WebMay 1, 2024 · MySQL has a built-in slow query log. To use it, open the my.cnf file and set the slow_query_log variable to "On." Set long_query_time to the number of seconds that a query should take to be considered slow, say 0.2. Set slow_query_log_file to the path where you want to save the file. Then run your code and any query above the specified ... WebJul 23, 2024 · Well, in most cases, low offset queries are not slow. The problem starts with high OFFSET values. If your query is using the following limit clause: "LIMIT 50000, 20", it's actually requesting the database to go through 50,020 rows and throw away the first 50,000. This action can have a high cost an impact response time.
[Solved] mysql duration and fetch time 9to5Answer
WebApr 9, 2013 · My understanding of the terms is: - Duration: time taken for query to fully execute on server (not affected by things like network latency/speed) - Fetch: time taken … WebApr 9, 2013 · Doing a little more investigation (queries are cached so duration should be very short if anything, and results averaged) Repeating over 20 times, on a slightly more complex query Over internet duration 0.047, fetch 0.016 Over local fetch is always 0 as expected, however duration is generally 0, occasionally going to 0.016 Repeating over 5 … inactivity timer lte
MySQL FETCH How the FETCH clause work in …
WebAug 13, 2024 · MySQL Workbench tells me that this query takes ~4s of Duration and 130 seconds of Fetch Time. However, when I remove the second LEFT JOIN with the big table, the query takes <1s of Duration and <1s Fetch Time. I clearly understand why the query duration is increased. I am doing a kinda heavy left join. WebJul 26, 2012 · A slightly modified version of the query changes the actual time it takes for the output window to appear from .1 seconds (I'm guessing) to 1 second or more. BUT ... the … WebNov 28, 2024 · Basically this table contains points of interest of an image with respective descriptors. When I’m trying to execute query that selects points that are spatially near to the query points, total execution time takes too long. More precisely Duration / Fetch = 0.484 sec / 27.441 sec. And the query is quite simple, which returns only ~17000 rows. inactivity timeout seconds