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DOAN DuyHai commented on SPARK-9435: ------------------------------------ Same error for me: {code:java} // Register computeDecade() as a SparkSQL function sqlContext.udf().register("computeDecade", (Integer year) -> computeDecade(year), DataTypes.StringType); final List<Album> albums = Arrays.asList(new Album(2000, "1"), new Album(2000, "2"), new Album(2000, "3")); final JavaRDD<Album> rdd = javaSc.parallelize(albums); final DataFrame df = sqlContext.createDataFrame(rdd, Album.class); df.registerTempTable("albums"); final DataFrame dataFrame = sqlContext.sql("SELECT computeDecade(year),count(title) "+ " FROM albums " + " GROUP BY computeDecade(year)"); {code} > Java UDFs don't work with GROUP BY expressions > ---------------------------------------------- > > Key: SPARK-9435 > URL: https://issues.apache.org/jira/browse/SPARK-9435 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.4.1 > Environment: All > Reporter: James Aley > Attachments: IncMain.java, points.txt > > > If you define a UDF in Java, for example by implementing the UDF1 interface, > then try to use that UDF on a column in both the SELECT and GROUP BY clauses > of a query, you'll get an error like this: > {code} > "SELECT inc(y),COUNT(DISTINCT x) FROM test_table GROUP BY inc(y)" > org.apache.spark.sql.AnalysisException: expression 'y' is neither present in > the group by, nor is it an aggregate function. Add to group by or wrap in > first() if you don't care which value you get. > {code} > We put together a minimal reproduction in the attached Java file, which makes > use of the data in the text file attached. > I'm guessing there's some kind of issue with the equality implementation, so > Spark can't tell that those two expressions are the same maybe? If you do the > same thing from Scala, it works fine. > Note for context: we ran into this issue while working around SPARK-9338. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org