aboutsummaryrefslogtreecommitdiff
path: root/python
Commit message (Collapse)AuthorAgeFilesLines
* [SPARK-2060][SQL] Querying JSON Datasets with SQL and DSL in Spark SQLYin Huai2014-06-171-2/+62
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-2060 Programming guide: http://yhuai.github.io/site/sql-programming-guide.html Scala doc of SQLContext: http://yhuai.github.io/site/api/scala/index.html#org.apache.spark.sql.SQLContext Author: Yin Huai <huai@cse.ohio-state.edu> Closes #999 from yhuai/newJson and squashes the following commits: 227e89e [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson ce8eedd [Yin Huai] rxin's comments. bc9ac51 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 94ffdaa [Yin Huai] Remove "get" from method names. ce31c81 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson e2773a6 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 79ea9ba [Yin Huai] Fix typos. 5428451 [Yin Huai] Newline 1f908ce [Yin Huai] Remove extra line. d7a005c [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 7ea750e [Yin Huai] marmbrus's comments. 6a5f5ef [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 83013fb [Yin Huai] Update Java Example. e7a6c19 [Yin Huai] SchemaRDD.javaToPython should convert a field with the StructType to a Map. 6d20b85 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 4fbddf0 [Yin Huai] Programming guide. 9df8c5a [Yin Huai] Python API. 7027634 [Yin Huai] Java API. cff84cc [Yin Huai] Use a SchemaRDD for a JSON dataset. d0bd412 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson ab810b0 [Yin Huai] Make JsonRDD private. 6df0891 [Yin Huai] Apache header. 8347f2e [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 66f9e76 [Yin Huai] Update docs and use the entire dataset to infer the schema. 8ffed79 [Yin Huai] Update the example. a5a4b52 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 4325475 [Yin Huai] If a sampled dataset is used for schema inferring, update the schema of the JsonTable after first execution. 65b87f0 [Yin Huai] Fix sampling... 8846af5 [Yin Huai] API doc. 52a2275 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 0387523 [Yin Huai] Address PR comments. 666b957 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson a2313a6 [Yin Huai] Address PR comments. f3ce176 [Yin Huai] After type conflict resolution, if a NullType is found, StringType is used. 0576406 [Yin Huai] Add Apache license header. af91b23 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson f45583b [Yin Huai] Infer the schema of a JSON dataset (a text file with one JSON object per line or a RDD[String] with one JSON object per string) and returns a SchemaRDD. f31065f [Yin Huai] A query plan or a SchemaRDD can print out its schema. (cherry picked from commit d2f4f30b12f99358953e2781957468e2cfe3c916) Signed-off-by: Reynold Xin <rxin@apache.org>
* SPARK-2146. Fix takeOrdered docSandy Ryza2014-06-171-1/+1
| | | | | | | | | | | | | | Removes Python syntax in Scaladoc, corrects result in Scaladoc, and removes irrelevant cache() call in Python doc. Author: Sandy Ryza <sandy@cloudera.com> Closes #1086 from sryza/sandy-spark-2146 and squashes the following commits: 185ff18 [Sandy Ryza] Use Seq instead of Array c996120 [Sandy Ryza] SPARK-2146. Fix takeOrdered doc (cherry picked from commit 2794990e9eb8712d76d3a0f0483063ddc295e639) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-2010] Support for nested data in PySpark SQLKan Zhang2014-06-161-1/+21
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA issue https://issues.apache.org/jira/browse/SPARK-2010 This PR adds support for nested collection types in PySpark SQL, including array, dict, list, set, and tuple. Example, ``` >>> from array import array >>> from pyspark.sql import SQLContext >>> sqlCtx = SQLContext(sc) >>> rdd = sc.parallelize([ ... {"f1" : array('i', [1, 2]), "f2" : {"row1" : 1.0}}, ... {"f1" : array('i', [2, 3]), "f2" : {"row2" : 2.0}}]) >>> srdd = sqlCtx.inferSchema(rdd) >>> srdd.collect() == [{"f1" : array('i', [1, 2]), "f2" : {"row1" : 1.0}}, ... {"f1" : array('i', [2, 3]), "f2" : {"row2" : 2.0}}] True >>> rdd = sc.parallelize([ ... {"f1" : [[1, 2], [2, 3]], "f2" : set([1, 2]), "f3" : (1, 2)}, ... {"f1" : [[2, 3], [3, 4]], "f2" : set([2, 3]), "f3" : (2, 3)}]) >>> srdd = sqlCtx.inferSchema(rdd) >>> srdd.collect() == \ ... [{"f1" : [[1, 2], [2, 3]], "f2" : set([1, 2]), "f3" : (1, 2)}, ... {"f1" : [[2, 3], [3, 4]], "f2" : set([2, 3]), "f3" : (2, 3)}] True ``` Author: Kan Zhang <kzhang@apache.org> Closes #1041 from kanzhang/SPARK-2010 and squashes the following commits: 1b2891d [Kan Zhang] [SPARK-2010] minor doc change and adding a TODO 504f27e [Kan Zhang] [SPARK-2010] Support for nested data in PySpark SQL (cherry picked from commit 4fdb491775bb9c4afa40477dc0069ff6fcadfe25) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SPARK-2079] Support batching when serializing SchemaRDD to PythonKan Zhang2014-06-141-1/+3
| | | | | | | | | | | | | | Added batching with default batch size 10 in SchemaRDD.javaToPython Author: Kan Zhang <kzhang@apache.org> Closes #1023 from kanzhang/SPARK-2079 and squashes the following commits: 2d1915e [Kan Zhang] [SPARK-2079] Add batching in SchemaRDD.javaToPython 19b0c09 [Kan Zhang] [SPARK-2079] Removing unnecessary wrapping in SchemaRDD.javaToPython (cherry picked from commit 2550533a28382664f8fd294b2caa494d12bfc7c1) Signed-off-by: Reynold Xin <rxin@apache.org>
* HOTFIX: PySpark tests should be order insensitive.Patrick Wendell2014-06-111-4/+4
| | | | | | | | | | | This has been messing up the SQL PySpark tests on Jenkins. Author: Patrick Wendell <pwendell@gmail.com> Closes #1054 from pwendell/pyspark and squashes the following commits: 1eb5487 [Patrick Wendell] False change 06f062d [Patrick Wendell] HOTFIX: PySpark tests should be order insensitive
* HOTFIX: Fix Python tests on Jenkins.Patrick Wendell2014-06-101-4/+7
| | | | | | | | | | | | | Author: Patrick Wendell <pwendell@gmail.com> Closes #1036 from pwendell/jenkins-test and squashes the following commits: 9c99856 [Patrick Wendell] Better output during tests 71e7b74 [Patrick Wendell] Removing incorrect python path 74984db [Patrick Wendell] HOTFIX: Allow PySpark tests to run on Jenkins. (cherry picked from commit fb499be1ac935b6f91046ec8ff23ac1267c82342) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1468] Modify the partition function used by partitionBy.Erik Selin2014-06-031-1/+4
