This is the sub-task of SPARK-6254.
Wrap missing method for `StandardScalerModel`.
Author: lewuathe <lewuathe@me.com>
Closes#5310 from Lewuathe/SPARK-6643 and squashes the following commits:
fafd690 [lewuathe] Fix for lint-python
bd31a64 [lewuathe] Merge branch 'master' into SPARK-6643
578f5ee [lewuathe] Remove unnecessary class
a38f155 [lewuathe] Merge master
66bb2ab [lewuathe] Fix typos
82683a0 [lewuathe] [SPARK-6643] Implement StandardScalerModel missing methods
It's possible to have two DataType object with same id (memory address) at different time, we should check the cached classes to verify that it's generated by given datatype.
This PR also change `__FIELDS__` and `__DATATYPE__` to lower case to match Python code style.
Author: Davies Liu <davies@databricks.com>
Closes#5445 from davies/fix_type_cache and squashes the following commits:
63b3238 [Davies Liu] typo
47bdede [Davies Liu] fix cached classes
Author: Davies Liu <davies@databricks.com>
Closes#5404 from davies/check_version and squashes the following commits:
e559248 [Davies Liu] add tests
ec33b5f [Davies Liu] check the python version in worker
The samples should always be sorted in ascending order, because bisect.bisect_left is used on it. The reverse order of the result is already achieved in rangePartitioner by reversing the found index.
The current implementation also work, but always uses only two partitions -- the first one and the last one (because the bisect_left return returns either "beginning" or "end" for a descending sequence).
Author: Milan Straka <fox@ucw.cz>
This patch had conflicts when merged, resolved by
Committer: Josh Rosen <joshrosen@databricks.com>
Closes#4761 from foxik/fix-descending-sort and squashes the following commits:
95896b5 [Milan Straka] Add regression test for SPARK-5969.
5757490 [Milan Straka] Fix descending pyspark.rdd.sortByKey.
Refactor the Kafka unit test and add Python API support. CC tdas davies please help to review, thanks a lot.
Author: jerryshao <saisai.shao@intel.com>
Author: Saisai Shao <saisai.shao@intel.com>
Closes#4961 from jerryshao/SPARK-6211 and squashes the following commits:
ee4b919 [jerryshao] Fixed newly merged issue
82c756e [jerryshao] Address the comments
92912d1 [jerryshao] Address the commits
0708bb1 [jerryshao] Fix rebase issue
40b47a3 [Saisai Shao] Style fix
f889657 [Saisai Shao] Update the code according
8a2f3e2 [jerryshao] Address the issues
0f1b7ce [jerryshao] Still fix the bug
61a04f0 [jerryshao] Fix bugs and address the issues
64d9877 [jerryshao] Fix rebase bugs
8ad442f [jerryshao] Add kafka-assembly in run-tests
6020b00 [jerryshao] Add more debug info in Shell
8102d6e [jerryshao] Fix bug in Jenkins test
fde1213 [jerryshao] Code style changes
5536f95 [jerryshao] Refactor the Kafka unit test and add Python Kafka unittest support
Supporting of SparseMatrix in PySpark.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#5355 from MechCoder/spark-6577 and squashes the following commits:
7492190 [MechCoder] More readable code for densifying
ea2c54b [MechCoder] Check bounds for indexing
454ef2c [MechCoder] Made the following changes 1. Used convert_to_array for array conversion. 2. Used F order for toArray 3. Minor improvements in speed.
db76caf [MechCoder] Add support for CSR matrix
29653e7 [MechCoder] Renamed indices to rowIndices and indptr to colPtrs
b6384fe [MechCoder] [SPARK-6577] SparseMatrix should be supported in PySpark
This patch change groupByKey() to use external sort based approach, so it can support single huge key.
For example, it can group by a dataset including one hot key with 40 millions values (strings), using 500M memory for Python worker, finished in about 2 minutes. (it will need 6G memory in hash based approach).
