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ASF GitHub Bot commented on FLINK-3225: --------------------------------------- GitHub user fhueske opened a pull request: https://github.com/apache/flink/pull/1559 [FLINK-3225] Implemented optimization of Table API queries via Calcite - added logical Flink nodes and translation rules - added stubs for DataSet translation rules - ported DataSetNodes to Scala - reactivated tests and added expected NotImplementedError You can merge this pull request into a Git repository by running: $ git pull https://github.com/fhueske/flink calciteOpt Alternatively you can review and apply these changes as the patch at: https://github.com/apache/flink/pull/1559.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 #1559 ---- commit 3fba706ab39e3fdb1d4c3b307a36a2184476a304 Author: Fabian Hueske <fhue...@apache.org> Date: 2016-01-26T12:22:38Z [FLINK-3225] Implemented optimization of Table API queries via Calcite - added logical Flink nodes and translation rules - added stubs for DataSet translation rules - ported DataSetNodes to Scala - reactivated tests and added expected NotImplementedError ---- > Optimize logical Table API plans in Calcite > ------------------------------------------- > > Key: FLINK-3225 > URL: https://issues.apache.org/jira/browse/FLINK-3225 > Project: Flink > Issue Type: Sub-task > Components: Table API > Reporter: Fabian Hueske > Assignee: Fabian Hueske > > This task implements the optimization of logical Table API plans with Apache > Calcite. The input of the optimization process is a logical query plan > consisting of Calcite RelNodes. FLINK-3223 translates Table API queries into > this representation. > The result of this issue is an optimized logical plan. > Calcite's rule-based optimizer applies query rewriting and optimization > rules. For Batch SQL, we can use (a subset of) Calcite’s default optimization > rules. > For this issue we have to > - add the Calcite optimizer to the translation process > - select an appropriate set of batch optimization rules from Calcite’s > default rules. We can reuse the rules selected by Timo’s first SQL > implementation. -- This message was sent by Atlassian JIRA (v6.3.4#6332)