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[SPARK-6409][SQL] It is not necessary that avoid old inteface of hive, because this will make some UDAF can not work. #5131

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[SPARK-6409][SQL] It is not necessary that avoid old inteface of hive, because this will make some UDAF can not work. #5131

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c3f046f
Merge pull request #1 from apache/master
pzzs Mar 2, 2015
cb1852d
Merge pull request #2 from apache/master
pzzs Mar 5, 2015
c87e8b6
Merge pull request #3 from apache/master
pzzs Mar 10, 2015
161cae3
Merge pull request #4 from apache/master
pzzs Mar 12, 2015
98b134f
Merge pull request #5 from apache/master
pzzs Mar 19, 2015
49c62dc
Update hiveUdfs.scala
pzzs Mar 23, 2015
9de08d0
Update HiveUdfSuite.scala
pzzs Mar 25, 2015
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3 changes: 1 addition & 2 deletions sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala
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Expand Up @@ -366,9 +366,8 @@ private[hive] case class HiveUdafFunction(

private val returnInspector = function.init(GenericUDAFEvaluator.Mode.COMPLETE, inspectors)

// Cast required to avoid type inference selecting a deprecated Hive API.
private val buffer =
function.getNewAggregationBuffer.asInstanceOf[GenericUDAFEvaluator.AbstractAggregationBuffer]
function.getNewAggregationBuffer

override def eval(input: Row): Any = unwrap(function.evaluate(buffer), returnInspector)

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11 changes: 10 additions & 1 deletion sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUdfSuite.scala
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Expand Up @@ -22,7 +22,7 @@ import java.util
import java.util.Properties

import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF
import org.apache.hadoop.hive.ql.udf.generic.{GenericUDAFAverage, GenericUDF}
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredObject
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory
import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector, ObjectInspectorFactory}
Expand Down Expand Up @@ -93,6 +93,15 @@ class HiveUdfSuite extends QueryTest {
sql("DROP TEMPORARY FUNCTION IF EXISTS testUdf")
}

test("SPARK-6409 UDAFAverage test") {
sql(s"CREATE TEMPORARY FUNCTION test_avg AS '${classOf[GenericUDAFAverage].getName}'")
checkAnswer(
sql("SELECT test_avg(1), test_avg(substr(value,5)) FROM src"),
Seq(Row(1.0, 260.182)))
sql("DROP TEMPORARY FUNCTION IF EXISTS test_avg")
TestHive.reset()
}

test("SPARK-2693 udaf aggregates test") {
checkAnswer(sql("SELECT percentile(key, 1) FROM src LIMIT 1"),
sql("SELECT max(key) FROM src").collect().toSeq)
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