Re: Java object serialization error, java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible
Yep! Thanks Robert for engaging on Slack! Just had to dig in a bit - I ended up building the 3.3.0 jobserver from scratch (the docker build env is very slick, despite encountering a couple of hiccups), before I realized the image was available on docker hub :facepalm: ... On Fri, Aug 26, 2022 at 7:50 PM Robert Burke wrote: > Woohoo! Glad that was figured out. > > On Fri, Aug 26, 2022, 4:40 PM Elliot Metsger wrote: > >> >> So, it turns out this was a Spark version mismatch between the Beam >> JobServer and the Spark platform. >> >> I'm running both Beam and Spark on Docker; the Spark image [0] provided >> version 3.3.0 and Scala version 2.12, but I used >> apache/beam_spark_job_server:2.41.0 [1] which provides Spark 2.4.x >> libraries, Scala version 2.11. Instead, I needed to use the >> apache/beam_spark3_job_server:2.41.0 image [2], which provides Spark 3.3.x. >> >> [0] https://hub.docker.com/r/apache/spark/tags >> [1] https://hub.docker.com/r/apache/beam_spark_job_server/tags >> [2] https://hub.docker.com/r/apache/beam_spark3_job_server/tags >> >> On 2022/08/25 13:48:16 Elliot Metsger wrote: >> > Howdy folks, super-new to Beam, and attempting to get a simple example >> > working with Go, using the portable runner and Spark. There seems to be >> an >> > incompatibility between Java components, and I’m not quite sure where >> the >> > disconnect is, but at the root it seems to be an incompatibility with >> > object serializations. >> > >> > When I submit the job via the go sdk, it errors out on the Spark side >> with: >> > [8:59 AM] 22/08/25 12:45:59 ERROR TransportRequestHandler: Error while >> > invoking RpcHandler#receive() for one-way message. >> > java.io.InvalidClassException: >> > org.apache.spark.deploy.ApplicationDescription; local class >> incompatible: >> > stream classdesc serialVersionUID = 6543101073799644159, local class >> > serialVersionUID = 1574364215946805297 >> > I’m using apache/beam_spark_job_server:2.41.0 and apache/spark:latest. >> > (docker-compose[0], hello world wordcount example pipeline[1]). >> > >> > Any ideas on where to look? It looks like the Beam JobService is using >> > Java 8 (?) and Spark is using Java 11. I’ve tried downgrading Spark >> from >> > 3.3.0 to 3.1.3 (the earliest version for which Docker images are >> > available), and downgrading to Beam 2.40.0 with no luck. >> > >> > This simple repo[2] should demonstrate the issue. Any pointers would >> be >> > appreciated! >> > >> > [0]: >> https://github.com/emetsger/beam-test/blob/develop/docker-compose.yml >> > [1]: >> > >> https://github.com/emetsger/beam-test/blob/develop/debugging_wordcount.go >> > [2]: https://github.com/emetsger/beam-test >> > >> >
Re: Java object serialization error, java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible
Woohoo! Glad that was figured out. On Fri, Aug 26, 2022, 4:40 PM Elliot Metsger wrote: > > So, it turns out this was a Spark version mismatch between the Beam > JobServer and the Spark platform. > > I'm running both Beam and Spark on Docker; the Spark image [0] provided > version 3.3.0 and Scala version 2.12, but I used > apache/beam_spark_job_server:2.41.0 [1] which provides Spark 2.4.x > libraries, Scala version 2.11. Instead, I needed to use the > apache/beam_spark3_job_server:2.41.0 image [2], which provides Spark 3.3.x. > > [0] https://hub.docker.com/r/apache/spark/tags > [1] https://hub.docker.com/r/apache/beam_spark_job_server/tags > [2] https://hub.docker.com/r/apache/beam_spark3_job_server/tags > > On 2022/08/25 13:48:16 Elliot Metsger wrote: > > Howdy folks, super-new to Beam, and attempting to get a simple example > > working with Go, using the portable runner and Spark. There seems to be > an > > incompatibility between Java components, and I’m not quite sure where the > > disconnect is, but at the root it seems to be an incompatibility with > > object serializations. > > > > When I submit the job via the go sdk, it errors out on the Spark side > with: > > [8:59 AM] 22/08/25 12:45:59 ERROR TransportRequestHandler: Error while > > invoking RpcHandler#receive() for one-way message. > > java.io.InvalidClassException: > > org.apache.spark.deploy.ApplicationDescription; local class incompatible: > > stream classdesc serialVersionUID = 6543101073799644159, local class > > serialVersionUID = 1574364215946805297 > > I’m using