I have to extract the list of POS(point of service) from pos table, based on location name:
POS
+----------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(100) | NO | | NULL | |
| address | varchar(200) | YES | | NULL | |
| country | varchar(45) | YES | | NULL | |
| location | varchar(100) | YES | | NULL | |
+----------+--------------+------+-----+---------+----------------+
so, it would be something like :
select *
from pos
where location = 'new york';
Now , from the table mission i have to count the number of POS (pos_name), and if this number is greater than a number coming from a subquery, pos register should not be shown.
mission
| id | int(11) | NO | PRI | NULL | auto_increment |
| team_name | varchar(45) | YES | | NULL | |
| team_photo | varchar(255) | YES | | NULL | |
| pos_name | varchar(45) | YES | | NULL | |
| pos_id | int(11) | YES | | NULL | |
| product_category | varchar(45) | YES | | NULL | |
| product_platform | varchar(45) | YES | | NULL | |
| created_by | int(11) | YES | | NULL | |
| judged_by | int(11) | YES | | NULL | |
| selfie_photo | varchar(255) | YES | | NULL | |
| like_score | int(11) | YES | | NULL | |
| star_score | float | YES | | NULL | |
| feedback_recommendation | varchar(2000) | YES | | NULL | |
| created_at | timestamp | YES | | CURRENT_TIMESTAMP | |
| updated_at | timestamp | YES | | CURRENT_TIMESTAMP | on update CURRENT_TIMESTAMP |
| sent_date | timestamp | YES | | NULL | |
| locked | tinyint(1) | YES | | 0 | |
+-------------------------+---------------+------+-----+-------------------+-----------------------------+
so until now i developed following sql query :
SELECT p.id,p.name
FROM missions m join pos p
on m.pos_id = p.id
where p.location = 'new york'
having count(m.pos_name) < (select count(*)
from product_category);
but this part of code
having count(m.pos_name)
should be something like that :
select count(*)
from missions
group by pos_name;
because without group by statement i will recieve a sum of all pos, but i need to check it for a group, not for all of them.
Any suggestion ?
I thing you need the data with group by with condition then try this
SELECT p.id,p.name
FROM missions m join pos p
on m.pos_id = p.id
where p.location = 'new york'
group by m.pos_name
having count(m.pos_name) < (select count(*)
from product_category);
Just add group by m.pos_name it will work.
You can check Here
Related
I am working on a piece of code that runs a query against MySQL. The syntax is below:
SELECT `order`.`id` AS `id`,
IFNULL(product.main_name, product.name) AS `variant`,
`product`.`id` AS `product_id`,
`product`.`cost` AS `cost`,
ROUND(SUM(order.price), 2) AS `price`,
SUM(order.quantity) AS `quantity`,
`product`.`sku` AS `sku`,
ROUND(order.price/order.quantity, 2) AS `avg_price`,
`product`.`quantity` AS `qty_at_hand`,
`order`.`fulfillment_channel` AS `fulfillment_channel`,
0 as `returns`
FROM `order`
LEFT JOIN `product` ON product.sku = order.sku
WHERE (`order`.`account_id`=1)
AND (`order`.`item_status`<>'Cancelled')
AND (`order`.`purchase_date` >= $start_date)
AND (`order`.`purchase_date` <= $end_date)
GROUP BY `order`.`sku`
My order table:
| id | int(11) | NO | PRI | NULL | auto_increment |
| user_id | int(11) | NO | MUL | NULL | |
| account_id | int(11) | NO | MUL | NULL | |
| merchant_order_id | varchar(255) | NO | | NULL | |
| purchase_date | datetime | NO | | NULL | |
| updated_date | datetime | NO | | NULL | |
| order_status | varchar(255) | NO | | NULL | |
| product_name | varchar(255) | NO | | NULL | |
| sku | varchar(255) | NO | MUL | NULL | |
| item_status | varchar(255) | NO | | NULL | |
| quantity | int(11) | NO | | NULL | |
| currency | varchar(10) | NO | | NULL | |
| price | decimal(9,2) | YES | | 0.00 | |
| created_at | datetime | NO | | CURRENT_TIMESTAMP | |
| fulfillment_channel | varchar(255) | YES | | NULL | |
My product table:
| id | int(11) | NO | PRI | NULL | auto_increment |
| user_id | int(11) | NO | MUL | NULL | |
| account_id | int(11) | NO | MUL | NULL | |
| name | varchar(255) | NO | | NULL | |
| main_name | varchar(255) | YES | | NULL | |
| description | text | YES | | NULL | |
| listing_id | varchar(255) | YES | | NULL | |
| sku | varchar(255) | NO | MUL | NULL | |
| open_date | datetime | YES | | NULL | |
| price | decimal(9,2) | NO | | 0.00 | |
| quantity | int(11) | YES | | NULL | |
| supplier_id | int(11) | YES | | NULL | |
| active | tinyint(1) | NO | | 1 | |
| supplier_sku | varchar(255) | YES | | NULL | |
| upc | varchar(255) | YES | | NULL | |
| tag | varchar(255) | YES | | NULL | |
| cost | decimal(9,2) | NO | | 0.00 | |
| ean | int(11) | YES | | NULL | |
| min_order_qty | int(11) | YES | | NULL | |
The query is working fine. However, I would like to replace the QUERY with a stored procedure - a function would take three (3) arguments: start_date, end_date and a boolean flag called full.
