| Commit message (Collapse) | Author | Age | Files | Lines |
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Add exclusions and explicit dependencies so that the examples
assembly does not duplicate classes already packaged in the main
assembly.
Also avoid relocating the commons-math3 package since it's already
a dependency of spark-core, and thus is already available in the
main assembly.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes #5379 from vanzin/examples-deps and squashes the following commits:
12c258e [Marcelo Vanzin] [minor] [examples] Avoid re-packaging unneeded classes.
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This pull requests integrates SparkR, an R frontend for Spark. The SparkR package contains both RDD and DataFrame APIs in R and is integrated with Spark's submission scripts to work on different cluster managers.
Some integration points that would be great to get feedback on:
1. Build procedure: SparkR requires R to be installed on the machine to be built. Right now we have a new Maven profile `-PsparkR` that can be used to enable SparkR builds
2. YARN cluster mode: The R package that is built needs to be present on the driver and all the worker nodes during execution. The R package location is currently set using SPARK_HOME, but this might not work on YARN cluster mode.
The SparkR package represents the work of many contributors and attached below is a list of people along with areas they worked on
edwardt (edwart) - Documentation improvements
Felix Cheung (felixcheung) - Documentation improvements
Hossein Falaki (falaki) - Documentation improvements
Chris Freeman (cafreeman) - DataFrame API, Programming Guide
Todd Gao (7c00) - R worker Internals
Ryan Hafen (hafen) - SparkR Internals
Qian Huang (hqzizania) - RDD API
Hao Lin (hlin09) - RDD API, Closure cleaner
Evert Lammerts (evertlammerts) - DataFrame API
Davies Liu (davies) - DataFrame API, R worker internals, Merging with Spark
Yi Lu (lythesia) - RDD API, Worker internals
Matt Massie (massie) - Jenkins build
Harihar Nahak (hnahak87) - SparkR examples
Oscar Olmedo (oscaroboto) - Spark configuration
Antonio Piccolboni (piccolbo) - SparkR examples, Namespace bug fixes
Dan Putler (dputler) - Dataframe API, SparkR Install Guide
Ashutosh Raina (ashutoshraina) - Build improvements
Josh Rosen (joshrosen) - Travis CI build
Sun Rui (sun-rui)- RDD API, JVM Backend, Shuffle improvements
Shivaram Venkataraman (shivaram) - RDD API, JVM Backend, Worker Internals
Zongheng Yang (concretevitamin) - RDD API, Pipelined RDDs, Examples and EC2 guide
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Author: Shivaram Venkataraman <shivaram.venkataraman@gmail.com>
Author: Zongheng Yang <zongheng.y@gmail.com>
Author: cafreeman <cfreeman@alteryx.com>
Author: Shivaram Venkataraman <shivaram@eecs.berkeley.edu>
Author: Davies Liu <davies@databricks.com>
Author: Davies Liu <davies.liu@gmail.com>
Author: hlin09 <hlin09pu@gmail.com>
Author: Sun Rui <rui.sun@intel.com>
Author: lythesia <iranaikimi@gmail.com>
Author: oscaroboto <oscarjr@gmail.com>
Author: Antonio Piccolboni <antonio@piccolboni.info>
Author: root <edward>
Author: edwardt <edwardt.tril@gmail.com>
Author: hqzizania <qian.huang@intel.com>
Author: dputler <dan.putler@gmail.com>
Author: Todd Gao <todd.gao.2013@gmail.com>
Author: Chris Freeman <cfreeman@alteryx.com>
Author: Felix Cheung <fcheung@AVVOMAC-119.local>
Author: Hossein <hossein@databricks.com>
Author: Evert Lammerts <evert@apache.org>
Author: Felix Cheung <fcheung@avvomac-119.t-mobile.com>
Author: felixcheung <felixcheung_m@hotmail.com>
Author: Ryan Hafen <rhafen@gmail.com>
Author: Ashutosh Raina <ashutoshraina@users.noreply.github.com>
Author: Oscar Olmedo <oscarjr@gmail.com>
Author: Josh Rosen <rosenville@gmail.com>
Author: Yi Lu <iranaikimi@gmail.com>
Author: Harihar Nahak <hnahak87@users.noreply.github.com>
Closes #5096 from shivaram/R and squashes the following commits:
da64742 [Davies Liu] fix Date serialization
59266d1 [Davies Liu] check exclusive of primary-py-file and primary-r-file
55808e4 [Davies Liu] fix tests
5581c75 [Davies Liu] update author of SparkR
f731b48 [Shivaram Venkataraman] Only run SparkR tests if R is installed
64eda24 [Shivaram Venkataraman] Merge branch 'R' of https://github.com/amplab-extras/spark into R
d7c3f22 [Shivaram Venkataraman] Address code review comments Changes include 1. Adding SparkR docs to API docs generated 2. Style fixes in SparkR scala files 3. Clean up of shell scripts and explanation of install-dev.sh
377151f [Shivaram Venkataraman] Merge remote-tracking branch 'apache/master' into R
eb5da53 [Shivaram Venkataraman] Merge pull request #3 from davies/R2
a18ff5c [Davies Liu] Update sparkR.R
5133f3a [Shivaram Venkataraman] Merge pull request #7 from hqzizania/R3
940b631 [hqzizania] [SPARKR-92] Phase 2: implement sum(rdd)
0e788c0 [Shivaram Venkataraman] Merge pull request #5 from hlin09/doc-fix
3487461 [hlin09] Add tests log in .gitignore.
1d1802e [Shivaram Venkataraman] Merge pull request #4 from felixcheung/r-require
11981b7 [felixcheung] Update R to fail early if SparkR package is missing
c300e08 [Davies Liu] remove duplicated file
b045701 [Davies Liu] Merge branch 'remote_r' into R
19c9368 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into remote_r
f8fa8af [Davies Liu] mute logging when start/stop context
e7104b6 [Davies Liu] remove ::: in SparkR
a1777eb [Davies Liu] move rules into R/.gitignore
e88b649 [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
6e20e71 [Davies Liu] address comments
b433817 [Davies Liu] Merge branch 'master' of github.com:apache/spark into R
a1cedad [Shivaram Venkataraman] Merge pull request #228 from felixcheung/doc
e089151 [Davies Liu] Merge pull request #225 from sun-rui/SPARKR-154_2
463e28c [Davies Liu] Merge pull request #2 from shivaram/doc-fixes
bc2d6d8 [Shivaram Venkataraman] Remove arg from sparkR.stop and update docs
d425363 [Shivaram Venkataraman] Some doc fixes for column, generics, group
1f1a7e0 [Shivaram Venkataraman] Some fixes to DataFrame, RDD, SQLContext docs
104ad4e [Shivaram Venkataraman] Check the right env in exists
cf5cd99 [Shivaram Venkataraman] Remove unused numCols argument
85a50ec [Shivaram Venkataraman] Merge pull request #226 from RevolutionAnalytics/master
3eacfc0 [Davies Liu] fix flaky test
733380d [Davies Liu] update R examples (remove master from args)
b21a0da [Davies Liu] Merge pull request #1 from shivaram/log4j-tests
a1493d7 [Shivaram Venkataraman] Address comments
e1f83ab [Shivaram Venkataraman] Send Spark INFO logs to a file in SparkR tests
58276f5 [Shivaram Venkataraman] Merge branch 'R' of https://github.com/amplab-extras/spark into R
52cc92d [Shivaram Venkataraman] Add license to create-docs.sh
6ff5ea2 [Shivaram Venkataraman] Add instructions to generate docs
1f478c5 [Shivaram Venkataraman] Merge branch 'R' of https://github.com/amplab-extras/spark into R
02b4833 [Shivaram Venkataraman] Add a script to generate R docs (Rd, html) Also fix some issues with our documentation
d6d3729 [Davies Liu] enable spark and pyspark tests
0e5a83f [Davies Liu] fix code style
afd8a77 [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
d87a181 [Davies Liu] fix flaky tests
7100fb9 [Shivaram Venkataraman] Fix libPaths in README
bdf3a14 [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
05e7375 [Davies Liu] sort generics
b44e371 [Shivaram Venkataraman] Include RStudio instructions in README
855537f [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
9fb6af3 [Davies Liu] mark R classes/objects are private
423ea3c [Shivaram Venkataraman] Ignore unknown jobj in cleanup
974e4ea [Davies Liu] fix flaky test
410ec18 [Davies Liu] fix zipRDD() tests
d8b24fc [Davies Liu] disable spark and python tests temporary
ce3ca62 [Davies Liu] fix license check
7da0049 [Davies Liu] fix build
2892e29 [Davies Liu] support R in YARN cluster
ebd4d07 [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
38cbf59 [Davies Liu] fix test of zipRDD()
756ece0 [Shivaram Venkataraman] Update README remove outdated TODO
d436f26 [Davies Liu] add missing files
40d193a [Shivaram Venkataraman] Merge pull request #224 from sun-rui/SPARKR-224-new
1a16cd6 [Davies Liu] rm PROJECT_HOME
56670ef [Davies Liu] rm man page
ba4b80b [Davies Liu] Merge branch 'remote_r' into R
f04080c [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into remote_r
028cbfb [Davies Liu] fix exit code of sparkr unit test
42d8b4c [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
ef26015 [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
a1870e8 [Shivaram Venkataraman] Merge pull request #214 from sun-rui/SPARKR-156_3
cb6e5e3 [Shivaram Venkataraman] Add scripts to start SparkR on windows
8030847 [Shivaram Venkataraman] Set windows file separators, install dirs
05afef0 [Shivaram Venkataraman] Only stop backend JVM if R launched it
95d2de3 [Davies Liu] fix spark-submit with R scripot
baefd9e [Shivaram Venkataraman] Make bin/sparkR use spark-submit As a part of this move the R initialization functions into first.R and first-submit.R
d6f2bdd [Shivaram Venkataraman] Fix run-tests path
ea90fab [Davies Liu] fix spark-submit with R path and sparkR -h
0e2412c [Davies Liu] fix bin/sparkR
9f6aa1f [Davies Liu] Merge branch 'R' of github.com:amplab-extras/spark into R
479e3fe [Davies Liu] change println() to logging
52ca6e5 [Shivaram Venkataraman] Add missing comma
716b16f [Shivaram Venkataraman] Merge branch 'R' of https://github.com/amplab-extras/spark into R
2d235d4 [Shivaram Venkataraman] Build SparkR with Maven profile
aae881b [Davies Liu] fix rat
ff776aa [Shivaram Venkataraman] Fix style
e4f1937 [Shivaram Venkataraman] Remove DFC example
f7b6936 [Davies Liu] remove Spark prefix for class
043959e [Davies Liu] cleanup
ba53b09 [Davies Liu] support R in spark-submit
f403b4a [Davies Liu] rm .travis.yml
c4a5bdf [Davies Liu] run sparkr tests in Spark
e8fc7ca [Davies Liu] fix .gitignore
35e5755 [Davies Liu] reduce size of example data
50bff63 [Davies Liu] add LICENSE header for R sources
facb6e0 [Davies Liu] add .gitignore for .o, .so, .Rd
18e5eed [Davies Liu] update docs
0a0e632 [Davies Liu] move sparkR into bin/
a76472f [Davies Liu] fix path of assembly jar
df3eeea [Davies Liu] move R/examples into examples/src/main/r
3415cc7 [Davies Liu] move Scala source into core/ and sql/
180fc9c [Davies Liu] move scala
014d253 [Davies Liu] delete man pages
49a8133 [Davies Liu] Merge branch 'remote_r' into R
44994c2 [Davies Liu] Moved files to R/
2fc553f [Shivaram Venkataraman] Merge pull request #222 from davies/column2
b043876 [Davies Liu] fix test
5e610cb [Davies Liu] add more API for Column
6f95d49 [Shivaram Venkataraman] Merge pull request #221 from shivaram/sparkr-stop-start
3214c6d [Shivaram Venkataraman] Merge pull request #217 from hlin09/cleanClosureFix
f5d3355 [Shivaram Venkataraman] Merge pull request #218 from davies/merge
70f620c [Davies Liu] address comments
4b1628d [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into merge
3139325 [Shivaram Venkataraman] Merge pull request #212 from davies/toDF
6122e0e [Davies Liu] handle NULL
bc2ff38 [Davies Liu] handle NULL
7f5e70c [Davies Liu] Update SerDe.scala
46454e4 [Davies Liu] address comments
dd52cbc [Shivaram Venkataraman] Merge pull request #220 from shivaram/sparkr-utils-include
662938a [Shivaram Venkataraman] Include utils before SparkR for `head` to work Before this change calling `head` on a DataFrame would not work from the sparkR script as utils would be loaded after SparkR and placed ahead in the search list. This change requires utils to be loaded before SparkR
1bc2998 [Shivaram Venkataraman] Merge pull request #179 from evertlammerts/sparkr-sql
7695d36 [Evert Lammerts] added tests
8190127 [Evert Lammerts] fixed parquetFile signature
d8c8fcc [Shivaram Venkataraman] Merge pull request #219 from shivaram/sparkr-build-final
963c7ee [Davies Liu] Merge branch 'master' into merge
8bff523 [Shivaram Venkataraman] Remove staging repo now that 1.3 is released
e52258f [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into toDF
05b9126 [Shivaram Venkataraman] Merge pull request #215 from davies/agg
8e1497d [Davies Liu] Update DataFrame.R
72adb14 [Davies Liu] Update SQLContext.R
66cc92a [Davies Liu] address commets
55c38bc [Shivaram Venkataraman] Merge pull request #216 from davies/select2
3e0555d [Shivaram Venkataraman] Merge pull request #193 from davies/daemon
0467474 [Davies Liu] add more selecter for DataFrame
9a6be74 [Davies Liu] include grouping columns in agg()
e87bb98 [Davies Liu] improve comment and logging
a6dc435 [Davies Liu] remove dependency of jsonlite
26a3621 [Davies Liu] support date.frame and Date/Time
4e4908a [Davies Liu] createDataFrame from rdd
5757b95 [Shivaram Venkataraman] Merge pull request #196 from davies/die
90f2692 [Shivaram Venkataraman] Merge pull request #211 from hlin09/generics
8583968 [Davies Liu] readFully()
46cea3d [Davies Liu] retry
01aa5ee [Davies Liu] add config for using daemon, refactor
ff948db [hlin09] Remove missingOrInteger.
ecdfda1 [hlin09] Remove duplication.
411b751 [Davies Liu] make RStudio happy
8f8813f [Davies Liu] switch back to use parallel
6bccbbf [hlin09] Move roxygen doc back to implementation.
ffd6e8e [Shivaram Venkataraman] Merge pull request #210 from hlin09/hlin09
471c794 [hlin09] Move getJRDD and broadcast's value to 00-generic.R.
89b886d [hlin09] Move setGeneric() to 00-generics.R.
97dde1a [hlin09] Add a test for access operators.
