My database structure contains:
actions
+--------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| placement_id | int(11) | YES | MUL | NULL | |
| lead_id | int(11) | NO | MUL | NULL | |
+--------------+--------------+------+-----+---------+----------------+
placements
+--------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| publisher_id | int(11) | YES | MUL | NULL | |
| name | varchar(255) | NO | | NULL | |
| status | tinyint(1) | NO | | NULL | |
+--------------+--------------+------+-----+---------+----------------+
leads
+---------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| status | varchar(255) | YES | | NULL | |
+---------+--------------+------+-----+---------+----------------+
I would like to retrieve a number of statuses per each placement (groupped):
| placement_id | placement_name | count
+--------------+----------------+-------
| 123 | PlacementOne | 12
| 567 | PlacementTwo | 15
I tried countless times and every query I wrote seems dumb, so I won't even post them here. I'm hopeless. An well commented query (so I can learn) would be much appreciated.
select a.placement_id, p.name as placement_name, count(l.status)
from actions a
inner join placements p on p.id = a.placement_id
inner join leads l on l.id = a.lead_id
group by a.placement_id, p.name
Related
I have 3 tables person, account and subscription. Account belongs to Person as one to many and Account and Subscription are many to many.I need a sql which can select data from three tables.-
Person Tables
+----------------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| username | varchar(128) | NO | | NULL | |
| password | varchar(128) | NO | | NULL | |
| account_id | int(11) | NO | | NULL | |
+----------------------------+---------------+------+---------------+----------------+
Account table
+--------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| yearly_renew | tinyint(1) | NO | | NULL | |
| date_joined | date | NO | | NULL | |
| last_renewed | datetime | YES | | NULL | |
| signup | tinyint(1) | NO | | NULL | |
| reason | varchar(100) | YES | | NULL | |
| yearly_total | int(11) | YES | | NULL | |
| total | int(11) | YES | | NULL | |
+--------------+--------------+------+-----+---------+----------------+
Account-Subscription table
+-----------------+---------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------------+---------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| account_id | int(11) | NO | MUL | NULL | |
| subscription_id | int(11) | NO | MUL | NULL | |
+-----------------+---------+------+-----+---------+----------------+
Subscription table
+-------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| subscription_type | varchar(150) | YES | | NULL | |
| hold | tinyint(1) | NO | | NULL | |
| start_date | date | YES | | NULL | |
| end_date | date | YES | | NULL | |
| amount_paid | double | YES | | NULL | |
| date_paid | date | YES | | NULL | |
| transaction_id | int(11) | YES | | NULL | |
| free | tinyint(1) | NO | | NULL | |
+-------------------+--------------+------+-----+---------+----------------+
Expecting output in a single query -
OUTPUT
+-----------+------------+--------------+
| person.id | account.id | subscription.id |
+-----------+------------+--------------+
| 10 | 11 | 20 |
| 15 | 32 | 45 |
| 23 | 43 | null |
+--------+---------+-----------------+
try this. it may works properly...
SELECT p.Id AS person.id
,p.account_id AS account.id
,acsub.subscription_id as subscription.id
FROM Person AS p
LEFT JOIN Account-Subscription AS acsub ON p.account_id=acsub.account_id
SELECT p.Id AS person.id
,p.account_id AS account.id
,acsub.subscription_id as subscription.id
FROM Person AS p
INNER JOIN
Account-Subscription AS acsub ON p.account_id=acsub.account_id
in my database I have 3 tables named items, manufacturers and items_manufacturers. manufacturers has a HAS:MANY relation with items_manufacturers
My items table
+---------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------+--------------+------+-----+---------+----------------+
| id | bigint(20) | NO | PRI | NULL | auto_increment |
| code | varchar(25) | NO | MUL | NULL | |
| item_category | varchar(100) | NO | | NULL | |
| item_desc | varchar(500) | NO | | NULL | |
| reorder_point | int(11) | NO | | NULL | |
| unit | varchar(45) | NO | | NULL | |
+---------------+--------------+------+-----+---------+----------------+
My manufacturers table
+------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------+--------------+------+-----+---------+----------------+
| id | bigint(20) | NO | PRI | NULL | auto_increment |
| code | varchar(25) | NO | | NULL | |
| name | varchar(250) | NO | | NULL | |
| address | varchar(750) | NO | | NULL | |
| contact_no | varchar(50) | NO | | NULL | |
+------------+--------------+------+-----+---------+----------------+
My items_manufacturers table
+-----------------+---------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------------+---------------+------+-----+---------+----------------+
| id | bigint(20) | NO | PRI | NULL | auto_increment |
| item_id | bigint(20) | NO | MUL | NULL | |
| manufacturer_id | bigint(20) | NO | MUL | NULL | |
| unit_cost | decimal(20,2) | NO | | NULL | |
| vendor_id | bigint(20) | NO | | NULL | |
+-----------------+---------------+------+-----+---------+----------------+
In my result table I want items_id, items_desc, name of manufacturer from manufacturers table and manufacturer_id. The relation I have is
items.id=items_manufacturers.item_id and
manufacturers.id=items_manufacturers.manufacturer_id.
