GitHub user chenghao-intel opened a pull request:
https://github.com/apache/spark/pull/3708
[SPARK-4856] [SQL] NullType instead of StringType when sampling against
empty string or nul...
```
TestSQLContext.sparkContext.parallelize(
"""{"ip":"27.31.100.29","headers":{"Host":"1.abc.com","Charset":"UTF-8"}}""" ::
"""{"ip":"27.31.100.29","headers":{}}""" ::
"""{"ip":"27.31.100.29","headers":""}""" :: Nil)
```
As empty string (the "headers") will be considered as String in the
beginning (in line 2 and 3), it ignores the real nested data type (struct type
"headers" in line 1), and also take the line 1 (the "headers") as String Type,
which is not our expected.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/chenghao-intel/spark json
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/3708.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 #3708
----
commit 853de511ab1f695477c15d38324a6e34fb70ef35
Author: Cheng Hao <[email protected]>
Date: 2014-12-16T01:12:22Z
NullType instead of StringType when sampling against empty string or null
value
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