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bigdata
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This is more a question than a feature request.
When parsing JSON files, I need to sanitize the field names so field with spaces becomes field_with_spaces.
I want to preserve the original name as well, metadata about the column if you like :)
There is a metadata field on StructField, but it is internal.
Why is this internal, is it possible or desirable to expose it?
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Dear all,
Since we received some complaint and feedback about volcano documentation, we have worked for about two weeks to update the website, especially documentation. Our goal is to "make newer start volcano without difficulty". Although we've tried our best to make everything easy, there still must be something to be optimized. We are honored to invite you to join and help us.
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Describe the ideal solution
We need a new endpoint that functions as getIntegrationById endpoint.
Describe your use cases
We currently fetching all integration via appsync (or more specifically a sub-category of integrations based on integrationType) and iterate until we find one that matches the integrationId passed.
How frequently would you use such feature
Although, we
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Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu