SPARK-3028. sparkEventToJson should support SparkListenerExecutorMetrics...

...Update

Author: Sandy Ryza <sandy@cloudera.com>

Closes #1961 from sryza/sandy-spark-3028 and squashes the following commits:

dccdff5 [Sandy Ryza] Fix compile error
f883ded [Sandy Ryza] SPARK-3028. sparkEventToJson should support SparkListenerExecutorMetricsUpdate
[SPARK-3022] [SPARK-3041] [mllib] Call findBins once per level + unordered feature bug fix

DecisionTree improvements:
(1) TreePoint representation to avoid binning multiple times
(2) Bug fix: isSampleValid indexed bins incorrectly for unordered categorical features
(3) Timing for DecisionTree internals

Details:

(1) TreePoint representation to avoid binning multiple times

[https://issues.apache.org/jira/browse/SPARK-3022]

Added private[tree] TreePoint class for representing binned feature values.

The input RDD of LabeledPoint is converted to the TreePoint representation initially and then cached.  This avoids the previous problem of re-computing bins multiple times.

(2) Bug fix: isSampleValid indexed bins incorrectly for unordered categorical features

[https://issues.apache.org/jira/browse/SPARK-3041]

isSampleValid used to treat unordered categorical features incorrectly: It treated the bins as if indexed by featured values, rather than by subsets of values/categories.
* exhibited for unordered features (multi-class classification with categorical features of low arity)
* Fix: Index bins correctly for unordered categorical features.

(3) Timing for DecisionTree internals

Added tree/impl/TimeTracker.scala class which is private[tree] for now, for timing key parts of DT code.
Prints timing info via logDebug.

CC: mengxr manishamde chouqin  Very similar update, with one bug fix.  Many apologies for the conflicting update, but I hope that a few more optimizations I have on the way (which depend on this update) will prove valuable to you: SPARK-3042 and SPARK-3043

Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com>

Closes #1950 from jkbradley/dt-opt1 and squashes the following commits:

5f2dec2 [Joseph K. Bradley] Fixed scalastyle issue in TreePoint
6b5651e [Joseph K. Bradley] Updates based on code review.  1 major change: persisting to memory + disk, not just memory.
2d2aaaf [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-opt1
430d782 [Joseph K. Bradley] Added more debug info on binning error.  Added some docs.
d036089 [Joseph K. Bradley] Print timing info to logDebug.
e66f1b1 [Joseph K. Bradley] TreePoint * Updated doc * Made some methods private
8464a6e [Joseph K. Bradley] Moved TimeTracker to tree/impl/ in its own file, and cleaned it up.  Removed debugging println calls from DecisionTree.  Made TreePoint extend Serialiable
a87e08f [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-opt1
0f676e2 [Joseph K. Bradley] Optimizations + Bug fix for DecisionTree
3211f02 [Joseph K. Bradley] Optimizing DecisionTree * Added TreePoint representation to avoid calling findBin multiple times. * (not working yet, but debugging)
f61e9d2 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-timing
bcf874a [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-timing
511ec85 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-timing
a95bc22 [Joseph K. Bradley] timing for DecisionTree internals
[SPARK-3046] use executor's class loader as the default serializer classloader

The serializer is not always used in an executor thread (e.g. connection manager, broadcast), in which case the classloader might not have the user jar set, leading to corruption in deserialization.

https://issues.apache.org/jira/browse/SPARK-3046

https://issues.apache.org/jira/browse/SPARK-2878

Author: Reynold Xin <rxin@apache.org>

Closes #1972 from rxin/kryoBug and squashes the following commits:

c1c7bf0 [Reynold Xin] Made change to JavaSerializer.
7204c33 [Reynold Xin] Added imports back.
d879e67 [Reynold Xin] [SPARK-3046] use executor's class loader as the default serializer class loader.
[SPARK-3078][MLLIB] Make LRWithLBFGS API consistent with others

Should ask users to set parameters through the optimizer. dbtsai

Author: Xiangrui Meng <meng@databricks.com>

Closes #1973 from mengxr/lr-lbfgs and squashes the following commits:

e3efbb1 [Xiangrui Meng] fix tests
21b3579 [Xiangrui Meng] fix method name
641eea4 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into lr-lbfgs
456ab7c [Xiangrui Meng] update LRWithLBFGS
[SPARK-3001][MLLIB] Improve Spearman's correlation

The current implementation requires sorting individual columns, which could be done with a global sort.

result on a 32-node cluster:

m | n | prev | this
---|---|-------|-----
1000000 | 50 | 55s | 9s
10000000 | 50 | 97s | 76s
1000000 | 100  | 119s | 15s