During groupByKey(), it will do in-memory groupBy first. If the dataset can not fit in memory, then data will be partitioned by hash. If one partition still can not fit in memory, it will switch to sort based groupBy().
Author: Davies Liu <davies.liu@gmail.com>
Author: Davies Liu <davies@databricks.com>
Closes#1977 from davies/groupby and squashes the following commits:
af3713a [Davies Liu] make sure it's iterator
67772dd [Davies Liu] fix tests
e78c15c [Davies Liu] address comments
0b0fde8 [Davies Liu] address comments
0dcf320 [Davies Liu] address comments, rollback changes in ResultIterable
e3b8eab [Davies Liu] fix narrow dependency
2a1857a [Davies Liu] typo
d2f053b [Davies Liu] add repr for FlattedValuesSerializer
c6a2f8d [Davies Liu] address comments
9e2df24 [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
2b9c261 [Davies Liu] fix typo in comments
70aadcd [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
a14b4bd [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
ab5515b [Davies Liu] Merge branch 'master' into groupby
651f891 [Davies Liu] simplify GroupByKey
1578f2e [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
1f69f93 [Davies Liu] fix tests
0d3395f [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
341f1e0 [Davies Liu] add comments, refactor
47918b8 [Davies Liu] remove unused code
6540948 [Davies Liu] address comments:
17f4ec6 [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
4d4bc86 [Davies Liu] bugfix
8ef965e [Davies Liu] Merge branch 'master' into groupby
fbc504a [Davies Liu] Merge branch 'master' into groupby
779ed03 [Davies Liu] fix merge conflict
2c1d05b [Davies Liu] refactor, minor turning
b48cda5 [Davies Liu] Merge branch 'master' into groupby
85138e6 [Davies Liu] Merge branch 'master' into groupby
acd8e1b [Davies Liu] fix memory when groupByKey().count()
905b233 [Davies Liu] Merge branch 'sort' into groupby
1f075ed [Davies Liu] Merge branch 'master' into sort
4b07d39 [Davies Liu] compress the data while spilling
0a081c6 [Davies Liu] Merge branch 'master' into groupby
f157fe7 [Davies Liu] Merge branch 'sort' into groupby
eb53ca6 [Davies Liu] Merge branch 'master' into sort
b2dc3bf [Davies Liu] Merge branch 'sort' into groupby
644abaf [Davies Liu] add license in LICENSE
19f7873 [Davies Liu] improve tests
11ba318 [Davies Liu] typo
085aef8 [Davies Liu] Merge branch 'master' into groupby
3ee58e5 [Davies Liu] switch to sort based groupBy, based on size of data
1ea0669 [Davies Liu] choose sort based groupByKey() automatically
b40bae7 [Davies Liu] bugfix
efa23df [Davies Liu] refactor, add spark.shuffle.sort=False
250be4e [Davies Liu] flatten the combined values when dumping into disks
d05060d [Davies Liu] group the same key before shuffle, reduce the comparison during sorting
083d842 [Davies Liu] sorted based groupByKey()
55602ee [Davies Liu] use external sort in sortBy() and sortByKey()
Support FPGrowth algorithm in Python API.
Should we remove "Experimental" which were marked for FPGrowth and FPGrowthModel in Scala? jkbradley
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#5213 from yanboliang/spark-6264 and squashes the following commits:
ed62ead [Yanbo Liang] trigger jenkins
8ce0359 [Yanbo Liang] fix docstring style
544c725 [Yanbo Liang] address comments
a2d7cf7 [Yanbo Liang] add doc for FPGrowth.train()
dcf7d73 [Yanbo Liang] add python doc
b18fd07 [Yanbo Liang] trigger jenkins
2c951b8 [Yanbo Liang] fix typos
7f62c8f [Yanbo Liang] add fpm to __init__.py
b96206a [Yanbo Liang] Support FPGrowth algorithm in Python API
<!-- Reviewable:start -->
[<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/5349)
<!-- Reviewable:end -->
Author: Cheng Lian <lian@databricks.com>
Closes#5349 from liancheng/py-refresh-table and squashes the following commits:
004bec0 [Cheng Lian] Adds HiveContext.refreshTable to PySpark
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
....
