GitHub user NathanHowell opened a pull request:
https://github.com/apache/spark/pull/7947
[SPARK-9618] [SQL] Use the specified schema when reading Parquet files
The user specified schema is currently ignored when loading Parquet files.
One workaround is to use the `format` and `load` methods instead of
`parquet`, e.g.:
```
val schema = ???
// schema is ignored
sqlContext.read.schema(schema).parquet("hdfs:///test")
// schema is retained
sqlContext.read.schema(schema).format("parquet").load("hdfs:///test")
```
The fix is simple, but I wonder if the `parquet` method should instead be
written in a similar fashion to `orc`:
```
def parquet(path: String): DataFrame = format("parquet").load(path)
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/NathanHowell/spark SPARK-9618
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/7947.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 #7947
----
commit d1ea62c80d66c03456adfe39f3f72f110bf71dce
Author: Nathan Howell <[email protected]>
Date: 2015-08-04T22:19:43Z
[SPARK-9618] [SQL] Use the specified schema when reading Parquet files
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