suryaprasanna commented on code in PR #17787: URL: https://github.com/apache/hudi/pull/17787#discussion_r2743797954
########## hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/common/TestSlashSeparatedPartitionValue.scala: ########## @@ -0,0 +1,91 @@ +/* + * 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.spark.sql.hudi.common + +import org.apache.hudi.client.common.HoodieSparkEngineContext +import org.apache.hudi.common.config.HoodieMetadataConfig +import org.apache.hudi.common.table.HoodieTableMetaClient +import org.apache.hudi.hadoop.fs.HadoopFSUtils +import org.apache.hudi.metadata.HoodieBackedTableMetadata +import org.apache.hudi.storage.{HoodieStorage, StoragePath} + +import org.junit.jupiter.api.Assertions.assertTrue + +class TestSlashSeparatedPartitionValue extends HoodieSparkSqlTestBase { + + test("Test slash separated date partitions") { + withTempDir { tmp => + val targetTable = generateTableName + val tablePath = s"${tmp.getCanonicalPath}/$targetTable" + + spark.sql( + s""" + |create table $targetTable ( + | `id` string, + | `name` string, + | `ts` bigint, + | `datestr` STRING + |) using hudi + | tblproperties ( + | 'primaryKey' = 'id', + | 'type' = 'COW', + | 'preCombineField'='ts', + | 'hoodie.datasource.write.slash.separated.date.partitioning'='true' + | ) + | partitioned by (`datestr`) + | location '$tablePath' + """.stripMargin) + + spark.sql( + s""" + | insert into $targetTable values + | (1, 'a1', 1000, "2026-01-05"), + | (2, 'a2', 2000, "2026-01-06") + """.stripMargin) + + // check result after insert and merge data into target table + checkAnswer(s"select id, name, ts, datestr from $targetTable limit 10")( Review Comment: Sure, adding it. ########## hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/common/TestSlashSeparatedPartitionValue.scala: ########## @@ -0,0 +1,91 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql.hudi.common + +import org.apache.hudi.client.common.HoodieSparkEngineContext +import org.apache.hudi.common.config.HoodieMetadataConfig +import org.apache.hudi.common.table.HoodieTableMetaClient +import org.apache.hudi.hadoop.fs.HadoopFSUtils +import org.apache.hudi.metadata.HoodieBackedTableMetadata +import org.apache.hudi.storage.{HoodieStorage, StoragePath} + +import org.junit.jupiter.api.Assertions.assertTrue + +class TestSlashSeparatedPartitionValue extends HoodieSparkSqlTestBase { + + test("Test slash separated date partitions") { + withTempDir { tmp => + val targetTable = generateTableName + val tablePath = s"${tmp.getCanonicalPath}/$targetTable" + + spark.sql( + s""" + |create table $targetTable ( + | `id` string, + | `name` string, + | `ts` bigint, + | `datestr` STRING + |) using hudi + | tblproperties ( + | 'primaryKey' = 'id', + | 'type' = 'COW', + | 'preCombineField'='ts', + | 'hoodie.datasource.write.slash.separated.date.partitioning'='true' + | ) + | partitioned by (`datestr`) + | location '$tablePath' + """.stripMargin) + + spark.sql( + s""" + | insert into $targetTable values + | (1, 'a1', 1000, "2026-01-05"), + | (2, 'a2', 2000, "2026-01-06") + """.stripMargin) + + // check result after insert and merge data into target table + checkAnswer(s"select id, name, ts, datestr from $targetTable limit 10")( + Seq("1", "a1", 1000, "2026-01-05"), + Seq("2", "a2", 2000, "2026-01-06") + ) + + // Verify table config has slash separated date partitioning enabled + val metaClient = HoodieTableMetaClient.builder() + .setConf(HadoopFSUtils.getStorageConfWithCopy(spark.sparkContext.hadoopConfiguration)) + .setBasePath(tablePath) + .build() + val tableConfig = metaClient.getTableConfig + assertTrue(tableConfig.getSlashSeparatedDatePartitioning, + "Table config should have slash separated date partitioning enabled") + + // Verify that partition paths are created with slash separated date format (yyyy/MM/dd) + assertTrue(metaClient.getStorage.exists(new StoragePath(tablePath, "2026/01/05")), + s"Partition path 2026/01/05 should exist") + assertTrue(metaClient.getStorage.exists(new StoragePath(tablePath, "2026/01/06")), + s"Partition path 2026/01/06 should exist") + + val engine = new HoodieSparkEngineContext(spark.sparkContext) + val storage = metaClient.getStorage() + val metadataConfig = HoodieMetadataConfig.newBuilder().build() + val metadataTable = new HoodieBackedTableMetadata(engine, storage, metadataConfig, tablePath) + val partitionPaths = metadataTable.getAllPartitionPaths + assertTrue(partitionPaths.contains("2026/01/05")) + assertTrue(partitionPaths.contains("2026/01/06")) Review Comment: Done. -- This is an automated message from the Apache Git Service. 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