In particular, this makes pyspark in yarn-cluster mode fail unless
SPARK_HOME is set, when it's not really needed.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#5405 from vanzin/SPARK-6506 and squashes the following commits:
e184507 [Marcelo Vanzin] [SPARK-6506] [pyspark] Do not try to retrieve SPARK_HOME when not needed.
... and normL2.
Add test cases to insufficient unit test for `normL1` and `normL2`.
Ref: https://github.com/apache/spark/pull/5359
Author: lewuathe <lewuathe@me.com>
Closes#5374 from Lewuathe/SPARK-6720 and squashes the following commits:
5541b24 [lewuathe] More accurate tests
dc5718c [lewuathe] [SPARK-6720] PySpark MultivariateStatisticalSummary unit test for normL1 and normL2
Add below methods in pyspark for MultivariateStatisticalSummary
- normL1
- normL2
Author: lewuathe <lewuathe@me.com>
Closes#5359 from Lewuathe/SPARK-6262 and squashes the following commits:
cbe439e [lewuathe] Implement missing methods for MultivariateStatisticalSummary
This is the sub-task of SPARK-6254.
Wrap missing method for `Word2Vec` and `Word2VecModel`.
Author: lewuathe <lewuathe@me.com>
Closes#5296 from Lewuathe/SPARK-6615 and squashes the following commits:
f14c304 [lewuathe] Reorder tests
1d326b9 [lewuathe] Merge master
e2bedfb [lewuathe] Modify test cases
afb866d [lewuathe] [SPARK-6615] Python API for Word2Vec
The reused address on server side had caused the server can not acknowledge the connected connections, remove it.
This PR will retry once after timeout, it also add a timeout at client side.
Author: Davies Liu <davies@databricks.com>
Closes#5324 from davies/collect_hang and squashes the following commits:
e5a51a2 [Davies Liu] remove setReuseAddress
7977c2f [Davies Liu] do retry on client side
b838f35 [Davies Liu] retry after timeout
davies
Author: Xiangrui Meng <meng@databricks.com>
Closes#5318 from mengxr/SPARK-6660 and squashes the following commits:
0f66ec2 [Xiangrui Meng] recognize object arrays
ad8c42f [Xiangrui Meng] add a test for SPARK-6660
Use `f.__repr__()` instead of `f.__name__` when instantiating `UserDefinedFunction`s, so `functools.partial`s may be used.
Author: ksonj <kson@siberie.de>
Closes#5206 from ksonj/partials and squashes the following commits:
ea66f3d [ksonj] Inserted blank lines for PEP8 compliance
d81b02b [ksonj] added tests for udf with partial function and callable object
2c76100 [ksonj] Makes UDFs work with all types of callables
b814a12 [ksonj] support functools.partial as udf
(cherry picked from commit 98f72dfc17)
Signed-off-by: Josh Rosen <joshrosen@databricks.com>
Support indexing in DenseMatrices in PySpark
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#5232 from MechCoder/SPARK-6576 and squashes the following commits:
a735078 [MechCoder] Change bounds
a062025 [MechCoder] Matrices are stored in column order
7917bc1 [MechCoder] [SPARK-6576] DenseMatrix in PySpark should support indexing
This PR changes lambda scaling from number of users/items to number of explicit ratings. The latter is the behavior in 1.2. Slight refactor of NormalEquation to make it independent of ALS models. srowen codexiang
Author: Xiangrui Meng <meng@databricks.com>
Closes#5314 from mengxr/SPARK-6642 and squashes the following commits:
dc655a1 [Xiangrui Meng] relax python tests
f410df2 [Xiangrui Meng] use 1.2 scaling and remove addImplicit from NormalEquation
fixed python doc build warnings
CC whomever wants to review: rxin mengxr davies
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#5317 from jkbradley/python-doc-warnings and squashes the following commits:
4cd43c2 [Joseph K. Bradley] fixed python doc build warnings
Users should be able to use numpy operators directly on dense vectors. davies atalwalkar
Author: Xiangrui Meng <meng@databricks.com>
Closes#5312 from mengxr/SPARK-6651 and squashes the following commits:
e665c5c [Xiangrui Meng] wrap the result in a dense vector
23dfca3 [Xiangrui Meng] delegate dense vector arithmetics to the underlying numpy array
Python API parity check for classification and multiclass classification support, major disparities need to be added for Python:
```scala
LogisticRegressionWithLBFGS
setNumClasses
setValidateData
LogisticRegressionModel
getThreshold
numClasses
numFeatures
SVMWithSGD
setValidateData
SVMModel
getThreshold
```
For users the greatest benefit in this PR is multiclass classification was supported by Python API.
