- Aug 04, 2014
-
-
Davies Liu authored
Add an hook to replace original namedtuple with an pickable one, then namedtuple could be used in RDDs. PS: pyspark should be import BEFORE "from collections import namedtuple" Author: Davies Liu <davies.liu@gmail.com> Closes #1623 from davies/namedtuple and squashes the following commits: 045dad8 [Davies Liu] remove unrelated code changes 4132f32 [Davies Liu] address comment 55b1c1a [Davies Liu] fix tests 61f86eb [Davies Liu] replace all the reference of namedtuple to new hacked one 98df6c6 [Davies Liu] Merge branch 'master' of github.com:apache/spark into namedtuple f7b1bde [Davies Liu] add hack for CloudPickleSerializer 0c5c849 [Davies Liu] Merge branch 'master' of github.com:apache/spark into namedtuple 21991e6 [Davies Liu] hack namedtuple in __main__ module, make it picklable. 93b03b8 [Davies Liu] pickable namedtuple
-
- Aug 03, 2014
-
-
Davies Liu authored
Kill only the python worker related to cancelled tasks. The daemon will start a background thread to monitor all the opened sockets for all workers. If the socket is closed by JVM, this thread will kill the worker. When an task is cancelled, the socket to worker will be closed, then the worker will be killed by deamon. Author: Davies Liu <davies.liu@gmail.com> Closes #1643 from davies/kill and squashes the following commits: 8ffe9f3 [Davies Liu] kill worker by deamon, because runtime.exec() is too heavy 46ca150 [Davies Liu] address comment acd751c [Davies Liu] kill the worker when task is canceled
-
- Aug 02, 2014
-
-
Jeremy Freeman authored
These changes allow StatCounters to work properly on NumPy arrays, to fix the issue reported here (https://issues.apache.org/jira/browse/SPARK-2012). If NumPy is installed, the NumPy functions ``maximum``, ``minimum``, and ``sqrt``, which work on arrays, are used to merge statistics. If not, we fall back on scalar operators, so it will work on arrays with NumPy, but will also work without NumPy. New unit tests added, along with a check for NumPy in the tests. Author: Jeremy Freeman <the.freeman.lab@gmail.com> Closes #1725 from freeman-lab/numpy-max-statcounter and squashes the following commits: fe973b1 [Jeremy Freeman] Avoid duplicate array import in tests 7f0e397 [Jeremy Freeman] Refactored check for numpy 8e764dd [Jeremy Freeman] Explicit numpy imports 875414c [Jeremy Freeman] Fixed indents 1c8a832 [Jeremy Freeman] Unit tests for StatCounter with NumPy arrays 176a127 [Jeremy Freeman] Use numpy arrays in StatCounter
-
- Jul 30, 2014
-
-
Kan Zhang authored
JIRA issue: https://issues.apache.org/jira/browse/SPARK-2024 This PR is a followup to #455 and adds capabilities for saving PySpark RDDs using SequenceFile or any Hadoop OutputFormats. * Added RDD methods ```saveAsSequenceFile```, ```saveAsHadoopFile``` and ```saveAsHadoopDataset```, for both old and new MapReduce APIs. * Default converter for converting common data types to Writables. Users may specify custom converters to convert to desired data types. * No out-of-box support for reading/writing arrays, since ArrayWritable itself doesn't have a no-arg constructor for creating an empty instance upon reading. Users need to provide ArrayWritable subtypes. Custom converters for converting arrays to suitable ArrayWritable subtypes are also needed when writing. When reading, the default converter will convert any custom ArrayWritable subtypes to ```Object[]``` and they get pickled to Python tuples. * Added HBase and Cassandra output examples to show how custom output formats and converters can be used. cc MLnick mateiz ahirreddy pwendell Author: Kan Zhang <kzhang@apache.org> Closes #1338 from kanzhang/SPARK-2024 and squashes the following commits: c01e3ef [Kan Zhang] [SPARK-2024] code formatting 6591e37 [Kan Zhang] [SPARK-2024] renaming pickled -> pickledRDD d998ad6 [Kan Zhang] [SPARK-2024] refectoring to get method params below 10 57a7a5e [Kan Zhang] [SPARK-2024] correcting typo 75ca5bd [Kan Zhang] [SPARK-2024] Better type checking for batch serialized RDD 0bdec55 [Kan Zhang] [SPARK-2024] Refactoring newly added tests 9f39ff4 [Kan Zhang] [SPARK-2024] Adding 2 saveAsHadoopDataset tests 0c134f3 [Kan Zhang] [SPARK-2024] Test refactoring and adding couple unbatched cases 7a176df [Kan Zhang] [SPARK-2024] Add saveAsSequenceFile to PySpark
-
- Jul 29, 2014
