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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:28 PM:
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Well, you
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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:26 PM:
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Well, you
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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:26 PM:
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Well, you
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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:24 PM:
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Well, you
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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:24 PM:
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Well, you
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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:24 PM:
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Well, you
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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:23 PM:
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Well, you
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Quentin Auge edited comment on SPARK-20227 at 4/7/17 3:22 PM:
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Well, you
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Quentin Auge commented on SPARK-20227:
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Well, you were right to ask. After further investigation, it
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Quentin Auge updated SPARK-20227:
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Environment: AWS emr-5.4.0, master: m4.xlarge, core: 4 m4.xlarge (was: AWS
emr-5.4.0 m4.xlarge)
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Quentin Auge updated SPARK-20227:
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Description:
I'm trying to replace a lot of different columns in a dataframe with aggregates
of
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Quentin Auge updated SPARK-20227:
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Description:
I'm trying to replace a lot of different columns in a dataframe with aggregates
of
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Quentin Auge edited comment on SPARK-20227 at 4/5/17 2:55 PM:
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I managed to
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Quentin Auge edited comment on SPARK-20227 at 4/5/17 2:51 PM:
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I managed to
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Quentin Auge edited comment on SPARK-20227 at 4/5/17 2:51 PM:
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I manages to
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Quentin Auge edited comment on SPARK-20227 at 4/5/17 2:51 PM:
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I managed to
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Quentin Auge commented on SPARK-20227:
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I found two distinct workarounds that prevent the job for
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Quentin Auge updated SPARK-20227:
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Description:
I'm trying to replace a lot of different columns in a dataframe with aggregates
of
Quentin Auge created SPARK-20227:
Summary: Job hangs when joining a lot of aggregated columns
Key: SPARK-20227
URL: https://issues.apache.org/jira/browse/SPARK-20227
Project: Spark
Issue
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