GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/16854
[SPARK-15463][SQL] Add an API to load DataFrame from Dataset[String]
## What changes were proposed in this pull request?
This PR proposes to add an API that loads `DataFrame` from
`Dataset[String]`.
It allows pre-processing before loading into CSV, which means allowing a
lot of workarounds for many narrow cases.
- Case 1 - pre-processing
```scala
val df = spark.read.text("...")
// Pre-processing with this.
spark.read.csv(df.as[String])
```
- Case 2 - use other input formats
```scala
val rdd = spark.sparkContext.newAPIHadoopFile("/file.csv.lzo",
classOf[com.hadoop.mapreduce.LzoTextInputFormat],
classOf[org.apache.hadoop.io.LongWritable],
classOf[org.apache.hadoop.io.Text])
spark.read.csv(rdd.toDS)
```
## How was this patch tested?
Added tests in `CSVSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-15463
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16854.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 #16854
----
commit eabb3f3f83da2d74cb24bf483639c85f7466a56e
Author: hyukjinkwon <gurwls...@gmail.com>
Date: 2017-02-08T14:46:55Z
Add an API to load DataFrame from Dataset[String]
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