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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 scala.collection.JavaConverters._
import org.apache.hadoop.hive.ql.udf.UDAFPercentile
import org.apache.hadoop.hive.ql.udf.generic.{AbstractGenericUDAFResolver, GenericUDAFEvaluator, GenericUDAFMax}
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.{AggregationBuffer, Mode}
import org.apache.hadoop.hive.ql.util.JavaDataModel
import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector, ObjectInspectorFactory}
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo
import org.apache.spark.sql.{AnalysisException, QueryTest, Row}
import org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec
import org.apache.spark.sql.hive.test.TestHiveSingleton
import org.apache.spark.sql.test.SQLTestUtils
class HiveUDAFSuite extends QueryTest with TestHiveSingleton with SQLTestUtils {
import testImplicits._
protected override def beforeAll(): Unit = {
sql(s"CREATE TEMPORARY FUNCTION mock AS '${classOf[MockUDAF].getName}'")
sql(s"CREATE TEMPORARY FUNCTION hive_max AS '${classOf[GenericUDAFMax].getName}'")
Seq(
(0: Integer) -> "val_0",
(1: Integer) -> "val_1",
(2: Integer) -> null,
(3: Integer) -> null
).toDF("key", "value").repartition(2).createOrReplaceTempView("t")
}
protected override def afterAll(): Unit = {
sql(s"DROP TEMPORARY FUNCTION IF EXISTS mock")
sql(s"DROP TEMPORARY FUNCTION IF EXISTS hive_max")
}
test("built-in Hive UDAF") {
val df = sql("SELECT key % 2, hive_max(key) FROM t GROUP BY key % 2")
val aggs = df.queryExecution.executedPlan.collect {
case agg: ObjectHashAggregateExec => agg
}
// There should be two aggregate operators, one for partial aggregation, and the other for
// global aggregation.
assert(aggs.length == 2)
checkAnswer(df, Seq(
Row(0, 2),
Row(1, 3)
))
}
test("customized Hive UDAF") {
val df = sql("SELECT key % 2, mock(value) FROM t GROUP BY key % 2")
val aggs = df.queryExecution.executedPlan.collect {
case agg: ObjectHashAggregateExec => agg
}
// There should be two aggregate operators, one for partial aggregation, and the other for
// global aggregation.
assert(aggs.length == 2)
checkAnswer(df, Seq(
Row(0, Row(1, 1)),
Row(1, Row(1, 1))
))
}
test("non-deterministic children expressions of UDAF") {
withTempView("view1") {
spark.range(1).selectExpr("id as x", "id as y").createTempView("view1")
withUserDefinedFunction("testUDAFPercentile" -> true) {
// non-deterministic children of Hive UDAF
sql(s"CREATE TEMPORARY FUNCTION testUDAFPercentile AS '${classOf[UDAFPercentile].getName}'")
val e1 = intercept[AnalysisException] {
sql("SELECT testUDAFPercentile(x, rand()) from view1 group by y")
}.getMessage
assert(Seq("nondeterministic expression",
"should not appear in the arguments of an aggregate function").forall(e1.contains))
}
}
}
}
/**
* A testing Hive UDAF that computes the counts of both non-null values and nulls of a given column.
*/
class MockUDAF extends AbstractGenericUDAFResolver {
override def getEvaluator(info: Array[TypeInfo]): GenericUDAFEvaluator = new MockUDAFEvaluator
}
class MockUDAFBuffer(var nonNullCount: Long, var nullCount: Long)
extends GenericUDAFEvaluator.AbstractAggregationBuffer {
override def estimate(): Int = JavaDataModel.PRIMITIVES2 * 2
}
class MockUDAFEvaluator extends GenericUDAFEvaluator {
private val nonNullCountOI = PrimitiveObjectInspectorFactory.javaLongObjectInspector
private val nullCountOI = PrimitiveObjectInspectorFactory.javaLongObjectInspector
private val bufferOI = {
val fieldNames = Seq("nonNullCount", "nullCount").asJava
val fieldOIs = Seq(nonNullCountOI: ObjectInspector, nullCountOI: ObjectInspector).asJava
ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs)
}
private val nonNullCountField = bufferOI.getStructFieldRef("nonNullCount")
private val nullCountField = bufferOI.getStructFieldRef("nullCount")
override def getNewAggregationBuffer: AggregationBuffer = new MockUDAFBuffer(0L, 0L)
override def reset(agg: AggregationBuffer): Unit = {
val buffer = agg.asInstanceOf[MockUDAFBuffer]
buffer.nonNullCount = 0L
buffer.nullCount = 0L
}
override def init(mode: Mode, parameters: Array[ObjectInspector]): ObjectInspector = bufferOI
override def iterate(agg: AggregationBuffer, parameters: Array[AnyRef]): Unit = {
val buffer = agg.asInstanceOf[MockUDAFBuffer]
if (parameters.head eq null) {
buffer.nullCount += 1L
} else {
buffer.nonNullCount += 1L
}
}
override def merge(agg: AggregationBuffer, partial: Object): Unit = {
if (partial ne null) {
val nonNullCount = nonNullCountOI.get(bufferOI.getStructFieldData(partial, nonNullCountField))
val nullCount = nullCountOI.get(bufferOI.getStructFieldData(partial, nullCountField))
val buffer = agg.asInstanceOf[MockUDAFBuffer]
buffer.nonNullCount += nonNullCount
buffer.nullCount += nullCount
}
}
override def terminatePartial(agg: AggregationBuffer): AnyRef = {
val buffer = agg.asInstanceOf[MockUDAFBuffer]
Array[Object](buffer.nonNullCount: java.lang.Long, buffer.nullCount: java.lang.Long)
}
override def terminate(agg: AggregationBuffer): AnyRef = terminatePartial(agg)
}
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