MYSQL select statement conditions - sql

query:
SELECT u.deviceID, u.userName, u.contactNo, u.rating
FROM User u
INNER JOIN TaxiQuery t ON u.deviceID = t.seat1
OR u.deviceID = t.seat2
OR u.deviceID = t.seat3
OR u.deviceID = t.seat4
WHERE t.queryID = 3;
+--------------------------------------+----------+-----------+--------+
| deviceID | userName | contactNo | rating |
+--------------------------------------+----------+-----------+--------+
| 00000000-0000-1000-8000-0016CB8B3C8E | uuuuuu | 55555 | 5 |
+--------------------------------------+----------+-----------+--------+
describe user;
+-----------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-----------+--------------+------+-----+---------+-------+
| deviceID | varchar(100) | NO | PRI | NULL | |
| userName | varchar(100) | YES | | NULL | |
| contactNo | int(11) | YES | | NULL | |
| emailAddr | varchar(100) | YES | | NULL | |
| rating | int(11) | YES | | NULL | |
+-----------+--------------+------+-----+---------+-------+
mysql> describe taxiQuery;
+--------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+--------------+------+-----+---------+----------------+
| queryID | int(11) | NO | PRI | NULL | auto_increment |
| destination | varchar(100) | YES | | NULL | |
| deptTime | varchar(100) | YES | | NULL | |
| startingPt | varchar(100) | YES | | NULL | |
| boardingPass | varchar(100) | YES | | NULL | |
| miscInfo | varchar(100) | YES | | NULL | |
| seat1 | varchar(100) | YES | | NULL | |
| seat2 | varchar(100) | YES | | NULL | |
| seat3 | varchar(100) | YES | | NULL | |
| seat4 | varchar(100) | YES | | NULL | |
+--------------+--------------+------+-----+---------+----------------+
What i want is to display the user's information if they exist in (seat1/seat2/seat3/seat4) in TaxiQuery. But i am only able to output one result when they are suppose to be three.
May i know how do i modify mysql statement to display the user's information when (seat1-4 is the foreign key to the deviceID of User's table) when seat1, seat2, seat3, seat4 contains the deviceID of the users?

As far as I can tell, it should work if you don't do an INNER join. I think the INNER keyword is telling mySQL to only include each source a maximum of once, so it will only use one copy of the TaxiQuery, when you actually need up to four (one per seat).

Related

SQL select to print all host names in Icinga2 hostgroup

select alias from icinga_hosts; prints all the host names in every hostgroup.
select alias from icinga_hostgroups; prints all the hostgroups.
I can't see how to "select select alias from icinga_hosts where icinga_hostgroups is "customer0";
In other words, 'print all the hostnames in hostgroup customer0'.
Do I need a join of some sort? This is MariaDB 5.5. Thanks for any advice.
MariaDB [icinga]> show fields in icinga_hostgroups;
+---------------------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------------+---------------------+------+-----+---------+----------------+
| hostgroup_id | bigint(20) unsigned | NO | PRI | NULL | auto_increment |
| instance_id | bigint(20) unsigned | YES | MUL | 0 | |
| config_type | smallint(6) | YES | | 0 | |
| hostgroup_object_id | bigint(20) unsigned | YES | | 0 | |
| alias | varchar(255) | YES | | | |
| notes | text | YES | | NULL | |
| notes_url | text | YES | | NULL | |
| action_url | text | YES | | NULL | |
| config_hash | varchar(64) | YES | | NULL | |
+---------------------+---------------------+------+-----+---------+----------------+
9 rows in set (0.00 sec)
show fields in icinga_hosts;
+-----------------------------------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------------------------------+---------------------+------+-----+---------+----------------+
| host_id | bigint(20) unsigned | NO | PRI | NULL | auto_increment |
| instance_id | bigint(20) unsigned | YES | MUL | 0 | |
| config_type | smallint(6) | YES | | 0 | |
| host_object_id | bigint(20) unsigned | YES | MUL | 0 | |
| alias | varchar(255) | YES | | | |
| display_name | varchar(255) | YES | | | |
| address | varchar(128) | YES | | | |
select oh.name1 as host_name, ohg.name1 as hostgroup_name
from icinga_hosts h
join icinga_objects oh on h.host_object_id=oh.object_id
join icinga_hostgroup_members hgm on hgm.host_object_id=h.host_object_id
join icinga_hostgroups hg on hg.hostgroup_id=hgm.hostgroup_id
join icinga_objects ohg on hg.hostgroup_object_id=ohg.object_id
where ohg.name1='linux-servers';
You need the icinga_hostgroup_members table like:
SELECT groups.alias AS 'Group',
hosts.alias AS Host
FROM icinga_hosts AS hosts
JOIN icinga_hostgroup_members AS group_members
ON hosts.host_object_id = group_members.host_object_id
JOIN icinga_hostgroups AS groups
ON group_members.hostgroup_id = groups.hostgroup_id
WHERE groups.alias = 'customer0';

