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[ML] optimize source extraction for categorize_text aggregation (#79099)
This optimizes the text value extraction from source in categorize_text aggregation. Early measurements indicate that the bulk of the time spent in this aggregation is inflating and deserializing the source. We can optimize this a bit (for larger sources) by only extracting the text field we care about. The main downside here is if there is a sub-agg that requires the source, the that agg will need to extract the entire source again. This should be a rare case. NOTE: opening as draft as measurements need to be done on some realistic data to see if this actually saves us time. This takes advantage of the work done here: #77154
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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