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
/*
                 * The query on the search context right now doesn't include
                 * the filter for nested documents or slicing so we have to
                 * delay reading it until the aggs ask for it.
                 */
                () -> context.rewrittenQuery() == null ? new MatchAllDocsQuery() : context.rewrittenQuery(),
                context.getProfilers() == null ? null : context.getProfilers().getAggregationProfiler(),
                multiBucketConsumerService.getLimit(),
                () -> new SubSearchContext(context).parsedQuery(context.parsedQuery()).fetchFieldsContext(context.fetchFieldsContext()),
                context.bitsetFilterCache(),
                context.indexShard().shardId().hashCode(),
                context::getRelativeTimeInMillis,
                context::isCancelled,
                context::buildFilteredQuery,
                enableRewriteAggsToFilterByFilter,
                source.aggregations().isInSortOrderExecutionRequired()
            );
            context.addQuerySearchResultReleasable(aggContext);
            try {
                AggregatorFactories factories = source.aggregations().build(aggContext, null);
                context.aggregations(new SearchContextAggregations(factories));
            } catch (IOException e) {
                throw new AggregationInitializationException("Failed to create aggregators", e);
            }
        }
        if (source.suggest() != null) {
            try {
                context.suggest(source.suggest().build(searchExecutionContext));
            } catch (IOException e) {
                throw new SearchException(shardTarget, "failed to create SuggestionSearchContext", e);