GitHub user zzcclp opened a pull request:
https://github.com/apache/carbondata/pull/1840
[CARBONDATA-2054]Add an example: how to use CarbonData batch load to
integrate with Spark Streaming.
This example introduces how to use CarbonData batch load to integrate with
Spark Streaming:
Use CarbonSession.createDataFrame to convert rdd to DataFrame in
DStream.foreachRDD, and then write batch data into CarbonData table which
support auto compaction.
Be sure to do all of the following checklist to help us incorporate
your contribution quickly and easily:
- [ ] Any interfaces changed?
- [ ] Any backward compatibility impacted?
- [ ] Document update required?
- [ ] Testing done
Please provide details on
- Whether new unit test cases have been added or why no new tests
are required?
- How it is tested? Please attach test report.
- Is it a performance related change? Please attach the performance
test report.
- Any additional information to help reviewers in testing this
change.
- [ ] For large changes, please consider breaking it into sub-tasks under
an umbrella JIRA.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zzcclp/carbondata CARBONDATA-2054
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/carbondata/pull/1840.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 #1840
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commit 657eca3845e9755b26e12eee38b1af09decce879
Author: Zhang Zhichao <441586683@...>
Date: 2018-01-21T08:36:50Z
[CARBONDATA-2054]Add an example: how to use CarbonData batch load to
integrate with Spark Streaming.
This example introduces how to use CarbonData batch load to integrate with
Spark Streaming:
Use CarbonSession.createDataFrame to convert rdd to DataFrame in
DStream.foreachRDD, and then write batch data into CarbonData table which
support auto compaction.
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