GitHub user brkyvz opened a pull request:
https://github.com/apache/spark/pull/15122
[SPARK-17569] Make StructuredStreaming FileStreamSource batch generation
faster
## What changes were proposed in this pull request?
While getting the batch for a `FileStreamSource` in StructuredStreaming, we
know which files we must take specifically. We already have verified that they
exist, and have committed them to a metadata log. When creating the
FileSourceRelation however for an incremental execution, the code checks the
existence of every single file once again!
When you have 100,000s of files in a folder, creating the first batch takes
2 hours+ when working with S3! This PR disables that check
## How was this patch tested?
Couldn't find any easy way to add a unit test for this. It's not easy to
add a mock `FileSystem`, because the `FileSystem` instance is generated per
file in the method itself. Only way to work around it maybe would be to expose
a method for testing that generates the `FileSystem`?
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/brkyvz/spark SPARK-17569
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15122.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 #15122
----
commit 9b7e2de8d9b6a80095300b9e9f64bc620aa50023
Author: Burak Yavuz <[email protected]>
Date: 2016-09-16T23:00:26Z
make StructuredStreaming fileSource batch generation faster
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