Optimize sparse vector stats collection

This change improves the performance of sparse vector statistics gathering by using the document count of terms directly, rather than relying on the field name field to compute stats.
By avoiding per-term disk/network reads and instead leveraging statistics already loaded into leaf readers at index opening, we expect to significantly reduce overhead.

Relates to #128583

Author: jimczi

server/src/main/java/org/elasticsearch/index/engine/Engine.java

@@ -26,7 +26,6 @@
 import org.apache.lucene.index.SegmentInfos;
 import org.apache.lucene.index.SegmentReader;
 import org.apache.lucene.index.Terms;
-import org.apache.lucene.index.TermsEnum;
 import org.apache.lucene.search.IndexSearcher;
 import org.apache.lucene.search.QueryCache;
 import org.apache.lucene.search.QueryCachingPolicy;
@@ -65,7 +64,6 @@
 import org.elasticsearch.index.codec.FieldInfosWithUsages;
 import org.elasticsearch.index.codec.vectors.reflect.OffHeapByteSizeUtils;
 import org.elasticsearch.index.mapper.DocumentParser;
-import org.elasticsearch.index.mapper.FieldNamesFieldMapper;
 import org.elasticsearch.index.mapper.LuceneDocument;
 import org.elasticsearch.index.mapper.Mapper;
 import org.elasticsearch.index.mapper.Mapping;
@@ -385,14 +383,15 @@ protected final SparseVectorStats sparseVectorStats(IndexReader indexReader, Lis
 
     private long getSparseVectorValueCount(final LeafReader atomicReader, List<BytesRef> fields) throws IOException {
         long count = 0;
-        Terms terms = atomicReader.terms(FieldNamesFieldMapper.NAME);
-        if (terms == null) {
-            return count;
-        }
-        TermsEnum termsEnum = terms.iterator();
-        for (var fieldName : fields) {
-            if (termsEnum.seekExact(fieldName)) {
-                count += termsEnum.docFreq();
+        for (var fieldNameBR : fields) {
+            var fieldName = fieldNameBR.utf8ToString();
+            var fi = atomicReader.getFieldInfos().fieldInfo(fieldName);
+            if (fi == null) {
+                continue;
+            }
+            Terms terms = atomicReader.terms(fieldName);
+            if (terms != null) {
+                count += terms.getDocCount();
             }
         }
         return count;