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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I have a search form that has: - drop down with states (nsw, vic etc) - drop down with all business categories (retail, commercial etc) - keyword / postcode field (2000, or 'builders') The user gets results returned from the business table filtered by state (mandatory), which category is selected (mandatory) and by keyword (optional) or postcode (optional). If keyword / search phrase is given then it will do search of the keywords fields of the business table (has already been indexed) in the selected category only. If postcode it will return all businesses in that category in order of distance from the given postcode. I have 5 tables (additional fields ommitted): 'state' state_id, name 'businesses' business_id, keywords, name, postcode, state 'postcodes' fromPostcode, toPostcode, distanceKMS 'categories' category_id, name 'business2category' business_id, category_id Please dont thing i'm just pawning off my work here!! Basically, i've got this working already, but only just, and in a very long and convulted format. Its far too long to post here, but since i'm not fully versed in table joins, i've been searching individual tables (e.g. SELECT *,MATCH AGAINST etc), building arrays, searching arrays again, and then building results at the end to fit into the paginator. Now the search is taking too long to perform, and i need a leaner alternative. not to mention theres way too many lines of code, and i just know theres a better way. There must be a very simple way to achieve the following searches using table joins, can anybody please help me with 3 search examples below so i can try to understand joins better? Search 1: State + Category only Search 2: State + Category + Keyword Search 2: State + Category + Postcode If there is no postcode, the others still need to display the data filtered by distance from a default postcode of 2000. I'd really appreciate if anybody has a few minutes free to help out here, and hopefully teach me something about effective table joins and searching. I've omitted the extra fields and tables from the real structure, and just left the relevant ones above - if theres anyhing missing or not making sense please let me know and i'll fix up asap.
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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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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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VER VERY VERY Slow MySQL Query HELP URGENTLY NEEDED
I have the following MySQL query, but it is VERY VERY slow and seems to be crashing the server. There are 300,000+ records in the 'tracker' table. SELECT sites.*, SUM(if(tracker.type='view',1,0)) AS numberOfViews, SUM(if(tracker.type='click',1,0)) AS numberOfClicks, SUM(tracker.revenue) AS totalRevenue FROM sites LEFT JOIN tracker ON tracker.site_id = sites.id GROUP BY sites.id ORDER BY sites.domain_name
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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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Slow Execution For A Left Outer Join Query
Whats likely to be the cause of slow execution for a left outer join query? The original query joins three tables but even if I narrow it down to one it still takes a long time to execute. $query = "select distinct materials.* from materials"; $query .= " left outer join materials_products on materials.material_id = materials_products.material_id"; There's 914 rows in the materials table and 1348 row in the materials_products table Is it likely to take a long time for this amount of data or is there likely to be a problem in the table(s) set up or query?
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Very Slow Table Update
I have two tables. One is really a subset of the other. However, they came in different data files and I would like to pull data from one and put it into the other. However, it is VERY slow! Once the tables are setup I will only read from them and perform operations. I will never update or insert. However, I can't get things setup to that point. Code:
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Table Gets Slow At Around 60k Records
I've a table that starts getting slow with count(val) and select ... order by when it has around 60k records. Table type is innodb Strange enough, at 50k records the response time is great, but looks like it grows exponentially after that. Its something like 50k records - 0.2 seconds for count(val) 60k records - 3 seconds 100k records - 20 seconds I realize order by and count forces mysql to go through the entire table...
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Slow Table Access On Local Machine
I'm running MySQL 4.1.7-nt on my laptop, and I'm accessing it through ODBC (MyODBC-3.51.10-x86-win-32bit). I'm developing a .NET web application, but I don't think that's relevant. I already had the application running OK on my desktop, and when I created the same environment on the laptop, retrieving trivial amounts of data (5 rows) from a table is taking 6 seconds. Updates the same. IN otherwords any table access takes 5 or six seconds. (Table only has about twenty rows in it). I can connect to the database on the laptop from the desktop (i.e - application runs on desktop, retrieves data from laptop - works fine, not noticeably slower than local on desktop. If I connect the other way - application on laptop, database on desktop, it runs just as slowly as locally. The effect is the same whether I connect to 127.0.0.1 or via the machine name. Code:
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Slow FullText Search When Table Grows Constantly
I have a small issue with a web-search engine I'm working on. The main table is constantly growing (1 insert per second, currently 150 000 records) and it has full-text indexes on 2 fields that contain over 20 000 characters on each row. The thing is, as I could observe, that when multiple different full-text searches are made in appropiate period of time, the query doesn't take so much to respond (though i couldn't quite say it's fast), but when no search is made, let's say, for over 2-3 hours, the same query takes up to 30-40 seconds to respond. The query is simple: .....
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