SPARK-4111 [MLlib] add regression metrics

Add RegressionMetrics.scala as regression metrics used for evaluation and corresponding test case RegressionMetricsSuite.scala.

Author: Yanbo Liang <yanbohappy@gmail.com>
Author: liangyanbo <liangyanbo@meituan.com>

Closes #2978 from yanbohappy/regression_metrics and squashes the following commits:

730d0a9 [Yanbo Liang] more clearly annotation
3d0bec1 [Yanbo Liang] rename and keep code style
a8ad3e3 [Yanbo Liang] simplify code for keeping style
d454909 [Yanbo Liang] rename parameter and function names, delete unused columns, add reference
2e56282 [liangyanbo] rename r2_score() and remove unused column
43bb12b [liangyanbo] add regression metrics
[SPARK-4028][Streaming] ReceivedBlockHandler interface to abstract the functionality of storage of received data

As part of the initiative to prevent data loss on streaming driver failure, this JIRA tracks the subtask of implementing a ReceivedBlockHandler, that abstracts the functionality of storage of received data blocks. The default implementation will maintain the current behavior of storing the data into BlockManager. The optional implementation will store the data to both BlockManager as well as a write ahead log.

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes #2940 from tdas/driver-ha-rbh and squashes the following commits:

78a4aaa [Tathagata Das] Fixed bug causing test failures.
f192f47 [Tathagata Das] Fixed import order.
df5f320 [Tathagata Das] Updated code to use ReceivedBlockStoreResult as the return type for handler's storeBlock
33c30c9 [Tathagata Das] Added license, and organized imports.
2f025b3 [Tathagata Das] Updates based on PR comments.
18aec1e [Tathagata Das] Moved ReceivedBlockInfo back into spark.streaming.scheduler package
95a4987 [Tathagata Das] Added ReceivedBlockHandler and its associated tests
[SPARK-4027][Streaming] WriteAheadLogBackedBlockRDD to read received either from BlockManager or WAL in HDFS

As part of the initiative of preventing data loss on streaming driver failure, this sub-task implements a BlockRDD that is backed by HDFS. This BlockRDD can either read data from the Spark's BlockManager, or read the data from file-segments in write ahead log in HDFS.

Most of this code has been written by @harishreedharan

Author: Tathagata Das <tathagata.das1565@gmail.com>
Author: Hari Shreedharan <hshreedharan@apache.org>

Closes #2931 from tdas/driver-ha-rdd and squashes the following commits:

209e49c [Tathagata Das] Better fix to style issue.
4a5866f [Tathagata Das] Addressed one more comment.
ed5fbf0 [Tathagata Das] Minor updates.
b0a18b1 [Tathagata Das] Fixed import order.
20aa7c6 [Tathagata Das] Fixed more line length issues.
29aa099 [Tathagata Das] Fixed line length issues.
9e47b5b [Tathagata Das] Renamed class, simplified+added unit tests.
6e1bfb8 [Tathagata Das] Tweaks testuite to create spark contxt lazily to prevent contxt leaks.
9c86a61 [Tathagata Das] Merge pull request #22 from harishreedharan/driver-ha-rdd
2878c38 [Hari Shreedharan] Shutdown spark context after tests. Formatting/minor fixes
c709f2f [Tathagata Das] Merge pull request #21 from harishreedharan/driver-ha-rdd
5cce16f [Hari Shreedharan] Make sure getBlockLocations uses offset and length to find the blocks on HDFS
eadde56 [Tathagata Das] Transferred HDFSBackedBlockRDD for the driver-ha-working branch
[SPARK-4078] New FsPermission instance w/o FsPermission.createImmutable in eventlog