I would like the full to be interpreted in a the following way:
- if full is set to false, return the same results query returns now;
- if full is set to true, return a row for each entry in the products table with quantity, price and average price returned as 0, if where fails merged with the query results - a row for each product, whether where were orders in the set period or not.
I was thinking about making a temporary table, then running an update on it and dumping the table after the data has been returned?
What would be the correct way to approach this?
Thank you
Add a UNION to this query and have it do an LEFT OUTER JOIN from Products to Orders table and in the WHERE clause check for full = true and only look for rows with Order.id is NULL. Union would only bring rows when full = true.
Prepare data in SELECT as you specified.
Im trying to select from a Moodle table the last row of each user in a list.
my query is
SELECT *
FROM mdl_logstore_standard_log
WHERE eventname='\\core\\event\\user_enrolment_created'
AND courseid=34
AND relateduserid IN(120,128)
GROUP BY relateduserid;`
and the table that i use is :
MariaDB [****_*****]> describe mdl_logstore_standard_log;
+-------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+--------------+------+-----+---------+----------------+
| id | bigint(10) | NO | PRI | NULL | auto_increment |
| eventname | varchar(255) | NO | | | |
| component | varchar(100) | NO | | | |
| action | varchar(100) | NO | | | |
| target | varchar(100) | NO | | | |
| objecttable | varchar(50) | YES | | NULL | |
| objectid | bigint(10) | YES | | NULL | |
| crud | varchar(1) | NO | | | |
| edulevel | tinyint(1) | NO | | NULL | |
| contextid | bigint(10) | NO | MUL | NULL | |
| contextlevel | bigint(10) | NO | | NULL | |
| contextinstanceid | bigint(10) | NO | | NULL | |
| userid | bigint(10) | NO | MUL | NULL | |
| courseid | bigint(10) | YES | MUL | NULL | |
| relateduserid | bigint(10) | YES | | NULL | |
| anonymous | tinyint(1) | NO | | 0 | |
| other | longtext | YES | | NULL | |
| timecreated | bigint(10) | NO | MUL | NULL | |
| origin | varchar(10) | YES | | NULL | |
| ip | varchar(45) | YES | | NULL | |
| realuserid | bigint(10) | YES | | NULL | |
+-------------------+--------------+------+-----+---------+----------------+
My Problem with this query is that it give me the first row for every userid in list, and i want the last. i tried order by id desc but nothing changed.
You can try this:
SELECT
L.*
FROM mdl_logstore_standard_log L
INNER JOIN
(
SELECT
relateduserid,
MAX(id) AS max_id
FROM mdl_logstore_standard_log
WHERE eventname='\\core\\event\\user_enrolment_created'
AND courseid=34
AND relateduserid IN(120,128)
GROUP BY relateduserid
)AS t
ON L.id = t.max_id
First getting the maximum auto increment id for those relateduserids then making an inner join between mdl_logstore_standard_log and t table would return your expected result.
Try this but i didnt test it
select * from mdl_logstore_standard_log where eventname='\\core\\event\\user_enrolment_created' and courseid=34 and relateduserid IN(120,128) GROUP BY relateduserid ORDER BY id DESC LIMIT 1;
I have 4 tables as below ,i am trying to join these tables but the query is taking too long to execute.Please tell me how do i optimize this.
