Commit graph

11753 commits

Author SHA1 Message Date
Liang-Chi Hsieh d4d6d31db5 [SPARK-8463][SQL] Use DriverRegistry to load jdbc driver at writing path
JIRA: https://issues.apache.org/jira/browse/SPARK-8463

Currently, at the reading path, `DriverRegistry` is used to load needed jdbc driver at executors. However, at the writing path, we also need `DriverRegistry` to load jdbc driver.

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes #6900 from viirya/jdbc_write_driver and squashes the following commits:

16cd04b [Liang-Chi Hsieh] Use DriverRegistry to load jdbc driver at writing path.
2015-07-06 17:16:44 -07:00
animesh 09a06418de [SPARK-8072] [SQL] Better AnalysisException for writing DataFrame with identically named columns
Adding a function checkConstraints which will check for the constraints to be applied on the dataframe / dataframe schema. Function called before storing the dataframe to an external storage. Function added in the corresponding datasource API.
cc rxin marmbrus

Author: animesh <animesh@apache.spark>

This patch had conflicts when merged, resolved by
Committer: Michael Armbrust <michael@databricks.com>

Closes #7013 from animeshbaranawal/8072 and squashes the following commits:

f70dd0e [animesh] Change IO exception to Analysis Exception
fd45e1b [animesh] 8072: Fix Style Issues
a8a964f [animesh] 8072: Improving on previous commits
3cc4d2c [animesh] Fix Style Issues
1a89115 [animesh] Fix Style Issues
98b4399 [animesh] 8072 : Moved the exception handling to ResolvedDataSource specific to parquet format
7c3d928 [animesh] 8072: Adding check to DataFrameWriter.scala
2015-07-06 16:39:49 -07:00
Yin Huai 7b467cc934 [SPARK-8588] [SQL] Regression test
This PR adds regression test for https://issues.apache.org/jira/browse/SPARK-8588 (fixed by 457d07eaa0).

Author: Yin Huai <yhuai@databricks.com>

This patch had conflicts when merged, resolved by
Committer: Michael Armbrust <michael@databricks.com>

Closes #7103 from yhuai/SPARK-8588-test and squashes the following commits:

eb5f418 [Yin Huai] Add a query test.
c61a173 [Yin Huai] Regression test for SPARK-8588.
2015-07-06 16:28:47 -07:00
Yanbo Liang 0effe180f4 [SPARK-8765] [MLLIB] Fix PySpark PowerIterationClustering test issue
PySpark PowerIterationClustering test failure due to bad demo data.
If the data is small,  PowerIterationClustering will behavior indeterministic.

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #7177 from yanboliang/spark-8765 and squashes the following commits:

392ae54 [Yanbo Liang] fix model.assignments output
5ec3f1e [Yanbo Liang] fix PySpark PowerIterationClustering test issue
2015-07-06 16:15:12 -07:00
Xiangrui Meng 96c5eeec39 Revert "[SPARK-7212] [MLLIB] Add sequence learning flag"
This reverts commit 25f574eb9a. After speaking to some users and developers, we realized that FP-growth doesn't meet the requirement for frequent sequence mining. PrefixSpan (SPARK-6487) would be the correct algorithm for it. feynmanliang

Author: Xiangrui Meng <meng@databricks.com>

Closes #7240 from mengxr/SPARK-7212.revert and squashes the following commits:

2b3d66b [Xiangrui Meng] Revert "[SPARK-7212] [MLLIB] Add sequence learning flag"
2015-07-06 16:11:22 -07:00
Ankur Chauhan 1165b17d24 [SPARK-6707] [CORE] [MESOS] Mesos Scheduler should allow the user to specify constraints based on slave attributes
Currently, the mesos scheduler only looks at the 'cpu' and 'mem' resources when trying to determine the usablility of a resource offer from a mesos slave node. It may be preferable for the user to be able to ensure that the spark jobs are only started on a certain set of nodes (based on attributes).

For example, If the user sets a property, let's say `spark.mesos.constraints` is set to `tachyon=true;us-east-1=false`, then the resource offers will be checked to see if they meet both these constraints and only then will be accepted to start new executors.

Author: Ankur Chauhan <achauhan@brightcove.com>

Closes #5563 from ankurcha/mesos_attribs and squashes the following commits:

