You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/11/04 10:48:00 UTC
[jira] [Assigned] (SPARK-25936) InsertIntoDataSourceCommand does
not use Cached Data
[ https://issues.apache.org/jira/browse/SPARK-25936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-25936:
------------------------------------
Assignee: Apache Spark
> InsertIntoDataSourceCommand does not use Cached Data
> ----------------------------------------------------
>
> Key: SPARK-25936
> URL: https://issues.apache.org/jira/browse/SPARK-25936
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Yuming Wang
> Assignee: Apache Spark
> Priority: Major
>
> How to reproduce this issue:
> {code:scala}
> spark.sql("""
> CREATE TABLE jdbcTable
> USING org.apache.spark.sql.jdbc
> OPTIONS (
> url "jdbc:mysql://localhost:3306/test",
> dbtable "test.InsertIntoDataSourceCommand",
> user "hive",
> password "hive"
> )""")
> spark.range(2).createTempView("test_view")
> spark.catalog.cacheTable("test_view")
> spark.sql("INSERT INTO TABLE jdbcTable SELECT * FROM test_view").explain
> {code}
> {noformat}
> == Physical Plan ==
> Execute InsertIntoDataSourceCommand
> +- InsertIntoDataSourceCommand
> +- Project
> +- SubqueryAlias
> +- Range (0, 2, step=1, splits=Some(8))
> {noformat}
> It should be:
> {noformat}
> == Physical Plan ==
> Execute InsertIntoDataSourceCommand InsertIntoDataSourceCommand Relation[id#8L] JDBCRelation(test.InsertIntoDataSourceCommand) [numPartitions=1], false, [id]
> +- *(1) InMemoryTableScan [id#0L]
> +- InMemoryRelation [id#0L], StorageLevel(disk, memory, deserialized, 1 replicas)
> +- *(1) Range (0, 2, step=1, splits=8)
> {noformat}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org