Users can train multiclass classification model and use it to predict in pyspark.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#5137 from yanboliang/spark-6255 and squashes the following commits:
0bd531e [Yanbo Liang] address comments
444d5e2 [Yanbo Liang] LogisticRegressionModel.predict() optimization
fc7990b [Yanbo Liang] address comments
b0d9c63 [Yanbo Liang] Support Mulinomial LR model predict in Python API
ded847c [Yanbo Liang] Python API parity check for classification (support multiclass classification)
This is the sub-task of SPARK-6254.
Wrapping IDFModel `idf` member function for pyspark.
Author: lewuathe <lewuathe@me.com>
Closes#5264 from Lewuathe/SPARK-6598 and squashes the following commits:
1dc522c [lewuathe] [SPARK-6598] Python API for IDFModel
To maintain consistency with the Scala API.
Author: Reynold Xin <rxin@databricks.com>
Closes#5284 from rxin/df-na-alias and squashes the following commits:
19f46b7 [Reynold Xin] Show DataFrameNaFunctions in docs.
6618118 [Reynold Xin] [SPARK-6623][SQL] Alias DataFrame.na.drop and DataFrame.na.fill in Python.
This pull request adds variants of DataFrame.na.drop and DataFrame.na.fill to the Scala/Java API, and DataFrame.fillna and DataFrame.dropna to the Python API.
Author: Reynold Xin <rxin@databricks.com>
Closes#5274 from rxin/df-missing-value and squashes the following commits:
4ee1b98 [Reynold Xin] Improve error reporting in Python.
33a330c [Reynold Xin] Remove replace for now.
bc4fdbb [Reynold Xin] Added documentation for replace.
d56f5a5 [Reynold Xin] Added replace for Scala/Java.
2385d00 [Reynold Xin] Feedback from Xiangrui on "how".
914a374 [Reynold Xin] fill with map.
185c67e [Reynold Xin] Allow specifying column subsets in fill.
749eb47 [Reynold Xin] fillna
249b94e [Reynold Xin] Removing undefined functions.
6a73c68 [Reynold Xin] Missing file.
67d7003 [Reynold Xin] [SPARK-6119][SQL] DataFrame.na.drop (Scala/Java) and DataFrame.dropna (Python)
This PR create an alias for `registerFunction` as `udf.register`, to be consistent with Scala API.
It also deprecated inferSchema() and applySchema(), show an warning for them.
cc rxin
Author: Davies Liu <davies@databricks.com>
Closes#5273 from davies/udf and squashes the following commits:
476e947 [Davies Liu] address comments
c096fdb [Davies Liu] add SQLContext.udf and deprecate inferSchema() and applySchema
This fixes `predictAll` after load. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#5243 from mengxr/SPARK-6571 and squashes the following commits:
82dcaa7 [Xiangrui Meng] use wrapper in MatrixFactorizationModel.load
1. Slightly modifications to the code to make it more readable.
2. Added Python implementation.
3. Updated the documentation to state that we don't guarantee the output schema for this function and it should only be used for exploratory data analysis.
