And/or update the wiki/website with some how to's... On Fri, Sep 13, 2019 at 7:51 AM Thomas Weise <t...@apache.org> wrote:
> I agree that loopback would be preferable for this purpose. I just wasn't > aware this even works with the portable Flink runner. Is it one of the best > guarded secrets? ;-) > > Kyle, can you please post the pipeline options you would use for Flink? > > > On Thu, Sep 12, 2019 at 5:57 PM Kyle Weaver <kcwea...@google.com> wrote: > >> I prefer loopback because a) it writes output files to the local >> filesystem, as the user expects, and b) you don't have to pull or build >> docker images, or even have docker installed on your system -- which is one >> less point of failure. >> >> Kyle Weaver | Software Engineer | github.com/ibzib | kcwea...@google.com >> >> >> On Thu, Sep 12, 2019 at 5:48 PM Thomas Weise <t...@apache.org> wrote: >> >>> This should become much better with 2.16 when we have the Docker images >>> prebuilt. >>> >>> Docker is probably still the best option for Python on a JVM based >>> runner in a local environment that does not have a development setup. >>> >>> >>> On Thu, Sep 12, 2019 at 1:09 PM Kyle Weaver <kcwea...@google.com> wrote: >>> >>>> +dev <d...@beam.apache.org> I think we should probably point new users >>>> of the portable Flink/Spark runners to use loopback or some other >>>> non-docker environment, as Docker adds some operational complexity that >>>> isn't really needed to run a word count example. For example, Yu's pipeline >>>> errored here because the expected Docker container wasn't built before >>>> running. >>>> >>>> Kyle Weaver | Software Engineer | github.com/ibzib | >>>> kcwea...@google.com >>>> >>>> >>>> On Thu, Sep 12, 2019 at 11:27 AM Robert Bradshaw <rober...@google.com> >>>> wrote: >>>> >>>>> On this note, making local files easy to read is something we'd >>>>> definitely like to improve, as the current behavior is quite surprising. >>>>> This could be useful not just for running with docker and the portable >>>>> runner locally, but more generally when running on a distributed system >>>>> (e.g. a Flink/Spark cluster or Dataflow). It would be very convenient if >>>>> we >>>>> could automatically stage local files to be read as artifacts that could >>>>> be >>>>> consumed by any worker (possibly via external directory mounting in the >>>>> local docker case rather than an actual copy), and conversely copy small >>>>> outputs back to the local machine (with the similar optimization for local >>>>> docker). >>>>> >>>>> At the very least, however, obvious messaging when the local >>>>> filesystem is used from within docker, which is often a (non-obvious and >>>>> hard to debug) mistake should be added. >>>>> >>>>> >>>>> On Thu, Sep 12, 2019 at 10:34 AM Lukasz Cwik <lc...@google.com> wrote: >>>>> >>>>>> When you use a local filesystem path and a docker environment, "/tmp" >>>>>> is written inside the container. You can solve this issue by: >>>>>> * Using a "remote" filesystem such as HDFS/S3/GCS/... >>>>>> * Mounting an external directory into the container so that any >>>>>> "local" writes appear outside the container >>>>>> * Using a non-docker environment such as external or process. >>>>>> >>>>>> On Thu, Sep 12, 2019 at 4:51 AM Yu Watanabe <yu.w.ten...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Hello. >>>>>>> >>>>>>> I would like to ask for help with my sample code using portable >>>>>>> runner using apache flink. >>>>>>> I was able to work out the wordcount.py using this page. >>>>>>> >>>>>>> https://beam.apache.org/roadmap/portability/ >>>>>>> >>>>>>> I got below two files under /tmp. >>>>>>> >>>>>>> -rw-r--r-- 1 ywatanabe ywatanabe 185 Sep 12 19:56 >>>>>>> py-wordcount-direct-00001-of-00002 >>>>>>> -rw-r--r-- 1 ywatanabe ywatanabe 190 Sep 12 19:56 >>>>>>> py-wordcount-direct-00000-of-00002 >>>>>>> >>>>>>> Then I wrote sample code with below steps. >>>>>>> >>>>>>> 1.Install apache_beam using pip3 separate