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* [SPARK-10710] Remove ability to disable spilling in core and SQLJosh Rosen2015-09-191-30/+0
| | | | | | | | | | It does not make much sense to set `spark.shuffle.spill` or `spark.sql.planner.externalSort` to false: I believe that these configurations were initially added as "escape hatches" to guard against bugs in the external operators, but these operators are now mature and well-tested. In addition, these configurations are not handled in a consistent way anymore: SQL's Tungsten codepath ignores these configurations and will continue to use spilling operators. Similarly, Spark Core's `tungsten-sort` shuffle manager does not respect `spark.shuffle.spill=false`. This pull request removes these configurations, adds warnings at the appropriate places, and deletes a large amount of code which was only used in code paths that did not support spilling. Author: Josh Rosen <joshrosen@databricks.com> Closes #8831 from JoshRosen/remove-ability-to-disable-spilling.
* [SPARK-9116] [SQL] [PYSPARK] support Python only UDT in __main__Davies Liu2015-07-291-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | Also we could create a Python UDT without having a Scala one, it's important for Python users. cc mengxr JoshRosen Author: Davies Liu <davies@databricks.com> Closes #7453 from davies/class_in_main and squashes the following commits: 4dfd5e1 [Davies Liu] add tests for Python and Scala UDT 793d9b2 [Davies Liu] Merge branch 'master' of github.com:apache/spark into class_in_main dc65f19 [Davies Liu] address comment a9a3c40 [Davies Liu] Merge branch 'master' of github.com:apache/spark into class_in_main a86e1fc [Davies Liu] fix serialization ad528ba [Davies Liu] Merge branch 'master' of github.com:apache/spark into class_in_main 63f52ef [Davies Liu] fix pylint check 655b8a9 [Davies Liu] Merge branch 'master' of github.com:apache/spark into class_in_main 316a394 [Davies Liu] support Python UDT with UTF 0bcb3ef [Davies Liu] fix bug in mllib de986d6 [Davies Liu] fix test 83d65ac [Davies Liu] fix bug in StructType 55bb86e [Davies Liu] support Python UDT in __main__ (without Scala one)
* [SPARK-8652] [PYSPARK] Check return value for all uses of doctest.testmod()Josh Rosen2015-06-261-1/+3
| | | | | | | | | | | | | | | | This patch addresses a critical issue in the PySpark tests: Several of our Python modules' `__main__` methods call `doctest.testmod()` in order to run doctests but forget to check and handle its return value. As a result, some PySpark test failures can go unnoticed because they will not fail the build. Fortunately, there was only one test failure which was masked by this bug: a `pyspark.profiler` doctest was failing due to changes in RDD pipelining. Author: Josh Rosen <joshrosen@databricks.com> Closes #7032 from JoshRosen/testmod-fix and squashes the following commits: 60dbdc0 [Josh Rosen] Account for int vs. long formatting change in Python 3 8b8d80a [Josh Rosen] Fix failing test. e6423f9 [Josh Rosen] Check return code for all uses of doctest.testmod().
* [SPARK-8202] [PYSPARK] fix infinite loop during external sort in PySparkDavies Liu2015-06-181-4/+1
| | | | | | | | | | | | | | | | | The batch size during external sort will grow up to max 10000, then shrink down to zero, causing infinite loop. Given the assumption that the items usually have similar size, so we don't need to adjust the batch size after first spill. cc JoshRosen rxin angelini Author: Davies Liu <davies@databricks.com> Closes #6714 from davies/batch_size and squashes the following commits: b170dfb [Davies Liu] update test b9be832 [Davies Liu] Merge branch 'batch_size' of github.com:davies/spark into batch_size 6ade745 [Davies Liu] update test 5c21777 [Davies Liu] Update shuffle.py e746aec [Davies Liu] fix batch size during sort
* [SPARK-7339] [PYSPARK] PySpark shuffle spill memory sometimes are not correctlinweizhong2015-05-261-4/+4
