amogh-jahagirdar commented on code in PR #12736: URL: https://github.com/apache/iceberg/pull/12736#discussion_r2050020503
########## spark/v3.5/spark-extensions/src/test/java/org/apache/iceberg/spark/extensions/TestRowLineagePropagation.java: ########## @@ -0,0 +1,489 @@ +/* + * 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.extensions; + +import static org.apache.iceberg.spark.Spark3Util.loadIcebergTable; +import static org.assertj.core.api.Assertions.assertThat; +import static org.assertj.core.api.Assumptions.assumeThat; + +import java.io.IOException; +import java.util.Comparator; +import java.util.List; +import java.util.Map; +import java.util.UUID; +import java.util.stream.Collectors; +import java.util.stream.IntStream; +import org.apache.iceberg.AppendFiles; +import org.apache.iceberg.Files; +import org.apache.iceberg.MetadataColumns; +import org.apache.iceberg.Schema; +import org.apache.iceberg.Snapshot; +import org.apache.iceberg.SnapshotRef; +import org.apache.iceberg.StructLike; +import org.apache.iceberg.Table; +import org.apache.iceberg.data.GenericAppenderFactory; +import org.apache.iceberg.data.GenericRecord; +import org.apache.iceberg.data.IcebergGenerics; +import org.apache.iceberg.data.Record; +import org.apache.iceberg.encryption.EncryptionUtil; +import org.apache.iceberg.io.CloseableIterable; +import org.apache.iceberg.io.DataWriter; +import org.apache.iceberg.io.OutputFile; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableList; +import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.relocated.com.google.common.collect.Maps; +import org.apache.iceberg.types.TypeUtil; +import org.apache.iceberg.types.Types; +import org.apache.spark.sql.catalyst.analysis.NoSuchTableException; +import org.apache.spark.sql.catalyst.parser.ParseException; +import org.apache.spark.sql.execution.SparkPlan; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.BeforeAll; +import org.junit.jupiter.api.TestTemplate; + +public abstract class TestRowLineagePropagation extends SparkRowLevelOperationsTestBase { + + static Schema rowLineageSchema = + new Schema(MetadataColumns.ROW_ID, MetadataColumns.LAST_UPDATED_SEQUENCE_NUMBER); + + @BeforeAll + public static void setupSparkConf() { + spark.conf().set("spark.sql.shuffle.partitions", "4"); + } + + @AfterEach + public void removeTables() { + sql("DROP TABLE IF EXISTS %s", tableName); + sql("DROP TABLE IF EXISTS source"); + } + + @TestTemplate + public void testMergeIntoWithBothMatchedAndNonMatched() + throws NoSuchTableException, ParseException, IOException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + // write the data file with <data, _row_id, _last_updated_sequence_number> + // merge, update data to data + 1 on odd values of data. _row_id should be preserved for those + // cases, _last_updated_sequence_number should be null + // even values of data should be preserved as is + createAndInitTable("data INT", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + Schema schema = TypeUtil.join(table.schema(), rowLineageSchema); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5); + createOrReplaceView("source", "data INT", "{ \"data\": 1}\n" + "{ \"data\": 2}\n"); + sql( + "MERGE INTO %s AS t USING source AS s " + + "ON t.data == s.data AND t.data = 1 " + + "WHEN MATCHED THEN " + + " UPDATE SET t.data = 1234 " + + "WHEN NOT MATCHED THEN " + + " INSERT (data) VALUES (5678)", + commitTarget()); + + ImmutableList<Object[]> expectedRows = + ImmutableList.of( + row(0), + row(2), + row(3), + row(4), + row(1234), // updated + row(5678) // inserted + ); + + assertEquals( + "Output should match", expectedRows, sql("SELECT * FROM %s ORDER BY data", selectTarget())); + + List<Record> expectedRecords = Lists.newArrayList(); + expectedRecords.addAll( + generatedRecords.stream() + .filter(record -> record.get(0, Integer.class) != 1) + .collect(Collectors.toList())); + Record updatedRecord = createRecord(schema, 1234, 1L, null); + Record insertedRecord = createRecord(schema, 