Hi All,
The release process for Flink 1.8.0 is currently ongoing. Please have a look at the thread, in case you’re interested in checking your applications against this next release of Apache Flink and participate in the process. Best, Aljoscha
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Hi Aljoscha&All, When I did the `end-to-end` test for RC3 under Mac OS, I found the following two problems: 1. The verification returned for different `minikube status` is is not enough for the robustness. The strings returned by different versions of different platforms are different. the following misjudgment is caused: When the `Command: start_kubernetes_if_not_ruunning failed` error occurs, the minikube has actually started successfully. The core reason is that there is a bug in the `test_kubernetes_embedded_job.sh` script. See FLINK-11971 for details. 2. Since the difference between 1.8.0 and 1.7.x is that 1.8.x does not put the `hadoop-shaded` JAR integrated into the dist. It will cause an error when the end-to-end test cannot be found with `Hadoop` Related classes, such as: `java.lang.NoClassDefFoundError: Lorg/apache/hadoop/fs/FileSystem`. So we need to improve the end-to-end test script, or explicitly stated in the README, i.e. end-to-end test need to add `flink-shaded-hadoop2-uber-XXXX.jar` to the classpath. See FLINK-11972 for details. I think this is not a blocker for release-1.8.0, but I think it would be better to include those commits in release-1.8 If we still have performance related bugs should be fixed. What do you think? Best, Jincheng Aljoscha Krettek <[hidden email]> 于2019年3月19日周二 下午7:58写道:
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+1 (non-binding) Checked items: - checked checksums and GPG files - verified that the source archives do not contains any binaries - checked that all POM files point to the same version - build from source successfully Best, Kurt On Wed, Mar 20, 2019 at 2:12 PM jincheng sun <[hidden email]> wrote:
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Thanks Jincheng! It would be very good to fix those but as you said, I would say they are not blockers.
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-1 from my side due to performance regression found in the master branch since Jan 29th.
In 10% JVM forks it was causing huge performance drop in some of the benchmarks (up to 30-50% reduced throughput), which could mean that one out of 10 task managers could be affected by it. Today we have merged a fix for it [1]. First benchmark run was promising [2], but we have to wait until tomorrow to make sure that the problem was definitely resolved. If that’s the case, I would recommend including it in 1.8.0, because we really do not know how big of performance regression this issue can be in the real world scenarios.
Regarding the second regression from mid February. We have found the responsible commit and this one is probably just a false positive. Because of the nature some of the benchmarks, they are running with low number of records (300k). The apparent performance regression was caused by higher initialisation time. When I temporarily increased the number of records to 2M, the regression was gone. Together with Till and Stefan Richter we discussed the potential impact of this longer initialisation time (in the case of said benchmarks initialisation time increased from 70ms to 120ms) and we think that it’s not a critical issue, that doesn’t have to block the release. Nevertheless there might some follow up work for this. Piotr Nowojski
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Piotr Nowojski <[hidden email]> 于2019年3月21日周四 上午12:29写道:
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-1, observed stably failure on streaming bucketing end-to-end test case in two different environments (Linux/MacOS) when running with both shaded hadoop-2.8.3 jar file and hadoop-2.8.5 dist, while both env could pass with hadoop 2.6.5. More details please refer to this comment in FLINK-11972. Best Regards,
Yu On Thu, 21 Mar 2019 at 04:25, jincheng sun <[hidden email]> wrote:
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Yu Li <[hidden email]> 于2019年3月21日周四 上午7:23写道:
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Thanks @jincheng @Aljoscha I've just opened FLINK-11990 for the HDFS BucketingSink issue with hadoop 2.8. IMHO it might be a blocker for 1.8.0 and need your confirmation. Thanks. Best Regards,
Yu On Thu, 21 Mar 2019 at 15:57, jincheng sun <[hidden email]> wrote:
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Hi Yu,
I commented on the issue. For me both Hadoop 2.8.3 and Hadoop 2.4.1 seem to work. Could you have a look at my comment? I will also cancel this RC because of various issues. Best, Aljoscha
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Thanks for the message Aljoscha, let's discuss in JIRA (just replied there). Best Regards,
Yu On Thu, 21 Mar 2019 at 21:15, Aljoscha Krettek <[hidden email]> wrote:
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