09ff163 [Shivaram Venkataraman] Merge pull request #204 from cafreeman/sparkr-sql
15a713f [cafreeman] Fix example for `dropTempTable`
dc1291b [hlin09] Add checks for namespace access operators in cleanClosure.
b4c0b2e [Davies Liu] use fork package
3db5649 [cafreeman] Merge branch 'sparkr-sql' of https://github.com/amplab-extras/SparkR-pkg into sparkr-sql
789be97 [Shivaram Venkataraman] Merge pull request #207 from shivaram/err-remove
e60578a [cafreeman] update tests to guarantee row order
5eec6fc [Shivaram Venkataraman] Merge pull request #206 from sun-rui/SPARKR-156_2
3f7aed6 [Sun Rui] Fix minor typos in the function description.
a8cebf0 [Shivaram Venkataraman] Remove print statement in SparkRBackendHandler This print statement is noisy for SQL methods which have multiple APIs (like loadDF). We already have a better error message when no valid methods are found
5e3a576 [Sun Rui] Fix indentation.
f3d99a6 [Sun Rui] [SPARKR-156] phase 2: implement zipWithIndex() of the RDD class.
a582810 [cafreeman] Merge branch 'dfMethods' into sparkr-sql
7a5d6fd [cafreeman] `withColumn` and `withColumnRenamed`
c5fa3b9 [cafreeman] New `select` method
bcb0bf5 [Shivaram Venkataraman] Merge pull request #180 from davies/group
9dd6a5a [Davies Liu] Update SparkRBackendHandler.scala
e6fb8d8 [Davies Liu] improve logging
428a99a [Davies Liu] remove test, catch exception
fef99de [cafreeman] `intersect`, `subtract`, `unionAll`
befbd32 [cafreeman] `insertInto`
9d01bcd [cafreeman] `dropTempTable`
d8c1c09 [Davies Liu] add test to start and stop context multiple times
18c6004 [Shivaram Venkataraman] Merge pull request #201 from sun-rui/SPARKR-156_1
dfb399a [Davies Liu] address comments
f06ccec [Sun Rui] Use mapply() instead of for statement.
3c7674f [Davies Liu] Merge branch 'die' of github.com:davies/SparkR-pkg into die
ac8a852 [Davies Liu] close monitor connection in sparkR.stop()
4d0fb56 [Shivaram Venkataraman] Merge pull request #203 from shivaram/sparkr-hive-fix
62b0760 [Shivaram Venkataraman] Fix test hive context package name
47a613f [Shivaram Venkataraman] Fix HiveContext package name
fb3b139 [Davies Liu] fix tests
d0d4626 [Shivaram Venkataraman] Merge pull request #199 from davies/load
8b7fb67 [Davies Liu] fix HiveContext
bb46832 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into load
e9e2a03 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into group
b875b4f [Davies Liu] fix style
de2abfa [Shivaram Venkataraman] Merge pull request #202 from cafreeman/sparkr-sql
3675fcf [cafreeman] Update `explain` and fixed doc for `toJSON`
5fd9575 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into load
6fac596 [Davies Liu] support Column expression in agg()
f10a24e [Davies Liu] address comments
ff8b005 [cafreeman] 'saveAsParquetFile`
a5c2887 [cafreeman] fix test
3fab0f8 [cafreeman] `showDF`
779c102 [cafreeman] `isLocal`
68b11cf [cafreeman] `toJSON`
0ac4abc [cafreeman] 'explain`
20242c4 [cafreeman] clean up docs
6a1fe64 [Shivaram Venkataraman] Merge pull request #198 from cafreeman/sparkr-sql
198c130 [Shivaram Venkataraman] Merge pull request #200 from shivaram/sparkr-sql-build
870acd4 [Shivaram Venkataraman] Use rc2 explicitly
8b9a963 [cafreeman] Merge branch 'sparkr-sql' of https://github.com/amplab-extras/SparkR-pkg into sparkr-sql
bc90115 [cafreeman] Fixed docs
3865f39 [Sun Rui] [SPARKR-156] phase 1: implement zipWithUniqueId() of the RDD class.
a37fd80 [Davies Liu] Update sparkR.R
d18f9d3 [Shivaram Venkataraman] Remove SparkR snapshot build We now have 1.3.0 RC2 on Apache Staging
8de958d [Davies Liu] Update SparkRBackend.scala
4e0becc [Shivaram Venkataraman] Merge pull request #194 from davies/api
197a79b [Davies Liu] add HiveContext (commented)
32aa01d [Shivaram Venkataraman] Merge pull request #191 from felixcheung/doc
5073e07 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into load
7918634 [cafreeman] Fix test
acea146 [cafreeman] remove extra line
74269f3 [cafreeman] Merge branch 'dfMethods' into sparkr-sql
cd7ac8a [Shivaram Venkataraman] Merge pull request #197 from cafreeman/sparkr-sql
494a4dd [cafreeman] update export
e14c328 [cafreeman] `selectExpr`
32b37d1 [cafreeman] Fixed indent in `join` test.
2e7b190 [Felix Cheung] small update on yarn deploy mode.
8ff29d6 [Davies Liu] fix tests
12a6db2 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into api
294ca4a [cafreeman] `join`, `sort`, and `filter`
4fa6343 [cafreeman] Refactor `join` generic for use with `DataFrame`
3f22c8d [Shivaram Venkataraman] Merge pull request #195 from cafreeman/sparkr-sql
2b6f980 [Davies Liu] shutdown the JVM after R process die
e8639c3 [cafreeman] New 1.3 repo and updates to `column.R`
ed9a89f [Davies Liu] address comments
03bcf20 [Davies Liu] Merge branch 'group' of github.com:davies/SparkR-pkg into group
39c253d [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into group
98cc97a [Davies Liu] fix test and docs
e2d144a [Felix Cheung] Fixed small typos
3beadcf [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into api
06cbc2d [Davies Liu] launch R worker by a daemon
8a676b1 [Shivaram Venkataraman] Merge pull request #188 from davies/column
524c122 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into column
f798402 [Davies Liu] Update column.R
1d0f2ae [Davies Liu] Update DataFrame.R
03402eb [Felix Cheung] Updates as per feedback on sparkR-submit
76cf2e0 [Shivaram Venkataraman] Merge pull request #192 from cafreeman/sparkr-sql
1955a09 [cafreeman] return object instead of a list of one object
f585929 [cafreeman] Fix brackets
e998356 [cafreeman] define generic for 'first' in RDD API
71d66a1 [Davies Liu] fix first(0
8ec21af [Davies Liu] fix signature
acae527 [Davies Liu] refactor
d7b17a4 [Davies Liu] fix approxCountDistinct
7dfe27d [Davies Liu] fix cyclic namespace dependency
8caf5bb [Davies Liu] use S4 methods
5c0bb24 [Felix Cheung] Doc updates: build and running on YARN
773baf0 [Zongheng Yang] Merge pull request #178 from davies/random
862f07c [Shivaram Venkataraman] Merge pull request #190 from shivaram/SPARKR-79
b457833 [Shivaram Venkataraman] Merge pull request #189 from shivaram/stdErrFix
f7caeb8 [Davies Liu] Update SparkRBackend.scala
8c4deae [Shivaram Venkataraman] Remove unused function
6e51c7f [Shivaram Venkataraman] Fix stderr redirection on executors
7afa4c9 [Shivaram Venkataraman] Merge pull request #186 from hlin09/funcDep3
4d36ab1 [hlin09] Add tests for broadcast variables.
3f57e56 [hlin09] Fix comments.
7b72487 [hlin09] Fix comments.
ae05bf1 [Davies Liu] Merge branch 'sparkr-sql' of github.com:amplab-extras/SparkR-pkg into column
abb4bb9 [Davies Liu] add Column and expression
eb8ac11 [Shivaram Venkataraman] Set Spark version 1.3.0 in Windows build
5c72e73 [Davies Liu] wait atmost 100 seconds
e425437 [Shivaram Venkataraman] Merge pull request #177 from lythesia/master
a00f502 [lythesia] fix indents
0346e5f [Davies Liu] address comment
6134649 [Shivaram Venkataraman] Merge pull request #187 from cafreeman/sparkr-sql
ad0935e [lythesia] minor fixes
b0e7f73 [cafreeman] Update `sampleDF` test
7b0d070 [lythesia] keep partitions check
889c265 [cafreeman] numToInt utility function
27dd3a0 [lythesia] modify tests for repartition
cad0f0c [cafreeman] Fix docs and indents
2808dcf [cafreeman] Three more DataFrame methods
5ef66fb [Davies Liu] send back the port via temporary file
3b46429 [Davies Liu] Merge branch 'master' of github.com:amplab-extras/SparkR-pkg into random
798f453 [cafreeman] Merge branch 'sparkr-sql' into dev
9aa4acf [Shivaram Venkataraman] Merge pull request #184 from davies/socket
020bce8 [Shivaram Venkataraman] Merge pull request #183 from cafreeman/sparkr-sql
222e06b [cafreeman] Lazy evaluation and formatting changes
e776324 [Davies Liu] fix import
211cc15 [cafreeman] Merge branch 'sparkr-sql' into dev
3351afd [hlin09] Replaces getDependencies with cleanClosure, to serialize UDFs to workers.
e7c56d6 [lythesia] fix random partition key
50c74b1 [Davies Liu] address comments
083c89f [cafreeman] Remove commented lines an unused import
dfa119b [hlin09] Improve the coverage of processClosure.
a41c9b9 [cafreeman] Merge branch 'wrapper' into sparkr-sql
1cd714f [cafreeman] Wrapper function docs.
db0cd9e [cafreeman] Clean up for wrapper functions
818c19f [cafreeman] Update schema-related functions
a57884e [cafreeman] Remove unused import
d72e830 [cafreeman] Add wrapper for `StructField` and `StructType`
2ea2ecf [lythesia] use generic arg
09b9512 [hlin09] add docs
f4f077c [hlin09] Add recursive cleanClosure for function access.
f84ad27 [hlin09] Merge remote-tracking branch 'upstream/master' into funcDep2
5300766 [Shivaram Venkataraman] Merge pull request #185 from hlin09/hlin09
07aa7c0 [hlin09] Unifies the implementation of lapply with lapplyParitionsWithIndex.
f4dbb0b [Davies Liu] use socket in worker
8282c59 [Davies Liu] Update DataFrame.R
ba495a8 [Davies Liu] Update NAMESPACE
36dffb3 [cafreeman] Add 'head` and `first`
534a95f [cafreeman] Schema-related methods
64f488d [cafreeman] Cache and Persist Methods
30d71fd [cafreeman] Standardize method arguments for DataFrame methods
785898b [Shivaram Venkataraman] Merge pull request #182 from cafreeman/sparkr-sql
2619003 [Shivaram Venkataraman] Merge pull request #181 from cafreeman/master
a9bbe0b [cafreeman] Update existing SparkSQL functions
8c241a3 [cafreeman] Merge with master, include changes to method args
68d6de4 [cafreeman] Fix typos
8d2ec6e [Davies Liu] add sum/max/min/avg/mean
774e687 [Davies Liu] add missing API in SQLContext
1e72b4b [Davies Liu] missing API in SQLContext
3294949 [Chris Freeman] Restore `rdd` argument to `getJRDD`
3a58ebc [Davies Liu] rm unrelated file
8bd93b5 [Davies Liu] fix signature
c652b4c [cafreeman] Update method signatures to use generic arg
48c8827 [Davies Liu] update NAMESPACE
84e2d8c [Davies Liu] groupBy and agg()
7c3ddbd [Davies Liu] create jmode in JVM
9465426 [Davies Liu] load and save
982f342 [lythesia] fix numeric issue
7651d84 [lythesia] fix coalesce
4e712e1 [Davies Liu] use random port in backend
041d22b [Shivaram Venkataraman] Merge pull request #172 from cafreeman/sparkr-sql
0d07770 [cafreeman] Added `limit` and updated `take`
301d8e5 [cafreeman] Remove extraneous map functions
0387db2 [cafreeman] Remove colNames
04c4b65 [lythesia] add repartition/coalesce
231deab [cafreeman] Change reserialize to serializeToBytes
acf7e1a [cafreeman] Rework the Scala to R DataFrame Conversion
481ae37 [cafreeman] Updated stale comments and standardized arg names
21d4a97 [hlin09] Adds cleanClosure to capture the function closures.
d24ffb4 [hlin09] Merge remote-tracking branch 'upstream/master' into funcDep2
8be02de [hlin09] Revert "loop 1-12 test pass."
fddb9cc [hlin09] Revert "add docs"
f8ef0ab [hlin09] Revert "More docs"
8e4b3da [hlin09] Revert "More docs"
57e005b [hlin09] Revert "fix tests."
c10148e [Shivaram Venkataraman] Merge pull request #174 from shivaram/sparkr-runner
910e3be [Shivaram Venkataraman] Add a timeout for initialization Also move sparkRBackend.stop into a finally block
bf52b17 [Shivaram Venkataraman] Merge remote-tracking branch 'amplab-sparkr/master' into sparkr-runner
08102b0 [Shivaram Venkataraman] Merge pull request #176 from lythesia/master
9c77b20 [Chris Freeman] Merge pull request #2 from shivaram/sparkr-sql
179ab38 [lythesia] add try counts and increase time interval
71a73b2 [Shivaram Venkataraman] Use a getter for serialization mode This change encapsulates the semantics of serialization mode for RDDs inside a getter function. For PipelinedRDDs if a backing JavaRDD is available we use that else we fall back to a default serialization mode
06bf250 [Shivaram Venkataraman] Merge pull request #173 from shivaram/windows-space-fix
88bf97f [Shivaram Venkataraman] Create SparkContext for R shell launch
f9268d9 [Shivaram Venkataraman] Fix code review comments
e6ad12d [Shivaram Venkataraman] Update comment describing sparkR-submit
17eda4c [Shivaram Venkataraman] Merge pull request #175 from falaki/docfix
ba2b72b [Hossein] Spark 1.1.0 is default
4cd7d3f [lythesia] retry backend connection
749e2d0 [Hossein] Updated README
bc04cf4 [Shivaram Venkataraman] Use SPARKR_BACKEND_PORT in sparkR.R as default Change SparkRRunner to use EXISTING_SPARKR_BACKEND_PORT to differentiate between the two
22a19ac [Shivaram Venkataraman] Use a semaphore to wait for backend to initalize Also pick a random port to avoid collisions
7f1f0f8 [cafreeman] Move comments to fit 100 char line length
8b84e4e [cafreeman] Make if statements more explicit
ce5d5ab [cafreeman] New tests for Union and Object File
b063320 [cafreeman] Changed 'serialized' to 'serializedMode'
0981dff [Zongheng Yang] Merge pull request #168 from sun-rui/SPARKR-153_2
86fc639 [Shivaram Venkataraman] Move sparkR-submit into pkg/inst
fd8f8a9 [Shivaram Venkataraman] Merge branch 'hqzizania-master'
a33dbea [Shivaram Venkataraman] Merge branch 'master' of https://github.com/hqzizania/SparkR-pkg into hqzizania-master
384e6e2 [Shivaram Venkataraman] Merge pull request #171 from hlin09/hlin09
1f5a6ac [hlin09] fixed comments
7f7596a [cafreeman] Additional handling for "row" serialization
8c3b8c5 [cafreeman] Add test for UnionRDD on "row" serialization
b1141f8 [cafreeman] Fixed formatting issues.
5db30bf [cafreeman] Changed serialized from bool to string
2f0c0b8 [cafreeman] Add check for serialized type
d243dfb [cafreeman] Clean up code
5ff63a2 [cafreeman] Change test from boolean to string
77fec1a [cafreeman] Updated .Rd files
9224989 [cafreeman] Various updates for DataFrame to RRDD
26af62b [cafreeman] DataFrame to RRDD
e004481 [cafreeman] Update UnionRDD test
5292be7 [hlin09] Adds support of pipeRDD().
e2a7560 [Shivaram Venkataraman] Merge pull request #170 from cafreeman/sparkr-sql
5d537f4 [cafreeman] Add pairRDD to Description
b6fa88e [cafreeman] Updating to current master
0cda231 [Sun Rui] [SPARKR-153] phase 2: implement aggregateByKey() and foldByKey().
95ee6b4 [Shivaram Venkataraman] Merge remote-tracking branch 'amplab-sparkr/master' into sparkr-runner
67fbc60 [Shivaram Venkataraman] Add support for SparkR shell to use spark-submit This ensures that SparkConf options are read in both in batch and interactive modes
2271030 [Shivaram Venkataraman] Merge pull request #167 from sun-rui/removePartionByInRDD
7fcb46a [Sun Rui] Remove partitionBy() in RDD.
52f94c4 [Shivaram Venkataraman] Merge pull request #160 from lythesia/master
59e2d54 [lythesia] merge with upstream
5836650 [Zongheng Yang] Merge pull request #163 from sun-rui/SPARKR-153_1
141723e [Sun Rui] fix comments.
f73a07e [Shivaram Venkataraman] Merge pull request #165 from shivaram/sparkr-sql-build
10ffc6d [Shivaram Venkataraman] Set Spark version to 1.3 using staging dependency Also fix the maven build
c91ede2 [Shivaram Venkataraman] Merge pull request #164 from hlin09/hlin09
9d335a9 [hlin09] Makes git to ignore Eclipse meta files.
94066bf [Sun Rui] [SPARKR-153] phase 1: implement fold() and aggregate().
9c391c7 [hqzizania] Merge remote-tracking branch 'upstream/master'
5f29551 [hqzizania] modified: pkg/R/RDD.R modified: pkg/R/context.R
d968664 [lythesia] fix comment
7972858 [Shivaram Venkataraman] Merge pull request #159 from sun-rui/SPARKR-150_2
7690878 [lythesia] separate out pair RDD functions
f4573c1 [Sun Rui] Use reduce() instead of sortBy().take() to get the ordered elements.
63e62ed [Sun Rui] [SPARKR-150] phase 2: implement takeOrdered() and top().
050390b [Shivaram Venkataraman] Fix bugs in inferring R file
8398f2e [Shivaram Venkataraman] Add sparkR-submit helper script Also adjust R file path for YARN cluster mode
bd6705b [Zongheng Yang] Merge pull request #154 from sun-rui/SPARKR-150
c7964c9 [Sun Rui] Merge with upstream master.
7feac38 [Sun Rui] Use default arguments for sortBy() and sortKeyBy().
de2bfb3 [Sun Rui] Fix minor comments and add more test cases.
0c6e071 [Zongheng Yang] Merge pull request #157 from lythesia/master
f5038c0 [lythesia] pull out anonymous functions in groupByKey
ba6f044 [lythesia] fixes for reduceByKeyLocally
343b6ab [Oscar Olmedo] Export sparkR.stop Closes #156 from oscaroboto/master
25639cf [Shivaram Venkataraman] Replace tabs with spaces
bb25920 [Shivaram Venkataraman] Merge branch 'dputler-master'
fd836db [hlin09] fix tests.
24a7f13 [hlin09] More docs
a465165 [hlin09] More docs
6ad4fc3 [hlin09] add docs
b082a35 [lythesia] add reduceByKeyLocally
7ca6512 [Shivaram Venkataraman] First cut of SparkRRunner
193f5fe [hlin09] loop 1-12 test pass.
345f1b8 [dputler] [SPARKR-195] Implemented project style guidelines for if-else statements
8043559 [Sun Rui] Add a TODO to use binary search in the range partitioner.
91b2fd6 [Sun Rui] Add more test cases.
e8ebbe4 [Shivaram Venkataraman] Merge pull request #152 from cafreeman/sparkr-sql
0c53d6c [dputler] Data frames now coerced to lists, and messages issued for a data frame or matrix on how they are parallelized
6d57ec0 [cafreeman] Remove json test file since we're using a temp
ac1ef09 [cafreeman] Update registerTempTable test
d9da451 [Sun Rui] [SPARKR-150] phase 1: implement sortBy() and sortByKey().
08ff30b [Shivaram Venkataraman] Merge pull request #153 from hqzizania/master
9767e8e [hqzizania] modified: pkg/man/collect-methods.Rd
5d69f0a [hqzizania] modified: pkg/R/RDD.R
4914091 [hqzizania] modified: pkg/inst/tests/test_rdd.R
742a68b [cafreeman] Update test_sparkRSQL.R
a95823e [hqzizania] modified: pkg/R/RDD.R
2d04526 [cafreeman] Formatting
fae9bdd [cafreeman] Renamed to SQLUtils.scala
39888ea [Chris Freeman] Update test_sparkSQL.R
fce2453 [cafreeman] Updated documentation for SQLContext
13fbf12 [cafreeman] Regenerated .Rd files
51ecf41 [cafreeman] Updated Scala object
30d7337 [cafreeman] Added SparkSQL test
74b3ed6 [cafreeman] Incorporate code feedback
554bda0 [Zongheng Yang] Merge pull request #147 from shivaram/sparkr-ec2-fixes
a5f4f8f [cafreeman] Squashed commit of the following:
f34bb88 [Shivaram Venkataraman] Remove profiling information from this PR
c662f29 [Zongheng Yang] Merge pull request #146 from shivaram/spark-1.2-build
21e9b74 [Zongheng Yang] Merge pull request #145 from lythesia/master
76f6b9e [Shivaram Venkataraman] Merge pull request #149 from hqzizania/master
1c2dbec [lythesia] minor fix for refactoring join code
5b380d3 [hqzizania] modified: pkg/man/combineByKey.Rd modified: pkg/man/groupByKey.Rd modified: pkg/man/partitionBy.Rd modified: pkg/man/reduceByKey.Rd
98794fe [hqzizania] modified: pkg/R/RDD.R
b66534d [Zongheng Yang] Merge pull request #144 from shivaram/fix-rd-files
60da1df [Shivaram Venkataraman] Initialize timing variables
179aa75 [Shivaram Venkataraman] Bunch of fixes for longer running jobs 1. Increase the timeout for socket connection to wait for long jobs 2. Add some profiling information in worker.R 3. Put temp file writes before stdin writes in RRDD.scala
06d99f0 [Shivaram Venkataraman] Fix URI to have right number of slashes
add97f5 [Shivaram Venkataraman] Use URL encode to create valid URIs for jars
4eec962 [lythesia] refactor join functions
73430c6 [Shivaram Venkataraman] Make SparkR work on paths with spaces on Windows
aaf8f47 [Shivaram Venkataraman] Exclude hadoop client from Spark dependency
227ee42 [Zongheng Yang] Merge pull request #141 from shivaram/SPARKR-140
ac5ceb1 [Shivaram Venkataraman] Fix code review comments
32394de [Shivaram Venkataraman] Regenerate Rd files for SparkR This fixes a number of issues in SparkR man pages. The main changes are 1. Don't export or generate docs for PipelineRDD 2. Fix variable names for Filter, count to match base methods 3. Document missing arguments for sparkR.init, print.jobj etc.
e157bf6 [Shivaram Venkataraman] Use prev_serialized to track if JRDD is serialized This changes introduces a new variable in PipelineRDD environment to track if the prev_jrdd is serialized or not.
7428a7e [Zongheng Yang] Merge pull request #143 from shivaram/SPARKR-181
7dd1797 [Shivaram Venkataraman] Address code review comments
8f81c45 [Shivaram Venkataraman] Remove roxygen export for PipelinedRDD
0cb90f1 [Zongheng Yang] Merge pull request #142 from shivaram/SPARKR-169
d1c6e6c [Shivaram Venkataraman] Buffer stderr from R and return it on Exception This change buffers the last 100 lines from R process and passes these lines back to the driver if we have an exception. This will help users debug why their tasks failed on the cluster
d6c1393 [Shivaram Venkataraman] Suppress warnings from normalizePath
a382835 [Shivaram Venkataraman] Fix serialization tracking in pipelined RDDs When creating a pipeline RDD, we need to check if the JavaRDD belonging to the parent is serialized.
da39529 [Zongheng Yang] Merge pull request #140 from sun-rui/SPARKR-183
2814caa [Sun Rui] Merge with upstream master.
cd2a5b3 [Sun Rui] Add reference to Nagle's algorithm and clean code.
52356b6 [Shivaram Venkataraman] Merge pull request #139 from shivaram/fix-backend-exit
97e5a1f [Sun Rui] [SPARKR-183] Fix the issue that parallelize collect tests are slow.
a9f8e8e [Shivaram Venkataraman] Merge pull request #138 from concretevitamin/fix-collect-test
125ae43 [Shivaram Venkataraman] Fix SparkR backend to exit in more cases This change has two fixes 1. When the workspace is saved (from R or RStudio) the backend connection seems to be closed before the finalizer is run. In such cases we reopen the connection and stop the backend 2. With RStudio when R is restarted, there are port-conflicts which appear due to a race condition between the JVM and rsession restart. This change adds a 1 sec sleep to avoid this race.
12c102a [Zongheng Yang] Simplify a unit test.
9c0637a [Zongheng Yang] Merge pull request #137 from shivaram/fix-docs
0df0e18 [Shivaram Venkataraman] Fix documentation for includePackage
7549f88 [Zongheng Yang] Merge pull request #136 from shivaram/man-updates
7edbe46 [Shivaram Venkataraman] Add missing man pages
9cb9567 [Shivaram Venkataraman] Merge pull request #131 from shivaram/rJavaExpt
1fa722e [Shivaram Venkataraman] Rename to SerDe now
2fcb051 [Shivaram Venkataraman] Rename to SerDeJVMR
d112cf0 [Shivaram Venkataraman] Style fixes
9fd01cc [Shivaram Venkataraman] Remove unnecessary braces
0881931 [Shivaram Venkataraman] Some more style fixes
f00b531 [Shivaram Venkataraman] Address code review comments. Big changes include style fixes throughout for named arguments
c09ba05 [Shivaram Venkataraman] Change jobj id to be just an integer Add a new print.jobj that gets the class name and prints it Also add a utility function isInstanceOf
be05b16 [Shivaram Venkataraman] Check if context, connection exist before stopping
d596a23 [Shivaram Venkataraman] Address code review comments
396e7ac [Shivaram Venkataraman] Changes to make new backend work on Windows This change uses file.path to construct the Java binary path in a OS agnostic way and uses system2 to handle quoting binary paths correctly. Tests pass on Mac OSX and a Windows EC2 instance.
e7a4e03 [Shivaram Venkataraman] Remove unused file BACKEND.md
62f380b [Shivaram Venkataraman] Update worker.R to use new deserialization call
8b9c4e6 [Shivaram Venkataraman] Change RDD name, setName to use new backend
6dcd5c5 [Shivaram Venkataraman] Merge branch 'master' of https://github.com/amplab-extras/SparkR-pkg into rJavaExpt
0873397 [Shivaram Venkataraman] Refactor java object tracking into a new singleton. Also add comments describing each class
95db964 [Shivaram Venkataraman] Add comments, cleanup new R code
bcd4258 [Zongheng Yang] Merge pull request #130 from lythesia/master
74dbc5e [Sun Rui] Match method using parameter types.
7ad4a4d [Sun Rui] Use 1 char to represent types on the backend->client direction.
bace887 [Sun Rui] Use an integer count for the backend java object ID because Uniqueness isn't guaranteed by System.identityHashCode().
b38d04f [Sun Rui] Use 1 char to represent types on the client -> backend direction.
f88bc68 [lythesia] Merge branch 'master' of github.com:lythesia/SparkR-pkg
71d41f5 [lythesia] add test case for fullOuterJoin
eb4f423 [lythesia] --amend
cffecc5 [lythesia] add test case for fullOuterJoin
a547dd2 [Shivaram Venkataraman] Move classTag, rddRef into newJObject call This avoids them getting eagerly garbage collected
1255391 [Shivaram Venkataraman] Add a finalizer for jobj objects This enables Java objects to be garbage collected on the backend when they are no longer referenced in R. Also rename newJava to newJObject to be more consistent with callJMethod
70fa409 [Sun Rui] Add YARN Conf Dir to the class path when launching the backend.
a1108ca [lythesia] add fullOuterJoin in RDD.R
2152727 [Shivaram Venkataraman] Remove empty file
cd08bee [Shivaram Venkataraman] Update all functions to use new backend All unit tests pass.
9de49b7 [Shivaram Venkataraman] Add high level calls for methods, constructors Also update BACKEND.md
5a97ea4 [Shivaram Venkataraman] Add jobj S3 class that holds backend refs
e071d3e [Shivaram Venkataraman] Change SparkRBackend to use general method calls This change uses a custom protocl + JNI to invoke any method on a given object type. Also update serializers, deserializers to make code more concise
49f0404 [Shivaram Venkataraman] Merge pull request #129 from lythesia/master
7f8cd82 [lythesia] update man
4715ed2 [Yi Lu] Update RDD.R
5a53801 [lythesia] fix name,setName
4f3870b [lythesia] add name,setName in RDD.R
1c25700 [Shivaram Venkataraman] Merge pull request #128 from sun-rui/SPARKR-165
c8507d8 [Sun Rui] [SPARKR-165] IS_SCALAR is not present in R before 3.1
2cff2bd [Sun Rui] Add function to invoke Java method.
7a31da1 [Shivaram Venkataraman] Merge branch 'dputler-master'. Closes #119
0ceba82 [Shivaram Venkataraman] Merge branch 'master' of https://github.com/dputler/SparkR-pkg into dputler-master
735f70c [Shivaram Venkataraman] Merge pull request #125 from 7c00/rawcon
fccfe6c [Shivaram Venkataraman] Merge pull request #127 from sun-rui/SPARKR-164
387bd57 [Sun Rui] [SPARKR-164] Temporary files used by SparkR accumulat as time goes on.
5f2268f [Shivaram Venkataraman] Add support to stop backend
5f745c0 [Shivaram Venkataraman] Update notes in backend
22015c1 [Shivaram Venkataraman] Add first cut of SparkR Backend
52821da [Todd Gao] switch the order of packages and function deps
d7b0007 [Todd Gao] remove memCompress
cb6873e [Shivaram Venkataraman] Merge pull request #126 from sun-rui/SPARKR-147
c5962eb [Todd Gao] further optimize using rawConnection
f04c6e0 [Sun Rui] [SPARKR-147] Support multiple directories as input to textFile.
b7de604 [Todd Gao] optimize execFunctionDeps loading in worker.R
4d4fc30 [Shivaram Venkataraman] Merge pull request #122 from cafreeman/master
b508877 [cafreeman] Update SparkR_IDE_Setup.sh
21ed9d7 [cafreeman] Update build.sbt
f73ec16 [cafreeman] Delete SparkR_IDE_Setup_Guide.md
d63b026 [cafreeman] Delete SparkR_Quick_Start_Guide.md
6e6cb62 [cafreeman] Update SparkR_IDE_Setup.sh
bc6042b [cafreeman] Update build.sbt
a8197d5 [cafreeman] Merge remote-tracking branch 'upstream/master'
d671564 [Zongheng Yang] Merge pull request #123 from shivaram/jcheck-void
76b8d00 [Zongheng Yang] Merge pull request #124 from shivaram/master
b690d58 [Shivaram Venkataraman] Specify how to change Spark versions in README
0fb003d [Shivaram Venkataraman] Merge branch 'master' of https://github.com/amplab-extras/SparkR-pkg into jcheck-void
1c227b4 [Shivaram Venkataraman] Also add a check in context.R
96812b6 [Shivaram Venkataraman] Check for exceptions after void method calls
f5c216d [cafreeman] Merge remote-tracking branch 'upstream/master'
90c8933 [Zongheng Yang] Merge pull request #121 from shivaram/fix-sort-order
bd0e3b4 [Shivaram Venkataraman] Fix saveAsTextFile test case
2e55f67 [Shivaram Venkataraman] Merge branch 'master' of https://github.com/amplab-extras/SparkR-pkg into fix-sort-order
f10c607 [Shivaram Venkataraman] Merge pull request #118 from sun-rui/saveAsTextFile
6c9bfc0 [Sun Rui] Merge remote-tracking branch 'SparkR_upstream/master' into saveAsTextFile
6faedbe [cafreeman] Update SparkR_IDE_Setup_Guide.md
57008bc [cafreeman] Update SparkR_IDE_Setup.sh
bb1c17d [cafreeman] Update SparkR_IDE_Setup.sh
538bfdb [cafreeman] Update SparkR_Quick_Start_Guide.md
31322c6 [cafreeman] Update SparkR_IDE_Setup.sh
ca3f593 [Sun Rui] Refactor RRDD code.
df58d95 [cafreeman] Update SparkR_Quick_Start_Guide.md
b488c88 [cafreeman] Rename Spark_IDE_Setup.sh to SparkR_IDE_Setup.sh
b2545a4 [cafreeman] Added IDE Setup Guide
0ffb5de [cafreeman] Merge branch 'master' of https://github.com/cafreeman/SparkR-pkg
bd8fbfb [cafreeman] Merge remote-tracking branch 'upstream/master'
98efa5b [cafreeman] Added Quick Start Guide
3cf88f2 [Shivaram Venkataraman] Sort lists before comparing in unit tests Since Spark doesn't guarantee that shuffle results will always be in the same order, we need to sort the results before comparing for deterministic behavior
d621dbc [Shivaram Venkataraman] Merge pull request #120 from sun-rui/objectFile
c4a44d7 [Sun Rui] Add @seealso in comments and extract some common code into a function.