By default, Spark builds its package against Hadoop 1.0.4 version. In that version, it has some FsPermission bug (see [HADOOP-7629] (https://issues.apache.org/jira/browse/HADOOP-7629) by Todd Lipcon). This bug got fixed since 1.1 version. By using that FsPermission.createImmutable() API, end-user may see some RPC exception like below (if turn on eventlog over HDFS).  Here proposes a quick fix to avoid certain exception for all hadoop versions.
```
Exception in thread "main" java.io.IOException: Call to sr484/10.1.2.84:54310 failed on local exception: java.io.EOFException
        at org.apache.hadoop.ipc.Client.wrapException(Client.java:1150)
        at org.apache.hadoop.ipc.Client.call(Client.java:1118)
        at org.apache.hadoop.ipc.RPC$Invoker.invoke(RPC.java:229)
        at $Proxy6.setPermission(Unknown Source)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
        at java.lang.reflect.Method.invoke(Method.java:597)
        at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:85)
        at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:62)
        at $Proxy6.setPermission(Unknown Source)
        at org.apache.hadoop.hdfs.DFSClient.setPermission(DFSClient.java:1285)
        at org.apache.hadoop.hdfs.DistributedFileSystem.setPermission(DistributedFileSystem.java:572)
        at org.apache.spark.util.FileLogger.createLogDir(FileLogger.scala:138)
        at org.apache.spark.util.FileLogger.start(FileLogger.scala:115)
        at org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:74)
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:324)
```

Author: Grace <jie.huang@intel.com>

Closes #2892 from GraceH/eventlog-rpc and squashes the following commits:

58ea038 [Grace] new FsPermission Instance w/o FsPermission.createImmutable
[SPARK-3319] [SPARK-3338] Resolve Spark submit config paths

The bulk of this PR is comprised of tests. All changes in functionality are made in `SparkSubmit.scala` (~20 lines).

**SPARK-3319.** There is currently a divergence in behavior when the user passes in additional jars through `--jars` and through setting `spark.jars` in the default properties file. The former will happily resolve the paths (e.g. convert `my.jar` to `file:/absolute/path/to/my.jar`), while the latter does not. We should resolve paths consistently in both cases. This also applies to the following pairs of command line arguments and Spark configs:

- `--jars` ~ `spark.jars`
- `--files` ~ `spark.files` / `spark.yarn.dist.files`
- `--archives` ~ `spark.yarn.dist.archives`
- `--py-files` ~ `spark.submit.pyFiles`

**SPARK-3338.** This PR also fixes the following bug: if the user sets `spark.submit.pyFiles` in his/her properties file, it does not actually get picked up even if `--py-files` is not set. This is simply because the config is overridden by an empty string.

Author: Andrew Or <andrewor14@gmail.com>
Author: Andrew Or <andrew@databricks.com>

Closes #2232 from andrewor14/resolve-config-paths and squashes the following commits:

fff2869 [Andrew Or] Add spark.yarn.jar
da3a1c1 [Andrew Or] Merge branch 'master' of github.com:apache/spark into resolve-config-paths
f0fae64 [Andrew Or] Merge branch 'master' of github.com:apache/spark into resolve-config-paths
05e03d6 [Andrew Or] Add tests for resolving both command line and config paths
460117e [Andrew Or] Resolve config paths properly
fe039d3 [Andrew Or] Beef up tests to test fixed-pointed-ness of Utils.resolveURI(s)
[SPARK-4138][SPARK-4139] Improve dynamic allocation settings

This should be merged after #2746 (SPARK-3795).

**SPARK-4138**. If the user sets both the number of executors and `spark.dynamicAllocation.enabled`, we should throw an exception.

**SPARK-4139**. If the user sets `spark.dynamicAllocation.enabled`, we should use the max number of executors as the starting number of executors because the first job is likely to run immediately after application startup. If the latter is not set, throw an exception.

Author: Andrew Or <andrew@databricks.com>

Closes #3002 from andrewor14/yarn-set-executors and squashes the following commits:

c528fce [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-set-executors
55d4699 [Andrew Or] Bug fix: `isDynamicAllocationEnabled` was always false
2b0ccec [Andrew Or] Start the number of executors at the max
022bfde [Andrew Or] Guard against incompatible settings of number of executors
[Minor] A few typos in comments and log messages

Author: Andrew Or <andrewor14@gmail.com>
Author: Andrew Or <andrew@databricks.com>

Closes #3021 from andrewor14/typos and squashes the following commits:

daaf417 [Andrew Or] Merge branch 'master' of github.com:apache/spark into typos
4838ae4 [Andrew Or] Merge branch 'master' of github.com:apache/spark into typos
026d426 [Andrew Or] Merge branch 'master' of github.com:andrewor14/spark into typos
a81ae8f [Andrew Or] Some typos
[SPARK-4155] Consolidate usages of <driver>

We use "\<driver\>" everywhere. Let's not do that.

