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https://issues.apache.org/jira/browse/SPARK-10914?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14948513#comment-14948513
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Ben Moran commented on SPARK-10914:
-----------------------------------
I think you've got it - if I also turn off UseCompressedOops for the driver as
well as the executor, it gives correct results:
bin/spark-shell --master spark://spark-worker:7077 --conf
"spark.executor.extraJavaOptions=-XX:-UseCompressedOops" --driver-java-options
"-XX:-UseCompressedOops"
Does this leave me with a viable workaround? I'm not sure of the impact of
UseCompressedOops
> Incorrect empty join sets when executor-memory >= 32g
> -----------------------------------------------------
>
> Key: SPARK-10914
> URL: https://issues.apache.org/jira/browse/SPARK-10914
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0, 1.5.1
> Environment: Ubuntu 14.04 (spark-slave), 12.04 (master)
> Reporter: Ben Moran
>
> Using an inner join, to match together two integer columns, I generally get
> no results when there should be matches. But the results vary and depend on
> whether the dataframes are coming from SQL, JSON, or cached, as well as the
> order in which I cache things and query them.
> This minimal example reproduces it consistently for me in the spark-shell, on
> new installs of both 1.5.0 and 1.5.1 (pre-built against Hadoop 2.6 from
> http://spark.apache.org/downloads.html.)
> {code}
> /* x is {"xx":1}{"xx":2} and y is just {"yy":1}{"yy:2} */
> val x = sql("select 1 xx union all select 2")
> val y = sql("select 1 yy union all select 2")
> x.join(y, $"xx" === $"yy").count() /* expect 2, get 0 */
> /* If I cache both tables it works: */
> x.cache()
> y.cache()
> x.join(y, $"xx" === $"yy").count() /* expect 2, get 2 */
> /* but this still doesn't work: */
> x.join(y, $"xx" === $"yy").filter("yy=1").count() /* expect 1, get 0 */
> {code}
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