GitHub user radekg opened a pull request:
https://github.com/apache/flink/pull/2231
[FLINK-4035] Bump Kafka producer in Kafka sink to Kafka 0.10.0.0
Hi everyone,
At The Weather Company we bumped into a problem while trying to use Flink
with Kafka 0.10.x. This PR introduces the support for `FlinkKafkaConsumer010`
and `FlinkKafkaProducer010`. Unit test coverage is provided and `mvn clean
verify` passes.
The output is below:
```
[INFO]
------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] force-shading ...................................... SUCCESS [
1.311 s]
[INFO] flink .............................................. SUCCESS [
2.939 s]
[INFO] flink-annotations .................................. SUCCESS [
1.476 s]
[INFO] flink-shaded-hadoop ................................ SUCCESS [
0.152 s]
[INFO] flink-shaded-hadoop2 ............................... SUCCESS [
7.065 s]
[INFO] flink-shaded-include-yarn-tests .................... SUCCESS [
8.543 s]
[INFO] flink-shaded-curator ............................... SUCCESS [
0.112 s]
[INFO] flink-shaded-curator-recipes ....................... SUCCESS [
1.080 s]
[INFO] flink-shaded-curator-test .......................... SUCCESS [
0.210 s]
[INFO] flink-test-utils-parent ............................ SUCCESS [
0.126 s]
[INFO] flink-test-utils-junit ............................. SUCCESS [
2.019 s]
[INFO] flink-core ......................................... SUCCESS [
34.501 s]
[INFO] flink-java ......................................... SUCCESS [
26.266 s]
[INFO] flink-runtime ...................................... SUCCESS [04:57
min]
[INFO] flink-optimizer .................................... SUCCESS [
7.914 s]
[INFO] flink-clients ...................................... SUCCESS [
6.537 s]
[INFO] flink-streaming-java ............................... SUCCESS [
37.732 s]
[INFO] flink-test-utils ................................... SUCCESS [
6.166 s]
[INFO] flink-scala ........................................ SUCCESS [
24.626 s]
[INFO] flink-runtime-web .................................. SUCCESS [
12.831 s]
[INFO] flink-examples ..................................... SUCCESS [
1.123 s]
[INFO] flink-examples-batch ............................... SUCCESS [
11.919 s]
[INFO] flink-contrib ...................................... SUCCESS [
0.096 s]
[INFO] flink-statebackend-rocksdb ......................... SUCCESS [
7.770 s]
[INFO] flink-tests ........................................ SUCCESS [06:22
min]
[INFO] flink-streaming-scala .............................. SUCCESS [
26.831 s]
[INFO] flink-streaming-connectors ......................... SUCCESS [
0.100 s]
[INFO] flink-connector-flume .............................. SUCCESS [
2.425 s]
[INFO] flink-libraries .................................... SUCCESS [
0.084 s]
[INFO] flink-table ........................................ SUCCESS [02:02
min]
[INFO] flink-connector-kafka-base ......................... SUCCESS [
4.604 s]
[INFO] flink-connector-kafka-0.8 .......................... SUCCESS [02:01
min]
[INFO] flink-connector-kafka-0.9 .......................... SUCCESS [02:38
min]
[INFO] flink-connector-kafka-0.10 ......................... SUCCESS [02:04
min]
[INFO] flink-connector-elasticsearch ...................... SUCCESS [
19.310 s]
[INFO] flink-connector-elasticsearch2 ..................... SUCCESS [
17.086 s]
[INFO] flink-connector-rabbitmq ........................... SUCCESS [
2.885 s]
[INFO] flink-connector-twitter ............................ SUCCESS [
2.649 s]
[INFO] flink-connector-nifi ............................... SUCCESS [
1.339 s]
[INFO] flink-connector-cassandra .......................... SUCCESS [01:21
min]
[INFO] flink-connector-redis .............................. SUCCESS [
5.738 s]
[INFO] flink-connector-filesystem ......................... SUCCESS [
24.871 s]
[INFO] flink-batch-connectors ............................. SUCCESS [
0.103 s]
[INFO] flink-avro ......................................... SUCCESS [
9.788 s]
[INFO] flink-jdbc ......................................... SUCCESS [
4.839 s]
[INFO] flink-hadoop-compatibility ......................... SUCCESS [
10.026 s]
[INFO] flink-hbase ........................................ SUCCESS [
2.938 s]
[INFO] flink-hcatalog ..................................... SUCCESS [
5.383 s]
[INFO] flink-examples-streaming ........................... SUCCESS [
24.339 s]
[INFO] flink-gelly ........................................ SUCCESS [
40.416 s]
[INFO] flink-gelly-scala .................................. SUCCESS [
29.050 s]
[INFO] flink-gelly-examples ............................... SUCCESS [
21.418 s]
[INFO] flink-python ....................................... SUCCESS [
58.016 s]
[INFO] flink-ml ........................................... SUCCESS [
57.270 s]
[INFO] flink-cep .......................................... SUCCESS [
6.984 s]
[INFO] flink-cep-scala .................................... SUCCESS [
8.521 s]
[INFO] flink-scala-shell .................................. SUCCESS [03:28
min]
[INFO] flink-quickstart ................................... SUCCESS [
1.248 s]
[INFO] flink-quickstart-java .............................. SUCCESS [
0.610 s]
[INFO] flink-quickstart-scala ............................. SUCCESS [
0.237 s]
[INFO] flink-storm ........................................ SUCCESS [
14.975 s]
[INFO] flink-storm-examples ............................... SUCCESS [
37.513 s]
[INFO] flink-streaming-contrib ............................ SUCCESS [
8.452 s]
[INFO] flink-tweet-inputformat ............................ SUCCESS [
3.075 s]
[INFO] flink-operator-stats ............................... SUCCESS [
6.521 s]
[INFO] flink-connector-wikiedits .......................... SUCCESS [
18.022 s]
[INFO] flink-yarn ......................................... SUCCESS [
7.539 s]
[INFO] flink-dist ......................................... SUCCESS [
11.453 s]
[INFO] flink-metrics ...................................... SUCCESS [
0.101 s]
[INFO] flink-metrics-dropwizard ........................... SUCCESS [
2.699 s]
[INFO] flink-metrics-ganglia .............................. SUCCESS [
1.320 s]
[INFO] flink-metrics-graphite ............................. SUCCESS [
1.188 s]
[INFO] flink-metrics-statsd ............................... SUCCESS [
2.271 s]
[INFO] flink-fs-tests ..................................... SUCCESS [
27.916 s]
[INFO] flink-java8 ........................................ SUCCESS [
12.209 s]
[INFO]
------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO]
------------------------------------------------------------------------
[INFO] Total time: 37:24 min
[INFO] Finished at: 2016-07-12T15:18:39-04:00
[INFO] Final Memory: 234M/1833M
[INFO]
------------------------------------------------------------------------
```
The only thing not provided right in this moment in time, is the
documentation updates. Not sure how to take on that one, some guidance would be
appreciated.
What would be the best way to proceed with the contribution?
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/TheWeatherCompany/flink kafka-0.10
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/2231.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 #2231
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