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e.g. {col1: agg1, col2: [agg2a, agg2b], ...}. See pandas usage. Only valid with df.groupby() result.
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We can run aggregations using the `.extra` method, but it would be great to have a higher-level support.
Do you guys have any plans/thoughts to support aggregations?
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Serve two main purposes:
- **Allows for pagination of large results**
No need to define the "size" used in typical aggs, the composite aggregation will return an "after_key" that is used for pagin…
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Hey Graph BuildersDAO,
I noticed you're doing some pretty involved timeframe management in Rust to create hourly and daily snapshots for your SPS. I'm curious if you've had a chance (or would be in…
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instead of using pandas in-memory with batches.
See here: https://motherduck.com/blog/analyze-sqlite-databases-duckdb/
do some speed comparisons
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I setup my cubejs app in gke and everything was working fine until I decided to add pre-aggregations to my schemas.
I am getting this error everytime I launch a get request to the api:
**Error: No …
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Would you have any interest in a PR that adds support for other aggregations, or would you rather leave the scope of this gem as-is?
It would be really awesome to be able to have (roughly):
```r…
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This is a proposed API for aggregations.
The aggregation pipeline is very suitable for a builder/fluent style API. It basically includes the following elements, repeating and transforming the pipe…
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Hello Onyx team!
Exploring this again with the goal of having a powerful lamdba engine. I was wondering if Only windowing + aggregation functions are supported in this runtime.
Thank you a lot f…
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Hi @baygeldin, this is an awesome project! Do you have any plans to add support for aggregations?