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https://issues.apache.org/jira/browse/AIRFLOW-1936?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16294863#comment-16294863
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Junyoung Park commented on AIRFLOW-1936:
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It looks weird, cause it worked well on my EMR cluster. (v5.7 ~ 5.10)
Have you tried the following methods?
1. Go to Airflow - Admin - Connection sections.
2. Fix extra value in 'aws_default' Conn Id. (JSON type)
3. Fix extra value in 'emr_default' Conn Id. (JSON type)
4. run DAG with no job_flow_overrides.
Or check that the job_flow_overrides value is valid.
If the cluster creation fails, Airflow prints an error message.
> EmrCreateJobFlowOperator is unable to launch the aws emr cluster
> ----------------------------------------------------------------
>
> Key: AIRFLOW-1936
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1936
> Project: Apache Airflow
> Issue Type: Bug
> Components: aws, boto3, DAG, hooks, operators
> Affects Versions: Airflow 1.8
> Environment: ubuntu 16.04 , python 2.7, boto3
> Reporter: Vikram Fugro
> Labels: newbie
> Attachments: dag_logs.txt, emr_hook_with_hardcoded_values.py,
> my_emr_boto_script(works).py, my_emr_dag(doesNotWork).py
>
>
> The EmrCreateJobFlowOperator operator is unable to create the emr cluster,
> although it returns success. The most strange thing that I see in the logs
> is that it also returns the jobflow-Id but I see no cluster starting up in
> the aws emr console. If I try to launch the emr with my boto3 script , it
> works. I even hardcoded the arguments (taken from my boto3 script as is) in
> self.get_conn().run_job_flow(), in contrib/hooks/emr_hook.py , but no luck.
> I am running airflow 1.8, localexecutor with metadb postgres. I have tried
> both ways ; setting up a schedule and also by command 'airflow run -f
> emr_job_flow_manual_steps_dag2 create_job_flow 2017-12-18'
> I am attaching the logs of my dag, my dag itself , my boto3 script and
> emr_hook.py(changed only for testing purpose).
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