MYSQL IN statement result to make INSERT

Two table are populated from a CSV file :
routers:
+------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| type_id | int(11) | YES | MUL | NULL | |
| identificationID | varchar(255) | NO | | NULL | |
| wep | varchar(255) | NO | | NULL | |
| ssid | varchar(255) | NO | UNI | NULL | |
+------------------+--------------+------+-----+---------+----------------+
and
pickups:
+--------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| type_id | int(11) | YES | MUL | NULL | |
| enable | tinyint(1) | YES | | NULL | |
| name | varchar(255) | NO | | NULL | |
| adress | varchar(255) | YES | | NULL | |
| zip | varchar(255) | YES | | NULL | |
| city | varchar(255) | YES | | NULL | |
| googleGeoCode | varchar(255) | YES | | NULL | |
| agent | tinyint(1) | YES | | NULL | |
| userRestricted | tinyint(1) | YES | | NULL | |
| superUserPickup_id | int(11) | YES | UNI | NULL | |
| telephone | varchar(255) | YES | | NULL | |
+--------------------+--------------+------+-----+---------+----------------+
Because everything comes from Excel, I need a SQL code to populate a third table which is
pickup_has_router :
+-----------+----------+------+-----+-------------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+----------+------+-----+-------------------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| router_id | int(11) | YES | MUL | NULL | |
| pickup_id | int(11) | YES | MUL | NULL | |
| timeStamp | datetime | NO | | CURRENT_TIMESTAMP | |
+-----------+----------+------+-----+-------------------+----------------+
For example, I know that below routers have the pickup ID n°1, and I know how to fetch them
SELECT * FROM `routers` WHERE `identificationID` IN(
'UCDDU17805001464',
'UCDDU17805001029',
'UCDDU17805000137',
'UCDDU17805000129',
'UCDDU17805001394'
)
But from the result of above statment, how to loop the INSERT statment which would be something like:
INSERT INTO `pickup_has_router` (`id`, `router_id`, `pickup_id`, `timeStamp`)
WHERE `identificationID` IN(
'UCDDU17805001464',
'UCDDU17805001029',
'UCDDU17805000137',
'UCDDU17805000129',
'UCDDU17805001394'
)
VALUES (NULL, 'router.id', '1', CURRENT_TIMESTAMP);
Thanks for the help.. I have been searching quite a lot and yes SQL is not my best skill :-))))))
insert into `pickup_has_router` (`router_id`, `pickup_id`)
select `id`, 1 from `routers`
where `identificationID` in(
'UCDDU17805001464',
'UCDDU17805001029',
'UCDDU17805000137',
'UCDDU17805000129',
'UCDDU17805001394'
)
When doing an insert, instead of the values clause you can use a select statement, where the columns returned by the select statement match the columns required by the insert.

