boneanxs commented on code in PR #6141: URL: https://github.com/apache/hudi/pull/6141#discussion_r930923425
########## hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/functional/TestIncrementalReadWithFullTableScan.scala: ########## @@ -0,0 +1,191 @@ +/* + * 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.hudi.functional + +import org.apache.hudi.common.config.HoodieMetadataConfig +import org.apache.hudi.common.model.HoodieTableType +import org.apache.hudi.{DataSourceReadOptions, DataSourceWriteOptions} +import org.apache.hudi.common.table.HoodieTableMetaClient +import org.apache.hudi.common.table.timeline.HoodieInstant +import org.apache.hudi.common.testutils.RawTripTestPayload.recordsToStrings +import org.apache.hudi.config.HoodieWriteConfig +import org.apache.hudi.testutils.HoodieClientTestBase +import org.apache.log4j.LogManager +import org.apache.spark.SparkException +import org.apache.spark.sql.{AnalysisException, SaveMode, SparkSession} +import org.junit.jupiter.api.Assertions.{assertEquals, assertThrows, assertTrue} +import org.junit.jupiter.api.{AfterEach, BeforeEach} +import org.junit.jupiter.api.function.Executable +import org.junit.jupiter.params.ParameterizedTest +import org.junit.jupiter.params.provider.EnumSource + +import scala.collection.JavaConversions.asScalaBuffer + +class TestIncrementalReadWithFullTableScan extends HoodieClientTestBase { + + var spark: SparkSession = null + private val log = LogManager.getLogger(classOf[TestIncrementalReadWithFullTableScan]) + val commonOpts = Map( + "hoodie.insert.shuffle.parallelism" -> "4", + "hoodie.upsert.shuffle.parallelism" -> "4", + DataSourceWriteOptions.RECORDKEY_FIELD.key -> "_row_key", + DataSourceWriteOptions.PARTITIONPATH_FIELD.key -> "partition", + DataSourceWriteOptions.PRECOMBINE_FIELD.key -> "timestamp", + HoodieWriteConfig.TBL_NAME.key -> "hoodie_test", + HoodieMetadataConfig.COMPACT_NUM_DELTA_COMMITS.key -> "1" + ) + + + val verificationCol: String = "driver" + val updatedVerificationVal: String = "driver_update" + + @BeforeEach override def setUp() { + setTableName("hoodie_test") + initPath() + initSparkContexts() + spark = sqlContext.sparkSession + initTestDataGenerator() + initFileSystem() + } + + @AfterEach override def tearDown() = { + cleanupSparkContexts() + cleanupTestDataGenerator() + cleanupFileSystem() + } + + @ParameterizedTest + @EnumSource(value = classOf[HoodieTableType]) + def testFailEarlyForIncrViewQueryForNonExistingFiles(tableType: HoodieTableType): Unit = { + // Create 10 commits + for (i <- 1 to 10) { + val records = recordsToStrings(dataGen.generateInserts("%05d".format(i), 100)).toList + val inputDF = spark.read.json(spark.sparkContext.parallelize(records, 2)) + inputDF.write.format("org.apache.hudi") + .options(commonOpts) + .option(DataSourceWriteOptions.TABLE_TYPE.key, tableType.name()) + .option("hoodie.cleaner.commits.retained", "3") + .option("hoodie.keep.min.commits", "4") + .option("hoodie.keep.max.commits", "5") + .option(DataSourceWriteOptions.OPERATION.key(), DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL) + .mode(SaveMode.Append) + .save(basePath) + } + + val hoodieMetaClient = HoodieTableMetaClient.builder().setConf(spark.sparkContext.hadoopConfiguration).setBasePath(basePath).setLoadActiveTimelineOnLoad(true).build() + /** + * State of timeline after 10 commits + * +------------------+--------------------------------------+ + * | Archived | Active Timeline | + * +------------------+--------------+-----------------------+ + * | C0 C1 C2 C3 | C4 C5 | C6 C7 C8 C9 | + * +------------------+--------------+-----------------------+ + * | Data