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Robert Muir commented on LUCENE-9154: ------------------------------------- {quote} Still it does not explain that if the input of the user is for example 89.9999999999999, then 90 is matched but not if the input is 90 (and still the value of the document is 89.99999995809048 which is neither of both). I do not think in this corner case is behaving correctly. {quote} I explained this already. Please lets not refer to such "original user input" of what was indexed here in discussion because the values you refer to are impossible: was lost as index time. We simply cannot have a rational conversation about it in this way, sorry :) ! Honestly i wonder how many of your problems are caused by something else (not this field, or its DocValues counterpart, which is transparent) such as some elasticsearch feature showing unmodified values from another stored field. That will cause no end of confusion. > Remove encodeCeil() to encode bounding box queries > --------------------------------------------------- > > Key: LUCENE-9154 > URL: https://issues.apache.org/jira/browse/LUCENE-9154 > Project: Lucene - Core > Issue Type: Improvement > Reporter: Ignacio Vera > Priority: Major > Time Spent: 10m > Remaining Estimate: 0h > > We currently have the following logic in LatLonPoint#newBoxquery(): > {code:java} > // exact double values of lat=90.0D and lon=180.0D must be treated special > as they are not represented in the encoding > // and should not drag in extra bogus junk! TODO: should encodeCeil just > throw ArithmeticException to be less trappy here? > if (minLatitude == 90.0) { > // range cannot match as 90.0 can never exist > return new MatchNoDocsQuery("LatLonPoint.newBoxQuery with > minLatitude=90.0"); > } > if (minLongitude == 180.0) { > if (maxLongitude == 180.0) { > // range cannot match as 180.0 can never exist > return new MatchNoDocsQuery("LatLonPoint.newBoxQuery with > minLongitude=maxLongitude=180.0"); > } else if (maxLongitude < minLongitude) { > // encodeCeil() with dateline wrapping! > minLongitude = -180.0; > } > } > byte[] lower = encodeCeil(minLatitude, minLongitude); > byte[] upper = encode(maxLatitude, maxLongitude); > {code} > > IMO opinion this is confusing and can lead to strange results. For example a > query with {{minLatitude = minLatitude = 90}} does not match points with > {{latitude = 90}}. On the other hand a query with {{minLatitude = > minLatitude}} = 89.99999996}} will match points at latitude = 90. > I don't really understand the statement that says: {{90.0 can never exist}} > as this is as well true for values > 89.99999995809048 which is the maximum > quantize value. In this argument, this will be true for all values between > quantize coordinates as they do not exist in the index, why 90D is so > special? I guess because it cannot be ceil up without overflowing the > encoding. > Another argument to remove this function is that it opens the room to have > false negatives in the result of the query. if a query has minLon = > 89.999999957, it won't match points with longitude = 89.999999957 as it is > rounded up to 89.99999995809048. > The only merit I can see in the current approach is that if you only index > points that are already quantize, then all queries would be exact. But does > it make sense for someone to only index quantize values and then query by > non-quantize bounding boxes? > > I hope I am missing something, but my proposal is to remove encodeCeil all > together and remove all the special handling at the positive pole and > positive dateline. > -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org