cloud-fan commented on a change in pull request #28079: [SPARK-31312][SQL] Cache Class instance for the UDF instance in HiveFunctionWrapper URL: https://github.com/apache/spark/pull/28079#discussion_r400826452
########## File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveUDFDynamicLoadSuite.scala ########## @@ -0,0 +1,193 @@ +/* + * 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 + +import org.apache.spark.sql.{QueryTest, Row} +import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression} +import org.apache.spark.sql.hive.HiveShim.HiveFunctionWrapper +import org.apache.spark.sql.hive.test.TestHiveSingleton +import org.apache.spark.sql.test.SQLTestUtils +import org.apache.spark.sql.types.{IntegerType, StringType} +import org.apache.spark.util.Utils + +class HiveUDFDynamicLoadSuite extends QueryTest with SQLTestUtils with TestHiveSingleton { + + case class UDFTestInformation( + identifier: String, + funcName: String, + className: String, + fnVerifyQuery: () => Unit, + fnCreateHiveUDFExpression: () => Expression) + + private val udfTestInfos: Seq[UDFTestInformation] = Array( + // UDF + // UDFExampleAdd2 is slightly modified version of UDFExampleAdd in hive/contrib, + // which adds two integers or doubles. + UDFTestInformation( + "UDF", + "udf_add2", + "org.apache.hadoop.hive.contrib.udf.example.UDFExampleAdd2", + () => { + checkAnswer(sql("SELECT udf_add2(1, 2)"), Row(3) :: Nil) + }, + () => { + HiveSimpleUDF( + "default.udf_add2", + HiveFunctionWrapper("org.apache.hadoop.hive.contrib.udf.example.UDFExampleAdd2"), + Array( + AttributeReference("a", IntegerType, nullable = false)(), + AttributeReference("b", IntegerType, nullable = false)())) + }), + + // GenericUDF + // GenericUDFTrim2 is cloned version of GenericUDFTrim in hive/contrib. + UDFTestInformation( + "GENERIC_UDF", + "generic_udf_trim2", + "org.apache.hadoop.hive.contrib.udf.example.GenericUDFTrim2", + () => { + checkAnswer(sql("SELECT generic_udf_trim2(' hello ')"), Row("hello") :: Nil) + }, + () => { + HiveGenericUDF( + "default.generic_udf_trim2", + HiveFunctionWrapper("org.apache.hadoop.hive.contrib.udf.example.GenericUDFTrim2"), + Array(AttributeReference("a", StringType, nullable = false)()) + ) + } + ), + + // AbstractGenericUDAFResolver + // GenericUDAFSum2 is cloned version of GenericUDAFSum in hive/exec. + UDFTestInformation( + "GENERIC_UDAF", + "generic_udaf_sum2", + "org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum2", + () => { + import spark.implicits._ + val df = Seq((0: Integer) -> 0, (1: Integer) -> 1, (2: Integer) -> 2, (3: Integer) -> 3) + .toDF("key", "value").createOrReplaceTempView("t") + checkAnswer(sql("SELECT generic_udaf_sum2(value) FROM t GROUP BY key % 2"), + Row(2) :: Row(4) :: Nil) + }, + () => { + HiveUDAFFunction( + "default.generic_udaf_sum2", + HiveFunctionWrapper("org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum2"), + Array(AttributeReference("a", IntegerType, nullable = false)()) + ) + } + ), + + // UDAF + // UDAFExampleMax2 is cloned version of UDAFExampleMax in hive/contrib. + UDFTestInformation( + "UDAF", + "udaf_max2", + "org.apache.hadoop.hive.contrib.udaf.example.UDAFExampleMax2", + () => { + import spark.implicits._ + val df = Seq((0: Integer) -> 0, (1: Integer) -> 1, (2: Integer) -> 2, (3: Integer) -> 3) + .toDF("key", "value").createOrReplaceTempView("t") + checkAnswer(sql("SELECT udaf_max2(value) FROM t GROUP BY key % 2"), + Row(2) :: Row(3) :: Nil) + }, + () => { + HiveUDAFFunction( + "default.udaf_max2", + HiveFunctionWrapper("org.apache.hadoop.hive.contrib.udaf.example.UDAFExampleMax2"), + Array(AttributeReference("a", IntegerType, nullable = false)()), + isUDAFBridgeRequired = true + ) + } + ), + + // GenericUDTF + // GenericUDTFCount3 is slightly modified version of GenericUDTFCount2 in hive/contrib, + // which emits the count for three times. + UDFTestInformation( + "GENERIC_UDTF", + "udtf_count3", + "org.apache.hadoop.hive.contrib.udtf.example.GenericUDTFCount3", + () => { + checkAnswer( + sql("SELECT udtf_count3(a) FROM (SELECT 1 AS a FROM src LIMIT 3) t"), + Row(3) :: Row(3) :: Row(3) :: Nil) + }, + () => { + HiveGenericUDTF( + "default.udtf_count3", + HiveFunctionWrapper("org.apache.hadoop.hive.contrib.udtf.example.GenericUDTFCount3"), + Array.empty[Expression] + ) + } + ) + ) + + udfTestInfos.foreach { udfInfo => + val jarUrl = getHiveUDFTestJarUrl Review comment: We can inline it as well ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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