[jira] [Assigned] (SPARK-18856) Newly created catalog table assumed to have 0 rows and 0 bytes

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18856?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-18856:
------------------------------------

    Assignee:     (was: Apache Spark)

> Newly created catalog table assumed to have 0 rows and 0 bytes
> --------------------------------------------------------------
>
>                 Key: SPARK-18856
>                 URL: https://issues.apache.org/jira/browse/SPARK-18856
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Reynold Xin
>            Priority: Blocker
>
> {code}
> scala> spark.range(100).selectExpr("id % 10 p", "id").write.partitionBy("p").format("json").saveAsTable("testjson")
> scala> spark.table("testjson").queryExecution.optimizedPlan.statistics
> res6: org.apache.spark.sql.catalyst.plans.logical.Statistics = Statistics(sizeInBytes=0, isBroadcastable=false)
> {code}
> It shouldn't be 0. The issue is that in DataSource.scala, we do:
> {code}
>         val fileCatalog = if (sparkSession.sqlContext.conf.manageFilesourcePartitions &&
>             catalogTable.isDefined && catalogTable.get.tracksPartitionsInCatalog) {
>           new CatalogFileIndex(
>             sparkSession,
>             catalogTable.get,
>             catalogTable.get.stats.map(_.sizeInBytes.toLong).getOrElse(0L))
>         } else {
>           new InMemoryFileIndex(sparkSession, globbedPaths, options, Some(partitionSchema))
>         }
> {code}
> We shouldn't use 0L as the fallback.



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