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[SPARK-19019][PYTHON][BRANCH-2.0] Fix hijacked collections.namedtuple and port cloudpickle changes for PySpark to work with Python 3.6.0 - #17374

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[SPARK-19019][PYTHON][BRANCH-2.0] Fix hijacked collections.namedtuple and port cloudpickle changes for PySpark to work with Python 3.6.0#17374
HyukjinKwon wants to merge 1 commit into
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HyukjinKwon:SPARK-19019-backport

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@HyukjinKwon

@HyukjinKwonHyukjinKwon commented Mar 21, 2017

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What changes were proposed in this pull request?

This PR proposes to backports #16429 to branch-2.0 so that Python 3.6.0 works with Spark 2.0.x.

How was this patch tested?

Manually, via

./run-tests --python-executables=python3.6
Finished test(python3.6): pyspark.tests (124s)
Finished test(python3.6): pyspark.accumulators (4s)
Finished test(python3.6): pyspark.broadcast (4s)
Finished test(python3.6): pyspark.conf (3s)
Finished test(python3.6): pyspark.context (15s)
Finished test(python3.6): pyspark.ml.classification (24s)
Finished test(python3.6): pyspark.sql.tests (190s)
Finished test(python3.6): pyspark.mllib.tests (190s)
Finished test(python3.6): pyspark.ml.clustering (14s)
Finished test(python3.6): pyspark.ml.linalg.__init__ (0s)
Finished test(python3.6): pyspark.ml.recommendation (18s)
Finished test(python3.6): pyspark.ml.feature (28s)
Finished test(python3.6): pyspark.ml.evaluation (28s)
Finished test(python3.6): pyspark.ml.regression (21s)
Finished test(python3.6): pyspark.ml.tuning (17s)
Finished test(python3.6): pyspark.streaming.tests (239s)
Finished test(python3.6): pyspark.mllib.evaluation (15s)
Finished test(python3.6): pyspark.mllib.classification (24s)
Finished test(python3.6): pyspark.mllib.clustering (37s)
Finished test(python3.6): pyspark.mllib.linalg.__init__ (0s)
Finished test(python3.6): pyspark.mllib.fpm (19s)
Finished test(python3.6): pyspark.mllib.feature (19s)
Finished test(python3.6): pyspark.mllib.random (8s)
Finished test(python3.6): pyspark.ml.tests (76s)
Finished test(python3.6): pyspark.mllib.stat.KernelDensity (0s)
Finished test(python3.6): pyspark.mllib.recommendation (21s)
Finished test(python3.6): pyspark.mllib.linalg.distributed (27s)
Finished test(python3.6): pyspark.mllib.regression (22s)
Finished test(python3.6): pyspark.mllib.stat._statistics (11s)
Finished test(python3.6): pyspark.mllib.tree (16s)
Finished test(python3.6): pyspark.profiler (8s)
Finished test(python3.6): pyspark.shuffle (1s)
Finished test(python3.6): pyspark.mllib.util (17s)
Finished test(python3.6): pyspark.serializers (12s)
Finished test(python3.6): pyspark.rdd (18s)
Finished test(python3.6): pyspark.sql.conf (4s)
Finished test(python3.6): pyspark.sql.catalog (14s)
Finished test(python3.6): pyspark.sql.column (13s)
Finished test(python3.6): pyspark.sql.context (15s)
Finished test(python3.6): pyspark.sql.group (26s)
Finished test(python3.6): pyspark.sql.dataframe (31s)
Finished test(python3.6): pyspark.sql.functions (32s)
Finished test(python3.6): pyspark.sql.types (5s)
Finished test(python3.6): pyspark.sql.streaming (11s)
Finished test(python3.6): pyspark.sql.window (5s)
Finished test(python3.6): pyspark.streaming.util (0s)
Finished test(python3.6): pyspark.sql.session (15s)
Finished test(python3.6): pyspark.sql.readwriter (34s)
Tests passed in 376 seconds

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Test build #74970 has finished for PR 17374 at commit 242afc9.

  • This patch fails to build.
  • This patch merges cleanly.
  • This patch adds no public classes.

@HyukjinKwon

HyukjinKwon commented Mar 21, 2017

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(I manually tested in the commit before some commits because it seems the build in branch-2.0 is being failed)

