GitHub user kmader opened a pull request:
https://github.com/apache/spark/pull/1658
Generic Binary File Support in Spark
The additions add the abstract BinaryFileInputFormat and BinaryRecordReader
classes for reading in data as a byte stream and converting it to another
format using the ```def parseByteArray(inArray: Array[Byte]): T``` function.
As a trivial example ByteInputFormat and ByteRecordReader are included
which just return the Array[Byte] from a given file.
Finally a RDD for BinaryFileInputFormat (to allow for easier partitioning
changes as was done for WholeFileInput) was added and the appropriate byteFiles
to the SparkContext so the functions can be easily used by others.
A common use case might be to read in a folder
```
sc.byteFiles("s3://mydrive/tif/*.tif").map(rawData =>
ReadTiffFromByteArray(rawData)
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/4Quant/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1658.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 #1658
----
commit 81c5f12f316ef6d344663fb70d861f30243cdc3d
Author: Kevin Mader <[email protected]>
Date: 2014-07-30T10:32:11Z
Merge pull request #1 from apache/master
Updating to the lastest spark repository
commit 84035f13028553c595a46a0c0f60b5e448ae3db5
Author: Kevin Mader <[email protected]>
Date: 2014-07-30T11:26:24Z
adding binary and byte file support spark
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
