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[GLUTEN-5484] add missing tests for clickhouse (#5485)
[GLUTEN-5484] add missing tests for clickhouse
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108 changes: 108 additions & 0 deletions
108
...park35/src/test/scala/org/apache/spark/sql/hive/execution/GlutenHiveSQLQueryCHSuite.scala
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| /* | ||
| * 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.hive.execution | ||
|
|
||
| import org.apache.gluten.GlutenConfig | ||
| import org.apache.gluten.utils.SystemParameters | ||
|
|
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| import org.apache.spark.{DebugFilesystem, SparkConf} | ||
| import org.apache.spark.sql.Row | ||
| import org.apache.spark.sql.catalyst.TableIdentifier | ||
|
|
||
| class GlutenHiveSQLQueryCHSuite extends GlutenHiveSQLQuerySuiteBase { | ||
|
|
||
| override def sparkConf: SparkConf = { | ||
| defaultSparkConf | ||
| .set("spark.plugins", "org.apache.gluten.GlutenPlugin") | ||
| .set(GlutenConfig.GLUTEN_LIB_PATH, SystemParameters.getClickHouseLibPath) | ||
| .set("spark.gluten.sql.enable.native.validation", "false") | ||
| .set("spark.gluten.sql.native.writer.enabled", "true") | ||
| .set("spark.sql.storeAssignmentPolicy", "legacy") | ||
| .set("spark.default.parallelism", "1") | ||
| .set("spark.memory.offHeap.enabled", "true") | ||
| .set("spark.memory.offHeap.size", "1024MB") | ||
| .set("spark.hadoop.fs.file.impl", classOf[DebugFilesystem].getName) | ||
| } | ||
|
|
||
| testGluten("5182: Fix failed to parse post join filters") { | ||
| withSQLConf( | ||
| "spark.sql.hive.convertMetastoreParquet" -> "false", | ||
| "spark.gluten.sql.complexType.scan.fallback.enabled" -> "false") { | ||
| sql("DROP TABLE IF EXISTS test_5182_0;") | ||
| sql("DROP TABLE IF EXISTS test_5182_1;") | ||
| sql( | ||
| "CREATE TABLE test_5182_0 (from_uid STRING, vgift_typeid int, vm_count int, " + | ||
| "status bigint, ts bigint, vm_typeid int) " + | ||
| "USING hive OPTIONS(fileFormat 'parquet') PARTITIONED BY (`day` STRING);") | ||
| sql( | ||
| "CREATE TABLE test_5182_1 (typeid int, groupid int, ss_id bigint, " + | ||
| "ss_start_time bigint, ss_end_time bigint) " + | ||
| "USING hive OPTIONS(fileFormat 'parquet');") | ||
| sql( | ||
| "INSERT INTO test_5182_0 partition(day='2024-03-31') " + | ||
| "VALUES('uid_1', 2, 10, 1, 11111111111, 2);") | ||
| sql("INSERT INTO test_5182_1 VALUES(2, 1, 1, 1000000000, 2111111111);") | ||
| val df = spark.sql( | ||
| "select ee.from_uid as uid,day, vgift_typeid, money from " + | ||
| "(select t_a.day, if(cast(substr(t_a.ts,1,10) as bigint) between " + | ||
| "t_b.ss_start_time and t_b.ss_end_time, t_b.ss_id, 0) ss_id, " + | ||
| "t_a.vgift_typeid, t_a.from_uid, vm_count money from " + | ||
| "(select from_uid,day,vgift_typeid,vm_count,ts from test_5182_0 " + | ||
| "where day between '2024-03-30' and '2024-03-31' and status=1 and vm_typeid=2) t_a " + | ||
| "left join test_5182_1 t_b on t_a.vgift_typeid=t_b.typeid " + | ||
| "where t_b.groupid in (1,2)) ee where ss_id=1;") | ||
| checkAnswer(df, Seq(Row("uid_1", "2024-03-31", 2, 10))) | ||
| } | ||
| spark.sessionState.catalog.dropTable( | ||
| TableIdentifier("test_5182_0"), | ||
| ignoreIfNotExists = true, | ||
| purge = false) | ||
| spark.sessionState.catalog.dropTable( | ||
| TableIdentifier("test_5182_1"), | ||
| ignoreIfNotExists = true, | ||
| purge = false) | ||
| } | ||
|
|
||
| testGluten("5249: Reading csv may throw Unexpected empty column") { | ||
| withSQLConf( | ||
| "spark.gluten.sql.complexType.scan.fallback.enabled" -> "false" | ||
| ) { | ||
| sql("DROP TABLE IF EXISTS test_5249;") | ||
| sql( | ||
| "CREATE TABLE test_5249 (name STRING, uid STRING) " + | ||
| "ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' " + | ||
| "STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' " + | ||
| "OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat';") | ||
| sql("INSERT INTO test_5249 VALUES('name_1', 'id_1');") | ||
| val df = spark.sql( | ||
| "SELECT name, uid, count(distinct uid) total_uid_num from test_5249 " + | ||
| "group by name, uid with cube;") | ||
| checkAnswer( | ||
| df, | ||
| Seq( | ||
| Row("name_1", "id_1", 1), | ||
| Row("name_1", null, 1), | ||
| Row(null, "id_1", 1), | ||
| Row(null, null, 1))) | ||
| } | ||
| spark.sessionState.catalog.dropTable( | ||
| TableIdentifier("test_5249"), | ||
| ignoreIfNotExists = true, | ||
| purge = false) | ||
| } | ||
|
|
||
| } |
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