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How do I speed up update queries?
The fastest way to speed up the update query is to replace it with a bulk-insert operation. It is a minimally logged operation in simple and Bulk-logged recovery model. This can be done easily by doing a bulk-insert in a new table and then rename the table to original one.
Is stored procedure faster than query in MySQL?
This includes things like white space and case sensitivity. It is much less likely that a query inside of a stored procedure will change compared to a query that is embedded in code. Because of this, the stored procedure may in fact be executing faster because it was able to reuse a cached plan.
Why is MySQL stored procedure slower than standard query-stack?
When you run the query by hand, the expression WHERE (‘test’ IS NULL or COL1 = ‘test’) can be optimized when the query is being parsed. The parser can see that the string ‘test’ is not null, so it converts the test to WHERE COL1 = ‘test’.
How long does it take to update a query in MySQL?
This query updates ~80k rows and takes around 60 seconds to complete, and the more rows updated the longer it takes which results in timeouts. The index IX_ParentKey cardinality is ~830k. Note that a select with the same WHERE clause returns very quickly (< 1s).
Which is faster InnoDB or MySQL simple update?
Packing UUIDs into BINARY (16) would shrink the table, thereby providing more speed. Updating 80K rows at once takes a lot of effort, especially when planning for a possible ROLLBACK. This may partially explain why InnoDB seems to be slower than MyISAM.
What’s the fastest way to update a table?
If you update large parts of your table, building new indexes from scratch is much faster than incrementally updating indexes with every changed row. Also, your update is not likely to break any foreign key constraints. You could try to delete & recreate those, too.