uptasticsearch
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An Elasticsearch client tailored to data science workflows.
`{testthat}` 3.0.0 was released in October 2020, and some functionality `{uptasticsearch}` uses from it is now considered deprecated. From the `{testthat}` vignettes on v3.x ([link](https://github.com/r-lib/testthat/blob/f8ccf033a74d89e2d1d3cb2ec3c6c4f63ca69055/vignettes/third-edition.Rmd#L70)), the following are deprecated and...
I wanted to use your packed to connect but I'm not sure which parameters to use within the connect function especially to include the API key with the headers etc...
Currently, there are some examples in `README.md` with Elasticsearch queries and corresponding `uptasticsearch` code. That code is effectively pseudocode right now, as it references a fictional Elasticsearch cluster. I think...
The Python package uses Sphinx docstrings and we declare various sphinx packages in `setup.py`, but none of the actual infra (like a `conf.py`) to run the docs is set up....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....
Currently, this type of aggregation is not supported by the Python package. "not supported" means that `es_search()` cannot parse a result from this type of query into a pandas DataFrame....