[jira] [Commented] (SPARK-21198) SparkSession catalog is terribly slow

["Saif Addin (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16071759#comment-16071759 ] 

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

[~viirya] any chance you could take a look?

> 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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