Author: Andrew Or <andrew@databricks.com>

Closes #3020 from andrewor14/consolidate-driver and squashes the following commits:

c1c2204 [Andrew Or] Just use "<driver>" for local executor ID
3d751e9 [Andrew Or] Consolidate usages of <driver>
Minor style hot fix after #2711

I had planned to fix this when I merged it but I forgot to. witgo

Author: Andrew Or <andrew@databricks.com>

Closes #3018 from andrewor14/command-utils-style and squashes the following commits:

c2959fb [Andrew Or] Style hot fix
[SPARK-4153][WebUI] Update the sort keys for HistoryPage

Sort "Started", "Completed", "Duration" and "Last Updated" by time.

Author: zsxwing <zsxwing@gmail.com>

Closes #3014 from zsxwing/SPARK-4153 and squashes the following commits:

ec8b9ad [zsxwing] Sort "Started", "Completed", "Duration" and "Last Updated" by time
[SPARK-3661] Respect spark.*.memory in cluster mode

This also includes minor re-organization of the code. Tested locally in both client and deploy modes.

Author: Andrew Or <andrew@databricks.com>
Author: Andrew Or <andrewor14@gmail.com>

Closes #2697 from andrewor14/memory-cluster-mode and squashes the following commits:

01d78bc [Andrew Or] Merge branch 'master' of github.com:apache/spark into memory-cluster-mode
ccd468b [Andrew Or] Add some comments per Patrick
c956577 [Andrew Or] Tweak wording
2b4afa0 [Andrew Or] Unused import
47a5a88 [Andrew Or] Correct Spark properties precedence order
bf64717 [Andrew Or] Merge branch 'master' of github.com:apache/spark into memory-cluster-mode
dd452d0 [Andrew Or] Respect spark.*.memory in cluster mode
SPARK-1209 [CORE] SparkHadoop{MapRed,MapReduce}Util should not use package org.apache.hadoop

(This is just a look at what completely moving the classes would look like. I know Patrick flagged that as maybe not OK, although, it's private?)

Author: Sean Owen <sowen@cloudera.com>

Closes #2814 from srowen/SPARK-1209 and squashes the following commits:

ead1115 [Sean Owen] Disable MIMA warnings resulting from moving the class -- this was also part of the PairRDDFunctions type hierarchy though?
2d42c1d [Sean Owen] Move SparkHadoopMapRedUtil / SparkHadoopMapReduceUtil from org.apache.hadoop to org.apache.spark
[SPARK-4120][SQL] Join of multiple tables with syntax like SELECT .. FROM T1,T2,T3.. does not work in SparkSQL

Right now it works for only 2 tables like below query.
sql("SELECT * FROM records1 as a,records2 as b where a.key=b.key ")

But it does not work for more than 2 tables like below query
sql("SELECT * FROM records1 as a,records2 as b,records3 as c where a.key=b.key and a.key=c.key").

Author: ravipesala <ravindra.pesala@huawei.com>

Closes #2987 from ravipesala/multijoin and squashes the following commits:

429b005 [ravipesala] Support multiple joins
[SPARK-3968][SQL] Use parquet-mr filter2 api

The parquet-mr project has introduced a new filter api  (https://github.com/apache/incubator-parquet-mr/pull/4), along with several fixes . It can also eliminate entire RowGroups depending on certain statistics like min/max
We can leverage that to further improve performance of queries with filters.
Also filter2 api introduces ability to create custom filters. We can create a custom filter for the optimized In clause (InSet) , so that elimination happens in the ParquetRecordReader itself

Author: Yash Datta <Yash.Datta@guavus.com>

Closes #2841 from saucam/master and squashes the following commits:

