SQL JOIN with date 'categories' - php

I am trying to create a query that groups members into children and adults:
mysql tickets:
|ticket_id|ticket_no|
| 1 | 123456 |
mysql members:
|member_id|ticket_no| name | dob |
| 1 | 123456 | edward | 2010-03-05 | //child
| 2 | 123456 | karen | 1965-03-05 | //adult
html output:
|ticket_no|Adult Names|Children Names|
| 123456 | karen | edward |
I would like to do it with a join query really and output it in a loop as a row.
This is just an example:
SELECT t.*, m.*
FROM (`tickets` t)
JOIN(`members` m)
ON(m.`ticket_no` = t.`ticket_no`)
(SELECT m.`name` FROM m WHERE m.`dob` BETWEEN {$cStart} AND {$cEnd}) as children
(SELECT m.`name` FROM m WHERE m.`dob` BETWEEN {$aStart} AND {$aEnd}) as adults
ORDER BY t.`ticket_no`
Any help greatly appreciated.
Working SQL:
SELECT t.*,
CASE
WHEN m.`dob`
BETWEEN '{$datetime['start']}'
AND '{$datetime['end']}'
THEN m.`name`
END AS ChildName
FROM `tickets` t
JOIN (`members` m)
ON (m.`ticket_no` = t.`ticket_no`)
ORDER BY t.`ticket_no`

you can try this. Just pass appropriate date range in variables you are using
SELECT t.ticket_no,
case when m.`dob` BETWEEN {$aStart} AND {$aEnd} then m.name end as AdultName,
case when m.`dob` BETWEEN {$cStart} AND {$cEnd} then m.name end as ChildName
FROM (`tickets` t)
JOIN(`members` m)
ON(m.`ticket_no` = t.`ticket_no`)
ORDER BY t.`ticket_no`

Related

INNERJOIN WITH COUNT DISTINCT [duplicate]

I have a tagging system for my events system I would like to create a 'tag cloud'.
I have Events, which can have multiple 'categories'.
Here's the table structure:
**Event_Categories** (Stores Tags / Categories)
| id | name |
+-----------------+
+ 1 | sport |
+ 2 | charity |
+ 3 | other_tag |
**Events_Categories** (Linking Table)
| event_id | event_category_id |
+-------------------------------+
+ 1 | 1 |
+ 2 | 2 |
+ 3 | 1 |
+ 3 | 2 |
Summary:
Event ID 1 -> Sport
Event ID 2 -> Charity
Event ID 3 -> Sport, Charity
I'd like to return the following:
| tag_name | occurrences |
+-----------+-------------+
| sport | 2 |
| society | 2 |
other_tag - Not actually returned, as it has 0 occurrences
Thanks! :)
this will work:
SELECT c.name AS tag_name, COUNT(ec.event_id) AS occurrences
FROM Event_Categories c
INNER JOIN Events_Categories ec ON c.id = ec.event_category_id
GROUP BY c.id
change the INNER JOIN to LEFT JOIN if you want to include categories with 0 occurances
How about something like
SELECT e.name,
COUNT(1)
FROM Event_Categories e INNER JOIN
Events_Categories_Linking ec ON e.id = ec.event_category_id
GROUP BY e.name
SQL Fiddle DEMO

PDO Query : Count related and repeated values then inner join

I work with PHP and PDO.
So I have 2 tables like,
Table 1
| id | name | age |
| 1 | John | 25 |
| 2 | Tom | 32 |
| 3 | James| 45 |
Table 2
| id | Comment | Link |
| 1 | some text | 3 |
| 2 | some text | 3 |
| 3 | some text | 1 |
So, Link column numbers represent id's in table1. For example Link = 3s in table 2 represent James in table 1. I need a query which brings all table1's data and also a number of repeated value for related Link column which comes from table2.
For example, the query should give me (let's choose James),
| id | name | age | Value |
| 3 | James | 45 | 2 |
value=2, because there are two 3s in link column which related to James
I tried somethings but got lots of errors.
I think you just need the GROUP BY
SELECT a.id,
a.name,
a.age,
count(*) as value
FROM table1 a
JOIN table2 b ON a.id = b.link
GROUP BY a.id, a.name, a.age
If you really want just one row then add WHERE
SELECT a.id,
a.name,
a.age,
count(*) as value
FROM table1 a
JOIN table2 b ON a.id = b.link
WHERE a.name = 'James'
GROUP BY a.id, a.name, a.age
or use subquery
SELECT a.id,
a.name,
a.age,
(SELECT count(*) FROM table2 b WHERE a.id = b.link) as value
FROM table1 a
WHERE a.name = 'James'