Trying to do below
1) using a sub query i am creating a table based on input date range
2) i require to group result based on bank then on district and then on state,so that i can filter results on front end as State-->District-->Bank
3) Also i need to avoid some junk data which i am doing using not like clause.
select substring(a.ifsc,1,4) as code,
s.new_state as state,
s.state_id as stid,
d.new_dist as dist,
b.ifbank as bank,
count(a.amt) as num,
sum(a.amt) as amt from
(SELECT * FROM mtr where orgdate between '$fdate_new' and '$tdate_new')
as a JOIN ifsc b on b.ifscd=a.ifsc
JOIN user c on a.excd=c.mtr
JOIN state_mapping s on b.state=s.org_state
JOIN dist_mapping d on b.dist=d.org_dist
where
s.state_id ='$stid' and
TRIM(d.new_dist) <> '' and
d.new_dist IS NOT NULL
group by bank,dist order by amt desc;
dist_mapping table
+----------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+----------+-------------+------+-----+---------+-------+
| org_dist | varchar(20) | YES | | NULL | |
| new_dist | varchar(20) | YES | | NULL | |
+----------+-------------+------+-----+---------+-------+
ifsc table
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| ifscd | varchar(11) | NO | PRI | | |
| ifscbr | varchar(40) | YES | | NULL | |
| ifbank | varchar(40) | YES | | NULL | |
| newifsc | varchar(11) | YES | | NULL | |
| dist | varchar(20) | YES | | NULL | |
| state | varchar(20) | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
state_mapping table
+-----------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-----------+-------------+------+-----+---------+-------+
| org_state | varchar(20) | YES | | NULL | |
| new_state | varchar(20) | YES | | NULL | |
| state_id | int(2) | YES | | NULL | |
+-----------+-------------+------+-----+---------+-------+
user table
+---------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-----+---------+-------+
| excode | int(2) | YES | | NULL | |
| mtr | int(2) | YES | | NULL | |
| exname | varchar(40) | YES | | NULL | |
| country | varchar(10) | YES | | NULL | |
+---------+-------------+------+-----+---------+-------+
mysql> desc mtr;
+---------+---------------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+---------------------+------+-----+---------+-------+
| excd | int(2) | NO | PRI | 0 | |
| orgdate | date | YES | | NULL | |
| amt | double(12,2) | YES | | NULL | |
| obank | int(1) | YES | | NULL | |
| brcd | int(5) | YES | | NULL | |
| brname | varchar(40) | YES | | NULL | |
| rname | varchar(40) | YES | | NULL | |
| bname | varchar(40) | YES | | NULL | |
| baddr | varchar(60) | YES | | NULL | |
| mob | varchar(32) | YES | | NULL | |
| ifsc | varchar(12) | YES | | NULL | |
+---------+---------------------+------+-----+---------+-------+
Subquery takes more time compare to join Please try this
select substring(a.ifsc,1,4) as code,
s.new_state as state,
s.state_id as stid,
d.new_dist as dist,
b.ifbank as bank,
count(a.amt) as num,
sum(a.amt) as amt
From mtr as a
JOIN ifsc b on b.ifscd=a.ifsc and orgdate between '$fdate_new' and '$tdate_new'
JOIN user c on a.excd=c.mtr
JOIN state_mapping s on b.state=s.org_state
JOIN dist_mapping d on b.dist=d.org_dist
where
s.state_id ='$stid' and `enter code here`
TRIM(d.new_dist) <> '' and
d.new_dist IS NOT NULL
group by bank,dist order by amt desc;
I have a table with the following schema:
people_stages
id | person_id | stage_id | created
1 | 1 | 1 | 2013-09-01 00:00:00
2 | 1 | 2 | 2013-09-02 00:00:00
3 | 1 | 3 | 2013-09-03 00:00:00
I have created the following query to select the most recent stage grouped by person:
SELECT *
FROM people Person
LEFT JOIN people_stages PersonStage ON PersonStage.person_id = Person.id
WHERE PersonStage.created = (SELECT MAX(people_stages.created) FROM people_stages GROUP BY person_id HAVING person_id = PersonStage.person_id);
It works fine, however, if I try to ORDER BY a field in the Person table:
SELECT *
FROM people Person
LEFT JOIN people_stages PersonStage ON PersonStage.person_id = Person.id
WHERE PersonStage.created = (SELECT MAX(people_stages.created) FROM people_stages GROUP BY person_id HAVING person_id = PersonStage.person_id)
ORDER BY Person.last_name;
It returns 0 results.
Could anyone provide some insight, please?
Thanks!
