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From "Saif Addin (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-21198) SparkSession catalog is terribly slow
Date Mon, 26 Jun 2017 02:36:01 GMT

    [ https://issues.apache.org/jira/browse/SPARK-21198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16062498#comment-16062498
] 

Saif Addin commented on SPARK-21198:
------------------------------------

[~viirya]
I'll take a look again on Monday, but I am positive that the catalog retrieve is causing the
delay. I'll also share some piece of code of how I do it just in case. For now I am using
spark.sqlContext.tableNames again.

> SparkSession catalog is terribly slow
> -------------------------------------
>
>                 Key: SPARK-21198
>                 URL: https://issues.apache.org/jira/browse/SPARK-21198
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Saif Addin
>
> We have a considerably large Hive metastore and a Spark program that goes through Hive
data availability.
> In spark 1.x, we were using sqlConext.tableNames, sqlContext.sql() and sqlContext.isCached()
to go throgh Hive metastore information.
> Once migrated to spark 2.x we switched over SparkSession.catalog instead, but it turns
out that both listDatabases() and listTables() take between 5 to 20 minutes depending on the
database to return results, using operations such as the following one:
> spark.catalog.listTables(db).filter(__.isTemporary).map(__.name).collect
> and made the program unbearably slow to return a list of tables.
> I know we still have spark.sqlContext.tableNames as workaround but I am assuming this
is going to be deprecated anytime soon?



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