Note that loopback won't fix the problem for, say, cross-language IOs. But, yes, it's really handy and should probably be used more.
On Fri, Sep 13, 2019 at 8:29 AM Lukasz Cwik <lc...@google.com> wrote: > 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> >>>>>>>> >>>>>>>
