Good day.
Why date modification in a subquery reduces performance?
This request is fast (0.015 sec):
SELECT p.id, p.name, s.value
FROM points p
LEFT JOIN settings s ON p.id = s.point_id AND s.type_id = 1
WHERE p.parent_id = 1310
AND NOT EXISTS (SELECT 1 FROM events e WHERE e.point_id = p.id AND e.start_at > '2019-09-09 20:00:00')
UPD Explain:
'1', 'PRIMARY', 'p', 'ref', 'idx_parent_id_type', 'idx_parent_id_type', '5', 'const', '29', 'Using where'
'1', 'PRIMARY', 's', 'ref', 'p_id_idx,sid_idx', 'p_id_idx', '4', 'rm_api.p.id', '1', 'Using where'
'2', 'MATERIALIZED', 'e', 'range', 'idx_start_at_end_at,point', 'idx_start_at_end_at', '5', NULL, '3855', 'Using index condition'
This request is slow (~ 18 sec):
SELECT p.id, p.name, s.value
FROM points p
LEFT JOIN settings s ON p.id = s.point_id AND s.type_id = 1
WHERE p.parent_id = 1310
AND NOT EXISTS (SELECT 1 FROM events e WHERE e.point_id = p.id AND e.start_at > DATE_ADD('2019-09-09 20:00:00', INTERVAL COALESCE(s.value, 0) MINUTE))
UPD Explain:
1 PRIMARY p ref idx_parent_id_type idx_parent_id_type 5 const 29
1 PRIMARY s ref p_id_idx,sid_idx p_id_idx 4 rm_api.p.id 1 Using where
2 DEPENDENT SUBQUERY e ref idx_start_at_end_at,point point 4 rm_api.p.id 478 Using index condition; Using where
What can be done?
I doubt that I am using s.value correctly in the subquery
p.s. this request is also fast:
SELECT p.id, p.name, s.value
FROM points p
LEFT JOIN settins s ON p.id = s.point_id AND s.type_id = 1
WHERE p.parent_id = 1310
AND NOT EXISTS (SELECT 1 FROM events e WHERE e.point_id = p.id AND e.start_at > DATE_ADD('2019-09-09 20:00:00', INTERVAL 15 MINUTE))
UPD
Table points:
CREATE TABLE `points` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(160) COLLATE utf8_unicode_ci NOT NULL DEFAULT 'Не указано',
`parent_id` int(10) unsigned DEFAULT 1,
`type` int(11) NOT NULL DEFAULT 0,
`status` int(11) NOT NULL DEFAULT 1,
`created_at` timestamp NOT NULL DEFAULT '1970-12-31 09:00:00',
`updated_at` timestamp NOT NULL DEFAULT '1970-12-31 09:00:00',
`capacity` int(11) NOT NULL DEFAULT 0,
`is_building` int(11) DEFAULT 0,
`is_ews_linked` int(11) NOT NULL DEFAULT 0,
`ews_resource_name` varchar(100) COLLATE utf8_unicode_ci DEFAULT NULL,
`map_name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`other` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`human_name` varchar(100) COLLATE utf8_unicode_ci DEFAULT NULL,
`booking_max_duration` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `idx_parent_id_type` (`parent_id`,`type`)
) ENGINE=InnoDB AUTO_INCREMENT=2958 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
Table settings:
CREATE TABLE `points_settins_types_storage` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`point_id` int(11) unsigned NOT NULL,
`settings_prop_type_id` int(11) unsigned NOT NULL,
`value` varchar(255) CHARACTER SET utf8 NOT NULL DEFAULT '',
PRIMARY KEY (`id`,`settings_prop_type_id`,`point_id`),
KEY `p_id_idx` (`point_id`),
KEY `sid_idx` (`settings_prop_type_id`),
CONSTRAINT `pid` FOREIGN KEY (`point_id`) REFERENCES `points` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `sid` FOREIGN KEY (`settings_prop_type_id`) REFERENCES `points_settings_types` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=1062 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
Table events:
CREATE TABLE `events` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(500) COLLATE utf8mb4_unicode_ci NOT NULL,
`start_at` datetime NOT NULL,
