GitHub user bowenli86 opened a pull request:
https://github.com/apache/flink/pull/4656
[FLINK-7508][kinesis] switch FlinkKinesisProducer to use KPL's
ThreadingMode to ThreadedPool mode rather than Per_Request mode
## What is the purpose of the change
KinesisProducerLibrary (KPL) 0.10.x had been using a
One-New-Thread-Per-Request model for all requests sent to AWS Kinesis, which is
very expensive.
0.12.4 introduced a new ThreadingMode - Pooled, which will use a thread
pool. This hugely improves KPL's performance and reduces consumed resources. By
default, KPL still uses per-request mode. We should explicitly switch
FlinkKinesisProducer's KPL threading mode to 'Pooled'.
This work depends on FLINK-7366 and FLINK-7508
Benchmarking I did:
- Environment: Running a Flink hourly-sliding windowing job on 18-node EMR
cluster with R4.2xlarge instances. Each hourly-sliding window in the Flink job
generates about 21million UserRecords, which means that we generated a test
load of 21million UserRecords at the first minute of each hour.
- Criteria: Test KPL throughput per minute. Since the default RecordTTL for
KPL is 30 sec, we can be sure that either all UserRecords are sent by KPL
within a minute, or we will see UserRecord expiration errors.
- One-New-Thread-Per-Request model: max throughput is about 2million
UserRecords per min; it doesn't go beyond that because CPU utilization goes to
100%, everything stopped working and that Flink job crashed.
- Thread-Pool model with pool size of 10: it sends out 21million
UserRecords within 30 sec without any UserRecord expiration errors. The average
peak CPU utilization is about 20% - 30%. So 21million UserRecords/min is not
the max throughput of thread-pool model. We didn't go any further because 1)
this throughput is already a couple times more than what we really need, and 2)
we don't have a quick way of increasing the test load
Thus, I propose switching FlinkKinesisProducer to Thread-Pool mode.
## Brief change log
- *switch FlinkKinesisProducer to use KPL's ThreadingMode to ThreadedPool
mode rather than Per_Request mode*
- *update docs*
## Verifying this change
This change added tests and can be verified as follows:
- *added unit tests in
flink-connector-kinesis/src/test/java/org/apache/flink/streaming/connectors/kinesis/util/KinesisConfigUtilTest.java*
## Does this pull request potentially affect one of the following parts:
## Documentation
- Does this pull request introduce a new feature? (yes)
- If yes, how is the feature documented? (docs)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/bowenli86/flink FLINK-7508
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/4656.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 #4656
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commit 6386983239bd3024b395c865ec4fd33e232ca5a3
Author: Bowen Li <[email protected]>
Date: 2017-08-30T16:35:03Z
FLINK-7422 Upgrade Kinesis Client Library (KCL) and AWS SDK in
flink-connector-kinesis
commit 381cd4156b84673a1d32d2db3f7b2d748d90d980
Author: Bowen Li <[email protected]>
Date: 2017-09-07T06:33:37Z
Merge remote-tracking branch 'upstream/master'
commit 893ec61bebfa20a038819bf1929791e57b98f33b
Author: Bowen Li <[email protected]>
Date: 2017-09-07T20:34:09Z
FLINK-7508 switch FlinkKinesisProducer to use KPL's ThreadingMode to
threaded-pool mode rather than one_thread_per_request mode
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