Why Does The Slow Query Log Show More Rows Than Exist?

What Query To Check If Any Rows Exist Satisfying WHERE Clause?
I'm looking for a query that will check if any rows exists in a table according to a WHERE condition. I know I can use COUNT(*) but then mysql will do unnecessary task of counting all the rows whereas I just need true or false. So far I did this:

SELECT COUNT(*) AS exists FROM mytable WHERE ...
Sometimes I just select the first row and check later in php how many rows have been returned:

SELECT some_col FROM mytable WHERE ... LIMIT 1
But I cannot do this check (or can I?) in sql alone and I have problems when I want to use this in a subquery, for example:

SELECT id,
name,
(SELECT COUNT(*) FROM mytable WHERE ...) AS exists
FROM othertable
WHERE surname='xxx'
Can I do the same without using COUNT(*)? I would like a query that returns 0 or NULL if no rows were found, or 1 (or some other value) if 1 or more rows were found.

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Query With 3.3million Rows Is Slow?
I'm not that great with MySQL...so I was hoping someone could help me out.
The query I'm running is too slow...can anyone tell me what I can do to
speed it up..if I can at all? I was wondering if because ZipListMatrix has
3.3 million rows that 8 seconds is all the faster it's going to be. Any
help is greatly appreciated! I have already "optimized" the tables.

---

Incrementing Rows That May Not Exist
I'm sure there's a very simple solution to this, I just haven't been able to find one I understand yet.

I have a table with 3 columns, the first two are used as an index, and the third is a counter. So far so good:

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Joins To Rows That Don't Exist
I want to join two tables together, but if the secondary table doesn't have a row that matches, I want the primary table's row to still be returned, with the values for the secondary row being their default values. How do I accomplish that?

For example:

if I have two tables:

t1: defaults:(a=0,b=0)
+---+---+
| a | b |
+---+---+
| 1 | 3 |
| 2 | 4 |
+---+---+

t2: defaults:(a=0,c=0)
+---+---+
| a | c |
+---+---+
| 1 | 7 |
| 3 | 8 |
+---+---+

I want to execute a query like:
SELECT t1.a,t1.b,t2.c FROM t1 JOIN t2 USING(a)

But I want the result set to be
+---+---+---+
| a | b | c |
+---+---+---+
| 1 | 3 | 7 |
| 2 | 4 | 0 |
+---+---+---+

---

Selecting Rows From One Table With A Key That Doesn't Exist In Another.
I'm trying to select rows from one table that does not have a key in another table.

For instance:

I have a hospital table with two columns, id and name.

I have a patients table with three columns, id, name, and locationid.

Now I want to find those hospitals that have no patients. So I want to get those hospitals whos id does not equal any of the locationid's in the patients table.

---

Slow Count(*) On Many Indexed Rows
we have a 10 million rows table. One field 'stamped' is either 'yes' or 'no'.
About half the rows are 'yes' and half are 'no'.
Table is indexed on 'stamped'.
We just need the count on 'yes'.

SELECT count(*) from T where stamped='yes'

or <>'no' or >'n'... is very slow.

Is there a better approach / query to get a fast result?

---

Show Rows With No Matching Fields
here is my query which probably needs some more advanced join statements:

select * from orders o, customers c, orders_styles os, styles s where o.customers_id = c.customers_id and os.orders_id = o.orders_id and os.styles_id = s.styles_id group by o.orders_id

the problem is that sometimes, because of user input, there will be no matching fields in the tables orders_styles or styles (no rows with matching orders_id exists in table orders_styles to table orders). I still want to show these rows however. Right now, as you can see it only displays rows that have matching rows in orders_styles and styles.

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Show Rows With Result 0 For Aggregate Functions
have a query like this:
SELECT C.idc, C.name, count(CM.idm)
from C, CM
where C.IDC=CM.IDC and CM.idci is null and C.type='class' GROUP BY C.IDC

The result table only contains the elements of table C where the count() is >0.

How can I obtain a result table that contains all elements of table C with their count (either 0 or >0) ?

---

Query Based On 'does Not Exist' Condition
Let's say I have a table called 'forumtopics' with a field representing the topic author's username. I then have another table called 'ignorelist' which has two fields; one is an account number and the other a reference to the aforementioned author. There can be many ignored authors for any one account.

