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https://issues.apache.org/jira/browse/HIVE-3472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13461695#comment-13461695
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Carl Steinbach commented on HIVE-3472:
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bq. ... as a data point, the grammar file of the Hive parser is about 61KB with
2487 lines, while the grammar files of the open source SQL parser
https://github.com/porcelli/plsql-parser are about 524KB with 8583 lines ...
The parser you referenced on github is actually a parser for Oracle's PL/SQL
language which is basically a combination of SQL and Ada. I think if you
stripped out the procedural components you would find that the remainder is
probably half the size of the original. Do you intend to implement PL/SQL on
top of Hive or just SQL-92?
> Build An Analytical SQL Engine for MapReduce
> --------------------------------------------
>
> Key: HIVE-3472
> URL: https://issues.apache.org/jira/browse/HIVE-3472
> Project: Hive
> Issue Type: New Feature
> Affects Versions: 0.10.0
> Reporter: Shengsheng Huang
> Attachments: SQL-design.pdf
>
>
> While there are continuous efforts in extending Hive’s SQL support (e.g., see
> some recent examples such as HIVE-2005 and HIVE-2810), many widely used SQL
> constructs are still not supported in HiveQL, such as selecting from multiple
> tables, subquery in WHERE clauses, etc.
> We propose to build a SQL-92 full compatible engine (for MapReduce based
> analytical query processing) as an extension to Hive.
> The SQL frontend will co-exist with the HiveQL frontend; consequently, one
> can mix SQL and HiveQL statements in their queries (switching between HiveQL
> mode and SQL-92 mode using a “hive.ql.mode” parameter before each query
> statement). This way useful Hive extensions are still accessible to users.
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