| | | | | | | | | | | | | | | | | Make partitionBy use a tweaked version of hash as its default partition function since the python hash function does not consistently assign the same value to None across python processes. Associated JIRA at https://issues.apache.org/jira/browse/SPARK-1468 Author: Erik Selin <erik.selin@jadedpixel.com> Closes #371 from tyro89/consistent_hashing and squashes the following commits: 201c301 [Erik Selin] Make partitionBy use a tweaked version of hash as its default partition function since the python hash function does not consistently assign the same value to None across python processes. (cherry picked from commit 8edc9d0330c94b50e01956ae88693cff4e0977b2) Signed-off-by: Matei Zaharia <matei@databricks.com>
* SPARK-1917: fix PySpark import of scipy.special functionsUri Laserson2014-05-312-1/+25
| | | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-1917 Author: Uri Laserson <laserson@cloudera.com> Closes #866 from laserson/SPARK-1917 and squashes the following commits: d947e8c [Uri Laserson] Added test for scipy.special importing 1798bbd [Uri Laserson] SPARK-1917: fix PySpark import of scipy.special (cherry picked from commit 5e98967b612ccf026cb1cc5ff3ac8bf72d7e836e) Signed-off-by: Matei Zaharia <matei@databricks.com>
* Added doctest and method description in context.pyJyotiska NK2014-05-281-1/+14
| | | | | | | | | | | | | | Added doctest for method textFile and description for methods _initialize_context and _ensure_initialized in context.py Author: Jyotiska NK <jyotiska123@gmail.com> Closes #187 from jyotiska/pyspark_context and squashes the following commits: 356f945 [Jyotiska NK] Added doctest for textFile method in context.py 5b23686 [Jyotiska NK] Updated context.py with method descriptions (cherry picked from commit 9cff1dd25abc5e848720d853172ed42e35376fd0) Signed-off-by: Matei Zaharia <matei@databricks.com>
* Fix PEP8 violations in Python mllib.Reynold Xin2014-05-258-88/+78
| | | | | | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #871 from rxin/mllib-pep8 and squashes the following commits: 848416f [Reynold Xin] Fixed a typo in the previous cleanup (c -> sc). a8db4cd [Reynold Xin] Fix PEP8 violations in Python mllib. (cherry picked from commit d33d3c61ae9e4551aed0217e525a109e678298f2) Signed-off-by: Reynold Xin <rxin@apache.org>
* Python docstring update for sql.py.Reynold Xin2014-05-251-61/+63
| | | | | | | | | | | | | | | | | Mostly related to the following two rules in PEP8 and PEP257: - Line length < 72 chars. - First line should be a concise description of the function/class. Author: Reynold Xin <rxin@apache.org> Closes #869 from rxin/docstring-schemardd and squashes the following commits: 7cf0cbc [Reynold Xin] Updated sql.py for pep8 docstring. 0a4aef9 [Reynold Xin] Merge branch 'master' into docstring-schemardd 6678937 [Reynold Xin] Python docstring update for sql.py. (cherry picked from commit 14f0358b2a0a9b92526bdad6d501ab753459eaa0) Signed-off-by: Reynold Xin <rxin@apache.org>
* SPARK-1822: Some minor cleanup work on SchemaRDD.count()Reynold Xin2014-05-251-1/+4
| | | | | | | | | | | | | Minor cleanup following #841. Author: Reynold Xin <rxin@apache.org> Closes #868 from rxin/schema-count and squashes the following commits: 5442651 [Reynold Xin] SPARK-1822: Some minor cleanup work on SchemaRDD.count() (cherry picked from commit d66642e3978a76977414c2fdaedebaad35662667) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SPARK-1822] SchemaRDD.count() should use query optimizerKan Zhang2014-05-251-1/+13
| | | | | | | | | | | | | Author: Kan Zhang <kzhang@apache.org> Closes #841 from kanzhang/SPARK-1822 and squashes the following commits: 2f8072a [Kan Zhang] [SPARK-1822] Minor style update cf4baa4 [Kan Zhang] [SPARK-1822] Adding Scaladoc e67c910 [Kan Zhang] [SPARK-1822] SchemaRDD.count() should use optimizer (cherry picked from commit 6052db9dc10c996215658485e805200e4f0cf549) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SPARK-1900 / 1918] PySpark on YARN is brokenAndrew Or2014-05-241-2/+6
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | If I run the following on a YARN cluster ``` bin/spark-submit sheep.py --master yarn-client ``` it fails because of a mismatch in paths: `spark-submit` thinks that `sheep.py` resides on HDFS, and balks when it can't find the file there. A natural workaround is to add the `file:` prefix to the file: ``` bin/spark-submit file:/path/to/sheep.py --master yarn-client ``` However, this also fails. This time it is because python does not understand URI schemes. This PR fixes this by automatically resolving all paths passed as command line argument to `spark-submit` properly. This has the added benefit of keeping file and jar paths consistent across different cluster modes. For python, we strip the URI scheme before we actually try to run it. Much of the code is originally written by @mengxr. Tested on YARN cluster. More tests pending. Author: Andrew Or <andrewor14@gmail.com> Closes #853 from andrewor14/submit-paths and squashes the following commits: 0bb097a [Andrew Or] Format path correctly before adding it to PYTHONPATH 323b45c [Andrew Or] Include --py-files on PYTHONPATH for pyspark shell 3c36587 [Andrew Or] Improve error messages (minor) 854aa6a [Andrew Or] Guard against NPE if user gives pathological paths 6638a6b [Andrew Or] Fix spark-shell jar paths after #849 went in 3bb0359 [Andrew Or] Update more comments (minor) 2a1f8a0 [Andrew Or] Update comments (minor) 6af2c77 [Andrew Or] Merge branch 'master' of github.com:apache/spark into submit-paths a68c4d1 [Andrew Or] Handle Windows python file path correctly 427a250 [Andrew Or] Resolve paths properly for Windows a591a4a [Andrew Or] Update tests for resolving URIs 6c8621c [Andrew Or] Move resolveURIs to Utils db8255e [Andrew Or] Merge branch 'master' of github.com:apache/spark into submit-paths f542dce [Andrew Or] Fix outdated tests 691c4ce [Andrew Or] Ignore special primary resource names 5342ac7 [Andrew Or] Add missing space in error message 02f77f3 [Andrew Or] Resolve command line arguments to spark-submit properly (cherry picked from commit 5081a0a9d47ca31900ea4de570de2cbb0e063105) Signed-off-by: Tathagata Das <tathagata.das1565@gmail.com>
* [SPARK-1519] Support minPartitions param of wholeTextFiles() in PySparkKan Zhang2014-05-211-2/+10
| | | | | | | | | | | Author: Kan Zhang <kzhang@apache.org> Closes #697 from kanzhang/SPARK-1519 and squashes the following commits: 4f8d1ed [Kan Zhang] [SPARK-1519] Support minPartitions param of wholeTextFiles() in PySpark (cherry picked from commit f18fd05b513b136363c94adb3e5b841f8bf48134) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SPARK-1808] Route bin/pyspark through Spark submitAndrew Or2014-05-162-5/+7
