然后重启tidb后 立马用mysql客户端连上去
分析sql
SELECT FLOOR(UNIX_TIMESTAMP(MIN(summary_begin_time))) AS agg_begin_time, FLOOR(UNIX_TIMESTAMP(MAX(summary_end_time))) AS agg_end_time, ANY_VALUE(digest_text) AS agg_digest_text, ANY_VALUE(digest) AS agg_digest, SUM(exec_count) AS agg_exec_count, SUM(sum_latency) AS agg_sum_latency, MAX(max_latency) AS agg_max_latency, MIN(min_latency) AS agg_min_latency, CAST( SUM(exec_count * avg_latency) / SUM(exec_count) AS SIGNED ) AS agg_avg_latency, CAST( SUM(exec_count * avg_mem) / SUM(exec_count) AS SIGNED ) AS agg_avg_mem, MAX(max_mem) AS agg_max_mem, ANY_VALUE(schema_name) AS agg_schema_name, ANY_VALUE(plan_digest) AS agg_plan_digest,query_sample_text,index_names FROM INFORMATION_SCHEMA.CLUSTER_STATEMENTS_SUMMARY_HISTORY where index_names is null and query_sample_text >‘’ GROUP BY schema_name, digest ORDER BY agg_sum_latency DESC limit 1;
能找出最慢的表
或者加一下索引
我这里有tidb自动添加索引的工具