Why is the status of task inconsistent between logs and spark web ui?
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I did the following operations on a rdd with 4 partitions in DStreams' foreachRDD function of my spark streaming application:
print rdd.count()
print rdd.collect()
The first statements rdd.count() is normally executed, while the second statement is always blocked by RUNNING status as the follow picture show:
However, when I take a look at the log, it shows that the task has finished.
18/11/09 16:45:30 INFO executor.Executor: Finished task 3.0 in stage 26.0 (TID 555). 197621638 bytes result sent via BlockManager)
What's the problem?
The spark version is pyspark==2.2.1, cluster is spark on yarn.
apache-spark spark-streaming
asked Nov 9 at 9:56
dae
1591112
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0
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I did the following operations on a rdd with 4 partitions in DStreams' foreachRDD function of my spark streaming application:
print rdd.count()
print rdd.collect()
The first statements rdd.count() is normally executed, while the second statement is always blocked by RUNNING status as the follow picture show:
However, when I take a look at the log, it shows that the task has finished.
18/11/09 16:45:30 INFO executor.Executor: Finished task 3.0 in stage 26.0 (TID 555). 197621638 bytes result sent via BlockManager)
What's the problem?
The spark version is pyspark==2.2.1, cluster is spark on yarn.
apache-spark spark-streaming
asked Nov 9 at 9:56
dae
1591112
What Spark version are you using? And what kind of cluster?
– Bernhard Stadler
Nov 9 at 11:06
DStreams or Structured Streaming? What is the relation between the RDD and the stream?
– Bernhard Stadler
Nov 9 at 11:14
I've added the information in the content of the question @BernhardStadler
– dae
Nov 12 at 12:06
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I did the following operations on a rdd with 4 partitions in DStreams' foreachRDD function of my spark streaming application:
print rdd.count()
print rdd.collect()
The first statements rdd.count() is normally executed, while the second statement is always blocked by RUNNING status as the follow picture show:
However, when I take a look at the log, it shows that the task has finished.
18/11/09 16:45:30 INFO executor.Executor: Finished task 3.0 in stage 26.0 (TID 555). 197621638 bytes result sent via BlockManager)
What's the problem?
The spark version is pyspark==2.2.1, cluster is spark on yarn.
apache-spark spark-streaming
asked Nov 9 at 9:56
dae
1591112
I did the following operations on a rdd with 4 partitions in DStreams' foreachRDD function of my spark streaming application:
print rdd.count()
print rdd.collect()
The first statements rdd.count() is normally executed, while the second statement is always blocked by RUNNING status as the follow picture show:
However, when I take a look at the log, it shows that the task has finished.
18/11/09 16:45:30 INFO executor.Executor: Finished task 3.0 in stage 26.0 (TID 555). 197621638 bytes result sent via BlockManager)
What's the problem?
The spark version is pyspark==2.2.1, cluster is spark on yarn.
apache-spark spark-streaming
apache-spark spark-streaming
asked Nov 9 at 9:56
dae
1591112
asked Nov 9 at 9:56
dae
1591112
edited Nov 12 at 6:38
asked Nov 9 at 9:56
dae
1591112
asked Nov 9 at 9:56
dae
1591112
asked Nov 9 at 9:56
dae
1591112
1591112
What Spark version are you using? And what kind of cluster?
– Bernhard Stadler
Nov 9 at 11:06
DStreams or Structured Streaming? What is the relation between the RDD and the stream?
– Bernhard Stadler
Nov 9 at 11:14
I've added the information in the content of the question @BernhardStadler
– dae
Nov 12 at 12:06
add a comment |
What Spark version are you using? And what kind of cluster?
– Bernhard Stadler
Nov 9 at 11:06
DStreams or Structured Streaming? What is the relation between the RDD and the stream?
– Bernhard Stadler
Nov 9 at 11:14
I've added the information in the content of the question @BernhardStadler
– dae
Nov 12 at 12:06
What Spark version are you using? And what kind of cluster?
– Bernhard Stadler
Nov 9 at 11:06
What Spark version are you using? And what kind of cluster?
– Bernhard Stadler
Nov 9 at 11:06
DStreams or Structured Streaming? What is the relation between the RDD and the stream?
– Bernhard Stadler
Nov 9 at 11:14
DStreams or Structured Streaming? What is the relation between the RDD and the stream?
– Bernhard Stadler
Nov 9 at 11:14
I've added the information in the content of the question @BernhardStadler
– dae
Nov 12 at 12:06
I've added the information in the content of the question @BernhardStadler
– dae
Nov 12 at 12:06
add a comment |
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What Spark version are you using? And what kind of cluster?
– Bernhard Stadler
Nov 9 at 11:06
DStreams or Structured Streaming? What is the relation between the RDD and the stream?
– Bernhard Stadler
Nov 9 at 11:14
I've added the information in the content of the question @BernhardStadler
– dae
Nov 12 at 12:06