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2017-10-03 Thread kiszk
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2017-08-14 Thread kiszk
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2017-08-14 Thread cloud-fan
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2017-08-02 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 ping @rxin --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the

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2017-07-27 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 @cloud-fan how will we go forward? @rxin seems to have no comment for now. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your

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2017-07-26 Thread kiszk
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2017-07-22 Thread kiszk
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2017-07-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 @rxin As you suggested, I implemented batch approach in [this PR](https://github.com/apache/spark/pull/18704). Which one would it be good to merge into the master? cc: @cloud-fan --- If your

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2017-07-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 I think that this failure is not related to changes of this PR. @cloud-fan what option will we choose? I think that the followings are possible options: 1. merge this PR only to take this

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2017-07-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 Jenkins, retest this please --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and

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2017-07-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 @rxin IIUC, you like the batch approach due to the small block size. Why you do not like to take the adapter approach? --- If your project is set up for it, you can reply to this email and have your

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2017-07-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 @cloud-fan what do you think? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and

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2017-07-21 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/18468 Uncompress a small block at a time. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled

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2017-07-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18468 @rxin Thank you for your comment. Once I created such an implementation in another PR. When I talked with @cloud-fan, the issue in batch approach is large footprint since the batch approach once

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2017-07-21 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/18468 Hey sorry for commenting late, but I don't think this change really makes sense. If anything, I'd decompress data in batch into uncompressed column batch, rather than building an adapter. --- If

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2017-07-20 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/18468 I saw @rxin's comment at #18680 on the performance implications for new column vector implementation. As this introduces another implementation, shall we consider the issue for this too? --- If

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2017-07-19 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18468 LGTM --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the

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[GitHub] spark issue #18468: [SPARK-20783][SQL] Create CachedBatchColumnVector to abs...

2017-07-19 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue: https://github.com/apache/spark/pull/18468 Test PASSed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/79748/ Test PASSed. ---

[GitHub] spark issue #18468: [SPARK-20783][SQL] Create CachedBatchColumnVector to abs...

2017-07-19 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/18468 **[Test build #79748 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/79748/testReport)** for PR 18468 at commit