[jira] [Commented] (AIRFLOW-2124) Allow local mainPythonFileUri
[
https://issues.apache.org/jira/browse/AIRFLOW-2124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16407740#comment-16407740
]
ASF subversion and git services commented on AIRFLOW-2124:
--
Commit ec80f944183b744ff7cab7b72f5350240a8ac4ae in incubator-airflow's branch
refs/heads/master from [~Fokko]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-airflow.git;h=ec80f94 ]
[AIRFLOW-2124] Upload Python file to a bucket for Dataproc
If the Python Dataproc file is on local storage,
we want to upload
this to google cloud storage before submitting it
to the dataproc
cluster
Closes #3130 from Fokko/airflow-stash-files-on-gcs
> Allow local mainPythonFileUri
> -
>
> Key: AIRFLOW-2124
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2124
> Project: Apache Airflow
> Issue Type: Wish
>Reporter: robbert van waardhuizen
>Assignee: Fokko Driesprong
>Priority: Major
>
> For our workflow, we currently are in the transition from using BashOperator
> to using the DataProcPySparkOperators. While rewriting the DAG we came to the
> conclusion that it is not possible to submit a (local) path as our main
> Python file, and a Hadoop Compatible Filesystem (HCFS) is required.
> Our main Python drivers are located in a Git repository. Putting our main
> Python files in a GS bucket would require manual updating/overwriting these
> files.
> In terms of code, this works using the BashOperator:
>
> {code:java}
> gcloud dataproc jobs submit pyspark \
> /usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py \
> --cluster {cluster_name}{code}
>
>
> But cannot be replicated using the DataProcPySparkOperator:
> {code:java}
> DataProcPySparkOperator(main="/usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py",
> cluster_name=cluster_name)
> {code}
> Error:
> {code:java}
> === Cloud Dataproc Agent Error ===
> java.lang.NullPointerException
> at sun.nio.fs.UnixPath.normalizeAndCheck(UnixPath.java:77)
> at sun.nio.fs.UnixPath.(UnixPath.java:71)
> at sun.nio.fs.UnixFileSystem.getPath(UnixFileSystem.java:281)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler.registerResourceForDownload(AbstractJobHandler.java:442)
> at
> com.google.cloud.hadoop.services.agent.job.PySparkJobHandler.buildCommand(PySparkJobHandler.java:93)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:538)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:532)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:127)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:80)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:748)
> End of Cloud Dataproc Agent Error
> {code}
> What would be best practice in this case?
> Is it possible to add the ability to submit local paths as main Python file?
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[jira] [Commented] (AIRFLOW-2124) Allow local mainPythonFileUri
[
https://issues.apache.org/jira/browse/AIRFLOW-2124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16381782#comment-16381782
]
Kaxil Naik commented on AIRFLOW-2124:
-
I will also double check on this and update you [~Fokko] once I am back from
holidays.
> Allow local mainPythonFileUri
> -
>
> Key: AIRFLOW-2124
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2124
> Project: Apache Airflow
> Issue Type: Wish
>Reporter: robbert van waardhuizen
>Assignee: Fokko Driesprong
>Priority: Major
>
> For our workflow, we currently are in the transition from using BashOperator
> to using the DataProcPySparkOperators. While rewriting the DAG we came to the
> conclusion that it is not possible to submit a (local) path as our main
> Python file, and a Hadoop Compatible Filesystem (HCFS) is required.
> Our main Python drivers are located in a Git repository. Putting our main
> Python files in a GS bucket would require manual updating/overwriting these
> files.
> In terms of code, this works using the BashOperator:
>
> {code:java}
> gcloud dataproc jobs submit pyspark \
> /usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py \
> --cluster {cluster_name}{code}
>
>
> But cannot be replicated using the DataProcPySparkOperator:
> {code:java}
> DataProcPySparkOperator(main="/usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py",
> cluster_name=cluster_name)
> {code}
> Error:
> {code:java}
> === Cloud Dataproc Agent Error ===
> java.lang.NullPointerException
> at sun.nio.fs.UnixPath.normalizeAndCheck(UnixPath.java:77)
> at sun.nio.fs.UnixPath.(UnixPath.java:71)
> at sun.nio.fs.UnixFileSystem.getPath(UnixFileSystem.java:281)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler.registerResourceForDownload(AbstractJobHandler.java:442)
> at
> com.google.cloud.hadoop.services.agent.job.PySparkJobHandler.buildCommand(PySparkJobHandler.java:93)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:538)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:532)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:127)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:80)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:748)
> End of Cloud Dataproc Agent Error
> {code}
> What would be best practice in this case?
> Is it possible to add the ability to submit local paths as main Python file?