… cloudpickle changes for PySpark to work with Python 3.6.0
## What changes were proposed in this pull request?
Currently, PySpark does not work with Python 3.6.0.
Running `./bin/pyspark` simply throws the error as below and PySpark does not work at all:
```
Traceback (most recent call last):
File ".../spark/python/pyspark/shell.py", line 30, in <module>
import pyspark
File ".../spark/python/pyspark/__init__.py", line 46, in <module>
from pyspark.context import SparkContext
File ".../spark/python/pyspark/context.py", line 36, in <module>
from pyspark.java_gateway import launch_gateway
File ".../spark/python/pyspark/java_gateway.py", line 31, in <module>
from py4j.java_gateway import java_import, JavaGateway, GatewayClient
File "<frozen importlib._bootstrap>", line 961, in _find_and_load
File "<frozen importlib._bootstrap>", line 950, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 646, in _load_unlocked
File "<frozen importlib._bootstrap>", line 616, in _load_backward_compatible
File ".../spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 18, in <module>
File "/usr/local/Cellar/python3/3.6.0/Frameworks/Python.framework/Versions/3.6/lib/python3.6/pydoc.py", line 62, in <module>
import pkgutil
File "/usr/local/Cellar/python3/3.6.0/Frameworks/Python.framework/Versions/3.6/lib/python3.6/pkgutil.py", line 22, in <module>
ModuleInfo = namedtuple('ModuleInfo', 'module_finder name ispkg')
File ".../spark/python/pyspark/serializers.py", line 394, in namedtuple
cls = _old_namedtuple(*args, **kwargs)
TypeError: namedtuple() missing 3 required keyword-only arguments: 'verbose', 'rename', and 'module'
```
The root cause seems because some arguments of `namedtuple` are now completely keyword-only arguments from Python 3.6.0 (See https://bugs.python.org/issue25628).
We currently copy this function via `types.FunctionType` which does not set the default values of keyword-only arguments (meaning `namedtuple.__kwdefaults__`) and this seems causing internally missing values in the function (non-bound arguments).
This PR proposes to work around this by manually setting it via `kwargs` as `types.FunctionType` seems not supporting to set this.
Also, this PR ports the changes in cloudpickle for compatibility for Python 3.6.0.
## How was this patch tested?
Manually tested with Python 2.7.6 and Python 3.6.0.
```
./bin/pyspsark
```
, manual creation of `namedtuple` both in local and rdd with Python 3.6.0,
and Jenkins tests for other Python versions.
Also,
```
./run-tests --python-executables=python3.6
```
```
Will test against the following Python executables: ['python3.6']
Will test the following Python modules: ['pyspark-core', 'pyspark-ml', 'pyspark-mllib', 'pyspark-sql', 'pyspark-streaming']
Finished test(python3.6): pyspark.sql.tests (192s)
Finished test(python3.6): pyspark.accumulators (3s)
Finished test(python3.6): pyspark.mllib.tests (198s)
Finished test(python3.6): pyspark.broadcast (3s)
Finished test(python3.6): pyspark.conf (2s)
Finished test(python3.6): pyspark.context (14s)
Finished test(python3.6): pyspark.ml.classification (21s)
Finished test(python3.6): pyspark.ml.evaluation (11s)
Finished test(python3.6): pyspark.ml.clustering (20s)
Finished test(python3.6): pyspark.ml.linalg.__init__ (0s)
Finished test(python3.6): pyspark.streaming.tests (240s)
Finished test(python3.6): pyspark.tests (240s)
Finished test(python3.6): pyspark.ml.recommendation (19s)
Finished test(python3.6): pyspark.ml.feature (36s)
Finished test(python3.6): pyspark.ml.regression (37s)
Finished test(python3.6): pyspark.ml.tuning (28s)
Finished test(python3.6): pyspark.mllib.classification (26s)
Finished test(python3.6): pyspark.mllib.evaluation (18s)
Finished test(python3.6): pyspark.mllib.clustering (44s)
Finished test(python3.6): pyspark.mllib.linalg.__init__ (0s)
Finished test(python3.6): pyspark.mllib.feature (26s)
Finished test(python3.6): pyspark.mllib.fpm (23s)
Finished test(python3.6): pyspark.mllib.random (8s)
Finished test(python3.6): pyspark.ml.tests (92s)
Finished test(python3.6): pyspark.mllib.stat.KernelDensity (0s)
Finished test(python3.6): pyspark.mllib.linalg.distributed (25s)
Finished test(python3.6): pyspark.mllib.stat._statistics (15s)
Finished test(python3.6): pyspark.mllib.recommendation (24s)
Finished test(python3.6): pyspark.mllib.regression (26s)
Finished test(python3.6): pyspark.profiler (9s)
Finished test(python3.6): pyspark.mllib.tree (16s)
Finished test(python3.6): pyspark.shuffle (1s)
Finished test(python3.6): pyspark.mllib.util (18s)
Finished test(python3.6): pyspark.serializers (11s)
Finished test(python3.6): pyspark.rdd (20s)
Finished test(python3.6): pyspark.sql.conf (8s)
Finished test(python3.6): pyspark.sql.catalog (17s)
Finished test(python3.6): pyspark.sql.column (18s)
Finished test(python3.6): pyspark.sql.context (18s)
Finished test(python3.6): pyspark.sql.group (27s)
Finished test(python3.6): pyspark.sql.dataframe (33s)
Finished test(python3.6): pyspark.sql.functions (35s)
Finished test(python3.6): pyspark.sql.types (6s)
Finished test(python3.6): pyspark.sql.streaming (13s)
Finished test(python3.6): pyspark.streaming.util (0s)
Finished test(python3.6): pyspark.sql.session (16s)
Finished test(python3.6): pyspark.sql.window (4s)
Finished test(python3.6): pyspark.sql.readwriter (35s)
Tests passed in 433 seconds
```
Author: hyukjinkwon <gurwls223@gmail.com>
Closesapache#16429 from HyukjinKwon/SPARK-19019.
@SparkQA

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Test build #74982 has finished for PR 17374 at commit affc3b2.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

@HyukjinKwon

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cc @davies

@davies

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lgtm

@jbloom22

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Our users (https://hail.is) are running into this bug. Will the backport be merged soon? Thanks!

