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https://issues.apache.org/jira/browse/SPARK-10893?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14939710#comment-14939710
]
Herman van Hovell commented on SPARK-10893:
-------------------------------------------
I just tried the following scala code (port from your java code) in the Spark
REPL in the latest master:
{noformat}
val df = Seq(
("A", 1),
("B", -1),
("C", 2),
("d", 3),
(null.asInstanceOf[String], null.asInstanceOf[Int])).
toDF("VAA", "VBB")
val ldf = df.withColumn(
"previous",
lag(df("VBB"), 1).over(Window.orderBy(df.col("VAA"))));
ldf.show
{noformat}
This produces the following result:
{noformat}
+----+----+--------+
| VAA| VBB|previous|
+----+----+--------+
|null|null| null|
| A| 1| null|
| B| -1| 1|
| C| 2| -1|
| d| 3| 2|
+----+----+--------+
{noformat}
Unfortunately, I cannot reproduce your problem. Could you try the code above in
the REPL of you Spark installation?
> Lag Analytic function broken
> ----------------------------
>
> Key: SPARK-10893
> URL: https://issues.apache.org/jira/browse/SPARK-10893
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, SQL
> Affects Versions: 1.5.0
> Environment: Spark Standalone Cluster on Linux
> Reporter: Jo Desmet
>
> Trying to aggregate with the LAG Analytic function gives the wrong result. In
> my testcase it was always giving the fixed value '103079215105' when I tried
> to run on an integer.
> Note that this only happens on Spark 1.5.0, and only when running in cluster
> mode.
> It works fine when running on Spark 1.4.1, or when running in local mode.
> I did not test on a yarn cluster.
> I did not test other analytic aggregates.
> Input Jason:
> {code:borderStyle=solid}
> {"VAA":"A", "VBB":1}
> {"VAA":"B", "VBB":-1}
> {"VAA":"C", "VBB":2}
> {"VAA":"d", "VBB":3}
> {"VAA":null, "VBB":null}
> {code}
> Java:
> {code:borderStyle=solid}
> SparkContext sc = new SparkContext(conf);
> HiveContext sqlContext = new HiveContext(sc);
> DataFrame df = sqlContext.read().json(getInputPath("input.json"));
>
> df = df.withColumn(
> "previous",
> lag(dataFrame.col("VBB"), 1)
> .over(Window.orderBy(dataFrame.col("VAA")))
> );
> {code}
> Expected Result:
> {code:borderStyle=solid}
> {"VAA":null, "VBB":null, "previous":null}
> {"VAA":"A", "VBB":1, "previous":null}
> {"VAA":"B", "VBB":-1, "previous":1}
> {"VAA":"C", "VBB":2, "previous":-1}
> {"VAA":"d", "VBB":3, "previous":2}
> {code}
> Actual Result:
> {code:borderStyle=solid}
> {"VAA":null, "VBB":null, "previous":103079215105}
> {"VAA":"A", "VBB":1, "previous":103079215105}
> {"VAA":"B", "VBB":-1, "previous":103079215105}
> {"VAA":"C", "VBB":2, "previous":103079215105}
> {"VAA":"d", "VBB":3, "previous":103079215105}
> {code}
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