[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/4629#issuecomment-74776715 [Test build #27657 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/27657/consoleFull) for PR 4629 at commit [`dffe34e`](https://github.com/apache/spark/commit/dffe34ee262aa098c12323fd27995ce9f542fa95). * This patch **passes all tests**. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class Partitioner(object):` * `class SparkJobInfo(namedtuple(SparkJobInfo, jobId stageIds status)):` * `class SparkStageInfo(namedtuple(SparkStageInfo,` * `class StatusTracker(object):` --- 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: [SPARK-5785] [PySpark] narrow dependency for c...
Github user JoshRosen commented on the pull request: https://github.com/apache/spark/pull/4629#issuecomment-74789577 Thanks for adding the test. LGTM, so I'm going to merge this into `master` (1.4.0) and `branch-1.3` (1.3.0). 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 pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user squito commented on a diff in the pull request: https://github.com/apache/spark/pull/4629#discussion_r24852684 --- Diff: python/pyspark/tests.py --- @@ -740,6 +739,27 @@ def test_multiple_python_java_RDD_conversions(self): converted_rdd = RDD(data_python_rdd, self.sc) self.assertEqual(2, converted_rdd.count()) +def test_narrow_dependency_in_join(self): +rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x)) --- End diff -- do these tests actually check for a narrow dependency at all? I think they will pass even without it. I'm not sure of a better suggestion, though. I had to use `getNarrowDependencies` in another PR to check this: https://github.com/apache/spark/pull/4449/files#diff-4bc3643ce90b54113cad7104f91a075bR582 but I don't think that is even exposed in pyspark ... --- 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: [SPARK-5785] [PySpark] narrow dependency for c...
Github user davies commented on a diff in the pull request: https://github.com/apache/spark/pull/4629#discussion_r24853424 --- Diff: python/pyspark/tests.py --- @@ -740,6 +739,27 @@ def test_multiple_python_java_RDD_conversions(self): converted_rdd = RDD(data_python_rdd, self.sc) self.assertEqual(2, converted_rdd.count()) +def test_narrow_dependency_in_join(self): +rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x)) --- End diff -- This test is only for correctness, I will add more check for narrow dependency base one the Python progress API (#3027) --- 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: [SPARK-5785] [PySpark] narrow dependency for c...
Github user JoshRosen commented on a diff in the pull request: https://github.com/apache/spark/pull/4629#discussion_r24857765 --- Diff: python/pyspark/tests.py --- @@ -740,6 +739,27 @@ def test_multiple_python_java_RDD_conversions(self): converted_rdd = RDD(data_python_rdd, self.sc) self.assertEqual(2, converted_rdd.count()) +def test_narrow_dependency_in_join(self): +rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x)) --- End diff -- I've merged #3027, so I think we can now test this by setting a job group, running a job, then querying the statusTracker to determine how many stages were actually run as part of that job. --- 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: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user davies commented on a diff in the pull request: https://github.com/apache/spark/pull/4629#discussion_r24857907 --- Diff: python/pyspark/tests.py --- @@ -740,6 +739,27 @@ def test_multiple_python_java_RDD_conversions(self): converted_rdd = RDD(data_python_rdd, self.sc) self.assertEqual(2, converted_rdd.count()) +def test_narrow_dependency_in_join(self): +rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x)) --- End diff -- done! --- 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: [SPARK-5785] [PySpark] narrow dependency for c...
Github user squito commented on a diff in the pull request: https://github.com/apache/spark/pull/4629#discussion_r24861247 --- Diff: python/pyspark/tests.py --- @@ -740,6 +739,27 @@ def test_multiple_python_java_RDD_conversions(self): converted_rdd = RDD(data_python_rdd, self.sc) self.assertEqual(2, converted_rdd.count()) +def test_narrow_dependency_in_join(self): +rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x)) --- End diff -- nice! --- 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: [SPARK-5785] [PySpark] narrow dependency for c...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/4629#issuecomment-74575564 [Test build #27573 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/27573/consoleFull) for PR 4629 at commit [`eb26c62`](https://github.com/apache/spark/commit/eb26c62f4a3dc5920df2d2624918826d32d97bb5). * 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: [SPARK-5785] [PySpark] narrow dependency for c...