many to many custom foreign key

i have three tables. like this
mysql> desc users;
+----------------+------------------+------+-----+---------------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------+------------------+------+-----+---------------------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| email | varchar(100) | NO | UNI | NULL | |
| password | varchar(64) | NO | | NULL | |
| remember_token | varchar(100) | YES | | NULL | |
| created_at | timestamp | NO | | 0000-00-00 00:00:00 | |
| updated_at | timestamp | NO | | 0000-00-00 00:00:00 | |
+----------------+------------------+------+-----+---------------------+----------------+
6 rows in set (0.00 sec)
mysql> desc languages;
+-------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| code | varchar(2) | NO | MUL | NULL | |
| name | varchar(100) | NO | | NULL | |
| native_name | varchar(100) | NO | | NULL | |
+-------------+------------------+------+-----+---------+----------------+
4 rows in set (0.00 sec)
mysql> desc user_know_languages;
+---------------+------------------+------+-----+---------------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------+------------------+------+-----+---------------------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| user_id | int(10) unsigned | NO | MUL | NULL | |
| language_code | varchar(2) | NO | MUL | NULL | |
| read_id | int(10) unsigned | NO | | 1 | |
| write_id | int(10) unsigned | NO | | 1 | |
| speak_id | int(10) unsigned | NO | | 1 | |
| created_at | timestamp | NO | | 0000-00-00 00:00:00 | |
| updated_at | timestamp | NO | | 0000-00-00 00:00:00 | |
+---------------+------------------+------+-----+---------------------+----------------+
8 rows in set (0.00 sec)
my User model like this
class User{
public function knowLanguages()
{
return $this->belongsToMany('Language', 'user_know_languages', 'user_id', 'language_code');
}
}
that is generated like this sql
select `languages`.*, `user_know_languages`.`user_id` as `pivot_user_id`, `user_know_languages`.`language_code` as `pivot_language_code` from `languages` inner join `user_know_languages` on `languages`.`id` = `user_know_languages`.`language_code` where `user_know_languages`.`user_id` = ?
i want .... on languages.code = user_know_languages.language_code ... instead of languages.id = user_know_languages.language_code
Any idea ?
Define primary key like this:
// Language model
protected $primaryKey = 'code';

Why is this SQL generating a temporary table and running so slow?