| | | | | | | | | | | | | | | | | | | | | | In PySpark we get memory used before and after spill, then use the difference of these two value as memorySpilled, but if the before value is small than after value, then we will get a negative value, but this scenario 0 value may be more reasonable. Below is the result in HistoryServer we have tested: Index ID Attempt Status Locality Level Executor ID / Host Launch Time Duration GC Time Input Size / Records Write Time Shuffle Write Size / Records Shuffle Spill (Memory) Shuffle Spill (Disk) Errors 0 0 0 SUCCESS NODE_LOCAL 3 / vm119 2015/05/04 17:31:06 21 s 0.1 s 128.1 MB (hadoop) / 3237 70 ms 10.1 MB / 2529 0.0 B 5.7 MB 2 2 0 SUCCESS NODE_LOCAL 1 / vm118 2015/05/04 17:31:06 22 s 89 ms 128.1 MB (hadoop) / 3205 0.1 s 10.1 MB / 2529 -1048576.0 B 5.9 MB 1 1 0 SUCCESS NODE_LOCAL 2 / vm117 2015/05/04 17:31:06 22 s 0.1 s 128.1 MB (hadoop) / 3271 68 ms 10.1 MB / 2529 -1048576.0 B 5.6 MB 4 4 0 SUCCESS NODE_LOCAL 2 / vm117 2015/05/04 17:31:06 22 s 0.1 s 128.1 MB (hadoop) / 3192 51 ms 10.1 MB / 2529 -1048576.0 B 5.9 MB 3 3 0 SUCCESS NODE_LOCAL 3 / vm119 2015/05/04 17:31:06 22 s 0.1 s 128.1 MB (hadoop) / 3262 51 ms 10.1 MB / 2529 1024.0 KB 5.8 MB 5 5 0 SUCCESS NODE_LOCAL 1 / vm118 2015/05/04 17:31:06 22 s 89 ms 128.1 MB (hadoop) / 3256 93 ms 10.1 MB / 2529 -1048576.0 B 5.7 MB /cc davies Author: linweizhong <linweizhong@huawei.com> Closes #5887 from Sephiroth-Lin/spark-7339 and squashes the following commits: 9186c81 [linweizhong] Use max function to get a nonnegative value d41672b [linweizhong] Update MemoryBytesSpilled when memorySpilled > 0
* [SPARK-6953] [PySpark] speed up python testsReynold Xin2015-04-211-3/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR try to speed up some python tests: ``` tests.py 144s -> 103s -41s mllib/classification.py 24s -> 17s -7s mllib/regression.py 27s -> 15s -12s mllib/tree.py 27s -> 13s -14s mllib/tests.py 64s -> 31s -33s streaming/tests.py 185s -> 84s -101s ``` Considering python3, the total saving will be 558s (almost 10 minutes) (core, and streaming run three times, mllib runs twice). During testing, it will show used time for each test file: ``` Run core tests ... Running test: pyspark/rdd.py ... ok (22s) Running test: pyspark/context.py ... ok (16s) Running test: pyspark/conf.py ... ok (4s) Running test: pyspark/broadcast.py ... ok (4s) Running test: pyspark/accumulators.py ... ok (4s) Running test: pyspark/serializers.py ... ok (6s) Running test: pyspark/profiler.py ... ok (5s) Running test: pyspark/shuffle.py ... ok (1s) Running test: pyspark/tests.py ... ok (103s) 144s ``` Author: Reynold Xin <rxin@databricks.com> Author: Xiangrui Meng <meng@databricks.com> Closes #5605 from rxin/python-tests-speed and squashes the following commits: d08542d [Reynold Xin] Merge pull request #14 from mengxr/SPARK-6953 89321ee [Xiangrui Meng] fix seed in tests 3ad2387 [Reynold Xin] Merge pull request #5427 from davies/python_tests
* [SPARK-4897] [PySpark] Python 3 supportDavies Liu2015-04-161-57/+69
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR update PySpark to support Python 3 (tested with 3.4). Known issue: unpickle array from Pyrolite is broken in Python 3, those tests are skipped. TODO: ec2/spark-ec2.py is not fully tested with python3. Author: Davies Liu <davies@databricks.com> Author: twneale <twneale@gmail.com> Author: Josh Rosen <joshrosen@databricks.com> Closes #5173 from davies/python3 and squashes the following commits: d7d6323 [Davies Liu] fix tests 6c52a98 [Davies Liu] fix mllib test 99e334f [Davies Liu] update timeout b716610 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 cafd5ec [Davies Liu] adddress comments from @mengxr bf225d7 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 179fc8d [Davies Liu] tuning flaky tests 8c8b957 [Davies Liu] fix ResourceWarning in Python 3 5c57c95 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 4006829 [Davies Liu] fix test 2fc0066 [Davies Liu] add python3 path 71535e9 [Davies Liu] fix xrange and divide 5a55ab4 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 125f12c [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ed498c8 [Davies Liu] fix compatibility with python 3 820e649 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 e8ce8c9 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ad7c374 [Davies Liu] fix mllib test and warning ef1fc2f [Davies Liu] fix tests 4eee14a [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 20112ff [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 59bb492 [Davies Liu] fix tests 1da268c [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ca0fdd3 [Davies Liu] fix code style 9563a15 [Davies Liu] add imap back for python 2 0b1ec04 [Davies Liu] make python examples work with Python 3 d2fd566 