902535b [Ankur Chauhan] Fix line length
d83801c [Ankur Chauhan] Update code as per code review comments
8b73f2d [Ankur Chauhan] Fix imports
c3523e7 [Ankur Chauhan] Added docs
1a24d0b [Ankur Chauhan] Expand scope of attributes matching to include all data types
482fd71 [Ankur Chauhan] Update access modifier to private[this] for offer constraints
5ccc32d [Ankur Chauhan] Fix nit pick whitespace
1bce782 [Ankur Chauhan] Fix nit pick whitespace
c0cbc75 [Ankur Chauhan] Use offer id value for debug message
7fee0ea [Ankur Chauhan] Add debug statements
fc7eb5b [Ankur Chauhan] Fix import codestyle
00be252 [Ankur Chauhan] Style changes as per code review comments
662535f [Ankur Chauhan] Incorporate code review comments + use SparkFunSuite
fdc0937 [Ankur Chauhan] Decline offers that did not meet criteria
67b58a0 [Ankur Chauhan] Add documentation for spark.mesos.constraints
63f53f4 [Ankur Chauhan] Update codestyle - uniform style for config values
02031e4 [Ankur Chauhan] Fix scalastyle warnings in tests
c09ed84 [Ankur Chauhan] Fixed the access modifier on offerConstraints val to private[mesos]
0c64df6 [Ankur Chauhan] Rename overhead fractions to memory_*, fix spacing
8cc1e8f [Ankur Chauhan] Make exception message more explicit about the source of the error
addedba [Ankur Chauhan] Added test case for malformed constraint string
ec9d9a6 [Ankur Chauhan] Add tests for parse constraint string
72fe88a [Ankur Chauhan] Fix up tests + remove redundant method override, combine utility class into new mesos scheduler util trait
92b47fd [Ankur Chauhan] Add attributes based constraints support to MesosScheduler
2015-07-06 16:04:57 -07:00
Wisely Chen 9ff203346c [SPARK-8656] [WEBUI] Fix the webUI and JSON API number is not synced
Spark standalone master web UI show "Alive Workers" total core, total used cores and "Alive workers" total memory, memory used.
But the JSON API page "http://MASTERURL:8088/json" shows "ALL workers"  core, memory number.
This webUI data is not sync with the JSON API.
The proper way is to sync the number with webUI and JSON API.

Author: Wisely Chen <wiselychen@appier.com>

Closes #7038 from thegiive/SPARK-8656 and squashes the following commits:

9e54bf0 [Wisely Chen] Change variable name to camel case
2c8ea89 [Wisely Chen] Change some styling and add local variable
431d2b0 [Wisely Chen] Worker List should contain DEAD node also
8b3b8e8 [Wisely Chen] [SPARK-8656] Fix the webUI and JSON API number is not synced
2015-07-06 16:04:01 -07:00
Daoyuan Wang 132e7fca12 [MINOR] [SQL] remove unused code in Exchange
Author: Daoyuan Wang <daoyuan.wang@intel.com>

Closes #7234 from adrian-wang/exchangeclean and squashes the following commits:

b093ec9 [Daoyuan Wang] remove unused code
2015-07-06 15:54:43 -07:00
kai 2471c0bf7f [SPARK-4485] [SQL] 1) Add broadcast hash outer join, (2) Fix SparkPlanTest
This pull request
(1) extracts common functions used by hash outer joins and put it in interface HashOuterJoin
(2) adds ShuffledHashOuterJoin and BroadcastHashOuterJoin
(3) adds test cases for shuffled and broadcast hash outer join
(3) makes SparkPlanTest to support binary or more complex operators, and fixes bugs in plan composition in SparkPlanTest

Author: kai <kaizeng@eecs.berkeley.edu>

Closes #7162 from kai-zeng/outer and squashes the following commits:

3742359 [kai] Fix not-serializable exception for code-generated keys in broadcasted relations
14e4bf8 [kai] Use CanBroadcast in broadcast outer join planning
dc5127e [kai] code style fixes
b5a4efa [kai] (1) Add broadcast hash outer join, (2) Fix SparkPlanTest
2015-07-06 14:33:30 -07:00
Davies Liu 37e4d92142 [SPARK-8784] [SQL] Add Python API for hex and unhex
Add Python API for hex/unhex,  also cleanup Hex/Unhex

Author: Davies Liu <davies@databricks.com>

Closes #7223 from davies/hex and squashes the following commits:

6f1249d [Davies Liu] no explicit rule to cast string into binary
711a6ed [Davies Liu] fix test
f9fe5a3 [Davies Liu] Merge branch 'master' of github.com:apache/spark into hex
f032fbb [Davies Liu] Merge branch 'hex' of github.com:davies/spark into hex
49e325f [Davies Liu] Merge branch 'master' of github.com:apache/spark into hex
b31fc9a [Davies Liu] Update math.scala
25156b7 [Davies Liu] address comments and fix test
c3af78c [Davies Liu] address commments
1a24082 [Davies Liu] Add Python API for hex and unhex
2015-07-06 13:31:31 -07:00
Dirceu Semighini Filho 57c72fcce7 Small update in the readme file
Just change the attribute from -PsparkR to -Psparkr

Author: Dirceu Semighini Filho <dirceu.semighini@gmail.com>

Closes #7242 from dirceusemighini/patch-1 and squashes the following commits:

fad5991 [Dirceu Semighini Filho] Small update in the readme file
2015-07-06 13:28:07 -07:00
Wenchen Fan 0e194645f4 [SPARK-8837][SPARK-7114][SQL] support using keyword in column name
Author: Wenchen Fan <cloud0fan@outlook.com>

Closes #7237 from cloud-fan/parser and squashes the following commits:

e7b49bb [Wenchen Fan] support using keyword in column name
2015-07-06 13:26:46 -07:00
Daniel Emaasit (PhD Student) 293225e0cd [SPARK-8124] [SPARKR] Created more examples on SparkR DataFrames
Here are more examples on SparkR DataFrames including creating a Spark Contect and a SQL
context, loading data and simple data manipulation.