Author: Reynold Xin <rxin@databricks.com>
Closes#5201 from rxin/df-describe and squashes the following commits:
25a7834 [Reynold Xin] Reset run-tests.
6abdfee [Reynold Xin] [SPARK-6117] [SQL] Improvements to DataFrame.describe()
MLlib Python API parity check for Regression, major disparities need to be added for Python list following:
```scala
LinearRegressionWithSGD
setValidateData
LassoWithSGD
setIntercept
setValidateData
RidgeRegressionWithSGD
setIntercept
setValidateData
```
setFeatureScaling is mllib private function which is not needed to expose in pyspark.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#4997 from yanboliang/spark-6256 and squashes the following commits:
102f498 [Yanbo Liang] fix intercept issue & add doc test
1fb7b4f [Yanbo Liang] change 'intercept' to 'addIntercept'
de5ecbc [Yanbo Liang] MLlib Python API parity check for regression
Weight parameters must be initialized correctly even when numpy array is passed as initial weights.
Author: lewuathe <lewuathe@me.com>
Closes#5101 from Lewuathe/SPARK-6421 and squashes the following commits:
7795201 [lewuathe] Fix lint-python errors
21d4fe3 [lewuathe] Fix init logic of weights
For Python's linear models, weights and intercept are stored in Python.
This PR implements Python's linear models sava/load functions which do the same thing as scala.
It can also make model import/export cross languages.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#5016 from yanboliang/spark-6095 and squashes the following commits:
d9bb824 [Yanbo Liang] fix python style
b3813ca [Yanbo Liang] linear model save/load for Python reuse the Scala implementation
The docs for the `sample` method were insufficient, now less so.
Author: mbonaci <mbonaci@gmail.com>
Closes#5097 from mbonaci/master and squashes the following commits:
a6a9d97 [mbonaci] [SPARK-6370][core] Documentation: Improve all 3 docs for RDD.sample method
https://issues.apache.org/jira/browse/SPARK-6366
Author: Yin Huai <yhuai@databricks.com>
Closes#5053 from yhuai/SPARK-6366 and squashes the following commits:
fc81897 [Yin Huai] Use error as the default save mode for save/saveAsTable.
Use `_py2java` and `_java2py` to convert Python model to/from Java model. yinxusen
Author: Xiangrui Meng <meng@databricks.com>
Closes#5049 from mengxr/SPARK-6226-mengxr and squashes the following commits:
570ba81 [Xiangrui Meng] fix python style
b10b911 [Xiangrui Meng] add save/load in PySpark's KMeansModel
SparkSubmit should be launched without setting PYSPARK_SUBMIT_ARGS
cc JoshRosen , this mode is actually used by python unit test, so I will not add more test for it.
Author: Davies Liu <davies@databricks.com>
Closes#5019 from davies/fix_submit and squashes the following commits:
2c20b0c [Davies Liu] fix launch spark-submit from python
use prettyString instead of toString() (which include id of expression) as column name in agg()
Author: Davies Liu <davies@databricks.com>
Closes#5006 from davies/prettystring and squashes the following commits:
cb1fdcf [Davies Liu] use prettyString as column name in agg()
Add LassoModel to __all__ in regression.py
LassoModel does not show up in Python docs
This should be merged into branch-1.3 and master.
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#4970 from jkbradley/SPARK-6253 and squashes the following commits:
c2cb533 [Joseph K. Bradley] Add LassoModel to __all__ in regression.py
The Thread.interrupt() can not terminate the thread in some cases, so we should not wait for the writerThread of PythonRDD.
This PR also ignore some exception during clean up.
cc JoshRosen mengxr
Author: Davies Liu <davies@databricks.com>
Closes#4987 from davies/fix_take and squashes the following commits:
4488f1a [Davies Liu] fix hang when call take() in JVM on PythonRDD
This change encapsulates all the logic involved in launching a Spark job
into a small Java library that can be easily embedded into other applications.
