I have 3 tables as follows
Table1
Id Name
1 abcd
2 bcd
3 dabc
Table2
Id2 Name2
2 xyz
3 def
4 mno
Table3
Id Id2 Value
1 4 1
2 3 1
3 4 1
Now,
From table1 : I have to select all Id where Name is %abc%
From table2: I have to select Id2 where Name2 is "mno"
From Table3: I have to change value to 0 from 1 where Id's value are from Table1 and Id2 is from Table2.
Table 1:
select Id from Table1 where Name like '%abc%'
Table2 :
select Id2 from Table2 where Name2 = "mno"
Table 3:
update Table3 set Value = 0 where Id in() and Id2=
But, I dont know how to make it 1 single query. Can anyone please guide me up ?
Refer to: prior stack article
You've not explained how T1 relates to T2, So I have assumed a cross join.
Whenever you have a record in T1 with name like '%abc%' (1,3) in your data..
and whenever you have a record in T2 with a name equal to 'mno' 4 then you want the value in table 3 to be 0
so the select we generate should produce
1,4
3,4
and when we inner join this back to table 3 it only selects
Id Id2 Value
1 4 1
3 4 1
Now we generate an update based on this select as outlined in the link provided above...
UPDATE table3
INNER JOIN (
SSELECT t1.ID t1ID, t2.id t2ID
FROM table1 t1
CROSS JOIN table2
WHERE t1.name like '%abc%'
and t2.name like = 'mno') B
on B.t1ID = t3.Id
and B.t2ID = T3.ID2
SET value = 0
Giving us a result of
Id Id2 Value
1 4 0
2 3 1
3 4 0
if we select * from table3
update t3
set t3.Value = 0
from Table3 t3
inner join Table1 t1
on t3.Id = t1.Id
inner join Table2 t2
on t3.Id2 = t2.Id2
where t1.Name like '%abc%' and t2.Name2 = 'mno'
OR
update Table3
set value = 0
where Id in (select Id from Table1 where Name like '%abc%')
and Id2 in (select Id2 from Table2 where Name2 = 'mno')
You should think about UPDATE ... WHERE EXISTS as follows:
update Table3 set Value = 0
WHERE EXISTS (SELECT 1 FROM Table1 where Name LIKE '%abc%' AND Table1.Id=Table3.Id )
AND EXISTS (SELECT 1 FROM Table2 where Name2 = "mno" AND Table2.Id2=Table3.Id2)
Related
This question already has answers here:
Retrieving the last record in each group - MySQL
(33 answers)
Closed 11 months ago.
new to SQL but I'll try to be clear,
I have 3 table, which have corresponding key columns. I need to select the row the MAX Value of a set column, for EACH of it's corresponding column.
Table1
ID1 Value1
1 Marie
2 Max
3 John
Table2
ID2 Value2
1 First
2 Second
3 Third
Table3
ID1 ID2
1 1
1 2
2 1
2 2
2 3
3 1
So far I have something like so;
SELECT T1.Value1, T2.Value2 FROM Table1 T1
INNER JOIN Table3 T3 ON T1.ID1 = T3.ID1
INNER JOIN Table2 T2 ON T3.ID2 = T2.ID1
WHERE (That's where I can't formulate correctly)
So far my tables are correctly joined, but I want to output only the rows where ID2 is at it's max value for the corresponding ID1.
So we'd have
ID1 ID2
1 2
2 3
3 3
And so, from correspondence of value we'd finally have.
Value1 Value2
Marie Second
Max Third
John First
Any help? Also, group by is prohibited.
You must use MAX in WHERE condition:
SELECT
T1.Value1,
T2.Value2
FROM
Table1 T1
INNER JOIN Table3 T3 ON T1.ID1 = T3.ID1
INNER JOIN Table2 T2 ON T3.ID2 = T2.ID1
WHERE
T3.ID2 = (
SELECT
MAX(T3_alias.ID2)
FROM
Table3 AS T3_alias
WHERE
T3_alias.ID1 = T1.ID1
)
I have 2 tables in MySQL database that I would like to join, where I would like to contain all results from table1.
My tables looks like this:
table1
id
name
1
name1
2
name2
3
name3
4
name4
5
name5
6
name6
7
name7
8
name8
table2
id
table1_id
myfield
1
3
test1
2
2
test2
3
1
test1
4
4
test2
5
5
null
6
2
null
What I am trying to achieve is to get a table which contains all the rows from table1 and only the data that is joined from table2.
This is my query:
select * from table1 as t1
left join table2 as t2 on t1.id = t2.table1_id
where myfield="test1"
group by t1.id
But this is not what I want to achieve.
