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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/05/27 23:50:18 UTC
[jira] [Updated] (SPARK-5881) RDD remains cached after the table
gets overridden by "CACHE TABLE"
[ https://issues.apache.org/jira/browse/SPARK-5881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai updated SPARK-5881:
----------------------------
Target Version/s: (was: 1.4.0)
> RDD remains cached after the table gets overridden by "CACHE TABLE"
> -------------------------------------------------------------------
>
> Key: SPARK-5881
> URL: https://issues.apache.org/jira/browse/SPARK-5881
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yin Huai
> Priority: Critical
>
> {code}
> val rdd = sc.parallelize((1 to 10).map(i => s"""{"a":$i, "b":"str${i}"}"""))
> sqlContext.jsonRDD(rdd).registerTempTable("jt")
> sqlContext.sql("CACHE TABLE foo AS SELECT * FROM jt")
> sqlContext.sql("CACHE TABLE foo AS SELECT a FROM jt")
> {code}
> After the second CACHE TABLE command, the RDD for the first table still remains in the cache.
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