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<\/a><\/p>\nIf it’s off, turn it on and set a threshold like this:<\/p>\n
SET GLOBAL slow_query_log = ‘ON’;<\/b><\/p>\n
SET GLOBAL long_query_time = 2;<\/b><\/p>\n
This tells MySQL to log any query that takes longer than 2 seconds. To find where the log is being written, run:<\/p>\n SHOW VARIABLES LIKE ‘slow_query_log_file’;<\/b><\/p>\n Open that file and you’ll see exactly which queries are dragging your database down.<\/p>\n Missing indexes are one of the most common reasons queries slow down over time. If a query is scanning through thousands or millions of rows without an index, it’s going to be slow no matter how powerful your server is. Look at your slow queries, check which columns are being filtered or joined on, and add indexes there.<\/p>\n Say you have a table of orders and you keep running a query like this:<\/p>\n SELECT * FROM orders WHERE customer_id = 1023;<\/b><\/p>\n If customer_id<\/b> isn’t indexed, MySQL has to scan the whole table every single time. Adding an index fixes that:<\/p>\n CREATE INDEX idx_customer_id ON orders(customer_id);<\/b><\/p>\n That one line can turn a query that takes several seconds into one that takes milliseconds. Just be careful not to over-index either, too many indexes can slow down writes since every insert or update has to update those indexes too.<\/p>\n Sometimes the query itself is the problem, not the database. Avoid using SELECT *<\/b> when you only need a few columns. Break down complex joins if they’re not necessary. Use EXPLAIN or EXPLAIN ANALYZE<\/b> to see how your database is actually executing a query, this usually reveals exactly why it’s slow.<\/p>\n For example, instead of writing:<\/p>\n SELECT * FROM orders WHERE customer_id = 1023;<\/b><\/p>\n Only pull the columns you actually need:<\/p>\n SELECT order_id, order_date, total_amount FROM orders WHERE customer_id = 1023;<\/b><\/p>\n Now run EXPLAIN<\/b> in front of it to see what’s happening behind the scenes:<\/p>\n EXPLAIN SELECT order_id, order_date, total_amount FROM orders WHERE customer_id = 1023;<\/b><\/p>\n The output will tell you whether the query is using an index or scanning the whole table (look at the “type” and “rows” columns in the result). If it shows a full table scan, that’s your cue to add an index or rewrite the query.<\/p>\n A lot of “database is slow”<\/b> complaints actually come down to the server running out of resources. Keep an eye on CPU usage, RAM, and disk I\/O. If your database is constantly swapping memory or your disk is maxed out, no amount of query tuning is going to fix that. Sometimes the real fix is just upgrading resources or moving to faster storage like SSD or NVMe.<\/p>\n You can check your instance resource usage from your Accuweb.cloud dashboard by visiting the URL below: Default configurations are rarely built for production workloads. Things like buffer pool size, connection limits, and cache settings matter a lot. For MySQL, the setting to focus on first is innodb_buffer_pool_size<\/b>, this controls how much memory MySQL uses to cache data and indexes in RAM instead of reading from disk every time.<\/p>\n Check what it’s currently set to:<\/p>\n SHOW VARIABLES LIKE ‘innodb_buffer_pool_size’;<\/b><\/p>\n<\/a><\/p>\n<\/a><\/p>\nStep 2: Add the Right Indexes<\/h3>\n
<\/a><\/p>\n<\/a><\/p>\nStep 3: Clean Up and Optimize Your Queries<\/h3>\n
<\/a><\/p>\nStep 4: Check Your Server Resources<\/h3>\n
\nhttps:\/\/accuweb.cloud\/resource\/cs\/monitor-resource-usage<\/b><\/a><\/p>\n<\/a><\/p>\nStep 5: Tune Your Database Configuration<\/h3>\n