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | **Problem.** For `bin/pyspark`, there is currently no other way to specify Spark configuration properties other than through `SPARK_JAVA_OPTS` in `conf/spark-env.sh`. However, this mechanism is supposedly deprecated. Instead, it needs to pick up configurations explicitly specified in `conf/spark-defaults.conf`. **Solution.** Have `bin/pyspark` invoke `bin/spark-submit`, like all of its counterparts in Scala land (i.e. `bin/spark-shell`, `bin/run-example`). This has the additional benefit of making the invocation of all the user facing Spark scripts consistent. **Details.** `bin/pyspark` inherently handles two cases: (1) running python applications and (2) running the python shell. For (1), Spark submit already handles running python applications. For cases in which `bin/pyspark` is given a python file, we can simply call pass the file directly to Spark submit and let it handle the rest. For case (2), `bin/pyspark` starts a python process as before, which launches the JVM as a sub-process. The existing code already provides a code path to do this. All we needed to change is to use `bin/spark-submit` instead of `spark-class` to launch the JVM. This requires modifications to Spark submit to handle the pyspark shell as a special case. This has been tested locally (OSX and Windows 7), on a standalone cluster, and on a YARN cluster. Running IPython also works as before, except now it takes in Spark submit arguments too. Author: Andrew Or <andrewor14@gmail.com> Closes #799 from andrewor14/pyspark-submit and squashes the following commits: bf37e36 [Andrew Or] Minor changes 01066fa [Andrew Or] bin/pyspark for Windows c8cb3bf [Andrew Or] Handle perverse app names (with escaped quotes) 1866f85 [Andrew Or] Windows is not cooperating 456d844 [Andrew Or] Guard against shlex hanging if PYSPARK_SUBMIT_ARGS is not set 7eebda8 [Andrew Or] Merge branch 'master' of github.com:apache/spark into pyspark-submit b7ba0d8 [Andrew Or] Address a few comments (minor) 06eb138 [Andrew Or] Use shlex instead of writing our own parser 05879fa [Andrew Or] Merge branch 'master' of github.com:apache/spark into pyspark-submit a823661 [Andrew Or] Fix --die-on-broken-pipe not propagated properly 6fba412 [Andrew Or] Deal with quotes + address various comments fe4c8a7 [Andrew Or] Update --help for bin/pyspark afe47bf [Andrew Or] Fix spark shell f04aaa4 [Andrew Or] Merge branch 'master' of github.com:apache/spark into pyspark-submit a371d26 [Andrew Or] Route bin/pyspark through Spark submit (cherry picked from commit 4b8ec6fcfd7a7ef0857d5b21917183c181301c95) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* Documentation: Encourage use of reduceByKey instead of groupByKey.Patrick Wendell2014-05-141-0/+4
| | | | | | | | | | | | Author: Patrick Wendell <pwendell@gmail.com> Closes #784 from pwendell/group-by-key and squashes the following commits: 9b4505f [Patrick Wendell] Small fix 6347924 [Patrick Wendell] Documentation: Encourage use of reduceByKey instead of groupByKey. (cherry picked from commit 21570b463388194877003318317aafd842800cac) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [FIX] do not load defaults when testing SparkConf in pysparkXiangrui Meng2014-05-141-1/+1
| | | | | | | | | | | | | The default constructor loads default properties, which can fail the test. Author: Xiangrui Meng <meng@databricks.com> Closes #775 from mengxr/pyspark-conf-fix and squashes the following commits: 83ef6c4 [Xiangrui Meng] do not load defaults when testing SparkConf in pyspark (cherry picked from commit 94c6c06ea13032b80610b3f54401d2ef2aa4874a) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SQL] Make it possible to create Java/Python SQLContexts from an existing ↵Michael Armbrust2014-05-131-2/+5
| | | | | | | | | | | | | Scala SQLContext. Author: Michael Armbrust <michael@databricks.com> Closes #761 from marmbrus/existingContext and squashes the following commits: 4651051 [Michael Armbrust] Make it possible to create Java/Python SQLContexts from an existing Scala SQLContext. (cherry picked from commit 44233865cf8020741d862d33cc660c88e9315dea) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SPARK-1690] Tolerating empty elements when saving Python RDD to text filesKan Zhang2014-05-101-0/+8
| | | | | | | | | | | | | | Tolerate empty strings in PythonRDD Author: Kan Zhang <kzhang@apache.org> Closes #644 from kanzhang/SPARK-1690 and squashes the following commits: c62ad33 [Kan Zhang] Adding Python doctest 473ec4b [Kan Zhang] [SPARK-1690] Tolerating empty elements when saving Python RDD to text files (cherry picked from commit 6c2691d0a0ed46a8b8093e05a4708706cf187168) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* Add Python includes to path before depickling broadcast valuesBouke van der Bijl2014-05-101-7/+7
| | | | | | | | | | | | | | | This fixes https://issues.apache.org/jira/browse/SPARK-1731 by adding the Python includes to the PYTHONPATH before depickling the broadcast values @airhorns Author: Bouke van der Bijl <boukevanderbijl@gmail.com> Closes #656 from bouk/python-includes-before-broadcast and squashes the following commits: 7b0dfe4 [Bouke van der Bijl] Add Python includes to path before depickling broadcast values (cherry picked from commit 3776f2f283842543ff766398292532c6e94221cc) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1743][MLLIB] add loadLibSVMFile and saveAsLibSVMFile to pysparkXiangrui Meng2014-05-072-2/+178
| | | | | | | | | | | | | | | | Make loading/saving labeled data easier for pyspark users. Also changed type check in `SparseVector` to allow numpy integers. Author: Xiangrui Meng <meng@databricks.com> Closes #672 from mengxr/pyspark-mllib-util and squashes the following commits: 2943fa7 [Xiangrui Meng] format docs d61668d [Xiangrui Meng] add loadLibSVMFile and saveAsLibSVMFile to pyspark (cherry picked from commit 3188553f73970270717a7fee4a116e29ad4becc9) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* SPARK-1579: Clean up PythonRDD and avoid swallowing IOExceptionsAaron Davidson2014-05-072-2/+14