724e3a4 [cafreeman] Update Spark_IDE_Setup.sh
8153e5a [Sun Rui] [SPARKR-146] Support read/save object files in SparkR.
17f9909 [cafreeman] Update Spark_IDE_Setup.sh
a9eb080 [cafreeman] IDE Shell Script
64d800c [dputler] Merge remote branch 'upstream/master'
1fbdb2e [dputler] Added the ability for the user to specify a text file location throught the use of tilde expansion or just the file name if it is in the working directory.
d83c017 [Shivaram Venkataraman] Merge pull request #113 from sun-rui/stringHashCodeInC
a7d9cdb [Sun Rui] Fix build on Windows.
7d81b05 [Shivaram Venkataraman] Merge pull request #114 from hlin09/hlin09
47c4bb7 [hlin09] fix reviews
a457f7f [Shivaram Venkataraman] Merge pull request #116 from dputler/master
0fa48d1 [Shivaram Venkataraman] Merge pull request #117 from sun-rui/keyBy
85cfeb4 [Sun Rui] [SPARKR-144] Implement saveAsTextFile() in the RDD class.
09083d9 [Sun Rui] Add keyBy() to the RDD class.
caad5d7 [dputler] Adding the script to install software on the Cloudera Quick Start VM.
dca3d05 [hlin09] Minor fix.
ece5f7d [hlin09] Merge remote-tracking branch 'upstream/master' into hlin09
a40874b [hlin09] Use extendible accumulators aggregate the cogroup values.
d0347ce [Zongheng Yang] Merge pull request #112 from sun-rui/outer_join
492f76e [Sun Rui] Refine code and add description.
ba01358 [Shivaram Venkataraman] Merge pull request #115 from sun-rui/SPARKR-130
5c8e46e [Sun Rui] Fix per the review comments.
7190a2c [Sun Rui] Update comment to add a reference to storage levels.
1da705e [hlin09] Fix the review comments.
c4b77be [Sun Rui] [SPARKR-130] Add persist(storageLevel) API to RDD.
b424a1a [hlin09] Add function cogroup().
9770312 [Shivaram Venkataraman] Merge pull request #111 from hlin09/hlin09
cead7df [hlin09] fix review comments.
54f712e [Sun Rui] Implement string hash code in C.
425f0c6 [Sun Rui] Add leftOuterJoin() and rightOuterJoin() to the RDD class.
39509c7 [hlin09] add Rd file for foreach and foreachPartition.
63d6ac7 [hlin09] Adds function foreach() and foreachPartition().
9c954df [Zongheng Yang] Merge pull request #105 from sun-rui/join
c71228d [Sun Rui] Pre-allocate list with fixed length. Add test case for join() using string key.
bc3e9f6 [Shivaram Venkataraman] Merge pull request #108 from concretevitamin/take-optimize
c06fc90 [Zongheng Yang] Fix: only optimize for unserialized dataset case.
d399aeb [Zongheng Yang] Apply size-capping on logical representation instead of physical.
e4217dd [Zongheng Yang] Merge pull request #107 from shivaram/master
7952180 [Shivaram Venkataraman] Copy, use getLocalDirs from Spark Utils.scala
08e24c3 [Zongheng Yang] Merge pull request #109 from hlin09/hlin09
97d4e02 [Zongheng Yang] Min() upper-bound size with actual size.
bb779bf [hlin09] Rename the filter function to filterRDD to follow the API consistency. Filter() is also kept.
ce1661f [Zongheng Yang] Fix slow take(): deserialize only up to necessary # of elements.
4dca9b1 [Shivaram Venkataraman] Merge pull request #106 from hlin09/hlin09
1220d92 [hlin09] Adds function numPartitions().
2326a65 [Shivaram Venkataraman] Use SPARK_LOCAL_DIRS to create tmp files
e119757 [hlin09] Minor fix.
9c24c8b [hlin09] Adds function countByKey().
48fce67 [hlin09] Adds countByValue().
6679eef [Sun Rui] Update documentation for join().
70586b4 [Sun Rui] Add join() to the RDD class.
e6fb999 [Zongheng Yang] Merge pull request #103 from shivaram/rlibdir-fix
a21f146 [Shivaram Venkataraman] Merge pull request #102 from hlin09/hlin09
32eb619 [Shivaram Venkataraman] Merge pull request #104 from sun-rui/add_keys_values
d8692e9 [Sun Rui] Add keys() and values() for the RDD class.
18b9be1 [Shivaram Venkataraman] Allow users to set where SparkR is installed This also adds a warning if somebody tries to call sparkR.init multiple times.
a17f135 [hlin09] Adds tests for flatMap and flatMapValues.
4bcf59b [hlin09] Adds function flatMapValues.
4a193ef [Zongheng Yang] Merge pull request #101 from ashutoshraina/master
60d22f2 [Ashutosh Raina] changed sbt version
5400793 [Zongheng Yang] Merge pull request #98 from shivaram/windows-fixes-build
36d61a7 [Shivaram Venkataraman] Merge pull request #97 from hlin09/hlin09
f7d7d89 [hlin09] Remove redundant code in test.
6bbe823 [hlin09] minor style fix.
9b47f3a [Shivaram Venkataraman] Merge pull request #100 from hnahak87/patch-1
7f6e4ea [Harihar Nahak] Update logistic_regression.R
a605047 [Shivaram Venkataraman] Merge pull request #99 from hlin09/makefile
323151d [hlin09] Fix yar flag in Makefile to remove build error in Maven.
8911897 [hlin09] Make reserialize() private function in package.
79aee73 [Shivaram Venkataraman] Add notes on how to build SparkR on windows
49a99e7 [Shivaram Venkataraman] Clean up some commented code
ddc271b [Shivaram Venkataraman] Only append file:/// to non empty jar paths
a53952e [Shivaram Venkataraman] Add windows build scripts
325b179 [hlin09] Merge remote-tracking branch 'upstream/master' into hlin09
daf5040 [hlin09] Add reserialize() before union if two RDDs are not both serialized.
536afb1 [hlin09] Add new function of union().
7044677 [Shivaram Venkataraman] Merge branch 'master' of https://github.com/amplab-extras/SparkR-pkg into windows-fixes
d22a02d [Zongheng Yang] Merge pull request #94 from shivaram/windows-fixes-stdin
51924f7 [Shivaram Venkataraman] Merge pull request #90 from oscaroboto/master
eb97d85 [Shivaram Venkataraman] Merge pull request #96 from sun-rui/add_clarification_readme
5a128f4 [Sun Rui] Add clarification on setting Spark master when launching the SparkR shell.
187526a [oscaroboto] Update sparkR.R
32c567b [Shivaram Venkataraman] Merge pull request #95 from concretevitamin/master
4cd2d5e [Zongheng Yang] Notes about spark-ec2.
1c28e3b [Shivaram Venkataraman] Merge branch 'master' of https://github.com/amplab-extras/SparkR-pkg into windows-fixes
8e8a029 [Zongheng Yang] Merge pull request #92 from shivaram/sparkr-yarn
721043b [Zongheng Yang] Update README.md with YARN instructions.
1681f58 [Shivaram Venkataraman] Use temporary files for input instead of stdin This fixes a bug for Windows where stdin would get truncated
b084314 [oscaroboto] removed ... from example
44c93d4 [oscaroboto] Added example to SparkR.R
be82dcc [Shivaram Venkataraman] Merge pull request #93 from hlin09/hlin09
868554d [oscaroboto] Update sparkR.R
488ac47 [hlin09] Add generated Rd file of previous added functions, distinct() and mapValues().
b2740ad [hlin09] Add test for filter all elements. Add filter() as alias.
08d3631 [hlin09] Minor style fixes.
2c0e34f [hlin09] Adds function Filter(), which extracts the elements that satisfy a predicate.
5951d3b [Shivaram Venkataraman] Remove SBT plugin
4e70ced [oscaroboto] changed ExecutorEnv to sparkExecutorEnvMap, to make it consistent with sparkEnvirMap
903d18a [oscaroboto] changed executorEnv to sparkExecutorEnvMap, will do the same in R
f97346e [oscaroboto] executorEnv to lower-case e
88a524e [oscaroboto] Added LD_LIBRARY_PATH to the ExecutorEnv. This is need so that the nodes can find libjvm.so, or if the master has a different LD_LIBRARY_PATH then the nodes. Make sure to export LD_LIBRARY_PATH that includes the path to libjvm.so in the nodes.
1d208ae [oscaroboto] added the YARN_CONF_DIR to the classpath
8a9b75c [oscaroboto] forgot to change hm and ee inside the for loops
579db58 [Shivaram Venkataraman] Merge pull request #91 from sun-rui/add_max_min
4381efa [Sun Rui] use reduce() to implemement max() and min().
a5459c5 [Shivaram Venkataraman] Consolidate yarn flags
86b04eb [Shivaram Venkataraman] Don't use quotes around yarn
bf0797f [Shivaram Venkataraman] Add dependency on spark yarn module
af5fe77 [Shivaram Venkataraman] Fix SBT build, add dependency tree plugin
4917607 [Sun Rui] Add maximum() and minimum() API to RDD.
51bbbe4 [Shivaram Venkataraman] Changes to make SparkR work with YARN
9d5e3ab [oscaroboto] a few stylistic changes. Also change vars to sparkEnvirMap and eevars to ExecutorEnv, to match sparkR.R
578f545 [oscaroboto] a few stylistic changes
39eea2f [oscaroboto] Modification to dynamically create a sparkContext with YARN. Added .setExecutorEnv to the sparkConf in createSparkContext within the RRDD object. This modification was made together with sparkR.R
17ec42e [oscaroboto] A modification to dynamically create a sparkContext with YARN. sparkR.R modified to pass custom Jar file names and EnvironmentEnv to the sparkConf. RRDD.scala was also modified to accept the new inputs to creatSparkContext.
624ac9d [Shivaram Venkataraman] Merge pull request #87 from sun-rui/SPARKR-125
4f213db [Shivaram Venkataraman] Merge pull request #89 from sun-rui/SPARKR-108
eb833c5 [Shivaram Venkataraman] Merge pull request #88 from hlin09/hlin09
07bf971 [Sun Rui] [SPARKR-108] Implement map-side reduction for reduceByKey().
4accba1 [hlin09] Fixes style and adds an optional param 'numPartition' in distinct().
80d303a [hlin09] typo fixed.
e37a9b5 [hlin09] Adds function distinct() and mapValues().
08dac06 [Sun Rui] [SPARKR-125] Get the iterator of the parent RDD before launching a R worker process in compute() of RRDD/PairwiseRRDD
c4ba53c [Shivaram Venkataraman] Merge pull request #85 from edwardt/master
72a9d27 [root] reorder to keep relative ordering the same
f3fcb10 [root] fix up build.sbt also to match pom.xml
5ecbe3e [root] Make spark verison configurable in build script per ISSUE122
a44e63d [Shivaram Venkataraman] Merge pull request #84 from sun-rui/SPARKR-94
fbb5663 [Sun Rui] Add {} to one-line functions and add a test case for lookup where no match is found.
95beb4e [Shivaram Venkataraman] Merge pull request #82 from edwardt/master
36776c5 [edwardt] missed one 0.9.0 revert
b26deec [Sun Rui] [SPARKR-94] Add a method to get an element of a pair RDD object by key.
1ba256e [edwardt] Keep 0.9.0 and says uses 1.1.0 by default
5380c43 [root] missed one version
21f74da [root] upgrade to spark version 1.1.0 to match lastest merge list
ddfcde9 [root] merge
67d067a [Shivaram Venkataraman] Merge pull request #81 from sun-rui/SparkR-117
993868f [Sun Rui] [SPARKR-117] Update Spark dependency to 1.1.0
d20661a [Zongheng Yang] Merge pull request #80 from sun-rui/master
0b2da9f [Sun Rui] Update Rd file and add a test case for mapPartitions.
5879648 [Sun Rui] Add mapPartitions() method to RDD for API consistency.
c033461 [Shivaram Venkataraman] Merge pull request #79 from sun-rui/fix-kmeans
f62b77e [Sun Rui] Adjust coding style.
b40911d [Sun Rui] Fix syntax error in examples/kmeans.R.
5304451 [Shivaram Venkataraman] Merge pull request #78 from sun-rui/master
70ffbfb [Sun Rui] Fix a bug that modifications to build.sbt won't trigger rebuilding.
a25696c [Shivaram Venkataraman] Merge pull request #76 from edwardt/addjira
b8bbd93 [edwardt] Update README.md
615d930 [edwardt] Update README.md
e522e69 [edwardt] Update README.md
03e6ced [edwardt] Update README.md
3007015 [root] don't check in gedit buffer file'
c35c9a6 [root] Add where to enter bugs ad feeback
469eae3 [edwardt] Update README.md
61b4a43 [edwardt] Update Makefile (style uniformity)
ce3337d [edwardt] Update README.md
7ff68fc [root] Merge branch 'master' of https://github.com/edwardt/SparkR-pkg
16353f5 [root] add links to devtools and install_github
513b9e5 [Shivaram Venkataraman] Merge pull request #72 from edwardt/master
31608a4 [edwardt] Update Makefile (style uniformity)
4ffe146 [root] Makefile: factor out SPARKR_VERSION to reduce potential copy&paste error; cp & rm called with -f in build/clean phase; .gitignore includes checkpoints and unit test log generated by run-tests.sh
715275f [Zongheng Yang] Merge pull request #68 from shivaram/master
90e2083 [Shivaram Venkataraman] Add return type to hasNext
8eb983d [Shivaram Venkataraman] Fix up comment
2206164 [Shivaram Venkataraman] Delete temporary files after they are read This change deletes temporary files used for communication between Rscript and the JVM once they have been completely read.
5881da7 [Zongheng Yang] Merge pull request #67 from shivaram/improve-shuffle
81251e2 [Shivaram Venkataraman] Address code review comments
a5f573f [Shivaram Venkataraman] Use a better list append in shuffles This is helpful in scenarios where we have a large number of values in a bucket
388e64d [Shivaram Venkataraman] Merge pull request #55 from RevolutionAnalytics/master
e1f95b6 [Zongheng Yang] Merge pull request #65 from concretevitamin/parallelize-fix
fc1a71a [Zongheng Yang] Fix that collect(parallelize(sc,1:72,15)) drops elements.
b8204c5 [Zongheng Yang] Minor: update a URL in README.
