I've got 2 tables. The first table is full of entries. The second table defines what categories that entry belongs to:
Table 1:
entry_id | title
1 | Entry1
2 | Entry2
3 | Entry3
Table 2
entry_id | cat_id
1 | 233
1 | 234
1 | 678
2 | 235
2 | 453
2 | 21
3 | 234
3 | 233
I'm trying to select an entry with a single query of all posts belonging to multiple categories. For example, I want to return the entries belonging to category ids, 233 and 234. I believe this needs a subquery although I'm not quite sure. Any help anybody? :)
Learn about SQL joins.
SELECT * FROM tbl1 JOIN tbl2 USING (entry_id) WHERE cat_id IN (233,234);
See it on sqlfiddle.
UPDATE
To select all entries in both categories, you could group the results of the join and only select those groups that have contain both categories:
SELECT tbl1.*
FROM tbl1 JOIN tbl2 USING (entry_id)
WHERE cat_id IN (233,234)
GROUP BY entry_id
HAVING COUNT(DISTINCT cat_id) = 2
See it on sqlfiddle.
The COUNT(DISTINCT cat_id) can obviously be replaced with the (much less expensive) COUNT(*) if (entry_id, cat_id) is known to be unique in tbl2.
Try this:
select * from entity e
where exists (select * from category c where c.entry_id=e.entry_id AND c.cat_id=233)
and exists (select * from category c where c.entry_id=e.entry_id AND c.cat_id=234)
This returns rows that belong to both 233 and 234 (this is how I read your question, anyway; I may have misunderstood the "belonging to multiple categories" part).
Related
I have the following table structure
TABLE A
Productid price groupId
1 100 A
2 99 A
3 0 A
4 50 B
5 49 B
6 0 B
I populate table A with prices from table B joining on Id. Sometimes table B doesn't have prices.
In cases were b doesn't have price I want to update the price to be another price from that same group, as I can't have a price of zero.
Is there an way to update table a price column using itself based on group? e.g. update productId 3 price to be the price of another product in it's group (1 or 2)
TABLE A after update
Productid price groupId
1 100 A
2 99 A
3 100 A
4 50 B
5 49 B
6 49 B
It seems silly but these are the business rules (it makes sense irl I simplified the problem for the example)
When I tried the following I got Error:
update 'Table A' t1
join (select price ,groupId from 'table A' where Price > 0 group by
groupId) as t2
on t1.groupId = t2.GroupId
SET t1.Price = t2.Price
(conn=58292) Can't reopen table: 'Table A'
I've thought of creating a third temporary table but that seems.... wrong? I am sure there must be a way to do this using update statement and joins
I would phrase the query as:
update tablea a
inner join (select groupId, max(price) price from tablea group by groupId) a1
on a1.groupId = a.groupId
set a.price = a1.price
where a.price = 0 and a1.price > 0
Notes:
the table name should be surrounded with single quotes (those stand for literal strings) - if your table name really contains spaces, then use backticks for quoting (or better, yet, fix the table name!)
I changed the subquery to make it a valid aggregation query - yours has non-aggregated columns that do not belong to the group by clause, which is not a good practice, and might generate errors, depending on the SQL mode of your database
In this demo on DB Fiddlde with your sample data, the content of the table after update is:
Productid | price | groupId
--------: | ----: | :------
1 | 100 | A
2 | 99 | A
3 | 100 | A
4 | 50 | B
5 | 49 | B
6 | 50 | B
I'm having 2 tables. Table A contains a list of people who booked for an event, table B has a list of people the booker from table A brings with him/her. Both tables have many colums with unique data that I need to do certain calculations on in PHP , and as of now I do so by doing queries on the tables with a recursive PHP function to resolve it. I want to simplify the PHP and reduce the amount of queries that come from this recursive function by doing better MYSQL queries but I'm kind of stuck.
