Hi Cliff, If so, you can explicitly exclude Avro's dependencies from related dependencies (using <exclude>) and then directly introduce dependencies on the Avro version you need.
Thanks, vino. Cliff Resnick <cre...@gmail.com> 于2018年8月21日周二 上午5:13写道： > Hi Vino, > > Unfortunately, I'm still stuck here. By moving the avro dependency chain > to lib (and removing it from user jar), my OCFs decode but I get the error > described here: > > https://github.com/confluentinc/schema-registry/pull/509 > > However, the Flink fix described in the PR above was to move the Avro > dependency to the user jar. However, since I'm using YARN, I'm required to > have flink-shaded-hadoop2-uber.jar loaded from lib -- and that has > avro bundled un-shaded. So I'm back to the start problem... > > Any advice is welcome! > > -Cliff > > > On Mon, Aug 20, 2018 at 1:42 PM Cliff Resnick <cre...@gmail.com> wrote: > >> Hi Vino, >> >> You were right in your assumption -- unshaded avro was being added to our >> application jar via third-party dependency. Excluding it in packaging fixed >> the issue. For the record, it looks flink-avro must be loaded from the lib >> or there will be errors in checkpoint restores. >> >> On Mon, Aug 20, 2018 at 8:43 AM Cliff Resnick <cre...@gmail.com> wrote: >> >>> Hi Vino, >>> >>> Thanks for the explanation, but the job only ever uses the Avro (1.8.2) >>> pulled in by flink-formats/avro, so it's not a class version conflict >>> there. >>> >>> I'm using default child-first loading. It might be a further transitive >>> dependency, though it's not clear by stack trace or stepping through the >>> process. When I get a chance I'll look further into it but in case anyone >>> is experiencing similar problems, what is clear is that classloader order >>> does matter with Avro. >>> >>> On Sun, Aug 19, 2018, 11:36 PM vino yang <yanghua1...@gmail.com> wrote: >>> >>>> Hi Cliff, >>>> >>>> My personal guess is that this may be caused by Job's Avro conflict >>>> with the Avro that the Flink framework itself relies on. >>>> Flink has provided some configuration parameters which allows you to >>>> determine the order of the classloaders yourself. [1] >>>> Alternatively, you can debug classloading and participate in the >>>> documentation.[2] >>>> >>>> [1]: >>>> https://ci.apache.org/projects/flink/flink-docs-release-1.6/ops/config.html >>>> [2]: >>>> https://ci.apache.org/projects/flink/flink-docs-stable/monitoring/debugging_classloading.html >>>> >>>> Thanks, vino. >>>> >>>> Cliff Resnick <cre...@gmail.com> 于2018年8月20日周一 上午10:40写道： >>>> >>>>> Our Flink/YARN pipeline has been reading Avro from Kafka for a while >>>>> now. We just introduced a source of Avro OCF (Object Container Files) read >>>>> from S3. The Kafka Avro continued to decode without incident, but the OCF >>>>> files failed 100% with anomalous parse errors in the decoding phase after >>>>> the schema and codec were successfully read from them. The pipeline would >>>>> work on my laptop, and when I submitted a test Main program to the Flink >>>>> Session in YARN, that would also successfully decode. Only the actual >>>>> pipeline run from the TaskManager failed. At one point I even remote >>>>> debugged the TaskManager process and stepped through what looked like a >>>>> normal Avro decode (if you can describe Avro code as normal!) -- until it >>>>> abruptly failed with an int decode or what-have-you. >>>>> >>>>> This stumped me for a while, but I finally tried moving flink-avro.jar >>>>> from the lib to the application jar, and that fixed it. I'm not sure why >>>>> this is, especially since there were no typical classloader-type errors. >>>>> This issue was observed both on Flink 1.5 and 1.6 in Flip-6 mode. >>>>> >>>>> -Cliff >>>>> >>>>> >>>>> >>>>> >>>>> >>>>>
