I have two tables.
table1:
| ID | NAME |
|----|------|
| 1 | aaa |
| 2 | aaa |
| 3 | aaa |
| 4 | bbb |
| 5 | bbb |
table2:
| ID | DATE |
|----|----------|
| 1 | 12/07/10 |
| 2 | 12/07/13 |
| 3 | 12/07/16 |
| 4 | 12/07/08 |
| 5 | 12/07/20 |
Help me pls, I don't know how to SELECT MAX ID in table1 by date in table2.
For example result should be:
for "aaa": ID 3 from table2
for "bbb": ID 5 from table2
I'm trying something like that:
DATE = (SELECT MAX(DATE) FROM table2 t2, table1 t1 WHERE t1.NAME = "aaa")
But it's not working... Have you got some idea?
You need to add an additional condition (t1.id = t2.id) for the join:
SELECT MAX(DATE)
FROM table2 t2, table1 t1
WHERE t1.NAME = "aaa"
AND t1.id = t2.id
But please - don't join with comma - use explicit JOIN syntax instead:
SELECT MAX(DATE)
FROM table2 t2
JOIN table1 t1
ON t1.id = t2.id
WHERE t1.NAME = "aaa"
You can also get all max dates for all names at once using GROUP BY name:
SELECT t1.NAME, MAX(t2.DATE)
FROM table2 t2
JOIN table1 t1
ON t1.id = t2.id
GROUP BY t1.NAME
I have tried to take the MAX Date using this query.
Note: In the table the date format should be (Y-m-d) and the field should be set to date in order to manipulate the operations
Table - 1(Name: test1)
Table - 2(Name: test2)
QUERY TO GET MAX FROM OTHER TABLE
SELECT MAX(dates) FROM test2 JOIN test1 WHERE test1.name='aaa'
OUTPUT
Hope so this query will solve your problem.
select ID from Table1 where date= (select max(date) from T2 where name= 'aaa'
i didn't fully got you. But I think this is how you want it.... If you had these two table as one table then it would work as charm.
Or THIS ,with Two Table like you asked for
SELECT T1.Id FROM T1 INNER JOIN T2
ON T1.Id = T2.Id
where T2.date = (select max(T2.date) from T1 where T1.name= 'aaa')
Related
I have 2 table
Table 1
id | value
-----------
1 | a
2 | b
3 | c
4 | d
Table 2
id | table1_id | date
------------------------
1 | 1 | 01-01-2020 1:00:00
2 | 1 | 01-01-2020 2:00:00
3 | 1 | 05-01-2020 1:00:00 (*)
4 | 2 | 05-01-2020 1:00:00
5 | 3 | 06-01-2020 1:00:00
6 | 3 | 06-01-2020 2:00:00 (*)
7 | 2 | 07-01-2020 1:00:00 (*)
I want to join table 1 to table 2. get row of table 2 is max value date and group by table1_id
Like exxample, i want get data like this
id | value | table1_id | date
-------------------------------------------------
1 | a | 1 | 05-01-2020 1:00:00
2 | b | 2 | 07-01-2020 1:00:00
3 | c | 1 | 06-01-2020 2:00:00
4 | d | NULL | NULL
I tryed like this, but not work true
SELECT tb1.*, tb2.* FROM table1 AS tb1
LEFT JOIN
( SELECT * FROM table2 ORDER BY date DESC ) AS tb2
ON tb1.id = tb2.table1_id
GROUP BY table1_id
Can someone help me ? Thanks all <3
The old school way of doing this in MySQL might be to join to a subquery which finds the maximum date in the second table for each table1_id:
SELECT
t1.id,
t1.value,
t2.table1_id,
t2.date
FROM table1 t1
LEFT JOIN
(
SELECT t2.table1_id, t2.date
FROM table2 t2
INNER JOIN
(
SELECT table1_id, MAX(date) AS max_date
FROM table2
GROUP BY table1_id
) t
ON t.table1_id = t2.table1_id AND
t.max_date = t2.date
) t2
ON t2.table1_id = t1.id;
Demo
You can try this:
SELECT id, value, table1_id, max(date) date
FROM
(SELECT t1.id, t1.value, t2.table1_id, t2.date
FROM table1 t1 LEFT JOIN table2 t2
ON t1.id = t2.table1_id
) qry
GROUP BY id, value, table1_id
You can also use window function as below
SELECT tb1.*, tb2.table1_id, tb2.date
FROM table1 AS tb1
LEFT JOIN
( SELECT table2.*,
row_number() over(partition by table1_id ORDER BY date DESC) as seq_num
FROM table2 ) AS tb2
ON tb1.id = tb2.table1_id
Where tb2.seq_num = 1 ;
Here is a demo - https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=f52a5a930411dcc04900a1a5bacfe6e9. The demo contains both NULL and not NULL versions.