For any given account number, I'd like all the rows from the forumtopics table where there is no match for (account, author) held in the ignorelist table. Obviously it's easy to check for existence but can the opposite be done?

I run MySQL 4.0.17.

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Query Based On 'does Not Exist' Condition
Let's say I have a table called 'forumtopics' that contains a field representing the topic's author. I then have another table called 'ignorelist' which has two fields; one represents another user and the other a reference to the aforementioned author. There can be many ignored authors for any one user.

For any given user, I'd like all the rows from the forumtopics table where there is no match for (user, author) held in the ignorelist table. Obviously it's easy to check for existence, but can the opposite be done in a single query?

I run MySQL 4.0.17.

---

Delete Rows From Table A, Which Dont Exist In Table B (base On Column X)
I have 2 tables identically structured.

A & B

Table A, has column: Product (product code) as primary key

Table B doesn't.

Apart from that they have the exact same fields.

There's also a column: supplier

I want to

Delete * from table A, where does not exist in B (based on column: Product) & where supplier = apples

So to elaborate. Table A is my main table, but it now contains outdated products from supplier apple. Table B has the latest list of products from supplier apple. So I want to remove old products from A that supplier apple no longer makes.

mysql version 4.0.27

---

Slow Query
i have this query on a website/webapp that has expanded beyond all expectation. It now takes nearly 30secs to return results from the database

SELECT cl_t.Client_ID, Buyer_1_Title, Buyer_1_Prename,
Buyer_1_Surname, Tel_No, Mob_No, Buyer_2_Title,
Buyer_2_Prename, Buyer_2_Surname, Email_Add,
Price_Max, MAX(activity_t.Date) AS lastcomm
FROM cl_t
INNER JOIN cl_want_t
ON cl_t.Client_ID = cl_want_t.Client_ID
AND Agency_Code ='$agencyloggedincode'
AND Deleted = 'N'
LEFT JOIN activity_t
ON Buy_Sell = 'B'
AND Ref_No = cl_t.Client_ID
WHERE cl_t.Sales_Agent_ID = $agentid
GROUP BY cl_t.Client_ID
ORDER BY $order
The problem is the call to MAX(activity_t.Date) AS lastcomm

activity_t holds all known contact with all known clients and as such is a very large table, the call to search through all of these records and return only the date of the last entry for this client is taking the time. If I remove this from the query I get results in 3 seconds.

I have indexing on activity_t.Date & activity_t.Ref_No

Question, is there a way of doing this quicker within the table I already have, or should I create another table that just holds the last update date for each client, and get the date from this much smaller table.

---

Why Is This Query Too Slow?
I find this query to be exceptionally slow(around 2.5 seconds), could some tell me why this is so?

MySQL
SELECT st.profile_views,count( DISTINCT p.ID ) news_submitted, count( DISTINCT pv.ID ) news_voted, count( DISTINCT pcom.ID ) news_commented, u.joined, u.weight FROM users u LEFT JOIN posts p ON p.submitted_user_id = u.user_id LEFT JOIN post_votes pv ON pv.user_id = u.user_id LEFT JOIN post_comments pcom ON pcom.user_id = u.user_id LEFT JOIN stats st ON st.user_id=u.user_id WHERE u.user_id='john' GROUP BY u.user_id
I traced the cause to this line
count( DISTINCT p.ID ) news_submitted (from LEFT JOIN posts p ON p.submitted_user_id=u.user_id)
But when i execute something like this

MySQL
SELECT count( DISTINCT p.ID ) news_submitted FROM posts WHERE submitted_user_id='john'
it is quite fast (around 0.03 seconds)
So why does it slow down when i'm joining the above query with 3 other tables ?
Should i use INTEGER for user_id instead of string like 'john'?

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Slow Query Log
my slow log is catching a slow query, however the timestamp for the query is "0". I also placed a timestamp on the query to echo out to the results page, and it is about 4 thousands of a second. Why is it showing in the slow log?

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Slow Query Using NOT IN
I am migrating a MSSQL server to MySQL. I know the following SQL is valid for both servers, but MSSQL finishes execution of the query almost instantly, and MySQL has been running the query for the past ten minutes and still is not finished. There is basically the same amount of data in each database. Does anyone know ....

