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[SPARK-8834] Add backpressure-based dynamic throttling to Spark Streaming #14
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huitseeker
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- RateEstimator introduces API for computing max rate of message ingestion from batch updates - RateController sends batch completion updates to an estimator, and maintains a max speed estimate - the RateController test is in ignore because of long running time
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elemsPerBlock is not defined. I guess it should be eps here.
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Crap, and I thought I was helping by adding one logging commit :-/
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Code looks |
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I get a compilation error on this line, but I'm not sure why.
[error] /home/ubuntu/dev/spark/spark-ops/release_spark/target/spark/external/kafka/src/main/scala/org/apache/spark/streaming/kafka/DirectKafkaInputDStream.scala:80: wrong number of parameters; expected = 1
[error] rateController.map(_.getLatestRate()).filter(_ > 0).fold(ratePerSec) {_ min _}
[error] ^
[error] one error found
[error] Compile failed at Jul 10, 2015 2:55:16 PM [1.198s]
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Couldn't reproduce, but I think I know why, wait a sec.
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Refer to this link for build results (access rights to CI server needed): Build Log Test FAILed. |
This RateController maintains a prescriptive max speed estimate from a (possibly custom) rate estimator. Dynamically rate-limits this DStream if it is a ReceiverInputDStream
As with the RateLimiter, the global configuration parameter is taken as an absolute limit.
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retest this please |
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Refer to this link for build results (access rights to CI server needed): Build Log Test FAILed. |
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completely unrelated flaky test in spark SQL's logical plans failing. |
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Why the coercion from long to int?
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This supersedes #13, #11, #9 .