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> >
