Perfromance issue when writing ORC file output from Hadoop map/reduce task
I output orc file from my hadoop task. My schema contains nested structs and some lists(about four lists). The length of each list is between 0 to 200. My task input is also orc file of simple struct.
The situation is when mapper begin to run, all mapper will be stuck at progress 1.67%, after about 20 minutes, the process starts to move forward.
I tried to figure out the reason.
- I commented out the
context.write
, the whole map reduce task finished within 10 minutes, and stuck situation is disappeared. - Output empty list, The task is still finished quickly.
So it seems the big list is the reason of the problem. However, the questions are:
- Whether ORC file with list of length 200 will cause perfromance problem? If it is, any solutions?
- why the progress stucks at begging and starts to run after 20 minutes?
the version of orc is: orc-mapreduce
1.5.2, hadoop-mapreduce-client-core
2.8.0
hadoop orc
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I output orc file from my hadoop task. My schema contains nested structs and some lists(about four lists). The length of each list is between 0 to 200. My task input is also orc file of simple struct.
The situation is when mapper begin to run, all mapper will be stuck at progress 1.67%, after about 20 minutes, the process starts to move forward.
I tried to figure out the reason.
- I commented out the
context.write
, the whole map reduce task finished within 10 minutes, and stuck situation is disappeared. - Output empty list, The task is still finished quickly.
So it seems the big list is the reason of the problem. However, the questions are:
- Whether ORC file with list of length 200 will cause perfromance problem? If it is, any solutions?
- why the progress stucks at begging and starts to run after 20 minutes?
the version of orc is: orc-mapreduce
1.5.2, hadoop-mapreduce-client-core
2.8.0
hadoop orc
add a comment |
I output orc file from my hadoop task. My schema contains nested structs and some lists(about four lists). The length of each list is between 0 to 200. My task input is also orc file of simple struct.
The situation is when mapper begin to run, all mapper will be stuck at progress 1.67%, after about 20 minutes, the process starts to move forward.
I tried to figure out the reason.
- I commented out the
context.write
, the whole map reduce task finished within 10 minutes, and stuck situation is disappeared. - Output empty list, The task is still finished quickly.
So it seems the big list is the reason of the problem. However, the questions are:
- Whether ORC file with list of length 200 will cause perfromance problem? If it is, any solutions?
- why the progress stucks at begging and starts to run after 20 minutes?
the version of orc is: orc-mapreduce
1.5.2, hadoop-mapreduce-client-core
2.8.0
hadoop orc
I output orc file from my hadoop task. My schema contains nested structs and some lists(about four lists). The length of each list is between 0 to 200. My task input is also orc file of simple struct.
The situation is when mapper begin to run, all mapper will be stuck at progress 1.67%, after about 20 minutes, the process starts to move forward.
I tried to figure out the reason.
- I commented out the
context.write
, the whole map reduce task finished within 10 minutes, and stuck situation is disappeared. - Output empty list, The task is still finished quickly.
So it seems the big list is the reason of the problem. However, the questions are:
- Whether ORC file with list of length 200 will cause perfromance problem? If it is, any solutions?
- why the progress stucks at begging and starts to run after 20 minutes?
the version of orc is: orc-mapreduce
1.5.2, hadoop-mapreduce-client-core
2.8.0
hadoop orc
hadoop orc
asked Nov 14 '18 at 9:46
living zhangliving zhang
77119
77119
add a comment |
add a comment |
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