taosdata/TDengine

查询响应时间波动很大,导致并发性能较低以及在高并发下查询响应变得更长导致响应超时

Open

#34,554 opened on Feb 11, 2026

View on GitHub
 (3 comments) (0 reactions) (0 assignees)C (5,002 forks)batch import
help wantedquestion

Repository metrics

Stars
 (24,849 stars)
PR merge metrics
 (Avg merge 1d 1h) (4 merged PRs in 30d)

Description

1、服务端版本:3.2.3.0 3台48C126G物理机器的集群

2、创库语句 CREATE DATABASE taos_iot BUFFER 256 CACHESIZE 512 CACHEMODEL 'both' COMP 2 DURATION 14400m WAL_FSYNC_PERIOD 3000 MAXROWS 4096 MINROWS 100 STT_TRIGGER 1 KEEP 5256000m,5256000m,5256000m PAGES 256 PAGESIZE 4 PRECISION 'ms' REPLICA 3 WAL_LEVEL 1 VGROUPS 80 SINGLE_STABLE 0 TABLE_PREFIX 0 TABLE_SUFFIX 0 TSDB_PAGESIZE 4 WAL_RETENTION_PERIOD 3600 WAL_RETENTION_SIZE 0 KEEP_TIME_OFFSET 0

3、超级表 CREATE STABLE td_iot_data (report_time TIMESTAMP, dval DOUBLE, sval VARCHAR(1024)) TAGS (device_id BIGINT, identifier NCHAR(100), product_id BIGINT, belong_id BIGINT, belong_type TINYINT, region_id BIGINT) 当前数据量:24951662

4、vgroups情况

5、查询语句: select device_id,identifier,report_time,dval,sval from td_iot_data where device_id = '1772468719746809936' and belong_id = '1772092418104045612' and report_time >= '2024-04-24 22:30:00.000' and report_time <= '2024-04-25 00:00:00.999' partition by tbname order by report_time desc limit 0,10;

问题: 查询响应时间波动情况如下,在高并发压测下去执行响应时间更长,导致并发性能较低以及在高并发下查询响应变得更长导致响应超时

Contributor guide