What could explain a 30 second MySQL SELECT query latency when profiling records an execution time of <1 second?

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Question :

I’m trying to figure out why a simple select with a LIMIT 1 clause (admittedly, on a really bloated table with a lot of rows and indices) is sometimes taking 30+ seconds (even 2 minutes, sometimes) to execute on an AWS RDS Aurora instance. This is on a writer instance.

It seems to occur for the first query from a client, only on a particular select that looks through hundreds of thousands of rows, and only sometimes.

The query is in the form:

SELECT some_table.col1, some_table.col2, some_table.col3, some_table.col4, 
  MAX(some_table.col2) AS SomeValue 
FROM some_table 
WHERE some_table.col3=123456 LIMIT 1;

And ‘explain’ outputs:

| id | select_type | table         | type | possible_keys | key     | key_len | ref   | rows   | Extra |
|  1 | SIMPLE      | some_table    | ref  | col1          | col1    | 4       | const | 268202 | NULL  |

I managed to reproduce the issue and captured the profile for the query in PhpMyAdmin. PhpMyAdmin recorded the query as taking 30.1 seconds to execute, but the profiler shows that execution itself takes less than a second:

PhpMyAdmin profile for select query

So it looks like the execution itself isn’t taking a lot of time; what could be causing this latency issue? I also found the same query recorded in RDS Performance Insights:

enter image description here

This seems to occur for the first query in a series of identical or similar queries. Could it be a caching issue? I’ve tried running RESET QUERY CACHE; in an attempt to reproduce the latency but with no success. Happy to provide more information about the infrastructure if that would help.

More info

SHOW VARIABLES LIKE 'query_cache%';

enter image description here


enter image description here

Rows examined and sent (from Performance Insights):

Screenshot of rows examined and sent from AWS Performance Insights


CREATE TABLE `some_table` (
`col1` int(10) unsigned NOT NULL AUTO_INCREMENT,
`col2` int(10) unsigned NOT NULL DEFAULT '0',
`col3` int(10) unsigned NOT NULL DEFAULT '0',
`col4` int(10) unsigned NOT NULL DEFAULT '0',
`col5` mediumtext COLLATE utf8mb4_unicode_ci NOT NULL,
`col6` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '',
`col7` int(10) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`col1`),
KEY `col2` (`col2`),
KEY `col3` (`col3`),
KEY `col4` (`col4`),
KEY `col6` (`col6`),
KEY `col7` (`col7`)
) ENGINE=InnoDB AUTO_INCREMENT=123456789 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci

Answer :

Consider creating this composite index,

CREATE INDEX some_table_indx_col3_col2 ON some_table(col3,col2);

You should remove the col3 index to avoid index redundancy and conserve storage space.

Considering these existing details, 
Query_cache_size        2,556,593,152 
less Qcache_free_memory 2,555,753,592 
Query_cache bytes in use      839,560 
Qcache_queries_in_cache     /     288 
You have avg bytes per query    2,915 in use 

Consider query_cache_limit of 192K  for ~ 64 * avg bytes per query 
query_cache_min_res_unit          512  the minimum to store more queries in your cache 
query_cache_size   50M   for ~ 64 * Query_cache bytes in use - from ~2.5G size. 

To conserve 98% of CPU cycles used each time qcache_lowmem_prunes are required.

Stalls can be observed if innodb tables are deleted that have involvement with flushing from innodb_buffer_pool change activity before the requested table delete can be completed.

Please let us know of your progress/frustration and consider awarding the bounty.
Happy New Year

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