pipeline
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Aug 8, 2021 - JavaScript
Feature request
Consider this example Task:
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
name: resource-example
spec:
description: Sample Task to show issues with passing parameters to resources.
params:
- name: RESOURCE_MEMORY_REQUEST
type: string
default: 1Gi
- name: RESOURCE_MEMORY_LIMIT
type: string
default: 2Gi
steDescribe the bug
data docs columns shrink to 1 character width with long query
To Reproduce
Steps to reproduce the behavior:
- make a batch from a long query string
- run validation
- render result to data docs
- See screenshot
<img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4
We are using font-awesome V4 and should migrate to font-awesome V5 which comes with its own vue.js module: https://github.com/FortAwesome/vue-fontawesome
Migration includes removing old font-awesome V4 module and changing all existing icons to new vue.js tag.
This is blocked until #114 is merged which comes with first initial integration.
Description
To allow for both contributions, I think we should specify the following in Contributing.md:
- Contributors need to add their dataset to the the doctree: https://github.com/quantumblacklabs/kedro/blob/master/docs/source/15_api_docs/kedro.extras.datasets.rst
- Contributors need to add their dataset to catalog json schema: https://github.com/quantumblacklabs/kedro/blob/master/sta
Java and Python provide logging frameworks for recording errors and stack traces. Logging can be configured to format those messages, such as by removing newlines from stack traces, adding timestamps, and putting a log level (INFO, WARN, ERROR) on the message. In the future, it may also include json structured logging. Using the logging framew
Summary
When creating docker images for Java applications in the current setup in Jenkins-X the application and all dependencies are all placed in one jar file, meaning it will be in one layer in the docker image.
This means that when new versions of the application are created the unchanged dependencies can't be reused.
It would be a great enhancement if the application code where p
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stelligent / mu
While testing another PR, I found that mu pipeline logs command displays information from the pipelines, but also shows this error:
$ mu pipeline logs
[... normal, expected output ...]
func1 ▶ ERROR ResourceNotFoundException: The specified log group does not exist.
status code: 400, request id: f7260741-7f69-4772-b4cc-7c6a9c22d264This error does not occur with the `-f
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Summary
Deployments can be paused and resumed (spec.paused). We could create a lua action for Deployments to modify this field.
Motivation
An action that allows this would remove the kubectl access currently needed for doing this.
Proposal
Implement the lua script for a pause and resume action for Deployments.