from source code directory. >>>>>>> 2. Wrote sample code as below and named it >>>>>>> "test-protable-runner.py". Placed it separate directory from source >>>>>>> code. >>>>>>> >>>>>>> ----------------------------------------------------------------------------------- >>>>>>> (python) ywatanabe@debian-09-00:~$ ls -ltr >>>>>>> total 16 >>>>>>> drwxr-xr-x 18 ywatanabe ywatanabe 4096 Sep 12 19:06 beam (<- source >>>>>>> code directory) >>>>>>> -rw-r--r-- 1 ywatanabe ywatanabe 634 Sep 12 20:25 >>>>>>> test-portable-runner.py >>>>>>> >>>>>>> ----------------------------------------------------------------------------------- >>>>>>> 3. Executed the code with "python3 test-protable-ruuner.py" >>>>>>> >>>>>>> >>>>>>> ========================================================================================== >>>>>>> #!/usr/bin/env >>>>>>> >>>>>>> import apache_beam as beam >>>>>>> from apache_beam.options.pipeline_options import PipelineOptions >>>>>>> from apache_beam.io import WriteToText >>>>>>> >>>>>>> >>>>>>> def printMsg(line): >>>>>>> >>>>>>> print("OUTPUT: {0}".format(line)) >>>>>>> >>>>>>> return line >>>>>>> >>>>>>> options = PipelineOptions(["--runner=PortableRunner", >>>>>>> "--job_endpoint=localhost:8099", >>>>>>> "--shutdown_sources_on_final_watermark"]) >>>>>>> >>>>>>> p = beam.Pipeline(options=options) >>>>>>> >>>>>>> output = ( p | 'create' >> beam.Create(["a", "b", "c"]) >>>>>>> | beam.Map(printMsg) >>>>>>> ) >>>>>>> >>>>>>> output | 'write' >> WriteToText('/tmp/sample.txt') >>>>>>> >>>>>>> ======================================================================================= >>>>>>> >>>>>>> Job seemed to went all the way to "FINISHED" state. >>>>>>> >>>>>>> ------------------------------------------------------------------------------------------------------------------------------------------------------- >>>>>>> [DataSource (Impulse) (1/1)] INFO >>>>>>> org.apache.flink.runtime.taskmanager.Task - Registering task at network: >>>>>>> DataSource (Impulse) (1/1) (9df528f4d493d8c3b62c8be23dc889a8) >>>>>>> [DEPLOYING]. >>>>>>> [DataSource (Impulse) (1/1)] INFO >>>>>>> org.apache.flink.runtime.taskmanager.Task - DataSource (Impulse) (1/1) >>>>>>> (9df528f4d493d8c3b62c8be23dc889a8) switched from DEPLOYING to RUNNING. >>>>>>> [flink-akka.actor.default-dispatcher-3] INFO >>>>>>> org.apache.flink.runtime.executiongraph.ExecutionGraph - DataSource >>>>>>> (Impulse) (1/1) (9df528f4d493d8c3b62c8be23dc889a8) switched from >>>>>>> DEPLOYING >>>>>>> to RUNNING. >>>>>>> [flink-akka.actor.default-dispatcher-3] INFO >>>>>>> org.apache.flink.runtime.executiongraph.ExecutionGraph - CHAIN >>>>>>> MapPartition >>>>>>> (MapPartition at [2]write/Write/WriteImpl/DoOnce/{FlatMap(<lambda at >>>>>>> core.py:2415>), Map(decode)}) -> FlatMap (FlatMap at ExtractOutput[0]) >>>>>>> (1/1) (0b60f1a9e620b061f85e97998aa4b181) switched from CREATED to >>>>>>> SCHEDULED. >>>>>>> [flink-akka.actor.default-dispatcher-3] INFO >>>>>>> org.apache.flink.runtime.executiongraph.ExecutionGraph - CHAIN >>>>>>> MapPartition >>>>>>> (MapPartition at [2]write/Write/WriteImpl/DoOnce/{FlatMap(<lambda at >>>>>>> core.py:2415>), Map(decode)}) -> FlatMap (FlatMap at ExtractOutput[0]) >>>>>>> (1/1) (0b60f1a9e620b061f85e97998aa4b181) switched from SCHEDULED to >>>>>>> DEPLOYING. >>>>>>> [flink-akka.actor.default-dispatcher-3] INFO >>>>>>> org.apache.flink.runtime.executiongraph.ExecutionGraph - Deploying CHAIN >>>>>>> MapPartition (MapPartition at >>>>>>> [2]write/Write/WriteImpl/DoOnce/{FlatMap(<lambda at core.py:2415>), >>>>>>> Map(decode)}) -> FlatMap (FlatMap at ExtractOutput[0]) (1/1) (attempt >>>>>>> #0) >>>>>>> to aad5f142-dbb7-4900-a5ae-af8a6fdcc787 @ localhost (dataPort=-1) >>>>>>> [flink-akka.actor.default-dispatcher-2] INFO >>>>>>> org.apache.flink.runtime.taskexecutor.TaskExecutor - Received task CHAIN >>>>>>> MapPartition (MapPartition at >>>>>>> [2]write/Write/WriteImpl/DoOnce/{FlatMap(<lambda at