I am looking to fetch the records from my mongo db which can be extracted from MySQL using a query like this:
select * from tableA where col1 between
(select col1 from tableA where col1 >= 0 and col2 = 'A001') and
(select col1 from tableA where col1 <= 1000 and col2 = 'A008')
In other words, I need to find the data between the records which match the queries for between.
Dataset:
create table tableA (
col1 int,
col2 varchar(255)
);
insert into tableA values(1, "A001");
insert into tableA values(2, "A002");
insert into tableA values(3, "A003");
insert into tableA values(4, "A004");
insert into tableA values(5, "A005");
insert into tableA values(6, "A006");
insert into tableA values(7, "A007");
insert into tableA values(8, "A008");
(Above query tested on MariaDB database)
Related
create table table1(accountno number);
insert into table1 values (1);
insert into table1 values (2);
insert into table1 values (3);
insert into table1 values (4);
insert into table1 values (5);
insert into table1 values (6);
create table table2(accountno number,check_y_n varchar2(20));
insert into table2 (accountno) values (4);
insert into table2 (accountno) values (5);
insert into table2 (accountno) values (6);
insert into table2 (accountno) values (7);
insert into table2 (accountno) values (8);
insert into table2 (accountno) values (9);
I need below two update query in single query using joins. Can anyone help me on this
UPDATE TABLE2 SET check_y_n ='YES' WHERE accountno IN (SELECT accountno FROM TABLE1);
UPDATE TABLE2 SET check_y_n ='NO' WHERE accountno NOT IN (SELECT accountno FROM TABLE1);
Use a CASE expression:
UPDATE TABLE2
SET check_y_n = CASE
WHEN accountno IN (SELECT accountno FROM TABLE1)
THEN 'YES'
ELSE 'NO'
END;
db<>fiddle here
I have two tables, Table A and Table B. Both the table have the "Id" column. Table B is dependent (foreign key) on this "Id". So i want to retrieve the rows which are not present in B.
You seems want :
select a.*
from tablea a
where not exists (select 1 from tableb b where b.id = a.id);
This should work in all flavours of SQL:
select t1.*
from TableA t1
left join TableB t2
on t1.id = t2.id
where t2.id is null
CREATE TABLE TableA
(
ID INT,
[Name] Varchar(500)
)
Insert INTO TableA Values(1, 'James')
Insert INTO TableA Values(2, 'John')
Insert INTO TableA Values(3, 'Betty')
Insert INTO TableA Values(4, 'Sherlin')
CREATE TABLE TableB
(
TableBID INT,
ID INT,
Project Varchar(250)
)
Insert INTO TableB Values(1, 1, 'ABC')
Insert INTO TableB Values(2, 1, 'XYZ')
Insert INTO TableB Values(3, 2 , 'ASD')
Insert INTO TableB Values(4, 1, 'VGF')
Insert INTO TableB Values(5, 3, 'ABC')
Insert INTO TableB Values(6, 3, 'XYZ')
Insert INTO TableB Values(7, 2, 'FGH')
SELECT * FROM TableA a
WHERE exists (SELECT 1 FROM TableB b WHERE b.id = a.id);
OR
SELECT * FROM TABLEA a WHERE ID IN (SELECT ID FROM TableB);
DROP TABLE TABLEA
DROP TABLE TABLEB
Suppose I have a table with a column which looks like:
SELECT Col1
FROM table;
Col1
A
A
B
B
C
C
D
B
E
B
F
I would like to output elements that are between "B"s, which are C, D, E
How can I do that with a query?
declare #t table (ID INT IDENTITY(1,1),col1 VARCHAR(10))
insert into #t (col1) values ('A')
insert into #t (col1) values ('A')
insert into #t (col1) values ('B')
insert into #t (col1) values ('B')
insert into #t (col1) values ('C')
insert into #t (col1) values ('C')
insert into #t (col1) values ('B')
insert into #t (col1) values ('E')
insert into #t (col1) values ('B')
insert into #t (col1) values ('F')
select ID,col1 from #t
where ID between (select MIN(id) from #t WHERE col1 = 'B') and
(select MAX(id) from #t WHERE col1 = 'B')
and col1<>'B'
I have a situation where I need to insert data from table1 to table2. Before insert check if a certain row already exist in the table2, if it does then just update col2, col4 of the row. If it doesn't exist then insert a new row.
I am using SQLSERVER 2008 R2. How could I achieve this?
The situation has changed a bit now. I need something like this.
