我建了一张聚合模型表，建表语句：
CREATE TABLE test.event_detail_test (
event_rid varchar(36) NULL,
event_name varchar(512) NOT NULL,
lib varchar(255) NULL,
project_type int(11) NULL,
app_ver varchar(20) NULL,
event_time date NULL,
language_id int(11) NULL,
dt date NULL
cnt int(11) sum default ‘1’
) ENGINE=OLAP
AGGREGATE KEY(event_rid, event_name, lib, project_type, app_ver, event_time, language_id, dt)
PARTITION BY RANGE(dt)(PARTITION p20240117 VALUES [(“2024-01-17”), (“2024-01-18”)))
DISTRIBUTED BY HASH(event_name) BUCKETS 10
PROPERTIES (
“replication_num” = “3”,
“dynamic_partition.enable” = “true”,
“dynamic_partition.time_unit” = “DAY”,
“dynamic_partition.time_zone” = “Asia/Shanghai”,
“dynamic_partition.start” = “-7”,
“dynamic_partition.end” = “3”,
“dynamic_partition.prefix” = “p”,
“in_memory” = “true”,
“storage_format” = “DEFAULT”
);
然后聚合模型表针对聚合列sum速度很快，但是我想针对这张表的数据行数做count，速度就比较慢，有什么方法可以提高count的性能吗？