I tried using inner joins for three tables but not working.
The query I tried
select
items_manufacturers.id,
items.item_desc,
item_manufacturers.manufacturer_id,
manufacturer.name
from items_manufacturers
INNER JOIN items ON items_manufacturers.item_id=items.id
INNER JOIN manufacturers ON items_manufacturers.manufacturer_id=manufacturers.id
Anybody kindly help me with this, I am stuck up from a long time
I used this following code and got the result you were trying to get. This code may solve your problem:
select a.name,b.manufacturer_id,c.id,c.item_desc
from manufacturers as a
inner join
item_manufacturers as b
on b.manufacturer_id=a.id
inner join item as c
on c.id=b.item_id
I have a MySQL query which joins between the two table. I need to map call id from first table with second table. Second table may not have the call id, hence I need to left join the tables. Below is the query, it takes around 125 seconds to finish.
select uniqueid, TRANTAB.DISP, TRANTAB.DIAL FROM
closer_log LEFT JOIN
(select call_uniqueId, sum(dispo_duration) as DISP, sum(dialing_duration) as DIAL
from agent_transition_log group by call_uniqueId) TRANTAB
on closer_log.uniqueid=TRANTAB.call_uniqueId;
Here is the explain output of the query with left join.
+----+-------------+----------------------+-------+---------------+----------------------------+---------+------+--------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+----------------------+-------+---------------+----------------------------+---------+------+--------+-------------+
| 1 | PRIMARY | closer_log | index | NULL | uniqueid | 43 | NULL | 37409 | Using index |
| 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 32535 | |
| 2 | DERIVED | agent_transition_log | index | NULL | index_agent_transition_log | 43 | NULL | 159406 | |
+----+-------------+----------------------+-------+---------------+----------------------------+---------+------+--------+-------------+
If I do the internal join, then execution time is around 2 seconds.
select uniqueid, TRANTAB.DISP, TRANTAB.DIAL FROM
closer_log JOIN
(select call_uniqueId, sum(dispo_duration) as DISP, sum(dialing_duration) as DIAL
from agent_transition_log group by call_uniqueId) TRANTAB
on closer_log.uniqueid=TRANTAB.call_uniqueId;
Explain output of query with internal join.
+----+-------------+----------------------+-------+------------------------------------+----------------------------+---------+-----------------------+--------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+----------------------+-------+------------------------------------+----------------------------+---------+-----------------------+--------+--------------------------+
| 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 32535 | |
| 1 | PRIMARY | closer_log | ref | uniqueid,index_closer_log | index_closer_log | 43 | TRANTAB.call_uniqueId | 1 | Using where; Using index |
| 2 | DERIVED | agent_transition_log | index | NULL | index_agent_transition_log | 43 | NULL | 159406 | |
+----+-------------+----------------------+-------+------------------------------------+----------------------------+---------+-----------------------+--------+--------------------------+
My question is, why is internal join so much faster then left join. Does my query has any logical fault which is causing the slow execution? What are my optimization options. The call ids in both the tables are indexed.