What I want to achieve is to get all records from table1 and to have all related records from table2 where table2.myfield="test1". And for the other for table2.mytable to have null (if they do not fulfil table2.myfield="test1").
Any help is much appreciated!
Thanks!
move the where clause to the on clause:
select * from table1 as t1
left join table2 as t2 on t1.id = t2.table1_id
and myfield="test1"
group by t1.id
BTW: some DBMS does not allow select * with group by. So select the id and some aggregated values or remove group by id
I have a correlated subquery that is validated based on the column value. Even though I read through the sequelize docs and examples on GitHub, I did not really get any working solutions.
Query I am trying to execute
select count(*) from table1 t1
where case when deciding_col=1 then t1.id in
(select distinct t2.id from table2 t2 where t2.id=t1.id and t2.second_condition=132)
else 1=1 end;
Any references or suggestions are appreciated.
Update:
The goal is to fetch all records from table1, but if deciding_col value is true for a record, then I need to check if that particular record exist in table2.
Example:
Table1 Data:
id | name | deciding_col
1 abcd 1
2 edfg 0
3 xyz 0
Table2 Data:
id | second_condition
1 132
Output:
1.
select t1.* from table1 t1
where case when deciding_col=1 then t1.id in
(select distinct t2.id from table2 t2 where t2.id=t1.id and t2.second_condition=132)
else 1=1 end;
id | name | deciding_col
1 abcd 1
2 edfg 0
3 xyz 0
2.
select t1.* from table1 t1
where case when deciding_col=1 then t1.id in
(select distinct t2.id from table2 t2 where t2.id=t1.id and t2.second_condition=133)
else 1=1 end;
id | name | deciding_col
2 edfg 0
3 xyz 0
Given the following table structures:
T1:
id a
1 1
2 2
3 3
T2:
id t1_id b
1 1 1
2 1 2
3 2 3
I need to add the value of t2.b to the value of t1.a where t2.t1_id = t1.id.
A simple update with a join like the following isn't working:
UPDATE t1
JOIN t2
ON t2.t1_id = t1.id
SET t1.a = t1.a + t2.b
WHERE t2.id IN(1,2)
Expected T1 result (adds 1 and 2 to t1.a = 1; 3 to t1.a = 2):
id a
1 4
2 5
3 3
Actual T1 result (only adds 1 to t1.a = 1; 3 to t1.a = 2):
id a
1 2
2 5
3 3
At the moment I'm looking at a select that computes the full sum of values to be added using a group by, and then that result set is joined to the update... This seems like overkill for something so simple though! Does anyone have an elegant and efficient solution?
Came up with this real quickly.
UPDATE T1 AS t
JOIN (
SELECT
t1_id, SUM(b) AS sum_total
FROM
T2
WHERE
t1_id IN (1, 2)
GROUP BY
T2.t1_id
) AS t2 ON t.id = t2.t1_id
SET t.a = t.a + t2.sum_total;
I will explain my problem as simple as possible.
I have written a select query Query1 on Table1 which gives the me the following result
SELECT * FROM Table1 WHERE TypeID=1
ID Column1 Column2 TypeID
1 A A 1
2 B B 1
3 C C 1
I have another table Table2 which has data in the following format
ID Column1 Column2
1 0 0
1 1 1
2 2 2
2 3 3
2 4 4
3 5 5
3 6 6
I have written a another select query Query2 on Table1 which gives the me the following result
SELECT * FROM Table1 WHERE TypeID=2
ID Column1 Column2 TypeID
4 A A 2
5 B B 2
6 C C 2
Table1 and Table2 have no column in common and data in Column1 and Column2 for both TypeID's in Table1 is same and currently data in Table2 has data with values of ID column from Table1 for id's 1,2,3 only and i want to write a select query to select same data from Table2 but with values of ID column from Table1 with TypeID as 2 which I have given below
ID Column1 Column2
4 0 0
4 1 1
5 2 2
5 3 3
5 4 4
6 5 5
6 6 6
how can I achieve this by writing a select query in sql server?
select T1.column1, isnull(T2.column2,0) as column2,
isnull(T2.column3,0) as column3
from table1 T1
left outer join on Table2 T2 on T1.column9=T2.column9
where ....
If I understood the question correctly, the query whould be like that:
SELECT
T_ID.T2_ID,
Column1,
Column2
FROM
Table2
JOIN
(
SELECT
T1.ID AS T1_ID,
T2.ID AS T2_ID
FROM
Table1 AS T1
JOIN Table1 AS T2 ON T1.Column1 = T2.Column1 AND T1.Column2 = T2.Column2
WHERE
T1.TypeID = 1
AND T2.TypeID = 2
) AS T_ID ON Table2.ID = T_ID.T1_ID