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch includes several cleanups to PythonRDD, focused around fixing [SPARK-1579](https://issues.apache.org/jira/browse/SPARK-1579) cleanly. Listed in order of approximate importance: - The Python daemon waits for Spark to close the socket before exiting, in order to avoid causing spurious IOExceptions in Spark's `PythonRDD::WriterThread`. - Removes the Python Monitor Thread, which polled for task cancellations in order to kill the Python worker. Instead, we do this in the onCompleteCallback, since this is guaranteed to be called during cancellation. - Adds a "completed" variable to TaskContext to avoid the issue noted in [SPARK-1019](https://issues.apache.org/jira/browse/SPARK-1019), where onCompleteCallbacks may be execution-order dependent. Along with this, I removed the "context.interrupted = true" flag in the onCompleteCallback. - Extracts PythonRDD::WriterThread to its own class. Since this patch provides an alternative solution to [SPARK-1019](https://issues.apache.org/jira/browse/SPARK-1019), I did test it with ``` sc.textFile("latlon.tsv").take(5) ``` many times without error. Additionally, in order to test the unswallowed exceptions, I performed ``` sc.textFile("s3n://<big file>").count() ``` and cut my internet during execution. Prior to this patch, we got the "stdin writer exited early" message, which was unhelpful. Now, we get the SocketExceptions propagated through Spark to the user and get proper (though unsuccessful) task retries. Author: Aaron Davidson <aaron@databricks.com> Closes #640 from aarondav/pyspark-io and squashes the following commits: b391ff8 [Aaron Davidson] Detect "clean socket shutdowns" and stop waiting on the socket c0c49da [Aaron Davidson] SPARK-1579: Clean up PythonRDD and avoid swallowing IOExceptions (cherry picked from commit 3308722ca03f2bfa792e9a2cff9c894b967983d9) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1460] Returning SchemaRDD instead of normal RDD on Set operations...Kan Zhang2014-05-071-0/+29
| | | | | | | | | | | | | | | ... that do not change schema Author: Kan Zhang <kzhang@apache.org> Closes #448 from kanzhang/SPARK-1460 and squashes the following commits: 111e388 [Kan Zhang] silence MiMa errors in EdgeRDD and VertexRDD 91dc787 [Kan Zhang] Taking into account newly added Ordering param 79ed52a [Kan Zhang] [SPARK-1460] Returning SchemaRDD on Set operations that do not change schema (cherry picked from commit 967635a2425a769b932eea0984fe697d6721cab0) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* SPARK-1637: Clean up examples for 1.0Sandeep2014-05-0610-574/+0
| | | | | | | | | | | | | | | | | | | | | - [x] Move all of them into subpackages of org.apache.spark.examples (right now some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib) - [x] Move Python examples into examples/src/main/python - [x] Update docs to reflect these changes Author: Sandeep <sandeep@techaddict.me> This patch had conflicts when merged, resolved by Committer: Matei Zaharia <matei@databricks.com> Closes #571 from techaddict/SPARK-1637 and squashes the following commits: 47ef86c [Sandeep] Changes based on Discussions on PR, removing use of RawTextHelper from examples 8ed2d3f [Sandeep] Docs Updated for changes, Change for java examples 5f96121 [Sandeep] Move Python examples into examples/src/main/python 0a8dd77 [Sandeep] Move all Scala Examples to org.apache.spark.examples (some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib) (cherry picked from commit a000b5c3b0438c17e9973df4832c320210c29c27) Signed-off-by: Matei Zaharia <matei@databricks.com>
* [SPARK-1549] Add Python support to spark-submitMatei Zaharia2014-05-063-58/+168
| | | | | | | | | | | | | | | | | | | | | | | | | This PR updates spark-submit to allow submitting Python scripts (currently only with deploy-mode=client, but that's all that was supported before) and updates the PySpark code to properly find various paths, etc. One significant change is that we assume we can always find the Python files either from the Spark assembly JAR (which will happen with the Maven assembly build in make-distribution.sh) or from SPARK_HOME (which will exist in local mode even if you use sbt assembly, and should be enough for testing). This means we no longer need a weird hack to modify the environment for YARN. This patch also updates the Python worker manager to run python with -u, which means unbuffered output (send it to our logs right away instead of waiting a while after stuff was written); this should simplify debugging. In addition, it fixes https://issues.apache.org/jira/browse/SPARK-1709, setting the main class from a JAR's Main-Class attribute if not specified by the user, and fixes a few help strings and style issues in spark-submit. In the future we may want to make the `pyspark` shell use spark-submit as well, but it seems unnecessary for 1.0. Author: Matei Zaharia <matei@databricks.com> Closes #664 from mateiz/py-submit and squashes the following commits: 15e9669 [Matei Zaharia] Fix some uses of path.separator property 051278c [Matei Zaharia] Small style fixes 0afe886 [Matei Zaharia] Add license headers 4650412 [Matei Zaharia] Add pyFiles to PYTHONPATH in executors, remove old YARN stuff, add tests 15f8e1e [Matei Zaharia] Set PYTHONPATH in PythonWorkerFactory in case it wasn't set from outside 47c0655 [Matei Zaharia] More work to make spark-submit work with Python: d4375bd [Matei Zaharia] Clean up description of spark-submit args a bit and add Python ones (cherry picked from commit 951a5d939863b42da83ac2569d5e9d7ed680e119) Signed-off-by: Matei Zaharia <matei@databricks.com>
* [SPARK-1594][MLLIB] Cleaning up MLlib APIs and guideXiangrui Meng2014-05-051-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Final pass before the v1.0 release. * Remove `VectorRDDs` * Move `BinaryClassificationMetrics` from `evaluation.binary` to `evaluation` * Change default value of `addIntercept` to false and allow to add intercept in Ridge and Lasso. * Clean `DecisionTree` package doc and test suite. * Mark model constructors `private[spark]` * Rename `loadLibSVMData` to `loadLibSVMFile` and hide `LabelParser` from users. * Add `saveAsLibSVMFile`. * Add `appendBias` to `MLUtils`. Author: Xiangrui Meng <meng@databricks.com> Closes #524 from mengxr/mllib-cleaning and squashes the following commits: 295dc8b [Xiangrui Meng] update loadLibSVMFile doc 1977ac1 [Xiangrui Meng] fix doc of appendBias 649fcf0 [Xiangrui Meng] rename loadLibSVMData to loadLibSVMFile; hide LabelParser from user APIs 54b812c [Xiangrui Meng] add appendBias a71e7d0 [Xiangrui Meng] add saveAsLibSVMFile d976295 [Xiangrui Meng] Merge branch 'master' into mllib-cleaning b7e5cec [Xiangrui Meng] remove some experimental annotations and make model constructors private[mllib] 9b02b93 [Xiangrui Meng] minor code style update a593ddc [Xiangrui Meng] fix python tests fc28c18 [Xiangrui Meng] mark more classes experimental f6cbbff [Xiangrui Meng] fix Java tests 0af70b0 [Xiangrui Meng] minor 6e139ef [Xiangrui Meng] Merge branch 'master' into mllib-cleaning 94e6dce [Xiangrui Meng] move BinaryLabelCounter and BinaryConfusionMatrixImpl to evaluation.binary df34907 [Xiangrui Meng] clean DecisionTreeSuite to use LocalSparkContext c81807f [Xiangrui Meng] set the default value of AddIntercept to false 03389c0 [Xiangrui Meng] allow to add intercept in Ridge and Lasso c66c56f [Xiangrui Meng] move tree md to package object doc a2695df [Xiangrui Meng] update guide for BinaryClassificationMetrics 9194f4c [Xiangrui Meng] move BinaryClassificationMetrics one level up 1c1a0e3 [Xiangrui Meng] remove VectorRDDs because it only contains one function that is not necessary for us to maintain (cherry picked from commit 98750a74daf7e2b873da85d2d5067f47e3bbdc4e) Signed-off-by: Matei Zaharia <matei@databricks.com>
* SPARK-1004. PySpark on YARNSandy Ryza2014-04-295-11/+33
| | | | | | | | | | | | | | | This reopens https://github.com/apache/incubator-spark/pull/640 against the new repo Author: Sandy Ryza <sandy@cloudera.com> Closes #30 from sryza/sandy-spark-1004 and squashes the following commits: 89889d4 [Sandy Ryza] Move unzipping py4j to the generate-resources phase so that it gets included in the jar the first time 5165a02 [Sandy Ryza] Fix docs fd0df79 [Sandy Ryza] PySpark on YARN (cherry picked from commit ff5be9a41e52454e0f9cae83dd1fd50fbeaa684a) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1674] fix interrupted system call error in pyspark's RDD.pipeXiangrui Meng2014-04-291-3/+3
| | | | | | | | | | | | | `RDD.pipe`'s doctest throws interrupted system call exception on Mac. It can be fixed by wrapping `pipe.stdout.readline` in an iterator. Author: Xiangrui Meng <meng@databricks.com> Closes #594 from mengxr/pyspark-pipe and squashes the following commits: cc32ac9 [Xiangrui Meng] fix interrupted system call error in pyspark's RDD.pipe (cherry picked from commit d33df1c151f8e982edd7324edc06d8cd3024dd34) Signed-off-by: Matei Zaharia <matei@databricks.com>
* Minor fix to python table caching API.Michael Armbrust2014-04-291-2/+2
| | | | | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #585 from marmbrus/pythonCacheTable and squashes the following commits: 7ec1f91 [Michael Armbrust] Minor fix to python table caching API. (cherry picked from commit 497be3ca2d8f0600e927f8f036177fcd3bb6e229) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* SPARK-1242 Add aggregate to python rddHolden Karau2014-04-241-2/+29
| | | | | | | | | | | | | | Author: Holden Karau <holden@pigscanfly.ca> Closes #139 from holdenk/add_aggregate_to_python_api and squashes the following commits: 0f39ae3 [Holden Karau] Merge in master 4879c75 [Holden Karau] CR feedback, fix issue with empty RDDs in aggregate 70b4724 [Holden Karau] Style fixes from code review 96b047b [Holden Karau] Add aggregate to python rdd (cherry picked from commit e03bc379ee03fde0ee4fa578d3c39aae35c63f01) Signed-off-by: Matei Zaharia <matei@databricks.com>
* [SPARK-986]: Job cancelation for PySparkAhir Reddy2014-04-241-3/+49
| | | | | | | | | | | | | | | | | | | | | | | | | | * Additions to the PySpark API to cancel jobs * Monitor Thread in PythonRDD to kill Python workers if a task is interrupted Author: Ahir Reddy <ahirreddy@gmail.com> Closes #541 from ahirreddy/python-cancel and squashes the following commits: dfdf447 [Ahir Reddy] Changed success -> completed and made logging message clearer 6c860ab [Ahir Reddy] PR Comments 4b4100a [Ahir Reddy] Success flag adba6ed [Ahir Reddy] Destroy python workers 27a2f8f [Ahir Reddy] Start the writer thread... d422f7b [Ahir Reddy] Remove unnecesssary vals adda337 [Ahir Reddy] Busy wait on the ocntext.interrupted flag, and then kill the python worker d9e472f [Ahir Reddy] Revert "removed unnecessary vals" 5b9cae5 [Ahir Reddy] removed unnecessary vals 07b54d9 [Ahir Reddy] Fix canceling unit test 8ae9681 [Ahir Reddy] Don't interrupt worker 7722342 [Ahir Reddy] Monitor Thread for python workers db04e16 [Ahir Reddy] Added canceling api to PySpark (cherry picked from commit e53eb4f0159ebd4d72c4bbc3586fdfc66ccacab7) Signed-off-by: Matei Zaharia <matei@databricks.com>
* SPARK-1438 RDD.sample() make seed param optionalArun Ramakrishnan2014-04-242-24/+20
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | copying form previous pull request https://github.com/apache/spark/pull/462 Its probably better to let the underlying language implementation take care of the default . This was easier to do with python as the default value for seed in random and numpy random is None. In Scala/Java side it might mean propagating an Option or null(oh no!) down the chain until where the Random is constructed. But, looks like the convention in some other methods was to use System.nanoTime. So, followed that convention. Conflict with overloaded method in sql.SchemaRDD.sample which also defines default params. sample(fraction, withReplacement=false, seed=math.random) Scala does not allow more than one overloaded to have default params. I believe the author intended to override the RDD.sample method and not overload it. So, changed it. If backward compatible is important, 3 new method can be introduced (without default params) like this sample(fraction) sample(fraction, withReplacement) sample(fraction, withReplacement, seed) Added some tests for the scala RDD takeSample method. Author: Arun Ramakrishnan <smartnut007@gmail.com> This patch had conflicts when merged, resolved by Committer: Matei Zaharia <matei@databricks.com> Closes #477 from smartnut007/master and squashes the following commits: 07bb06e [Arun Ramakrishnan] SPARK-1438 fixing more space formatting issues b9ebfe2 [Arun Ramakrishnan] SPARK-1438 removing redundant import of random in python rddsampler 8d05b1a [Arun Ramakrishnan] SPARK-1438 RDD . Replace System.nanoTime with a Random generated number. python: use a separate instance of Random instead of seeding language api global Random instance. 69619c6 [Arun Ramakrishnan] SPARK-1438 fix spacing issue 0c247db [Arun Ramakrishnan] SPARK-1438 RDD language apis to support optional seed in RDD methods sample/takeSample (cherry picked from commit 35e3d199f04fba3230625002a458d43b9578b2e8) Signed-off-by: Matei Zaharia <matei@databricks.com>
