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Currently, if I want to create a dataframe with specific entries from an index, using Eland, I must first download a dataframe with all the columns, and then filter them out, locally... this is hardly desirable in terms of CPU and RAM local usage. Is there a way to push the filtering to the ES nodes instead, and simply download the already filtered dataframe?
The text was updated successfully, but these errors were encountered:
You can filter out which columns to download either using the columns=[...] parameter on the DataFrame constructor or you can use the DataFrame.filter() method to cut down on the columns to be requested before calling .to_pandas().
Currently, if I want to create a dataframe with specific entries from an index, using Eland, I must first download a dataframe with all the columns, and then filter them out, locally... this is hardly desirable in terms of CPU and RAM local usage. Is there a way to push the filtering to the ES nodes instead, and simply download the already filtered dataframe?
The text was updated successfully, but these errors were encountered: