workflow
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Summary
What happened/what you expected to happen?
After starting k3d cluster locally, if I run make start
I get an error
➜ argo git:(learning) ✗ make start
# GIT_TAG=v2.10.0-rc1, GIT_BRANCH=learning, GIT_TREE_STATE=dirty, VERSION=latest, DEV_IMAGE=true, K3D=true
killall argo workflow-controller kubectl || true
No matching processes belonging to you were found
k3d start
Err
AWS Batch Task
Created by Dylan Hughes via monday.com integration.
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Issue
16 files has some sort of Sugar Pro references in code as comments.
Those should be removed
Steps to Reproduce
Try the search with BEGIN: pro
https://github.com/salesagility/SuiteCRM/search?q
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Oct 1, 2020 - Python
Problem to solve
The dagit
CLI allows command options to be set via environment variables using the DAGIT
prefix, implemented with Click's auto_envvar_prefix feature. I would like to be able to do the same with the dagster
CLI.
Intended users
- DevOps Engineer
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Had the branch ancestry:
branch-1
branch-2-bug-fix
branch-3
All three branches had an open PR. branch-2-bug-fix
‘s PR was a duplicate of a fix that someone else had already put in and merged at the same time. I closed the PR on branch-2-bug-fix
and ran git town kill
on that branch.
I was expecting it to change the base branch of branch-3
‘s PR but instead it closed it
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Apache Airflow version: 1.10.*
BackPort Packages version: 2020.10.5rc1
What happened:
BigQueryInsertJobOperator
tries to start a BigQuery job by specifying a job_id which is a combination ofdag_id
,task_id
,execution_date
and an additionaluniqueness_suffix
.https://github.com/apache/airflow/blob/master/airflow/providers/google/cloud/operators/bigquery.py#L2072