* fix bugs of dot in pythonXusen Yin2014-04-222-5/+5
| | | | | | | | | | | | | | | | | If there are no `transpose()` in `self.theta`, a *ValueError: matrices are not aligned* is occurring. The former test case just ignore this situation. Author: Xusen Yin <yinxusen@gmail.com> Closes #463 from yinxusen/python-naive-bayes and squashes the following commits: fcbe3bc [Xusen Yin] fix bugs of dot in python (cherry picked from commit c919798f0912dc03c8365b9a384d9ee6d5b25c51) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1439, SPARK-1440] Generate unified Scaladoc across projects and JavadocsMatei Zaharia2014-04-211-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | I used the sbt-unidoc plugin (https://github.com/sbt/sbt-unidoc) to create a unified Scaladoc of our public packages, and generate Javadocs as well. One limitation is that I haven't found an easy way to exclude packages in the Javadoc; there is a SBT task that identifies Java sources to run javadoc on, but it's been very difficult to modify it from outside to change what is set in the unidoc package. Some SBT-savvy people should help with this. The Javadoc site also lacks package-level descriptions and things like that, so we may want to look into that. We may decide not to post these right now if it's too limited compared to the Scala one. Example of the built doc site: http://people.csail.mit.edu/matei/spark-unified-docs/ Author: Matei Zaharia <matei@databricks.com> This patch had conflicts when merged, resolved by Committer: Patrick Wendell <pwendell@gmail.com> Closes #457 from mateiz/better-docs and squashes the following commits: a63d4a3 [Matei Zaharia] Skip Java/Scala API docs for Python package 5ea1f43 [Matei Zaharia] Fix links to Java classes in Java guide, fix some JS for scrolling to anchors on page load f05abc0 [Matei Zaharia] Don't include java.lang package names 995e992 [Matei Zaharia] Skip internal packages and class names with $ in JavaDoc a14a93c [Matei Zaharia] typo 76ce64d [Matei Zaharia] Add groups to Javadoc index page, and a first package-info.java ed6f994 [Matei Zaharia] Generate JavaDoc as well, add titles, update doc site to use unified docs acb993d [Matei Zaharia] Add Unidoc plugin for the projects we want Unidoced (cherry picked from commit fc7838470465474f777bd17791c1bb5f9c348521) Conflicts: project/SparkBuild.scala
* Updating versions for Spark 1.0Patrick Wendell2014-04-211-1/+1
|
* Add insertInto and saveAsTable to Python API.Michael Armbrust2014-04-191-0/+13
| | | | | | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #447 from marmbrus/pythonInsert and squashes the following commits: c7ab692 [Michael Armbrust] Keep docstrings < 72 chars. ff62870 [Michael Armbrust] Add insertInto and saveAsTable to Python API. (cherry picked from commit 10d04213ffda9c64b7e39c7debc433be8ea343c7) Signed-off-by: Matei Zaharia <matei@databricks.com>
* Fixed broken pyspark shell.Reynold Xin2014-04-181-2/+2
| | | | | | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #444 from rxin/pyspark and squashes the following commits: fc11356 [Reynold Xin] Made the PySpark shell version checking compatible with Python 2.6. 571830b [Reynold Xin] Fixed broken pyspark shell. (cherry picked from commit 81a152c54bff21854de731476f62c8fd50dd29f7) Signed-off-by: Reynold Xin <rxin@apache.org>
* SPARK-1483: Rename minSplits to minPartitions in public APIsCodingCat2014-04-181-3/+3
| | | | | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-1483 From the original JIRA: " The parameter name is part of the public API in Scala and Python, since you can pass named parameters to a method, so we should name it to this more descriptive term. Everywhere else we refer to "splits" as partitions." - @mateiz Author: CodingCat <zhunansjtu@gmail.com> Closes #430 from CodingCat/SPARK-1483 and squashes the following commits: 4b60541 [CodingCat] deprecate defaultMinSplits ba2c663 [CodingCat] Rename minSplits to minPartitions in public APIs (cherry picked from commit e31c8ffca65e0e5cd5f1a6229f3d654a24b7b18c) Signed-off-by: Reynold Xin <rxin@apache.org>
* FIX: Don't build Hive in assembly unless running Hive tests.Patrick Wendell2014-04-171-1/+3
| | | | | | | | | | This will make the tests more stable when not running SQL tests. Author: Patrick Wendell <pwendell@gmail.com> Closes #439 from pwendell/hive-tests and squashes the following commits: 88a6032 [Patrick Wendell] FIX: Don't build Hive in assembly unless running Hive tests.
* [python alternative] pyspark require Python2, failing if system default is ↵AbhishekKr2014-04-161-6/+14
| | | | | | | | | | | | | | | Py3 from shell.py Python alternative for https://github.com/apache/spark/pull/392; managed from shell.py Author: AbhishekKr <abhikumar163@gmail.com> Closes #399 from abhishekkr/pyspark_shell and squashes the following commits: 134bdc9 [AbhishekKr] pyspark require Python2, failing if system default is Py3 from shell.py (cherry picked from commit bb76eae1b50e4bf18360220110f7d0a4bee672ec) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SQL] SPARK-1424 Generalize insertIntoTable functions on SchemaRDDsMichael Armbrust2014-04-151-4/+10
| | | | | | | | | | | | | | | | | | | | This makes it possible to create tables and insert into them using the DSL and SQL for the scala and java apis. Author: Michael Armbrust <michael@databricks.com> Closes #354 from marmbrus/insertIntoTable and squashes the following commits: 6c6f227 [Michael Armbrust] Create random temporary files in python parquet unit tests. f5e6d5c [Michael Armbrust] Merge remote-tracking branch 'origin/master' into insertIntoTable 765c506 [Michael Armbrust] Add to JavaAPI. 77b512c [Michael Armbrust] typos. 5c3ef95 [Michael Armbrust] use names for boolean args. 882afdf [Michael Armbrust] Change createTableAs to saveAsTable. Clean up api annotations. d07d94b [Michael Armbrust] Add tests, support for creating parquet files and hive tables. fa3fe81 [Michael Armbrust] Make insertInto available on JavaSchemaRDD as well. Add createTableAs function. (cherry picked from commit 273c2fd08deb49e970ec471c857dcf0b2953f922) Signed-off-by: Reynold Xin <rxin@apache.org>
* [WIP] SPARK-1430: Support sparse data in Python MLlibMatei Zaharia2014-04-1512-139/+1178
