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/test/java/org/elasticsearch/search/SearchServiceTests.java
public void testCreateReduceContext() {
        SearchService service = getInstanceFromNode(SearchService.class);
        AggregationReduceContext.Builder reduceContextBuilder = service.aggReduceContextBuilder(
            () -> false,
            new SearchRequest().source(new SearchSourceBuilder()).source().aggregations()
        );
        {
            AggregationReduceContext reduceContext = reduceContextBuilder.forFinalReduction();
            expectThrows(
                MultiBucketConsumerService.TooManyBucketsException.class,
                () -> reduceContext.consumeBucketsAndMaybeBreak(MultiBucketConsumerService.DEFAULT_MAX_BUCKETS + 1)
            );
        }
        {
            AggregationReduceContext reduceContext = reduceContextBuilder.forPartialReduction();
            reduceContext.consumeBucketsAndMaybeBreak(MultiBucketConsumerService.DEFAULT_MAX_BUCKETS + 1);
        }
    }
    public void testCreateSearchContext() throws IOException {
        String index = randomAlphaOfLengthBetween(5, 10).toLowerCase(Locale.ROOT);
        IndexService indexService = createIndex(index);
        final SearchService service = getInstanceFromNode(SearchService.class);
        ShardId shardId = new ShardId(indexService.index(), 0);
        long nowInMillis = System.currentTimeMillis();
        String clusterAlias = randomBoolean() ? null : randomAlphaOfLengthBetween(3, 10);
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.allowPartialSearchResults(randomBoolean());
        ShardSearchRequest request = new ShardSearchRequest(
            OriginalIndices.NONE,
            searchRequest,