`end_at` datetime NOT NULL,
`point_id` int(11) NOT NULL,
`status` int(11) NOT NULL DEFAULT 0,
`owner_id` int(11) NOT NULL,
`approver_id` int(11) DEFAULT NULL,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
`date` datetime NOT NULL,
`approver_message` varchar(500) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`user_message` varchar(500) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`linked_vks_id` int(11) DEFAULT NULL,
`ews_event_id` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`is_from_exchange` int(11) NOT NULL DEFAULT 0,
`ews_event_change_key` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`content` varchar(10000) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
UNIQUE KEY `id_UNIQUE` (`id`),
KEY `owner_id_k` (`owner_id`),
KEY `idx_start_at_end_at` (`start_at`,`end_at`),
KEY `end_start` (`end_at`,`start_at`) USING BTREE,
KEY `date` (`date`) USING BTREE,
KEY `status` (`status`) USING BTREE,
KEY `point` (`point_id`)
) ENGINE=InnoDB AUTO_INCREMENT=2338492 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
For your query, start with in index on events(point_id, start_at). Perhaps that will help.
Probably not.
If the interval values are always positive, then try this redundant version (with the above index):
WHERE p.parent_id = 1310 AND
NOT EXISTS (SELECT 1
FROM events e
WHERE e.point_id = p.id AND
e.start_at > '2019-09-09 20:00:00' AND
e.start_at > DATE_ADD('2019-09-09 20:00:00', INTERVAL COALESCE(s.value, 0) MINUTE)
)
Yes, this looks silly. But the additional condition should make it easier to MySQL to use the index correctly.
Related
I have such a tables offers and offer_operating_systems related by offer_id. I made two queris and from my understanding they should return same result, but they don't
Query 1:
select
count(*)
from
`offers`
where
(
select count(*)
from `offer_operating_systems`
where
`offer_operating_systems`.`offer_id` = `offers`.`id`
and
`operating_system` = 'android'
) = 1
order by `id` asc
Query 2:
select
count(*)
from offer_operating_systems
where
operating_system = 'android'
order by `id` asc
Can someone explain to me why the results are not the same? Thanks!
EDITED
operating_systemcolumn is unique so each offer can have only one record with adnroid
Table structures
CREATE TABLE `offers` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`type` int(11) NOT NULL DEFAULT '0',
`url` text COLLATE utf8_unicode_ci,
`status` varchar(255) COLLATE utf8_unicode_ci NOT NULL DEFAULT 'pending',
`api_created_at` timestamp NULL DEFAULT NULL,
`api_updated_at` timestamp NULL DEFAULT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
PRIMARY KEY (`id`),
KEY `offers_status_index` (`status`)
) ENGINE=InnoDB AUTO_INCREMENT=423 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
CREATE TABLE `offer_operating_systems` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`offer_id` int(10) unsigned NOT NULL,
`operating_system` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
PRIMARY KEY (`id`),
UNIQUE KEY `offer_operating_systems_offer_id_operating_system_unique` (`offer_id`,`operating_system`),
KEY `offer_operating_systems_offer_id_foreign` (`offer_id`),
CONSTRAINT `offer_operating_systems_offer_id_foreign` FOREIGN KEY (`offer_id`) REFERENCES `offers` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=728 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
I have following mysql query which is taking long time(40s) to load the results.
