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[GitHub] [spark] srowen opened a new pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
srowen opened a new pull request #29925:
URL: https://github.com/apache/spark/pull/29925
### What changes were proposed in this pull request?
RowMatrix contains a computation based on spark.driver.maxResultSize. However, when this value is set to 0, the computation fails (log of 0). The fix is simply to correctly handle this setting, which means unlimited result size, by using a tree depth of 1 in the RowMatrix method.
### Why are the changes needed?
Simple bug fix to make several Spark ML functions which use RowMatrix run correctly in this case.
### Does this PR introduce _any_ user-facing change?
Not other than the bug fix of course.
### How was this patch tested?
Existing RowMatrix tests plus a new test.
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URL: https://github.com/apache/spark/pull/29925#issuecomment-702747767
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[GitHub] [spark] SparkQA commented on pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29925:
URL: https://github.com/apache/spark/pull/29925#issuecomment-702389716
**[Test build #129315 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/129315/testReport)** for PR 29925 at commit [`0d15226`](https://github.com/apache/spark/commit/0d152266680d424e03c072c7a592f7b344dea904).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #29925:
URL: https://github.com/apache/spark/pull/29925#discussion_r498617631
##########
File path: mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
##########
@@ -786,11 +786,15 @@ class RowMatrix @Since("1.0.0") (
* Based on the formulae: (numPartitions)^(1/depth) * objectSize <= DriverMaxResultSize
* @param aggregatedObjectSizeInBytes the size, in megabytes, of the object being tree aggregated
*/
- private[spark] def getTreeAggregateIdealDepth(aggregatedObjectSizeInBytes: Long) = {
+ private[spark] def getTreeAggregateIdealDepth(aggregatedObjectSizeInBytes: Long): Int = {
require(aggregatedObjectSizeInBytes > 0,
"Cannot compute aggregate depth heuristic based on a zero-size object to aggregate")
val maxDriverResultSizeInBytes = rows.conf.get[Long](MAX_RESULT_SIZE)
+ if (maxDriverResultSizeInBytes == 0) {
Review comment:
nit but should be do it via: `maxDriverResultSizeInBytes <= 0`
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[GitHub] [spark] srowen commented on pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
srowen commented on pull request #29925:
URL: https://github.com/apache/spark/pull/29925#issuecomment-703143085
Merged to master/3.0
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[GitHub] [spark] SparkQA commented on pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29925:
URL: https://github.com/apache/spark/pull/29925#issuecomment-702766991
**[Test build #129348 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/129348/testReport)** for PR 29925 at commit [`2274f52`](https://github.com/apache/spark/commit/2274f529503dca6873e6586abfa1853057071079).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] srowen commented on a change in pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
srowen commented on a change in pull request #29925:
URL: https://github.com/apache/spark/pull/29925#discussion_r498461716
##########
File path: mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
##########
@@ -786,11 +786,15 @@ class RowMatrix @Since("1.0.0") (
* Based on the formulae: (numPartitions)^(1/depth) * objectSize <= DriverMaxResultSize
* @param aggregatedObjectSizeInBytes the size, in megabytes, of the object being tree aggregated
*/
- private[spark] def getTreeAggregateIdealDepth(aggregatedObjectSizeInBytes: Long) = {
+ private[spark] def getTreeAggregateIdealDepth(aggregatedObjectSizeInBytes: Long): Int = {
require(aggregatedObjectSizeInBytes > 0,
"Cannot compute aggregate depth heuristic based on a zero-size object to aggregate")
val maxDriverResultSizeInBytes = rows.conf.get[Long](MAX_RESULT_SIZE)
+ if (maxDriverResultSizeInBytes == 0) {
+ // Unlimited result size, so 1 is OK
+ return 1
Review comment:
Good question - 2 could be OK too. I suspect that was chosen to line up with the default max result size. Higher depths are needed when the result size is smaller, so I figured when the result size is unlimited, the depth can be as low as possible, 1.
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[GitHub] [spark] SparkQA commented on pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29925:
URL: https://github.com/apache/spark/pull/29925#issuecomment-702370438
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[GitHub] [spark] srowen closed pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
srowen closed pull request #29925:
URL: https://github.com/apache/spark/pull/29925
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on a change in pull request #29925:
URL: https://github.com/apache/spark/pull/29925#discussion_r498617697
##########
File path: mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/RowMatrixSuite.scala
##########
@@ -121,6 +122,20 @@ class RowMatrixSuite extends SparkFunSuite with MLlibTestSparkContext {
assert(objectBiggerThanResultSize.getMessage.contains("it's bigger than maxResultSize"))
}
+ test("getTreeAggregateIdealDepth with unlimited driver size") {
Review comment:
nit but I would add a JIRA prefix like `SPARK-33043: getTree ..` in the test name.
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Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #29925:
URL: https://github.com/apache/spark/pull/29925#issuecomment-702757992
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[GitHub] [spark] karenfeng commented on a change in pull request #29925: [SPARK-33043][ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
Posted by GitBox <gi...@apache.org>.
karenfeng commented on a change in pull request #29925:
URL: https://github.com/apache/spark/pull/29925#discussion_r498460591
##########
File path: mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
##########
@@ -786,11 +786,15 @@ class RowMatrix @Since("1.0.0") (
* Based on the formulae: (numPartitions)^(1/depth) * objectSize <= DriverMaxResultSize
* @param aggregatedObjectSizeInBytes the size, in megabytes, of the object being tree aggregated
*/
- private[spark] def getTreeAggregateIdealDepth(aggregatedObjectSizeInBytes: Long) = {
+ private[spark] def getTreeAggregateIdealDepth(aggregatedObjectSizeInBytes: Long): Int = {
require(aggregatedObjectSizeInBytes > 0,
"Cannot compute aggregate depth heuristic based on a zero-size object to aggregate")
val maxDriverResultSizeInBytes = rows.conf.get[Long](MAX_RESULT_SIZE)
+ if (maxDriverResultSizeInBytes == 0) {
+ // Unlimited result size, so 1 is OK
+ return 1
Review comment:
Out of curiosity, why is this 1 given that the default argument for depth in `rdd.treeAggregate` is [2](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L1131)?
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