Merge branch 'main' into feat/extend-kibana-system-osquery-permissions

Author: szwarckonrad

README.asciidoc

@@ -275,7 +275,7 @@ For the complete Elasticsearch documentation visit
 https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html[elastic.co].
 
 For information about our documentation processes, see the
-xref:docs/README.asciidoc[docs README].
+xref:https://github.com/elastic/elasticsearch/blob/main/docs/README.md[docs README].
 
 [[examples]]
 == Examples and guides

benchmarks/src/main/java/org/elasticsearch/benchmark/_nightly/esql/QueryPlanningBenchmark.java

@@ -70,11 +70,11 @@ public class QueryPlanningBenchmark {
     private EsqlParser defaultParser;
     private Analyzer manyFieldsAnalyzer;
     private LogicalPlanOptimizer defaultOptimizer;
+    private Configuration config;
 
     @Setup
     public void setup() {
-
-        var config = new Configuration(
+        this.config = new Configuration(
             DateUtils.UTC,
             Locale.US,
             null,
@@ -116,7 +116,7 @@ public void setup() {
     }
 
     private LogicalPlan plan(EsqlParser parser, Analyzer analyzer, LogicalPlanOptimizer optimizer, String query) {
-        var parsed = parser.createStatement(query, new QueryParams(), telemetry);
+        var parsed = parser.createStatement(query, new QueryParams(), telemetry, config);
         var analyzed = analyzer.analyze(parsed);
         var optimized = optimizer.optimize(analyzed);
         return optimized;

benchmarks/src/main/java/org/elasticsearch/benchmark/vector/Int7uScorerBenchmark.java

@@ -24,6 +24,8 @@
 import org.apache.lucene.util.quantization.ScalarQuantizer;
 import org.elasticsearch.common.logging.LogConfigurator;
 import org.elasticsearch.core.IOUtils;
+import org.elasticsearch.logging.LogManager;
+import org.elasticsearch.logging.Logger;
 import org.elasticsearch.simdvec.VectorScorerFactory;
 import org.openjdk.jmh.annotations.Benchmark;
 import org.openjdk.jmh.annotations.BenchmarkMode;
@@ -61,6 +63,10 @@ public class Int7uScorerBenchmark {
 
     static {
         LogConfigurator.configureESLogging(); // native access requires logging to be initialized
+        if (supportsHeapSegments() == false) {
+            final Logger LOG = LogManager.getLogger(Int7uScorerBenchmark.class);
+            LOG.warn("*Query targets cannot run on " + "JDK " + Runtime.version());
+        }
     }
 
     @Param({ "96", "768", "1024" })
@@ -129,15 +135,17 @@ public void setup() throws IOException {
         nativeSqrScorer = factory.getInt7SQVectorScorerSupplier(EUCLIDEAN, in, values, scoreCorrectionConstant).get().scorer();
         nativeSqrScorer.setScoringOrdinal(0);
 
-        // setup for getInt7SQVectorScorer / query vector scoring
-        float[] queryVec = new float[dims];
-        for (int i = 0; i < dims; i++) {
-            queryVec[i] = ThreadLocalRandom.current().nextFloat();
+        if (supportsHeapSegments()) {
+            // setup for getInt7SQVectorScorer / query vector scoring
+            float[] queryVec = new float[dims];
+            for (int i = 0; i < dims; i++) {
+                queryVec[i] = ThreadLocalRandom.current().nextFloat();
+            }
+            luceneDotScorerQuery = luceneScorer(values, VectorSimilarityFunction.DOT_PRODUCT, queryVec);
+            nativeDotScorerQuery = factory.getInt7SQVectorScorer(VectorSimilarityFunction.DOT_PRODUCT, values, queryVec).get();
+            luceneSqrScorerQuery = luceneScorer(values, VectorSimilarityFunction.EUCLIDEAN, queryVec);
+            nativeSqrScorerQuery = factory.getInt7SQVectorScorer(VectorSimilarityFunction.EUCLIDEAN, values, queryVec).get();
         }
-        luceneDotScorerQuery = luceneScorer(values, VectorSimilarityFunction.DOT_PRODUCT, queryVec);
-        nativeDotScorerQuery = factory.getInt7SQVectorScorer(VectorSimilarityFunction.DOT_PRODUCT, values, queryVec).get();
-        luceneSqrScorerQuery = luceneScorer(values, VectorSimilarityFunction.EUCLIDEAN, queryVec);
-        nativeSqrScorerQuery = factory.getInt7SQVectorScorer(VectorSimilarityFunction.EUCLIDEAN, values, queryVec).get();
     }
 