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 a716d34 [Davies Liu] test with python 3.4 f1700e8 [Davies Liu] fix test in python3 671b1db [Davies Liu] fix test in python3 692ff47 [Davies Liu] fix flaky test 7b9699f [Davies Liu] invalidate import cache for Python 3.3+ 9c58497 [Davies Liu] fix kill worker 309bfbf [Davies Liu] keep compatibility 5707476 [Davies Liu] cleanup, fix hash of string in 3.3+ 8662d5b [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 f53e1f0 [Davies Liu] fix tests 70b6b73 [Davies Liu] compile ec2/spark_ec2.py in python 3 a39167e [Davies Liu] support customize class in __main__ 814c77b [Davies Liu] run unittests with python 3 7f4476e [Davies Liu] mllib tests passed d737924 [Davies Liu] pass ml tests 375ea17 [Davies Liu] SQL tests pass 6cc42a9 [Davies Liu] rename 431a8de [Davies Liu] streaming tests pass 78901a7 [Davies Liu] fix hash of serializer in Python 3 24b2f2e [Davies Liu] pass all RDD tests 35f48fe [Davies Liu] run future again 1eebac2 [Davies Liu] fix conflict in ec2/spark_ec2.py 6e3c21d [Davies Liu] make cloudpickle work with Python3 2fb2db3 [Josh Rosen] Guard more changes behind sys.version; still doesn't run 1aa5e8f [twneale] Turned out `pickle.DictionaryType is dict` == True, so swapped it out 7354371 [twneale] buffer --> memoryview I'm not super sure if this a valid change, but the 2.7 docs recommend using memoryview over buffer where possible, so hoping it'll work. b69ccdf [twneale] Uses the pure python pickle._Pickler instead of c-extension _pickle.Pickler. It appears pyspark 2.7 uses the pure python pickler as well, so this shouldn't degrade pickling performance (?). f40d925 [twneale] xrange --> range e104215 [twneale] Replaces 2.7 types.InstsanceType with 3.4 `object`....could be horribly wrong depending on how types.InstanceType is used elsewhere in the package--see http://bugs.python.org/issue8206 79de9d0 [twneale] Replaces python2.7 `file` with 3.4 _io.TextIOWrapper 2adb42d [Josh Rosen] Fix up some import differences between Python 2 and 3 854be27 [Josh Rosen] Run `futurize` on Python code: 7c5b4ce [Josh Rosen] Remove Python 3 check in shell.py.
* [SPARK-3074] [PySpark] support groupByKey() with single huge keyDavies Liu2015-04-091-117/+414
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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()
* [SPARK-4384] [PySpark] improve sort spillingDavies Liu2014-11-191-1/+10
| | | | | | | | | | | | If there some big broadcasts (or other object) in Python worker, the free memory could be used for sorting will be too small, then it will keep spilling small files into disks, finally failed with too many open files. This PR try to delay the spilling until the used memory goes over limit and start to increase since last spilling, it will increase the size of spilling files, improve the stability and performance in this cases. (We also do this in ExternalAggregator). Author: Davies Liu <davies@databricks.com> Closes #3252 from davies/sort and squashes the following commits: 711fb6c [Davies Liu] improve sort spilling
* [SPARK-3886] [PySpark] simplify serializer, use AutoBatchedSerializer by ↵Davies Liu2014-11-031-4/+3
| | | | | | | | | | | | | | | | | | | | | | | | | | | default. This PR simplify serializer, always use batched serializer (AutoBatchedSerializer as default), even batch size is 1. Author: Davies Liu <davies@databricks.com> This patch had conflicts when merged, resolved by Committer: Josh Rosen <joshrosen@databricks.com> Closes #2920 from davies/fix_autobatch and squashes the following commits: e544ef9 [Davies Liu] revert unrelated change 6880b14 [Davies Liu] Merge branch 'master' of github.com:apache/spark into fix_autobatch 1d557fc [Davies Liu] fix tests 8180907 [Davies Liu] Merge branch 'master' of github.com:apache/spark into fix_autobatch 76abdce [Davies Liu] clean up 53fa60b [Davies Liu] Merge branch 'master' of github.com:apache/spark into fix_autobatch d7ac751 [Davies Liu] Merge branch 'master' of github.com:apache/spark into fix_autobatch 2cc2497 [Davies Liu] Merge branch 'master' of github.com:apache/spark into fix_autobatch b4292ce [Davies Liu] fix bug in master d79744c [Davies Liu] recover hive tests be37ece [Davies Liu] refactor eb3938d [Davies Liu] refactor serializer in scala 8d77ef2 [Davies Liu] simplify serializer, use AutoBatchedSerializer by default.
