GitHub user siyuanh opened a pull request:
https://github.com/apache/incubator-apex-malhar/pull/134
New Kafka input operator using 0.9.0 Kafka consumer API
Some highlights of the operator
1. Out-of-box One-to-one and one-to-many partition scheme support plus
customizable partition schema
2. Fault-tolerant when the input operator goes down, it redeploys on other
node
3. At-least-once semantics for operator failure (no matter which operator
fails)
4. At-least-once semantics for cold restart (no data loss even if you
restart the application)
5. Multi-cluster support, one operator can consume data from more than one
kafka clusters
6. Multi-topic support, one operator can subscribe multiple topics
7. Throughput control support, you can throttle number of tuple for each
streaming window
Things needs to be done,
More unit test for different partition scheme, application restart
More integration test
Metrics for operator
Bring back idempotency
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/siyuanh/incubator-apex-malhar MLHR-1904
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-apex-malhar/pull/134.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 #134
----
commit b68a8ce77b4515f51c58150cb167e6c495c6f62c
Author: Siyuan Hua <[email protected]>
Date: 2015-12-15T18:35:30Z
Initial commit of new Kafka input operator using 0.9.0 Kafka consumer API
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