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4629#discussion_r24778077
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -961,7 +961,14 @@ class SparkContext(config: SparkConf) extends Logging
with ExecutorAllocationCli
}
/** Build the union of a list of RDDs. */
- def union[T: ClassTag](rdds: Seq[RDD[T]]): RDD[T] = new UnionRDD(this,
rdds)
+ def union[T: ClassTag](rdds: Seq[RDD[T]]): RDD[T] = {
+val partitioners = rdds.map(_.partitioner).toSet
+if (partitioners.size == 1 partitioners.head.isDefined) {
+ new PartitionerAwareUnionRDD(this, rdds)
+} else {
+ new UnionRDD(this, rdds)
+}
+ }
/** Build the union of a list of RDDs passed as variable-length
arguments. */
def union[T: ClassTag](first: RDD[T], rest: RDD[T]*): RDD[T] =
--- End diff --
Can we change this method to call the `union` method that you modified so
the change will take effect here, too?
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4629#discussion_r24778143
--- Diff: core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
---
@@ -330,6 +331,15 @@ private[spark] object PythonRDD extends Logging {
}
/**
+ * Return an RDD of values from an RDD of (Long, Array[Byte]), with
preservePartitions=true
+ *
+ * This is useful for PySpark to have the partitioner after partitionBy()
+ */
+ def valueOfPair(pair: JavaPairRDD[Long, Array[Byte]]):
JavaRDD[Array[Byte]] = {
--- End diff --
I think that `JavaPairRDD.values` should do the same thing; is there a
reason why we can't call that directly from Python?
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
GitHub user davies opened a pull request: https://github.com/apache/spark/pull/4629 [SPARK-5785] [PySpark] narrow dependency for cogroup/join in PySpark Currently, PySpark does not support narrow dependency during cogroup/join when the two RDDs have the partitioner, another unnecessary shuffle stage will come in. The Python implementation of cogroup/join is different than Scala one, it depends on union() and partitionBy(). This patch will try to use PartitionerAwareUnionRDD() in union(), when all the RDDs have the same partitioner. It also fix `reservePartitioner` in all the map() or mapPartitions(), then partitionBy() can skip the unnecessary shuffle stage. You can merge this pull request into a Git repository by running: $ git pull https://github.com/davies/spark narrow Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/4629.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 #4629 commit eb26c62f4a3dc5920df2d2624918826d32d97bb5 Author: Davies Liu dav...@databricks.com Date: 2015-02-16T21:17:11Z narrow dependency in PySpark --- 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: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/4629#discussion_r24778859
--- Diff: core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
---
@@ -330,6 +331,15 @@ private[spark] object PythonRDD extends Logging {
}
/**
+ * Return an RDD of values from an RDD of (Long, Array[Byte]), with
preservePartitions=true
+ *
+ * This is useful for PySpark to have the partitioner after partitionBy()
+ */
+ def valueOfPair(pair: JavaPairRDD[Long, Array[Byte]]):
JavaRDD[Array[Byte]] = {
--- End diff --
In Scala/Java API, RDD.values() will change the RDD from (K, V) into RDD of
V, so `preservePartitions` should not be `true`.
For PySpark, it change the RDD from (hash, [(K, V)]) to (K, V),
`preservePartitions` should be true.
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/4629#discussion_r24780473
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -961,7 +961,14 @@ class SparkContext(config: SparkConf) extends Logging
with ExecutorAllocationCli
}
/** Build the union of a list of RDDs. */
- def union[T: ClassTag](rdds: Seq[RDD[T]]): RDD[T] = new UnionRDD(this,
rdds)
+ def union[T: ClassTag](rdds: Seq[RDD[T]]): RDD[T] = {
+val partitioners = rdds.map(_.partitioner).toSet
+if (partitioners.size == 1 partitioners.head.isDefined) {
+ new PartitionerAwareUnionRDD(this, rdds)
+} else {
+ new UnionRDD(this, rdds)
+}
+ }
/** Build the union of a list of RDDs passed as variable-length
arguments. */
def union[T: ClassTag](first: RDD[T], rest: RDD[T]*): RDD[T] =
--- End diff --
fixed
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4629#discussion_r24787685
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -961,11 +961,18 @@ class SparkContext(config: SparkConf) extends Logging
with ExecutorAllocationCli
}
/** Build the union of a list of RDDs. */
- def union[T: ClassTag](rdds: Seq[RDD[T]]): RDD[T] = new UnionRDD(this,
rdds)
+ def union[T: ClassTag](rdds: Seq[RDD[T]]): RDD[T] = {
+val partitioners = rdds.map(_.partitioner).toSet
--- End diff --
If `_.partitioner` is an option, then I think this can be simplified by
using `flatMap` instead of `map`, since that would just let you check whether
`partitioners.size == 1` on the next line without having to have the
`isDefined` check as well.
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
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[GitHub] spark pull request: [SPARK-5785] [PySpark] narrow dependency for c...
Github user JoshRosen commented on the pull request: https://github.com/apache/spark/pull/4629#issuecomment-74607728 LGTM overall; this is tricky logic, though, so I'll take one more pass through when I get home. --- 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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