--
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[jira] [Commented] (AIRFLOW-2124) Allow local mainPythonFileUri
[
https://issues.apache.org/jira/browse/AIRFLOW-2124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16381714#comment-16381714
]
Fokko Driesprong commented on AIRFLOW-2124:
---
We would like to integrate this in the DataProcOperator. We don't want to have
additional steps We'll develop something internal which will take care of this
and then push it back to Airflow. Cheers
> Allow local mainPythonFileUri
> -
>
> Key: AIRFLOW-2124
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2124
> Project: Apache Airflow
> Issue Type: Wish
>Reporter: robbert van waardhuizen
>Assignee: Fokko Driesprong
>Priority: Major
>
> For our workflow, we currently are in the transition from using BashOperator
> to using the DataProcPySparkOperators. While rewriting the DAG we came to the
> conclusion that it is not possible to submit a (local) path as our main
> Python file, and a Hadoop Compatible Filesystem (HCFS) is required.
> Our main Python drivers are located in a Git repository. Putting our main
> Python files in a GS bucket would require manual updating/overwriting these
> files.
> In terms of code, this works using the BashOperator:
>
> {code:java}
> gcloud dataproc jobs submit pyspark \
> /usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py \
> --cluster {cluster_name}{code}
>
>
> But cannot be replicated using the DataProcPySparkOperator:
> {code:java}
> DataProcPySparkOperator(main="/usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py",
> cluster_name=cluster_name)
> {code}
> Error:
> {code:java}
> === Cloud Dataproc Agent Error ===
> java.lang.NullPointerException
> at sun.nio.fs.UnixPath.normalizeAndCheck(UnixPath.java:77)
> at sun.nio.fs.UnixPath.(UnixPath.java:71)
> at sun.nio.fs.UnixFileSystem.getPath(UnixFileSystem.java:281)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler.registerResourceForDownload(AbstractJobHandler.java:442)
> at
> com.google.cloud.hadoop.services.agent.job.PySparkJobHandler.buildCommand(PySparkJobHandler.java:93)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:538)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:532)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:127)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:80)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:748)
> End of Cloud Dataproc Agent Error
> {code}
> What would be best practice in this case?
> Is it possible to add the ability to submit local paths as main Python file?
--
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[jira] [Commented] (AIRFLOW-2124) Allow local mainPythonFileUri
[
https://issues.apache.org/jira/browse/AIRFLOW-2124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16375697#comment-16375697
]
Kaxil Naik commented on AIRFLOW-2124:
-
Agree with [~fenglu] above
> Allow local mainPythonFileUri
> -
>
> Key: AIRFLOW-2124
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2124
> Project: Apache Airflow
> Issue Type: Wish
>Reporter: robbert van waardhuizen
>Priority: Major
>
> For our workflow, we currently are in the transition from using BashOperator
> to using the DataProcPySparkOperators. While rewriting the DAG we came to the
> conclusion that it is not possible to submit a (local) path as our main
> Python file, and a Hadoop Compatible Filesystem (HCFS) is required.
> Our main Python drivers are located in a Git repository. Putting our main
> Python files in a GS bucket would require manual updating/overwriting these
> files.
> In terms of code, this works using the BashOperator:
>
> {code:java}
> gcloud dataproc jobs submit pyspark \
> /usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py \
> --cluster {cluster_name}{code}
>
>
> But cannot be replicated using the DataProcPySparkOperator:
> {code:java}
> DataProcPySparkOperator(main="/usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py",
> cluster_name=cluster_name)
> {code}
> Error:
> {code:java}
> === Cloud Dataproc Agent Error ===
> java.lang.NullPointerException
> at sun.nio.fs.UnixPath.normalizeAndCheck(UnixPath.java:77)
> at sun.nio.fs.UnixPath.(UnixPath.java:71)
> at sun.nio.fs.UnixFileSystem.getPath(UnixFileSystem.java:281)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler.registerResourceForDownload(AbstractJobHandler.java:442)
> at
> com.google.cloud.hadoop.services.agent.job.PySparkJobHandler.buildCommand(PySparkJobHandler.java:93)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:538)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:532)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:127)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:80)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:748)
> End of Cloud Dataproc Agent Error
> {code}
> What would be best practice in this case?
> Is it possible to add the ability to submit local paths as main Python file?
--
This message was sent by Atlassian JIRA
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[jira] [Commented] (AIRFLOW-2124) Allow local mainPythonFileUri
[
https://issues.apache.org/jira/browse/AIRFLOW-2124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16370310#comment-16370310
]
Feng Lu commented on AIRFLOW-2124:
--
Dataproc submit job API accepts job file stored in HCFS, details
[here]([https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.jobs).]