Author: Daniel Emaasit (PhD Student) <daniel.emaasit@gmail.com>

Closes #6668 from Emaasit/dan-dev and squashes the following commits:

3a97867 [Daniel Emaasit (PhD Student)] Used fewer rows for createDataFrame
f7227f9 [Daniel Emaasit (PhD Student)] Using command line arguments
a550f70 [Daniel Emaasit (PhD Student)] Used base R functions
33f9882 [Daniel Emaasit (PhD Student)] Renamed file
b6603e3 [Daniel Emaasit (PhD Student)] changed "Describe" function to "describe"
90565dd [Daniel Emaasit (PhD Student)] Deleted the getting-started file
b95a103 [Daniel Emaasit (PhD Student)] Deleted this file
cc55cd8 [Daniel Emaasit (PhD Student)] combined all the code into one .R file
c6933af [Daniel Emaasit (PhD Student)] changed variable name to SQLContext
8e0fe14 [Daniel Emaasit (PhD Student)] provided two options for creating DataFrames
2653573 [Daniel Emaasit (PhD Student)] Updates to a comment and variable name
275b787 [Daniel Emaasit (PhD Student)] Added the Apache License at the top of the file
2e8f724 [Daniel Emaasit (PhD Student)] Added the Apache License at the top of the file
486f44e [Daniel Emaasit (PhD Student)] Added the Apache License at the file
d705112 [Daniel Emaasit (PhD Student)] Created more examples on SparkR DataFrames
2015-07-06 11:08:36 -07:00
Steve Lindemann 39e4e7e4d8 [SPARK-8841] [SQL] Fix partition pruning percentage log message
When pruning partitions for a query plan, a message is logged indicating what how many partitions were selected based on predicate criteria, and what percent were pruned.

The current release erroneously uses `1 - total/selected` to compute this quantity, leading to nonsense messages like "pruned -1000% partitions". The fix is simple and obvious.

Author: Steve Lindemann <steve.lindemann@engineersgatelp.com>

Closes #7227 from srlindemann/master and squashes the following commits:

c788061 [Steve Lindemann] fix percentPruned log message
2015-07-06 10:17:05 -07:00
Reynold Xin 86768b7b3b [SPARK-8831][SQL] Support AbstractDataType in TypeCollection.
Otherwise it is impossible to declare an expression supporting DecimalType.

Author: Reynold Xin <rxin@databricks.com>

Closes #7232 from rxin/typecollection-adt and squashes the following commits:

934d3d1 [Reynold Xin] [SPARK-8831][SQL] Support AbstractDataType in TypeCollection.
2015-07-05 23:54:25 -07:00
Cheng Hao 6d0411b4f3 [SQL][Minor] Update the DataFrame API for encode/decode
This is a the follow up of #6843.

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

Closes #7230 from chenghao-intel/str_funcs2_followup and squashes the following commits:

52cc553 [Cheng Hao] update the code as comment
2015-07-05 21:50:52 -07:00
Yu ISHIKAWA a0cb111b22 [SPARK-8549] [SPARKR] Fix the line length of SparkR
[[SPARK-8549] Fix the line length of SparkR - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-8549)

Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>

Closes #7204 from yu-iskw/SPARK-8549 and squashes the following commits:

6fb131a [Yu ISHIKAWA] Fix the typo
1737598 [Yu ISHIKAWA] [SPARK-8549][SparkR] Fix the line length of SparkR
2015-07-05 20:50:02 -07:00
Joshi f9c448dce8 [SPARK-7137] [ML] Update SchemaUtils checkInputColumn to print more info if needed
Author: Joshi <rekhajoshm@gmail.com>
Author: Rekha Joshi <rekhajoshm@gmail.com>

Closes #5992 from rekhajoshm/fix/SPARK-7137 and squashes the following commits:

8c42b57 [Joshi] update checkInputColumn to print more info if needed
33ddd2e [Joshi] update checkInputColumn to print more info if needed
acf3e17 [Joshi] update checkInputColumn to print more info if needed
8993c0e [Joshi] SPARK-7137: Add checkInputColumn back to Params and print more info
e3677c9 [Rekha Joshi] Merge pull request #1 from apache/master
2015-07-05 12:58:03 -07:00
Liang-Chi Hsieh 2b820f2a4b [MINOR] [SQL] Minor fix for CatalystSchemaConverter
ping liancheng

Author: Liang-Chi Hsieh <viirya@gmail.com>

Closes #7224 from viirya/few_fix_catalystschema and squashes the following commits:

d994330 [Liang-Chi Hsieh] Minor fix for CatalystSchemaConverter.
2015-07-04 22:52:50 -07:00
Reynold Xin c991ef5abb [SPARK-8822][SQL] clean up type checking in math.scala.
Author: Reynold Xin <rxin@databricks.com>

Closes #7220 from rxin/SPARK-8822 and squashes the following commits:

0cda076 [Reynold Xin] Test cases.
22d0463 [Reynold Xin] Fixed type precedence.
beb2a97 [Reynold Xin] [SPARK-8822][SQL] clean up type checking in math.scala.
2015-07-04 11:55:20 -07:00
Reynold Xin 347cab85cd [SQL] More unit tests for implicit type cast & add simpleString to AbstractDataType.
Author: Reynold Xin <rxin@databricks.com>

Closes #7221 from rxin/implicit-cast-tests and squashes the following commits:

64b13bd [Reynold Xin] Fixed a bug ..
489b732 [Reynold Xin] [SQL] More unit tests for implicit type cast & add simpleString to AbstractDataType.
2015-07-04 11:55:04 -07:00
Reynold Xin 48f7aed686 Fixed minor style issue with the previous merge. 2015-07-04 01:11:35 -07:00
Tarek Auel 6b3574e687 [SPARK-8270][SQL] levenshtein distance
Jira: https://issues.apache.org/jira/browse/SPARK-8270

