GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/18199
[SPARK-20979][SS]Add RateSource to generate values for tests and benchmark
## What changes were proposed in this pull request?
This PR adds RateSource for Structured Streaming so that the user can use
it to generate data for tests and benchmark easily.
This source generates increment long values with timestamps. Each generated
row has two columns: a timestamp column for the generated time and an auto
increment long column starting with 0L.
It supports the following options:
- `tuplesPerSecond` (default: 1): How many tuples should be generated per
second.
- `rampUpTimeSeconds` (default: 0): How many seconds to ramp up before the
generating speed becomes `tuplesPerSecond`.
- `numPartitions` (default: Spark's default parallelism): The partition
number for the generated tuples.
The idea came from @marmbrus and he did the initial work.
## How was this patch tested?
The added tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zsxwing/spark rate
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18199.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 #18199
----
commit 554eafbe68277cf1248ed97da4006df433cd04ba
Author: Michael Armbrust <mich...@databricks.com>
Date: 2017-05-22T22:33:10Z
add time source
commit 5b45b1bfcc35ea5b4fa836b983b4737ed50b4abd
Author: Shixiong Zhu <shixi...@databricks.com>
Date: 2017-06-05T05:20:20Z
polish and tests
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