GitHub user lvdongr opened a pull request:
https://github.com/apache/spark/pull/17203
[SPARK-19863][DStream] Whether or not use CachedKafkaConsumer need to be
configured, when you use DirectKafkaInputDStream t
## What changes were proposed in this pull request?
Whether or not use CachedKafkaConsumer need to be configured, when you use
DirectKafkaInputDStream to connect the kafka in a Spark Streaming application.
In Spark 2.x, the kafka consumer was replaced by CachedKafkaConsumer (some
KafkaConsumer will keep establishing the kafka cluster), and cannot change the
way. In fact ,The KafkaRDD(used by DirectKafkaInputDStream to connect kafka)
provide the parameter useConsumerCache to choose Whether to use the
CachedKafkaConsumer, but the DirectKafkaInputDStream always set the parameter
true.
## How was this patch tested?
manual tests
Please review http://spark.apache.org/contributing.html before opening a
pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/lvdongr/spark SPARK-19863
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17203.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 #17203
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commit 5d13e4e75845acabb9a11b0618669e9f51ba55fd
Author: lvdongr <lv.dongd...@zte.com.cn>
Date: 2017-03-08T04:09:40Z
[SPARK-19863][DStream] Whether or not use CachedKafkaConsumer need to be
configured, when you use DirectKafkaInputDStream t
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