrOn(partition, latestCommitTimestamp).map(f -> f.getPath()).collect(Collectors.toList())); + } + } + } else { + for (String partition : partitions) { + dataFiles.addAll(fsView.getLatestBaseFilesBeforeOrOn(partition, latestCommitTimestamp).map(f -> f.getPath()).collect(Collectors.toList())); + } + } + + if (!outputFormat.equalsIgnoreCase("hudi")) { Review comment: Here, exporter not only supports the conversion of hudi data sets to parquet, but also supports all data types currently supported by spark, such as json or jdbc or avro conversion. The .format () method is the key. Of course, in Exporter, it is only divided into hudi type or not. If it is, then you can copy the relevant files to the specified directory. If not, you can read and convert it. I don't think "switch cases" are needed here. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: users@infra.apache.org With regards, Apache Git Services