GitHub user 0x0FFF opened a pull request:
https://github.com/apache/spark/pull/8574
[SPARK-10417][SQL] Iterating through Column results in infinite loop
`pyspark.sql.column.Column` object has `__getitem__` method, which makes it
iterable for Python. In fact it has `__getitem__` to address the case when the
column might be a list or dict, for you to be able to access certain element of
it in DF API. The ability to iterate over it is just a side effect that might
cause confusion for the people getting familiar with Spark DF (as you might
iterate this way on Pandas DF for instance)
Issue reproduction:
```
df = sqlContext.jsonRDD(sc.parallelize(['{"name": "El Magnifico"}']))
for i in df["name"]: print i
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/0x0FFF/spark SPARK-10417
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8574.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 #8574
----
commit ea2e9d4e5e1abf7c4913ad33cb89424f444b80b7
Author: 0x0FFF <[email protected]>
Date: 2015-09-02T14:27:04Z
[SPARK-10417][SQL] Iterating through Column results in infinite loop
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