Many search requests have the following structure:

```
...
"query": {
      "bool": {
        "must": [],
        "filter": [
          {
            "match_phrase": {
              "data_stream.dataset": "kubernetes.container"
            }
          },
          {
            "range": {
              "@timestamp": {
                "format": "strict_date_optional_time",
                "gte": "...",
                "lte": "...."
              }
            }
          }
        ],
        "should": [],
        "must_not": []
      }
    }
...
```

The index pattern matches (`metrics-*`) matches all metric data streams, but the `match_phrase` query on the `data_stream.dataset` field, which is a constant keyword field, only matches with one specific data stream.

Before query rewriting either in the `can_match` or `query` phases, shards that are search-idle get refreshed. This increases the query time significantly. Many o11y use cases rely on the default refresh behaviour. Which is the schedule a refresh every second when a shard is search active and don't schedule any refreshes when a shard is search-idle, this to favour indexing performance.

The refresh that occurs before the query rewrite should not occur on shards that don't match with the required filter clause on the `data_stream.dataset` constant keyword field. That is the goal of this issue.. 
server/src/main/java/org/elasticsearch/search/SearchService.java
final List<CompletionSuggestion> completionSuggestions;
        if (suggest != null && suggest.hasScoreDocs()) {
            completionSuggestions = suggest.filter(CompletionSuggestion.class);
            for (CompletionSuggestion completionSuggestion : completionSuggestions) {
                numSuggestDocs += completionSuggestion.getOptions().size();
            }
        } else {
            completionSuggestions = Collections.emptyList();
        }
        if (context.request().scroll() != null) {
            TopDocs topDocs = context.queryResult().topDocs().topDocs;
            docIdsToLoad = new int[topDocs.scoreDocs.length + numSuggestDocs];
            for (int i = 0; i < topDocs.scoreDocs.length; i++) {
                docIdsToLoad[docsOffset++] = topDocs.scoreDocs[i].doc;
            }
        } else {
            TopDocs topDocs = context.queryResult().topDocs().topDocs;
            if (topDocs.scoreDocs.length < context.from()) {
                
                docIdsToLoad = new int[numSuggestDocs];
            } else {
                int totalSize = context.from() + context.size();
                docIdsToLoad = new int[Math.min(topDocs.scoreDocs.length - context.from(), context.size()) + numSuggestDocs];
                for (int i = context.from(); i < Math.min(totalSize, topDocs.scoreDocs.length); i++) {
                    docIdsToLoad[docsOffset++] = topDocs.scoreDocs[i].doc;
                }
            }
        }
        for (CompletionSuggestion completionSuggestion : completionSuggestions) {
            for (CompletionSuggestion.Entry.Option option : completionSuggestion.getOptions()) {