GitHub user ericl opened a pull request:
https://github.com/apache/spark/pull/15026
[SPARK-17472] [PYSPARK] Better error message for serialization failures of
large objects in Python
## What changes were proposed in this pull request?
For large objects, pickle does not raise useful error messages. However, we
can wrap them to be slightly more user friendly:
Example 1:
```
def run():
import numpy.random as nr
b = nr.bytes(8 * 1000000000)
sc.parallelize(range(1000), 1000).map(lambda x: len(b)).count()
run()
```
Before:
```
error: 'i' format requires -2147483648 <= number <= 2147483647
```
After:
```
pickle.PicklingError: Object too large to serialize: 'i' format requires
-2147483648 <= number <= 2147483647
```
Example 2:
```
def run():
import numpy.random as nr
b = sc.broadcast(nr.bytes(8 * 1000000000))
sc.parallelize(range(1000), 1000).map(lambda x: len(b.value)).count()
run()
```
Before:
```
SystemError: error return without exception set
```
After:
```
cPickle.PicklingError: Could not serialize broadcast: SystemError: error
return without exception set
```
## How was this patch tested?
Manually tried out these cases
cc @davies
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ericl/spark spark-17472
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15026.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #15026
----
commit 33f34614b0620835b55924c3bc486bc7add6e906
Author: Eric Liang <[email protected]>
Date: 2016-09-09T16:52:49Z
Fri Sep 9 09:52:49 PDT 2016
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