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2018-02-08 Thread cloud-fan
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2018-02-06 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/19077 LGTM, we can also update L71 `long[] array = new long[(int) ((size + 7) / 8)];`, to use the `alignedSize` --- - To

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2018-02-06 Thread 10110346
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2018-01-01 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/19077 The idea LGTM, but I think we can simplify the implementation to allow the memory allocator to return a larger memory than requested. ---

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2017-11-10 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/19077 According to [this material](http://s3-eu-west-1.amazonaws.com/presentations2013/10_presentation.pdf#pages=42), `Unsafe.allocateMemory` uses 8-byte boundary. ---

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2017-11-10 Thread cloud-fan
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Github user kiszk commented on the issue: https://github.com/apache/spark/pull/19077 @cloud-fan IIUC, this PR does not change alignment policy for page allocation. Alignment policy still depends on JVM. This PR changes reuse policy in memory pool. If you are asking about

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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-10-06 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/19077 gentle ping @jerryshao for review --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands,

[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-09-07 Thread SparkQA
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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-09-07 Thread SparkQA
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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-09-07 Thread 10110346
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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

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2017-09-07 Thread SparkQA
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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-09-06 Thread SparkQA
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[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-09-06 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/19077 **[Test build #81491 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/81491/testReport)** for PR 19077 at commit

[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-08-31 Thread 10110346
Github user 10110346 commented on the issue: https://github.com/apache/spark/pull/19077 @jerryshao @JoshRosen yes, it would not generally be arbitrary sized allocations. Basically, we allocate memory in multiples of 4 or 8 bytes,even so, I think this change is also beneficial .

[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-08-31 Thread JoshRosen
Github user JoshRosen commented on the issue: https://github.com/apache/spark/pull/19077 Just curious: do you know where are we allocating these close-in-size chunks of memory? I understand the motivation, but just curious to know what's causing this pattern. I think the original

[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

2017-08-31 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/19077 This PR generally looks fine to me, my concern is that will this change bring in subtle impact on the code which leverage it. CC @JoshRosen to take a review. --- If your project is set

[GitHub] spark issue #19077: [SPARK-21860][core]Improve memory reuse for heap memory ...

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2017-08-30 Thread SparkQA
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