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https://issues.apache.org/jira/browse/LUCENE-9154?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17024197#comment-17024197
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Ignacio Vera commented on LUCENE-9154:
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Thanks [~rcmuir] for your explanation and yes, this is my understanding.
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.
In regards the implementation detail, I think is a bit more than that because
it changes which documents are matched compared to a query which does not
encode the input bounding box. Having said that, I think the input bounding box
should be quantise to match all documents and allow for false positives.
If a user want the behaviour proposed here, (s)he can just quantize the
bounding box before creating the query so in this case we can have both
behaviours.
> 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.
>
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