Here, “slow_query_log” enables the slow query log, “slow_query_log_file” specifies the location and name of the file, and “long_query_time” specifies the number of seconds (example, you can enter your own number) that a query must take to be considered “slow” and logged. ...
to slow down in MySQL? Several factors can contribute to slow query performance in MySQL, including of proper indexing, inefficient query patterns (suchas full table scans), resource contention (CPU, memory, or disk I/O bottlenecks), poorly designed schemas, locking issues, and suboptimal ...
Indexes are essential for optimizing database performance and reducing query execution time. Focus on indexing frequently queried columns, such as those in WHERE and JOIN clauses. Composite indexes can also be beneficial for multi-column filtering. However, avoid over-indexing, as it can slow down...
Enable the slow log and collect for some time (slow_query_log = 1) Stop collection and process the log with pt-query-digest Begin reviewing the top queries in times of resource usage Note – you can also use the performance schema to identify queries, but setting that up is outside the...
slow_query_log = /var/log/mysql/mysql-slow.log long_query_time = 1 log-queries-not-using-indexes = 1 1. 2. 3. The above should be added to the configuration. It’ll monitor queries that are longer than 1 second, and those not using indexes. ...
服务启动后,即可开始使用数据库啦!打开WorkBench,Database -> Connect to Database(有些版本是query database) -> 填写正确的ip和端口登陆之(本机ip为127.0.0.1,远程访问数据库则视实际情况填写ip,端口即my.ini中设置的监听端口)。 OK,至此我们已经可以使用可视化的mysql来建立数据库了,而如何建表、视图、存储过...
slow-query-log=1 slow_query_log_file="Hotwind-slow.log" long_query_time=5 # Binary Logging. log-bin = "F:/MySQL/Data/Hotwind-bin.000001" # Error Logging. log-error = "F:/MySQL/Data/Hotwind.err" # Server Id. server-id=1 ...
开启慢查询功能 vim /etc/my.cnf [mysqld] slow-query-log = on # 开启慢查询功能 slow_query_log_file = /data/slow-query.log # 慢查询日志存放路径与名称 long_query_time = 5 # 查询时间超过5s的查询语句 log-queries-not-using-indexes = on # 列出没有使用索引的查询语句 ...
and agg_time + 60 <= end_time -- This is too complex to be optimized. matrixID is needed because of "where matrixID = 882014". Indexing the times is useless because of the computation between the two. However, the compound index I suggest _may_ spend more time in the 'index' and...
If you’re ever asked to help debug a slow query or indexing problem against a table (or group of tables) that you haven’t seen in quite a while, you’ll need to recover some basic information. Which columns are indexed? How many values are there? How large is the index?