86f30c3 [Antonio Piccolboni] better fix for amplab-extras/SparkR-pkg#53
b3c318d [Antonio Piccolboni] delayed loading to have all namespaces available.
f323e97 [Antonio Piccolboni] tentative fix for amplab-extras/SparkR-pkg#53
6f82269 [Zongheng Yang] Merge pull request #48 from shivaram/master
8f433e5 [Shivaram Venkataraman] Move up Hadoop in pom.xml and add back protobufs As Hadoop 1.0.4 doesn't use protobufs, we can't exclude protobufs from Spark always. This change tries to order the dependencies so that the shader first picks up Hadoop's protobufs over Mesos.
bfe7e26 [Shivaram Venkataraman] Merge pull request #36 from RevolutionAnalytics/vectorize-examples
059ae41 [Antonio Piccolboni] and more formatting
9dbd531 [Antonio Piccolboni] more formatting per committer request
948738a [Antonio Piccolboni] converted tabs to spaces per project request
49f5f5a [Shivaram Venkataraman] Merge pull request #35 from shivaram/master
3eb5ad3 [Shivaram Venkataraman] on_failure -> after_failure in travis.yml
139bdee [Shivaram Venkataraman] Cache sbt, maven, ivy dependencies
4ebced2 [Shivaram Venkataraman] Merge pull request #34 from shivaram/master
8437061 [Shivaram Venkataraman] Exclude protobuf from Spark dependency in Maven This avoids pulling in multiple versions of protobuf from Mesos and Hadoop.
91aa527 [Antonio Piccolboni] vectorized version, 36s 10 slices 10^6 per slice. The older version takes 30 sec on 1/10th of data.
f137a57 [Antonio Piccolboni] for rstudio users
1f7ffb0 [Antonio Piccolboni] implemented using matrices and vectorized calls wherever possible
46b23df [Antonio Piccolboni] replace require with library
b15d7db [Antonio Piccolboni] faster parsing
8b7aeb3 [Antonio Piccolboni] 22x speed improvement, 3X mem impovement
c5bce07 [Zongheng Yang] Merge pull request #30 from shivaram/string-tests
21fa2d8 [Shivaram Venkataraman] Fix bug where serialized was not changed for RRRD Reason: When an RRDD is created in getJRDD we have converted any possibly unserialized RDD to a serialized RDD.
9d1ea20 [Shivaram Venkataraman] Merge branch 'master' of github.com:amplab/SparkR-pkg into string-tests
7b9348c [Shivaram Venkataraman] Add tests for partition with string keys Add two tests one with a string array and one from a textFile to test both codepaths
aacd726 [Shivaram Venkataraman] Update README with maven proxy instructions
803e62c [Shivaram Venkataraman] Merge pull request #28 from concretevitamin/master
7c093e6 [Zongheng Yang] Use inherits() to test an object's class.
061c591 [Shivaram Venkataraman] Merge pull request #26 from hafen/master
90f9fda [Ryan Hafen] Fix isRdd() to properly check for class
5b10cc7 [Zongheng Yang] Merge pull request #24 from shivaram/master
7014f83 [Shivaram Venkataraman] Remove unused transformers in maven's pom.xml
b00cea5 [Shivaram Venkataraman] Add support for a Maven build
11ec9b2 [Shivaram Venkataraman] Merge pull request #12 from concretevitamin/pipelined
6b18a90 [Zongheng Yang] Merge branch 'master' into pipelined
57127b8 [Zongheng Yang] Merge pull request #23 from shivaram/master
1ac3940 [Zongheng Yang] Review feedback.
a06fb34 [Zongheng Yang] Remove outdated comment.
0a1fc13 [Shivaram Venkataraman] Fixes for using SparkR with Hadoop2. 1. Exclude ASM, Netty from Hadoop similar to Spark. 2. Concat services files to ensure HDFS filesystems work. 3. Update README with an example
9a1db44 [Zongheng Yang] Merge pull request #22 from shivaram/master
e462448 [Shivaram Venkataraman] Use `$` for calling `put` instead of .jrcall
ed4559a [Shivaram Venkataraman] Add support for passing Spark environment vars This change creates a new `createSparkContext` method in RRDD as we can't pass Map<String, String> through rJava. Also use SPARK_MEM in local mode to increase heap size and update the README with some examples.
10228fb [Shivaram Venkataraman] Merge pull request #20 from concretevitamin/digit-ex
1398d9f [Zongheng Yang] Add linear_solver_mnist to examples/.
d484c2a [Zongheng Yang] Add tests for actions on PipelinedRDD.
d9cb95c [Zongheng Yang] Add setCheckpointDir() to context.R; comment fix.
f8bc8a9 [Zongheng Yang] Minor edits per Shivaram's comments.
8cd67f7 [Shivaram Venkataraman] Merge pull request #15 from shivaram/master
d4468a9 [Shivaram Venkataraman] Remove trailing comma
e2714b8 [Shivaram Venkataraman] Remove Apache Staging repo and update README
334eace [Zongheng Yang] Add a multi-transformation test to benchmark on pipelining.
5650ad7 [Zongheng Yang] Put serialized field inside env for both RDD and PipelinedRDD.
0b9e8bb [Zongheng Yang] First cut at PipelinedRDD.
a4c431e [Zongheng Yang] Add `isCheckpointed` field and checkpoint().
dac0795 [Zongheng Yang] Minor inline comment style fix.
bfb8e26 [Zongheng Yang] Add isCached field (inside an env) and unpersist().
295bff6 [Zongheng Yang] Merge pull request #11 from shivaram/master
4cb209c [Shivaram Venkataraman] Search rLibDir in worker before libPaths This ensures we pick up the SparkR intended and not an older version installed on the same machine
ef198ff [Zongheng Yang] Merge pull request #10 from shivaram/unit-tests
e0557a8 [Shivaram Venkataraman] Update travis to install plyr
8b18bc1 [Shivaram Venkataraman] Merge branch 'master' of github.com:amplab/SparkR-pkg into unit-tests
4a9ca31 [Shivaram Venkataraman] Use smaller broadcast and plyr instead of Matrix Matrix package takes around 2s to load and slows down unit tests.
21c6a61 [Zongheng Yang] Merge pull request #8 from shivaram/master
08c2947 [Shivaram Venkataraman] Move dev install directory to front of libPaths
bda42ee [Shivaram Venkataraman] Merge pull request #7 from JoshRosen/travis
cc5f5c0 [Josh Rosen] Add Travis CI integration (using craigcitro/r-travis)
b6c864b [Shivaram Venkataraman] Merge pull request #6 from concretevitamin/env-style-fix
4fcef22 [Zongheng Yang] Use one style ($) for accessing names in environments.
8a948c6 [Shivaram Venkataraman] Merge pull request #4 from shivaram/master
24978eb [Shivaram Venkataraman] Update README to use install_github
8899db4 [Shivaram Venkataraman] Update TODO.md
91792de [Shivaram Venkataraman] Update Spark requirements
f34f4bf [Shivaram Venkataraman] Check tests for failures and output error msg
cd750d3 [Shivaram Venkataraman] Update run-tests to use new path
1877b7c [Shivaram Venkataraman] Unset R_TESTS to make tests work with R CMD check Also silence Akka remoting logs and update Makefile to build on log4j changes
e60e18a [Shivaram Venkataraman] Update README to remove Spark installation notes
4450189 [Shivaram Venkataraman] Add Spark 0.9 dependency from Apache Staging Also clean up assembly jar from inst on make clean
5eb2131 [Shivaram Venkataraman] Update repo path in README
ec8210e [Shivaram Venkataraman] Remove broadcastId hack as it is public in Spark
9f0e080 [Shivaram Venkataraman] Merge branch 'install-github'
5c88fbd [Shivaram Venkataraman] Add helper script to run tests
77450a1 [Shivaram Venkataraman] Remove dependency on Spark Logging
6cb00d1 [Shivaram Venkataraman] Update README and add helper script install-dev.sh
28346ca [Shivaram Venkataraman] Only normalize if SPARK_HOME is not empty
0fd6571 [Shivaram Venkataraman] Normalize SPARK_HOME before passing it
ff96d5c [Shivaram Venkataraman] Pass in SPARK_HOME and jar file path
34c4dce [Shivaram Venkataraman] Move src into pkg and update Makefile This enables the package to be installed using install_github using devtools and automates the build procedure.
b25afed [Shivaram Venkataraman] Change package name to edu.berkeley.cs.amplab
c691464 [Shivaram Venkataraman] Add Apache 2.0 License file
27a4a4b [Shivaram Venkataraman] Add notes on how to compile roxygen2 docs
ca63844 [Shivaram Venkataraman] Add broadcast documentation Also generate documentation for sample, takeSample etc.
e4dd976 [Shivaram Venkataraman] Update TODO.md
e42d435 [Shivaram Venkataraman] Add support for broadcast variables
6b638e7 [Shivaram Venkataraman] Add the assembly jar to SparkContext
bf24e32 [Shivaram Venkataraman] Merge branch 'master' of github.com:amplab/SparkR-pkg
43c05ce [Zongheng Yang] Fix a flaky/incorrect test for sampleRDD().
c6a9dfc [Zongheng Yang] Initial port of the kmeans example.
6885581 [Zongheng Yang] Implement element-level sampleRDD() and takeSample() with tests.
d3a4987 [Zongheng Yang] Add a test for lapplyPartitionsWithIndex on pairwise RDD.
c7899c1 [Zongheng Yang] Add lapplyPartitionsWithIndex, with a test and an alias function.
a9a7436 [Shivaram Venkataraman] Add DFC example from Tselil, Benjamin and Jonah
fbc5a95 [Zongheng Yang] Implement take() and takeSample().
c4a3409 [Shivaram Venkataraman] Use RDD instead of RRDD
dfad3f5 [Zongheng Yang] Add test_utils.R: a unit test for convertJListToRList().
a45227d [Zongheng Yang] Update .gitignore.
238fe6e [Zongheng Yang] Add a unit test for textFile().
a88898b [Zongheng Yang] Rename test_rrd to test_rrdd
10c8baa [Shivaram Venkataraman] Make SparkR work as a standalone package. Changes include: 1. Adding a new `sbt` project that builds RRDD.scala 2. Change the onLoad functions to load the assembly jar for SparkR 3. Set rLibDir in RRDD.scala and worker.R to load things correctly
78adcd8 [Shivaram Venkataraman] Add a gitignore
ca6108f [Shivaram Venkataraman] Merge branch 'SparkR-scalacode' of ../SparkR
999bd61 [Shivaram Venkataraman] Update collectPartition in R and use ClassTag
c58f63e [Shivaram Venkataraman] Update collectPartition in R and use ClassTag
48265fd [Shivaram Venkataraman] Use new version of collectPartitions in take
d4fe086 [Shivaram Venkataraman] Move collectPartitions to JavaRDDLike Also remove numPartitions in JavaRDD and update R code
bfecd7b [Shivaram Venkataraman] Scala 2.10 changes 1. Update sparkR script 2. Use classTag instead of classManifest
092a4b3 [Shivaram Venkataraman] Add combineByKey, update TODO
ac0d81d [Shivaram Venkataraman] Add more documentation
d1dc3fa [Shivaram Venkataraman] Add more documentation
c515e3a [Shivaram Venkataraman] Update TODO
db56a34 [Shivaram Venkataraman] Add a test case for include package
41cea51 [Shivaram Venkataraman] Ensure all parent environments are serialized. Also add a test case with an inline function
a978e84 [Shivaram Venkataraman] Add support to include packages in the worker
12bf8ce [Shivaram Venkataraman] Add support to include packages in the worker
fb7e72c [Shivaram Venkataraman] Cleanup TODO
16ac314 [Shivaram Venkataraman] Add documentation for functions in context, sparkR
85b1d25 [Shivaram Venkataraman] Set license to Apache
88f1101 [Shivaram Venkataraman] Add unit test running instructions
c40768e [Shivaram Venkataraman] Update TODO
0c7efbf [Shivaram Venkataraman] Refactor RRDD.scala and add comments to functions
5880d42 [Shivaram Venkataraman] Refactor RRDD.scala and add comments to functions
2dee36c [Shivaram Venkataraman] Remove empty test file
a82219b [Shivaram Venkataraman] Update TODOs
5db00dc [Shivaram Venkataraman] Add reduceByKey, groupByKey and refactor shuffle Other changes include 1. Adding unit tests for basic RDD functions and shuffle 2. Add a word count example 3. Change the dependency serialization to handle double loading of SparkR package 4. Allow partitionBy to operate on any RDDs to create pair-wise RDD.
f196479 [Shivaram Venkataraman] Add reduceByKey, groupByKey and refactor shuffle Other changes include 1. Adding unit tests for basic RDD functions and shuffle 2. Add a word count example 3. Change the dependency serialization to handle double loading of SparkR package 4. Allow partitionBy to operate on any RDDs to create pair-wise RDD.
987e36f [Shivaram Venkataraman] Add perf todo
0b03265 [Shivaram Venkataraman] Update TODO with testing, docs todo
685aaad [Zongheng Yang] First cut at refactoring worker.R. Remove pairwiseWorker.R.
95b9ddc [Zongheng Yang] First cut at refactoring worker.R. Remove pairwiseWorker.R.
4f00895 [Zongheng Yang] Remove the unnecessary `pairwise' flag in RRDD class. Reasons:
75d36d9 [Zongheng Yang] Working versions: partitionBy() and collectPartition() for RRDD.
e3fbd9d [Zongheng Yang] Working versions: partitionBy() and collectPartition() for RRDD.
67a4335 [Zongheng Yang] Add unit test for parallelize() and collect() pairwise data.
100ae65 [Zongheng Yang] Properly parallelize() and collect() pairwise data.
cd0a5e2 [Zongheng Yang] Properly parallelize() and collect() pairwise data.
aea16c3 [Zongheng Yang] WIP: second cut at partitionBy. Running into R/Scala communication issues.
45eb943 [Zongheng Yang] WIP: second cut at partitionBy. Running into R/Scala communication issues.
11c893b [Zongheng Yang] WIP: need to figure out the logic of (whether or not) shipping a hash func
82c201a [Zongheng Yang] WIP: need to figure out the logic of (whether or not) shipping a hash func
b3bfad2 [Zongheng Yang] Update TODO: take() done.
0e45293 [Zongheng Yang] Add ability to parallelize key-val collections in R.
f60406a [Zongheng Yang] Add ability to parallelize key-val collections in R.
7d7fe3b [Zongheng Yang] Re-implement take(): take a partition at a time and append.
a054e55 [Zongheng Yang] Fix take() tests(): mode difference.
9de0935 [Zongheng Yang] Implement take() for RRDD.
1e4427e [Zongheng Yang] Implement take() for RRDD.
ec3cd67 [Shivaram Venkataraman] Use temp file in Spark to pipe output
417aaed [Shivaram Venkataraman] Use temp file in Spark to pipe output
bb0a3c3 [Shivaram Venkataraman] Add conf directory to classpath
9594d8a [Shivaram Venkataraman] Clean up LR example
3b26b58 [Shivaram Venkataraman] Add a list of things to do.
cabce68 [Shivaram Venkataraman] Fix warnings from package check
fde3f9c [Shivaram Venkataraman] Flatten by default and disable recursive unlist
ab2e061 [Shivaram Venkataraman] Create LIB_DIR before installing SparkR package
555220a [Shivaram Venkataraman] Add readme and update Makefile
1319cda [Shivaram Venkataraman] Make standalone programs run with sparkR
ae19fa8 [Shivaram Venkataraman] Add support for cache and use `tempfile`
4e89ca4 [Shivaram Venkataraman] Add support for apply, reduce, count Also serialize closures using `save` and add two examples
25a0bea [Shivaram Venkataraman] Add support for apply, reduce, count Also serialize closures using `save` and add two examples
f50223f [Zongheng Yang] Make parallelize() and collect() use lists. Add a few more tests for them.
fc7693f [Zongheng Yang] Refactor and enhance the previously added unit test a little bit.
6de9b81 [Zongheng Yang] Add a simple unit test for parallelize().
8b95155 [Zongheng Yang] Add testthat skeleton infrastructure
ef305bf [Zongheng Yang] parallelize() followed by collect() now work for vectors/lists of strings and numerics (should work for other primitives as well).
dc16af4 [Zongheng Yang] Comment: toArray() allocates memory for a copy
f50121e [Zongheng Yang] Make parallelize() return JavaRDD[Array[Byte]]. Add RRDD.scala with a helper function in the singleton object.