SELECT SQL_CALC_FOUND_ROWS blog_posts.ID FROM blog_posts
LEFT JOIN blog_term_relationships AS tt0 ON (blog_posts.ID = tt0.object_id)
LEFT JOIN blog_term_relationships AS tt1 ON (blog_posts.ID = tt1.object_id)
LEFT JOIN blog_term_relationships AS tt2 ON (blog_posts.ID = tt2.object_id)
LEFT JOIN blog_term_relationships AS tt3 ON (blog_posts.ID = tt3.object_id)
WHERE 1=1
AND ( ( tt0.term_taxonomy_id IN (141,177) AND tt1.term_taxonomy_id IN (2389,2390) )
OR ( tt2.term_taxonomy_id IN (167,1169,1715) AND tt3.term_taxonomy_id IN (2519,2520) ) )
AND blog_posts.post_type = 'post' AND (blog_posts.post_status = 'publish')
GROUP BY blog_posts.ID ORDER BY blog_posts.post_date ASC LIMIT 0, 20
Is there any way to optimize this query.
Edit:
This is related to wordpress and this query was automatically create from the wp_query.
Table structures as bellow,
blog_posts table:
CREATE TABLE `blog_posts` (
`ID` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`post_author` bigint(20) unsigned NOT NULL DEFAULT '0',
`post_date` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
`post_date_gmt` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
`post_content` longtext NOT NULL,
`post_title` text NOT NULL,
`post_excerpt` text NOT NULL,
`post_status` varchar(20) NOT NULL DEFAULT 'publish',
`comment_status` varchar(20) NOT NULL DEFAULT 'open',
`ping_status` varchar(20) NOT NULL DEFAULT 'open',
`post_password` varchar(255) NOT NULL DEFAULT '',
`post_name` varchar(200) NOT NULL DEFAULT '',
`to_ping` text NOT NULL,
`pinged` text NOT NULL,
`post_modified` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
`post_modified_gmt` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
`post_content_filtered` longtext NOT NULL,
`post_parent` bigint(20) unsigned NOT NULL DEFAULT '0',
`guid` varchar(255) NOT NULL DEFAULT '',
`menu_order` int(11) NOT NULL DEFAULT '0',
`post_type` varchar(20) NOT NULL DEFAULT 'post',
`post_mime_type` varchar(100) NOT NULL DEFAULT '',
`comment_count` bigint(20) NOT NULL DEFAULT '0',
PRIMARY KEY (`ID`),
KEY `type_status_date` (`post_type`,`post_status`,`post_date`,`ID`),
KEY `post_parent` (`post_parent`),
KEY `post_author` (`post_author`),
KEY `post_name` (`post_name`(191))
) ENGINE=MyISAM AUTO_INCREMENT=125636 DEFAULT CHARSET=utf8
blog_term_relationships table:
CREATE TABLE `blog_term_relationships` (
`object_id` bigint(20) unsigned NOT NULL DEFAULT '0',
`term_taxonomy_id` bigint(20) unsigned NOT NULL DEFAULT '0',
`term_order` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`object_id`,`term_taxonomy_id`),
KEY `term_taxonomy_id` (`term_taxonomy_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8
EXPLAIN QUERY:
enter image description here
Reformulate
SELECT SQL_CALC_FOUND_ROWS blog_posts.ID
FROM (
(
SELECT object_id
FROM blog_term_relationships AS tt0
JOIN blog_term_relationships AS tt1 USING(object_id)
WHERE tt0.term_taxonomy_id IN (141,177)
AND tt1.term_taxonomy_id IN (2389,2390)
)
UNION DISTINCT
(
SELECT object_id
FROM blog_term_relationships AS tt2
JOIN blog_term_relationships AS tt3 USING(object_id)
WHERE tt2.term_taxonomy_id IN (167,1169,1715)
AND tt3.term_taxonomy_id IN (2519,2520) )
) AS tt
JOIN blog_posts ON blog_posts.ID = tt.object_id
WHERE blog_posts.post_type = 'post'
AND blog_posts.post_status = 'publish'
ORDER BY blog_posts.post_date ASC
LIMIT 0, 20
This gets rid of the GROUP BY and does several other things to speed up the query.