* [SPARK-3786] [PySpark] speedup testsDavies Liu2014-10-061-3/+2
| | | | | | | | | | | | | | | | | | | | | | | | | This patch try to speed up tests of PySpark, re-use the SparkContext in tests.py and mllib/tests.py to reduce the overhead of create SparkContext, remove some test cases, which did not make sense. It also improve the performance of some cases, such as MergerTests and SortTests. before this patch: real 21m27.320s user 4m42.967s sys 0m17.343s after this patch: real 9m47.541s user 2m12.947s sys 0m14.543s It almost cut the time by half. Author: Davies Liu <davies.liu@gmail.com> Closes #2646 from davies/tests and squashes the following commits: c54de60 [Davies Liu] revert change about memory limit 6a2a4b0 [Davies Liu] refactor of tests, speedup 100%
* [SPARK-3463] [PySpark] aggregate and show spilled bytes in PythonDavies Liu2014-09-131-3/+16
| | | | | | | | | | | | | | | | | | Aggregate the number of bytes spilled into disks during aggregation or sorting, show them in Web UI. ![spilled](https://cloud.githubusercontent.com/assets/40902/4209758/4b995562-386d-11e4-97c1-8e838ee1d4e3.png) This patch is blocked by SPARK-3465. (It includes a fix for that). Author: Davies Liu <davies.liu@gmail.com> Closes #2336 from davies/metrics and squashes the following commits: e37df38 [Davies Liu] remove outdated comments 1245eb7 [Davies Liu] remove the temporary fix ebd2f43 [Davies Liu] Merge branch 'master' into metrics 7e4ad04 [Davies Liu] Merge branch 'master' into metrics fbe9029 [Davies Liu] show spilled bytes in Python in web ui
* [SPARK-3073] [PySpark] use external sort in sortBy() and sortByKey()Davies Liu2014-08-261-8/+83
| | | | | | | | | | | | | | | | | Using external sort to support sort large datasets in reduce stage. Author: Davies Liu <davies.liu@gmail.com> Closes #1978 from davies/sort and squashes the following commits: bbcd9ba [Davies Liu] check spilled bytes in tests b125d2f [Davies Liu] add test for external sort in rdd eae0176 [Davies Liu] choose different disks from different processes and instances 1f075ed [Davies Liu] Merge branch 'master' into sort eb53ca6 [Davies Liu] Merge branch 'master' into sort 644abaf [Davies Liu] add license in LICENSE 19f7873 [Davies Liu] improve tests 55602ee [Davies Liu] use external sort in sortBy() and sortByKey()
* [SPARK-2974] [SPARK-2975] Fix two bugs related to spark.local.dirsJosh Rosen2014-08-191-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | This PR fixes two bugs related to `spark.local.dirs` and `SPARK_LOCAL_DIRS`, one where `Utils.getLocalDir()` might return an invalid directory (SPARK-2974) and another where the `SPARK_LOCAL_DIRS` override didn't affect the driver, which could cause problems when running tasks in local mode (SPARK-2975). This patch fixes both issues: the new `Utils.getOrCreateLocalRootDirs(conf: SparkConf)` utility method manages the creation of local directories and handles the precedence among the different configuration options, so we should see the same behavior whether we're running in local mode or on a worker. It's kind of a pain to mock out environment variables in tests (no easy way to mock System.getenv), so I added a `private[spark]` method to SparkConf for accessing environment variables (by default, it just delegates to System.getenv). By subclassing SparkConf and overriding this method, we can mock out SPARK_LOCAL_DIRS in tests. I also fixed a typo in PySpark where we used `SPARK_LOCAL_DIR` instead of `SPARK_LOCAL_DIRS` (I think this was technically innocuous, but it seemed worth fixing). Author: Josh Rosen <joshrosen@apache.org> Closes #2002 from JoshRosen/local-dirs and squashes the following commits: efad8c6 [Josh Rosen] Address review comments: 1dec709 [Josh Rosen] Minor updates to Javadocs. 7f36999 [Josh Rosen] Use env vars to detect if running in YARN container. 399ac25 [Josh Rosen] Update getLocalDir() documentation. bb3ad89 [Josh Rosen] Remove duplicated YARN getLocalDirs() code. 3e92d44 [Josh Rosen] Move local dirs override logic into Utils; fix bugs: b2c4736 [Josh Rosen] Add failing tests for SPARK-2974 and SPARK-2975. 007298b [Josh Rosen] Allow environment variables to be mocked in tests. 6d9259b [Josh Rosen] Fix typo in PySpark: SPARK_LOCAL_DIR should be SPARK_LOCAL_DIRS