DECLARE #table1 TABLE
(id int not null, ahccs int not null, info varchar(25), flag varchar(2))
DECLARE #table2 TABLE
(id int not null, ahccs int not null, info varchar(25), flag varchar(2))
INSERT INTO #table1
VALUES(1, 1223, 'et', 'X')
INSERT INTO #table1
VALUES(2, 321, 'et', 'X')
INSERT INTO #table1
VALUES(3, 134, 'et', 'X' )
INSERT INTO #table1
VALUES(4, 168, 'et', 'X' )
INSERT INTO #table1
VALUES(5, 123, 'et', 'X' )
INSERT INTO #table2
VALUES(1, 1223, 'dt', 'y' )
INSERT INTO #table2
VALUES(2, 456, 'dt', 'y' )
INSERT INTO #table2
VALUES(3, 123, 'dt', 'y' )
INSERT INTO #table2
VALUES(4, 193, 'dt', 'y' )
--SELECT * FROM #table1
SELECT * FROM #table2
MERGE
INTO #table2 t2
USING #table1 t1
ON t2.id = t1.id or t2.ahccs = t1.ahccs
WHEN NOT MATCHED THEN
UPDATE
SET flag = 'z'
INSERT VALUES (100, t1.ahccs, t1.info, 'l');
The two issues I am having are:
1) Merge doesn't support multiple steps, I believe.
2) Update is not allowed in WHEN NOT MATCHED case.
Please advise.
Thank You.
You need to use merge, it lets you match the data that you are trying to update or insert ("upsert") against the data that is currently in the table, and perform different actions based on the presence or absence of a match.
MERGE Stock S
USING Trades T ON S.Stock = T.Stock
WHEN MATCHED THEN
UPDATE SET Qty += Delta
WHEN NOT MATCHED THEN
INSERT VALUES (Stock, Delta);
This example is from here.
MERGE
INTO table2 t2
USING table1 t1
ON t2.id = t1.t2_id
WHEN NOT MATCHED THEN
INSERT
VALUES (t1.col1, t1.col2, ...)
WHEN MATCHED THEN
UPDATE
SET col2 = t1.col2,
col4 = t1.col4
I have a table like this:
CREATE TABLE #TEMP(id int, name varchar(100))
INSERT INTO #TEMP VALUES(1, 'John')
INSERT INTO #TEMP VALUES(1, 'Adam')
INSERT INTO #TEMP VALUES(1, 'Robert')
INSERT INTO #TEMP VALUES(1, 'Copper')
INSERT INTO #TEMP VALUES(1, 'Jumbo')
INSERT INTO #TEMP VALUES(2, 'Jill')
INSERT INTO #TEMP VALUES(2, 'Rocky')
INSERT INTO #TEMP VALUES(2, 'Jack')
INSERT INTO #TEMP VALUES(2, 'Lisa')
INSERT INTO #TEMP VALUES(3, 'Amy')
SELECT *
FROM #TEMP
DROP TABLE #TEMP
I am trying to remove all but some records for those that have more than 3 names with the same id. Therefore, I am trying to get something like this:
id name
1 Adam
1 Copper
1 John
2 Jill
2 Jack
2 Lisa
3 Amy
I am not understanding how to write this query. I have gotten to the extent of preserving one record but not a threshold of records:
;WITH FILTER AS
(
SELECT id
FROM #TEMP
GROUP BY id
HAVING COUNT(id) >=3
)
SELECT id, MAX(name)
FROM #TEMP
WHERE id IN (SELECT * FROM FILTER)
GROUP BY id
UNION
SELECT id, name
FROM #TEMP
WHERE id NOT IN (SELECT * FROM FILTER)
Gives me:
1 Robert
2 Rocky
3 Amy
Any suggestions? Oh by the way, I don't care what records are preserved while merging.
You can do it using CTE
CREATE TABLE #TEMP(id int, name varchar(100))
INSERT INTO #TEMP VALUES(1, 'John')
INSERT INTO #TEMP VALUES(1, 'Adam')
INSERT INTO #TEMP VALUES(1, 'Robert')
INSERT INTO #TEMP VALUES(1, 'Copper')
INSERT INTO #TEMP VALUES(1, 'Jumbo')
INSERT INTO #TEMP VALUES(2, 'Jill')
INSERT INTO #TEMP VALUES(2, 'Rocky')
INSERT INTO #TEMP VALUES(2, 'Jack')
INSERT INTO #TEMP VALUES(2, 'Lisa')
INSERT INTO #TEMP VALUES(3, 'Amy')
SELECT *
FROM #TEMP;
WITH CTE(N) AS
(
SELECT ROW_NUMBER() OVER(PARTITION BY id ORDER BY id)
FROM #Temp
)
DELETE CTE WHERE N>3;
SELECT *
FROM #TEMP;
DROP TABLE #TEMP
I will change your select like this (not tested)
select name from #temp group by name having count(id) > 3
then you can implement your query in a delete statement using your select as a where clause
in inner query you can use row_number function over (partition by id)
and then in outer query you have to give condition like below
select id,name from (
SELECT id,name, row_number() over (partition by id order by 1) count_id FROM #test
group by id, name )
where count_id <=3
If i got your question right, you need to get rows when id occurrence 3 or more times
select t1.name,t1.id from tbl1 t1
inner join tbl1 t2 on t1.id = t2.id
group by t1.name, t1.id
having count(t1.id) > 2