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https://issues.apache.org/jira/browse/SPARK-20555?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16284465#comment-16284465
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Gabor Feher commented on SPARK-20555:
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This issues was fixed, so in theory, you should not be getting
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Gabor Feher commented on SPARK-20555:
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Hi,
Maybe it was not clear from the title, but this issue is
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Gabor Feher updated SPARK-20555:
Description:
When querying an Oracle database, Spark maps some Oracle numeric data types to
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https://issues.apache.org/jira/browse/SPARK-20555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gabor Feher updated SPARK-20555:
Description:
When querying an Oracle database, Spark maps some Oracle numeric data types to
Gabor Feher created SPARK-20555:
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Summary: Incorrect handling of Oracle's decimal types via JDBC
Key: SPARK-20555
URL: https://issues.apache.org/jira/browse/SPARK-20555
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gabor Feher updated SPARK-15796:
Attachment: baseline.txt
memfrac06.txt
memfrac063.txt
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15318530#comment-15318530
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Gabor Feher edited comment on SPARK-15796 at 6/7/16 2:15 PM:
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MEMORY_ONLY
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15318530#comment-15318530
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Gabor Feher commented on SPARK-15796:
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MEMORY_ONLY caching works in a way that when a partition
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
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https://issues.apache.org/jira/browse/SPARK-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Gabor Feher updated SPARK-15796:
Description:
While debugging performance issues in a Spark program, I've found a simple way
to
Gabor Feher created SPARK-15796:
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Summary: Spark 1.6 default memory settings can cause heavy GC when
caching
Key: SPARK-15796
URL: https://issues.apache.org/jira/browse/SPARK-15796
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-3630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15108497#comment-15108497
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Gabor Feher commented on SPARK-3630:
Notes:
- I was able to repeat this error.
- The cluster was under
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Gabor Feher commented on SPARK-3630:
Hi, I've run into this problem as well.
{code}
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