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https://issues.apache.org/jira/browse/SPARK-30022?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-30022:
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Affects Version/s: (was: 3.0.0)
3.1.0
> Supporting Parsing of Simple Hive Virtual View created from Presto
> ------------------------------------------------------------------
>
> Key: SPARK-30022
> URL: https://issues.apache.org/jira/browse/SPARK-30022
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Arun Ravi M V
> Priority: Major
>
>
> We have an environment were we use Apache Spark and Presto (both backed by
> Apache Hive Metastore). Currently, Views created from Presto fail to get
> parsed in Apache Spark. This is because Presto stores the View definition and
> View schema in a base64 encoded fashion and Spark is unable to process it. I
> would like to propose a minor change that will allow us to read these encoded
> definitions created by Presto in a Spark Program.
> Assuming that the UDFs are made available, the user should be able to read
> presto views after the fix.
>
> I would like to propose a change to
> [https://github.com/apache/spark/blob/9459833eae7fae887af560f3127997e023c51d00/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala#L440]
> to have support creation of CatlogTable for Views created from Presto.
>
> Hive Metastore DB, the table definition for Presto views (*select* * *from*
> TBLS *where* `TBL_TYPE` *like* '%VIRTUAL_VIEW%') shows that the
> VIEW_EXPANDED_TEXT is hardcoded as `/* Presto View **/` and
> VIEW_ORIGINAL_TEXT is `/** Presto View: base64({ "originalSql": "" "catalog":
> "", "schema": "", "columns": [
> { "name": "", "type": "" }
> ], "owner": ""}) */`
> Refer:
> [https://github.com/prestodb/presto/blob/3242715959a169dbcdd88946c28488d2365c8886/presto-hive/src/main/java/com/facebook/presto/hive/HiveUtil.java#L614]
>
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