aokolnychyi commented on code in PR #10288: URL: https://github.com/apache/iceberg/pull/10288#discussion_r1725995212
########## spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/actions/ComputeTableStatsSparkAction.java: ########## @@ -0,0 +1,179 @@ +/* + * 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 java.util.List; +import java.util.UUID; +import java.util.stream.Collectors; +import org.apache.iceberg.GenericBlobMetadata; +import org.apache.iceberg.GenericStatisticsFile; +import org.apache.iceberg.HasTableOperations; +import org.apache.iceberg.IcebergBuild; +import org.apache.iceberg.Schema; +import org.apache.iceberg.Snapshot; +import org.apache.iceberg.StatisticsFile; +import org.apache.iceberg.Table; +import org.apache.iceberg.TableOperations; +import org.apache.iceberg.actions.ComputeTableStats; +import org.apache.iceberg.actions.ImmutableComputeTableStats; +import org.apache.iceberg.exceptions.RuntimeIOException; +import org.apache.iceberg.io.OutputFile; +import org.apache.iceberg.puffin.Blob; +import org.apache.iceberg.puffin.Puffin; +import org.apache.iceberg.puffin.PuffinWriter; +import org.apache.iceberg.relocated.com.google.common.base.Preconditions; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableSet; +import org.apache.iceberg.spark.JobGroupInfo; +import org.apache.iceberg.types.Types; +import org.apache.spark.sql.SparkSession; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +/** Computes the statistics of the given columns and stores it as Puffin files. */ +public class ComputeTableStatsSparkAction extends BaseSparkAction<ComputeTableStatsSparkAction> + implements ComputeTableStats { + + private static final Logger LOG = LoggerFactory.getLogger(ComputeTableStatsSparkAction.class); + private static final Result EMPTY_RESULT = ImmutableComputeTableStats.Result.builder().build(); + + private final Table table; + private List<String> columns; + private Snapshot snapshot; + + ComputeTableStatsSparkAction(SparkSession spark, Table table) { + super(spark); + this.table = table; + this.snapshot = table.currentSnapshot(); + } + + @Override + protected ComputeTableStatsSparkAction self() { + return this; + } + + @Override + public ComputeTableStats columns(String... newColumns) { + Preconditions.checkArgument( + newColumns != null && newColumns.length > 0, "Columns cannot be null/empty"); + this.columns = ImmutableList.copyOf(ImmutableSet.copyOf(newColumns)); + return this; + } + + @Override + public ComputeTableStats snapshot(long newSnapshotId) { + Snapshot newSnapshot = table.snapshot(newSnapshotId); + Preconditions.checkArgument(newSnapshot != null, "Snapshot not found: %s", newSnapshotId); + this.snapshot = newSnapshot; + return this; + } + + @Override + public Result execute() { + if (snapshot == null) { + LOG.info("No snapshot to compute stats for table {}", table.name()); + return EMPTY_RESULT; + } + validateColumns(); + JobGroupInfo info = newJobGroupInfo("COMPUTE-TABLE-STATS", jobDesc()); + return withJobGroupInfo(info, this::doExecute); + } + + private Result doExecute() { + LOG.info( + "Computing stats for columns {} in {} (snapshot {})", + columns(), + table.name(), + snapshotId()); + List<Blob> blobs = generateNDVBlobs(); + StatisticsFile statisticsFile = writeStatsFile(blobs); + table.updateStatistics().setStatistics(snapshotId(), statisticsFile).commit(); + return ImmutableComputeTableStats.Result.builder().statisticsFile(statisticsFile).build(); + } + + private StatisticsFile writeStatsFile(List<Blob> blobs) { + LOG.info("Writing stats for table {} for snapshot {}", table.name(), snapshotId()); + OutputFile outputFile = table.io().newOutputFile(outputPath()); + try (PuffinWriter writer = Puffin.write(outputFile).createdBy(appIdentifier()).build()) { + blobs.forEach(writer::add); + writer.finish(); + return new GenericStatisticsFile( + snapshotId(), + outputFile.location(), + writer.fileSize(), + writer.footerSize(), + GenericBlobMetadata.from(writer.writtenBlobsMetadata())); + } catch (IOException e) { + throw new RuntimeIOException(e); + } + } + + private List<Blob> generateNDVBlobs() { + return NDVSketchUtil.generateBlobs(spark(), table, snapshot, columns()); + } + + private List<String> columns() { + if (columns == null) { + Schema schema = table.schemas().get(snapshot.schemaId()); + this.columns = + schema.columns().stream() + .filter(nestedField -> nestedField.type().isPrimitiveType()) + .map(Types.NestedField::name) + .collect(Collectors.toList()); + } + return columns; + } + + private void validateColumns() { + Schema schema = table.schemas().get(snapshot.schemaId()); + Preconditions.checkArgument(!columns().isEmpty(), "No columns found to compute stats"); + for (String columnName : columns()) { + Types.NestedField field = schema.findField(columnName); + Preconditions.checkArgument(field != null, "Can't find column %s in %s", columnName, schema); + Preconditions.checkArgument( + field.type().isPrimitiveType(), + "Can't compute stats on non-primitive type column: %s (%s)", + columnName, + field.type()); + } + } + + private String appIdentifier() { + String icebergVersion = IcebergBuild.fullVersion(); + String sparkVersion = spark().version(); + return String.format("Iceberg %s Spark %s", icebergVersion, sparkVersion); + } + + private long snapshotId() { + return snapshot != null ? snapshot.snapshotId() : null; Review Comment: This can be simply be `snapshot.snapshotId()` now (we can still keep the method for shorter lines). -- This is an automated message from the Apache Git Service. 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