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https://issues.apache.org/jira/browse/SPARK-21776?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhaP524 updated SPARK-21776:
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Description:
In generation, we have to use the Spark full quantity loaded HBase table
based on one dimension table to generate business, because the base table is
total quantity loaded, the memory will pressure is very big, I want to see if
the Spark can use this way to deal with memory mapped file?Is there such a
mechanism?How do you use it?
And I found in the Spark a parameter:
spark.storage.memoryMapThreshold=2m, is not very clear what this parameter is
used for?
There is a putBytes and getBytes method in DiskStore.scala with Spark
source code, is this the memory-mapped file mentioned above?How to understand?
Let me know if you have any trouble..
Wish to You!!
was:
In generation, we have to use the Spark full quantity loaded HBase table
based on one dimension table to generate business, because the base table is
total quantity loaded, the memory will pressure is very big, I want to see if
the Spark can use this way to deal with memory mapped file?Is there such a
mechanism?How do you use it?
And I found in the Spark a parameter:
spark.storage.memoryMapThreshold=2m, is not very clear what this parameter is
used for?
There is a putBytes and getBytes method in DiskStore.scala with Spark
source code, is this the memory-mapped file mentioned above?How to understand??
Let me know if you have any trouble..
Wish to You!!
Summary: How to use the memory-mapped file on Spark?? (was: How to use
the memory-mapped file on Spark???)
> How to use the memory-mapped file on Spark??
> --------------------------------------------
>
> Key: SPARK-21776
> URL: https://issues.apache.org/jira/browse/SPARK-21776
> Project: Spark
> Issue Type: Question
> Components: Block Manager, Documentation, Input/Output
> Affects Versions: 2.1.1
> Environment: Spark 2.1.1
> Scala 2.11.8
> Reporter: zhaP524
> Attachments: screenshot-1.png, screenshot-2.png
>
>
> In generation, we have to use the Spark full quantity loaded HBase
> table based on one dimension table to generate business, because the base
> table is total quantity loaded, the memory will pressure is very big, I want
> to see if the Spark can use this way to deal with memory mapped file?Is there
> such a mechanism?How do you use it?
> And I found in the Spark a parameter:
> spark.storage.memoryMapThreshold=2m, is not very clear what this parameter is
> used for?
> There is a putBytes and getBytes method in DiskStore.scala with Spark
> source code, is this the memory-mapped file mentioned above?How to understand?
> Let me know if you have any trouble..
> Wish to You!!
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