Mysql + php : select count group by day and user

i have the tables below
USER COMMENT
--------------------- -----------------------
| id | name | id | user_id | date
--------------------- -----------------------
| 1 | joe | 1 | 1 | 2014-10-10
| 2 | jane | 1 | 1 | 2014-10-10
| 3 | ted | 1 | 3 | 2014-10-11
My aim is to create a stats comparaison chart. So i want to extract for each current week days, the number of comment added by each user.
The expected array
-----------------------------
2014-10-10
-----------------------------
joe | 2
jane | 0
ted | 0
------------------------------
2014-10-11
------------------------------
joe | 0
jane | 0
ted | 1
I did a simple left join query and double group by, but the result was not formatted like expected.
Maybe, i have to sort and merge results using php?!
Thank you for the help
What I would do is
Select User.name , Comment.date
From Comment Left Join User On Comment.user_id = User.id
Order By Comment.date Desc
This would return a list with user who commented + date.
Now I would parse the result set :-
$query = "query above";
$rowset = $db->fetchAll($query);
$result = array();
foreach ($rowset as $row) {
$result[$row['date']][$row[User]] += 1
}
This would give you an array
Date1
=>user1
=>count
=>user2
=>count
Date2
=>user3
=>count
=>user4
=>count
Here's my attempt:
SELECT c1.date, c1.name, COUNT(c2.date)
FROM (
SELECT DISTINCT c.date, u.name, u.id
FROM COMMENT c
CROSS JOIN USER u) c1
LEFT JOIN COMMENT c2
ON c1.id = c2.user_id AND c1.date = c2.date
GROUP BY c1.date, c1.id
The difficulty was to obtain a list of all users for each date, which I produced with the sub query c1.

Insert `COUNT(*)` based on separate table

In MySQL is it possible to select columns from one table while also creating a column for COUNT(*) based on other tables? That way a summary of the results from all tables can be returned. This might be a bit confusing to explain in words so I made some sample tables instead:
events_tbl
----------------------------
id | eventname
1 | Anime Festival
2 | Food Festival
----------------------------
booths_tbl
-------------------------
id | boothname
1 | Walmart
2 | Pizza Hut
3 | Nike
4 | North Face
-------------------------
participants_tbl
-----------------------------
id | participantname
1 | John
2 | Mike
3 | Rambo
4 | Minnie
-----------------------------
event_booths_tbl
--------------------------------
event_id | booth_id
1 | 1
1 | 2
1 | 5
2 | 3
2 | 4
--------------------------------
event_participants_tbl
-------------------------------------
event_id | booth_id
1 | 1
1 | 2
1 | 3
1 | 4
-------------------------------------
Is there a way to get results like this in MySQL:
summary_tbl
------------------------------------------------------------------------
id | eventname | booth_count | participant_count
1 | Anime Festival | 3 | 4
2 | Food Festival | 2 | 0
------------------------------------------------------------------------
The event_participants_tbl should contain participant_id instead of booth_id.
Its irrelevant otherwise.
Your MySQL query would be like this :
select
et.id,
et.eventname,
count(distinct ebt.booth_id) as booth_count,
count(distinct ept.participant_id) as participant_count
from
event_booths_tbl ebt
left join events_tbl et on et.id=ebt.event_id
left join event_participants_tbl ept on ept.event_id=ebt.event_id
group by et.event_id;
Join with subqueries that count in each table:
SELECT e.id, e.event_name,
IFNULL(b.booth_count, 0) AS booth_count,
IFNULL(p.participant_count, 0) AS participant_count
FROM events_table AS e
LEFT JOIN (SELECT event_id, COUNT(*) AS booth_count
FROM event_booths_table
GROUP BY event_id) AS b ON e.id = b.event_id
LEFT JOIN (SELECT event_id, COUNT(*) AS participant_count
FROM event_participants_table
GROUP BY event_id) AS p ON e.id = p.event_id
Try this :
select event.id,
event.name,
count(distinct eventBooth.booth_id),
count(distinct eventParitcipant.booth_id)
from events_tbl event
LEFT JOIN event_booths_tbl eventBooth on eventBooth.event_id=event.id
LEFT JOIN event_participants_tbl eventParitcipant
on eventParitcipant.event_id=event.id
group by event.id

