[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user thunterdb commented on the issue: https://github.com/apache/spark/pull/17419 I am going to close this PR, since this is being taken over by @WeichenXu123 in #18798 . --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/17419 The copy problem is fixed in https://github.com/apache/spark/pull/18483 , I think we can remove this workaround in `ObjectHashAggregateExec`. --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user liancheng commented on the issue: https://github.com/apache/spark/pull/17419 @WeichenXu123 and I did some profiling using `jvisualvm` and found that 40% of the time is spent in the copy performed by [this `safeProjection`][1]. This is a known issue used to fight against the false sharing issue @cloud-fan and I hit before. @cloud-fan tried to fix this issue in #15082 but that PR didn't work out due to some other concerns (I can't remember all the details now). @cloud-fan, any ideas about improving `ObjectHashAggregateExec` (e.g. adding code generation support)? [1]: https://github.com/apache/spark/blob/03367d7aa3acd3abbcacba57ea75c8efa2a9a794/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala#L154 --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/17419 As the dataframe version is much slower than RDD version (currently test against vector of size 1) I also guess there is some performance issue in `ObjectAggregationIterator.processInput()` in the following code block: ``` private def processInputs(): Unit = { // ... if (groupingExpressions.isEmpty) { // If there is no grouping expressions, we can just reuse the same buffer over and over again. val groupingKey = groupingProjection.apply(null) val buffer: InternalRow = getAggregationBufferByKey(hashMap, groupingKey) while (inputRows.hasNext) { val newInput = safeProjection(inputRows.next()) processRow(buffer, newInput) } } ... ``` This statement `val newInput = safeProjection(inputRows.next())` maybe do some redundant data copy (for walk-around some bugs?) cc @cloud-fan @liancheng --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user thunterdb commented on the issue: https://github.com/apache/spark/pull/17419 I looked a bit deeper into the performance aspect. Here are some quick insights: - there was an immediate bottleneck in `VectorUDT`, which boosts the performance already by 3x - it is not clear if switching to pure Breeze operations helps given the overhead for tiny vectors. I will need to do more analysis on larger vectors. - now, most of the time is roughly split between `ObjectAggregationIterator.processInputs` (40%), some codegen'ed expression (20%) and our own `MetricsAggregate.update` (35%) That benchmark focuses on the overhead of catalyst. I will do another benchmark with dense vectors to see how it fares in practice with more real data. --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/17419 > RDD = [2482 ~ 46150 ~ 48354] records / milli the number is so varied? --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user thunterdb commented on the issue: https://github.com/apache/spark/pull/17419 I have added a small perf test to find the performance bottlenecks. Note that this test works on the worst case (vectors of size 1) from the perspective of overhead. Here are the numbers I currently get. I will profile the code to see if there are some obvious targets for optimization: ``` [min ~ median ~ max], higher is better: RDD = [2482 ~ 46150 ~ 48354] records / milli dataframe (variance only) = [4217 ~ 4557 ~ 4848] records / milli dataframe = [2887 ~ 4420 ~ 4717] records / milli ``` --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user thunterdb commented on the issue: https://github.com/apache/spark/pull/17419 @sethah it would have been nice, but I do not think we should merge it this late into the release cycle. --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user sethah commented on the issue: https://github.com/apache/spark/pull/17419 Is this being targeted for Spark 2.2? --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user dbtsai commented on the issue: https://github.com/apache/spark/pull/17419 Will be really interested to see the performance benchmark durning the QA period so users can know when to use the dataframe apis or existing rdd apis. Thanks. --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user jkbradley commented on the issue: https://github.com/apache/spark/pull/17419 I'll take a look later today. Also CCing @dbtsai I know you worked on the old summarizer, so I thought I'd ping you here. + @yanboliang and @holdenk since you commented on the design doc. --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
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[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/17419 **[Test build #75188 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/75188/testReport)** for PR 17419 at commit [`58b17dc`](https://github.com/apache/spark/commit/58b17dc3af5ebc5eaeff82559bc3be3a1f64ef38). * This patch **fails Spark unit tests**. * This patch merges cleanly. * This patch adds no public classes. --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/17419 **[Test build #75190 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/75190/testReport)** for PR 17419 at commit [`ba200bb`](https://github.com/apache/spark/commit/ba200bb1d52d468acebc9fe44f6727c570a35335). --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17419: [SPARK-19634][ML] Multivariate summarizer - dataframes A...
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/17419 **[Test build #75189 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/75189/testReport)** for PR 17419 at commit [`ffe5cfe`](https://github.com/apache/spark/commit/ffe5cfe2e5a60f3f6056d8f89f7c50bbedca3fbf). --- 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 feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org