GitHub user ueshin opened a pull request:
https://github.com/apache/spark/pull/18553
[SPARK-21327][SQL][PYSPARK] ArrayConstructor should handle an array of
typecode 'l' as long rather than int in Python 2.
## What changes were proposed in this pull request?
Currently `ArrayConstructor` handles an array of typecode `'l'` as `int`
when converting Python object in Python 2 into Java object, so if the value is
larger than `Integer.MAX_VALUE` or smaller than `Integer.MIN_VALUE` then the
overflow occurs.
```python
import array
data = [Row(l=array.array('l', [-9223372036854775808, 0,
9223372036854775807]))]
df = spark.createDataFrame(data)
df.show(truncate=False)
```
```
+----------+
|l |
+----------+
|[0, 0, -1]|
+----------+
```
This should be:
```
+----------------------------------------------+
|l |
+----------------------------------------------+
|[-9223372036854775808, 0, 9223372036854775807]|
+----------------------------------------------+
```
## How was this patch tested?
Added a test and existing tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ueshin/apache-spark issues/SPARK-21327
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18553.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 #18553
----
commit c729effe944075db3a563a522316ef85250cf322
Author: Takuya UESHIN <ues...@databricks.com>
Date: 2017-07-06T08:38:14Z
Modify ArrayConstructor to handle an array of typecode 'l' as long rather
than int.
----
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