karuppayya commented on code in PR #10288: URL: https://github.com/apache/iceberg/pull/10288#discussion_r1722548584
########## spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/actions/TestComputeTableStatsAction.java: ########## @@ -0,0 +1,300 @@ +/* + * 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 static org.apache.iceberg.spark.actions.NDVSketchGenerator.APACHE_DATASKETCHES_THETA_V1_NDV_PROPERTY; +import static org.apache.iceberg.types.Types.NestedField.optional; +import static org.apache.iceberg.types.Types.NestedField.required; +import static org.junit.jupiter.api.Assertions.assertDoesNotThrow; +import static org.junit.jupiter.api.Assertions.assertNotEquals; +import static org.junit.jupiter.api.Assertions.assertNotNull; +import static org.junit.jupiter.api.Assertions.assertThrows; +import static org.junit.jupiter.api.Assertions.assertTrue; +import static org.junit.jupiter.api.Assumptions.assumeTrue; + +import java.io.IOException; +import java.util.List; +import org.apache.iceberg.BlobMetadata; +import org.apache.iceberg.DataFile; +import org.apache.iceberg.Files; +import org.apache.iceberg.PartitionSpec; +import org.apache.iceberg.Schema; +import org.apache.iceberg.StatisticsFile; +import org.apache.iceberg.Table; +import org.apache.iceberg.actions.ComputeTableStats; +import org.apache.iceberg.data.FileHelpers; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.spark.CatalogTestBase; +import org.apache.iceberg.spark.Spark3Util; +import org.apache.iceberg.spark.source.SimpleRecord; +import org.apache.iceberg.types.Types; +import org.apache.spark.sql.Encoders; +import org.apache.spark.sql.catalyst.analysis.NoSuchTableException; +import org.apache.spark.sql.catalyst.parser.ParseException; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.TestTemplate; + +public class TestComputeTableStatsAction extends CatalogTestBase { Review Comment: > Successful computation of stats on a table with referencing nested columns explicitly. Shouldn't this be a failure since the user is explicitly asking to compute stats on column with non-primitive type? ########## spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/actions/TestComputeTableStatsAction.java: ########## @@ -0,0 +1,300 @@ +/* + * 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 static org.apache.iceberg.spark.actions.NDVSketchGenerator.APACHE_DATASKETCHES_THETA_V1_NDV_PROPERTY; +import static org.apache.iceberg.types.Types.NestedField.optional; +import static org.apache.iceberg.types.Types.NestedField.required; +import static org.junit.jupiter.api.Assertions.assertDoesNotThrow; +import static org.junit.jupiter.api.Assertions.assertNotEquals; +import static org.junit.jupiter.api.Assertions.assertNotNull; +import static org.junit.jupiter.api.Assertions.assertThrows; +import static org.junit.jupiter.api.Assertions.assertTrue; +import static org.junit.jupiter.api.Assumptions.assumeTrue; + +import java.io.IOException; +import java.util.List; +import org.apache.iceberg.BlobMetadata; +import org.apache.iceberg.DataFile; +import org.apache.iceberg.Files; +import org.apache.iceberg.PartitionSpec; +import org.apache.iceberg.Schema; +import org.apache.iceberg.StatisticsFile; +import org.apache.iceberg.Table; +import org.apache.iceberg.actions.ComputeTableStats; +import org.apache.iceberg.data.FileHelpers; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.spark.CatalogTestBase; +import org.apache.iceberg.spark.Spark3Util; +import org.apache.iceberg.spark.source.SimpleRecord; +import org.apache.iceberg.types.Types; +import org.apache.spark.sql.Encoders; +import org.apache.spark.sql.catalyst.analysis.NoSuchTableException; +import org.apache.spark.sql.catalyst.parser.ParseException; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.TestTemplate; + +public class TestComputeTableStatsAction extends CatalogTestBase { + + private static final Types.StructType LEAF_STRUCT_TYPE = + Types.StructType.of( + optional(1, "leafLongCol", Types.LongType.get()), + optional(2, "leafDoubleCol", Types.DoubleType.get())); + + private static final Types.StructType NESTED_STRUCT_TYPE = + Types.StructType.of(required(3, "leafStructCol", LEAF_STRUCT_TYPE)); + + private static final Schema NESTED_SCHEMA = + new Schema(required(4, "nestedStructCol", NESTED_STRUCT_TYPE)); + + @TestTemplate + public void testComputeTableStatsAction() throws NoSuchTableException, ParseException { + assumeTrue(catalogName.equals("spark_catalog")); + sql("CREATE TABLE %s (id int, data string) USING iceberg", tableName); + + List<SimpleRecord> records = + Lists.newArrayList( + new SimpleRecord(1, "a"), + new SimpleRecord(1, "a"), + new SimpleRecord(2, "b"), + new SimpleRecord(3, "c"), + new SimpleRecord(4, "d")); + spark + .createDataset(records, Encoders.bean(SimpleRecord.class)) + .coalesce(1) + .writeTo(tableName) + .append(); + Table table = Spark3Util.loadIcebergTable(spark, tableName); + SparkActions actions = SparkActions.get(); + ComputeTableStats.Result results = + actions.computeTableStats(table).columns("id", "data").execute(); + assertNotNull(results); + + List<StatisticsFile> statisticsFiles = table.statisticsFiles(); + Assertions.assertEquals(statisticsFiles.size(), 1); + + StatisticsFile statisticsFile = statisticsFiles.get(0); + assertNotEquals(statisticsFile.fileSizeInBytes(), 0); + Assertions.assertEquals(statisticsFile.blobMetadata().size(), 2); + + BlobMetadata blobMetadata = statisticsFile.blobMetadata().get(0); + Assertions.assertEquals( Review Comment: I didnt find any in `Assertions` ########## spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/actions/ComputeTableStatsSparkAction.java: ########## @@ -0,0 +1,176 @@ +/* + * 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.Set; +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.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 Set<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 = 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() { + JobGroupInfo info = newJobGroupInfo("COMPUTE-TABLE-STATS", jobDesc()); + return withJobGroupInfo(info, this::doExecute); + } + + private Result doExecute() { + if (snapshot == null) { + return EMPTY_RESULT; + } + validateColumns(); + LOG.info( + "Computing stats for columns {} in {} (snapshot {})", + columns(), + table.name(), + snapshotId()); + List<Blob> blobs = generateNDVBlobs(); + StatisticsFile statisticsFile; + statisticsFile = writeStatsFile(blobs); + + table.updateStatistics().setStatistics(snapshot.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(), snapshot.snapshotId()); + TableOperations operations = ((HasTableOperations) table).operations(); + OutputFile outputFile = operations.io().newOutputFile(outputPath()); + try (PuffinWriter writer = Puffin.write(outputFile).createdBy(appIdentifier()).build()) { + blobs.forEach(writer::add); + writer.finish(); + return new GenericStatisticsFile( + snapshot.snapshotId(), + outputFile.location(), + writer.fileSize(), + writer.footerSize(), + GenericBlobMetadata.from(writer.writtenBlobsMetadata())); + } catch (IOException e) { + throw new RuntimeIOException(e); + } + } + + private List<Blob> generateNDVBlobs() { + return NDVSketchGenerator.generateNDVSketchesAndBlobs(spark(), table, snapshot, columns()); + } + + private Set<String> columns() { Review Comment: I think we don't need an `SchemaVisitor` implementation, since we dont need to traverse only the top level element and not the schema tree? -- This is an automated message from the Apache Git Service. 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