Edit 1) Added table descriptions
mysql> desc agent_transition_log;
+--------------------+----------------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+--------------------+----------------------+------+-----+---------+-------+
| user_log_id | int(9) unsigned | NO | MUL | NULL | |
| event_time | datetime | YES | | NULL | |
| dispoStatus | varchar(6) | YES | | NULL | |
| call_uniqueId | varchar(40) | YES | MUL | NULL | |
| xfer_call_uid | varchar(40) | YES | | NULL | |
| pause_duration | smallint(5) unsigned | YES | | 0 | |
| wait_duration | smallint(5) unsigned | YES | | 0 | |
| dialing_duration | smallint(5) unsigned | YES | | 0 | |
| ring_wait_duration | smallint(5) unsigned | YES | | 0 | |
| talk_duration | smallint(5) unsigned | YES | | 0 | |
| dispo_duration | smallint(5) unsigned | YES | | 0 | |
| park_duration | smallint(5) unsigned | YES | | 0 | |
| rec_duration | smallint(5) unsigned | YES | | 0 | |
| xfer_wait_duration | smallint(5) unsigned | YES | | 0 | |
| logged_in_duration | smallint(5) unsigned | YES | | 0 | |
| sub_status | varchar(6) | YES | | NULL | |
+--------------------+----------------------+------+-----+---------+-------+
16 rows in set (0.00 sec)
mysql> desc closer_log;
+----------------+----------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------+----------------------+------+-----+---------+----------------+
| closecallid | int(9) unsigned | NO | PRI | NULL | auto_increment |
| lead_id | int(9) unsigned | NO | MUL | NULL | |
| list_id | bigint(14) unsigned | YES | | NULL | |
| campaign_id | varchar(20) | YES | MUL | NULL | |
| call_date | datetime | YES | MUL | NULL | |
| start_epoch | int(10) unsigned | YES | | NULL | |
| end_epoch | int(10) unsigned | YES | | NULL | |
| length_in_sec | int(10) | YES | | NULL | |
| status | varchar(6) | YES | | NULL | |
| phone_code | varchar(10) | YES | | NULL | |
| phone_number | varchar(18) | YES | MUL | NULL | |
| user | varchar(20) | YES | | NULL | |
| comments | varchar(255) | YES | | NULL | |
| processed | enum('Y','N') | YES | | NULL | |
| queue_seconds | decimal(7,2) | YES | | 0.00 | |
| user_group | varchar(20) | YES | | NULL | |
| xfercallid | int(9) unsigned | YES | | NULL | |
| uniqueid | varchar(40) | YES | MUL | NULL | |
| callerid | varchar(40) | YES | | NULL | |
| agent_only | varchar(20) | YES | | | |
| queue_position | smallint(4) unsigned | YES | | 1 | |
| root_uid | varchar(40) | YES | | NULL | |
| parent_uid | varchar(40) | YES | | NULL | |
| extension | varchar(100) | YES | | NULL | |
| alt_dial | varchar(6) | YES | | NULL | |
| talk_duration | smallint(5) unsigned | YES | | 0 | |
| did_pattern | varchar(50) | YES | | NULL | |
+----------------+----------------------+------+-----+---------+----------------+
Left join looks for the fields from left + unmatched entries from right, so it has to check every joined field in the right table which might be NULL (if you don't have an index on the fields for that JOIN, it means the query will check the whole right table every time). Inner join looks only for direct matches, so it might not have to go over the whole table to perform a join (Especially if you join on indexed fields).
By the way, if you only want to display the entries mentioned in agent_transition_log, you don't need join at all:
select call_uniqueId, sum(dispo_duration) as DISP, sum(dialing_duration) as DIAL
from agent_transition_log group by call_uniqueId;
will do the job.