Prefix index
`post_name` varchar(200) NOT NULL DEFAULT '',
KEY `post_name` (`post_name`(191))
) ENGINE=MyISAM AUTO_INCREMENT=125636 DEFAULT CHARSET=utf8
Make up your mind -- 191 is for version 5.6 with utf8mb4 (which you have not specified); 191 is so close to 200, you may as well make it VARCHAR(191). Getting rid of the prefix index is likely to speed up some of your queries.
InnoDB
Don't use MyISAM, move to InnoDB. That is for performance, robustness, etc. That will coincidentally fix an inefficiency in KEY term_taxonomy_id).
SQL_CALC_FOUND_ROWS
SQL_CALC_FOUND_ROWS is costly. It's purpose is passe.
Mentioned below is the query and the tables its is being run on ...
SELECT * FROM
tfl_acquistions a,
tfl_property_attributes b WHERE
a.id = b.property_id AND
attribute_id ='111' AND
a.id ='53a8288c03a6823';
Table tfl_acquistions
CREATE TABLE `tfl_acquistions` (
`id` VARCHAR(32) NOT NULL DEFAULT '',
`address` VARCHAR(100) NOT NULL DEFAULT '',
`city` VARCHAR(50) NOT NULL DEFAULT '',
`state` VARCHAR(10) NOT NULL DEFAULT '',
`zip` VARCHAR(10) NOT NULL DEFAULT '',
`county` VARCHAR(50) NOT NULL DEFAULT '',
`country` VARCHAR(50) NOT NULL DEFAULT '',
`status` ENUM('Y','N') NOT NULL DEFAULT 'Y',
`customer_case` VARCHAR(25) NOT NULL DEFAULT '',
`circle_id` INT(11) NOT NULL DEFAULT '0',
`visneta_id` VARCHAR(45) NOT NULL DEFAULT '',
`add_date` DATE NOT NULL DEFAULT '0000-00-00',
`apt_no` VARCHAR(10) NOT NULL DEFAULT '',
`profile_picture` VARCHAR(256) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
INDEX `address` (`address`),
INDEX `city` (`city`),
INDEX `state` (`state`),
INDEX `zip` (`zip`),
INDEX `status` (`status`),
INDEX `customer_case` (`customer_case`),
INDEX `circle_id` (`circle_id`),
INDEX `visneta_id` (`visneta_id`)
)
Table tfl_property_attributes
CREATE TABLE `tfl_property_attributes` (
`id` INT(11) NOT NULL AUTO_INCREMENT,
`property_id` VARCHAR(32) NOT NULL,
`attribute_id` INT(11) NOT NULL DEFAULT '0',
`value` VARCHAR(500) NOT NULL DEFAULT '',
`update_date` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`update_by` INT(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
INDEX `attribute_id` (`attribute_id`),
INDEX `property_id` (`property_id`),
INDEX `property_id_2` (`property_id`, `attribute_id`)
)
I am on a task to optimized this query and i am new .... any help is appreciated
Try:
SELECT * FROM
tfl_acquistions a JOIN
tfl_property_attributes b ON a.id = b.property_id WHERE
b.property_id = '53a8288c03a6823' AND b.attribute_id = '111';
This way MySQL will be able to use the index property_id_2 (property_id, attribute_id) you have created on the second table. Currently, it can't use any indexes.
Try putting EXPLAIN keyword in front of queries to see how MySQL plans to perform them, you'll see that your previous query does not use any index.
