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
throw new AssertionError(e);
                    } finally {
                        latch.countDown();
                    }
                }
            });
            latch.await();
        }
    }
    public void testDeleteIndexWhileSearch() throws Exception {
        createIndex("test");
        int numDocs = randomIntBetween(1, 20);
        for (int i = 0; i < numDocs; i++) {
            client().prepareIndex("test").setSource("f", "v").get();
        }
        client().admin().indices().prepareRefresh("test").get();
        AtomicBoolean stopped = new AtomicBoolean(false);
        Thread[] searchers = new Thread[randomIntBetween(1, 4)];
        CountDownLatch latch = new CountDownLatch(searchers.length);
        for (int i = 0; i < searchers.length; i++) {
            searchers[i] = new Thread(() -> {
                latch.countDown();
                while (stopped.get() == false) {
                    try {
                        client().prepareSearch("test").setRequestCache(false).get();
                    } catch (Exception ignored) {
                        return;
                    }
                }
            });