interactive

We would like to avoid confusion like we have in webpack-contrib/webpack-bundle-analyzer#185

We could document statsFilename and reportFilename options allowing the use of an absolute file path like /path/to/folder so that people would know it's supported.

Let us know in this issue if you would like to contribute to this!

Most items coming from questions on the community forum

• a proper multicategory bar example based on https://community.plotly.com/t/multicategory-axis-type-example/26392
• example of shape or annotation covering several subplots thanks to xref='paper'. Also the shapes and annotations tutorial should link to each other.
• orthographic projection example in 3d axes tutorial (or

We should make a GitHub action so that when we update our README it automatically goes to the website. At the moment, our README is out of sync with the website. The repo's README should be the source for the website.

potential api example

bit fix undo-commit
bit fix untrack-file
bit fix rename-commit
bit fix catch-up-to-branch

Describe the bug
Variable substitution fails for field names in the query projection or where clause. According to example in docs here, it should work.

To Reproduce
Version: 6.2.1

ksql> define colName1 = 'LEVEL';
ksql> select ${colName1} from ksql_processing_log emit 

This issue will track the type annotation process of all the core/domain/*_domain.py (and their test files). To get started, ask to be assigned to any unclaimed task. Tasks are claimed by adding the username of the claimer to the end of the task, e.g. @example.

Note: Main code file and its test file must be type-annotated together.

The general procedure to add type annotations is a

When I save any of my notebooks as HTML in Safari, the output file is always called true.html. The name of the output file is correct in Chrome, though.

• MacOS 10.15.7
• Safari 14.1.2
• Pluto v0.15.1
• Julia 1.7.0-beta3.0

Hey everyone!

mapd-core-cpu is already available on conda-forge (https://anaconda.org/conda-forge/omniscidb-cpu)

now we should add some instructions on the documentation.

at this moment it is available for linux and osx.

some additional information about the configuration:

1. for now, always install omniscidb-cpu inside a conda environment (also it is a good practice), eg:

I'm trying to replace the background diagram-maker canvas svg, with custom small circular nodes. So, probably this lead to more than 5000 number of circular nodes.

This is causing Performance Issues. Any suggestions, how to optimize this usecase?