Info: I can not build the latest master, it stucks during the build process: `[INFO] Dependency-reduced POM written at: /Users/tarek/test/spark/bagel/dependency-reduced-pom.xml`

Author: Tarek Auel <tarek.auel@googlemail.com>

Closes #7214 from tarekauel/SPARK-8270 and squashes the following commits:

ab348b9 [Tarek Auel] Merge branch 'master' into SPARK-8270
a2ad318 [Tarek Auel] [SPARK-8270] changed order of fields
d91b12c [Tarek Auel] [SPARK-8270] python fix
adbd075 [Tarek Auel] [SPARK-8270] fixed typo
23185c9 [Tarek Auel] [SPARK-8270] levenshtein distance
2015-07-04 01:10:52 -07:00
Cheng Hao f35b0c3436 [SPARK-8238][SPARK-8239][SPARK-8242][SPARK-8243][SPARK-8268][SQL]Add ascii/base64/unbase64/encode/decode functions
Add `ascii`,`base64`,`unbase64`,`encode` and `decode` expressions.

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

Closes #6843 from chenghao-intel/str_funcs2 and squashes the following commits:

78dee7d [Cheng Hao] base 64 -> base64
9d6f9f4 [Cheng Hao] remove the toString method for expressions
ed5c19c [Cheng Hao] update code as comments
96170fc [Cheng Hao] scalastyle issues
e2df768 [Cheng Hao] remove the unused import
491ce7b [Cheng Hao] add ascii/base64/unbase64/encode/decode functions
2015-07-03 23:45:21 -07:00
Josh Rosen f32487b7ca [SPARK-8777] [SQL] Add random data generator test utilities to Spark SQL
This commit adds a set of random data generation utilities to Spark SQL, for use in its own unit tests.

- `RandomDataGenerator.forType(DataType)` returns an `Option[() => Any]` that, if defined, contains a function for generating random values for the given DataType.  The random values use the external representations for the given DataType (for example, for DateType we return `java.sql.Date` instances instead of longs).
- `DateTypeTestUtilities` defines some convenience fields for looping over instances of data types.  For example, `numericTypes` holds `DataType` instances for all supported numeric types.  These constants will help us to raise the level of abstraction in our tests.  For example, it's now very easy to write a test which is parameterized by all common data types.

Author: Josh Rosen <joshrosen@databricks.com>

Closes #7176 from JoshRosen/sql-random-data-generators and squashes the following commits:

f71634d [Josh Rosen] Roll back ScalaCheck usage
e0d7d49 [Josh Rosen] Bump ScalaCheck version in LICENSE
89d86b1 [Josh Rosen] Bump ScalaCheck version.
0c20905 [Josh Rosen] Initial attempt at using ScalaCheck.
b55875a [Josh Rosen] Generate doubles and floats over entire possible range.
5acdd5c [Josh Rosen] Infinity and NaN are interesting.
ab76cbd [Josh Rosen] Move code to Catalyst package.
d2b4a4a [Josh Rosen] Add random data generator test utilities to Spark SQL.
2015-07-03 23:05:17 -07:00
Daoyuan Wang 9fb6b832bc [SPARK-8192] [SPARK-8193] [SQL] udf current_date, current_timestamp
Author: Daoyuan Wang <daoyuan.wang@intel.com>

Closes #6985 from adrian-wang/udfcurrent and squashes the following commits:

6a20b64 [Daoyuan Wang] remove codegen and add lazy in testsuite
27c9f95 [Daoyuan Wang] refine tests..
e11ae75 [Daoyuan Wang] refine tests
61ed3d5 [Daoyuan Wang] add in functions
98e8550 [Daoyuan Wang] fix sytle
427d9dc [Daoyuan Wang] add tests and codegen
0b69a1f [Daoyuan Wang] udf current
2015-07-03 22:19:43 -07:00
Cheolsoo Park 4a22bce8fc [SPARK-8572] [SQL] Type coercion for ScalaUDFs
Implemented type coercion for udf arguments in Scala. The changes include-
* Add `with ExpectsInputTypes ` to `ScalaUDF` class.
* Pass down argument types info from `UDFRegistration` and `functions`.

With this patch, the example query in [SPARK-8572](https://issues.apache.org/jira/browse/SPARK-8572) no longer throws a type cast error at runtime.

Also added a unit test to `UDFSuite` in which a decimal type is passed to a udf that expects an int.

Author: Cheolsoo Park <cheolsoop@netflix.com>

Closes #7203 from piaozhexiu/SPARK-8572 and squashes the following commits:

2d0ed15 [Cheolsoo Park] Incorporate comments
dce1efd [Cheolsoo Park] Fix unit tests and update the codegen script
066deed [Cheolsoo Park] Type coercion for udf inputs
2015-07-03 22:14:21 -07:00
Spiro Michaylov e92c24d37c [SPARK-8810] [SQL] Added several UDF unit tests for Spark SQL
One test for each of the GROUP BY, WHERE and HAVING clauses, and one that combines all three with an additional UDF in the SELECT.

(Since this is my first attempt at contributing to SPARK, meta-level guidance on anything I've screwed up would be greatly appreciated, whether important or minor.)

