[ScriptTrigger] Groovy Expression evaluation to true. (<a href="triggerCauseAction">log</a>)67070cab6cfcb604106b5789262278b09cb0e7170584ecab6cfcb604106b5789262278b09cb0e7170584erefs/remotes/origin/maincab6cfcb604106b5789262278b09cb0e7170584ecab6cfcb604106b5789262278b09cb0e7170584erefs/remotes/origin/maincab6cfcb604106b5789262278b09cb0e7170584ecab6cfcb604106b5789262278b09cb0e7170584erefs/remotes/origin/mainhttps://gitbox.apache.org/repos/asf/lucene.git080818218testReportfalseJava: 64bit/hotspot/jdk-26.0.1 -XX:+UseCompressedOops -XX:+UseParallelGC#67070687833594907Lucene-main-Linux #6707067070falsefalse67070232399SUCCESS1789765560646https://jenkins.thetaphi.de/view/Lucene/job/Lucene-main-Linux/67070/lucene/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/OffHeapScalarQuantizedFloat16VectorValues.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.javacab6cfcb604106b5789262278b09cb0e7170584e1789765008000https://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. 2026-09-18 13:56:48 -0700cab6cfcb604106b5789262278b09cb0e7170584eImplement data-blind scalar quantization (#16030)editlucene/CHANGES.txteditlucene/core/src/java/org/apache/lucene/util/quantization/OptimizedScalarQuantizer.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/OffHeapScalarQuantizedFloat16VectorValues.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsFormat.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/OffHeapScalarQuantizedFloatVectorValues.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104HnswScalarQuantizedVectorsFormat.javaeditlucene/core/src/test/org/apache/lucene/codecs/lucene104/TestLucene104HnswScalarQuantizedVectorsFormat.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsWriter.javaeditlucene/core/src/java/org/apache/lucene/codecs/lucene104/Lucene104ScalarQuantizedVectorsReader.javaeditlucene/core/src/test/org/apache/lucene/codecs/lucene104/TestLucene104ScalarQuantizedVectorsFormat.javagithttps://jenkins.thetaphi.de/user/noreplynoreply