I need help with a query running slow when using group by:
SELECT `customers`.`id`
,`customers`.`firstname`
,`customers`.`lastname`
,`customers`.`address`
,`customers`.`address_co`
,`customers`.`country`
,`customers`.`zipcode`
,`customers`.`city`
,`customers`.`phone`
,`customers`.`mobilephone`
,`customers`.`ssn`
,`users`.`email`
,`customer_lists`.`name` AS `customerList`
,COUNT( transactions.id ) AS transactions_count
,SUM( transactions.sum_incl ) AS sum_incl
,SUM( transactions.sum_excl ) AS sum_excl
,`customers`.`created_at`
FROM `customers`
INNER JOIN `users`
ON `customers`.`user_id` = `users`.`id`
LEFT JOIN `transactions`
ON `customers`.`id` = `transactions`.`customer_id`
INNER JOIN `customer_lists`
ON `customers`.`customer_list_id` = `customer_lists`.`id`
WHERE `customer_lists`.`club_id` = '1'
GROUP BY `customers`.`id`
ORDER BY `customers`.`created_at` DESC
When I run a EXPLAIN it says Using temporary; Using filesort.
**id** **select_type** **table** **type** **possible_keys** **key** **key_len** **ref** **rows** **Extra**
1 SIMPLE customer_lists ref PRIMARY,club_id_index club_id_index 8 const 1 Using temporary; Using filesort
1 SIMPLE customers ref customers_user_id_foreign,customers_customer_list_... customers_customer_list_id_index 8 kund_workbox_nu.customer_lists.id 867
1 SIMPLE users eq_ref PRIMARY PRIMARY 8 kund_workbox_nu.customers.user_id 1
1 SIMPLE transactions ref customer_id_index customer_id_index 8 kund_workbox_nu.customers.id 3108
How do I fix that?
UPDATE
Tables:
Customers
CREATE TABLE `customers` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`user_id` bigint(20) unsigned NOT NULL,
`customer_list_id` bigint(20) unsigned NOT NULL,
`firstname` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`lastname` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`address` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`address_co` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`country` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`zipcode` varchar(10) COLLATE utf8_unicode_ci NOT NULL,
`city` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`phone` varchar(20) COLLATE utf8_unicode_ci NOT NULL,
`mobilephone` varchar(20) COLLATE utf8_unicode_ci NOT NULL,
`ssn` varchar(15) COLLATE utf8_unicode_ci NOT NULL,
`last_login` datetime NOT NULL,
`added_information` tinyint(1) NOT NULL DEFAULT '0',
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
PRIMARY KEY (`id`),
KEY `customers_user_id_foreign` (`user_id`),
KEY `customers_customer_list_id_index` (`customer_list_id`),
CONSTRAINT `customers_customer_list_id_foreign` FOREIGN KEY (`customer_list_id`) REFERENCES `customer_lists` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `customers_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=29739 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
Transactions
CREATE TABLE `transactions` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`transaction_type_id` bigint(20) unsigned NOT NULL,
`customer_id` bigint(20) unsigned NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`sum_incl` decimal(15,4) NOT NULL,
`sum_excl` decimal(15,4) NOT NULL,
PRIMARY KEY (`id`),
KEY `transactions_customer_id_foreign` (`customer_id`),
KEY `transactions_transaction_type_id_foreign` (`transaction_type_id`),
CONSTRAINT `transactions_customer_id_foreign` FOREIGN KEY (`customer_id`) REFERENCES `customers` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `transactions_transaction_type_id_foreign` FOREIGN KEY (`transaction_type_id`) REFERENCES `transaction_types` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=580116 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
Customer Lists
CREATE TABLE `customer_lists` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`club_id` bigint(20) unsigned NOT NULL,
`name` varchar(90) COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
PRIMARY KEY (`id`),
KEY `customer_lists_club_id_foreign` (`club_id`),
CONSTRAINT `customer_lists_club_id_foreign` FOREIGN KEY (`club_id`) REFERENCES `clubs` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
Perhaps try a single table grouping on transactions as a derived table?