Author: Spiro Michaylov <spiro@michaylov.com>

Closes #7207 from spirom/udf-test-branch and squashes the following commits:

6bbba9e [Spiro Michaylov] Responded to review comments on UDF unit tests
1a3c5ff [Spiro Michaylov] Added several UDF unit tests for Spark SQL
2015-07-03 20:15:58 -07:00
MechCoder f0fac2aa80 [SPARK-7401] [MLLIB] [PYSPARK] Vectorize dot product and sq_dist between SparseVector and DenseVector
Currently we iterate over indices which can be vectorized.

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #5946 from MechCoder/spark-7203 and squashes the following commits:

034d086 [MechCoder] Vectorize dot calculation for numpy arrays for ndim=2
bce2b07 [MechCoder] fix doctest
fcad0a3 [MechCoder] Remove type checks for list, pyarray etc
0ee5dd4 [MechCoder] Add tests and other isinstance changes
e5f1de0 [MechCoder] [SPARK-7401] Vectorize dot product and sq_dist
2015-07-03 15:49:32 -07:00
zhichao.li ab535b9a1d [SPARK-8226] [SQL] Add function shiftrightunsigned
Author: zhichao.li <zhichao.li@intel.com>

Closes #7035 from zhichao-li/shiftRightUnsigned and squashes the following commits:

6bcca5a [zhichao.li] change coding style
3e9f5ae [zhichao.li] python style
d85ae0b [zhichao.li] add shiftrightunsigned
2015-07-03 15:39:16 -07:00
Reynold Xin 2848f4da47 [SPARK-8809][SQL] Remove ConvertNaNs analyzer rule.
"NaN" from string to double is already handled by Cast expression itself.

Author: Reynold Xin <rxin@databricks.com>

Closes #7206 from rxin/convertnans and squashes the following commits:

3d99c33 [Reynold Xin] [SPARK-8809][SQL] Remove ConvertNaNs analyzer rule.
2015-07-03 00:25:02 -07:00
Burak Yavuz 9b23e92c72 [SPARK-8803] handle special characters in elements in crosstab
cc rxin

Having back ticks or null as elements causes problems.
Since elements become column names, we have to drop them from the element as back ticks are special characters.
Having null throws exceptions, we could replace them with empty strings.

Handling back ticks should be improved for 1.5

Author: Burak Yavuz <brkyvz@gmail.com>

Closes #7201 from brkyvz/weird-ct-elements and squashes the following commits:

e06b840 [Burak Yavuz] fix scalastyle
93a0d3f [Burak Yavuz] added tests for NaN and Infinity
9dba6ce [Burak Yavuz] address cr1
db71dbd [Burak Yavuz] handle special characters in elements in crosstab
2015-07-02 22:10:24 -07:00
Yin Huai f743c79abe [SPARK-8776] Increase the default MaxPermSize
I am increasing the perm gen size to 256m.

https://issues.apache.org/jira/browse/SPARK-8776

Author: Yin Huai <yhuai@databricks.com>

Closes #7196 from yhuai/SPARK-8776 and squashes the following commits:

60901b4 [Yin Huai] Fix test.
d44b713 [Yin Huai] Make sparkShell and hiveConsole use 256m PermGen size.
30aaf8e [Yin Huai] Increase the default PermGen size to 256m.
2015-07-02 22:09:07 -07:00
Reynold Xin a59d14f623 [SPARK-8801][SQL] Support TypeCollection in ExpectsInputTypes
This patch adds a new TypeCollection AbstractDataType that can be used by expressions to specify more than one expected input types.

Author: Reynold Xin <rxin@databricks.com>

Closes #7202 from rxin/type-collection and squashes the following commits:

c714ca1 [Reynold Xin] Fixed style.
a0c0d12 [Reynold Xin] Fixed bugs and unit tests.
d8b8ae7 [Reynold Xin] Added TypeCollection.
2015-07-02 21:45:25 -07:00
Cheng Lian 20a4d7dbd1 [SPARK-8501] [SQL] Avoids reading schema from empty ORC files
ORC writes empty schema (`struct<>`) to ORC files containing zero rows.  This is OK for Hive since the table schema is managed by the metastore. But it causes trouble when reading raw ORC files via Spark SQL since we have to discover the schema from the files.

Notice that the ORC data source always avoids writing empty ORC files, but it's still problematic when reading Hive tables which contain empty part-files.

Author: Cheng Lian <lian@databricks.com>

Closes #7199 from liancheng/spark-8501 and squashes the following commits:

bb8cd95 [Cheng Lian] Addresses comments
a290221 [Cheng Lian] Avoids reading schema from empty ORC files
2015-07-02 21:30:57 -07:00
Reynold Xin dfd8bac8f5 Minor style fix for the previous commit. 2015-07-02 20:47:04 -07:00
zhichao.li 1a7a7d7d57 [SPARK-8213][SQL]Add function factorial
Author: zhichao.li <zhichao.li@intel.com>

Closes #6822 from zhichao-li/factorial and squashes the following commits:

26edf4f [zhichao.li] add factorial
2015-07-02 20:37:31 -07:00
Bryan Cutler aa7bbc1438 [SPARK-6980] [CORE] Akka timeout exceptions indicate which conf controls them (RPC Layer)
Latest changes after refactoring to the RPC layer.  I rebased against trunk to make sure to get any recent changes since it had been a while.  I wasn't crazy about the name `ConfigureTimeout` and `RpcTimeout` seemed to fit better, but I'm open to suggestions!

