Why Does The Slow Query Log Show More Rows Than Exist?
# Time: 070528 17:14:57
# User@Host: counter[counter] @ localhost []
# Query_time: 3 Lock_time: 0 Rows_sent: 7 Rows_examined: 120647
SELECT SQL_CACHE `webpageUrl`, `webpageName`, COUNT(*) AS `count`, (COUNT(*) / (SELECT COUNT(*) FROM _1_log)) AS `pct` FROM _1_log GROUP BY `webpageUrl` ORDER BY `count` DESC LIMIT 7;
mysql> select count(*) from _1_log;
+----------+
| count(*) |
+----------+
| 111824 |
+----------+
1 row in set (0.00 sec)
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Can't Turn On Slow Query Logging
long_query_time = 1 log-slow-queries = /var/lib/mysql/slow_queries.log Is the above syntax not correct for enabling slow query logging? All examples I've seen have the dashes in the second variable and underscores in the first. When I restart MySQL with those lines in my.cnf, it fails to start, but writes nothing to its error log. /var/lib/mysql/slow_queries.log exists, is owned by mysql, and has read/write permission.
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815,000+ Records, DB Table Query Too Slow
I have a database table with about 815,000 records in it, each record containing the source of individual webpages (with all the tags and multiple spacing stripped out leaving just the words). At first my match boolean queries were fine but once I got to around 100,000+ records it became too slow to use for a web-based search tool. I was able to separate the data into 10 tables and then use AJAX to run the match query on all 10 tables at the same time and that has increased performance. My question is, is it possible for me to increase the performance for the 1 table some how instead of resorting to separating the data into multiple tables? Is MySQL the right DB for this kind of setup, would MSSQL or PostgreSQL perform better for larger sets of data? I'm not sure how MySQL 5 clustering works,
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Query To Show Users Who Haven't Logged In
Since this would seem to be an easy question, I'll assume it's been answered here before. On a site of mine, every time someone logs in, authenticating against 'Users', a record is inserted into a table called 'UserLog'. The two tables below represent the basic structure of what I'm working with. Table: Users -------------------------- ID | Username | Password | -------------------------- 1 | syeargin | testpass | 2 | rdoe | passwd | 3 | jdoe | demo | 4 | jking | passwd | 5 | badams | demo | -------------------------- Table: UserLog ....
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Change To Simple Query Causing It To Run Show, Help?
I m looking for some help if possible. I ve got a very simple query which just outputs all the records from the table (tbl_addresses). It has 8587 records. SELECT a.ID, a.address, a.datecreated, a.datemodified FROM tbl_addresses as a WHERE a.statusid = 1 LIMIT #arguments.pagesize# OFFSET #arguments.startrow# I ve been asked to update the query to get the name field from another table called tbl_organisations. This table has 8883 records. There is a link table to relate the two (lnk_addresses). This table has 8243 records. I ve updated my query to the following: SELECT o.name, a.ID, a.address, a.datecreated, a.datemodified FROM tbl_addresses as a LEFT JOIN lnk_addresses as la ON a.id = la.addressId LEFT JOIN tbl_organisations as o ON la.orgId = o.id WHERE a.statusid = 1 LIMIT #arguments.pagesize# OFFSET #arguments.startrow# The query now runs at snails pace and takes minutes to display anything. Even If I remove the 2nd join (LEFT JOIN tbl_organisations as o ON la.orgId = o.id) its slow so I guess its related to the tbl_addresses and lnk_addresses.
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Do Parallel Inserts And Selects Slow Down A Query?
I've been facing problems with a query which I think is relatively well optimized but has been performing really slow as of late as the size of the table has increased to more than 1GB. The MyISAM table is updated every few seconds, only a few rows, and a different set of rows are selected every few seconds.Wwould that cause a slowdown and if so, what is the solution?
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Large Table, Slow Query Question
I have a table with ~800,000 records. I need to grab random rows from the table based on certain criteria. The problem is that average lowest subset to grab the random row is around 200k. Here is what I'm trying to do: There are 4 columns: data,n1,n2, and n3. I need to get the value of the data column based on criteria using the n1-n3 columns. The most common query is SELECT data FROM table WHERE n1 = ? The problem is that n1 can be only 1 of 5 possiblities. When the table is finished being populated there will be roughly 1.5 million records and 250k for each value of n1. Of course, I have an index on each n column. Right now with just the 800k records it can take over a second, sometimes multiple seconds to run the following in order to get a random row from that subset: SELECT COUNT(1) AS total FROM table WHERE n1 = 3; index = random number from 1 to total SELECT data FROM table WHERE n1 = 3 LIMIT index,1; How can I speed this up? I need it to take less than half a second if possible. Thank you.
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Speed Up Query, Order By Column Is Too Slow!
I have a query that takes ages: SELECT tbl1.a, tbl2.b MATCH (tbl1.a) AGAINST ( 'someValue'IN BOOLEAN MODE ) AS score FROM `a` , `b` WHERE tbl2.b = 'someRestriction' ORDER BY score DESC, b.tbl1 DESC LIMIT 20 but because there are thousands of rows it takes ages to do both of the orders, however just : ORDER BY score LIMIT 20 -- is really quick and : ORDER BY b.tbl1 LIMIT 20 -- is really slow is it possible rearrange a constantly updated database so that its naturally ordered by b.tbl1 (so there will be no need to do the ORDER BY b.tbl1 query each time), or are there any other methods to speed this up (putting it all in one table instead of 2, is that significant?)
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Slow Query Execution With Strange Issue
Right now I am fazing one issue which is getting hell out of me. I am explaining the issues step by step. 1.I have one site running from last 3 years with large database and there is one main table which has maximum load. 2.Now, I have redesigned the site with lots of changes within this table too. 3.the problem is that the server is same, queries are same but output in the new database is taking 50 times more time. I have tried all, compared the structures of the data and table but still the query result is too slow on live testing sever. While same query in main site of same server is running perfectly. Have any one fazed such and issue? Please help me out of the situation as site is ready but I m not able to put new version live.
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Slow SELECT Query INNODB Table
I have a couple hundred connections doing "SELECT [Char36 Field], [LongLong Field], [Long Field] FROM [Connection Specific Table] WHERE [NonIndexed VarChar36 Field]=[Value]". Notice that the table the select statement is being called on is unique to each connection. These tables have less than 10000 records, but this statement can sometimes take over an hour to execute. It is an INNODB table.
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