[GitHub] spark pull request: [SQL] Minor changes for DataFrame Implementati...
GitHub user chenghao-intel opened a pull request: https://github.com/apache/spark/pull/4339 [SQL] Minor changes for DataFrame Implementation You can merge this pull request into a Git repository by running: $ git pull https://github.com/chenghao-intel/spark dataframe_minor2 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/4339.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #4339 commit f63614bee7fe098ddc6d41ab0b6bd31b0abb5eca Author: Cheng Hao hao.ch...@intel.com Date: 2015-02-03T14:44:45Z minor change for DataFrame Implementation --- 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 pull request: [SQL] Minor changes for DataFrame Implementati...
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[GitHub] spark pull request: [SQL] Minor changes for dataframe implementati...
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[GitHub] spark pull request: [SQL] Minor changes for dataframe implementati...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/4336#issuecomment-72667963 [Test build #26653 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/26653/consoleFull) for PR 4336 at commit [`3293408`](https://github.com/apache/spark/commit/3293408b812944735e03f2a41221851faffb3669). * This patch **passes all 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 pull request: [SQL] Minor changes for DataFrame Implementati...
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[GitHub] spark pull request: [SQL] Minor changes for DataFrame Implementati...
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[GitHub] spark pull request: [SQL] Minor changes for dataframe implementati...
GitHub user chenghao-intel opened a pull request: https://github.com/apache/spark/pull/4336 [SQL] Minor changes for dataframe implementation You can merge this pull request into a Git repository by running: $ git pull https://github.com/chenghao-intel/spark dataframe_minor Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/4336.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #4336 commit 3293408b812944735e03f2a41221851faffb3669 Author: Cheng Hao hao.ch...@intel.com Date: 2015-02-03T13:53:38Z minor changes --- 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 pull request: [SQL] Minor changes for dataframe implementati...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/4336#issuecomment-72655586 [Test build #26653 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/26653/consoleFull) for PR 4336 at commit [`3293408`](https://github.com/apache/spark/commit/3293408b812944735e03f2a41221851faffb3669). * This patch merges cleanly. --- 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 pull request: [SQL] Minor changes for DataFrame Implementati...
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4339#discussion_r24034165
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala
---
@@ -141,7 +141,7 @@ private[sql] class DataFrameImpl protected[sql](
}
override def orderBy(sortCol: String, sortCols: String*): DataFrame = {
-sort(sortCol, sortCols :_*)
+orderBy(sortCol, sortCols :_*)
--- End diff --
Can you put the real types here instead? (i.e. `sortCols: String*`) as the
flow here is super confusing. Also I'd have most versions call `sort(sortCol:
String, sortCols: String*)`, where the actual work is done.
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[GitHub] spark pull request: [SQL] Minor changes for dataframe implementati...
Github user marmbrus commented on a diff in the pull request: https://github.com/apache/spark/pull/4336#discussion_r24034304 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala --- @@ -260,11 +260,11 @@ private[sql] class DataFrameImpl protected[sql]( override def take(n: Int): Array[Row] = head(n) - override def collect(): Array[Row] = queryExecution.executedPlan.executeCollect() + override def collect(): Array[Row] = rdd.collect() override def collectAsList(): java.util.List[Row] = java.util.Arrays.asList(rdd.collect() :_*) - override def count(): Long = groupBy().count().rdd.collect().head.getLong(0) + override def count(): Long = rdd.count() --- End diff -- Are these changes correct? Or are you removing the optimizations that we have in place for count and collects? --- 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 pull request: [SQL] Minor changes for DataFrame Implementati...
Github user rxin commented on the pull request: https://github.com/apache/spark/pull/4339#issuecomment-72762303 Hey @chenghao-intel thanks for doing this. I'm making changes to this file right now so I will roll your change in. --- 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 pull request: [SQL] Minor changes for DataFrame Implementati...
Github user chenghao-intel closed the pull request at: https://github.com/apache/spark/pull/4339 --- 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 pull request: [SQL] Minor changes for DataFrame Implementati...
Github user chenghao-intel commented on the pull request: https://github.com/apache/spark/pull/4339#issuecomment-72765655 OK, I am closing it. --- 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 pull request: [SQL] Minor changes for dataframe implementati...
