Why can per task‘s memory only reach 1 / numTasks , not greater than 1 / numTasks in ExecutionMemoryPool ?

more memory when it is running. -- Regards John Fang

Why do not push sort into shuffle in Exchange operator

e stage. Is there any other reason beyond that for discarding the sort at shuffle stage? -- Regards John Fang

回复：Driver hung and happend out of memory while writing to console progress bar

the spark version is 2.1.0 --发件人：方孝健(玄弟) 发送时间：2017年2月10日(星期五) 12:35收件人：spark-dev ; spark-user 主　题：Driver hung and happend out of memory while writing to console progress bar [Stage 172:==>

Driver hung and happend out of memory while writing to console progress bar

[Stage 172:==> (10328 + 93) / 16144] [Stage 172:==> (10329 + 93) / 16144] [Stage 172:==> (10330 + 93) / 16144] [Stage 172:==>

spark main thread quit, but the driver don't crash at standalone cluster

My spark main thread create some daemon threads which maybe timer thread. Then the spark application throw some exceptions, and the main thread will quit. But the jvm of driver don't crash for standalone cluster. Of course the question don't happen at yarn cluster. Because the application master

spark main thread quit, but the Jvm of driver don't crash

My spark main thread create some daemon thread. Then the spark application throw some exceptions, and the main thread will quit. But the jvm of driver don't crash, so How can i do? for example: val sparkConf = new SparkConf().setAppName("NetworkWordCount") sparkConf.set("spark.streaming.blockInte

how can I get the application belong to the driver？

I hope I can get the application by the driverId, but I don't find the rest api at spark。Then how can i get the application, which belong to one driver。

can we unite the UI among different standaone clusters' UI?

As we know, each standaone cluster has itself UI. Then we will have more than one UI if we have many standalone cluster. How can I only have a UI which can access different standaone clusters?

how can I set the log configuration file for spark history server ?

./start-history-server.sh starting org.apache.spark.deploy.history.HistoryServer, logging to  /home/admin/koala/data/versions/0/SPARK/2.0.2/spark-2.0.2-bin-hadoop2.6/logs/spark-admin-org.apache.spark.deploy.history.HistoryServer-1-v069166214.sqa.zmf.out Then the history will print all log to the XX