46eb063 [Zongheng Yang] Make parallelize() return JavaRDD[Array[Byte]]. Add RRDD.scala with a helper function in the singleton object.
6b4938a [Zongheng Yang] parallelize(): a raw can be parallelized by JavaSparkContext and get back JavaRDD
978aa0f [Zongheng Yang] Add parallelize() skeleton: only return serialized slices now
84c1fd2 [Zongheng Yang] Use .jsimplify() to get around generic List's get() type erasure problem
f16b891 [Zongheng Yang] Convert a few reflectionc alls to .jcall
1284c13 [Zongheng Yang] WIP on collect(): JavaListToRList() failed with errors.
4c2e516 [Zongheng Yang] Add simple prototype of S4 class RRDD. Make TextFile() returns an RRDD.
82aa17a [Zongheng Yang] Add textFile()
83ce63f [Zongheng Yang] Create a JavaSparkContext and save it in .sparkEnv using sparkR.init()
01cdf0e [Zongheng Yang] Add Makefile for SparkR
fc9cae2 [Shivaram Venkataraman] Add skeleton R package
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Use `sqlContext` in PySpark shell, make it consistent with SQL programming guide. `sqlCtx` is also kept for compatibility.
Author: Davies Liu <davies@databricks.com>
Closes #5425 from davies/sqlCtx and squashes the following commits:
af67340 [Davies Liu] sqlCtx -> sqlContext
15a278f [Davies Liu] use sqlContext in python shell
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This builds on my earlier pull requests and turns on the explicit type checking in scalastyle.
Author: Reynold Xin <rxin@databricks.com>
Closes #5342 from rxin/SPARK-6428 and squashes the following commits:
7b531ab [Reynold Xin] import ordering
2d9a8a5 [Reynold Xin] jl
e668b1c [Reynold Xin] override
9b9e119 [Reynold Xin] Parenthesis.
82e0cf5 [Reynold Xin] [SPARK-6428] Turn on explicit type checking for public methods.
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Fix the import in sql example.
Author: Davies Liu <davies@databricks.com>
Closes #5230 from davies/fix_sql_example and squashes the following commits:
7ecc5f4 [Davies Liu] fix sql example
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Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes #5056 from vanzin/SPARK-6371 and squashes the following commits:
63220df [Marcelo Vanzin] Merge branch 'master' into SPARK-6371
6506f75 [Marcelo Vanzin] Use more fine-grained exclusion.
178ba71 [Marcelo Vanzin] Oops.
75b2375 [Marcelo Vanzin] Exclude VertexRDD in MiMA.
a45a62c [Marcelo Vanzin] Work around MIMA warning.
1d8a670 [Marcelo Vanzin] Re-group jetty exclusion.
0e8e909 [Marcelo Vanzin] Ignore ml, don't ignore graphx.
cef4603 [Marcelo Vanzin] Indentation.
296cf82 [Marcelo Vanzin] [SPARK-6371] [build] Update version to 1.4.0-SNAPSHOT.
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hashCode when equals is defined.
I want to add a checker to turn public type checking on, since future pull requests can accidentally expose a non-public type. This is the first cleanup task.
Author: Reynold Xin <rxin@databricks.com>
Closes #5102 from rxin/mllib-hashcode-publicmethodtypes and squashes the following commits:
617f19e [Reynold Xin] Fixed Scala compilation error.
52bc2d5 [Reynold Xin] [MLlib] Added explicit type for public methods and implemented hashCode when equals is defined.
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Added Scala, Java and Python streaming examples showing DataFrame and SQL operations within streaming.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes #4975 from tdas/streaming-sql-examples and squashes the following commits:
705cba1 [Tathagata Das] Fixed python lint error
75a3fad [Tathagata Das] Fixed python lint error
5fbf789 [Tathagata Das] Removed empty lines at the end
874b943 [Tathagata Das] Added examples streaming + sql examples.
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Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc.
Author: Sean Owen <sowen@cloudera.com>
Closes #4950 from srowen/SPARK-6225 and squashes the following commits:
3080972 [Sean Owen] Ordered imports: Java, Scala, 3rd party, Spark
c67985b [Sean Owen] Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc.
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JIRA: https://issues.apache.org/jira/browse/SPARK-6177
Add comment to introduce coalesce to LDA example to avoid the possible massive partitions from `sc.textFile`.
sc.textFile will create RDD with one partition for each file, and the possible massive partitions downgrades LDA performance.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes #4899 from hhbyyh/adjustPartition and squashes the following commits:
a499630 [Yuhao Yang] update comment
9a2d7b6 [Yuhao Yang] move to comment
f7fd5d4 [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into adjustPartition
26a564a [Yuhao Yang] add coalesce to LDAExample
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1. Removed unnecessary import
2. Modified usage print since user must specify the --numEPart parameter as it is required in Analytics.main
Author: Jacky Li <jacky.likun@huawei.com>
Closes #4917 from jackylk/import and squashes the following commits:
6c07682 [Jacky Li] fix comment
c0df8f2 [Jacky Li] fix scalastyle
b6235e6 [Jacky Li] fix for comment
87be83b [Jacky Li] remove default value description
5caae76 [Jacky Li] remove import and modify usage
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Option 1 of 2: Convert spark-parent module name to spark-parent_2.10 / spark-parent_2.11
Author: Sean Owen <sowen@cloudera.com>
Closes #4912 from srowen/SPARK-6182.1 and squashes the following commits:
eff60de [Sean Owen] Convert spark-parent module name to spark-parent_2.10 / spark-parent_2.11
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Usage info in documentation does not match actual usage info.
Doc string usage says ```Usage: network_wordcount.py <zk> <topic>``` whereas the actual usage is ```Usage: kafka_wordcount.py <zk> <topic>```
Author: Kenneth Myers <myerske@us.ibm.com>
Closes #4852 from kennethmyers/kafka_wordcount_documentation_fix and squashes the following commits:
3855325 [Kenneth Myers] Fixed usage string in documentation.
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Small changes, please help to review, thanks a lot.
Author: Saisai Shao <saisai.shao@intel.com>
Closes #4837 from jerryshao/doc-fix and squashes the following commits:
545291a [Saisai Shao] Fix some error docs in streaming examples
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modified to adhere to accepted coding standards as pointed by tdas in PR #3844
Author: prabs <prabsmails@gmail.com>
Author: Prabeesh K <prabsmails@gmail.com>
Closes #4178 from prabeesh/master and squashes the following commits:
bd2cb49 [Prabeesh K] adress the comment
ccc0765 [prabs] adress the comment
46f9619 [prabs] adress the comment
c035bdc [prabs] adress the comment
22dd7f7 [prabs] address the comments
0cc67bd [prabs] adress the comment
838c38e [prabs] adress the comment
cd57029 [prabs] address the comments
66919a3 [Prabeesh K] changed MqttDefaultFilePersistence to MemoryPersistence
5857989 [prabs] modified to adhere to accepted coding standards
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Add parameter parsing in FPGrowth example app in Scala and Java
And a sample data file is added in data/mllib folder
Author: Jacky Li <jacky.likun@huawei.com>
Closes #4714 from jackylk/parameter and squashes the following commits:
8c478b3 [Jacky Li] fix according to comments
3bb74f6 [Jacky Li] make FPGrowth exampl app take parameters
f0e4d10 [Jacky Li] make FPGrowth exampl app take parameters
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Author: Makoto Fukuhara <fukuo33@gmail.com>
Closes #4724 from fukuo33/fix-typo and squashes the following commits:
8c806b9 [Makoto Fukuhara] fix typo.
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fix typo: it should be "default:" instead of "default;"
Author: Jacky Li <jackylk@users.noreply.github.com>
Closes #4713 from jackylk/patch-10 and squashes the following commits:
15daf2e [Jacky Li] [MLlib] fix typo
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For SPARK-5867:
* The spark.ml programming guide needs to be updated to use the new SQL DataFrame API instead of the old SchemaRDD API.
* It should also include Python examples now.
For SPARK-5892:
* Fix Python docs
* Various other cleanups
BTW, I accidentally merged this with master. If you want to compile it on your own, use this branch which is based on spark/branch-1.3 and cherry-picks the commits from this PR: [https://github.com/jkbradley/spark/tree/doc-review-1.3-check]
CC: mengxr (ML), davies (Python docs)
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #4675 from jkbradley/doc-review-1.3 and squashes the following commits:
f191bb0 [Joseph K. Bradley] small cleanups
e786efa [Joseph K. Bradley] small doc corrections
6b1ab4a [Joseph K. Bradley] fixed python lint test
946affa [Joseph K. Bradley] Added sample data for ml.MovieLensALS example. Changed spark.ml Java examples to use DataFrames API instead of sql()
da81558 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into doc-review-1.3
629dbf5 [Joseph K. Bradley] Updated based on code review: * made new page for old migration guides * small fixes * moved inherit_doc in python
b9df7c4 [Joseph K. Bradley] Small cleanups: toDF to toDF(), adding s for string interpolation
34b067f [Joseph K. Bradley] small doc correction
da16aef [Joseph K. Bradley] Fixed python mllib docs
8cce91c [Joseph K. Bradley] GMM: removed old imports, added some doc
695f3f6 [Joseph K. Bradley] partly done trying to fix inherit_doc for class hierarchies in python docs
a72c018 [Joseph K. Bradley] made ChiSqTestResult appear in python docs
b05a80d [Joseph K. Bradley] organize imports. doc cleanups
e572827 [Joseph K. Bradley] updated programming guide for ml and mllib
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In the previous version, PIC stores clustering assignments as an `RDD[(Long, Int)]`. This is mapped to `RDD<Tuple2<Object, Object>>` in Java and hence Java users have to cast types manually. We should either create a new method called `javaAssignments` that returns `JavaRDD[(java.lang.Long, java.lang.Int)]` or wrap the result pair in a class. I chose the latter approach in this PR. Now assignments are stored as an `RDD[Assignment]`, where `Assignment` is a class with `id` and `cluster`.
Similarly, in FPGrowth, the frequent itemsets are stored as an `RDD[(Array[Item], Long)]`, which is mapped to `RDD<Tuple2<Object, Object>>`. Though we provide a "Java-friendly" method `javaFreqItemsets` that returns `JavaRDD[(Array[Item], java.lang.Long)]`. It doesn't really work because `Array[Item]` is mapped to `Object` in Java. So in this PR I created a class `FreqItemset` to wrap the results. It has `items` and `freq`, as well as a `javaItems` method that returns `List<Item>` in Java.
I'm not certain that the names I chose are proper: `Assignment`/`id`/`cluster` and `FreqItemset`/`items`/`freq`. Please let me know if there are better suggestions.
CC: jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #4695 from mengxr/SPARK-5900 and squashes the following commits:
865b5ca [Xiangrui Meng] make Assignment serializable
cffa96e [Xiangrui Meng] fix test
9c0e590 [Xiangrui Meng] remove unused Tuple2
1b9db3d [Xiangrui Meng] make PIC and FPGrowth Java-friendly
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Updated PIC user guide to reflect API changes and added a simple Java example. The API is still not very Java-friendly. I created SPARK-5990 for this issue.
Author: Xiangrui Meng <meng@databricks.com>
Closes #4680 from mengxr/SPARK-5897 and squashes the following commits:
847d216 [Xiangrui Meng] apache header
87719a2 [Xiangrui Meng] remove PIC image
2dd921f [Xiangrui Meng] update PIC user guide and add a Java example
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The API is still not very Java-friendly because `Array[Item]` in `freqItemsets` is recognized as `Object` in Java. We might want to define a case class to wrap the return pair to make it Java friendly.
Author: Xiangrui Meng <meng@databricks.com>
Closes #4661 from mengxr/SPARK-5519 and squashes the following commits:
58ccc25 [Xiangrui Meng] add user guide with example code for fp-growth
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Although we've migrated to the DataFrame API, lots of code still uses `rdd` or `srdd` as local variable names. This PR tries to address these naming inconsistencies and some other minor DataFrame related style issues.
<!-- Reviewable:start -->
[<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/4670)
<!-- Reviewable:end -->
Author: Cheng Lian <lian@databricks.com>
Closes #4670 from liancheng/df-cleanup and squashes the following commits:
3e14448 [Cheng Lian] Cleans up DataFrame variable names and toDF() calls
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This patch bring the pull based progress API into Python, also a example in Python.
Author: Davies Liu <davies@databricks.com>
Closes #3027 from davies/progress_api and squashes the following commits:
b1ba984 [Davies Liu] fix style
d3b9253 [Davies Liu] add tests, mute the exception after stop
4297327 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api
969fa9d [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api
25590c9 [Davies Liu] update with Java API
360de2d [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api
c0f1021 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api
023afb3 [Davies Liu] add Python API and example for progress API
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This PR allow Python users to set params in constructors and in setParams, where we use decorator `keyword_only` to force keyword arguments. The trade-off is discussed in the design doc of SPARK-4586.
Generated doc:
![screen shot 2015-02-12 at 3 06 58 am](https://cloud.githubusercontent.com/assets/829644/6166491/9cfcd06a-b265-11e4-99ea-473d866634fc.png)
CC: davies rxin
Author: Xiangrui Meng <meng@databricks.com>
Closes #4564 from mengxr/py-pipeline-kw and squashes the following commits:
fedf720 [Xiangrui Meng] use toDF
d565f2c [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into py-pipeline-kw
cbc15d3 [Xiangrui Meng] fix style
5032097 [Xiangrui Meng] update pipeline signature
950774e [Xiangrui Meng] simplify keyword_only and update constructor/setParams signatures
fdde5fc [Xiangrui Meng] fix style
c9384b8 [Xiangrui Meng] fix sphinx doc
8e59180 [Xiangrui Meng] add setParams and make constructors take params, where we force keyword args
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Currently, Spark Streaming Programming Guide after updateStateByKey explanation links to file stateful_network_wordcount.py and note "For the complete Scala code ..." for any language tab selected. This is an incoherence.
I've changed the guide and link its pertinent example file. JavaStatefulNetworkWordCount.java example was not created so I added to the commit.
Author: gasparms <gmunoz@stratio.com>
Closes #4589 from gasparms/feature/streaming-guide and squashes the following commits:
7f37f89 [gasparms] More style changes
ec202b0 [gasparms] Follow spark style guide
f527328 [gasparms] Improve example to look like scala example
4d8785c [gasparms] Remove throw exception
e92e6b8 [gasparms] Fix incoherence
92db405 [gasparms] Fix Streaming Programming Guide. Change files according the selected language
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- The old implicit would convert RDDs directly to DataFrames, and that added too many methods.
- toDataFrame -> toDF
- Dsl -> functions
- implicits moved into SQLContext.implicits
- addColumn -> withColumn
- renameColumn -> withColumnRenamed
Python changes:
- toDataFrame -> toDF
- Dsl -> functions package
- addColumn -> withColumn
- renameColumn -> withColumnRenamed
- add toDF functions to RDD on SQLContext init
- add flatMap to DataFrame
Author: Reynold Xin <rxin@databricks.com>
Author: Davies Liu <davies@databricks.com>
Closes #4556 from rxin/SPARK-5752 and squashes the following commits:
5ef9910 [Reynold Xin] More fix
61d3fca [Reynold Xin] Merge branch 'df5' of github.com:davies/spark into SPARK-5752
ff5832c [Reynold Xin] Fix python
749c675 [Reynold Xin] count(*) fixes.
