You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/02/19 01:31:11 UTC
[jira] [Commented] (SPARK-5904) DataFrame methods with varargs do
not work in Java
[ https://issues.apache.org/jira/browse/SPARK-5904?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14326805#comment-14326805 ]
Joseph K. Bradley commented on SPARK-5904:
------------------------------------------
I'll work on this, but I'm not sure about the interaction with IncomputableColumn
> DataFrame methods with varargs do not work in Java
> --------------------------------------------------
>
> Key: SPARK-5904
> URL: https://issues.apache.org/jira/browse/SPARK-5904
> Project: Spark
> Issue Type: Bug
> Components: Java API, SQL
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
> Priority: Blocker
>
> DataFrame methods with varargs fail when called from Java due to a bug in Scala.
> This can be produced by, e.g., modifying the end of the example ml.JavaSimpleParamsExample in the master branch:
> {code}
> DataFrame results = model2.transform(test);
> results.printSchema(); // works
> results.collect(); // works
> results.filter("label > 0.0").count(); // works
> for (Row r: results.select("features", "label", "myProbability", "prediction").collect()) { // fails on select
> System.out.println("(" + r.get(0) + ", " + r.get(1) + ") -> prob=" + r.get(2)
> + ", prediction=" + r.get(3));
> }
> {code}
> I have also tried groupBy and found that failed too.
> The error looks like this:
> {code}
> Exception in thread "main" java.lang.AbstractMethodError: org.apache.spark.sql.DataFrameImpl.groupBy(Ljava/lang/String;[Ljava/lang/String;)Lorg/apache/spark/sql/GroupedData;
> at org.apache.spark.examples.ml.JavaSimpleParamsExample.main(JavaSimpleParamsExample.java:108)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
> The error appears to be from this Scala bug with using varargs in an abstract method:
> [https://issues.scala-lang.org/browse/SI-9013]
> My current plan is to move the implementations of the methods with varargs from DataFrameImpl to DataFrame.
> However, this may cause issues with IncomputableColumn---feedback??
> Thanks to [~joshrosen] for figuring the bug and fix out!
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org