-
-
Davies Liu authored
fix the problem with pickle operator.itemgetter with multiple index. Author: Davies Liu <davies.liu@gmail.com> Closes #1627 from davies/itemgetter and squashes the following commits: aabd7fa [Davies Liu] fix pickle itemgetter with cloudpickle
-
Davies Liu authored
During rdd.take(n), JVM will close the socket if it had got enough data, the Python worker should keep silent in this case. In the same time, the worker should not print the trackback into stderr if it send the traceback to JVM successfully. Author: Davies Liu <davies.liu@gmail.com> Closes #1625 from davies/error and squashes the following commits: 4fbcc6d [Davies Liu] disable log4j during testing when exception is expected. cc14202 [Davies Liu] keep silent in worker if JVM close the socket
-
- Jul 28, 2014
-
-
Josh Rosen authored
This addresses a PySpark issue where a failed attempt to construct SparkContext would prevent any future SparkContext creation. Author: Josh Rosen <joshrosen@apache.org> Closes #1606 from JoshRosen/SPARK-1550 and squashes the following commits: ec7fadc [Josh Rosen] [SPARK-1550] [PySpark] Allow SparkContext creation after failed attempts
-
- Jul 26, 2014
-
-
Josh Rosen authored
Similar to SPARK-1034, the problem was that Py4J didn’t cope well with the fake ClassTags used in the Java API. It doesn’t look like there’s any reason why PythonRDD needs to take a ClassTag, since it just ignores the type of the previous RDD, so I removed the type parameter and we no longer pass ClassTags from Python. Author: Josh Rosen <joshrosen@apache.org> Closes #1605 from JoshRosen/spark-2601 and squashes the following commits: b68e118 [Josh Rosen] Fix Py4J error when transforming pickleFiles [SPARK-2601]
-
- Jul 25, 2014
-
-
Davies Liu authored
During aggregation in Python worker, if the memory usage is above spark.executor.memory, it will do disk spilling aggregation. It will split the aggregation into multiple stage, in each stage, it will partition the aggregated data by hash and dump them into disks. After all the data are aggregated, it will merge all the stages together (partition by partition). Author: Davies Liu <davies.liu@gmail.com> Closes #1460 from davies/spill and squashes the following commits: cad91bf [Davies Liu] call gc.collect() after data.clear() to release memory as much as possible. 37d71f7 [Davies Liu] balance the partitions 902f036 [Davies Liu] add shuffle.py into run-tests dcf03a9 [Davies Liu] fix memory_info() of psutil 67e6eba [Davies Liu] comment for MAX_TOTAL_PARTITIONS f6bd5d6 [Davies Liu] rollback next_limit() again, the performance difference is huge: e74b785 [Davies Liu] fix code style and change next_limit to memory_limit 400be01 [Davies Liu] address all the comments 6178844 [Davies Liu] refactor and improve docs fdd0a49 [Davies Liu] add long doc string for ExternalMerger 1a97ce4 [Davies Liu] limit used memory and size of objects in partitionBy() e6cc7f9 [Davies Liu] Merge branch 'master' into spill 3652583 [Davies Liu] address comments e78a0a0 [Davies Liu] fix style 24cec6a [Davies Liu] get local directory by SPARK_LOCAL_DIR 57ee7ef [Davies Liu] update docs 286aaff [Davies Liu] let spilled aggregation in Python configurable e9a40f6 [Davies Liu] recursive merger 6edbd1f [Davies Liu] Hash based disk spilling aggregation
-
- Jul 22, 2014
-
-
Nicholas Chammas authored
This pull request aims to resolve all outstanding PEP8 violations in PySpark. Author: Nicholas Chammas <nicholas.chammas@gmail.com> Author: nchammas <nicholas.chammas@gmail.com> Closes #1505 from nchammas/master and squashes the following commits: 98171af [Nicholas Chammas] [SPARK-2470] revert PEP 8 fixes to cloudpickle cba7768 [Nicholas Chammas] [SPARK-2470] wrap expression list in parentheses e178dbe [Nicholas Chammas] [SPARK-2470] style - change position of line break 9127d2b [Nicholas Chammas] [SPARK-2470] wrap expression lists in parentheses 22132a4 [Nicholas Chammas] [SPARK-2470] wrap conditionals in parentheses 24639bc [Nicholas Chammas] [SPARK-2470] fix whitespace for doctest 7d557b7 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to tests.py 8f8e4c0 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to storagelevel.py b3b96cf [Nicholas Chammas] [SPARK-2470] PEP8 fixes to statcounter.py d644477 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to