5806df0 [Reynold Xin] Fix build break again.
d941f3d [Reynold Xin] Fixed explode compilation break.
fe1267a [Davies Liu] flatMap
c4afb8e [Reynold Xin] style
d9de47f [Davies Liu] add comment
b783994 [Davies Liu] add comment for toDF
e2154e5 [Davies Liu] schema() -> schema
3a1004f [Davies Liu] Dsl -> functions, toDF()
fb256af [Reynold Xin] - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed
0dd74eb [Reynold Xin] [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFrames
97dd47c [Davies Liu] fix mistake
6168f74 [Davies Liu] fix test
1fc0199 [Davies Liu] fix test
a075cd5 [Davies Liu] clean up, toPandas
663d314 [Davies Liu] add test for agg('*')
9e214d5 [Reynold Xin] count(*) fixes.
1ed7136 [Reynold Xin] Fix build break again.
921b2e3 [Reynold Xin] Fixed explode compilation break.
14698d4 [Davies Liu] flatMap
ba3e12d [Reynold Xin] style
d08c92d [Davies Liu] add comment
5c8b524 [Davies Liu] add comment for toDF
a4e5e66 [Davies Liu] schema() -> schema
d377fc9 [Davies Liu] Dsl -> functions, toDF()
6b3086c [Reynold Xin] - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed
807e8b1 [Reynold Xin] [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFrames
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Author: sboeschhuawei <stephen.boesch@huawei.com>
Closes #4495 from javadba/picexamples and squashes the following commits:
3c84b14 [sboeschhuawei] PIC Examples updates from Xiangrui's comments round 5
2878675 [sboeschhuawei] Fourth round with xiangrui on PICExample
d7ac350 [sboeschhuawei] Updates to PICExample from Xiangrui's comments round 3
d7f0cba [sboeschhuawei] Updates to PICExample from Xiangrui's comments round 3
cef28f4 [sboeschhuawei] Further updates to PICExample from Xiangrui's comments
f7ff43d [sboeschhuawei] Update to PICExample from Xiangrui's comments
efeec45 [sboeschhuawei] Update to PICExample from Xiangrui's comments
03e8de4 [sboeschhuawei] Added PICExample
c509130 [sboeschhuawei] placeholder for pic examples
5864d4a [sboeschhuawei] placeholder for pic examples
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Deprecate inferSchema() and applySchema(), use createDataFrame() instead, which could take an optional `schema` to create an DataFrame from an RDD. The `schema` could be StructType or list of names of columns.
Author: Davies Liu <davies@databricks.com>
Closes #4498 from davies/create and squashes the following commits:
08469c1 [Davies Liu] remove Scala/Java API for now
c80a7a9 [Davies Liu] fix hive test
d1bd8f2 [Davies Liu] cleanup applySchema
9526e97 [Davies Liu] createDataFrame from RDD with columns
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Trivial. add sc stop and reorganize import
https://issues.apache.org/jira/browse/SPARK-5717
Author: JqueryFan <firing@126.com>
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes #4503 from hhbyyh/scstop and squashes the following commits:
7837a2c [JqueryFan] revert import change
2e85cc1 [Yuhao Yang] add stop and reorganize import
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Changes
- Added example
- Added a critical unit test that verifies that offset ranges can be recovered through checkpoints
Might add more changes.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes #4384 from tdas/new-kafka-fixes and squashes the following commits:
7c931c3 [Tathagata Das] Small update
3ed9284 [Tathagata Das] updated scala doc
83d0402 [Tathagata Das] Added JavaDirectKafkaWordCount example.
26df23c [Tathagata Das] Updates based on PR comments from Cody
e4abf69 [Tathagata Das] Scala doc improvements and stuff.
bb65232 [Tathagata Das] Fixed test bug and refactored KafkaStreamSuite
50f2b56 [Tathagata Das] Added Java API and added more Scala and Java unit tests. Also updated docs.
e73589c [Tathagata Das] Minor changes.
4986784 [Tathagata Das] Added unit test to kafka offset recovery
6a91cab [Tathagata Das] Added example
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This is the LDA user guide from jkbradley with Java and Scala code example.
Author: Xiangrui Meng <meng@databricks.com>
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #4465 from mengxr/lda-guide and squashes the following commits:
6dcb7d1 [Xiangrui Meng] update java example in the user guide
76169ff [Xiangrui Meng] update java example
36c3ae2 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into lda-guide
c2a1efe [Joseph K. Bradley] Added LDA programming guide, plus Java example (which is in the guide and probably should be removed).
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Author: Xiangrui Meng <meng@databricks.com>
Closes #4442 from mengxr/java6-fix and squashes the following commits:
2098500 [Xiangrui Meng] fix a compilation error with java 6
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This is part (1a) of the updates from the design doc in [https://docs.google.com/document/d/1BH9el33kBX8JiDdgUJXdLW14CA2qhTCWIG46eXZVoJs]
**UPDATE**: Most of the APIs are being kept private[spark] to allow further discussion. Here is a list of changes which are public:
* new output columns: rawPrediction, probabilities
* The “score” column is now called “rawPrediction”
* Classifiers now provide numClasses
* Params.get and .set are now protected instead of private[ml].
* ParamMap now has a size method.
* new classes: LinearRegression, LinearRegressionModel
* LogisticRegression now has an intercept.
### Sketch of APIs (most of which are private[spark] for now)
Abstract classes for learning algorithms (+ corresponding Model abstractions):
* Classifier (+ ClassificationModel)
* ProbabilisticClassifier (+ ProbabilisticClassificationModel)
* Regressor (+ RegressionModel)
* Predictor (+ PredictionModel)
* *For all of these*:
* There is no strongly typed training-time API.
* There is a strongly typed test-time (prediction) API which helps developers implement new algorithms.
Concrete classes: learning algorithms
* LinearRegression
* LogisticRegression (updated to use new abstract classes)
* Also, removed "score" in favor of "probability" output column. Changed BinaryClassificationEvaluator to match. (SPARK-5031)
Other updates:
* params.scala: Changed Params.set/get to be protected instead of private[ml]
* This was needed for the example of defining a class from outside of the MLlib namespace.
* VectorUDT: Will later change from private[spark] to public.
* This is needed for outside users to write their own validateAndTransformSchema() methods using vectors.
* Also, added equals() method.f
* SPARK-4942 : ML Transformers should allow output cols to be turned on,off
* Update validateAndTransformSchema
* Update transform
* (Updated examples, test suites according to other changes)
New examples:
* DeveloperApiExample.scala (example of defining algorithm from outside of the MLlib namespace)
* Added Java version too
Test Suites:
* LinearRegressionSuite
* LogisticRegressionSuite
* + Java versions of above suites
CC: mengxr etrain shivaram
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #3637 from jkbradley/ml-api-part1 and squashes the following commits:
405bfb8 [Joseph K. Bradley] Last edits based on code review. Small cleanups
fec348a [Joseph K. Bradley] Added JavaDeveloperApiExample.java and fixed other issues: Made developer API private[spark] for now. Added constructors Java can understand to specialized Param types.
8316d5e [Joseph K. Bradley] fixes after rebasing on master
fc62406 [Joseph K. Bradley] fixed test suites after last commit
bcb9549 [Joseph K. Bradley] Fixed issues after rebasing from master (after move from SchemaRDD to DataFrame)
9872424 [Joseph K. Bradley] fixed JavaLinearRegressionSuite.java Java sql api
f542997 [Joseph K. Bradley] Added MIMA excludes for VectorUDT (now public), and added DeveloperApi annotation to it
216d199 [Joseph K. Bradley] fixed after sql datatypes PR got merged
f549e34 [Joseph K. Bradley] Updates based on code review. Major ones are: * Created weakly typed Predictor.train() method which is called by fit() so that developers do not have to call schema validation or copy parameters. * Made Predictor.featuresDataType have a default value of VectorUDT. * NOTE: This could be dangerous since the FeaturesType type parameter cannot have a default value.
343e7bd [Joseph K. Bradley] added blanket mima exclude for ml package
82f340b [Joseph K. Bradley] Fixed bug in LogisticRegression (introduced in this PR). Fixed Java suites
0a16da9 [Joseph K. Bradley] Fixed Linear/Logistic RegressionSuites
c3c8da5 [Joseph K. Bradley] small cleanup
934f97b [Joseph K. Bradley] Fixed bugs from previous commit.
1c61723 [Joseph K. Bradley] * Made ProbabilisticClassificationModel into a subclass of ClassificationModel. Also introduced ProbabilisticClassifier. * This was to support output column “probabilityCol” in transform().
4e2f711 [Joseph K. Bradley] rat fix
bc654e1 [Joseph K. Bradley] Added spark.ml LinearRegressionSuite
8d13233 [Joseph K. Bradley] Added methods: * Classifier: batch predictRaw() * Predictor: train() without paramMap ProbabilisticClassificationModel.predictProbabilities() * Java versions of all above batch methods + others
1680905 [Joseph K. Bradley] Added JavaLabeledPointSuite.java for spark.ml, and added constructor to LabeledPoint which defaults weight to 1.0
adbe50a [Joseph K. Bradley] * fixed LinearRegression train() to use embedded paramMap * added Predictor.predict(RDD[Vector]) method * updated Linear/LogisticRegressionSuites
58802e3 [Joseph K. Bradley] added train() to Predictor subclasses which does not take a ParamMap.
57d54ab [Joseph K. Bradley] * Changed semantics of Predictor.train() to merge the given paramMap with the embedded paramMap. * remove threshold_internal from logreg * Added Predictor.copy() * Extended LogisticRegressionSuite
e433872 [Joseph K. Bradley] Updated docs. Added LabeledPointSuite to spark.ml
54b7b31 [Joseph K. Bradley] Fixed issue with logreg threshold being set correctly
0617d61 [Joseph K. Bradley] Fixed bug from last commit (sorting paramMap by parameter names in toString). Fixed bug in persisting logreg data. Added threshold_internal to logreg for faster test-time prediction (avoiding map lookup).
601e792 [Joseph K. Bradley] Modified ParamMap to sort parameters in toString. Cleaned up classes in class hierarchy, before implementing tests and examples.
d705e87 [Joseph K. Bradley] Added LinearRegression and Regressor back from ml-api branch
52f4fde [Joseph K. Bradley] removing everything except for simple class hierarchy for classification
d35bb5d [Joseph K. Bradley] fixed compilation issues, but have not added tests yet
bfade12 [Joseph K. Bradley] Added lots of classes for new ML API:
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This is the second part of SPARK-5604, which removes checkpointDir from tree strategies. Note that this is a break change. I will mention it in the migration guide.
Author: Xiangrui Meng <meng@databricks.com>
Closes #4407 from mengxr/SPARK-5604-1 and squashes the following commits:
13a276d [Xiangrui Meng] remove checkpointDir from trees
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`checkpointDir` is a Spark global configuration. Users should set it outside LDA. This PR also hides some methods under `private[clustering] object LDA`, so they don't show up in the generated Java doc (SPARK-5610).
jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #4390 from mengxr/SPARK-5604 and squashes the following commits:
a34bb39 [Xiangrui Meng] remove checkpointDir from LDA
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Author: Reynold Xin <rxin@databricks.com>
Closes #4386 from rxin/df-implicits and squashes the following commits:
9d96606 [Reynold Xin] style fix
edd296b [Reynold Xin] ReplSuite
1c946ab [Reynold Xin] [SPARK-5612][SQL] Move DataFrame implicit functions into SQLContext.implicits.
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**This PR introduces an API + simple implementation for Latent Dirichlet Allocation (LDA).**
The [design doc for this PR](https://docs.google.com/document/d/1kSsDqTeZMEB94Bs4GTd0mvdAmduvZSSkpoSfn-seAzo) has been updated since I initially posted it. In particular, see the API and Planning for the Future sections.
* Settle on a public API which may eventually include:
* more inference algorithms
* more options / functionality
* Have an initial easy-to-understand implementation which others may improve.
* This is NOT intended to support every topic model out there. However, if there are suggestions for making this extensible or pluggable in the future, that could be nice, as long as it does not complicate the API or implementation too much.
* This may not be very scalable currently. It will be important to check and improve accuracy. For correctness of the implementation, please check against the Asuncion et al. (2009) paper in the design doc.
**Dependency: This makes MLlib depend on GraphX.**
Files and classes:
* LDA.scala (441 lines):
* class LDA (main estimator class)
* LDA.Document (text + document ID)
* LDAModel.scala (266 lines)
* abstract class LDAModel
* class LocalLDAModel
* class DistributedLDAModel
* LDAExample.scala (245 lines): script to run LDA + a simple (private) Tokenizer
* LDASuite.scala (144 lines)
Data/model representation and algorithm:
* Data/model: Uses GraphX, with term vertices + document vertices
* Algorithm: EM, following [Asuncion, Welling, Smyth, and Teh. "On Smoothing and Inference for Topic Models." UAI, 2009.](http://arxiv-web3.library.cornell.edu/abs/1205.2662v1)
* For more details, please see the description in the “DEVELOPERS NOTE” in LDA.scala
Please refer to the JIRA for more discussion + the [design doc for this PR](https://docs.google.com/document/d/1kSsDqTeZMEB94Bs4GTd0mvdAmduvZSSkpoSfn-seAzo)
Here, I list the main changes AFTER the design doc was posted.
Design decisions:
* logLikelihood() computes the log likelihood of the data and the current point estimate of parameters. This is different from the likelihood of the data given the hyperparameters, which would be harder to compute. I’d describe the current approach as more frequentist, whereas the harder approach would be more Bayesian.
* The current API takes Documents as token count vectors. I believe there should be an extended API taking RDD[String] or RDD[Array[String]] in a future PR. I have sketched this out in the design doc (as well as handier versions of getTopics returning Strings).
* Hyperparameters should be set differently for different inference/learning algorithms. See Asuncion et al. (2009) in the design doc for a good demonstration. I encourage good behavior via defaults and warning messages.
Items planned for future PRs:
* perplexity
* API taking Strings
* Should LDA be called LatentDirichletAllocation (and LDAModel be LatentDirichletAllocationModel)?
* Pro: We may someday want LinearDiscriminantAnalysis.
* Con: Very long names
* Should LDA reside in clustering? Or do we want a sub-package?
* mllib.topicmodel
* mllib.clustering.topicmodel
* Does the API seem reasonable and extensible?
* Unit tests:
* Should there be a test which checks a clustering results? E.g., train on a small, fake dataset with 2 very distinct topics/clusters, and ensure LDA finds those 2 topics/clusters. Does that sound useful or too flaky?
This has not been tested much for scaling. I have run it on a laptop for 200 iterations on a 5MB dataset with 1000 terms and 5 topics. Running it for 500 iterations made it fail because of GC problems. I'm running larger scale tests & will put results here, but future PRs may need to improve the scaling.
* dlwh for the initial implementation
* + jegonzal for some code in the initial implementation
* The many contributors towards topic model implementations in Spark which were referenced as a basis for this PR: akopich witgo yinxusen dlwh EntilZha jegonzal IlyaKozlov
* Note: The plan is to include this full list in the authors if this PR gets merged. Please notify me if you prefer otherwise.