---

Slow Query
I have a query that is running really slow !!!!
I have joined on Key fields and indexed the tables fully but it is still solw.
--------------------------------------------

select d.id, a.signed, u.Forename, u.Surname, d.paid, p.date, d.payment, p.amount, d.acctual
from details d
join poten a
on a.id = d.id
left join recieved p
on d.id = p.id
left join users u
on a.signed = u.userid
where d.paid > '01-Dec-2005'
and d.authorrceived is not null
and d.authorrefused is null
and ((d.payment starting 'E' or
d.payment starting 'e') or
(d.payment starting 'Q' or
d.payment starting 'q' and
p.target = '500'))
order by d.paid, a.signed, d.id

---

Slow Update Query
I have about 2000 update queries to do, which takes about 1 hr on 250,000 rows.
My table is getting kinda slow here is the query i am using
UPDATE nametable SET
sectionname = replace(sectionname,'".$oldsec."','".$sec."'),
categoryname = replace(categoryname,'".$oldcat."','".$cat."'), published=&#391;'
where sectionname='".$oldsec."'
and categoryname='".$oldcat."' ;

I am wondering if the same thing is possible with an insert... on duplicate key statement?

I cant seem to get the insert statement to work, but not even sure whether it is appropriate.

With this query I am basically finding and replacing some columns based upon another table (within the php script I am using)

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Slow Query Log Files
I have edited my.ini file to create a file called slow queries. My problem is that when the server starts up i do not get a full list of all slow queries. Is there anything else i need to change? How else can i come about in getting all queries that took a long time to execute? im using mySQL 5.0.9.

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Slow Query Log Not Staying On
I'm running MySQL 4.0.16 on Windows 2003. I just added the mysqld-nt
command line option to enable the slow query log, started MySQL, and the
option showed up as turned on. Then later I restarted the server, and the
slow query log option went back to being turned off. Is this a Windows
problem in not remembering the service parameter? Has anyone else seen
this?

---

View Slow Query Log
I searched here, google and MySQL docs but did not find an answer.
I'm using MySQL-Front from a Windows platform to administer a remote database. The remote server doesn't have phpMyAdmin or anything like that.
MySQL-Front reports 133 Slow Queries and an average of 15 queries per second. But I dont' know how get more information than that.

---

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.

---

Turning On Slow Query Logging?
Background: I paid a young admin set me up on a database server. He installed the basic I needed for the server...at my request...No Cpanel...mysql and apache and some tight security w/o even a domain name to SSH into. Unfortunately, he's a busy kid, and teens sometimes don't realize that people depend on them...and well, I can't really seem to get him to do much so I gave up and figured it's a good way to force me to learn all this myself...
Well anyway, now I want to turn on Slow Query logging. But before I do that, I need to know how MySQL is running. Is SQLogging turned on already? Where is it logging to? So first thing I want to look up is, when the server is rebooted, what's the command to restart mysql? No clue. How do I change the setting? And of course, the server is production, so when I make the change, it needs to be quick, it needs to be smooth, and I need to be able to roll back to the previous config if necessary.
I'm running Redhat Enterprise.

---

Help Rewriting A Slow Phpbb Query
I have a "glance" or "Recent Topics" list on my forums that have become fairly complex. I modified an already feature rich glance mod to allow users to select individual forums to exclude from showing topics in the list. As well when users are members of certain forum groups, they see topics from the group forum in the list, and they are highlighted a different colour.

The main SQL query to create the list often is showing up in the MySQL Slow_query log and I'm pretty sure is the main cause for the page loading slow.

I am no mysql Guru, so I thought I would seek the advice of some to improve or totaly rewrite this slow query.

PHP

$sql = "SELECT     
    f.forum_id, f.forum_name, t.topic_title, t.topic_id, t.topic_last_post_id, t.topic_poster, t.topic_views, t.topic_replies, t.topic_type,
    p2.post_time, p2.poster_id,
    u.username as last_username,
    u2.username as author_username
FROM "
    . FORUMS_TABLE . " f, "
    . POSTS_TABLE . " p, "
    . TOPICS_TABLE . " t, "
    . POSTS_TABLE . " p2, "
    . USERS_TABLE . " u, "
    . USERS_TABLE . " u2                
WHERE
    f.forum_id NOT IN (" . $forumsignore . $glance_recent_ignore . ")
    AND t.forum_id = f.forum_id
    AND p.post_id = t.topic_first_post_id
    AND p2.post_id = t.topic_last_post_id
    AND t.topic_moved_id = 0
    AND p2.poster_id = u.user_id
    AND t.topic_poster = u2.user_id
ORDER BY t.topic_last_post_id DESC";
$sql .= ($glance_recent_offset) ? " LIMIT " . $glance_recent_offset . ", " . $glance_num_recent : " LIMIT " . $glance_num_recent;