I strongly recommend that you use window functions for this -- assuming you want mulple columns. This looks like:
select t1.*, t2.*
from table1 t1 left join
(select t2.*,
row_number() over (partition by table1_id order by date DESC) as seqnum
from table2 t2
) t2
on t1.id = t2.table1_id and seq_num = 1 ;
However, if you just want one column -- and the table1_id is redundant so I see no need to include it -- then a correlated subquery is often the fastest method:
select t1.*,
(select max(t2.date) from table2 t2 where t1.id = t2.table1_id)
from table1 t1;
In particular, this can take advantage of an index on table2(table1_id, date).
For example, I have two tables:
ID | Name
------------
1 | test 1
2 | test 2
ID2| ID | Age
--------------
1 | 1 | 18
2 | 1 | 18
3 | 1 | 19
4 | 2 | 18
5 | 2 | 19
I want to have all records that have columns which are multiple in name with age but I don't know how to do that.
I want an output like this:
Name | Age
--------------------
test 1 | 18
test 1 | 18
Can anyone help me?
Try following query:
Select t1.*, t2.*
from table1 t1
join table2 t2
on t1.id = t2.id
join (select id, age
from table2
group by id, age
having count(*) > 1
) t3
on t1.id = t2.id and t2.id = t3.id and t2.age = t3.age
Use exists:
select t.*
from t
where exists (select 1
from t t2
where t2.name = t.name and t2.age = t.age and
t2.id <> t.id
);
With an index on (name, age, id), this should be the fastest approach.
You can also use an IN on tupples.
And a GROUP BY can be combined with a HAVING to only get those that have duplicate (name, age).
SELECT t1.Name, t2.Age
FROM YourTable2 t2
LEFT JOIN YourTable1 t1 ON t1.ID = t2.ID
WHERE (t2.ID, t2.Age) IN (
SELECT ID, Age
FROM YourTable2
GROUP BY ID, Age
HAVING COUNT(*) > 1
);
I have two similar tables
Table 1
| id | name | amount|
| 2 | Mike | 1000 |
| 3 | Dave | 2500 |
Table 2
| id | name | amount|
| 2 | Mike | 1200 |
| 4 | James| 2500 |
I want to query the tables to get a result like this:
| id | name | amount_table1| amount_table2|
| 2 | Mike | 1000 | 1200 |
| 3 | Dave | 2500 | |
| 4 | james| | 2500 |
UNION ALL the tables. Do GROUP BY to get one row per id/name combo.
select id, name, sum(amount1), sum(amount2)
from
(
select id, name, amount as amount1, null as amount2 from table1
union all
select id, name, null, amount from table2
) dt
group by id, name
You need to do union with left and right join
select a.id , a.name , a.amount amount_table1,b.amount amount_table2 from table1 a left join table2 b on (a.id=b.id)
union
select b.id , b.name ,a.amount,b.amount from table1 a right join table2 b on (a.id=b.id)
MySql doesn't support FULL OUTER JOIN.
