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https://issues.apache.org/jira/browse/SPARK-12362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15074137#comment-15074137
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Apache Spark commented on SPARK-12362:
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User 'hvanhovell' has created a pull request for this issue:
https://github.com/apache/spark/pull/10509
> Create a full-fledged built-in SQL parser
> -----------------------------------------
>
> Key: SPARK-12362
> URL: https://issues.apache.org/jira/browse/SPARK-12362
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Reynold Xin
> Assignee: Apache Spark
>
> Spark currently has two SQL parsers it is using: a simple one based on Scala
> parser combinator, and another one based on Hive.
> Neither is a good long term solution. The parser combinator one has bad error
> messages for users and does not warn when there are conflicts in the defined
> grammar. The Hive one depends directly on Hive itself, and as a result, it is
> very difficult to introduce new grammar or fix bugs.
> The goal of the ticket is to create a single SQL query parser that is
> powerful enough to replace the existing ones. The requirements for the new
> parser are:
> 1. Can support almost all of HiveQL
> 2. Can support all existing SQL parser built using Scala parser combinators
> 3. Can be used for expression parsing in addition to SQL query parsing
> 4. Can provide good error messages for incorrect syntax
> Rather than building one from scratch, we should investigate whether we can
> leverage existing open source projects such as Hive (by inlining the parser
> part) or Calcite.
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