The "NOT IN" list varies per user, but here is an example:
NOT IN (77,75,76,25,26,37,63,64,66,67,67,1,25,26,37,70,28,75,76,78)

---

Slow Query W/ Join & Ordering
I am trying to figure out why I have a hugely slow query (~2 seconds in my testing environment). Details are below:

It involves two tables, products and vendors.

Products is a huge table, so I will only include the (ostensibly!) relevant fields in its description:

CREATE TABLE `products` (
`id` int(11) NOT NULL auto_increment,
`vendor_id` smallint(6) NOT NULL default &#390;',
`product_code` varchar(255) NOT NULL default '',
`internal_name` varchar(255) NOT NULL default '',
`lastmodified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,

PRIMARY KEY (`id`),
UNIQUE KEY `product_code` (`product_code`),
KEY `vendor_id` (`vendor_id`)
) ENGINE=MyISAM;
Vendors are much more straightforward:



CREATE TABLE `vendors` (
`id` smallint(6) NOT NULL auto_increment,
`name` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM;
The following query executes in no MORE than 0.01 seconds:


SELECT DISTINCT p.id
, p.product_code
, unix_timestamp(p.lastmodified) as lastmodified
, p.internal_name
FROM products as p
ORDER BY p.product_code ASC
LIMIT 0, 30;
And has the following attributes:

+----+-------------+-------+-------+---------------+--------------+---------+------+-------+-----------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+--------------+---------+------+-------+-----------------+
| 1 | SIMPLE | p | index | NULL | product_code | 257 | NULL | 25124 | Using temporary |
+----+-------------+-------+-------+---------------+--------------+---------+------+-------+-----------------+
When I join with the vendors table, so that I can fetch the vendor's name for each product, I use the following query, which takes about 1.88 seconds:



SELECT DISTINCT p.id
, p.product_code
, unix_timestamp(p.lastmodified) as lastmodified
, p.internal_name
, v.name as vendor_name
FROM products as p
LEFT JOIN vendors as v ON v.id=p.vendor_id
ORDER BY p.product_code ASC
LIMIT 0, 30;
It has the following characteristics:

+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
| 1 | SIMPLE | p | ALL | NULL | NULL | NULL | NULL | 25124 | Using temporary; Using filesort |
| 1 | SIMPLE | v | eq_ref | PRIMARY | PRIMARY | 2 | te_inventory.p.vendor_id | 1 | |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
Note the addition of the filesort. I'm unhappy enough about the temporary, which I don't really understand, but the filesort is, I'm fairly sure, killing me.

Closer investigation (or maybe just common sense if you aren't a MySQL newbie like me) shows that the ORDER BY clause is responsible, for when I join without the ORDER BY, my query time goes back down to 0.01 seconds or so:



mysql> explain SELECT DISTINCT p.id
-> , p.product_code
-> , unix_timestamp(p.lastmodified) as lastmodified
-> , p.internal_name
-> , v.name as vendor_name
-> FROM products as p
-> LEFT JOIN vendors as v ON v.id=p.vendor_id
-> LIMIT 0,30;
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
| 1 | SIMPLE | p | ALL | NULL | NULL | NULL | NULL | 25124 | Using temporary |
| 1 | SIMPLE | v | eq_ref | PRIMARY | PRIMARY | 2 | te_inventory.p.vendor_id | 1 | |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
Any clues on how I can get the execution time to go down when I am sorting? I'm also curious why MySQL is using a temporary table,

---

Mysql 5.0 - Using My.cnf - Unix / Slow-query-log
I installed mysql 5.0 and need to set up slow-query-log and other logging options.

Here is what I did. But I dont see it working yet.

1. cd /var/db/mysql
2. chown mysql slowquery.log
3. touch /usr/local/etc/my.cnf
4. chown mysql /usr/local/etc/my.cnf

vi my.cnf

[mysqld_safe]
-u mysql
--log-slow-queries=/var/db/mysql/slowquery.log

so now when I type:

mysqladmin shutdown
and than

mysqld_safe &
my sql restarts but the log files are not being used.
also - how do I know if my my.cnf is being used at all?

