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https://issues.apache.org/jira/browse/HIVE-3472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank Li updated HIVE-3472:
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Description:
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
m舅舅家ultiple 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.
was:
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.
> 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
> m舅舅家ultiple 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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