Github user chenghao-intel commented on a diff in the pull request: https://github.com/apache/spark/pull/4336#discussion_r24053791 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala --- @@ -260,11 +260,11 @@ private[sql] class DataFrameImpl protected[sql]( override def take(n: Int): Array[Row] = head(n) - override def collect(): Array[Row] = queryExecution.executedPlan.executeCollect() + override def collect(): Array[Row] = rdd.collect() override def collectAsList(): java.util.List[Row] = java.util.Arrays.asList(rdd.collect() :_*) - override def count(): Long = groupBy().count().rdd.collect().head.getLong(0) + override def count(): Long = rdd.count() --- End diff -- Oh? If I understand correctly, I think the rdd.count() is the most optimized (partial aggregation is done in before shuffling). @rxin , can you confirm that? Sorry If I am wrong. --- 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 pull request: [SQL] Minor changes for dataframe implementati...
Github user chenghao-intel commented on a diff in the pull request: https://github.com/apache/spark/pull/4336#discussion_r24055322 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala --- @@ -260,11 +260,11 @@ private[sql] class DataFrameImpl protected[sql]( override def take(n: Int): Array[Row] = head(n) - override def collect(): Array[Row] = queryExecution.executedPlan.executeCollect() + override def collect(): Array[Row] = rdd.collect() override def collectAsList(): java.util.List[Row] = java.util.Arrays.asList(rdd.collect() :_*) - override def count(): Long = groupBy().count().rdd.collect().head.getLong(0) + override def count(): Long = rdd.count() --- End diff -- Hmm, but the `rdd.count()` is not necessary to go through the Catalyst optimizer, isn't it? It's already an parallel processing. --- 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 pull request: [SQL] Minor changes for dataframe implementati...
Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/4336#discussion_r24053977 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala --- @@ -260,11 +260,11 @@ private[sql] class DataFrameImpl protected[sql]( override def take(n: Int): Array[Row] = head(n) - override def collect(): Array[Row] = queryExecution.executedPlan.executeCollect() + override def collect(): Array[Row] = rdd.collect() override def collectAsList(): java.util.List[Row] = java.util.Arrays.asList(rdd.collect() :_*) - override def count(): Long = groupBy().count().rdd.collect().head.getLong(0) + override def count(): Long = rdd.count() --- End diff -- @marmbrus is correct. rdd.count() doesn't go through the optimizer. The original solution goes through the optimizer. Maybe a better change is to add some inline comment to explain this makes sure it goes through the optimizer, etc. --- 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 pull request: [SQL] Minor changes for dataframe implementati...
Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/4336#discussion_r24055445 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala --- @@ -260,11 +260,11 @@ private[sql] class DataFrameImpl protected[sql]( override def take(n: Int): Array[Row] = head(n) - override def collect(): Array[Row] = queryExecution.executedPlan.executeCollect() + override def collect(): Array[Row] = rdd.collect() override def collectAsList(): java.util.List[Row] = java.util.Arrays.asList(rdd.collect() :_*) - override def count(): Long = groupBy().count().rdd.collect().head.getLong(0) + override def count(): Long = rdd.count() --- End diff -- As an example of a query that can take advantage of the optimizer: df.count() If you run count from rdd, then all columns are extracted. If you run count as is, no actual columns are read. --- 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 pull request: [SQL] Minor changes for dataframe implementati...
Github user marmbrus commented on a diff in the pull request: https://github.com/apache/spark/pull/4336#discussion_r24055512 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala --- @@ -260,11 +260,11 @@ private[sql] class DataFrameImpl protected[sql]( override def take(n: Int): Array[Row] = head(n) - override def collect(): Array[Row] = queryExecution.executedPlan.executeCollect() + override def collect(): Array[Row] = rdd.collect() override def collectAsList(): java.util.List[Row] = java.util.Arrays.asList(rdd.collect() :_*) - override def count(): Long = groupBy().count().rdd.collect().head.getLong(0) + override def count(): Long = rdd.count() --- End diff -- You should always go through the optimizer :) --- 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 pull request: [SQL] Minor changes for dataframe implementati...
Github user chenghao-intel commented on a diff in the pull request: https://github.com/apache/spark/pull/4336#discussion_r24055684 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameImpl.scala --- @@ -260,11 +260,11 @@ private[sql] class DataFrameImpl protected[sql]( override def take(n: Int): Array[Row] = head(n) - override def collect(): Array[Row] = queryExecution.executedPlan.executeCollect() + override def collect(): Array[Row] = rdd.collect() override def collectAsList(): java.util.List[Row] = java.util.Arrays.asList(rdd.collect() :_*) - override def count(): Long = groupBy().count().rdd.collect().head.getLong(0) + override def count(): Long = rdd.count() --- End diff -- Ok, that makes sense, thanks for the explanation. :) --- 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 pull request: [SQL] Minor changes for dataframe implementati...
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