ajantha-bhat commented on code in PR #12451: URL: https://github.com/apache/iceberg/pull/12451#discussion_r1979603690
########## spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/actions/ComputePartitionStatsSparkAction.java: ########## @@ -0,0 +1,88 @@ +/* + * 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.iceberg.spark.actions; + +import java.io.IOException; +import org.apache.iceberg.PartitionStatisticsFile; +import org.apache.iceberg.Table; +import org.apache.iceberg.actions.ComputePartitionStats; +import org.apache.iceberg.actions.ImmutableComputePartitionStats; +import org.apache.iceberg.data.PartitionStatsHandler; +import org.apache.iceberg.spark.JobGroupInfo; +import org.apache.spark.sql.SparkSession; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** + * Computes and writes the partition statistics for an Iceberg table. Also registers it to table + * metadata. Uses default branch if not specified. + */ +public class ComputePartitionStatsSparkAction + extends BaseSparkAction<ComputePartitionStatsSparkAction> implements ComputePartitionStats { + + private static final Logger LOG = LoggerFactory.getLogger(ComputePartitionStatsSparkAction.class); + private static final Result EMPTY_RESULT = + ImmutableComputePartitionStats.Result.builder().build(); + + private final Table table; + private String branch; + + ComputePartitionStatsSparkAction(SparkSession spark, Table table) { + super(spark); + this.table = table; + } + + @Override + protected ComputePartitionStatsSparkAction self() { + return this; + } + + @Override + public ComputePartitionStats branch(String branchName) { + this.branch = branchName; + return this; + } + + @Override + public Result execute() { + JobGroupInfo info = newJobGroupInfo("COMPUTE-PARTITION-STATS", jobDesc()); + return withJobGroupInfo(info, this::doExecute); + } + + private Result doExecute() { + LOG.info("Computing partition stats for {} (branch {})", table.name(), branch); + PartitionStatisticsFile statisticsFile; + try { + statisticsFile = PartitionStatsHandler.computeAndWriteStatsFile(table, branch); Review Comment: We did benchmarks and it turns out local algorithm is more performant than distributed way. https://github.com/apache/iceberg/pull/9437#issuecomment-1976956134 So, going with non-distributed way. -- 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. To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For additional commands, e-mail: issues-h...@iceberg.apache.org