     @TearDown
@@ -208,6 +216,10 @@ public float squareDistanceNativeQuery() throws IOException {
         return nativeSqrScorerQuery.score(1);
     }
 
+    static boolean supportsHeapSegments() {
+        return Runtime.version().feature() >= 22;
+    }
+
     QuantizedByteVectorValues vectorValues(int dims, int size, IndexInput in, VectorSimilarityFunction sim) throws IOException {
         var sq = new ScalarQuantizer(0.1f, 0.9f, (byte) 7);
         var slice = in.slice("values", 0, in.length());

benchmarks/src/test/java/org/elasticsearch/benchmark/vector/Int7uScorerBenchmarkTests.java

@@ -42,8 +42,10 @@ public void testDotProduct() throws Exception {
                 assertEquals(expected, bench.dotProductLucene(), delta);
                 assertEquals(expected, bench.dotProductNative(), delta);
 
-                expected = bench.dotProductLuceneQuery();
-                assertEquals(expected, bench.dotProductNativeQuery(), delta);
+                if (Int7uScorerBenchmark.supportsHeapSegments()) {
+                    expected = bench.dotProductLuceneQuery();
+                    assertEquals(expected, bench.dotProductNativeQuery(), delta);
+                }
             } finally {
                 bench.teardown();
             }
@@ -60,8 +62,10 @@ public void testSquareDistance() throws Exception {
                 assertEquals(expected, bench.squareDistanceLucene(), delta);
                 assertEquals(expected, bench.squareDistanceNative(), delta);
 
-                expected = bench.squareDistanceLuceneQuery();
-                assertEquals(expected, bench.squareDistanceNativeQuery(), delta);
+                if (Int7uScorerBenchmark.supportsHeapSegments()) {
+                    expected = bench.squareDistanceLuceneQuery();
+                    assertEquals(expected, bench.squareDistanceNativeQuery(), delta);
+                }
             } finally {
                 bench.teardown();
             }

docs/changelog/129013.yaml

@@ -0,0 +1,13 @@
+pr: 129013
+summary: "Add remote index support to LOOKUP JOIN"
+area: ES|QL
+type: feature
+issues: [ ]
+highlight:
+  title: Add remote index support to LOOKUP JOIN
+  body: |-
+    Queries containing LOOKUP JOIN now can be preformed on cross-cluster indices, for example:
+    [source,yaml]
+    ----------------------------
+    FROM logs-*, remote:logs-* | LOOKUP JOIN clients on ip | SORT timestamp | LIMIT 100
+    ----------------------------

docs/changelog/130409.yaml

@@ -0,0 +1,5 @@
+pr: 130409
+summary: Add Dependency Checker for `LogicalLocalPlanOptimizer`
+area: ES|QL
+type: enhancement
+issues: []

docs/changelog/130427.yaml

@@ -0,0 +1,5 @@
+pr: 130427
+summary: Disallow brackets in unquoted index pattersn
+area: ES|QL
+type: bug
+issues: []

docs/changelog/130593.yaml

@@ -0,0 +1,5 @@
+pr: 130593
+summary: Add new `CachePopulationReason`
+area: Store
+type: enhancement
+issues: []

docs/changelog/130705.yaml

@@ -0,0 +1,5 @@
+pr: 130705
+summary: Fix `BytesRef2BlockHash`
+area: ES|QL
+type: bug
+issues: []

docs/changelog/130776.yaml

@@ -0,0 +1,6 @@
+pr: 130776
+summary: Fix msearch request parsing when index expression is null
+area: Search
+type: bug
+issues:
+ - 129631