Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/7982#discussion_r36374004
--- Diff:
sql/hive/src/test/java/test/org/apache/spark/sql/hive/JavaDataFrameSuite.java
---
@@ -77,4 +81,26 @@ public void saveTableAndQueryIt() {
" ROWS BETWEEN 1 preceding and 1 following) " +
"FROM window_table").collectAsList());
}
+
+ @Test
+ public void testUDAF() {
+ DataFrame df = hc.range(0, 100).unionAll(hc.range(0,
100)).select(col("id").as("value"));
+ UserDefinedAggregateFunction udaf = new MyDoubleSum();
+ UserDefinedAggregateFunction registeredUDAF =
hc.udf().register("mydoublesum", udaf);
+ // Create Columns for the UDAF. For now, callUDF does not take an
argument to specific if
+ // we want to use distinct aggregation.
+ DataFrame aggregatedDF =
+ df.groupBy()
+ .agg(
+ udaf.apply(true, col("value")),
+ udaf.apply(col("value")),
+ registeredUDAF.apply(col("value")),
+ callUDF("mydoublesum", col("value")));
+
+ List<Row> expectedResult = new ArrayList<Row>();
+ expectedResult.add(RowFactory.create(4950.0, 9900.0, 9900.0, 9900.0));
+ checkAnswer(
+ aggregatedDF,
+ expectedResult);
+ }
--- End diff --
@rxin This is how we call a UDAF in java.
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