@holdenk

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LGTM I'll merge this today.

@holdenk

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@jbloom22 is there any particular reason your waiting on this in the 2.X branch?

asfgit pushed a commit that referenced this pull request Apr 17, 2017
…e` and port cloudpickle changes for PySpark to work with Python 3.6.0
## What changes were proposed in this pull request?
This PR proposes to backports #16429 to branch-2.0 so that Python 3.6.0 works with Spark 2.0.x.
## How was this patch tested?
Manually, via
```
./run-tests --python-executables=python3.6
```
```
Finished test(python3.6): pyspark.tests (124s)
Finished test(python3.6): pyspark.accumulators (4s)
Finished test(python3.6): pyspark.broadcast (4s)
Finished test(python3.6): pyspark.conf (3s)
Finished test(python3.6): pyspark.context (15s)
Finished test(python3.6): pyspark.ml.classification (24s)
Finished test(python3.6): pyspark.sql.tests (190s)
Finished test(python3.6): pyspark.mllib.tests (190s)
Finished test(python3.6): pyspark.ml.clustering (14s)
Finished test(python3.6): pyspark.ml.linalg.__init__ (0s)
Finished test(python3.6): pyspark.ml.recommendation (18s)
Finished test(python3.6): pyspark.ml.feature (28s)
Finished test(python3.6): pyspark.ml.evaluation (28s)
Finished test(python3.6): pyspark.ml.regression (21s)
Finished test(python3.6): pyspark.ml.tuning (17s)
Finished test(python3.6): pyspark.streaming.tests (239s)
Finished test(python3.6): pyspark.mllib.evaluation (15s)
Finished test(python3.6): pyspark.mllib.classification (24s)
Finished test(python3.6): pyspark.mllib.clustering (37s)
Finished test(python3.6): pyspark.mllib.linalg.__init__ (0s)
Finished test(python3.6): pyspark.mllib.fpm (19s)
Finished test(python3.6): pyspark.mllib.feature (19s)
Finished test(python3.6): pyspark.mllib.random (8s)
Finished test(python3.6): pyspark.ml.tests (76s)
Finished test(python3.6): pyspark.mllib.stat.KernelDensity (0s)
Finished test(python3.6): pyspark.mllib.recommendation (21s)
Finished test(python3.6): pyspark.mllib.linalg.distributed (27s)
Finished test(python3.6): pyspark.mllib.regression (22s)
Finished test(python3.6): pyspark.mllib.stat._statistics (11s)
Finished test(python3.6): pyspark.mllib.tree (16s)
Finished test(python3.6): pyspark.profiler (8s)
Finished test(python3.6): pyspark.shuffle (1s)
Finished test(python3.6): pyspark.mllib.util (17s)
Finished test(python3.6): pyspark.serializers (12s)
Finished test(python3.6): pyspark.rdd (18s)
Finished test(python3.6): pyspark.sql.conf (4s)
Finished test(python3.6): pyspark.sql.catalog (14s)
Finished test(python3.6): pyspark.sql.column (13s)
Finished test(python3.6): pyspark.sql.context (15s)
Finished test(python3.6): pyspark.sql.group (26s)
Finished test(python3.6): pyspark.sql.dataframe (31s)
Finished test(python3.6): pyspark.sql.functions (32s)
Finished test(python3.6): pyspark.sql.types (5s)
Finished test(python3.6): pyspark.sql.streaming (11s)
Finished test(python3.6): pyspark.sql.window (5s)
Finished test(python3.6): pyspark.streaming.util (0s)
Finished test(python3.6): pyspark.sql.session (15s)
Finished test(python3.6): pyspark.sql.readwriter (34s)
Tests passed in 376 seconds
```
Author: hyukjinkwon <gurwls223@gmail.com>
Closes#17374 from HyukjinKwon/SPARK-19019-backport.
@holdenk

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Merged into branch-2.0.

Thanks for doing this @HyukjinKwon , sorry for my hesitation with merging backports (these are the first pure backport PRs I've merged rather than sanctimoniously merging into an old branch as well).

@HyukjinKwon

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I do understand the concern. Thank you @holdenk.

@HyukjinKwon
HyukjinKwon deleted the SPARK-19019-backport branch April 17, 2017 20:09
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5 participants

@HyukjinKwon@SparkQA@davies@jbloom22@holdenk