I have the following SQL generated from my Rails app, it is trying to get a list of all auto models that have live adverts in a marketplace app & from mysql:
SELECT `models`.* FROM `models`
INNER JOIN `autos` ON autos.model_id = models.id
INNER JOIN `ads` ON `ads`.id = `autos`.ad_id
WHERE (ads.ad_status_id = 4 AND pub_start_date < NOW() AND pub_end_date > NOW() AND models.manufacturer_id = 50 )
GROUP BY models.id ORDER BY models.name;
When I run an explain, this is what I get:
Id 1 1 1
Select Type SIMPLE SIMPLE SIMPLE
Table models autos ads
Type ref ref eq_ref
Possible Keys PRIMARY,manufacturer_id model_id,ad_id PRIMARY,quick_search,ad_status_id
Key manufacturer_id model_id PRIMARY
Key Length 5 4 4
Ref const concept_development.models.id concept_development.autos.ad_id
Rows 70 205 1
Extra Using where; Using temporary; Using filesort Using where Using where
I cannot understand why the query is generating a temporary table / using file-sort - all of the referenced keys are indexes. Been trying to figure this out for a few days now and getting nowhere.
Any help is very much appreciated!
EXPLAIN models:
+---------------------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------------+-------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(32) | YES | | NULL | |
| manufacturer_id | int(11) | YES | MUL | NULL | |
| vehicle_category_id | int(11) | NO | MUL | 1 | |
| synonym_names | longtext | YES | | NULL | |
+---------------------+-------------+------+-----+---------+----------------+
SHOW INDEXES FROM models:
+--------+------------+---------------------+--------------+---------------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+--------+------------+---------------------+--------------+---------------------+-----------+-------------+----------+--------+------+------------+---------+
| models | 0 | PRIMARY | 1 | id | A | 2261 | NULL | NULL | | BTREE | |
| models | 1 | manufacturer_id | 1 | manufacturer_id | A | 205 | NULL | NULL | YES | BTREE | |
| models | 1 | vehicle_category_id | 1 | vehicle_category_id | A | 7 | NULL | NULL | | BTREE | |
+--------+------------+---------------------+--------------+---------------------+-----------+-------------+----------+--------+------+------------+---------+
MODEL TABLE STATUS:
+--------+--------+---------+------------+------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+---------------------+---------------------+-------------------+----------+----------------+---------+
| Name | Engine | Version | Row_format | Rows | Avg_row_length | Data_length | Max_data_length | Index_length | Data_free | Auto_increment | Create_time | Update_time | Check_time | Collation | Checksum | Create_options | Comment |
+--------+--------+---------+------------+------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+---------------------+---------------------+-------------------+----------+----------------+---------+
| models | MyISAM | 10 | Dynamic | 2261 | 26 | 61000 | 281474976710655 | 84992 | 0 | 2751 | 2010-09-28 18:42:45 | 2010-09-28 18:42:45 | 2010-09-28 18:44:00 | latin1_swedish_ci | NULL | | |
+--------+--------+---------+------------+------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+---------------------+---------------------+-------------------+----------+----------------+---------+
EXPLAIN ADS
+------------------+--------------------------+------+-----+---------------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------------+--------------------------+------+-----+---------------------+----------------+
| id | int(10) | NO | PRI | NULL | auto_increment |
| fp_urn | int(10) | NO | MUL | 0 | |
| user_id | int(10) | NO | MUL | 0 | |
| ad_status_id | int(3) unsigned | NO | MUL | 1 | |
| style_id | int(10) | NO | | 3 | |
| search_tags | varchar(255) | YES | | NULL | |
| title | varchar(255) | NO | | | |
| description | text | YES | | NULL | |
| currency | enum('EUR','GBP') | NO | | EUR | |
| price | decimal(8,2) | NO | MUL | 0.00 | |
| proposal_type | enum('Offered','Wanted') | NO | | Offered | |
| category_id | int(10) | YES | | 0 | |
| contact | varchar(50) | NO | MUL | | |
| area_id | int(10) | NO | | 0 | |
| origin_id | int(10) | NO | | 0 | |
| reject_reason_id | int(3) | NO | | 0 | |
| date_created | timestamp | NO | | 0000-00-00 00:00:00 | |
| last_modified | timestamp | NO | | CURRENT_TIMESTAMP | |
| pub_start_date | datetime | YES | | 0000-00-00 00:00:00 | |
| pub_end_date | datetime | YES | | 0000-00-00 00:00:00 | |
| bumped_up_date | datetime | YES | | 0000-00-00 00:00:00 | |
| state | smallint(6) | YES | | NULL | |
| eproofed | tinyint(1) | NO | | 0 | |
| is_featured | int(1) | NO | | 0 | |
| num_featured_imp | int(10) | YES | | 0 | |
| num_direct_imp | int(10) | YES | | 0 | |
| is_top_listed | int(1) | NO | | 0 | |
| delta | tinyint(1) | NO | | 0 | |
| ext_ref_id | varchar(50) | YES | | NULL | |
| email_seller | tinyint(1) | YES | | 1 | |
| sort_by | int(10) | YES | | 8 | |
| permalink | varchar(500) | YES | | NULL | |
| external_url | varchar(255) | YES | | NULL | |
+------------------+--------------------------+------+-----+---------------------+----------------+
SHOW TABLE STATUS FROM concept_development WHERE NAME LIKE 'ads';
+------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+-------------------------------------------------+---------+
| Name | Engine | Version | Row_format | Rows | Avg_row_length | Data_length | Max_data_length | Index_length | Data_free | Auto_increment | Create_time | Update_time | Check_time | Collation | Checksum | Create_options | Comment |
+------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+-------------------------------------------------+---------+
| ads | InnoDB | 10 | Compact | 656350 | 232 | 152748032 | 0 | 87736320 | 340787200 | 1148382 | 2010-09-29 09:55:46 | NULL | NULL | utf8_general_ci | NULL | checksum=1 delay_key_write=1 row_format=DYNAMIC | |
+------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+-------------------------------------------------+---------+
SHOW INDEXES FROM ADS
+-------+------------+-----------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+-------+------------+-----------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
| ads | 0 | PRIMARY | 1 | id | A | 521391 | NULL | NULL | | BTREE | |
| ads | 1 | NewIndex1 | 1 | ad_status_id | A | 15 | NULL | NULL | | BTREE | |
| ads | 1 | NewIndex1 | 2 | pub_end_date | A | 260695 | NULL | NULL | YES | BTREE | |
| ads | 1 | NewIndex1 | 3 | category_id | A | 521391 | NULL | NULL | YES | BTREE | |
| ads | 1 | NewIndex1 | 4 | style_id | A | 521391 | NULL | NULL | | BTREE | |
| ads | 1 | NewIndex2 | 1 | user_id | A | 130347 | NULL | NULL | | BTREE | |
| ads | 1 | NewIndex3 | 1 | price | A | 7667 | NULL | NULL | | BTREE | |
| ads | 1 | contact | 1 | contact | A | 260695 | NULL | NULL | | BTREE | |
| ads | 1 | fp_urn | 1 | fp_urn | A | 521391 | NULL | NULL | | BTREE | |
+-------+------------+-----------+--------------+--------------+-----------+-------------+----------+--------+------+------------+---------+
EXPLAIN autos
+-------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------+-----+-------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------+-----+-------------+----------------+
| id | int(10) | NO | PRI | NULL | auto_increment |
| ad_id | int(10) | YES | MUL | NULL | |
| style_id | int(10) | YES | MUL | NULL | |
| manufacturer_id | int(10) | NO | MUL | NULL | |
| model_id | int(10) | NO | MUL | NULL | |
| registration | varchar(10) | YES | | NULL | |
| year | int(4) | YES | | NULL | |
| fuel_type | enum('Petrol','Diesel') | NO | | Petrol | |
| colour | varchar(75) | YES | | NULL | |
| mileage | varchar(25) | NO | | Not Entered | |
| mileage_units | enum('mls','kms') | NO | | mls | |
| num_doors | varchar(25) | NO | | Not Entered | |
| num_owners | int(2) | YES | | NULL | |
| engine_size | varchar(10) | YES | | NULL | |
| transmission_type | enum('Manual','Automatic') | NO | | Manual | |
| body_type | enum('Saloon','Hatchback') | NO | | Saloon | |
