ashvina commented on code in PR #589: URL: https://github.com/apache/incubator-xtable/pull/589#discussion_r1875035922
########## xtable-core/src/test/java/org/apache/xtable/delta/ITDeltaDeleteVectorConvert.java: ########## @@ -0,0 +1,155 @@ +/* + * 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.xtable.delta; + +import static org.junit.jupiter.api.Assertions.assertEquals; + +import java.nio.file.Path; +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +import org.apache.hadoop.conf.Configuration; +import org.apache.spark.serializer.KryoSerializer; +import org.apache.spark.sql.Row; +import org.apache.spark.sql.SparkSession; +import org.junit.jupiter.api.AfterAll; +import org.junit.jupiter.api.BeforeAll; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.io.TempDir; + +import org.apache.xtable.GenericTable; +import org.apache.xtable.TestSparkDeltaTable; +import org.apache.xtable.model.TableChange; + +public class ITDeltaDeleteVectorConvert { + @TempDir private static Path tempDir; + private static SparkSession sparkSession; + + private DeltaConversionSourceProvider conversionSourceProvider; + + @BeforeAll + public static void setupOnce() { + sparkSession = + SparkSession.builder() + .appName("TestDeltaTable") + .master("local[4]") + .config("spark.sql.extensions", "io.delta.sql.DeltaSparkSessionExtension") + .config( + "spark.sql.catalog.spark_catalog", + "org.apache.spark.sql.delta.catalog.DeltaCatalog") + .config("spark.databricks.delta.retentionDurationCheck.enabled", "false") + .config("spark.databricks.delta.schema.autoMerge.enabled", "true") + .config("spark.sql.shuffle.partitions", "1") + .config("spark.default.parallelism", "1") + .config("spark.serializer", KryoSerializer.class.getName()) + .getOrCreate(); + } + + @AfterAll + public static void teardown() { + if (sparkSession != null) { + sparkSession.close(); + } + } + + @BeforeEach + void setUp() { + Configuration hadoopConf = new Configuration(); + hadoopConf.set("fs.defaultFS", "file:///"); + + conversionSourceProvider = new DeltaConversionSourceProvider(); + conversionSourceProvider.init(hadoopConf); + } + + @Test + public void testInsertsUpsertsAndDeletes() { + String tableName = GenericTable.getTableName(); + TestSparkDeltaTable testSparkDeltaTable = + new TestSparkDeltaTable(tableName, tempDir, sparkSession, null, false); + + List<List<String>> allActiveFiles = new ArrayList<>(); + List<TableChange> allTableChanges = new ArrayList<>(); + List<Row> rows = testSparkDeltaTable.insertRows(50); + Long timestamp1 = testSparkDeltaTable.getLastCommitTimestamp(); + allActiveFiles.add(testSparkDeltaTable.getAllActiveFiles()); + + // enable deletion vectors for the test table + testSparkDeltaTable + .getSparkSession() + .sql( + "ALTER TABLE " + + tableName + + " SET TBLPROPERTIES ('delta.enableDeletionVectors' = true)"); + + List<Row> rows1 = testSparkDeltaTable.insertRows(50); + allActiveFiles.add(testSparkDeltaTable.getAllActiveFiles()); + assertEquals(100L, testSparkDeltaTable.getNumRows()); + + // upsert does not create delete vectors + testSparkDeltaTable.upsertRows(rows.subList(0, 20)); + allActiveFiles.add(testSparkDeltaTable.getAllActiveFiles()); + assertEquals(100L, testSparkDeltaTable.getNumRows()); + + testSparkDeltaTable.insertRows(50); + allActiveFiles.add(testSparkDeltaTable.getAllActiveFiles()); + assertEquals(150L, testSparkDeltaTable.getNumRows()); + + // delete a few rows with gaps in ids + List<Row> rowsToDelete = + rows1.subList(0, 10).stream() + .filter(row -> (row.get(0).hashCode() % 2) == 0) + .collect(Collectors.toList()); + rowsToDelete.addAll(rows.subList(35, 45)); + testSparkDeltaTable.deleteRows(rowsToDelete); + allActiveFiles.add(testSparkDeltaTable.getAllActiveFiles()); + assertEquals(135L, testSparkDeltaTable.getNumRows()); + + testSparkDeltaTable.insertRows(50); + allActiveFiles.add(testSparkDeltaTable.getAllActiveFiles()); + assertEquals(185L, testSparkDeltaTable.getNumRows()); + + // delete a few rows from a file which already has a deletion vector, this should generate a + // merged deletion vector file. Some rows were already deleted in the previous delete step. Review Comment: Yes and no :-). I’ve documented the behavior of the current versions of Spark and the Delta library we’re using for testing. We shouldn’t need to change the test if this behavior changes. However, once XTable starts converting delete vectors, it should handle both scenarios, which is why I included this scenario in this test. I’ve also added a validation step for now. Let me know if you have any other suggestions. Thanks! -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