But it supports LEFT & RIGHT joins and UNION.
select
t1.id, t1.name, t1.amount as amount_table1, t2.amount as amount_table2
from Table1 t1
left join Table2 t2 on t1.id = t2.id
union all
select t2.id, t2.name, t1.amount, t2.amount
from Table2 t2
left join Table1 t1 on t2.id = t1.id
where t1.id is null
The first select will get those only in Table1 and those in both.
The second select will get those only in Table2.
And the UNION glues those resultsets together.
If this were for a database that supports FULL JOIN then it would be simplified to:
select
coalesce(t1.id, t2.id) as id,
coalesce(t1.name, t2.name) as name,
t1.amount as amount_table1,
t2.amount as amount_table2
from Table1 t1
full join Table2 t2 on t1.id = t2.id
Is it possible in only one MySQL query to get the desired result (below) returned into one row ?
Where id=1 in Table 1
Table 1
|------|----------|----------|
| id | refIdOne | refIdTwo |
|------|----------|-----------
| 1 | 1 | 2 |
|------|----------|-----------
Columns "refIdOne" & "refIdTwo" refer Table 2 "id" column
Table 2
|------|------------------|
| id | text |
|------|------------------|
| 1 | cheese |
| 2 | made with milk |
|------|------------------|
Desired result returned in ONE ROW with custom AS columns named "subject" and "description" :
|----------|-----------------|
| subject | description |
|----------|-----------------|
| cheese | made with milk |
? Many thanks for help
* EDIT : Answer is *
select t21.text as subject, t22.text as description
from Table1 as t1
join Table2 as t21 on t1.refidone = t21.id
join Table2 as t22 on t1.refidtwo = t22.id
where t1.id = 1
Table2 has to joined twice to Table1.
select t21.text as subject, t22.text as description
from table1 t1
join table2 t21 on t1.refidone = t21.id
join table2 t22 on t1.refidtwo = t22.id
You need to perform Self join. Join Table2.ID twice with Table1.refIdOne and Table1.refIdTwo
select t2.text as subject, t3.text as description
from Table1 t1
Left join Table2 t2 on t1.refIdOne = t2.id
Left join Table2 t3 on t1.refIdTwo = t2.id
without joins
SELECT
(SELECT text FROM Table2 WHERE id = (SELECT refIdOne FROM Table1 WHERE id = 1) ) AS name,
(SELECT text FROM Table2 WHERE id = (SELECT refIdTwo FROM Table1 WHERE id = 1) ) AS description
I have a couple of tables. I'll try to make it simple: Table_1 ID is unique. Table_2 ID is not unique. The table_2 stores the ID from a row on table_1 and a value, resulting in, for instance, this:
table_1
ID | A
------
1 | a
2 | b
3 | c
table_2
ID | B
------
1 | x
1 | y
3 | z
I want to count how many of each ID is there on table_2, so I do
select t1.id, count(*)
from table_1 t1
group by t1.id
id | count
----------
1 | 2
3 | 1
And I want to list every row on table_2 and its corresponding value on table_1.A, so I do
select t1.id, t1.A, t2.B
from table_2 t2
left join table_1 t1
on t1.id = t2.id
ID | A | B
----------
1 | a | x
1 | a | y
3 | c | z
Is there a way to combine those 2 selections into one, to get a result like this?
ID | A | B | count
------------------
1 | a | x | 2
1 | a | y | 2
3 | c | z | 1
You can combine the results by joining the count result.
Fiddle with sample data
select t1.id, t1.A, t2.B, x.cnt as count
from t2
left join t1
on t1.id = t2.id
join (select t2.id, count(*) as cnt
from t2
group by t2.id
) x
on x.id = t1.id
Besides the generic Derived Table solution posted by #vkp you might also utilize a Scalar Subquery to return a single value:
select t1.id, t1.A, t2.B,
(select count(*)
from t2 as x
where x.id = t2.id
) cnt
from t2
http://www.sqlfiddle.com/#!9/07a3a/6