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Alessio edited comment on SPARK-15565 at 10/13/16 7:49 PM:
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Yes Sean, indeed in
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Alessio commented on SPARK-15565:
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Yes Sean, indeed in my latest issue SPARK-17918 I was referring to
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Environment: Mac OS X 10.11.6 (was: Macintosh)
> Default Warehouse location apparently in HDFS
>
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Summary: Default Warehouse location apparently in HDFS (was: Default
Warehause location apparently in
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
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https://issues.apache.org/jira/browse/SPARK-17918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-17918:
Description:
It seems that the default warehouse location in Spark 2.0.1 not only points at
an inexistent
Alessio created SPARK-17918:
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Summary: Default Warehause location apparently in HDFS
Key: SPARK-17918
URL: https://issues.apache.org/jira/browse/SPARK-17918
Project: Spark
Issue Type: Bug
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Alessio commented on SPARK-15565:
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Same problem happened again in Spark 2.0.1.
> The default value of
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Alessio commented on SPARK-2352:
Dear Sean, I am well aware of the MultiLayer Perceptron classifier.
But
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Alessio commented on SPARK-2352:
Pretty strange that this post with such hype is still "In progress" after
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https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15485131#comment-15485131
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Alessio commented on SPARK-5575:
Pretty strange that this post with such hype is still "In progress" after
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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Alessio commented on SPARK-15904:
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If you're so absolutely sure that I'm missing something, I'm ready to
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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Alessio reopened SPARK-15904:
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> High Memory Pressure using MLlib K-means
>
>
>
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-15904:
Description:
*Please Note*: even though the issue has been marked as "not a problem" and
"resolved", this
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15330054#comment-15330054
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Alessio commented on SPARK-15904:
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For the records, just confirming that the problem is not my code, I've
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Alessio commented on SPARK-15904:
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With the --driver-memory 4G switch I've tried both. With no luck. At
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Alessio edited comment on SPARK-15904 at 6/13/16 2:48 PM:
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If anyone's
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Alessio commented on SPARK-15904:
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If anyone's interested, the dataset I'm working on is freely available
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Alessio commented on SPARK-15904:
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Correct. Memory and Disk gives priority to Memory...but my dataset is
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Alessio commented on SPARK-15904:
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My machine has 16GB of RAM. I also tried closing all the other apps,
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Alessio edited comment on SPARK-15904 at 6/13/16 1:55 PM:
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This is absolutely
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Alessio commented on SPARK-15904:
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This is absolutely weird to me. I gave Spark 9GB and during the
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Alessio edited comment on SPARK-15904 at 6/13/16 1:48 PM:
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Dear [~srowen],
at
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Alessio edited comment on SPARK-15904 at 6/13/16 1:49 PM:
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Dear [~srowen],
at
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Alessio commented on SPARK-15904:
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Dear [~srowen],
at the beginning I noticed that "Cleaning RDD” phase
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Alessio edited comment on SPARK-15904 at 6/13/16 12:45 PM:
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Dear Sean,
I must
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Alessio edited comment on SPARK-15904 at 6/13/16 12:44 PM:
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Dear Sean,
I must
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Alessio edited comment on SPARK-15904 at 6/13/16 12:41 PM:
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Dear Sean,
I must
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Alessio commented on SPARK-15904:
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Dear Sean,
I must certainly agree with you on k< High Memory Pressure
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Alessio updated SPARK-15904:
Description:
Running MLlib K-Means on a ~400MB dataset (12 partitions), persisted on Memory
and Disk.
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15327234#comment-15327234
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Alessio commented on SPARK-15904:
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My dataset has 9000+ patterns, each of which has 2000+ attributes.
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Alessio updated SPARK-15904:
Priority: Minor (was: Major)
> High Memory Pressure using MLlib K-means
>
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Alessio updated SPARK-15904:
Issue Type: Improvement (was: Bug)
> High Memory Pressure using MLlib K-means
>
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Alessio commented on SPARK-15904:
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Hi [~yuhaoyan]], the dataset size is 9120 rows and 2125 columns.
This
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessio updated SPARK-15904:
Description:
Running MLlib K-Means on a ~400MB dataset (12 partitions), persisted on Memory
and Disk.
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Alessio updated SPARK-15904:
Description:
Running MLlib K-Means on a ~400MB dataset (12 partitions), persisted on Memory
and Disk.
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https://issues.apache.org/jira/browse/SPARK-15904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Alessio updated SPARK-15904:
Description:
Running MLlib K-Means on a ~400MB dataset (12 partitions), persisted on Memory
and Disk.
Alessio created SPARK-15904:
---
Summary: High Memory Pressure using MLlib K-means
Key: SPARK-15904
URL: https://issues.apache.org/jira/browse/SPARK-15904
Project: Spark
Issue Type: Bug
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