### Description

This is to investigate what we could do to support the data streams in SQL. The backing indices can be queried already, but to address them similarly as they're queried over QDSL one would need to construct a pattern learned out of band and not through SQL metadata discovery mechanisms.
x-pack/plugin/sql/qa/server/src/main/java/org/elasticsearch/xpack/sql/qa/rest/RestSqlTestCase.java
cursor = (String) response.remove("cursor");
            assertResponse(expected, response);
        }
        assertNull(cursor);
        deleteIndex("test_date_timezone");
    }
    @AwaitsFix(bugUrl = "Unclear status, https:github.com/elastic/x-pack-elasticsearch/issues/2074")
    public void testTimeZone() throws IOException {
        String mode = randomMode();
        boolean columnar = randomBoolean();
        index("{\"test\":\"2017-07-27 00:00:00\"}", "{\"test\":\"2017-07-27 01:00:00\"}");
        Map<String, Object> expected = new HashMap<>();
        expected.put("columns", singletonMap("test", singletonMap("type", "text")));
        if (columnar) {
            expected.put("values", Arrays.asList(singletonMap("test", "test"), singletonMap("test", "test")));
        } else {
            
            expected.put("rows", Arrays.asList(singletonMap("test", "test"), singletonMap("test", "test")));
        }
        expected.put("size", 2);
        
        assertResponse(expected, runSql(mode, "SELECT DAY_OF_YEAR(test), COUNT(*) FROM " + indexPattern("test"), columnar));
    }
    public void testScoreWithFieldNamedScore() throws IOException {
        Request request = new Request("POST", "/test/_bulk");
        request.addParameter("refresh", "true");
        String mode = randomMode();
        String bulk = """
            {"index":{"_id":"1"}}
            {"name":"test", "score":10}