GROUP_CONCAT With Nested Set Model

I have an application that uses a nested set model class to organise my data, however I'm trying to write a query that will group_concat my results. I know I need to put some sub select statements somewhere but I can't figure it out!
Here's my structure at the moment:
table: person
-----------+------------+-----------
|Person_ID | Name | Age |
-----------+------------+-----------
| 1 | Mark Vance | 19 |
| 2 | Michael Tsu| 22 |
| 3 | Mark Jones | 29 |
| 4 | Sara Young | 25 |
-----------+------------+-----------
table: person_to_group
----+------------+-----------
|ID | Person_ID | Group_ID |
----+------------+-----------
| 1 | 3 | 1 |
| 2 | 3 | 2 |
| 3 | 1 | 2 |
| 4 | 4 | 3 |
----+------------+-----------
table: groups
----------+--------------+--------------+-------------
|Group_ID | Group_Name | Group_Left | Group_Right |
----------+--------------+--------------+-------------
| 1 | Root | 1 | 6 |
| 2 | Node | 2 | 5 |
| 3 | Sub Node | 3 | 4 |
----------+--------------+--------------+-------------
I need to render something like this with my results:
//Grab the group_IDs for this person and put them in the class tag...
<li class="2 3">Sara Young is in the Sub Node Group</li>
Notice that although Sara is in the Sub Node group, she is still being given the id for Node aswell because she is a child of Node.
The following is the query that I am working with as a starting point.
SELECT *, GROUP_CONCAT( CAST( gg.Group_ID AS CHAR ) SEPARATOR ' ' ) Group_IDs
FROM groups gg
LEFT JOIN person_to_group AS t1 ON gg.Group_ID = t1.Group_ID
LEFT JOIN person AS t2 ON t2.Person_ID = t1.Person_ID
GROUP BY t2.per_ID
ORDER BY t2.Name ASC
Any help would be much appreciated!
Here's how I'd write the query:
SELECT p.Name,
GROUP_CONCAT( g.Group_Name ) AS Group_List,
GROUP_CONCAT( CAST( gg.Group_ID AS CHAR ) SEPARATOR ' ' ) AS Group_ID_List
FROM person AS p
INNER JOIN person_to_group AS pg ON p.Person_ID = pg.Person_ID
INNER JOIN groups AS g ON pg.Group_ID = g.Group_ID
INNER JOIN groups AS gg ON g.Group_Left BETWEEN gg.Group_Left AND gg.Group_Right
GROUP BY p.Name
ORDER BY p.Name ASC
Note that if you group by person name, you also need to GROUP_CONCAT the list of group names. According to your schema, a person could belong to multiple groups, because of the many-to-many relationship.
I also recommend against using SELECT * in general. Just specify the columns you need.
This was little bit interesting as I do programming in both MsSQL and MySql. In SQL I have used function called STUFF. In MySQL you can use a function called INSERT. I tried out the below query in MsSQL. Don't have a MySQL handy to try out my query. If I have time I will post the MySQL version of the query.
DECLARE #person TABLE (Person_ID INT, Name VARCHAR(50), Age INT)
INSERT INTO #person VALUES
(1,'Mark Vance',19),
(2,'Michael Tsu',22),
(3,'Mark Jones',29),
(4,'Sara Young',25)
DECLARE #groups TABLE (Group_ID INT, Group_Name VARCHAR(50), Group_Left INT, Group_Right INT)
INSERT INTO #groups VALUES
(1,'Root',1,6),
(2,'Node',2,5),
(3,'Sub Node',3,4)
DECLARE #person_to_group TABLE (ID INT, Person_ID INT, Group_ID INT)
INSERT INTO #person_to_group VALUES
(1,3,1),
(2,3,2),
(3,1,1),
(4,4,1),
(4,1,1)
SELECT *,STUFF((SELECT ',' + CAST(g.Group_ID AS VARCHAR) FROM #groups g
JOIN #person_to_group pg ON g.Group_ID = pg.Group_ID AND pg.Person_ID = a.Person_ID FOR XML PATH('')) , 1, 1, '' ) FROM #person a
Function: INSERT(str,pos,len,newstr)
Documentation: http://dev.mysql.com/doc/refman/5.0/en/string-functions.html#function_insert

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