Should we remove/modify some of the experiment tags in the documentation #19798
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Interestingly if I had built the same table, I would probably have the opposite action in most cases. :) For instance I think the derivative pipeline aggs or the profile flag map to common use-cases (even though in the case of the profile agg we would probably still need a note that the response format may change). I'd probably also wait for pipeline aggs to be exposed in Kibana since that would be a very good test of the usability of pipeline aggs, but this is something I hope we'll be able to do soon. On the other hand, I don't like exposing options about internals like the terms agg execution hint or percentiles implementation. In the case of percentiles, I am wondering whether we could replace the option with something that characterizes the data or the expected accuracy without being implementation specific and would allow us to pick an impl internally. |
dadoonet
changed the title
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Discussed in Fix It Friday and have updated the table to reflect what we talked about |
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@colings86 what is left to do here? anything to discuss further? |
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Nothing to discuss further but the items above that have "remove tag" in the action need to have the experimental tag removed |
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@colings86 we should consider which features should use the beta tag instead (ie we will support this feature and plan to keep it, but the API may change significantly) |
Relates #19798 Removed experimental label from: * Painless * Diversified Sampler Agg * Sampler Agg * Significant Terms Agg * Terms Agg document count error and execution_hint * Cardinality Agg precision_threshold * Percentile Agg compression and HDR Histogram * Percentile Rank Agg HDR Histogram * Pipeline Aggregations * index.shard.check_on_startup * index.store.type (added warning) * Preloading data into the file system cache * foreach ingest processor * Field caps API * Profile API Added experimental label to: * Moving Average Agg Prediction Changed experimental to beta for: * Adjacency matrix agg * Normalizers * Tasks API * Index sorting Labelled experimental in Lucene: * ICU plugin custom rules file * Flatten graph token filter * Synonym graph token filter * Word delimiter graph token filter * Simple pattern tokenizer * Simple pattern split tokenizer * Analysis explain output format * Segments verbose output format
Relates #19798 Removed experimental label from: * Painless * Diversified Sampler Agg * Sampler Agg * Significant Terms Agg * Terms Agg document count error and execution_hint * Cardinality Agg precision_threshold * Pipeline Aggregations * index.shard.check_on_startup * index.store.type (added warning) * Preloading data into the file system cache * foreach ingest processor * Field caps API * Profile API Added experimental label to: * Moving Average Agg Prediction Changed experimental to beta for: * Adjacency matrix agg * Normalizers * Tasks API * Index sorting Labelled experimental in Lucene: * ICU plugin custom rules file * Flatten graph token filter * Synonym graph token filter * Word delimiter graph token filter * Simple pattern tokenizer * Simple pattern split tokenizer Replaced experimental label with warning that details may change in the future: * Analysis explain output format * Segments verbose output format * Percentile Agg compression and HDR Histogram * Percentile Rank Agg HDR Histogram
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Updated the table in the description to account for removed tags in #25727 |
colings86
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:Search/Search
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Pinging @elastic/es-search-aggs |
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Closing this as its no longer relevant |
Below is a list of the experimental tags that are in the documentation at the time of writing (I've used blame view for the links only so I can skip to the experimental tag in the file). I have added the link to the PR that added the tag and the version it was added in (where I can find it) to each in the list as well as what I think we should do with the tag (remove or keep):
predictparamindex.store.typefixed_auto_queue_sizeThe text was updated successfully, but these errors were encountered: