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https://issues.apache.org/jira/browse/FLINK-11213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16728303#comment-16728303
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vinoyang edited comment on FLINK-11213 at 12/24/18 11:14 AM:
-------------------------------------------------------------
[~lzh9] If you want to ask a question, it is a better option to send the
question to the users mailing list.
was (Author: yanghua):
[~lzh9] If you want to ask a question, it is a better option to send the
question to the [users mailing list|u...@flink.apache.org].
> Is there any condition that large amount of redis connection created on each
> TM?
> --------------------------------------------------------------------------------
>
> Key: FLINK-11213
> URL: https://issues.apache.org/jira/browse/FLINK-11213
> Project: Flink
> Issue Type: Task
> Reporter: lzh9
> Priority: Major
>
> In the job, large amount of redis connections are created on each TM, is
> there some ideas? code like:
> def main(args:Array[String]): Unit = {
> val env = StreamExecutionEnvironment.getExecutionEnvironment
> env.addSource(new Source).setParallelism(4).addSink(new
> Sinker).setParallelism(4)
> env.execute()
> }
> class Sinker extends RichSinkFunction[String]{
> lazy val applicationContext = new
> ClassPathXmlApplicationContext("application-redis-context.xml")
> lazy val redisTemplate =applicationContext.getBean("redisTemplate",
> classOf[RedisTemplate[String, String]])
> override def invoke(value: String, context: SinkFunction.Context[_]): Unit =
> {
> val value = redisTemplate.opsForValue().get("key01")
> println(value)
> }
> }
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