jpountz commented on a change in pull request #658:
URL: https://github.com/apache/lucene/pull/658#discussion_r802363166
##########
File path: lucene/core/src/java/org/apache/lucene/search/PointRangeQuery.java
##########
@@ -369,6 +369,54 @@ public Scorer scorer(LeafReaderContext context) throws
IOException {
return scorerSupplier.get(Long.MAX_VALUE);
}
+ @Override
+ public int count(LeafReaderContext context) throws IOException {
+ LeafReader reader = context.reader();
+
+ PointValues values = reader.getPointValues(field);
+ if (values == null) {
+ // No docs in this segment indexed any points or this field did not
contain any points
+ return 0;
+ }
+
+ if (values.getNumIndexDimensions() != numDims) {
+ throw new IllegalArgumentException(
+ "field=\""
+ + field
+ + "\" was indexed with numIndexDimensions="
+ + values.getNumIndexDimensions()
+ + " but this query has numDims="
+ + numDims);
+ }
+ if (bytesPerDim != values.getBytesPerDimension()) {
+ throw new IllegalArgumentException(
+ "field=\""
+ + field
+ + "\" was indexed with bytesPerDim="
+ + values.getBytesPerDimension()
+ + " but this query has bytesPerDim="
+ + bytesPerDim);
+ }
+
+ if (reader.hasDeletions() == false
+ && numDims == 1
+ && values.getDocCount() == reader.maxDoc()
Review comment:
We do not need all documents to have points. In your example where there
are 10 docs and 8 of them have points. If the range query contains the range of
value (ie. all points match), then the BKD tree would give us 8 matches. So
we're good?
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