I ran most of the tests and they pass, but others would get stuck with "WARN TaskSchedulerImpl: Initial job has not accepted any resources".  I think its just my machine, so I'd though I would push what I have anyway.

Still left to do:
* I only added a couple unit tests so far, there are probably some more cases to test
* Make sure all uses require a `RpcTimeout`
* Right now, both the `ask` and `Await.result` use the same timeout, should we differentiate between these in the TimeoutException message?
* I wrapped `Await.result` in `RpcTimeout`, should we also wrap `Await.ready`?
* Proper scoping of classes and methods

hardmettle, feel free to help out with any of these!

Author: Bryan Cutler <bjcutler@us.ibm.com>
Author: Harsh Gupta <harsh@Harshs-MacBook-Pro.local>
Author: BryanCutler <cutlerb@gmail.com>

Closes #6205 from BryanCutler/configTimeout-6980 and squashes the following commits:

46c8d48 [Bryan Cutler] [SPARK-6980] Changed RpcEnvSuite test to never reply instead of just sleeping, to avoid possible sync issues
06afa53 [Bryan Cutler] [SPARK-6980] RpcTimeout class extends Serializable, was causing error in MasterSuite
7bb70f1 [Bryan Cutler] Merge branch 'master' into configTimeout-6980
dbd5f73 [Bryan Cutler] [SPARK-6980] Changed RpcUtils askRpcTimeout and lookupRpcTimeout scope to private[spark] and improved deprecation warning msg
4e89c75 [Bryan Cutler] [SPARK-6980] Missed one usage of deprecated RpcUtils.askTimeout in YarnSchedulerBackend although it is not being used, and fixed SparkConfSuite UT to not use deprecated RpcUtils functions
6a1c50d [Bryan Cutler] [SPARK-6980] Minor cleanup of test case
7f4d78e [Bryan Cutler] [SPARK-6980] Fixed scala style checks
287059a [Bryan Cutler] [SPARK-6980] Removed extra import in AkkaRpcEnvSuite
3d8b1ff [Bryan Cutler] [SPARK-6980] Cleaned up imports in AkkaRpcEnvSuite
3a168c7 [Bryan Cutler] [SPARK-6980] Rewrote Akka RpcTimeout UTs in RpcEnvSuite
7636189 [Bryan Cutler] [SPARK-6980] Fixed call to askWithReply in DAGScheduler to use RpcTimeout - this was being compiled by auto-tupling and changing the message type of BlockManagerHeartbeat
be11c4e [Bryan Cutler] Merge branch 'master' into configTimeout-6980
039afed [Bryan Cutler] [SPARK-6980] Corrected import organization
218aa50 [Bryan Cutler] [SPARK-6980] Corrected issues from feedback
fadaf6f [Bryan Cutler] [SPARK-6980] Put back in deprecated RpcUtils askTimeout and lookupTimout to fix MiMa errors
fa6ed82 [Bryan Cutler] [SPARK-6980] Had to increase timeout on positive test case because a processor slowdown could trigger an Future TimeoutException
b05d449 [Bryan Cutler] [SPARK-6980] Changed constructor to use val duration instead of getter function, changed name of string property from conf to timeoutProp for consistency
c6cfd33 [Bryan Cutler] [SPARK-6980] Changed UT ask message timeout to explicitly intercept a SparkException
1394de6 [Bryan Cutler] [SPARK-6980] Moved MessagePrefix to createRpcTimeoutException directly
1517721 [Bryan Cutler] [SPARK-6980] RpcTimeout object scope should be private[spark]
2206b4d [Bryan Cutler] [SPARK-6980] Added unit test for ask then immediat awaitReply
1b9beab [Bryan Cutler] [SPARK-6980] Cleaned up import ordering
08f5afc [Bryan Cutler] [SPARK-6980] Added UT for constructing RpcTimeout with default value
d3754d1 [Bryan Cutler] [SPARK-6980] Added akkaConf to prevent dead letter logging
995d196 [Bryan Cutler] [SPARK-6980] Cleaned up import ordering, comments, spacing from PR feedback
7774d56 [Bryan Cutler] [SPARK-6980] Cleaned up UT imports
4351c48 [Bryan Cutler] [SPARK-6980] Added UT for addMessageIfTimeout, cleaned up UTs
1607a5f [Bryan Cutler] [SPARK-6980] Changed addMessageIfTimeout to PartialFunction, cleanup from PR comments
2f94095 [Bryan Cutler] [SPARK-6980] Added addMessageIfTimeout for when a Future is completed with TimeoutException
235919b [Bryan Cutler] [SPARK-6980] Resolved conflicts after master merge
c07d05c [Bryan Cutler] Merge branch 'master' into configTimeout-6980-tmp
b7fb99f [BryanCutler] Merge pull request #2 from hardmettle/configTimeoutUpdates_6980
4be3a8d [Harsh Gupta] Modifying loop condition to find property match
0ee5642 [Harsh Gupta] Changing the loop condition to halt at the first match in the property list for RpcEnv exception catch
f74064d [Harsh Gupta] Retrieving properties from property list using iterator and while loop instead of chained functions
a294569 [Bryan Cutler] [SPARK-6980] Added creation of RpcTimeout with Seq of property keys
23d2f26 [Bryan Cutler] [SPARK-6980] Fixed await result not being handled by RpcTimeout
49f9f04 [Bryan Cutler] [SPARK-6980] Minor cleanup and scala style fix
5b59a44 [Bryan Cutler] [SPARK-6980] Added some RpcTimeout unit tests
78a2c0a [Bryan Cutler] [SPARK-6980] Using RpcTimeout.awaitResult for future in AppClient now
97523e0 [Bryan Cutler] [SPARK-6980] Akka ask timeout description refactored to RPC layer
2015-07-02 21:38:21 -05:00
Josh Rosen d9838196ff [SPARK-8782] [SQL] Fix code generation for ORDER BY NULL
This fixes code generation for queries containing `ORDER BY NULL`.  Previously, the generated code would fail to compile.

Author: Josh Rosen <joshrosen@databricks.com>

Closes #7179 from JoshRosen/generate-order-fixes and squashes the following commits:

6ef49a6 [Josh Rosen] Fix ORDER BY NULL
0036696 [Josh Rosen] Add regression test for SPARK-8782 (ORDER BY NULL)
2015-07-02 18:07:09 -07:00
Reynold Xin e589e71a29 Revert "[SPARK-8784] [SQL] Add Python API for hex and unhex"
This reverts commit fc7aebd94a.
2015-07-02 16:25:10 -07:00
Yu ISHIKAWA 488bad319a [SPARK-7104] [MLLIB] Support model save/load in Python's Word2Vec
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>

Closes #6821 from yu-iskw/SPARK-7104 and squashes the following commits:

975136b [Yu ISHIKAWA] Organize import
0ef58b6 [Yu ISHIKAWA] Use rmtree, instead of removedirs
cb21653 [Yu ISHIKAWA] Add an explicit type for `Word2VecModelWrapper.save`
1d468ef [Yu ISHIKAWA] [SPARK-7104][MLlib] Support model save/load in Python's Word2Vec
2015-07-02 15:55:16 -07:00
Davies Liu fc7aebd94a [SPARK-8784] [SQL] Add Python API for hex and unhex
Also improve the performance of hex/unhex

Author: Davies Liu <davies@databricks.com>

Closes #7181 from davies/hex and squashes the following commits:

f032fbb [Davies Liu] Merge branch 'hex' of github.com:davies/spark into hex
49e325f [Davies Liu] Merge branch 'master' of github.com:apache/spark into hex
b31fc9a [Davies Liu] Update math.scala
25156b7 [Davies Liu] address comments and fix test
c3af78c [Davies Liu] address commments
1a24082 [Davies Liu] Add Python API for hex and unhex
2015-07-02 15:43:02 -07:00
lewuathe 7d9cc9673e [SPARK-3382] [MLLIB] GradientDescent convergence tolerance
GrandientDescent can receive convergence tolerance value. Default value is 0.0.
When loss value becomes less than the tolerance which is set by user, iteration is terminated.

Author: lewuathe <lewuathe@me.com>

Closes #3636 from Lewuathe/gd-convergence-tolerance and squashes the following commits:

0b8a9a8 [lewuathe] Update doc
ce91b15 [lewuathe] Merge branch 'master' into gd-convergence-tolerance
4f22c2b [lewuathe] Modify based on SPARK-1503
5e47b82 [lewuathe] Merge branch 'master' into gd-convergence-tolerance
abadb7e [lewuathe] Fix LassoSuite
8fadebd [lewuathe] Fix failed unit tests
ee5de46 [lewuathe] Merge branch 'master' into gd-convergence-tolerance
8313ba2 [lewuathe] Fix styles
0ead94c [lewuathe] Merge branch 'master' into gd-convergence-tolerance
a94cfd5 [lewuathe] Modify some styles
3aef0a2 [lewuathe] Modify converged logic to do relative comparison
f7b19d5 [lewuathe] [SPARK-3382] Clarify comparison logic
e6c9cd2 [lewuathe] [SPARK-3382] Compare with the diff of solution vector
4b125d2 [lewuathe] [SPARK3382] Fix scala style
e7c10dd [lewuathe] [SPARK-3382] format improvements
f867eea [lewuathe] [SPARK-3382] Modify warning message statements
b9d5e61 [lewuathe] [SPARK-3382] should compare diff inside loss history and convergence tolerance
5433f71 [lewuathe] [SPARK-3382] GradientDescent convergence tolerance
2015-07-02 15:00:13 -07:00
Reynold Xin 52508beb65 [SPARK-8772][SQL] Implement implicit type cast for expressions that define input types.
Author: Reynold Xin <rxin@databricks.com>

Closes #7175 from rxin/implicitCast and squashes the following commits:

88080a2 [Reynold Xin] Clearer definition of implicit type cast.
f0ff97f [Reynold Xin] Added missing file.
c65e532 [Reynold Xin] [SPARK-8772][SQL] Implement implicit type cast for expressions that defines input types.
2015-07-02 14:16:14 -07:00
Andrew Or cd20355078 [SPARK-7835] Refactor HeartbeatReceiverSuite for coverage + cleanup
The existing test suite has a lot of duplicate code and doesn't even cover the most fundamental feature of the HeartbeatReceiver, which is expiring hosts that have not responded in a while.

This introduces manual clocks in `HeartbeatReceiver` and makes it respond to heartbeats only for registered executors. A few internal messages are moved to `receiveAndReply` to increase determinism of the tests so we don't have to rely on flaky constructs like `eventually`.

