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https://issues.apache.org/jira/browse/APEXMALHAR-1818?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15592356#comment-15592356
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ASF GitHub Bot commented on APEXMALHAR-1818:
--------------------------------------------
GitHub user chinmaykolhatkar reopened a pull request:
https://github.com/apache/apex-malhar/pull/432
APEXMALHAR-1818 SQL Support for converting given SQL statement to APEX DAG
Features implemented are:
1. SELECT STATEMENT
2. INSERT STATEMENT
3. INNER JOIN with non-empty equi join condition
4. WHERE clause
5. SCALAR functions implemented in calcite are ready to use
6. Custom scalar functions can be registered.
7. Endpoint can be File OR Kafka OR Streaming Port for both input and output
8. CSV Data Format implemented for both input and output side.
9. Static loading of calcite JDBC driver.
10. Testing on local as well as cluster mode.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/chinmaykolhatkar/apex-malhar calcite
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/apex-malhar/pull/432.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 #432
----
commit 2958c1159780d1ae7f00c67ab61c32f78b903b1e
Author: Chandni Singh <[email protected]>
Date: 2016-10-13T12:03:18Z
APEXMALHAR-1818 Adding BeanClassGenerator for dynamically creating class
commit a60d79eab605b1dffea5f27a73ff198a02024847
Author: Chinmay Kolhatkar <[email protected]>
Date: 2016-10-13T12:05:16Z
APEXMALHAR-1818 SQL Support for converting given SQL statement to APEX DAG.
Features implemented are:
1. SELECT STATEMENT
2. INSERT STATEMENT
3. INNER JOIN with non-empty equi join condition
4. WHERE clause
5. SCALAR functions implemented in calcite are ready to use
6. Custom scalar functions can be registered.
7. Endpoint can be File OR Kafka OR Streaming Port for both input and output
8. CSV Data Format implemented for both input and output side.
9. Testing on local as well as cluster mode.
----
> Integrate Calcite to support SQL
> --------------------------------
>
> Key: APEXMALHAR-1818
> URL: https://issues.apache.org/jira/browse/APEXMALHAR-1818
> Project: Apache Apex Malhar
> Issue Type: New Feature
> Components: query operators
> Reporter: Amol
> Assignee: Chinmay Kolhatkar
> Labels: roadmap
>
> Once we have ability to generate a subdag, we should take a look at
> integrating Calcite into Apex. The operator that enables populate DAG, should
> use Calcite to generate the DAG, given a SQL query.
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