SELECT
`customers`.`id`
, `customers`.`firstname`
, `customers`.`lastname`
, `customers`.`address`
, `customers`.`address_co`
, `customers`.`country`
, `customers`.`zipcode`
, `customers`.`city`
, `customers`.`phone`
, `customers`.`mobilephone`
, `customers`.`ssn`
, `users`.`email`
, `customer_lists`.`name` AS `customerList`
, `trans`.transactions_count
, `trans`.sum_incl
, `trans`.sum_excl
, `customers`.`created_at`
FROM `customers`
INNER JOIN `users` ON `customers`.`user_id` = `users`.`id`
INNER JOIN `customer_lists` ON `customers`.`customer_list_id` = `customer_lists`.`id`
LEFT JOIN (
SELECT
`transactions`.`customer_id`
, COUNT(transactions.id) AS transactions_count
, SUM(transactions.sum_incl) AS sum_incl
, SUM(transactions.sum_excl) AS sum_excl
FROM `transactions`
GROUP BY `transactions`.`customer_id`
) `trans` ON `customers`.`id` = `trans`.`customer_id`
WHERE `customer_lists`.`club_id` = '1'
ORDER BY `customers`.`created_at` DESC
A where clause in that subquery may also help.
Have you tried to create indexes on all the JOIN columns, i.e. customers.user_id, users.id, transactions.customer_id, ... ?
I am a beginner in MySQL and trying to create a join query in MySQL.
My first SQL query is as below which displays the 2 columns votes and post
SELECT votes, post
FROM `wp_votes` where votes!=''
GROUP BY votes,post asc LIMIT 0 , 30
**Second table is where the posts are **
SELECT *
FROM `wp_posts`
LIMIT 0 , 30
What i wanna do is create a join so that it display all records from wp_posts table WHERE wp_post.ID=wp_votes.post, Also have to check if wp_votes.votes!=''
I tried the following but i am stuck on it
SELECT * FROM wp_posts join wp_votes ON wp_posts.ID =wp_votes.post
Table Structure below
CREATE TABLE IF NOT EXISTS `wp_posts` (
`ID` bigint(20) unsigned NOT NULL auto_increment,
`post_author` bigint(20) unsigned NOT NULL default '0',
`post_date` datetime NOT NULL default '0000-00-00 00:00:00',
`post_date_gmt` datetime NOT NULL default '0000-00-00 00:00:00',
`post_content` longtext NOT NULL,
`post_title` text NOT NULL,
`post_excerpt` text NOT NULL,
`post_status` varchar(20) NOT NULL default 'publish',
`comment_status` varchar(20) NOT NULL default 'open',
`ping_status` varchar(20) NOT NULL default 'open',
`post_password` varchar(20) NOT NULL default '',
`post_name` varchar(200) NOT NULL default '',
`to_ping` text NOT NULL,
`pinged` text NOT NULL,
`post_modified` datetime NOT NULL default '0000-00-00 00:00:00',
`post_modified_gmt` datetime NOT NULL default '0000-00-00 00:00:00',
`post_content_filtered` longtext NOT NULL,
`post_parent` bigint(20) unsigned NOT NULL default '0',
`guid` varchar(255) NOT NULL default '',
`menu_order` int(11) NOT NULL default '0',
`post_type` varchar(20) NOT NULL default 'post',
`post_mime_type` varchar(100) NOT NULL default '',
`comment_count` bigint(20) NOT NULL default '0',
PRIMARY KEY (`ID`),
KEY `post_name` (`post_name`),
KEY `type_status_date` (`post_type`,`post_status`,`post_date`,`ID`),
KEY `post_parent` (`post_parent`),
KEY `post_author` (`post_author`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=4570 ;
--
-- Table structure for table `wp_votes`
--
CREATE TABLE IF NOT EXISTS `wp_votes` (
`ID` int(11) NOT NULL auto_increment,
`post` int(11) NOT NULL,
`votes` text NOT NULL,
`guests` text NOT NULL,
`usersinks` text NOT NULL,
`guestsinks` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1052 ;
SELECT a.votes, a.post,
b.*
FROM wp_votes a
INNER JOIN wp_Post b
ON a.post = b.ID
WHERE a.votes <> ''
To further gain more knowledge about joins, kindly visit the link below:
Visual Representation of SQL Joins