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR adds a SparseVector class in PySpark and updates all the regression, classification and clustering algorithms and models to support sparse data, similar to MLlib. I chose to add this class because SciPy is quite difficult to install in many environments (more so than NumPy), but I plan to add support for SciPy sparse vectors later too, and make the methods work transparently on objects of either type. On the Scala side, we keep Python sparse vectors sparse and pass them to MLlib. We always return dense vectors from our models. Some to-do items left: - [x] Support SciPy's scipy.sparse matrix objects when SciPy is available. We can easily add a function to convert these to our own SparseVector. - [x] MLlib currently uses a vector with one extra column on the left to represent what we call LabeledPoint in Scala. Do we really want this? It may get annoying once you deal with sparse data since you must add/subtract 1 to each feature index when training. We can remove this API in 1.0 and use tuples for labeling. - [x] Explain how to use these in the Python MLlib docs. CC @mengxr, @joshrosen Author: Matei Zaharia <matei@databricks.com> Closes #341 from mateiz/py-ml-update and squashes the following commits: d52e763 [Matei Zaharia] Remove no-longer-needed slice code and handle review comments ea5a25a [Matei Zaharia] Fix remaining uses of copyto() after merge b9f97a3 [Matei Zaharia] Fix test 1e1bd0f [Matei Zaharia] Add MLlib logistic regression example in Python 88bc01f [Matei Zaharia] Clean up inheritance of LinearModel in Python, and expose its parametrs 37ab747 [Matei Zaharia] Fix some examples and docs due to changes in MLlib API da0f27e [Matei Zaharia] Added a MLlib K-means example and updated docs to discuss sparse data c48e85a [Matei Zaharia] Added some tests for passing lists as input, and added mllib/tests.py to run-tests script. a07ba10 [Matei Zaharia] Fix some typos and calculation of initial weights 74eefe7 [Matei Zaharia] Added LabeledPoint class in Python 889dde8 [Matei Zaharia] Support scipy.sparse matrices in all our algorithms and models ab244d1 [Matei Zaharia] Allow SparseVectors to be initialized using a dict a5d6426 [Matei Zaharia] Add linalg.py to run-tests script 0e7a3d8 [Matei Zaharia] Keep vectors sparse in Java when reading LabeledPoints eaee759 [Matei Zaharia] Update regression, classification and clustering models for sparse data 2abbb44 [Matei Zaharia] Further work to get linear models working with sparse data 154f45d [Matei Zaharia] Update docs, name some magic values 881fef7 [Matei Zaharia] Added a sparse vector in Python and made Java-Python format more compact (cherry picked from commit 63ca581d9c84176549b1ea0a1d8d7c0cca982acc) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* SPARK-1426: Make MLlib work with NumPy versions older than 1.7Sandeep2014-04-152-8/+9
| | | | | | | | | | | | | | Currently it requires NumPy 1.7 due to using the copyto method (http://docs.scipy.org/doc/numpy/reference/generated/numpy.copyto.html) for extracting data out of an array. Replace it with a fallback Author: Sandeep <sandeep@techaddict.me> Closes #391 from techaddict/1426 and squashes the following commits: d365962 [Sandeep] SPARK-1426: Make MLlib work with NumPy versions older than 1.7 Currently it requires NumPy 1.7 due to using the copyto method (http://docs.scipy.org/doc/numpy/reference/generated/numpy.copyto.html) for extracting data out of an array. Replace it with a fallback (cherry picked from commit df360917990ad95dde3c8e016ec42507d1566355) Signed-off-by: Matei Zaharia <matei@databricks.com>
* SPARK-1374: PySpark API for SparkSQLAhir Reddy2014-04-154-1/+388
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | An initial API that exposes SparkSQL functionality in PySpark. A PythonRDD composed of dictionaries, with string keys and primitive values (boolean, float, int, long, string) can be converted into a SchemaRDD that supports sql queries. ``` from pyspark.context import SQLContext sqlCtx = SQLContext(sc) rdd = sc.parallelize([{"field1" : 1, "field2" : "row1"}, {"field1" : 2, "field2": "row2"}, {"field1" : 3, "field2": "row3"}]) srdd = sqlCtx.applySchema(rdd) sqlCtx.registerRDDAsTable(srdd, "table1") srdd2 = sqlCtx.sql("SELECT field1 AS f1, field2 as f2 from table1") srdd2.collect() ``` The last line yields ```[{"f1" : 1, "f2" : "row1"}, {"f1" : 2, "f2": "row2"}, {"f1" : 3, "f2": "row3"}]``` Author: Ahir Reddy <ahirreddy@gmail.com> Author: Michael Armbrust <michael@databricks.com> Closes #363 from ahirreddy/pysql and squashes the following commits: 0294497 [Ahir Reddy] Updated log4j properties to supress Hive Warns 307d6e0 [Ahir Reddy] Style fix 6f7b8f6 [Ahir Reddy] Temporary fix MIMA checker. Since we now assemble Spark jar with Hive, we don't want to check the interfaces of all of our hive dependencies 3ef074a [Ahir Reddy] Updated documentation because classes moved to sql.py 29245bf [Ahir Reddy] Cache underlying SchemaRDD instead of generating and caching PythonRDD f2312c7 [Ahir Reddy] Moved everything into sql.py a19afe4 [Ahir Reddy] Doc fixes 6d658ba [Ahir Reddy] Remove the metastore directory created by the HiveContext tests in SparkSQL 521ff6d [Ahir Reddy] Trying to get spark to build with hive ab95eba [Ahir Reddy] Set SPARK_HIVE=true on jenkins ded03e7 [Ahir Reddy] Added doc test for HiveContext 22de1d4 [Ahir Reddy] Fixed maven pyrolite dependency e4da06c [Ahir Reddy] Display message if hive is not built into spark 227a0be [Michael Armbrust] Update API links. Fix Hive example. 58e2aa9 [Michael Armbrust] Build Docs for pyspark SQL Api. Minor fixes. 4285340 [Michael Armbrust] Fix building of Hive API Docs. 38a92b0 [Michael Armbrust] Add note to future non-python developers about python docs. 337b201 [Ahir Reddy] Changed com.clearspring.analytics stream version from 2.4.0 to 2.5.1 to match SBT build, and added pyrolite to maven build 40491c9 [Ahir Reddy] PR Changes + Method Visibility 1836944 [Michael Armbrust] Fix comments. e00980f [Michael Armbrust] First draft of python sql programming guide. b0192d3 [Ahir Reddy] Added Long, Double and Boolean as usable types + unit test f98a422 [Ahir Reddy] HiveContexts 79621cf [Ahir Reddy] cleaning up cruft b406ba0 [Ahir Reddy] doctest formatting 20936a5 [Ahir Reddy] Added tests and documentation e4d21b4 [Ahir Reddy] Added pyrolite dependency 79f739d [Ahir Reddy] added more tests 7515ba0 [Ahir Reddy] added more tests :) d26ec5e [Ahir Reddy] added test e9f5b8d [Ahir Reddy] adding tests 906d180 [Ahir Reddy] added todo explaining cost of creating Row object in python 251f99d [Ahir Reddy] for now only allow dictionaries as input 09b9980 [Ahir Reddy] made jrdd explicitly lazy c608947 [Ahir Reddy] SchemaRDD now has all RDD operations 725c91e [Ahir Reddy] awesome row objects 55d1c76 [Ahir Reddy] return row objects 4fe1319 [Ahir Reddy] output dictionaries correctly be079de [Ahir Reddy] returning dictionaries works cd5f79f [Ahir Reddy] Switched to using Scala SQLContext e948bd9 [Ahir Reddy] yippie 4886052 [Ahir Reddy] even better c0fb1c6 [Ahir Reddy] more working 043ca85 [Ahir Reddy] working 5496f9f [Ahir Reddy] doesn't crash b8b904b [Ahir Reddy] Added schema rdd class 67ba875 [Ahir Reddy] java to python, and python to java bcc0f23 [Ahir Reddy] Java to python ab6025d [Ahir Reddy] compiling (cherry picked from commit c99bcb7feaa761c5826f2e1d844d0502a3b79538) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* Set spark.executor.uri from environment variable (needed by Mesos)Ivan Wick2014-04-101-0/+3