Author: Xiangrui Meng <meng@databricks.com>

Closes #1917 from mengxr/spearman and squashes the following commits:

4d5d262 [Xiangrui Meng] remove unused import
85c48de [Xiangrui Meng] minor updates
a048d0c [Xiangrui Meng] remove cache and set a limit to cachedIds
b98bb18 [Xiangrui Meng] add comments
0846e07 [Xiangrui Meng] first version
[SPARK-3015] Block on cleaning tasks to prevent Akka timeouts

More detail on the issue is described in [SPARK-3015](https://issues.apache.org/jira/browse/SPARK-3015), but the TLDR is if we send too many blocking Akka messages that are dependent on each other in quick successions, then we end up causing a few of these messages to time out and ultimately kill the executors. As of #1498, we broadcast each RDD whether or not it is persisted. This means if we create many RDDs (each of which becomes a broadcast) and the driver performs a GC that cleans up all of these broadcast blocks, then we end up sending many `RemoveBroadcast` messages in parallel and trigger the chain of blocking messages at high frequencies.

We do not know of the Akka-level root cause yet, so this is intended to be a temporary solution until we identify the real issue. I have done some preliminary testing of enabling blocking and observed that the queue length remains quite low (< 1000) even under very intensive workloads.

In the long run, we should do something more sophisticated to allow a limited degree of parallelism through batching clean up tasks or processing them in a sliding window. In the longer run, we should clean up the whole `BlockManager*` message passing interface to avoid unnecessarily awaiting on futures created from Akka asks.

tdas pwendell mengxr

Author: Andrew Or <andrewor14@gmail.com>

Closes #1931 from andrewor14/reference-blocking and squashes the following commits:

d0f7195 [Andrew Or] Merge branch 'master' of github.com:apache/spark into reference-blocking
ce9daf5 [Andrew Or] Remove logic for logging queue length
111192a [Andrew Or] Add missing space in log message (minor)
a183b83 [Andrew Or] Switch order of code blocks (minor)
9fd1fe6 [Andrew Or] Remove outdated log
104b366 [Andrew Or] Use the actual reference queue length
0b7e768 [Andrew Or] Block on cleaning tasks by default + log error on queue full
[SPARK-3045] Make Serializer interface Java friendly

Author: Reynold Xin <rxin@apache.org>

Closes #1948 from rxin/kryo and squashes the following commits:

a3a80d8 [Reynold Xin] [SPARK-3046] use executor's class loader as the default serializer classloader
3d13277 [Reynold Xin] Reverted that in TestJavaSerializerImpl too.
196f3dc [Reynold Xin] Ok one more commit to revert the classloader change.
c49b50c [Reynold Xin] Removed JavaSerializer change.
afbf37d [Reynold Xin] Moved the test case also.
a2e693e [Reynold Xin] Removed the Kryo bug fix from this pull request.
c81bd6c [Reynold Xin] Use defaultClassLoader when executing user specified custom registrator.
68f261e [Reynold Xin] Added license check excludes.
0c28179 [Reynold Xin] [SPARK-3045] Make Serializer interface Java friendly [SPARK-3046] Set executor's class loader as the default serializer class loader
[SPARK-2977] Ensure ShuffleManager is created before ShuffleBlockManager

This is intended to fix SPARK-2977.  Before, there was an implicit ordering dependency where we needed to know the ShuffleManager implementation before creating the ShuffleBlockManager.  This patch makes that dependency explicit by adding ShuffleManager to a bunch of constructors.

I think it's a little odd for BlockManager to take a ShuffleManager only to pass it to ShuffleBlockManager without using it itself; there's an opportunity to clean this up later if we sever the circular dependencies between BlockManager and other components and pass those components to BlockManager's constructor.

Author: Josh Rosen <joshrosen@apache.org>

Closes #1976 from JoshRosen/SPARK-2977 and squashes the following commits:

a9cd1e1 [Josh Rosen] [SPARK-2977] Ensure ShuffleManager is created before ShuffleBlockManager.
[SQL] Using safe floating-point numbers in doctest

Test code in `sql.py` tries to compare two floating-point numbers directly, and cased [build failure(s)](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/18365/consoleFull).

[Doctest documentation](https://docs.python.org/3/library/doctest.html#warnings) recommends using numbers in the form of `I/2**J` to avoid the precision issue.

