[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18730 thanks, merging to master! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 @cloud-fan Jekins done! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18730 retest this please --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 @cloud-fan can we retest this?Thanks --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
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Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 Thanks for your time @cloud-fan --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18730 LGTM, pending jenkins --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 Done @cloud-fan --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18730 if there is no regression, can we just update `writeFully` instead of adding `writeWithSlice`? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 Update with [Benchmark](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/Benchmark.scala) @kiszk ``` Running benchmark: Benchmark writeWithSlice() and writeFully() Running case: Test writeFully() chunks each with 30m for 10 loop Stopped after 10 iterations, 2365 ms Running case: Test writeWithSlice() chunks each with 30m for 10 loop Stopped after 10 iterations, 1440 ms Running case: Test writeFully() chunks each with 100m for 50 loop Stopped after 50 iterations, 2860 ms Running case: Test writeWithSlice() chunks each with 100m for 50 loop Stopped after 50 iterations, 2834 ms Java HotSpot(TM) 64-Bit Server VM 1.8.0_25-b17 on Linux 4.4.0-64-generic Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz Benchmark writeWithSlice() and writeFully(): Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative Test writeFully() chunks each with 30m for 10 loop98 / 237 160.8 6.2 1.0X Test writeWithSlice() chunks each with 30m for 10 loop55 / 144 287.6 3.5 1.8X Test writeFully() chunks each with 100m for 50 loop54 / 57 290.3 3.4 1.8X Test writeWithSlice() chunks each with 100m for 50 loop54 / 57 288.9 3.5 1.8X ``` --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/18730 Thank you for preparing a benchmark. Could you please write a benchmark using [Benchmark](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/Benchmark.scala) class? Java/Scala benchmark usually needs warmup run to avoid execution time by an interpreter. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #18730: [SPARK-21527][CORE] Use buffer limit in order to use JAV...
Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 I mock some local test for two different api. From the simple test result, we can see slice will not affect the performance of write bytes.Test result below: ``` ãTest 10 chunks each with 30m for 1 loopã Time cost with 1 loop for writeFully(): 83 ms Time cost with 1 loop for writeWithSlice(): 76 ms ãEndingã ãTest 10 chunks each with 100m for 1 loopã Time cost with 1 loop for writeFully(): 219 ms Time cost with 1 loop for writeWithSlice(): 213 ms ãEndingã ãTest 10 chunks each with 30m for 10 loopã Time cost with 10 loop for writeFully(): 982 ms Time cost with 10 loop for writeWithSlice(): 1000 ms ãEndingã ãTest 10 chunks each with 100m for 10 loopã Time cost with 10 loop for writeFully(): 3298 ms Time cost with 10 loop for writeWithSlice(): 3454 ms ãEndingã ãTest 10 chunks each with 30m for 50 loopã Time cost with 50 loop for writeFully(): 3444 ms Time cost with 50 loop for writeWithSlice(): 3329 ms ãEndingã ãTest 10 chunks each with 100m for 50 loopã Time cost with 50 loop for writeFully(): 21913 ms Time cost with 50 loop for writeWithSlice(): 17574 ms ãEndingã ``` Test code below: ``` test("benchmark testing") { // scalastyle:off val buffer100 = ByteBuffer.allocate(1024 * 1024 * 100) val buffer30 = ByteBuffer.allocate(1024 * 1024 * 30) testWithLoop(1, new ChunkedByteBuffer(Array.fill(10)(buffer30)), "Test 10 chunks each with 30m for 1 loop") testWithLoop(1, new ChunkedByteBuffer(Array.fill(10)(buffer100)), "Test 10 chunks each with 100m for 1 loop") testWithLoop(10, new ChunkedByteBuffer(Array.fill(10)(buffer30)), "Test 10 chunks each with 30m for 10 loop") testWithLoop(10, new ChunkedByteBuffer(Array.fill(10)(buffer100)), "Test 10 chunks each with 100m for 10 loop") testWithLoop(50, new ChunkedByteBuffer(Array.fill(10)(buffer30)), "Test 10 chunks each with 30m for 50 loop") testWithLoop(50, new ChunkedByteBuffer(Array.fill(10)(buffer100)), "Test 10 chunks each with 100m for 50 loop") } // scalastyle:off private def testWithLoop(loopTimes : Int, chunkedByteBuffer: ChunkedByteBuffer, testString: String) { System.out.println(s"ã$testStringã") var starTime = System.currentTimeMillis() for (i <- 1 to loopTimes) { chunkedByteBuffer.writeFully(new ByteArrayWritableChannel(chunkedByteBuffer.size.toInt)) } System.out.println(s"Time cost with $loopTimes loop for writeFully():${Utils.getUsedTimeMs(starTime)}") starTime = System.currentTimeMillis() for (i <- 1 to loopTimes) { chunkedByteBuffer.writeWithSlice(new ByteArrayWritableChannel(chunkedByteBuffer.size.toInt)) } System.out.println(s"Time cost with $loopTimes loop for writeWithSlice():${Utils.getUsedTimeMs(starTime)}") System.out.println("ãEndingã") System.out.println("") } ``` --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 @jiangxb1987 Ok,i will try to do some benchmark tesing. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/18730 It would be great to benchmark this improvement, otherwise we are not sure there is no regression. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user caneGuy commented on the issue: https://github.com/apache/spark/pull/18730 @cloud-fan Thanks for your time to review this pr.Actually,there is an application in our cluster always failed with direct memory oom.I have not measure performance with some bechmark test,but this feature has run in our cluster for a long time and i observed this has not caused any performance issue. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18730 retest this please --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18730 ok to test --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/18730 looks reasonable, do you have some performance numbers? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user AmplabJenkins commented on the issue: https://github.com/apache/spark/pull/18730 Can one of the admins verify this patch? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org