GitHub user granders opened a pull request:
https://github.com/apache/kafka/pull/179
KAFKA-2489: add benchmark for new consumer
@ewencp
The changes here are smaller than they look - mostly refactoring/cleanup.
- ConsumerPerformance.scala - corrected timeout inequality which had
prevented this from working with new consumer
- ConsumerPerformanceService: added new_consumer flag, and exposed more
command-line settings
- benchmark.py: refactored to use `@parametrize` and `@matrix` - this
reduced some amount of repeated code
- benchmark.py: added consumer performance tests with new consumer (using
`@parametrize`)
- benchmark.py: added more detailed test descriptions
- performance.py: broke into separate files
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/confluentinc/kafka
KAFKA-2489-benchmark-new-consumer
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/kafka/pull/179.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 #179
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commit 6525594e2c4803f85403f260ddcb18ff5ae6c0a0
Author: Geoff Anderson <[email protected]>
Date: 2015-08-29T05:24:29Z
Fixed typo in ProducerPerformance.java
commit fa5f81094215a69f00076cc2a07c2e3d19f9a34f
Author: Geoff Anderson <[email protected]>
Date: 2015-08-29T05:25:53Z
Fixed ConsumerPerformance.scala with new consumer: incorrect inequality
previously caused this to time out without consuming any messages with new
consumer.
commit 45b31f3d5f7a2ae6d4d27737012495cc8ad1c70d
Author: Geoff Anderson <[email protected]>
Date: 2015-08-29T05:28:57Z
Updated consumer throughput tests to run with new and old consumer.
Refactored with @parametrize and @matrix to reduce duplicated code.
commit f4d837330fdda2bc7918b97e740ba91a9d456462
Author: Geoff Anderson <[email protected]>
Date: 2015-08-29T05:30:37Z
Refactored performance.py - broke services into individual files. This does
not change the way external users would import and use the performance services
however.
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