[jira] [Resolved] (SPARK-10287) After processing a query using JSON data, Spark SQL continuously refreshes metadata of the table

["Yin Huai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10287?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai resolved SPARK-10287.
------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.1

Issue resolved by pull request 8469
[https://github.com/apache/spark/pull/8469]

> After processing a query using JSON data, Spark SQL continuously refreshes metadata of the table
> ------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10287
>                 URL: https://issues.apache.org/jira/browse/SPARK-10287
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Yin Huai
>            Priority: Critical
>             Fix For: 1.5.1
>
>
> I have a partitioned json table with 1824 partitions.
> {code}
> val df = sqlContext.read.format("json").load("aPartitionedJsonData")
> val columnStr = df.schema.map(_.name).mkString(",")
> println(s"columns: $columnStr")
> val hash = df
>   .selectExpr(s"hash($columnStr) as hashValue")
>   .groupBy()
>   .sum("hashValue")
>   .head()
>   .getLong(0)
> {code}
> Looks like for JSON, we refresh metadata when we call buildScan. For a partitioned table, we call buildScan for every partition. So, looks like we will refresh this table 1824 times.



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