EDIT: Structure of people
+----------------------------+--------------------------------------------------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------------------+--------------------------------------------------------------+------+-----+---------+----------------+
| id | bigint(20) | NO | PRI | NULL | auto_increment |
| internal_id | varchar(50) | NO | MUL | NULL | |
| public_id | varchar(30) | NO | | NULL | |
| counselor_id | bigint(20) | NO | | NULL | |
| term_id | int(11) | NO | MUL | NULL | |
| program_id | int(11) | NO | | NULL | |
| person_type_id | int(11) | NO | MUL | NULL | |
| first_name | varchar(100) | NO | | NULL | |
| middle_name | varchar(100) | NO | | NULL | |
| last_name | varchar(100) | NO | | NULL | |
| photo_url | varchar(255) | NO | | NULL | |
| gender | enum('m','f','u') | NO | | NULL | |
| date_of_birth | date | NO | | NULL | |
| address | varchar(255) | NO | | NULL | |
| address_apt | varchar(100) | NO | | NULL | |
| address_city | varchar(100) | NO | | NULL | |
| address_state | varchar(100) | NO | | NULL | |
| address_state_intl | varchar(255) | NO | | NULL | |
| address_zip | varchar(25) | NO | | NULL | |
| address_country | varchar(100) | NO | | NULL | |
| address_verified | tinyint(1) | NO | | NULL | |
| address_latitude | varchar(100) | NO | | NULL | |
| address_longitude | varchar(100) | NO | | NULL | |
| address_position | point | NO | MUL | NULL | |
| address_distance | smallint(6) | NO | | NULL | |
| social_facebook | mediumtext | NO | | NULL | |
| social_twitter | varchar(255) | NO | | NULL | |
| social_instagram | varchar(255) | NO | | NULL | |
| phone_cell | varchar(25) | NO | | NULL | |
| phone_cell_clean | varchar(25) | YES | | NULL | |
| phone_work | varchar(25) | NO | | NULL | |
| phone_work_clean | varchar(25) | NO | | NULL | |
| permission_to_text | tinyint(1) | NO | | NULL | |
| permission_to_text_confirm | tinyint(1) | NO | | NULL | |
| phone_home | varchar(25) | NO | | NULL | |
| phone_home_clean | varchar(25) | YES | | NULL | |
| email_address | varchar(255) | NO | | NULL | |
| permission_to_email | tinyint(1) | NO | | NULL | |
| preferred_contact | enum('phone_home','phone_cell','text_cell','email','postal') | NO | | NULL | |
| parent_first_name | varchar(100) | NO | | NULL | |
| parent_last_name | varchar(100) | NO | | NULL | |
| parent_email | varchar(255) | NO | | NULL | |
| hs_name | varchar(255) | NO | | NULL | |
| hs_homeschooled | tinyint(1) | NO | | NULL | |
| hs_ceeb_id | varchar(100) | NO | | NULL | |
| hs_grad_year | varchar(4) | NO | | NULL | |
| coll_name | varchar(255) | NO | | NULL | |
| coll_ceeb_id | varchar(100) | NO | | NULL | |
| coll_major | varchar(255) | NO | | NULL | |
| coll_year | varchar(20) | NO | | NULL | |
| counselor_read | tinyint(1) | NO | | NULL | |
| source | varchar(100) | NO | | NULL | |
| entry_method | varchar(100) | NO | | NULL | |
| erp_processed | tinyint(1) | NO | | NULL | |
| created | datetime | NO | | NULL | |
| modified | datetime | NO | | NULL | |
+----------------------------+--------------------------------------------------------------+------+-----+---------+----------------+
This appears to be a bug in MySQL, about which I have filed a report. I have narrowed it to the following test case, which one would expect to return a single record (but it does not):
CREATE TABLE t (x INT NULL); -- table with nullable column
INSERT INTO t VALUES (0); -- but non null data
SELECT a.x -- select our nullable column
FROM t a, (SELECT NULL) b -- joining it with anything at all
WHERE EXISTS ( -- but filter on a subquery
SELECT *
FROM (SELECT NULL) c -- doesn't really matter what
HAVING a.x IS NOT NULL -- provided there is some correlated condition
-- on our nullable column in the HAVING clause
)
ORDER BY RAND() -- then perform a filesort on the outer query
See it on sqlfiddle.