| condition | varchar(75) | NO | | NA | |
| extra_features | text | YES | | NULL | |
| tax_expiry | varchar(7) | YES | | NULL | |
| nct_expiry | varchar(7) | YES | | NULL | |
| variation | text | YES | | NULL | |
| tax_class | enum('Agricultural','Bus') | NO | | Private | |
| co2 | int(9) | YES | | NULL | |
+-------------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------+-----+-------------+----------------+
SHOW TABLE STATUS FROM concept_development WHERE NAME LIKE 'autos'
+-------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+-------------------------------------------------+---------+
| Name | Engine | Version | Row_format | Rows | Avg_row_length | Data_length | Max_data_length | Index_length | Data_free | Auto_increment | Create_time | Update_time | Check_time | Collation | Checksum | Create_options | Comment |
+-------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+-------------------------------------------------+---------+
| autos | InnoDB | 10 | Compact | 196168 | 136 | 26804224 | 0 | 26279936 | 340787200 | 485405 | 2010-09-17 22:09:45 | NULL | NULL | utf8_general_ci | NULL | checksum=1 delay_key_write=1 row_format=DYNAMIC | |
+-------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+-------------------------------------------------+---------+
show indexes from autos;
+-------+------------+-----------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+-------+------------+-----------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+
| autos | 0 | PRIMARY | 1 | id | A | 294937 | NULL | NULL | | BTREE | |
| autos | 1 | ad_id | 1 | ad_id | A | 294937 | NULL | NULL | YES | BTREE | |
| autos | 1 | style_id | 1 | style_id | A | 10 | NULL | NULL | YES | BTREE | |
| autos | 1 | manufacturer_id | 1 | manufacturer_id | A | 194 | NULL | NULL | | BTREE | |
| autos | 1 | model_id | 1 | model_id | A | 830 | NULL | NULL | | BTREE | |
+-------+------------+-----------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+
From the MySQL documentation:
Temporary tables can be created under conditions such as these:
* If there is an ORDER BY clause and a different GROUP BY clause, or if the ORDER BY or GROUP BY contains columns from tables other than the first table in the join queue, a temporary table is created.
http://dev.mysql.com/doc/refman/5.1/en/internal-temporary-tables.html
Change all the text columns to varchar. If you need to maintain them as "text", you'll need to snowflake the schema and exclude the description tables from this query.
If any of the columns in any of the tables are text or blob, MySQL automatically creates an on-disk temporary table, rather than an in-memory temporary table. The temporary table itself isn't killing you, it's the fact that it's writing it to the disk.
http://dev.mysql.com/doc/refman/5.1/en/internal-temporary-tables.html
Some conditions prevent the use of an in-memory temporary table, in which case the server uses an on-disk table instead:
Presence of a BLOB or TEXT column in the table
You have a index on pub_end_date, but not on pub_start_date and your WHERE clause references both.
It looks like it is not using the pub_end_date index, but this could be because it needs to check pub_start_date as well.
This isn't explaining why but how about you rewrite your query to not use a group by? I think you're just joining on those tables to ensure there exists an ad of interest. So how about:
SELECT `models`.*
FROM `models`
WHERE models.manufacturer_id = 50
AND EXISTS ( SELECT * FROM `autos`
INNER JOIN `ads` ON `ads`.id = `autos`.ad_id
WHERE autos.model_id = models.id
AND ads.ad_status_id = 4
AND ads.pub_start_date < NOW()
AND ads.pub_end_date > NOW()
)
ORDER BY models.name;
The performance issues might be related to the group by, in which case this would improve performance.
Maybe it'd look a bit nicer with and NOW() between ads.pub_start_date and ads.pub_end_date, if you're allowed to do that in mysql (and if it works how you want with the edge cases).

