Has the job which creates this Dataset run fine?
Try running that agani and then run the jobs that read it.
Search found 258 matches
- Fri Dec 11, 2015 1:47 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: The partition was evidently corrupted
- Replies: 6
- Views: 3809
- Wed Dec 09, 2015 2:22 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Confusion on Partitioning for Join stage
- Replies: 14
- Views: 9076
- Wed Dec 09, 2015 1:12 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Confusion on Partitioning for Join stage
- Replies: 14
- Views: 9076
Just another thought on this. The job design is like this. - - - - >Sort(Partitioned: Hash)- - - - >RemoveDuplicate(Auto) In the above case will the RemoveDuplicate stage does a sort again because its Auto? -------> Sort(Partitioned: Hash)----------> RemoveDuplicate(Partitioned:Same) In this case wi...
- Wed Dec 09, 2015 12:57 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Seq File Performance
- Replies: 12
- Views: 5548
- Tue Dec 08, 2015 12:54 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Confusion on Partitioning for Join stage
- Replies: 14
- Views: 9076
- Mon Dec 07, 2015 4:21 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Confusion on Partitioning for Join stage
- Replies: 14
- Views: 9076
- Mon Dec 07, 2015 1:30 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Confusion on Partitioning for Join stage
- Replies: 14
- Views: 9076
- Mon Dec 07, 2015 10:41 am
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Confusion on Partitioning for Join stage
- Replies: 14
- Views: 9076
Re: Confusion on Partitioning for JOin stage
Hi,
If the data that you are joining is big, its better to use hash Prtition and use the join keys as the keys for partitioning specially if your jobs are sunning on multiple nodes. This will also improve performance.
If the data that you are joining is big, its better to use hash Prtition and use the join keys as the keys for partitioning specially if your jobs are sunning on multiple nodes. This will also improve performance.
- Mon Dec 07, 2015 10:28 am
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Seq File Performance
- Replies: 12
- Views: 5548
- Mon Dec 07, 2015 8:56 am
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Seq File Performance
- Replies: 12
- Views: 5548
Thanks for you suggestions. qt_ky, I have a local server admin. What should i be looking for asking him to do? and ArndW, The test job has only the seq file and peek. It starts very fast but it slows down in 5 mins and still takes 2 hours. Is there anything else i can try out? I am also planning to ...
- Fri Dec 04, 2015 3:21 pm
- Forum: IBM QualityStage
- Topic: Match Frequency
- Replies: 8
- Views: 8112
- Fri Dec 04, 2015 2:48 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Seq File Performance
- Replies: 12
- Views: 5548
- Fri Dec 04, 2015 2:12 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Seq File Performance
- Replies: 12
- Views: 5548
after the read its just doing a column import and writting into dataset. in the log as well the seqential file stage takes about 2 hours to complete and read the whole file. and after another 10 mins the column import finishes and the jobs completes. I have also tried reading the same file with just...
- Fri Dec 04, 2015 1:28 pm
- Forum: IBM<sup>®</sup> DataStage Enterprise Edition (Formerly Parallel Extender/PX)
- Topic: Seq File Performance
- Replies: 12
- Views: 5548
Seq File Performance
Hi All,
The job reading a fixed width seq file around 150GB.
Its runs for around 2 hours.
I have tried Multiple Nodes / Readers. Dosent seem to help.
Is there anything else i can do to improve the performance?
Regards,
Samyam
The job reading a fixed width seq file around 150GB.
Its runs for around 2 hours.
I have tried Multiple Nodes / Readers. Dosent seem to help.
Is there anything else i can do to improve the performance?
Regards,
Samyam
- Mon Nov 30, 2015 12:20 pm
- Forum: IBM QualityStage
- Topic: Match Frequency
- Replies: 8
- Views: 8112
Stuart, I am worried about the execution time. Thanks for giving those hints on what to look at. Will look at them to get to a conclusion. rjdickson, Yes there are overides. but i am not sure if its for all the columns. will check that too. The question is not based on curiosity. we are having issue...