core.py:2415>), >>>>>>> Map(decode)}) -> FlatMap (FlatMap at ExtractOutput[0]) (1/1). >>>>>>> [DataSource (Impulse) (1/1)] INFO >>>>>>> org.apache.flink.runtime.taskmanager.Task - Loading JAR files for task >>>>>>> DataSource (Impulse) (1/1) (d51e4171c0af881342eaa8a7ab06def8) >>>>>>> [DEPLOYING]. >>>>>>> [DataSource (Impulse) (1/1)] INFO >>>>>>> org.apache.flink.runtime.taskmanager.Task - Registering task at network: >>>>>>> DataSource (Impulse) (1/1) (d51e4171c0af881342eaa8a7ab06def8) >>>>>>> [DEPLOYING]. >>>>>>> [DataSource (Impulse) (1/1)] INFO >>>>>>> org.apache.flink.runtime.taskmanager.Task - DataSource (Impulse) (1/1) >>>>>>> (9df528f4d493d8c3b62c8be23dc889a8) switched from RUNNING to FINISHED. >>>>>>> >>>>>>> ------------------------------------------------------------------------------------------------------------------------------------------------------- >>>>>>> >>>>>>> But I ended up with docker error on client side. >>>>>>> >>>>>>> ------------------------------------------------------------------------------------------------------------------------------------------------------- >>>>>>> (python) ywatanabe@debian-09-00:~$ python3 test-portable-runner.py >>>>>>> /home/ywatanabe/python/lib/python3.5/site-packages/apache_beam/__init__.py:84: >>>>>>> UserWarning: Some syntactic constructs of Python 3 are not yet fully >>>>>>> supported by Apache Beam. >>>>>>> 'Some syntactic constructs of Python 3 are not yet fully supported >>>>>>> by ' >>>>>>> ERROR:root:java.io.IOException: Received exit code 125 for command >>>>>>> 'docker run -d --network=host --env=DOCKER_MAC_CONTAINER=null >>>>>>> ywatanabe-docker-apache.bintray.io/beam/python3:latest --id=13-1 >>>>>>> --logging_endpoint=localhost:39049 --artifact_endpoint=localhost:33779 >>>>>>> --provision_endpoint=localhost:34827 >>>>>>> --control_endpoint=localhost:36079'. >>>>>>> stderr: Unable to find image ' >>>>>>> ywatanabe-docker-apache.bintray.io/beam/python3:latest' >>>>>>> locallydocker: Error response from daemon: unknown: Subject ywatanabe >>>>>>> was >>>>>>> not found.See 'docker run --help'. >>>>>>> Traceback (most recent call last): >>>>>>> File "test-portable-runner.py", line 27, in <module> >>>>>>> result.wait_until_finish() >>>>>>> File >>>>>>> "/home/ywatanabe/python/lib/python3.5/site-packages/apache_beam/runners/portability/portable_runner.py", >>>>>>> line 446, in wait_until_finish >>>>>>> self._job_id, self._state, self._last_error_message())) >>>>>>> RuntimeError: Pipeline >>>>>>> BeamApp-ywatanabe-0912112516-22d84d63_d3b5e778-d771-4118-9ba7-c9dde85938e9 >>>>>>> failed in state FAILED: java.io.IOException: Received exit code 125 for >>>>>>> command 'docker run -d --network=host --env=DOCKER_MAC_CONTAINER=null >>>>>>> ywatanabe-docker-apache.bintray.io/beam/python3:latest --id=13-1 >>>>>>> --logging_endpoint=localhost:39049 --artifact_endpoint=localhost:33779 >>>>>>> --provision_endpoint=localhost:34827 >>>>>>> --control_endpoint=localhost:36079'. >>>>>>> stderr: Unable to find image ' >>>>>>> ywatanabe-docker-apache.bintray.io/beam/python3:latest' >>>>>>> locallydocker: Error response from daemon: unknown: Subject ywatanabe >>>>>>> was >>>>>>> not found.See 'docker run --help'. >>>>>>> >>>>>>> ------------------------------------------------------------------------------------------------------------------------------------------------------- >>>>>>> >>>>>>> As a result , I got nothing under /tmp . Code works when using >>>>>>> DirectRunner. >>>>>>> May I ask , where should I look for in order to get the pipeline to >>>>>>> write results to text files under /tmp ? >>>>>>> >>>>>>> Best Regards, >>>>>>> Yu Watanabe >>>>>>> >>>>>>> -- >>>>>>> Yu Watanabe >>>>>>> Weekend Freelancer who loves to challenge building data platform >>>>>>> yu.w.ten...@gmail.com >>>>>>> [image: LinkedIn icon] <https://www.linkedin.com/in/yuwatanabe1> >>>>>>> [image: >>>>>>> Twitter icon] <https://twitter.com/yuwtennis> >>>>>>> >>>>>>