Author: Cheng Lian <lian.cs.zju@gmail.com>

Closes #1925 from liancheng/fix-pysql-fp-test and squashes the following commits:

0fbf584 [Cheng Lian] Removed unnecessary `...' from inferSchema doctest
e8059d4 [Cheng Lian] Using safe floating-point numbers in doctest
[SPARK-3076] [Jenkins] catch & report test timeouts

* Remove unused code to get jq
* Set timeout on tests and report gracefully on them

Author: Nicholas Chammas <nicholas.chammas@gmail.com>

Closes #1974 from nchammas/master and squashes the following commits:

d1f1b6b [Nicholas Chammas] set timeout to realistic number
8b1ea41 [Nicholas Chammas] fix formatting
279526e [Nicholas Chammas] [SPARK-3076] catch & report test timeouts
[SPARK-2677] BasicBlockFetchIterator#next can wait forever

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #1632 from sarutak/SPARK-2677 and squashes the following commits:

cddbc7b [Kousuke Saruta] Removed Exception throwing when ConnectionManager#handleMessage receives ack for non-referenced message
d3bd2a8 [Kousuke Saruta] Modified configuration.md for spark.core.connection.ack.timeout
e85f88b [Kousuke Saruta] Removed useless synchronized blocks
7ed48be [Kousuke Saruta] Modified ConnectionManager to use ackTimeoutMonitor ConnectionManager-wide
9b620a6 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-2677
0dd9ad3 [Kousuke Saruta] Modified typo in ConnectionManagerSuite.scala
7cbb8ca [Kousuke Saruta] Modified to match with scalastyle
8a73974 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-2677
ade279a [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-2677
0174d6a [Kousuke Saruta] Modified ConnectionManager.scala to handle the case remote Executor cannot ack
a454239 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-2677
9b7b7c1 [Kousuke Saruta] (WIP) Modifying ConnectionManager.scala
[SPARK-3048][MLLIB] add LabeledPoint.parse and remove loadStreamingLabeledPoints

Move `parse()` from `LabeledPointParser` to `LabeledPoint` and make it public. This breaks binary compatibility only when a user uses synthesized methods like `tupled` and `curried`, which is rare.

`LabeledPoint.parse` is more consistent with `Vectors.parse`, which is why `LabeledPointParser` is not preferred.

freeman-lab tdas

Author: Xiangrui Meng <meng@databricks.com>

Closes #1952 from mengxr/labelparser and squashes the following commits:

c818fb2 [Xiangrui Meng] merge master
ce20e6f [Xiangrui Meng] update mima excludes
b386b8d [Xiangrui Meng] fix tests
2436b3d [Xiangrui Meng] add parse() to LabeledPoint
[SPARK-3081][MLLIB] rename RandomRDDGenerators to RandomRDDs

`RandomRDDGenerators` means factory for `RandomRDDGenerator`. However, its methods return RDDs but not RDDGenerators. So a more proper (and shorter) name would be `RandomRDDs`.

dorx brkyvz

Author: Xiangrui Meng <meng@databricks.com>

Closes #1979 from mengxr/randomrdds and squashes the following commits:

b161a2d [Xiangrui Meng] rename RandomRDDGenerators to RandomRDDs
[SPARK-3035] Wrong example with SparkContext.addFile

https://issues.apache.org/jira/browse/SPARK-3035

fix for wrong document.

Author: iAmGhost <kdh7807@gmail.com>

Closes #1942 from iAmGhost/master and squashes the following commits:

487528a [iAmGhost] [SPARK-3035] Wrong example with SparkContext.addFile fix for wrong document.
[SPARK-1065] [PySpark] improve supporting for large broadcast

Passing large object by py4j is very slow (cost much memory), so pass broadcast objects via files (similar to parallelize()).

Add an option to keep object in driver (it's False by default) to save memory in driver.

Author: Davies Liu <davies.liu@gmail.com>

Closes #1912 from davies/broadcast and squashes the following commits:

e06df4a [Davies Liu] load broadcast from disk in driver automatically
db3f232 [Davies Liu] fix serialization of accumulator
631a827 [Davies Liu] Merge branch 'master' into broadcast
c7baa8c [Davies Liu] compress serrialized broadcast and command
9a7161f [Davies Liu] fix doc tests
e93cf4b [Davies Liu] address comments: add test
6226189 [Davies Liu] improve large broadcast
In the stop method of ConnectionManager to cancel the ackTimeoutMonitor

cc JoshRosen sarutak

Author: GuoQiang Li <witgo@qq.com>

Closes #1989 from witgo/cancel_ackTimeoutMonitor and squashes the following commits:

4a700fa [GuoQiang Li] In the stop method of ConnectionManager to cancel the ackTimeoutMonitor
[SPARK-3077][MLLIB] fix some chisq-test

- promote nullHypothesis field in ChiSqTestResult to TestResult. Every test should have a null hypothesis
- correct null hypothesis statement for independence test
- p-value: 0.01 -> 0.1

Author: Xiangrui Meng <meng@databricks.com>

Closes #1982 from mengxr/fix-chisq and squashes the following commits:

5f0de02 [Xiangrui Meng] make ChiSqTestResult constructor package private
bc74ea1 [Xiangrui Meng] update chisq-test
[SPARK-3042] [mllib] DecisionTree Filter top-down instead of bottom-up

DecisionTree needs to match each example to a node at each iteration.  It currently does this with a set of filters very inefficiently: For each example, it examines each node at the current level and traces up to the root to see if that example should be handled by that node.