In your case, you can do a number of things to fix this:
Avoid the correlated subquery by rewriting as a join:
SELECT *
FROM people AS p LEFT JOIN (people_stages AS s NATURAL JOIN (
SELECT person_id, MAX(created) created
FROM people_stages
GROUP BY person_id
) t) ON s.person_id = p.id
ORDER BY p.last_name
If you want to keep the correlated subquery (which can generally yield poor performance but is often easier to understand), use WHERE instead of HAVING:
SELECT *
FROM people AS p LEFT JOIN people_stages AS s ON s.person_id = p.id
WHERE s.created = (
SELECT MAX(created)
FROM people_stages
WHERE person_id = s.person_id
)
ORDER BY p.last_name
If you're unable to change the query, you should find that making the people_stages.person_id column non-nullable will get around the problem:
ALTER TABLE people_stages MODIFY person_id BIGINT UNSIGNED NOT NULL
It seems that having an index on that column (which would be required to effect a foreign key constraint) may also help:
ALTER TABLE people_stages ADD FOREIGN KEY (person_id) REFERENCES people (id)
Alternatively one could remove people_stages.person_id from the select list, or adjust the data model/indexing/query strategy to avoid a filesort (may not be practical in this case, but I mention them here for completeness).
Check that you are not running out of space in your server... yes, sounds strange, but a behavior like the one described could be caused by that
I have three tables
Let's a demo_organization ;
+--------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| org_name | varchar(100) | NO | | NULL | |
| org_type | varchar(100) | NO | | NULL | |
| abn_acn_no | varchar(100) | NO | | NULL | |
| org_url | varchar(120) | NO | | NULL | |
| notes | longtext | NO | | NULL | |
| city | varchar(100) | YES | | NULL | |
Second one is demo_user
mysql> desc demo_user ;
+--------------------+----------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------------+----------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| user_name | varchar(100) | NO | | NULL | |
| first_name | varchar(100) | NO | | NULL | |
| middle_name | varchar(100) | NO | | NULL | |
| last_name | varchar(100) | NO | | NULL | |
| image | varchar(10000) | YES | | NULL | |
| password | varchar(80) | NO | | NULL | |
| role | varchar(20) | NO | | NULL | |
| org_name_id | int(11) | NO | MUL | NULL | |
| timezone_id | int(11) | NO | MUL | NULL | |
And third one is the demo_meeting;look like
mysql> desc demo_meeting ;
+--------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(200) | NO | | NULL | |
| meetingID | varchar(50) | NO | | NULL | |
| venue_id | int(11) | YES | MUL | NULL | |
| status | int(11) | YES | | NULL | |
| recurring_time | varchar(50) | NO | | NULL | |
| attendee_passwd | varchar(100) | NO | | NULL | |
| moderator_passwd | varchar(100) | NO | | NULL | |
| date_created | datetime | NO | | NULL | |
| start_time | varchar(100) | NO | | NULL | |
| end_time | varchar(100) | NO | | NULL | |
| meeting_duration | varchar(100) | NO | | NULL | |
| meeting_datetime | datetime | YES | | NULL | |
| timezone | varchar(50) | NO | | NULL | |
| reminder | tinyint(1) | NO | | NULL | |
| duration | varchar(20) | NO | | NULL | |
| created_by_id | int(11) | NO | MUL | NULL | |
In third table created_by_id refers to A user of demo_user table(Foreign key)
And org_name_id(demo_user table ) refers to the demo_organization (Foreign key to demo_organization table )
Updated
mysql> desc demo_meetingroom;
+------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(100) | NO | | NULL | |
| type | varchar(200) | NO | | NULL | |
| expired_on | varchar(100) | NO | | NULL | |
| user_id | int(11) | YES | MUL | NULL | |
+------------+--------------+------+-----+---------+----------------+
Now i am trying to get all meetings for a particular organization .
I am writing a query like
select meetingID ,type from demo_meeting as dm ,demo_meetingroom as dmr
Where venue_id IS NOT NULL
and dm.name = dmr.name
AND created_by_id IN
(
SELECT id from demo_user WHERE org_name_id IN
(
SELECT id from demo_organization where id =
(SELECT org_name_id from demo_user WHERE user_name = 'God')
)
);
Unfortunately it is returning me Empty set (But there is value )
Please help me out what might i am doing wrong ?
JOIN the three tables instead of these IN's. Something like:
SELECT
dm.meetingID,
dm.type
FROM demo_meeting dm
INNER JOIN demo_user u ON dm.created_by_id = u.id
INNER JOIN demo_organization org ON u.org_name_id = org.id
WHERE u.user_name = 'God'
AND dm.venue_id IS NOT NULL
Much better if you can use JOIN.
SELECT a.meetingID, d.type
FROM demo_meeting a
LEFT JOIN demo_user b
ON a.created_by_id = b.id
LEFT JOIN demo_organization c
ON b.org_name_id = c.id
LEFT JOIN demo_meetingroom d
ON a.name = d.name
WHERE a.venue_id IS NOT NULL AND
b.username = 'GOD'