Because the table has way to many columns I will give an Excerpt of table A instead:
booking_id | A_customer | A_insurance
1 | 134 | 4
Excerpt of table B:
id | booking_id | B_insurance
1 | 1 | 0
2 | 1 | 1
3 | 1 | 1
4 | 1 | 3
The booking_id in table A is unique and set to auto increment, the booking_id in table b can occur many times (depending on how many guests the client from table A brings with him). Lets say I want to know every selected insurance from customer 134 and his guests, then I want the output like this:
booking_id | insurance
1 | 4
1 | 0
1 | 1
1 | 1
1 | 3
I have tried a couple of joins and this is the closest I've came yet, unfortunately this fails to show the row from A and only shows the matching rows in B.
SELECT a.booking_id,a.A_customer,a.A_insurance,b.booking_id,b.insurance FROM b INNER JOIN a ON (b.booking_id = a.booking_id) WHERE a.booking_id = 134
Can someone point me into the right direction ?
Please note: I have altered the table and column names for stackoverflow so it's easy for you guys to read, so it's possible that there is a typo that would break the query in it right now.
I think you need a union all for this:
select a.booking_id, a.insurance
from a
where a.a_customer = 134
union all
select b.booking_id, b.insurance
from a join
b
on a.booking_id = b.booking_id
where a.a_customer = 134;
The simplest way I can think of to achieve this is to use a UNION:
SELECT booking_id, A_insurance insurance
FROM A
WHERE booking_id = 134
UNION
SELECT booking_id, B_insurance insurance
FROM B
WHERE booking_id = 134
As my understanging of your isso is right, that should give you the result you need:
SELECT a.booking_id,a.insurance FROM a WHERE a.booking_id = 134
union
SELECT a.booking_id,b.insurance FROM b INNER JOIN a ON (b.booking_id = a.booking_id) WHERE a.booking_id = 134
The solution to the topic is evading me.
I have a table looking like (beyond other fields that have nothing to do with my question):
NAME,CARDNUMBER,MEMBERTYPE
Now, I want a view that shows rows where the cardnumber AND membertype is identical. Both of these fields are integers. Name is VARCHAR. Name is not unique, and duplicate cardnumber, membertype should show for the same name, as well.
I.e. if the following was the table:
JOHN | 324 | 2
PETER | 642 | 1
MARK | 324 | 2
DIANNA | 753 | 2
SPIDERMAN | 642 | 1
JAMIE FOXX | 235 | 6
I would want:
JOHN | 324 | 2
MARK | 324 | 2
PETER | 642 | 1
SPIDERMAN | 642 | 1
this could just be sorted by cardnumber to make it useful to humans.
What's the most efficient way of doing this?
What's the most efficient way of doing this?
I believe a JOIN will be more efficient than EXISTS
SELECT t1.* FROM myTable t1
JOIN (
SELECT cardnumber, membertype
FROM myTable
GROUP BY cardnumber, membertype
HAVING COUNT(*) > 1
) t2 ON t1.cardnumber = t2.cardnumber AND t1.membertype = t2.membertype
Query plan: http://www.sqlfiddle.com/#!2/0abe3/1
You can use exists for this:
select *
from yourtable y
where exists (
select 1
from yourtable y2
where y.name <> y2.name
and y.cardnumber = y2.cardnumber
and y.membertype = y2.membertype)
SQL Fiddle Demo
Since you mentioned names can be duplicated, and that a duplicate name still means is a different person and should show up in the result set, we need to use a GROUP BY HAVING COUNT(*) > 1 in order to truly detect dupes. Then join this back to the main table to get your full result list.
Also since from your comments, it sounds like you are wrapping this into a view, you'll need to separate out the subquery.
CREATE VIEW DUP_CARDS
AS
SELECT CARDNUMBER, MEMBERTYPE
FROM mytable t2
GROUP BY CARDNUMBER, MEMBERTYPE
HAVING COUNT(*) > 1
CREATE VIEW DUP_ROWS
AS
SELECT t1.*
FROM mytable AS t1
INNER JOIN DUP_CARDS AS DUP
ON (T1.CARDNUMBER = DUP.CARDNUMBER AND T1.MEMBERTYPE = DUP.MEMBERTYPE )
SQL Fiddle Example
If you just need to know the valuepairs of the 3 fields that are not unique then you could simply do:
SELECT concat(NAME, "|", CARDNUMBER, "|", MEMBERTYPE) AS myIdentifier,
COUNT(*) AS count
FROM myTable
GROUP BY myIdentifier
HAVING count > 1
This will give you all the different pairs of NAME, CARDNUMBER and MEMBERTYPE that are used more than once with a count (how many times they are duplicated). This doesnt give you back the entries, you would have to do that in a second step.