The overall goal of this change is twofold, as described in the bug:
- Provide a public API for launching Spark processes. This is a common request
from users and currently there's no good answer for it.
- Remove a lot of the duplicated code and other coupling that exists in the
different parts of Spark that deal with launching processes.
A lot of the duplication was due to different code needed to build an
application's classpath (and the bootstrapper needed to run the driver in
certain situations), and also different code needed to parse spark-submit
command line options in different contexts. The change centralizes those
as much as possible so that all code paths can rely on the library for
handling those appropriately.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#3916 from vanzin/SPARK-4924 and squashes the following commits:
18c7e4d [Marcelo Vanzin] Fix make-distribution.sh.
2ce741f [Marcelo Vanzin] Add lots of quotes.
3b28a75 [Marcelo Vanzin] Update new pom.
a1b8af1 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
897141f [Marcelo Vanzin] Review feedback.
e2367d2 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
28cd35e [Marcelo Vanzin] Remove stale comment.
b1d86b0 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
00505f9 [Marcelo Vanzin] Add blurb about new API in the programming guide.
5f4ddcc [Marcelo Vanzin] Better usage messages.
92a9cfb [Marcelo Vanzin] Fix Win32 launcher, usage.
6184c07 [Marcelo Vanzin] Rename field.
4c19196 [Marcelo Vanzin] Update comment.
7e66c18 [Marcelo Vanzin] Fix pyspark tests.
0031a8e [Marcelo Vanzin] Review feedback.
c12d84b [Marcelo Vanzin] Review feedback. And fix spark-submit on Windows.
e2d4d71 [Marcelo Vanzin] Simplify some code used to launch pyspark.
43008a7 [Marcelo Vanzin] Don't make builder extend SparkLauncher.
b4d6912 [Marcelo Vanzin] Use spark-submit script in SparkLauncher.
28b1434 [Marcelo Vanzin] Add a comment.
304333a [Marcelo Vanzin] Fix propagation of properties file arg.
bb67b93 [Marcelo Vanzin] Remove unrelated Yarn change (that is also wrong).
8ec0243 [Marcelo Vanzin] Add missing newline.
95ddfa8 [Marcelo Vanzin] Fix handling of --help for spark-class command builder.
72da7ec [Marcelo Vanzin] Rename SparkClassLauncher.
62978e4 [Marcelo Vanzin] Minor cleanup of Windows code path.
9cd5b44 [Marcelo Vanzin] Make all non-public APIs package-private.
e4c80b6 [Marcelo Vanzin] Reorganize the code so that only SparkLauncher is public.
e50dc5e [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
de81da2 [Marcelo Vanzin] Fix CommandUtils.
86a87bf [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
2061967 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
46d46da [Marcelo Vanzin] Clean up a test and make it more future-proof.
b93692a [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
ad03c48 [Marcelo Vanzin] Revert "Fix a thread-safety issue in "local" mode."
0b509d0 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
23aa2a9 [Marcelo Vanzin] Read java-opts from conf dir, not spark home.
7cff919 [Marcelo Vanzin] Javadoc updates.
eae4d8e [Marcelo Vanzin] Fix new unit tests on Windows.
e570fb5 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
44cd5f7 [Marcelo Vanzin] Add package-info.java, clean up javadocs.
f7cacff [Marcelo Vanzin] Remove "launch Spark in new thread" feature.
7ed8859 [Marcelo Vanzin] Some more feedback.
54cd4fd [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
61919df [Marcelo Vanzin] Clean leftover debug statement.
aae5897 [Marcelo Vanzin] Use launcher classes instead of jars in non-release mode.
e584fc3 [Marcelo Vanzin] Rework command building a little bit.
525ef5b [Marcelo Vanzin] Rework Unix spark-class to handle argument with newlines.
8ac4e92 [Marcelo Vanzin] Minor test cleanup.
e946a99 [Marcelo Vanzin] Merge PySparkLauncher into SparkSubmitCliLauncher.
c617539 [Marcelo Vanzin] Review feedback round 1.
fc6a3e2 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
f26556b [Marcelo Vanzin] Fix a thread-safety issue in "local" mode.