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Federated Tables Slow? (like 4.5 Hrs For A Query)
I've got a problem with federated tables. I'm using MySQL 5.1 (with InnoDB as the default table type) on a Win2K server, on which I've got four federated tables pointing at four MyISAM tables on a MySQL 4.1.11 server. Of the four tables, three of them run just fine, and I can retrieve data quickly with no problems. The fourth is a sheer pig. While they have different columns, all four tables are roughly as complex as each other, all having the same features and developed by the same team.

The most obvious difference, and what I suspect might be the problem, is that the first three tables have between 150 and 1,000 records, the fourth table has closer to 15,000. Still, there isn't that much lag when I'm pulling from the smaller tables, and the lag is really serious when I'm pulling from the larger one; I ran three queries last night to test, and I could pull data from the smaller tables in about 5 minutes, but the larger table took 4.5 hours- possibly because it was joined with two other tables, but the joins on the smaller tables didn't cause this kind of problem.

The second obvious difference is the fact that I'm pulling from a MyISAM table into a federated table... from which I would like to store into an InnoDB table, but it ends up timing out quite a bit.

Connecting to the database I've federated to isn't a problem. It responds to a PHP frontend lightning-fast. It's just my federated tables that suck so bad. I wouldn't even use federated tables, but I need to pull from the MyISAM database for storing historical records of inventory. What am I doing wrong, and what can I do to speed things up?

---

Slow Inefficent Query (FIXED)
I have this query which pulls members from a table of 1200 members details, filtering out those without and email address and those that don't want Newsletters, and also any whose email address exists in a second table (emails that have hard bounced previously)

My first attempt took an age and returned about 10,000 members, clearly loads of repeated rows

My 'final' attempt with a DISTINCT shoved in works perfectly but is really slow, PHPAdmin says it takes 1.1s but on the website the data doesn't appear for over 30s, all the other sundry queries on the same table work nice and quick on the same website using the same php to generate the table of results

The googling I've done suggests (to me) that there's nothing wrong with the query but I suspect that there's far too much checking of fields going on from the pre DISTINCT query's results ....

---

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
-------------------------------------
ID | Username | LoggedIn |
-------------------------------------
1 | rdoe | 2004-08-24 12:16:33 |
2 | syeargin | 2004-08-24 12:14:33 |
3 | rdoe | 2004-08-24 12:16:33 |
4 | jking | 2004-08-24 12:16:33 |
6 | jking | 2004-08-24 12:16:33 |
-------------------------------------

My goal is to create a query that returns:

RecordSet: NoLogin
---------------
ID | Username |
---------------
3 | jdoe |
5 | badams |
---------------


My native language for the web site is PHP, but I think I've got a
handle on any other coding needs. All I need is a query.

---

MyOLEDB Show Tables Query
Is there a way to retrieve the names of the tables in a database if you are using the myOLEDB provider in a C# application? Unfortunately Show Tables doesn't seem to work.

---

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....

---

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.....

---

Query To Show Unique Entries
In the table word_list is a list of words. This field is not unique so you can get 3 of the same word (they have different attributes in other fields). How can I alter this query below so that I only get unique entries in the word field (so that the query does not return more than one of the same word).

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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

---

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.

---

Mysql Logs Show Query With T_tablename
select col1 from table1;

shows

select t_table1.col1 from table1;

in the logs.

---

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.

---

How To Show All Records In MYSQL Query Using Default Value
I'm working on somesite and i face this problem:

i want to send a parameter entered by a user from text box that called (txt1) to the query below ....

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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?

---

Can Error Message Show Entire Sql Query Instead Of Excerpt
I'm running MySQL 3.23.58 on Red Hat Linux 9.

In my web server error log I see things like:

[Thu Jan 18 00:33:56 2007] [error] [client 72.86.29.196] DBD::mysql::st
execute failed: You have an error in your SQL syntax near ' (NOW(),
"Setup [precheck] failed for 72.86.29.196 port 1239 [72.86.29.196]
(Con' at line 1 at /var/www/html/blah/mysql-help.pl line 34.

Is there a MySQL setting I can change somewhere so that it will log the
entire SQL query that generated the error, instead of just an excerpt?
It's a lot easier to figure out what went wrong if I can see the whole
query.