If you could pre-stage the job files in a GCS bucket, passing the
gs://path-to-the-job-file as the mainPythonFileUri would work. Feel free to let
me know it that doesn't work for you.
> Allow local mainPythonFileUri
> -
>
> Key: AIRFLOW-2124
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2124
> Project: Apache Airflow
> Issue Type: Wish
>Reporter: robbert van waardhuizen
>Priority: Major
>
> For our workflow, we currently are in the transition from using BashOperator
> to using the DataProcPySparkOperators. While rewriting the DAG we came to the
> conclusion that it is not possible to submit a (local) path as our main
> Python file, and a Hadoop Compatible Filesystem (HCFS) is required.
> Our main Python drivers are located in a Git repository. Putting our main
> Python files in a GS bucket would require manual updating/overwriting these
> files.
> In terms of code, this works using the BashOperator:
>
> {code:java}
> gcloud dataproc jobs submit pyspark \
> /usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py \
> --cluster {cluster_name}{code}
>
>
> But cannot be replicated using the DataProcPySparkOperator:
> {code:java}
> DataProcPySparkOperator(main="/usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py",
> cluster_name=cluster_name)
> {code}
> Error:
> {code:java}
> === Cloud Dataproc Agent Error ===
> java.lang.NullPointerException
> at sun.nio.fs.UnixPath.normalizeAndCheck(UnixPath.java:77)
> at sun.nio.fs.UnixPath.(UnixPath.java:71)
> at sun.nio.fs.UnixFileSystem.getPath(UnixFileSystem.java:281)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler.registerResourceForDownload(AbstractJobHandler.java:442)
> at
> com.google.cloud.hadoop.services.agent.job.PySparkJobHandler.buildCommand(PySparkJobHandler.java:93)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:538)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:532)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:127)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:80)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:748)
> End of Cloud Dataproc Agent Error
> {code}
> What would be best practice in this case?
> Is it possible to add the ability to submit local paths as main Python file?
--
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[jira] [Commented] (AIRFLOW-2124) Allow local mainPythonFileUri
[
https://issues.apache.org/jira/browse/AIRFLOW-2124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16369156#comment-16369156
]
Fokko Driesprong commented on AIRFLOW-2124:
---
[~kaxilnaik] [~fenglu]
We're moving from the bash-operators to the very nice DataProc* operators, but
we're running into this. What would we the best practice to solve this? Maybe
upload it to a temporary bucket. Previous the gcloud this was handled for us:
`gcloud dataproc jobs submit pyspark ../submit_job.py`
Any thoughts on this?
> Allow local mainPythonFileUri
> -
>
> Key: AIRFLOW-2124
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2124
> Project: Apache Airflow
> Issue Type: Wish
>Reporter: robbert van waardhuizen
>Priority: Major
>
> For our workflow, we currently are in the transition from using BashOperator
> to using the DataProcPySparkOperators. While rewriting the DAG we came to the
> conclusion that it is not possible to submit a (local) path as our main
> Python file, and a Hadoop Compatible Filesystem (HCFS) is required.
> Our main Python drivers are located in a Git repository. Putting our main
> Python files in a GS bucket would require manual updating/overwriting these
> files.
> In terms of code, this works using the BashOperator:
>
> {code:java}
> gcloud dataproc jobs submit pyspark \
> /usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py \
> --cluster {cluster_name}{code}
>
>
> But cannot be replicated using the DataProcPySparkOperator:
> {code:java}
> DataProcPySparkOperator(main="/usr/local/airflow/git/airflow-dags/jobs/main_python_driver.py",
> cluster_name=cluster_name)
> {code}
> Error:
> {code:java}
> === Cloud Dataproc Agent Error ===
> java.lang.NullPointerException
> at sun.nio.fs.UnixPath.normalizeAndCheck(UnixPath.java:77)
> at sun.nio.fs.UnixPath.(UnixPath.java:71)
> at sun.nio.fs.UnixFileSystem.getPath(UnixFileSystem.java:281)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler.registerResourceForDownload(AbstractJobHandler.java:442)
> at
> com.google.cloud.hadoop.services.agent.job.PySparkJobHandler.buildCommand(PySparkJobHandler.java:93)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:538)
> at
> com.google.cloud.hadoop.services.agent.job.AbstractJobHandler$StartDriver.call(AbstractJobHandler.java:532)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:127)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:57)
> at
> com.google.cloud.hadoop.services.repackaged.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:80)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:748)
> End of Cloud Dataproc Agent Error
> {code}
> What would be best practice in this case?
> Is it possible to add the ability to submit local paths as main Python file?
--
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