[jira] [Commented] (FLINK-3640) Add support for SQL queries in DataSet programs

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-3640?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15230383#comment-15230383 ] 

ASF GitHub Bot commented on FLINK-3640:
---------------------------------------

GitHub user vasia opened a pull request:

    https://github.com/apache/flink/pull/1862

    [FLINK-3640] Add support for SQL in DataSet programs

    This PR adds basic support for batch SQL queries embedded in Table API programs.
    In order to run a SQL query, a `DataSet` or `Table` needs to be registered in the `TableEnvironment` and then the query is executed using the `sql` method:
    
    ```
    val tEnv = getScalaTableEnvironment
    val t = getDataSet(env).toTable
    tEnv.registerTable("MyTable", t)
    val sqlQuery = "SELECT * FROM MyTable"
    val result = tEnv.sql(sqlQuery)
    ```
    The result of the `sql` method is a `Table` which can be used in subsequent Table API or SQL queries.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/vasia/flink batch-sql

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/1862.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1862
    
----

----


> Add support for SQL queries in DataSet programs
> -----------------------------------------------
>
>                 Key: FLINK-3640
>                 URL: https://issues.apache.org/jira/browse/FLINK-3640
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table API
>    Affects Versions: 1.1.0
>            Reporter: Vasia Kalavri
>            Assignee: Vasia Kalavri
>
> This issue covers the task of supporting SQL queries embedded in DataSet programs. In this mode, the input and output of a SQL query is a Table. For this issue, we need to make the following additions to the Table API:
> - add a {{tEnv.sql(query: String): Table}} method for converting a query result into a Table
> - integrate Calcite's SQL parser into the batch Table API translation process.



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