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One Field With Multiple Attached Rows, Only Show The Field Once?
I have a table called "Customers", with a field called "Customer name" and a "Customer ID". I have another table called "Projects", with a field called "Project name" and a field called "Customer ID" which references to "Customers"

What i am trying to do is: Select a customer. Select the projects that are related to the customer by comparing the Customer ID field. Code:

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Zero Rows Or One Rows Returned, Same Data And Same Query
I have a query that produces a single row (as I expect) when I run it from the mysql client (mysql 4.0.18-Max/linux, also 5.0.19-standard/OSX-intel), or from sqlgrinder (osx, uses jdbc).

When I run it inside my application (a Java app connecting via jdbc), I get zero rows from this query.

I tried it under phpmyadmin, and once again I get zero rows.

Why do I get inconsistent results? Here's the query:

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MyOLEDB Doesn't Support Commands Like SHOW FIELDS, SHOW TABLES
My code is shown below, I can select * from employees but I cannot get any data back from SHOW FIELDS, I do not receive an error, in fact, something is returned but I'm not sure what. I can execute the command:

SHOW FIELDS FROM test.employees

in the Control Center just fine, even cmd.ExecuteReader will enter reader.Read() once, something is returned but what does it look like? ......

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Ps -fax Show 1 Thread, Others Show 5
Where do I configure "spare servers"???

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Ps -fax Show 1 Thread, Others Show 5
Where do I configure "spare servers"???

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Show/not Show Option
I have a php page that displays pictures. The pictures comes from a mysql database. The way I am creating the recordset to dislpay is "Select * from tblehouse" . Now what I want to do is instead of selecting every picture from the database maybe create a new field that will take in the option of being checked or unchecked. Then have the query select only the "checked" to display. So my question to you guys is how would create a field that takes in a check box and what would be the sql statement to query just the checked records.

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Several Rows From One Query
I've this sql-query...

$sql = "INSERT INTO database (some_kind_of_id, names) VALUES $xxx, $_POST['xxx2']";

The thing is that my post xxx2 are several values that I want inserted on several rows with the values xxx in front...

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Last N Rows Of The Query
SELECT expensive query ORDER BY field ASC;
It generates somewhere around 2.9m rows. I want the last 10:

SELECT expensive query ORDER BY field DESC LIMIT 10

But I want them the other way around. Sure, I can do that programatically, but for "application reasons" I want that done in the query, so what I want to do is along the grounds of

SELECT expensive query ORDER BY field LIMIT 10 OFFSET rows()-10
We're using MySQL 4.0. Is there a way to achieve the above without using a temporary table?

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SQL Query Not Outputing All Rows.
My query doesn't seem to output all 6 rows in the database only two queries and i'm unsure why. I do know it is the query as when i do
SELECT * FROM case_studies
It outputs all rows.
The query i am usign is:
select programs.program_title,
programs.id, case_studies.id,
case_studies.title, case_studies.author,
case_studies.timestamp from case_studies,
programs WHERE programs.id
= case_studies.id
Any ideas?

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Query Help, Comparing Rows
Suppose I have the following data:

+----+----------+-----+-----+-----+-----+-----+-----+-----+
| Id | Time | Sun | Mon | Tue | Wed | Thu | Fri | Sat |
+----+----------+-----+-----+-----+-----+-----+-----+-----+
| 11 | 11:20:00 | F | T | T | T | F | F | F |
| 12 | 11:45:00 | F | T | T | T | F | F | F |
| 14 | 12:10:00 | F | T | T | T | F | F | F |
| 15 | 12:35:00 | F | T | T | T | T | T | F |
| 17 | 13:00:00 | F | T | T | T | T | T | T |
| 18 | 13:25:00 | F | T | T | T | T | T | T |
| 19 | 13:50:00 | F | T | T | T | T | T | T |
| 20 | 11:28:00 | F | T | T | T | T | T | F |
| 21 | 11:53:00 | F | T | T | T | T | T | F |
| 22 | 12:18:00 | F | T | T | T | T | T | F |
+----+----------+-----+-----+-----+-----+-----+-----+-----+
I would like to output the data by day pattern. I need some way to determine that in the above table, Mon-Wed is the same, Thu-Fri is the same and Saturday and Sunday are unique.

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