worker.py aa3a7b6 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to sql.py 1916859 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to shell.py 95d1d95 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to serializers.py a0fec2e [Nicholas Chammas] [SPARK-2470] PEP8 fixes to mllib c85e1e5 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to join.py d14f2f1 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to __init__.py 81fcb20 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to resultiterable.py 1bde265 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to java_gateway.py 7fc849c [Nicholas Chammas] [SPARK-2470] PEP8 fixes to daemon.py ca2d28b [Nicholas Chammas] [SPARK-2470] PEP8 fixes to context.py f4e0039 [Nicholas Chammas] [SPARK-2470] PEP8 fixes to conf.py a6d5e4b [Nicholas Chammas] [SPARK-2470] PEP8 fixes to cloudpickle.py f0a7ebf [Nicholas Chammas] [SPARK-2470] PEP8 fixes to rddsampler.py 4dd148f [nchammas] Merge pull request #5 from apache/master f7e4581 [Nicholas Chammas] unrelated pep8 fix a36eed0 [Nicholas Chammas] name ec2 instances and security groups consistently de7292a [nchammas] Merge pull request #4 from apache/master 2e4fe00 [nchammas] Merge pull request #3 from apache/master 89fde08 [nchammas] Merge pull request #2 from apache/master 69f6e22 [Nicholas Chammas] PEP8 fixes 2627247 [Nicholas Chammas] broke up lines before they hit 100 chars 6544b7e [Nicholas Chammas] [SPARK-2065] give launched instances names 69da6cf [nchammas] Merge pull request #1 from apache/master
-
- Jun 12, 2014
-
-
Sandy Ryza authored
Author: Sandy Ryza <sandy@cloudera.com> Closes #705 from sryza/sandy-spark-554 and squashes the following commits: 2302b8f [Sandy Ryza] Add MIMA exclude f52e0ad [Sandy Ryza] Fix Python tests for real 2f3afa3 [Sandy Ryza] Fix Python test 0b735e9 [Sandy Ryza] Fix line lengths ae56746 [Sandy Ryza] Fix doc (replace T with V) c2be415 [Sandy Ryza] Java and Python aggregateByKey 23bf400 [Sandy Ryza] SPARK-554. Add aggregateByKey.
-
- Jun 10, 2014
-
-
Nick Pentreath authored
So I finally resurrected this PR. It seems the old one against the incubator mirror is no longer available, so I cannot reference it. This adds initial support for reading Hadoop ```SequenceFile```s, as well as arbitrary Hadoop ```InputFormat```s, in PySpark. # Overview The basics are as follows: 1. ```PythonRDD``` object contains the relevant methods, that are in turn invoked by ```SparkContext``` in PySpark 2. The SequenceFile or InputFormat is read on the Scala side and converted from ```Writable``` instances to the relevant Scala classes (in the case of primitives) 3. Pyrolite is used to serialize Java objects. If this fails, the fallback is ```toString``` 4. ```PickleSerializer``` on the Python side deserializes. This works "out the box" for simple ```Writable```s: * ```Text``` * ```IntWritable```, ```DoubleWritable```, ```FloatWritable``` * ```NullWritable``` * ```BooleanWritable``` * ```BytesWritable``` * ```MapWritable``` It also works for simple, "struct-like" classes. Due to the way Pyrolite works, this requires that the classes satisfy the JavaBeans convenstions (i.e. with fields and a no-arg constructor and getters/setters). (Perhaps in future some sugar for case classes and reflection could be added). I've tested it out with ```ESInputFormat``` as an example and it works very nicely: ```python conf = {"es.resource" : "index/type" } rdd = sc.newAPIHadoopRDD("org.elasticsearch.hadoop.mr.EsInputFormat", "org.apache.hadoop.io.NullWritable", "org.elasticsearch.hadoop.mr.LinkedMapWritable", conf=conf) rdd.first() ``` I suspect for things like HBase/Cassandra it will be a bit trickier to get it to work out the box. # Some things still outstanding: 1. ~~Requires ```msgpack-python``` and will fail without it. As originally discussed with Josh, add a ```as_strings``` argument that defaults to ```False```, that can be used if ```msgpack-python``` is not available~~ 2. ~~I see from https://github.com/apache/spark/pull/363 that Pyrolite is being used there for SerDe between Scala and Python. @ahirreddy @mateiz what is the plan behind this - is Pyrolite preferred? It seems from a cursory glance that adapting the ```msgpack```-based SerDe here to use Pyrolite wouldn't be too hard~~ 3. ~~Support the key and value "wrapper" that would allow a Scala/Java function to be plugged in that would transform whatever the key/value Writable class is into something that can be serialized (e.g. convert some custom Writable to a JavaBean or ```java.util.Map``` that can be easily serialized)~~ 4. Support ```saveAsSequenceFile``` and ```saveAsHadoopFile``` etc. This would require SerDe in the reverse direction, that can be handled by Pyrolite. Will work on this as a separate PR Author: Nick Pentreath <nick.pentreath@gmail.com> Closes #455 from MLnick/pyspark-inputformats and squashes the following commits: 268df7e [Nick Pentreath] Documentation changes mer @pwendell comments 761269b [Nick Pentreath] Address @pwendell comments, simplify default writable conversions and remove registry. 4c972d8 [Nick Pentreath] Add license headers d150431 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats cde6af9 [Nick Pentreath] Parameterize converter trait 5ebacfa [Nick Pentreath] Update docs for PySpark input formats a985492 [Nick Pentreath] Move Converter examples to own package 365d0be [Nick Pentreath] Make classes private[python]. Add docs and @Experimental annotation to Converter interface. eeb8205 [Nick Pentreath] Fix path relative to SPARK_HOME in tests 1eaa08b [Nick Pentreath] HBase -> Cassandra app name oversight 3f90c3e [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 2c18513 [Nick Pentreath] Add examples for reading HBase and Cassandra InputFormats from Python b65606f [Nick Pentreath] Add converter interface 5757f6e [Nick Pentreath] Default key/value classes for sequenceFile asre None 085b55f [Nick Pentreath] Move input format tests to tests.py and clean up docs 43eb728 [Nick Pentreath] PySpark InputFormats docs into programming guide 94beedc [Nick Pentreath] Clean up args in PythonRDD. Set key/value converter defaults to None for PySpark context.py methods 1a4a1d6 [Nick Pentreath] Address @mateiz style comments 01e0813 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 15a7d07 [Nick Pentreath] Remove default args for key/value classes. Arg names to camelCase 9fe6bd5 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 84fe8e3 [Nick Pentreath] Python programming guide space formatting d0f52b6 [Nick Pentreath] Python programming guide 7caa73a [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 93ef995 [Nick Pentreath] Add back context.py changes 9ef1896 [Nick Pentreath] Recover earlier changes lost in previous merge for serializers.py 077ecb2 [Nick Pentreath] Recover earlier changes lost in previous merge for context.py 5af4770 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 35b8e3a [Nick Pentreath] Another fix for test ordering bef3afb [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats e001b94 [Nick Pentreath] Fix test failures due to ordering 78978d9 [Nick Pentreath] Add doc for SequenceFile and InputFormat support to Python programming guide 64eb051 [Nick Pentreath] Scalastyle fix e7552fa [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 44f2857 [Nick Pentreath] Remove msgpack dependency and switch serialization to Pyrolite, plus some clean up and refactoring c0ebfb6 [Nick Pentreath] Change sequencefile test data generator to easily be called from PySpark tests 1d7c17c [Nick Pentreath] Amend tests to auto-generate sequencefile data in temp dir 17a656b [Nick Pentreath] remove binary sequencefile for tests f60959e [Nick Pentreath] Remove msgpack dependency and serializer from PySpark 450e0a2 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 31a2fff [Nick Pentreath] Scalastyle fixes fc5099e [Nick Pentreath] Add Apache license headers 4e08983 [Nick Pentreath] Clean up docs for PySpark context methods b20ec7e [Nick Pentreath] Clean up merge duplicate dependencies 951c117 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats f6aac55 [Nick Pentreath] Bring back msgpack 9d2256e [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 1bbbfb0 [Nick Pentreath] Clean up SparkBuild from merge a67dfad [Nick Pentreath] Clean up Msgpack serialization and registering 7237263 [Nick Pentreath] Add back msgpack serializer and hadoop file code lost during merging 25da1ca [Nick Pentreath] Add generator for nulls, bools, bytes and maps 65360d5 [Nick Pentreath] Adding test SequenceFiles 0c612e5 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats d72bf18 [Nick Pentreath] msgpack dd57922 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats e67212a [Nick Pentreath] Add back msgpack dependency f2d76a0 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 41856a5 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 97ef708 [Nick Pentreath] Remove old writeToStream 2beeedb [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 795a763 [Nick Pentreath] Change name to WriteInputFormatTestDataGenerator. Cleanup some var names. Use SPARK_HOME in path for writing test sequencefile data. 174f520 [Nick Pentreath] Add back graphx settings 703ee65 [Nick Pentreath] Add back msgpack 619c0fa [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 1c8efbc [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats eb40036 [Nick Pentreath] Remove unused comment lines 4d7ef2e [Nick Pentreath] Fix indentation f1d73e3 [Nick Pentreath] mergeConfs returns a copy rather than mutating one of the input arguments 0f5cd84 [Nick Pentreath] Remove unused pair UTF8 class. Add comments to msgpack deserializer 4294cbb [Nick Pentreath] Add old Hadoop api methods. Clean up and expand comments. Clean up argument names 818a1e6 [Nick Pentreath] Add seqencefile and Hadoop InputFormat support to PythonRDD 4e7c9e3 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats c304cc8 [Nick Pentreath] Adding supporting sequncefiles for tests. Cleaning up 4b0a43f [Nick Pentreath] Refactoring utils into own objects. Cleaning up old commented-out code d86325f [Nick Pentreath] Initial WIP of PySpark support for SequenceFile and arbitrary Hadoop InputFormat
-
- Jun 03, 2014
-
-
Syed Hashmi authored
stop resetting spark.driver.port in unit tests (scala, java and python). Author: Syed Hashmi <shashmi@cloudera.com> Author: CodingCat <zhunansjtu@gmail.com> Closes #943 from syedhashmi/master and squashes the following commits: 885f210 [Syed Hashmi] Removing unnecessary file (created by mergetool) b8bd4b5 [Syed Hashmi] Merge remote-tracking branch 'upstream/master' b895e59 [Syed Hashmi] Revert "[SPARK-1784] Add a new partitioner" 57b6587 [Syed Hashmi] Revert "[SPARK-1784] Add a balanced partitioner" 1574769 [Syed Hashmi] [SPARK-1942] Stop clearing spark.driver.port in unit tests 4354836 [Syed Hashmi] Revert "SPARK-1686: keep schedule() calling in the main thread" fd36542 [Syed Hashmi] [SPARK-1784] Add a balanced partitioner 6668015 [CodingCat] SPARK-1686: keep schedule() calling in the main thread 4ca94cc [Syed Hashmi] [SPARK-1784] Add a new partitioner
-
- May 31, 2014
-
-
Uri Laserson authored
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
-
- May 06, 2014
-
-
Matei Zaharia authored
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
-
- Apr 30, 2014
-
-
Sandy Ryza authored
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
-
- Jan 23, 2014
-
-
Josh Rosen authored
-
Josh Rosen authored
-
Josh Rosen authored
-
- Dec 24, 2013
-
-
Tathagata Das authored
-
- Nov 29, 2013
-
-
Josh Rosen authored
Fixes SPARK-970.
-
- Nov 10, 2013
-
-
Josh Rosen authored
For now, this only adds MarshalSerializer, but it lays the groundwork for other supporting custom serializers. Many of these mechanisms can also be used to support deserialization of different data formats sent by Java, such as data encoded by MsgPack. This also fixes a bug in SparkContext.union().
-
- Aug 16, 2013
-
-
Andre Schumacher authored
Implementing SPARK-878 for PySpark: adding zip and egg files to context and passing it down to workers which add these to their sys.path
-
- Aug 14, 2013
-
-
Josh Rosen authored
-
- Jul 16, 2013
-
-
Matei Zaharia authored
-
- Jun 21, 2013
-
-
Jey Kottalam authored
-
- Feb 01, 2013
-
-
Josh Rosen authored
The problem was that the gateway was being initialized whenever the pyspark.context module was loaded. The fix uses lazy initialization that occurs only when SparkContext instances are actually constructed. I also made the gateway and jvm variables private. This change results in ~3-4x performance improvement when running the PySpark unit tests.
-
Josh Rosen authored
-
- Jan 25, 2013
-
-
Stephen Haberman authored
-
- Jan 23, 2013
-
-
Josh Rosen authored
Fix minor documentation formatting issues.
-
- Jan 22, 2013
-
-
Josh Rosen authored
-
- Jan 20, 2013
-
-
Josh Rosen authored
-
Josh Rosen authored
-
Josh Rosen authored
-