OR if you do want to add the missing entries:
SELECT call_uniqueId, sum(dispo_duration) as DISP, sum(dialing_duration) as DIAL
from agent_transition_log group by call_uniqueId
UNION
SELECT uniqueid as call_uniqueid, NULL as DISP, NULL as DIAL from closer_log
WHERE uniqueid not in (SELECT call_uniqueid FROM agent_transition_log);
I am trying to write a MySQL query that gives me results of Organisation Name, its Post Code, any Events that belong to the Organisation and the Post Code of that Event. I've tried all sorts of of join, join and select combinations to no avail. Is this something that is possible ? (I could have a separate table for Org Address and Event Address but it seems like it should be possible to use just one table)
My table structures:
mysql> DESCRIBE cc_organisations;
+-------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| user_id | int(10) unsigned | NO | MUL | NULL | |
| type | enum('C','O') | YES | | NULL | |
| name | varchar(150) | NO | MUL | NULL | |
| description | text | YES | | NULL | |
+-------------+------------------+------+-----+---------+----------------+
5 rows in set (0.00 sec)
mysql> DESCRIBE cc_events;
+-------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| org_id | int(10) unsigned | NO | MUL | NULL | |
| name | varchar(150) | NO | MUL | NULL | |
| start_date | int(11) | NO | MUL | NULL | |
| end_date | int(11) | YES | MUL | NULL | |
| start_time | int(11) | NO | | NULL | |
| end_time | int(11) | NO | | NULL | |
| description | text | YES | | NULL | |
+-------------+------------------+------+-----+---------+----------------+
8 rows in set (0.00 sec)
mysql> DESCRIBE cc_addresses;
+--------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| org_id | int(10) unsigned | YES | MUL | NULL | |
| event_id | int(10) unsigned | YES | MUL | NULL | |
| post_code | varchar(7) | NO | MUL | NULL | |
| address_1 | varchar(100) | NO | | NULL | |
| address_2 | varchar(100) | YES | | NULL | |
| town | varchar(50) | NO | | NULL | |
| county | varchar(50) | NO | | NULL | |
| email | varchar(150) | NO | | NULL | |
| phone | int(11) | YES | | NULL | |
| mobile | int(11) | YES | | NULL | |
| website_uri | varchar(150) | YES | | NULL | |
| facebook_uri | varchar(250) | YES | | NULL | |
| twitter_uri | varchar(250) | YES | | NULL | |
+--------------+------------------+------+-----+---------+----------------+
14 rows in set (0.00 sec)
select o.Name, oAddress.PostCode, e.Name, eAddress.PostCode
from cc_organisations o
inner join cc_addresses oAddress on oAddress.org_id = o.id
left outer join cc_events e on e.org_id=o.id
inner join cc_addresses eAddress on eAddress.event_id = e.id
SELECT cco.name as OrgName, cca.post_code as OrgPostCode, cce.id,
cce.org_id, cce.name, cce.start_date, cce.end_date, cce.start_time,
cce.end_time, cce.description
FROM cc_events cce, cc_addresses cca, cc_organisations cco
WHERE cca.event_id = cce.id AND cco.id=cce.org_id
ORDER BY cce.start_date
LIMIT 50;
You can change your sort and limit, I just added those in because I don't know how big your DB is... You may even be able to get away with:
SELECT cco.name as OrgName, cca.post_code as OrgPostCode, cce.*
FROM cc_events cce, cc_addresses cca, cc_organisations cco
WHERE cca.event_id = cce.id AND cco.id=cce.org_id
ORDER BY cce.start_date LIMIT 50;
But im not 100% sure if the 2nd query will bum out or not.
Your address table has the post codes in it; but it also has an organization id and event id foreign keys. We only need to check the event_id from the address table because any event will belong to an organization.
Address's Event matched Event ID
Event's Organization matched Organization ID
I have the following query:
SELECT DISTINCT `movies_manager_movie`.`id`,
`movies_manager_movie`.`title`,
`movies_manager_movie`.`original_title`,
`movies_manager_movie`.`synopsis`,
`movies_manager_movie`.`keywords`,
`movies_manager_movie`.`release_date`,
`movies_manager_movie`.`rating`,
`movies_manager_movie`.`poster_web_url`,
`movies_manager_movie`.`has_poster`,
`movies_manager_movie`.`number`,
`movies_manager_movie`.`has_sources`,
`movies_manager_movie`.`season_id`,
`movies_manager_movie`.`created`,
`movies_manager_movie`.`updated`,
`movies_manager_moviecache`.`activity_name`
FROM `movies_manager_movie`
LEFT OUTER JOIN `movies_manager_moviecache` ON (`movies_manager_movie`.`id` = `movies_manager_moviecache`.`movie_id`)
WHERE (`movies_manager_movie`.`has_sources` = 1
AND (`movies_manager_moviecache`.`team_member_id` IN (
SELECT U0.`id` FROM `movies_manager_movieteammember` U0
INNER JOIN `movies_manager_movieteammemberactivity` U1 ON (U0.`id` = U1.`team_member_id`)
WHERE U1.`movie_id` = 3588 )
AND `movies_manager_movie`.`number` IS NULL
)
AND NOT (`movies_manager_movie`.`id` = 3588 ))
ORDER BY `movies_manager_moviecache`.`activity_name` DESC LIMIT 3;
This query can take up to 3 seconds and I'm very surprise since I got indexes everywhere and no more than 35 rows in each of my MyIsam tables, using the latest MySQL version.