Not sure if this is possible but I have a schema like this:
id | user_id | thread_id
1 | 1 | 1
2 | 4 | 1
3 | 1 | 2
4 | 3 | 2
I am trying to retrieve the thread_id where user_id = 1 and 4. I know that in(1,4) does not fit my needs as its pretty much a OR and will pull up record 3 as well and Exists only returns a bool.
You may use JOIN (that answer already exists) or HAVING, like this:
SELECT
thread_id,
COUNT(1) AS user_count
FROM
t
WHERE
user_id IN (1,4)
GROUP BY
thread_id
HAVING
user_count=2
-check the demo. HAVING will fit better in case of many id's (because with JOIN you'll need to join as many times as many id you have). This is a bit tricky, however: you may do = comparison only if your records are unique per (user_id, thread_id); for example, your user_id can repeat, then use >=, like in this demo.
Try this with join, i guess you need to do AND operation with user_id must be 4 and 1 then
SELECT
t1.thread_id
FROM
TABLE t1
JOIN TABLE t2
ON (t1.user_id = t2.user_id)
WHERE t1.user_id = 1
AND t2.user_id = 4
Good day,
I have a MySQL table which has some duplicate rows that have to be removed while adding a value from one column in the duplicated rows to the original.
The problem was caused when another column had the wrong values and that is now fixed but it left the balances split among different rows which have to be added together. The newer rows that were added must then be removed.
In this example, the userid column determines if they are duplicates (or triplicates). userid 6 is duplicated and userid 3 is triplicated.
As an example for userid 3 it has to add up all balances from rows 3, 11 and 13 and has to put that total into row 3 and then remove rows 11 and 13. The balance columns of both of those have to be added together into the original, lower ID row and the newer, higher ID rows must be removed.
ID | balance | userid
---------------------
1 | 10 | 1
2 | 15 | 2
3 | 300 | 3
4 | 80 | 4
5 | 0 | 5
6 | 65 | 6
7 | 178 | 7
8 | 201 | 8
9 | 92 | 9
10 | 0 | 10
11 | 140 | 3
12 | 46 | 6
13 | 30 | 3
I hope that is clear enough and that I have provided enough info. Thanks =)
Two steps.
1. Update:
UPDATE
tableX AS t
JOIN
( SELECT userid
, MIN(id) AS min_id
, SUM(balance) AS sum_balance
FROM tableX
GROUP BY userid
) AS c
ON t.userid = c.userid
SET
t.balance = CASE WHEN t.id = c.min_id
THEN c.sum_balance
ELSE 0
END ;
2. Remove the extra rows:
DELETE t
FROM
tableX AS t
JOIN
( SELECT userid
, MIN(id) AS min_id
FROM tableX
GROUP BY userid
) AS c
ON t.userid = c.userid
AND t.id > c.min_id
WHERE
t.balance = 0 ;
Once you have this solved, it would be good to add a UNIQUE constraint on userid as it seems you want to be storing the balance for each user here. That will avoid any duplicates in the future. You could also remove the (useless?) id column.
SELECT SUM(balance)
FROM your_table
GROUP BY userid
Should work, but the comment saying fix the table is really the best approach.
You can create a table with the same structure and transfer the data to it with this query
insert into newPriceTable(id, userid, balance)
select u.id, p.userid, sum(balance) as summation
from price p
join (
select userid, min(id) as id from price group by userid
) u ON p.userid = u.userid
group by p.userid
Play around the query here: http://sqlfiddle.com/#!2/4bb58/2
Work is mainly done in MSSQL but you should be able to convert the syntax.
Using a GROUP BY UserID you can SUM() the Balance, join that back to your main table to update the balance across all the duplicates. Finally you can use RANK() to order your duplicate Userids and preserve only the earliest values.
I'd select all this into a new table and if it looks good, deprecate your old table and rename then new one.
http://sqlfiddle.com/#!3/068ee/2