2f4e8b4 [Marcelo Vanzin] Changes needed to make this work with SPARK-4048.
799fc20 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
bb5d324 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
53faef1 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
a7936ef [Marcelo Vanzin] Fix pyspark tests.
656374e [Marcelo Vanzin] Mima fixes.
4d511e7 [Marcelo Vanzin] Fix tools search code.
7a01e4a [Marcelo Vanzin] Fix pyspark on Yarn.
1b3f6e9 [Marcelo Vanzin] Call SparkSubmit from spark-class launcher for unknown classes.
25c5ae6 [Marcelo Vanzin] Centralize SparkSubmit command line parsing.
27be98a [Marcelo Vanzin] Modify Spark to use launcher lib.
6f70eea [Marcelo Vanzin] [SPARK-4924] Add a library for launching Spark jobs programatically.
Because circular reference between JavaObject and JavaMember, an Java object can not be released until Python GC kick in, then it will cause memory leak in collect(), which may consume lots of memory in JVM.
This PR change the way we sending collected data back into Python from local file to socket, which could avoid any disk IO during collect, also avoid any referrers of Java object in Python.
cc JoshRosen
Author: Davies Liu <davies@databricks.com>
Closes#4923 from davies/fix_collect and squashes the following commits:
d730286 [Davies Liu] address comments
24c92a4 [Davies Liu] fix style
ba54614 [Davies Liu] use socket to transfer data from JVM
9517c8f [Davies Liu] fix memory leak in collect()
Author: Reynold Xin <rxin@databricks.com>
Closes#4952 from rxin/schemardd-df-reference and squashes the following commits:
b2b1dbe [Reynold Xin] [Docs] Replace references to SchemaRDD with DataFrame
A simple wrapper around the Scala implementation. `DataFrame` is used for serialization/deserialization. Methods that return `RDD`s are not supported in this PR.
davies If we recognize Scala's `Product`s in Py4J, we can easily add wrappers for Scala methods that returns `RDD[(Double, Double)]`. Is it easy to register serializer for `Product` in PySpark?
Author: Xiangrui Meng <meng@databricks.com>
Closes#4863 from mengxr/SPARK-6090 and squashes the following commits:
009a3a3 [Xiangrui Meng] provide schema
dcddab5 [Xiangrui Meng] add a basic BinaryClassificationMetrics to PySpark/MLlib
Similar to `MatrixFactorizaionModel`, we only need wrappers to support save/load for tree models in Python.
jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#4854 from mengxr/SPARK-6097 and squashes the following commits:
4586a4d [Xiangrui Meng] fix more typos
8ebcac2 [Xiangrui Meng] fix python style
91172d8 [Xiangrui Meng] fix typos
201b3b9 [Xiangrui Meng] update user guide
b5158e2 [Xiangrui Meng] support tree model save/load in PySpark/MLlib
davies
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#4860 from tdas/SPARK-6127 and squashes the following commits:
82de92a [Tathagata Das] Add Kafka to Python api docs
`df.dtypes` shows `null` for UDTs. This PR uses `udt` by default and `VectorUDT` overwrites it with `vector`.
jkbradley davies
Author: Xiangrui Meng <meng@databricks.com>
Closes#4858 from mengxr/SPARK-6121 and squashes the following commits:
34f0a77 [Xiangrui Meng] simpleString for UDT
Currently LogisticRegressionWithLBFGS in python/pyspark/mllib/classification.py will invoke callMLlibFunc with a wrong "regType" parameter.
It was assigned to "str(regType)" which translate None(Python) to "None"(Java/Scala). The right way should be translate None(Python) to null(Java/Scala) just as what we did at LogisticRegressionWithSGD.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#4831 from yanboliang/pyspark_classification and squashes the following commits:
12db65a [Yanbo Liang] correct LogisticRegressionWithLBFGS regType parameter for pyspark