Author: Andrew Or <andrew@databricks.com>

Closes #7173 from andrewor14/heartbeat-receiver-tests and squashes the following commits:

4a903d6 [Andrew Or] Increase HeartReceiverSuite coverage and clean up
2015-07-02 13:59:56 -07:00
Deron Eriksson fcbcba66c9 [SPARK-1564] [DOCS] Added Javascript to Javadocs to create badges for tags like :: Experimental ::
Modified copy_api_dirs.rb and created api-javadocs.js and api-javadocs.css files in order to add badges to javadoc files for :: Experimental ::, :: DeveloperApi ::, and :: AlphaComponent :: tags

Author: Deron Eriksson <deron@us.ibm.com>

Closes #7169 from deroneriksson/SPARK-1564_JavaDocs_badges and squashes the following commits:

a8353db [Deron Eriksson] added license headers to api-docs.css and api-javadocs.css
07feb07 [Deron Eriksson] added linebreaks to make jquery more readable when adding html badge tags
65b4930 [Deron Eriksson] Modified copy_api_dirs.rb and created api-javadocs.js and api-javadocs.css files in order to add badges to javadoc files for :: Experimental ::, :: DeveloperApi ::, and :: AlphaComponent :: tags
2015-07-02 13:55:53 -07:00
Andrew Or 82cf3315e6 [SPARK-8781] Fix variables in published pom.xml are not resolved
The issue is summarized in the JIRA and is caused by this commit: 984ad60147.

This patch reverts that commit and fixes the maven build in a different way. We limit the dependencies of `KinesisReceiverSuite` to avoid having to deal with the complexities in how maven deals with transitive test dependencies.

Author: Andrew Or <andrew@databricks.com>

Closes #7193 from andrewor14/fix-kinesis-pom and squashes the following commits:

ca3d5d4 [Andrew Or] Limit kinesis test dependencies
f24e09c [Andrew Or] Revert "[BUILD] Fix Maven build for Kinesis"
2015-07-02 13:49:45 -07:00
MechCoder 34d448dbe1 [SPARK-8479] [MLLIB] Add numNonzeros and numActives to linalg.Matrices
Matrices allow zeros to be stored in values. Sometimes a method is handy to check if the numNonZeros are same as number of Active values.

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #6904 from MechCoder/nnz_matrix and squashes the following commits:

252c6b7 [MechCoder] Add to MiMa excludes
e2390f5 [MechCoder] Use count instead of foreach
2f62b2f [MechCoder] Add to MiMa excludes
d6e96ef [MechCoder] [SPARK-8479] Add numNonzeros and numActives to linalg.Matrices
2015-07-02 11:28:14 -07:00
Andrew Or 2e2f32603c [SPARK-8581] [SPARK-8584] Simplify checkpointing code + better error message
This patch rewrites the old checkpointing code in a way that is easier to understand. It also adds a guard against an invalid specification of checkpoint directory to provide a clearer error message. Most of the changes here are relatively minor.

Author: Andrew Or <andrew@databricks.com>

Closes #6968 from andrewor14/checkpoint-cleanup and squashes the following commits:

4ef8263 [Andrew Or] Use global synchronized instead
6f6fd84 [Andrew Or] Merge branch 'master' of github.com:apache/spark into checkpoint-cleanup
b1437ad [Andrew Or] Warn instead of throw
5484293 [Andrew Or] Merge branch 'master' of github.com:apache/spark into checkpoint-cleanup
7fb4af5 [Andrew Or] Guard against bad settings of checkpoint directory
691da98 [Andrew Or] Simplify checkpoint code / code style / comments
2015-07-02 10:57:02 -07:00
Liang-Chi Hsieh 0e553a3e93 [SPARK-8708] [MLLIB] Paritition ALS ratings based on both users and products
JIRA: https://issues.apache.org/jira/browse/SPARK-8708

Previously the partitions of ratings are only based on the given products. So if the `usersProducts` given for prediction contains only few products or even one product, the generated ratings will be pushed into few or single partition and can't use high parallelism.

The following codes are the example reported in the JIRA. Because it asks the predictions for users on product 2. There is only one partition in the result.

    >>> r1 = (1, 1, 1.0)
    >>> r2 = (1, 2, 2.0)
    >>> r3 = (2, 1, 2.0)
    >>> r4 = (2, 2, 2.0)
    >>> r5 = (3, 1, 1.0)
    >>> ratings = sc.parallelize([r1, r2, r3, r4, r5], 5)
    >>> users = ratings.map(itemgetter(0)).distinct()
    >>> model = ALS.trainImplicit(ratings, 1, seed=10)
    >>> predictions_for_2 = model.predictAll(users.map(lambda u: (u, 2)))
    >>> predictions_for_2.glom().map(len).collect()
    [0, 0, 3, 0, 0]

This PR uses user and product instead of only product to partition the ratings.

Author: Liang-Chi Hsieh <viirya@gmail.com>
Author: Liang-Chi Hsieh <viirya@appier.com>

Closes #7121 from viirya/mfm_fix_partition and squashes the following commits:

779946d [Liang-Chi Hsieh] Calculate approximate numbers of users and products in one pass.
4336dc2 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into mfm_fix_partition
83e56c1 [Liang-Chi Hsieh] Instead of additional join, use the numbers of users and products to decide how to perform join.
b534dc8 [Liang-Chi Hsieh] Paritition ratings based on both users and products.
2015-07-02 10:18:23 -07:00