MySQL ignores my index

I'm running the following query in MYSQL
select distinct straight_join
cu.entryid entryid,
t0.tokpos starting_position,
t3.tokpos ending_position,
t0.idxsent idxsent,
'TOKENS_44_340' tablename
from
TOKENS_44_340 t0,
constraints_appraisal cu,
TOKENS_44_340 t1,
TOKENS_44_340 t2,
TOKENS_44_340 t3
where
t0.token_surface = cu.token_0
and (cu.pos_0 is null OR t0.penntag like concat(cu.pos_0,'%'))
and t1.token_surface = cu.token_1
and (cu.pos_1 is null OR t1.penntag like concat(cu.pos_1,'%'))
and t2.token_surface = cu.token_2
and (cu.pos_2 is null OR t2.penntag like concat(cu.pos_2,'%'))
and t3.token_surface = cu.token_3
and (cu.pos_3 is null OR t3.penntag like concat(cu.pos_3,'%'))
and t0.tokpos = t1.tokpos - 1
and t1.tokpos = t2.tokpos - 1
and t2.tokpos = t3.tokpos - 1
and cu.token_4 is null
and cu.token_5 is null
and cu.token_6 is null
and cu.token_7 is null
and cu.token_8 is null
and cu.token_9 is null;
MySQL gives me the following query plan for this query:
+----+-------------+-------+------+---------------------------------------+------------------------+---------+------+------+-----------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+---------------------------------------+------------------------+---------+------+------+-----------------+
| 1 | SIMPLE | t0 | ALL | PRIMARY,TOKENS_44_340_index_44,tokpos | NULL | NULL | NULL | 49 | Using temporary |
| 1 | SIMPLE | cu | ALL | NULL | NULL | NULL | NULL | 7907 | Using where |
| 1 | SIMPLE | t1 | ref | PRIMARY,TOKENS_44_340_index_44,tokpos | TOKENS_44_340_index_44 | 399 | func | 4 | Using where |
| 1 | SIMPLE | t2 | ref | PRIMARY,TOKENS_44_340_index_44,tokpos | TOKENS_44_340_index_44 | 399 | func | 4 | Using where |
| 1 | SIMPLE | t3 | ref | TOKENS_44_340_index_44 | TOKENS_44_340_index_44 | 399 | func | 4 | Using where |
+----+-------------+-------+------+---------------------------------------+------------------------+---------+------+------+-----------------+
5 rows in set (0.00 sec)
As you can see, MySQL doesn't even so much as acknowledge the existance of my index token_0 on constraints_appraisal(token_0). Any idea why it's ignoring my index, and what I can do about it? I'm running mysql 5.0.51a-24+lenny4 for Debian stable.
P.S. I know I could make this query run faster by removing the straight_join constraint and let it use the token_surface index on t0, but it still wouldn't be as fast as it could be using the token_0 index on constraints_appraisal. I added the straight_join so that I could make my specific issue appear more clearly, and I plan remove it when I have the index working properly.
mysql> describe TOKENS_44_340;
+---------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------------+--------------+------+-----+---------+-------+
| tokPos | int(11) | NO | PRI | NULL | |
| linePos | int(11) | YES | | NULL | |
| EOLs | int(11) | YES | | NULL | |
| idxsent | int(11) | YES | | NULL | |
| possent | int(11) | YES | | NULL | |
| brilltag | int(11) | YES | | NULL | |
| token_surface | varchar(132) | YES | MUL | NULL | |
| wordLen | int(11) | YES | | NULL | |
| capitalized | int(11) | YES | | NULL | |
| wordType | int(11) | YES | | NULL | |
| numDigit | int(11) | YES | | NULL | |
| numPunc | int(11) | YES | | NULL | |
| numAlpha | int(11) | YES | | NULL | |
| maxRep | int(11) | YES | | NULL | |
| pre1 | varchar(132) | YES | | NULL | |
| pre2 | varchar(132) | YES | | NULL | |
| pre3 | varchar(132) | YES | | NULL | |
| pre4 | varchar(132) | YES | | NULL | |
| suf1 | varchar(132) | YES | | NULL | |
| suf2 | varchar(132) | YES | | NULL | |
| suf3 | varchar(132) | YES | | NULL | |
| suf4 | varchar(132) | YES | | NULL | |
| dep_gov | int(11) | YES | MUL | NULL | |
| dep_rel | varchar(20) | YES | MUL | NULL | |
| penntag | varchar(30) | YES | | NULL | |
+---------------+--------------+------+-----+---------+-------+
25 rows in set (0.04 sec)
mysql> describe constraints_appraisal;
+---------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------------+--------------+------+-----+---------+-------+
| entryid | int(11) | NO | PRI | 0 | |
| context | varchar(50) | YES | | NULL | |
| syntax | int(11) | YES | | NULL | |
| token_0 | varchar(50) | YES | MUL | NULL | |
| pos_0 | varchar(50) | YES | | NULL | |
| porter_0 | varchar(50) | YES | MUL | NULL | |
| token_1 | varchar(50) | YES | | NULL | |
| pos_1 | varchar(50) | YES | | NULL | |
| porter_1 | varchar(50) | YES | | NULL | |
| token_2 | varchar(50) | YES | | NULL | |
| pos_2 | varchar(50) | YES | | NULL | |
| porter_2 | varchar(50) | YES | | NULL | |
| token_3 | varchar(50) | YES | | NULL | |
| pos_3 | varchar(50) | YES | | NULL | |
| porter_3 | varchar(50) | YES | | NULL | |
| token_4 | varchar(50) | YES | | NULL | |
| pos_4 | varchar(50) | YES | | NULL | |
| porter_4 | varchar(50) | YES | | NULL | |
| token_5 | varchar(50) | YES | | NULL | |
| pos_5 | varchar(50) | YES | | NULL | |
| porter_5 | varchar(50) | YES | | NULL | |
| token_6 | varchar(50) | YES | | NULL | |
| pos_6 | varchar(50) | YES | | NULL | |
| porter_6 | varchar(50) | YES | | NULL | |
| token_7 | varchar(50) | YES | | NULL | |
| pos_7 | varchar(50) | YES | | NULL | |
| porter_7 | varchar(50) | YES | | NULL | |
| token_8 | varchar(50) | YES | | NULL | |
| pos_8 | varchar(50) | YES | | NULL | |
| porter_8 | varchar(50) | YES | | NULL | |
| token_9 | varchar(50) | YES | | NULL | |
| pos_9 | varchar(50) | YES | | NULL | |
| porter_9 | varchar(50) | YES | | NULL | |
| token_surface | varchar(200) | YES | | NULL | |
| fileid | varchar(100) | YES | | NULL | |
+---------------+--------------+------+-----+---------+-------+
35 rows in set (0.06 sec)
mysql> show index from constraints_appraisal;
+-----------------------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment |
+-----------------------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
| constraints_appraisal | 0 | PRIMARY | 1 | entryid | A | 7907 | NULL | NULL | | BTREE | |
| constraints_appraisal | 1 | token_0 | 1 | token_0 | A | NULL | NULL | NULL | YES | BTREE | |
| constraints_appraisal | 1 | porter_0 | 1 | porter_0 | A | NULL | NULL | NULL | YES | BTREE | |
+-----------------------+------------+----------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+
3 rows in set (0.05 sec)
It appears that the problem is that the two tables are in different character sets.
TOKENS_44_340 is in utf8
constraints_appraisal is in latin1