| | | | | | | | | | | | | | | | The Mesos backend uses this property when setting up a slave process. It is similarly set in the Scala repl (org.apache.spark.repl.SparkILoop), but I couldn't find any analogous for pyspark. Author: Ivan Wick <ivanwick+github@gmail.com> This patch had conflicts when merged, resolved by Committer: Matei Zaharia <matei@databricks.com> Closes #311 from ivanwick/master and squashes the following commits: da0c3e4 [Ivan Wick] Set spark.executor.uri from environment variable (needed by Mesos) (cherry picked from commit 5cd11d51c19321981a6234a7765c7a5be6913433) Signed-off-by: Matei Zaharia <matei@databricks.com>
* SPARK-1428: MLlib should convert non-float64 NumPy arrays to float64 instead ↵Sandeep2014-04-101-4/+14
| | | | | | | | | | | | | of complaining Author: Sandeep <sandeep@techaddict.me> Closes #356 from techaddict/1428 and squashes the following commits: 3bdf5f6 [Sandeep] SPARK-1428: MLlib should convert non-float64 NumPy arrays to float64 instead of complaining (cherry picked from commit 3bd312940e2f5250edaf3e88d6c23de25bb1d0a9) Signed-off-by: Matei Zaharia <matei@databricks.com>
* Spark 1271: Co-Group and Group-By should pass Iterable[X]Holden Karau2014-04-083-7/+41
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Author: Holden Karau <holden@pigscanfly.ca> Closes #242 from holdenk/spark-1320-cogroupandgroupshouldpassiterator and squashes the following commits: f289536 [Holden Karau] Fix bad merge, should have been Iterable rather than Iterator 77048f8 [Holden Karau] Fix merge up to master d3fe909 [Holden Karau] use toSeq instead 7a092a3 [Holden Karau] switch resultitr to resultiterable eb06216 [Holden Karau] maybe I should have had a coffee first. use correct import for guava iterables c5075aa [Holden Karau] If guava 14 had iterables 2d06e10 [Holden Karau] Fix Java 8 cogroup tests for the new API 11e730c [Holden Karau] Fix streaming tests 66b583d [Holden Karau] Fix the core test suite to compile 4ed579b [Holden Karau] Refactor from iterator to iterable d052c07 [Holden Karau] Python tests now pass with iterator pandas 3bcd81d [Holden Karau] Revert "Try and make pickling list iterators work" cd1e81c [Holden Karau] Try and make pickling list iterators work c60233a [Holden Karau] Start investigating moving to iterators for python API like the Java/Scala one. tl;dr: We will have to write our own iterator since the default one doesn't pickle well 88a5cef [Holden Karau] Fix cogroup test in JavaAPISuite for streaming a5ee714 [Holden Karau] oops, was checking wrong iterator e687f21 [Holden Karau] Fix groupbykey test in JavaAPISuite of streaming ec8cc3e [Holden Karau] Fix test issues\! 4b0eeb9 [Holden Karau] Switch cast in PairDStreamFunctions fa395c9 [Holden Karau] Revert "Add a join based on the problem in SVD" ec99e32 [Holden Karau] Revert "Revert this but for now put things in list pandas" b692868 [Holden Karau] Revert 7e533f7 [Holden Karau] Fix the bug 8a5153a [Holden Karau] Revert me, but we have some stuff to debug b4e86a9 [Holden Karau] Add a join based on the problem in SVD c4510e2 [Holden Karau] Revert this but for now put things in list pandas b4e0b1d [Holden Karau] Fix style issues 71e8b9f [Holden Karau] I really need to stop calling size on iterators, it is the path of sadness. b1ae51a [Holden Karau] Fix some of the types in the streaming JavaAPI suite. Probably still needs more work 37888ec [Holden Karau] core/tests now pass 249abde [Holden Karau] org.apache.spark.rdd.PairRDDFunctionsSuite passes 6698186 [Holden Karau] Revert "I think this might be a bad rabbit hole. Started work to make CoGroupedRDD use iterator and then went crazy" fe992fe [Holden Karau] hmmm try and fix up basic operation suite 172705c [Holden Karau] Fix Java API suite caafa63 [Holden Karau] I think this might be a bad rabbit hole. Started work to make CoGroupedRDD use iterator and then went crazy 88b3329 [Holden Karau] Fix groupbykey to actually give back an iterator 4991af6 [Holden Karau] Fix some tests be50246 [Holden Karau] Calling size on an iterator is not so good if we want to use it after 687ffbc [Holden Karau] This is the it compiles point of replacing Seq with Iterator and JList with JIterator in the groupby and cogroup signatures
* SPARK-1099: Introduce local[*] mode to infer number of coresAaron Davidson2014-04-071-1/+1
| | | | | | | | | | | This is the default mode for running spark-shell and pyspark, intended to allow users running spark for the first time to see the performance benefits of using multiple cores, while not breaking backwards compatibility for users who use "local" mode and expect exactly 1 core. Author: Aaron Davidson <aaron@databricks.com> Closes #182 from aarondav/110 and squashes the following commits: a88294c [Aaron Davidson] Rebased changes for new spark-shell a9f393e [Aaron Davidson] SPARK-1099: Introduce local[*] mode to infer number of cores
* SPARK-1421. Make MLlib work on Python 2.6Matei Zaharia2014-04-052-6/+11
| | | | | | | | | | | The reason it wasn't working was passing a bytearray to stream.write(), which is not supported in Python 2.6 but is in 2.7. (This array came from NumPy when we converted data to send it over to Java). Now we just convert those bytearrays to strings of bytes, which preserves nonprintable characters as well. Author: Matei Zaharia <matei@databricks.com> Closes #335 from mateiz/mllib-python-2.6 and squashes the following commits: f26c59f [Matei Zaharia] Update docs to no longer say we need Python 2.7 a84d6af [Matei Zaharia] SPARK-1421. Make MLlib work on Python 2.6
generated by cgit v1.2.3 (git 2.39.1) at 2024-09-12 23:57:30 +0000