CC: mengxr
Authors:
Joseph K. Bradley <joseph@databricks.com>
Joseph Gonzalez <joseph.e.gonzalez@gmail.com>
David Hall <david.lw.hall@gmail.com>
Guoqiang Li <witgo@qq.com>
Xiangrui Meng <meng@databricks.com>
Pedro Rodriguez <pedro@snowgeek.org>
Avanesov Valeriy <acopich@gmail.com>
Xusen Yin <yinxusen@gmail.com>
Closes #2388
Closes #4047 from jkbradley/davidhall-lda and squashes the following commits:
77e8814 [Joseph K. Bradley] small doc fix
5c74345 [Joseph K. Bradley] cleaned up doc based on code review
589728b [Joseph K. Bradley] Updates per code review. Main change was in LDAExample for faster vocab computation. Also updated PeriodicGraphCheckpointerSuite.scala to clean up checkpoint files at end
e3980d2 [Joseph K. Bradley] cleaned up PeriodicGraphCheckpointerSuite.scala
74487e5 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into davidhall-lda
4ae2a7d [Joseph K. Bradley] removed duplicate graphx dependency in mllib/pom.xml
e391474 [Joseph K. Bradley] Removed LDATiming. Added PeriodicGraphCheckpointerSuite.scala. Small LDA cleanups.
e8d8acf [Joseph K. Bradley] Added catch for BreakIterator exception. Improved preprocessing to reduce passes over data
1a231b4 [Joseph K. Bradley] fixed scalastyle
91aadfe [Joseph K. Bradley] Added Java-friendly run method to LDA. Added Java test suite for LDA. Changed LDAModel.describeTopics to return Java-friendly type
b75472d [Joseph K. Bradley] merged improvements from LDATiming into LDAExample. Will remove LDATiming after done testing
993ca56 [Joseph K. Bradley] * Removed Document type in favor of (Long, Vector) * Changed doc ID restriction to be: id must be nonnegative and unique in the doc (instead of 0,1,2,...) * Add checks for valid ranges of eta, alpha * Rename “LearningState” to “EMOptimizer” * Renamed params: termSmoothing -> topicConcentration, topicSmoothing -> docConcentration * Also added aliases alpha, beta
cb5a319 [Joseph K. Bradley] Added checkpointing to LDA * new class PeriodicGraphCheckpointer * params checkpointDir, checkpointInterval to LDA
43c1c40 [Joseph K. Bradley] small cleanup
0b90393 [Joseph K. Bradley] renamed LDA LearningState.collectTopicTotals to globalTopicTotals
77a2c85 [Joseph K. Bradley] Moved auto term,topic smoothing computation to get*Smoothing methods. Changed word to term in some places. Updated LDAExample to use default smoothing amounts.
fb1e7b5 [Xiangrui Meng] minor
08d59a3 [Xiangrui Meng] reset spacing
9fe0b95 [Xiangrui Meng] optimize aggregateMessages
cec0a9c [Xiangrui Meng] * -> *=
6cb11b0 [Xiangrui Meng] optimize computePTopic
9eb3d02 [Xiangrui Meng] + -> +=
892530c [Xiangrui Meng] use axpy
45cc7f2 [Xiangrui Meng] mapPart -> flatMap
ce53be9 [Joseph K. Bradley] fixed example name
75749e7 [Joseph K. Bradley] scala style fix
9f2a492 [Joseph K. Bradley] Unit tests and fixes for LDA, now ready for PR
377ebd9 [Joseph K. Bradley] separated LDA models into own file. more cleanups before PR
2d40006 [Joseph K. Bradley] cleanups before PR
2891e89 [Joseph K. Bradley] Prepped LDA main class for PR, but some cleanups remain
0cb7187 [Joseph K. Bradley] Added 3 files from dlwh LDA implementation
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Python API for the Gaussian Mixture Model clustering algorithm in MLLib.
Author: FlytxtRnD <meethu.mathew@flytxt.com>
Closes #4059 from FlytxtRnD/PythonGmmWrapper and squashes the following commits:
c973ab3 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper
339b09c [FlytxtRnD] Added MultivariateGaussian namedtuple and Arraybuffer in trainGaussianMixture
fa0a142 [FlytxtRnD] New line added
d5b36ab [FlytxtRnD] Changed argument names to lowercase
ac134f1 [FlytxtRnD] Merge branch 'PythonGmmWrapper' of https://github.com/FlytxtRnD/spark into PythonGmmWrapper
6671ea1 [FlytxtRnD] Added mllib/stat/distribution.py
3aee84b [FlytxtRnD] Fixed style issues
2e9f12a [FlytxtRnD] Added mllib/stat/distribution.py and fixed style issues
b22532c [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper
2e14d82 [FlytxtRnD] Incorporate MultivariateGaussian instances in GaussianMixtureModel
05767c7 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper
3464d19 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper
c1d4c71 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'origin/PythonGmmWrapper' into PythonGmmWrapper
426d130 [FlytxtRnD] Added random seed parameter
332bad1 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper
f82750b [FlytxtRnD] Fixed style issues
5c83825 [FlytxtRnD] Split input file with space delimiter
fda60f3 [FlytxtRnD] Python API for Gaussian Mixture Model
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This adds support for streaming logistic regression with stochastic gradient descent, in the same manner as the existing implementation of streaming linear regression. It is a relatively simple addition because most of the work is already done by the abstract class `StreamingLinearAlgorithm` and existing algorithms and models from MLlib.
The PR includes
- Streaming Logistic Regression algorithm
- Unit tests for accuracy, streaming convergence, and streaming prediction
- An example use
cc mengxr tdas
Author: freeman <the.freeman.lab@gmail.com>
Closes #4306 from freeman-lab/streaming-logisitic-regression and squashes the following commits:
5c2c70b [freeman] Use Option on model
5cca2bc [freeman] Merge remote-tracking branch 'upstream/master' into streaming-logisitic-regression
275f8bd [freeman] Make private to mllib
3926e4e [freeman] Line formatting
5ee8694 [freeman] Experimental tag for docs
2fc68ac [freeman] Fix example formatting
85320b1 [freeman] Fixed line length
d88f717 [freeman] Remove stray comment
59d7ecb [freeman] Add streaming logistic regression
e78fe28 [freeman] Add streaming logistic regression example
321cc66 [freeman] Set private and protected within mllib
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This PR brings the Python API for Spark Streaming Kafka data source.
```
class KafkaUtils(__builtin__.object)
| Static methods defined here:
|
| createStream(ssc, zkQuorum, groupId, topics, storageLevel=StorageLevel(True, True, False, False,
2), keyDecoder=<function utf8_decoder>, valueDecoder=<function utf8_decoder>)
| Create an input stream that pulls messages from a Kafka Broker.
|
| :param ssc: StreamingContext object
| :param zkQuorum: Zookeeper quorum (hostname:port,hostname:port,..).
| :param groupId: The group id for this consumer.
| :param topics: Dict of (topic_name -> numPartitions) to consume.
| Each partition is consumed in its own thread.
| :param storageLevel: RDD storage level.
| :param keyDecoder: A function used to decode key
| :param valueDecoder: A function used to decode value
| :return: A DStream object
```
run the example:
```
bin/spark-submit --driver-class-path external/kafka-assembly/target/scala-*/spark-streaming-kafka-assembly-*.jar examples/src/main/python/streaming/kafka_wordcount.py localhost:2181 test
```
Author: Davies Liu <davies@databricks.com>
Author: Tathagata Das <tdas@databricks.com>
Closes #3715 from davies/kafka and squashes the following commits:
d93bfe0 [Davies Liu] Update make-distribution.sh
4280d04 [Davies Liu] address comments
e6d0427 [Davies Liu] Merge branch 'master' of github.com:apache/spark into kafka
f257071 [Davies Liu] add tests for null in RDD
23b039a [Davies Liu] address comments
9af51c4 [Davies Liu] Merge branch 'kafka' of github.com:davies/spark into kafka
a74da87 [Davies Liu] address comments
dc1eed0 [Davies Liu] Update kafka_wordcount.py
31e2317 [Davies Liu] Update kafka_wordcount.py
370ba61 [Davies Liu] Update kafka.py
97386b3 [Davies Liu] address comment
2c567a5 [Davies Liu] update logging and comment
33730d1 [Davies Liu] Merge branch 'master' of github.com:apache/spark into kafka
adeeb38 [Davies Liu] Merge pull request #3 from tdas/kafka-python-api
aea8953 [Tathagata Das] Kafka-assembly for Python API
eea16a7 [Davies Liu] refactor
f6ce899 [Davies Liu] add example and fix bugs
98c8d17 [Davies Liu] fix python style
5697a01 [Davies Liu] bypass decoder in scala
048dbe6 [Davies Liu] fix python style
75d485e [Davies Liu] add mqtt
07923c4 [Davies Liu] support kafka in Python
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SPARK-5425: Fixed usages of system properties
This patch fixes few problems caused by the fact that the Scala wrapper over system properties is not thread-safe and is basically invalid because it doesn't take into account the default values which could have been set in the properties object. The problem is fixed by modifying `Utils.getSystemProperties` method so that it uses `stringPropertyNames` method of the `Properties` class, which is thread-safe (internally it creates a defensive copy in a synchronized method) and returns keys of the properties which were set explicitly and which are defined as defaults.
The other related problem, which is fixed here. was in `ResetSystemProperties` mix-in. It created a copy of the system properties in the wrong way.
This patch also introduces a test case for thread-safeness of SparkConf creation.
Refer to the discussion in https://github.com/apache/spark/pull/4220 for more details.
Author: Jacek Lewandowski <lewandowski.jacek@gmail.com>
Closes #4222 from jacek-lewandowski/SPARK-5425-1.3 and squashes the following commits:
03da61b [Jacek Lewandowski] SPARK-5425: Modified Utils.getSystemProperties to return a map of all system properties - explicit + defaults
8faf2ea [Jacek Lewandowski] SPARK-5425: Use SerializationUtils to save properties in ResetSystemProperties trait
71aa572 [Jacek Lewandowski] SPARK-5425: Use synchronised methods in system properties to create SparkConf
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Decoupling the model and the algorithm
Author: Travis Galoppo <tjg2107@columbia.edu>
Closes #4290 from tgaloppo/spark-5400 and squashes the following commits:
9c1534c [Travis Galoppo] Fixed invokation instructions in comments
d848076 [Travis Galoppo] SPARK-5400 Changed name of GaussianMixtureEM to GaussianMixture to separate model from algorithm
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This PR is implementing the Gradient Boosted Trees for Python API.
Author: Kazuki Taniguchi <kazuki.t.1018@gmail.com>
Closes #3951 from kazk1018/gbt_for_py and squashes the following commits:
620d247 [Kazuki Taniguchi] [SPARK-5094][MLlib] Add Python API for Gradient Boosted Trees
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Turns out Scala does generate static methods for ones defined in a companion object. Finally no need to separate api.java.dsl and api.scala.dsl.
Author: Reynold Xin <rxin@databricks.com>
Closes #4276 from rxin/dsl and squashes the following commits:
30aa611 [Reynold Xin] Add all files.
1a9d215 [Reynold Xin] [SPARK-5445][SQL] Consolidate Java and Scala DSL static methods.
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Also removed the literal implicit transformation since it is pretty scary for API design. Instead, created a new lit method for creating literals. This doesn't break anything from a compatibility perspective because Literal was added two days ago.
Author: Reynold Xin <rxin@databricks.com>
Closes #4241 from rxin/df-docupdate and squashes the following commits:
c0f4810 [Reynold Xin] Fix Python merge conflict.
094c7d7 [Reynold Xin] Minor style fix. Reset Python tests.
3c89f4a [Reynold Xin] Package.
dfe6962 [Reynold Xin] Updated Python aggregate.
5dd4265 [Reynold Xin] Made dsl Java callable.
14b3c27 [Reynold Xin] Fix literal expression for symbols.
68b31cb [Reynold Xin] Literal.
4cfeb78 [Reynold Xin] [SPARK-5097][SQL] Address DataFrame code review feedback.
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This PR adds Python API for ML pipeline and parameters. The design doc can be found on the JIRA page. It includes transformers and an estimator to demo the simple text classification example code.
TODO:
- [x] handle parameters in LRModel
- [x] unit tests
- [x] missing some docs
CC: davies jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Author: Davies Liu <davies@databricks.com>
Closes #4151 from mengxr/SPARK-4586 and squashes the following commits:
415268e [Xiangrui Meng] remove inherit_doc from __init__
edbd6fe [Xiangrui Meng] move Identifiable to ml.util
44c2405 [Xiangrui Meng] Merge pull request #2 from davies/ml
dd1256b [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-4586
14ae7e2 [Davies Liu] fix docs
54ca7df [Davies Liu] fix tests
78638df [Davies Liu] Merge branch 'SPARK-4586' of github.com:mengxr/spark into ml
fc59a02 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-4586
1dca16a [Davies Liu] refactor
090b3a3 [Davies Liu] Merge branch 'master' of github.com:apache/spark into ml
0882513 [Xiangrui Meng] update doc style
a4f4dbf [Xiangrui Meng] add unit test for LR
7521d1c [Xiangrui Meng] add unit tests to HashingTF and Tokenizer
ba0ba1e [Xiangrui Meng] add unit tests for pipeline
0586c7b [Xiangrui Meng] add more comments to the example
5153cff [Xiangrui Meng] simplify java models
036ca04 [Xiangrui Meng] gen numFeatures
46fa147 [Xiangrui Meng] update mllib/pom.xml to include python files in the assembly
1dcc17e [Xiangrui Meng] update code gen and make param appear in the doc
f66ba0c [Xiangrui Meng] make params a property
d5efd34 [Xiangrui Meng] update doc conf and move embedded param map to instance attribute
f4d0fe6 [Xiangrui Meng] use LabeledDocument and Document in example
05e3e40 [Xiangrui Meng] update example
d3e8dbe [Xiangrui Meng] more docs optimize pipeline.fit impl
56de571 [Xiangrui Meng] fix style
d0c5bb8 [Xiangrui Meng] a working copy
bce72f4 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-4586
17ecfb9 [Xiangrui Meng] code gen for shared params
d9ea77c [Xiangrui Meng] update doc
c18dca1 [Xiangrui Meng] make the example working
dadd84e [Xiangrui Meng] add base classes and docs
a3015cf [Xiangrui Meng] add Estimator and Transformer
46eea43 [Xiangrui Meng] a pipeline in python
33b68e0 [Xiangrui Meng] a working LR
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and
[SPARK-5448][SQL] Make CacheManager a concrete class and field in SQLContext
Author: Reynold Xin <rxin@databricks.com>
Closes #4242 from rxin/sqlCleanup and squashes the following commits:
e351cb2 [Reynold Xin] Fixed toDataFrame.
6545c42 [Reynold Xin] More changes.
728c017 [Reynold Xin] [SPARK-5447][SQL] Replaced reference to SchemaRDD with DataFrame.
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The current way of shading Guava is a little problematic. Code that
depends on "spark-core" does not see the transitive dependency, yet
classes in "spark-core" actually depend on Guava. So it's a little
tricky to run unit tests that use spark-core classes, since you need
a compatible version of Guava in your dependencies when running the
tests. This can become a little tricky, and is kind of a bad user
experience.
This change modifies the way Guava is shaded so that it's applied
uniformly across the Spark build. This means Guava is shaded inside
spark-core itself, so that the dependency issues above are solved.
Aside from that, all Spark sub-modules have their Guava references
relocated, so that they refer to the relocated classes now packaged
inside spark-core. Before, this was only done by the time the assembly
was built, so projects that did not end up inside the assembly (such
as streaming backends) could still reference the original location
of Guava classes.
The Guava classes are added to the "first" artifact Spark generates
(network-common), so that all downstream modules have the needed
classes available. Since "network-common" is a dependency of spark-core,
all Spark apps should get the relocated classes automatically.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes #3658 from vanzin/SPARK-4809 and squashes the following commits:
3c93e42 [Marcelo Vanzin] Shade Guava in the network-common artifact.
5d69ec9 [Marcelo Vanzin] Merge branch 'master' into SPARK-4809
b3104fc [Marcelo Vanzin] Add comment.
941848f [Marcelo Vanzin] Merge branch 'master' into SPARK-4809
f78c48a [Marcelo Vanzin] Merge branch 'master' into SPARK-4809
8053dd4 [Marcelo Vanzin] Merge branch 'master' into SPARK-4809
107d7da [Marcelo Vanzin] Add fix for SPARK-5052 (PR #3874).
40b8723 [Marcelo Vanzin] Merge branch 'master' into SPARK-4809
4a4ed42 [Marcelo Vanzin] [SPARK-4809] Rework Guava library shading.
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