I cached everything I could but I have at least to run this one 20000 times every day, which is approximately 16 h of waiting for loading. And I'm pretty sure none of my user (nor Google Bot) appreciate a 4 secondes waiting time for each page loading.
What could I do to make it faster ?
I thought about duplicating field from movie to moviecache since the all purpose of movie cache is to denormalize to complex join already.
I tried inlining the subquery to a list of ID but it surprisingly doubled the time of the query.
Tables:
+----------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| title | varchar(120) | NO | UNI | NULL | |
| original_title | varchar(120) | YES | | NULL | |
| synopsis | longtext | YES | | NULL | |
| keywords | varchar(120) | YES | | NULL | |
| release_date | date | YES | | NULL | |
| rating | int(11) | NO | | NULL | |
| poster_web_url | varchar(255) | YES | | NULL | |
| has_poster | tinyint(1) | NO | | NULL | |
| number | int(11) | YES | | NULL | |
| season_id | int(11) | YES | MUL | NULL | |
| created | datetime | NO | | NULL | |
| updated | datetime | NO | | NULL | |
| has_sources | tinyint(1) | NO | | NULL | |
+----------------+--------------+------+-----+---------+----------------+
+---------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(120) | NO | UNI | NULL | |
| biography | longtext | YES | | NULL | |
| birth_date | date | YES | | NULL | |
| picture_web_url | varchar(255) | YES | | NULL | |
| allocine_link | varchar(255) | YES | | NULL | |
| created | datetime | NO | | NULL | |
| updated | datetime | NO | | NULL | |
| has_picture | tinyint(1) | NO | | NULL | |
| biography_linkyfied | longtext | YES | | NULL | |
+---------------------+--------------+------+-----+---------+----------------+
+----------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| movie_id | int(11) | NO | MUL | NULL | |
| tag_slug | varchar(100) | YES | MUL | NULL | |
| team_member_id | int(11) | YES | MUL | NULL | |
| cast_rank | int(11) | YES | | NULL | |
| activity_name | varchar(30) | YES | MUL | NULL | |
+----------------+--------------+------+-----+---------+----------------+
Mysql tells me it's a slow query:
# Query_time: 3 Lock_time: 0 Rows_sent: 9 Rows_examined: 454128
Move movies_manager_movieteammemberactivity and movies_manager_movieteammember to your main join statement (so that you're doing a left outer between movies_manager_movie and the inner join product of the other 3 tables). This should speed up your query considerably.
Try this:
SELECT `movies_manager_movie`.`id`,
`movies_manager_movie`.`title`,
`movies_manager_movie`.`original_title`,
`movies_manager_movie`.`synopsis`,
`movies_manager_movie`.`keywords`,
`movies_manager_movie`.`release_date`,
`movies_manager_movie`.`rating`,
`movies_manager_movie`.`poster_web_url`,
`movies_manager_movie`.`has_poster`,
`movies_manager_movie`.`number`,
`movies_manager_movie`.`has_sources`,
`movies_manager_movie`.`season_id`,
`movies_manager_movie`.`created`,
`movies_manager_movie`.`updated`,
(
SELECT `movies_manager_moviecache`.`activity_name`
FROM `movies_manager_moviecache`
WHERE (`movies_manager_movie`.`id` = `movies_manager_moviecache`.`movie_id`
AND (`movies_manager_moviecache`.`team_member_id` IN (
SELECT U0.`id` FROM `movies_manager_movieteammember` U0
INNER JOIN `movies_manager_movieteammemberactivity` U1 ON (U0.`id` = U1.`team_member_id`)
WHERE U1.`movie_id` = 3588 )
AND `movies_manager_movie`.`number` IS NULL
) ) LIMIT 1) AS `activity_name`
FROM `movies_manager_movie`
WHERE (`movies_manager_movie`.`has_sources` = 1
AND NOT (`movies_manager_movie`.`id` = 3588 ))
ORDER BY `activity_name` DESC
LIMIT 3;
Let me know how that performs