GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/18373
[SPARK-20431][FOLLOWUP][SS] Specify a schema by using a DDL-formatted
string in DataStreamReader
## What changes were proposed in this pull request?
This pr supported a DDL-formatted string in `DataStreamReader.schema`.
This fix could make users easily define a schema without importing the type
classes.
For example,
```scala
scala> spark.readStream.schema("col0 INT, col1
DOUBLE").load("/tmp/abc").printSchema()
root
|-- col0: integer (nullable = true)
|-- col1: double (nullable = true)
```
## How was this patch tested?
Added tests in `DataStreamReaderWriterSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-20431
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18373.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 #18373
----
commit 8df0cd2e1ac79d423510a7d66839791cd3335a6d
Author: hyukjinkwon <gurwls...@gmail.com>
Date: 2017-06-21T02:46:37Z
Specify a schema by using a DDL-formatted string in DataStreamReader
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