8282ba0 [Yash Datta] SPARK-3968: fix scala code style and add some more tests for filtering on optional columns
515df1c [Yash Datta] SPARK-3968: Add a test case for filter pushdown on optional column
5f4530e [Yash Datta] SPARK-3968: Fix scala code style
f304667 [Yash Datta] SPARK-3968: Using task metadata strategy for row group filtering
ec53e92 [Yash Datta] SPARK-3968: No push down should result in case we are unable to create a record filter
48163c3 [Yash Datta] SPARK-3968: Code cleanup
cc7b596 [Yash Datta] SPARK-3968: 1. Fix RowGroupFiltering not working             2. Use the serialization/deserialization from Parquet library for filter pushdown
caed851 [Yash Datta] Revert "SPARK-3968: Not pushing the filters in case of OPTIONAL columns" since filtering on optional columns is now supported in filter2 api
49703c9 [Yash Datta] SPARK-3968: Not pushing the filters in case of OPTIONAL columns
9d09741 [Yash Datta] SPARK-3968: Change parquet filter pushdown to use filter2 api of parquet-mr
Revert "SPARK-1209 [CORE] SparkHadoop{MapRed,MapReduce}Util should not use package org.apache.hadoop"

This reverts commit 68cb69daf3022e973422e496ccf827ca3806ff30.
HOTFIX: Clean up build in network module.

This is currently breaking the package build for some people (including me).

This patch does some general clean-up which also fixes the current issue.
- Uses consistent artifact naming
- Adds sbt support for this module
- Changes tests to use scalatest (fixes the original issue[1])

One thing to note, it turns out that scalatest when invoked in the
Maven build doesn't succesfully detect JUnit Java tests. This is
a long standing issue, I noticed it applies to all of our current
test suites as well. I've created SPARK-4159 to fix this.

[1] The original issue is that we need to allocate extra memory
for the tests, happens by default in our scalatest configuration.

Author: Patrick Wendell <pwendell@gmail.com>

Closes #3025 from pwendell/hotfix and squashes the following commits:

faa9053 [Patrick Wendell] HOTFIX: Clean up build in network module.
[SPARK-4124] [MLlib] [PySpark] simplify serialization in MLlib Python API

Create several helper functions to call MLlib Java API, convert the arguments to Java type and convert return value to Python object automatically, this simplify serialization in MLlib Python API very much.

After this, the MLlib Python API does not need to deal with serialization details anymore, it's easier to add new API.

cc mengxr

Author: Davies Liu <davies@databricks.com>

Closes #2995 from davies/cleanup and squashes the following commits:

8fa6ec6 [Davies Liu] address comments
16b85a0 [Davies Liu] Merge branch 'master' of github.com:apache/spark into cleanup
43743e5 [Davies Liu] bugfix
731331f [Davies Liu] simplify serialization in MLlib Python API
[SPARK-3250] Implement Gap Sampling optimization for random sampling

More efficient sampling, based on Gap Sampling optimization:
http://erikerlandson.github.io/blog/2014/09/11/faster-random-samples-with-gap-sampling/

Author: Erik Erlandson <eerlands@redhat.com>

Closes #2455 from erikerlandson/spark-3250-pr and squashes the following commits:

72496bc [Erik Erlandson] [SPARK-3250] Implement Gap Sampling optimization for random sampling
[SPARK-4108][SQL] Fixed usage of deprecated in sql/catalyst/types/datatypes

Fixed usage of deprecated in sql/catalyst/types/datatypes to have versio...n parameter

Author: Anant <anant.asty@gmail.com>

Closes #2970 from anantasty/SPARK-4108 and squashes the following commits:

e92cb01 [Anant] Fixed usage of deprecated in sql/catalyst/types/datatypes to have version parameter
[SPARK-4143] [SQL] Move inner class DeferredObjectAdapter to top level

The class DeferredObjectAdapter is the inner class of HiveGenericUdf, which may cause some overhead in closure ser/de-ser. Move it to top level.

Author: Cheng Hao <hao.cheng@intel.com>

Closes #3007 from chenghao-intel/move_deferred and squashes the following commits:

3a139b1 [Cheng Hao] Move inner class DeferredObjectAdapter to top level