Fix: Filter top-down using the partly built tree itself.

Major changes:
* Eliminated Filter class, findBinsForLevel() method.
* Set up node parent links in main loop over levels in train().
* Added predictNodeIndex() for filtering top-down.
* Added DTMetadata class

Other changes:
* Pre-compute set of unorderedFeatures.

Notes for following expected PR based on [https://issues.apache.org/jira/browse/SPARK-3043]:
* The unorderedFeatures set will next be stored in a metadata structure to simplify function calls (to store other items such as the data in strategy).

I've done initial tests indicating that this speeds things up, but am only now running large-scale ones.

CC: mengxr manishamde chouqin  Any comments are welcome---thanks!

Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com>

Closes #1975 from jkbradley/dt-opt2 and squashes the following commits:

a0ed0da [Joseph K. Bradley] Renamed DTMetadata to DecisionTreeMetadata.  Small doc updates.
3726d20 [Joseph K. Bradley] Small code improvements based on code review.
ac0b9f8 [Joseph K. Bradley] Small updates based on code review. Main change: Now using << instead of math.pow.
db0d773 [Joseph K. Bradley] scala style fix
6a38f48 [Joseph K. Bradley] Added DTMetadata class for cleaner code
931a3a7 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-opt2
797f68a [Joseph K. Bradley] Fixed DecisionTreeSuite bug for training second level.  Needed to update treePointToNodeIndex with groupShift.
f40381c [Joseph K. Bradley] Merge branch 'dt-opt1' into dt-opt2
5f2dec2 [Joseph K. Bradley] Fixed scalastyle issue in TreePoint
6b5651e [Joseph K. Bradley] Updates based on code review.  1 major change: persisting to memory + disk, not just memory.
2d2aaaf [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-opt1
26d10dd [Joseph K. Bradley] Removed tree/model/Filter.scala since no longer used.  Removed debugging println calls in DecisionTree.scala.
356daba [Joseph K. Bradley] Merge branch 'dt-opt1' into dt-opt2
430d782 [Joseph K. Bradley] Added more debug info on binning error.  Added some docs.
d036089 [Joseph K. Bradley] Print timing info to logDebug.
e66f1b1 [Joseph K. Bradley] TreePoint * Updated doc * Made some methods private
8464a6e [Joseph K. Bradley] Moved TimeTracker to tree/impl/ in its own file, and cleaned it up.  Removed debugging println calls from DecisionTree.  Made TreePoint extend Serialiable
a87e08f [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-opt1
c1565a5 [Joseph K. Bradley] Small DecisionTree updates: * Simplification: Updated calculateGainForSplit to take aggregates for a single (feature, split) pair. * Internal doc: findAggForOrderedFeatureClassification
b914f3b [Joseph K. Bradley] DecisionTree optimization: eliminated filters + small changes
b2ed1f3 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-opt
0f676e2 [Joseph K. Bradley] Optimizations + Bug fix for DecisionTree
3211f02 [Joseph K. Bradley] Optimizing DecisionTree * Added TreePoint representation to avoid calling findBin multiple times. * (not working yet, but debugging)
f61e9d2 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-timing
bcf874a [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-timing
511ec85 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dt-timing
a95bc22 [Joseph K. Bradley] timing for DecisionTree internals
SPARK-2881. Upgrade snappy-java to 1.1.1.3.

This upgrades snappy-java which fixes the issue reported in SPARK-2881.
This is the master branch equivalent to #1994 which provides a different
work-around for the 1.1 branch.

Author: Patrick Wendell <pwendell@gmail.com>

Closes #1995 from pwendell/snappy-1.1 and squashes the following commits:

0c7c4c2 [Patrick Wendell] SPARK-2881. Upgrade snappy-java to 1.1.1.3.
Revert "[SPARK-2970] [SQL] spark-sql script ends with IOException when EventLogging is enabled"

Revert #1891 due to issues with hadoop 1 compatibility.

Author: Michael Armbrust <michael@databricks.com>

Closes #2007 from marmbrus/revert1891 and squashes the following commits:

68706c0 [Michael Armbrust] Revert "[SPARK-2970] [SQL] spark-sql script ends with IOException when EventLogging is enabled"