apache/beam_spark_job_server:2.41.0 and apache/spark:latest. > > (docker-compose[0], hello world wordcount example pipeline[1]). > > > > Any ideas on where to look? It looks like the Beam JobService is using > > Java 8 (?) and Spark is using Java 11. I’ve tried downgrading Spark > from > > 3.3.0 to 3.1.3 (the earliest version for which Docker images are > > available), and downgrading to Beam 2.40.0 with no luck. > > > > This simple repo[2] should demonstrate the issue. Any pointers would be > > appreciated! > > > > [0]: > https://github.com/emetsger/beam-test/blob/develop/docker-compose.yml > > [1]: > > > https://github.com/emetsger/beam-test/blob/develop/debugging_wordcount.go > > [2]: https://github.com/emetsger/beam-test > > >
RE: Java object serialization error, java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible
So, it turns out this was a Spark version mismatch between the Beam JobServer and the Spark platform. I'm running both Beam and Spark on Docker; the Spark image [0] provided version 3.3.0 and Scala version 2.12, but I used apache/beam_spark_job_server:2.41.0 [1] which provides Spark 2.4.x libraries, Scala version 2.11. Instead, I needed to use the apache/beam_spark3_job_server:2.41.0 image [2], which provides Spark 3.3.x. [0] https://hub.docker.com/r/apache/spark/tags [1] https://hub.docker.com/r/apache/beam_spark_job_server/tags [2] https://hub.docker.com/r/apache/beam_spark3_job_server/tags On 2022/08/25 13:48:16 Elliot Metsger wrote: > Howdy folks, super-new to Beam, and attempting to get a simple example > working with Go, using the portable runner and Spark. There seems to be an > incompatibility between Java components, and I’m not quite sure where the > disconnect is, but at the root it seems to be an incompatibility with > object serializations. > > When I submit the job via the go sdk, it errors out on the Spark side with: > [8:59 AM] 22/08/25 12:45:59 ERROR TransportRequestHandler: Error while > invoking RpcHandler#receive() for one-way message. > java.io.InvalidClassException: > org.apache.spark.deploy.ApplicationDescription; local class incompatible: > stream classdesc serialVersionUID = 6543101073799644159, local class > serialVersionUID = 1574364215946805297 > I’m using apache/beam_spark_job_server:2.41.0 and apache/spark:latest. > (docker-compose[0], hello world wordcount example pipeline[1]). > > Any ideas on where to look? It looks like the Beam JobService is using > Java 8 (?) and Spark is using Java 11. I’ve tried downgrading Spark from > 3.3.0 to 3.1.3 (the earliest version for which Docker images are > available), and downgrading to Beam 2.40.0 with no luck. > > This simple repo[2] should demonstrate the issue. Any pointers would be > appreciated! > > [0]: https://github.com/emetsger/beam-test/blob/develop/docker-compose.yml > [1]: > https://github.com/emetsger/beam-test/blob/develop/debugging_wordcount.go > [2]: https://github.com/emetsger/beam-test >
Java object serialization error, java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible
Howdy folks, super-new to Beam, and attempting to get a simple example working with Go, using the portable runner and Spark. There seems to be an incompatibility between Java components, and I’m not quite sure where the disconnect is, but at the root it seems to be an incompatibility with object serializations. When I submit the job via the go sdk, it errors out on the Spark side with: [8:59 AM] 22/08/25 12:45:59 ERROR TransportRequestHandler: Error while invoking RpcHandler#receive() for one-way message. java.io.InvalidClassException: org.apache.spark.deploy.ApplicationDescription; local class incompatible: stream classdesc serialVersionUID = 6543101073799644159, local class serialVersionUID = 1574364215946805297 I’m using apache/beam_spark_job_server:2.41.0 and apache/spark:latest. (docker-compose[0], hello world wordcount example pipeline[1]). Any ideas on where to look? It looks like the Beam JobService is using Java 8 (?) and Spark is using Java 11. I’ve tried downgrading Spark from 3.3.0 to 3.1.3 (the earliest version for which Docker images are available), and downgrading to Beam 2.40.0 with no luck. This simple repo[2] should demonstrate the issue. Any pointers would be appreciated! [0]: https://github.com/emetsger/beam-test/blob/develop/docker-compose.yml [1]: https://github.com/emetsger/beam-test/blob/develop/debugging_wordcount.go [2]: https://github.com/emetsger/beam-test