cleaned | Data exists in table | + * +---------------------------------+-----------------------+ + */ + + val completedCommits = hoodieMetaClient.getCommitsTimeline.filterCompletedInstants() // C4 to C9 + //Anything less than 2 is a valid commit in the sense no cleanup has been done for those commit files + var startTs = completedCommits.nthInstant(0).get().getTimestamp //C4 + var endTs = completedCommits.nthInstant(1).get().getTimestamp //C5 + + //Calling without the fallback should result in Path does not exist + var hoodieIncViewDF = spark.read.format("org.apache.hudi") + .option(DataSourceReadOptions.QUERY_TYPE.key(), DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL) + .option(DataSourceReadOptions.BEGIN_INSTANTTIME.key(), startTs) + .option(DataSourceReadOptions.END_INSTANTTIME.key(), endTs) + .load(basePath) + + val msg = "Should fail with Path does not exist" + tableType match { + case HoodieTableType.COPY_ON_WRITE => + assertThrows(classOf[AnalysisException], new Executable { + override def execute(): Unit = { + hoodieIncViewDF.count() + } + }, msg) + case HoodieTableType.MERGE_ON_READ => + val exp = assertThrows(classOf[SparkException], new Executable { + override def execute(): Unit = { + hoodieIncViewDF.count() + } + }, msg) + assertTrue(exp.getMessage.contains("FileNotFoundException")) + } + + + //Should work with fallback enabled + hoodieIncViewDF = spark.read.format("org.apache.hudi") + .option(DataSourceReadOptions.QUERY_TYPE.key(), DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL) + .option(DataSourceReadOptions.BEGIN_INSTANTTIME.key(), startTs) + .option(DataSourceReadOptions.END_INSTANTTIME.key(), endTs) + .option(DataSourceReadOptions.INCREMENTAL_FALLBACK_TO_FULL_TABLE_SCAN_FOR_NON_EXISTING_FILES.key(), "true") + .load(basePath) + assertEquals(100, hoodieIncViewDF.count()) + + //Test out for archived commits + val archivedInstants = hoodieMetaClient.getArchivedTimeline.filterCompletedInstants().getInstants.distinct().toArray + startTs = archivedInstants(0).asInstanceOf[HoodieInstant].getTimestamp //C0 + endTs = completedCommits.nthInstant(1).get().getTimestamp //C5 + + //Calling without the fallback should result in Path does not exist + hoodieIncViewDF = spark.read.format("org.apache.hudi") + .option(DataSourceReadOptions.QUERY_TYPE.key(), DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL) + .option(DataSourceReadOptions.BEGIN_INSTANTTIME.key(), startTs) + .option(DataSourceReadOptions.END_INSTANTTIME.key(), endTs) + .load(basePath) + + tableType match { + case HoodieTableType.COPY_ON_WRITE => + assertThrows(classOf[AnalysisException], new Executable { + override def execute(): Unit = { + hoodieIncViewDF.count() + } + }, msg) + case HoodieTableType.MERGE_ON_READ => + val exp = assertThrows(classOf[SparkException], new Executable { + override def execute(): Unit = { + hoodieIncViewDF.count() + } + }, msg) + assertTrue(exp.getMessage.contains("FileNotFoundException")) + } + + //Should work with fallback enabled + hoodieIncViewDF = spark.read.format("org.apache.hudi") + .option(DataSourceReadOptions.QUERY_TYPE.key(), DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL) + .option(DataSourceReadOptions.BEGIN_INSTANTTIME.key(), startTs) + .option(DataSourceReadOptions.END_INSTANTTIME.key(), endTs) + .option(DataSourceReadOptions.INCREMENTAL_FALLBACK_TO_FULL_TABLE_SCAN_FOR_NON_EXISTING_FILES.key(), "true") + .load(basePath) + assertEquals(500, hoodieIncViewDF.count()) Review Comment: Sure, will cover these scenarios these days. -- This is an automated message from the Apache Git Service. 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