* [SPARK-2627] [PySpark] have the build enforce PEP 8 automaticallyNicholas Chammas2014-08-061-10/+10
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | As described in [SPARK-2627](https://issues.apache.org/jira/browse/SPARK-2627), we'd like Python code to automatically be checked for PEP 8 compliance by Jenkins. This pull request aims to do that. Notes: * We may need to install [`pep8`](https://pypi.python.org/pypi/pep8) on the build server. * I'm expecting tests to fail now that PEP 8 compliance is being checked as part of the build. I'm fine with cleaning up any remaining PEP 8 violations as part of this pull request. * I did not understand why the RAT and scalastyle reports are saved to text files. I did the same for the PEP 8 check, but only so that the console output style can match those for the RAT and scalastyle checks. The PEP 8 report is removed right after the check is complete. * Updates to the ["Contributing to Spark"](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark) guide will be submitted elsewhere, as I don't believe that text is part of the Spark repo. Author: Nicholas Chammas <nicholas.chammas@gmail.com> Author: nchammas <nicholas.chammas@gmail.com> Closes #1744 from nchammas/master and squashes the following commits: 274b238 [Nicholas Chammas] [SPARK-2627] [PySpark] minor indentation changes 983d963 [nchammas] Merge pull request #5 from apache/master 1db5314 [nchammas] Merge pull request #4 from apache/master 0e0245f [Nicholas Chammas] [SPARK-2627] undo erroneous whitespace fixes bf30942 [Nicholas Chammas] [SPARK-2627] PEP8: comment spacing 6db9a44 [nchammas] Merge pull request #3 from apache/master 7b4750e [Nicholas Chammas] merge upstream changes 91b7584 [Nicholas Chammas] [SPARK-2627] undo unnecessary line breaks 44e3e56 [Nicholas Chammas] [SPARK-2627] use tox.ini to exclude files b09fae2 [Nicholas Chammas] don't wrap comments unnecessarily bfb9f9f [Nicholas Chammas] [SPARK-2627] keep up with the PEP 8 fixes 9da347f [nchammas] Merge pull request #2 from apache/master aa5b4b5 [Nicholas Chammas] [SPARK-2627] follow Spark bash style for if blocks d0a83b9 [Nicholas Chammas] [SPARK-2627] check that pep8 downloaded fine dffb5dd [Nicholas Chammas] [SPARK-2627] download pep8 at runtime a1ce7ae [Nicholas Chammas] [SPARK-2627] space out test report sections 21da538 [Nicholas Chammas] [SPARK-2627] it's PEP 8, not PEP8 6f4900b [Nicholas Chammas] [SPARK-2627] more misc PEP 8 fixes fe57ed0 [Nicholas Chammas] removing merge conflict backups 9c01d4c [nchammas] Merge pull request #1 from apache/master 9a66cb0 [Nicholas Chammas] resolving merge conflicts a31ccc4 [Nicholas Chammas] [SPARK-2627] miscellaneous PEP 8 fixes beaa9ac [Nicholas Chammas] [SPARK-2627] fail check on non-zero status 723ed39 [Nicholas Chammas] always delete the report file 0541ebb [Nicholas Chammas] [SPARK-2627] call Python linter from run-tests 12440fa [Nicholas Chammas] [SPARK-2627] add Scala linter 61c07b9 [Nicholas Chammas] [SPARK-2627] add Python linter 75ad552 [Nicholas Chammas] make check output style consistent
* [SPARK-2538] [PySpark] Hash based disk spilling aggregationDavies Liu2014-07-241-0/+439
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
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