5678, null, null); + expectedRecords.addAll(ImmutableList.of(insertedRecord, updatedRecord)); + + table.refresh(); + + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + @TestTemplate + public void testMergeIntoWithBothMatchedAndNonMatchedPartitioned() + throws NoSuchTableException, ParseException, IOException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + // write the data file with <data, _row_id, _last_updated_sequence_number> + // merge, update data to data + 1 on odd values of data. _row_id should be preserved for those + // cases, _last_updated_sequence_number should be null + // even values of data should be preserved as is + createAndInitTable("data INT", "PARTITIONED BY (data)", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + Schema schema = TypeUtil.join(table.schema(), rowLineageSchema); + List<StructLike> partitions = + IntStream.range(0, 5) + .mapToObj( + partitionValue -> + createPartitionStructure( + table.spec().partitionType(), ImmutableMap.of("data", partitionValue))) + .collect(Collectors.toList()); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5, partitions); + + createOrReplaceView("source", "data INT", "{ \"data\": 1}\n" + "{ \"data\": 2}\n"); + sql( + "MERGE INTO %s AS t USING source AS s " + + "ON t.data == s.data AND t.data = 1 " + + "WHEN MATCHED THEN " + + " UPDATE SET t.data = 1234 " + + "WHEN NOT MATCHED THEN " + + " INSERT (data) VALUES (5678)", + commitTarget()); + + ImmutableList<Object[]> expectedRows = + ImmutableList.of( + row(0), + row(2), + row(3), + row(4), + row(1234), // updated + row(5678) // inserted + ); + + assertEquals( + "Output should match", expectedRows, sql("SELECT * FROM %s ORDER BY data", selectTarget())); + + List<Record> expectedRecords = Lists.newArrayList(); + expectedRecords.addAll( + generatedRecords.stream() + .filter(record -> record.get(0, Integer.class) != 1) + .collect(Collectors.toList())); + Record updatedRecord = createRecord(schema, 1234, 1L, null); + Record insertedRecord = createRecord(schema, 5678, null, null); + expectedRecords.addAll(ImmutableList.of(insertedRecord, updatedRecord)); + + table.refresh(); + + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + private StructLike createPartitionStructure( + Types.StructType partitionType, Map<String, Object> partitionValues) { + Record record = GenericRecord.create(partitionType); + return record.copy(partitionValues); + } + + @TestTemplate + public void testMergeIntoWithOnlyNonMatched() + throws NoSuchTableException, ParseException, IOException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + // write the data file with <data, _row_id, _last_updated_sequence_number> + // merge, update data to data + 1 on odd values of data. _row_id should be preserved for those + // cases, _last_updated_sequence_number should be null + // even values of data should be preserved as is + createAndInitTable("data INT", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + Schema schema = TypeUtil.join(table.schema(), rowLineageSchema); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5); + createOrReplaceView("source", "data INT", "{ \"data\": 1}\n" + "{ \"data\": 2}\n"); + sql( + "MERGE INTO %s AS t USING source AS s " + + "ON t.data == s.data AND t.data = 1 " + + "WHEN NOT MATCHED THEN " + + " INSERT (data) VALUES (5678)", + commitTarget()); + + ImmutableList<Object[]> expectedRows = + ImmutableList.of( + row(0), row(1), row(2), row(3), row(4), row(5678) // inserted + ); + + assertEquals( + "Output should match", expectedRows, sql("SELECT * FROM %s ORDER BY data", selectTarget())); + + List<Record> expectedRecords = Lists.newArrayList(); + expectedRecords.addAll(generatedRecords); + Record insertedRecord = createRecord(schema, 5678, null, null); + expectedRecords.add(insertedRecord); + table.refresh(); + + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + @TestTemplate + public void testMergeIntoWithOnlyMatched() + throws IOException, NoSuchTableException, ParseException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + // write the data file with <data, _row_id, _last_updated_sequence_number> + // merge, update data to data + 1 on odd values of data. _row_id should be preserved for those + // cases, _last_updated_sequence_number should be null + // even values of data should be preserved as is + createAndInitTable("data INT", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + Schema schema = TypeUtil.join(table.schema(), rowLineageSchema); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5); + createOrReplaceView("source", "data INT", "{ \"data\": 1}\n" + "{ \"data\": 2}\n"); + sql( + "MERGE INTO %s AS t USING source AS s " + + "ON t.data == s.data AND t.data = 1 " + + "WHEN MATCHED THEN " + + " UPDATE SET t.data = 1234 ", + commitTarget()); + + ImmutableList<Object[]> expectedRows = + ImmutableList.of( + row(0), row(2), row(3), row(4), row(1234) // updated + ); + + assertEquals( + "Output should match", expectedRows, sql("SELECT * FROM %s ORDER BY data", selectTarget())); + + List<Record> expectedRecords = Lists.newArrayList(); + expectedRecords.addAll( + generatedRecords.stream() + .filter(record -> record.get(0, Integer.class) != 1) + .collect(Collectors.toList())); + Record updatedRecord = createRecord(schema, 1234, 1L, null); + expectedRecords.add(updatedRecord); + table.refresh(); + + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + @TestTemplate + public void testMergeMatchedDelete() throws NoSuchTableException, ParseException, IOException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + // write the data file with <data, _row_id, _last_updated_sequence_number> + // merge, update data to data + 1 on odd values of data. _row_id should be preserved for those + // cases, _last_updated_sequence_number should be null + // even values of data should be preserved as is + createAndInitTable("data INT", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5); + createOrReplaceView("source", "data INT", "{ \"data\": 1}\n" + "{ \"data\": 2}\n"); + SparkPlan plan = + executeAndKeepPlan( + "MERGE INTO %s AS t USING source AS s " + + "ON t.data == s.data AND t.data = 1 " + + "WHEN MATCHED THEN DELETE", + commitTarget()); + + List<Record> expectedRecords = Lists.newArrayList(); + expectedRecords.addAll( + generatedRecords.stream() + .filter(record -> record.get(0, Integer.class) != 1) + .collect(Collectors.toList())); + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + @TestTemplate + public void testMergeWhenNotMatchedBySource() + throws NoSuchTableException, ParseException, IOException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + createAndInitTable("data INT", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5); + createOrReplaceView("source", "data INT", "{ \"data\": 1}\n" + "{ \"data\": 42}\n"); + + sql( + "MERGE INTO %s AS t USING source AS s ON t.data == s.data AND t.data = 1" + + " WHEN MATCHED THEN UPDATE set data = 1234 " + + "WHEN NOT MATCHED BY SOURCE THEN UPDATE set data = 5678", + commitTarget()); + + List<Record> expectedRecords = Lists.newArrayList(); + // Every record should preserve its row ID and null out its sequence number. + // Every record other than id 1 should be 5678 and + for (Record record : generatedRecords) { + Record newRecord = record.copy(); + if (record.get(0, Integer.class) == 1) { + newRecord.set(0, 1234); + newRecord.set(2, null); + } else { + newRecord.set(0, 5678); + newRecord.set(2, null); + } + + expectedRecords.add(newRecord); + } + + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + @TestTemplate + public void testMergeWhenNotMatchedBySourceDelete() + throws NoSuchTableException, ParseException, IOException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + createAndInitTable("data INT", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5); + createOrReplaceView("source", "data INT", "{ \"data\": 1}\n" + "{ \"data\": 42}\n"); + + sql( + "MERGE INTO %s AS t USING source AS s ON t.data == s.data AND t.data = 1" + + " WHEN MATCHED THEN UPDATE set data = 1234 " + + "WHEN NOT MATCHED BY SOURCE THEN DELETE", + commitTarget()); + + Record recordWithData1 = + generatedRecords.stream() + .filter(record -> record.get(0, Integer.class).equals(1)) + .findFirst() + .get(); + List<Record> expectedRecords = Lists.newArrayList(); + Record record = recordWithData1.copy(); + record.set(0, 1234); + record.set(2, null); + expectedRecords.add(record); + + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + @TestTemplate + public void testUpdate() throws NoSuchTableException, ParseException, IOException { + assumeThat(formatVersion).isGreaterThanOrEqualTo(3); + // write the data file with <data, _row_id, _last_updated_sequence_number> + // merge, update data to data + 1 on odd values of data. _row_id should be preserved for those + // cases, _last_updated_sequence_number should be null + // even values of data should be preserved as is + createAndInitTable("data INT", null); + createBranchIfNeeded(); + Table table = loadIcebergTable(spark, tableName); + Schema schema = TypeUtil.join(table.schema(), rowLineageSchema); + List<Record> generatedRecords = generateRecordsAndAppendToTable(table, 5); + + sql("UPDATE %s AS t set data = 5678 WHERE data = 1", commitTarget()); + + List<Record> expectedRecords = Lists.newArrayList(); + expectedRecords.addAll( + generatedRecords.stream() + .filter(record -> record.get(0, Integer.class) != 1) + .collect(Collectors.toList())); + Record updatedRecord = createRecord(schema, 5678, 1L, null); + expectedRecords.add(updatedRecord); + table.refresh(); + + assertRecordsAreEqual(sortedRecordsByRowId(expectedRecords), recordsSortedByRowId(table)); + } + + protected Record createRecord(Schema schema, int id, Long rowId, Long lastUpdatedSequenceNumber) { + Record record = GenericRecord.create(schema); + record.set(0, id); + record.set(1, rowId); + record.set(2, lastUpdatedSequenceNumber); + return record; + } + + protected List<Record> recordsSortedByRowId(Table table) throws IOException { + Schema schema = TypeUtil.join(table.schema(), rowLineageSchema); + List<Record> records = Lists.newArrayList(); + table.refresh(); + Snapshot snapshot = table.currentSnapshot(); + if (branch != null) { + snapshot = table.snapshot(branch); + } + + try (CloseableIterable<Record> writtenRecords = + IcebergGenerics.read(table).project(schema).useSnapshot(snapshot.snapshotId()).build()) { + for (Record record : writtenRecords) { + records.add(record); + } + } + + records.sort( + Comparator.comparing( + record -> record.get(1, Long.class), Comparator.nullsFirst(Comparator.naturalOrder()))); + return records; + } + + protected List<Record> sortedRecordsByRowId(List<Record> records) { + records.sort( + Comparator.comparing( + record -> record.get(1, Long.class), Comparator.nullsFirst(Comparator.naturalOrder()))); + return records; + } + + protected List<Record> generateRecordsAndAppendToTable( + Table table, int numRecords, List<StructLike> partitions) throws IOException { + Schema schema = TypeUtil.join(table.schema(), rowLineageSchema); + List<Record> records = Lists.newArrayList(); + Map<Integer, List<Record>> partitionToRecords = Maps.newHashMap(); + Map<Integer, StructLike> partitionToPartitions = Maps.newHashMap(); + for (int i = 0; i < numRecords; i++) { + records.add(createRecord(schema, i, (long) i, (long) i * 2)); + int partitionKey = partitions.get(i) != null ? i : -1; + List<Record> existingRecords = + partitionToRecords.getOrDefault(partitionKey, Lists.newArrayList()); + existingRecords.add(records.get(i)); + partitionToRecords.put(partitionKey, existingRecords); + } + + for (StructLike partition : partitions) { + if (partition != null) { + partitionToPartitions.put(partition.get(0, Integer.class), partition); + } + } + + AppendFiles append = table.newAppend(); + for (Map.Entry<Integer, List<Record>> entry : partitionToRecords.entrySet()) { + OutputFile file = Files.localOutput(temp.resolve(UUID.randomUUID().toString()).toFile()); Review Comment: Can't build a FanoutWriter without providing a FileWriterFactory implementation which the spark one isn't exposed here, but we can use PartitionMap to simplify a few things here -- This is an automated message from the Apache Git Service. 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