[
https://issues.apache.org/jira/browse/FLINK-11738?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
thinktothings updated FLINK-11738:
----------------------------------
Description:
Akka.ask.timeout 10 seconds, this miniCluster environment is written dead, can
not be changed?
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org.apache.flink.runtime.minicluster.MiniCluster
/**
* Creates a new Flink mini cluster based on the given configuration.
*
* @param miniClusterConfiguration The configuration for the mini cluster
*/
public MiniCluster(MiniClusterConfiguration miniClusterConfiguration) \{
this.miniClusterConfiguration = checkNotNull(miniClusterConfiguration, "config
may not be null"); this.rpcTimeout = Time.seconds(10L); this.terminationFuture
= CompletableFuture.completedFuture(null); running = false; }
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!image-2019-02-25-13-11-13-723.png!
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package com.opensourceteams.module.bigdata.flink.example.stream.worldcount.nc
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.api.windowing.time.Time
/**
* nc -lk 1234 输入数据
*/
object SocketWindowWordCount {
def main(args: Array[String]): Unit = {
val port = 1234
// get the execution environment
val env: StreamExecutionEnvironment =
StreamExecutionEnvironment.getExecutionEnvironment
// get input data by connecting to the socket
val dataStream = env.socketTextStream("localhost", port, '\n')
import org.apache.flink.streaming.api.scala._
val textResult = dataStream.flatMap( w => w.split("
s") ).map( w => WordWithCount(w,1))
.keyBy("word")
/**
* 每5秒刷新一次，相当于重新开始计数，
* 好处，不需要一直拿所有的数据统计
* 只需要在指定时间间隔内的增量数据，减少了数据规模
*/
.timeWindow(Time.seconds(5))
.sum("count" )
textResult.print().setParallelism(1)
if(args == null || args.size ==0)
{ env.execute("默认作业") }
else
{ env.execute(args(0)) }
println("结束")
}
// Data type for words with count
case class WordWithCount(word: String, count: Long)
}
---------------------------------------------------------------------------------------------------------------------------------
was:
Akka.ask.timeout 10 seconds, this miniCluster environment is written dead, can
not be changed?
---------------------------------------------------------------------------------------------------------------------------------
org.apache.flink.runtime.minicluster.MiniCluster
/**
* Creates a new Flink mini cluster based on the given configuration.
*
* @param miniClusterConfiguration The configuration for the mini cluster
*/
public MiniCluster(MiniClusterConfiguration miniClusterConfiguration) {
this.miniClusterConfiguration = checkNotNull(miniClusterConfiguration, "config
may not be null");
this.rpcTimeout = Time.seconds(10L);
this.terminationFuture = CompletableFuture.completedFuture(null);
running = false;
}
---------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------
package com.opensourceteams.module.bigdata.flink.example.stream.worldcount.nc
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.api.windowing.time.Time
/**
* nc -lk 1234 输入数据
*/
object SocketWindowWordCount {
def main(args: Array[String]): Unit = {
val port = 1234
// get the execution environment
val env: StreamExecutionEnvironment =
StreamExecutionEnvironment.getExecutionEnvironment
// get input data by connecting to the socket
val dataStream = env.socketTextStream("localhost", port, '\n')
import org.apache.flink.streaming.api.scala._
val textResult = dataStream.flatMap( w => w.split("
s") ).map( w => WordWithCount(w,1))
.keyBy("word")
/**
* 每5秒刷新一次，相当于重新开始计数，
* 好处，不需要一直拿所有的数据统计
* 只需要在指定时间间隔内的增量数据，减少了数据规模
*/
.timeWindow(Time.seconds(5))
.sum("count" )
textResult.print().setParallelism(1)
if(args == null || args.size ==0)
{ env.execute("默认作业") }
else
{ env.execute(args(0)) }
println("结束")
}
// Data type for words with count
case class WordWithCount(word: String, count: Long)
}
---------------------------------------------------------------------------------------------------------------------------------
> Caused by: akka.pattern.AskTimeoutException: Ask timed out on
> [Actor[akka://flink/user/dispatcher15e85f5d-a55d-4773-8197-f0db5658f55b#1335897563]]
> after [10000 ms]. Sender[null] sent
> --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-11738
> URL: https://issues.apache.org/jira/browse/FLINK-11738
> Project: Flink
> Issue Type: Bug
> Components: Client
> Affects Versions: 1.7.2
> Environment: flink 1.7.2 client
> !image-2019-02-25-10-57-20-106.png!
>
> !image-2019-02-25-10-57-32-876.png!
>
>
> !image-2019-02-25-10-57-39-753.png!
>
>
>
>
>
> Reporter: thinktothings
> Priority: Major
> Attachments: image-2019-02-25-13-11-13-723.png
>
>
> Akka.ask.timeout 10 seconds, this miniCluster environment is written dead,
> can not be changed?
> ---------------------------------------------------------------------------------------------------------------------------------
> org.apache.flink.runtime.minicluster.MiniCluster
> /**
> * Creates a new Flink mini cluster based on the given configuration.
> *
> * @param miniClusterConfiguration The configuration for the mini cluster
> */
> public MiniCluster(MiniClusterConfiguration miniClusterConfiguration) \{
> this.miniClusterConfiguration = checkNotNull(miniClusterConfiguration,
> "config may not be null"); this.rpcTimeout = Time.seconds(10L);
> this.terminationFuture = CompletableFuture.completedFuture(null); running =
> false; }
> ---------------------------------------------------------------------------------------------------------------------------------
> !image-2019-02-25-13-11-13-723.png!
>
>
> ---------------------------------------------------------------------------------------------------------------------------------
>
> package com.opensourceteams.module.bigdata.flink.example.stream.worldcount.nc
> import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
> import org.apache.flink.streaming.api.windowing.time.Time
> /**
> * nc -lk 1234 输入数据
> */
> object SocketWindowWordCount {
> def main(args: Array[String]): Unit = {
> val port = 1234
> // get the execution environment
> val env: StreamExecutionEnvironment =
> StreamExecutionEnvironment.getExecutionEnvironment
> // get input data by connecting to the socket
> val dataStream = env.socketTextStream("localhost", port, '\n')
> import org.apache.flink.streaming.api.scala._
> val textResult = dataStream.flatMap( w => w.split("
> s") ).map( w => WordWithCount(w,1))
> .keyBy("word")
> /**
> * 每5秒刷新一次，相当于重新开始计数，
> * 好处，不需要一直拿所有的数据统计
> * 只需要在指定时间间隔内的增量数据，减少了数据规模
> */
> .timeWindow(Time.seconds(5))
> .sum("count" )
> textResult.print().setParallelism(1)
> if(args == null || args.size ==0)
> { env.execute("默认作业") }
> else
> { env.execute(args(0)) }
> println("结束")
> }
> // Data type for words with count
> case class WordWithCount(word: String, count: Long)
> }
>
> ---------------------------------------------------------------------------------------------------------------------------------
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