Started by upstream project "Lucene-main-Windows" build number 20,73920739Lucene-main-Windowsjob/Lucene-main-Windows/6003bb79ec5f18473aba6f95d83878924f45070d15b3bb79ec5f18473aba6f95d83878924f45070d15b3refs/remotes/origin/branch_10xbb79ec5f18473aba6f95d83878924f45070d15b3bb79ec5f18473aba6f95d83878924f45070d15b3refs/remotes/origin/branch_10xbb79ec5f18473aba6f95d83878924f45070d15b3bb79ec5f18473aba6f95d83878924f45070d15b3refs/remotes/origin/branch_10xhttps://gitbox.apache.org/repos/asf/lucene.git0149120113testReportfalseJava: 64bit/hotspot/jdk-21.0.12 -XX:+UseCompressedOops -XX:+UseSerialGC#6003686217750687Lucene-10.x-macOS #60036003falsefalse6003232404SUCCESS1789768878589https://jenkins.thetaphi.de/view/Lucene/job/Lucene-10.x-macOS/6003/macOS VMlucene/core/src/test/org/apache/lucene/codecs/lucene104/TestLucene104ScalarQuantizedVectorsFormat.javalucene/core/src/java/org/apache/lucene/codecs/lucene104/OffHeapScalarQuantizedFloatVectorValues.javalucene/core/src/test/org/apache/lucene/codecs/lucene104/TestLucene104HnswScalarQuantizedVectorsFormat.javalucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104HnswScalarQuantizedVectorsFormat.javalucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsReader.javalucene/CHANGES.txtlucene/core/src/java/org/apache/lucene/util/quantization/OptimizedScalarQuantizer.javalucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsFormat.javalucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsWriter.javabb79ec5f18473aba6f95d83878924f45070d15b31789767604000https://jenkins.thetaphi.de/user/noreplynoreplynoreply@github.comImplement data-blind scalar quantization (#16030) Add a new Mode option to scalar quantization that allows switching between 3 different storage representations: CENTERED maintains the existing path: a mean vector is computed per-segment and every vector is quantized as a residual against this mean vector. DATA_BLIND_WITH_FLOATS skips computing a mean vector and provides a zero vector instead. This makes merging cheaper -- there's no need to compute the segment mean vector or re-quantize the contents of the segment. The original input float vector is retained. DATA_BLIND_WITHOUT_FLOATS extends the approach above by dropping the float vectors as well. This only support for symmetric quantization; asymmetric quantization needs to re-read the original floats as "queries" for graph search. Both CENTERED and DATA_BLIND_WITH_FLOATS require that there is an input float field on segment inputs or merges are failed, when floats are dropped we allow inputs with he same encoding. Backported as #16685 2026-09-18 14:40:04 -0700bb79ec5f18473aba6f95d83878924f45070d15b3Implement data-blind scalar quantization (#16030)editlucene/core/src/test/org/apache/lucene/codecs/lucene104/TestLucene104ScalarQuantizedVectorsFormat.javaeditlucene/core/src/java/org/apache/lucene/util/quantization/OptimizedScalarQuantizer.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsFormat.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsWriter.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104HnswScalarQuantizedVectorsFormat.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/OffHeapScalarQuantizedFloatVectorValues.javaeditlucene/core/src/test/org/apache/lucene/codecs/lucene104/TestLucene104HnswScalarQuantizedVectorsFormat.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsReader.javaeditlucene/CHANGES.txtgithttps://jenkins.thetaphi.de/user/noreplynoreply