How to join colums with different field ids? - sql

Hi everyone. As you can see below I want to count the c.key_value with different c.config_field_id and relation_type_id.
So I just want to join these two select statements. So as a result there should be shown 3 columns, they are:
| parent_id | count(c.key_value) | count(c.key_value(with another config_field_id, relation_type_id)) |
Please help me to solve this problem. Thanks in advance
select parent_id, count(c.key_value) from relation as r
left join config_value_number as c on r.child_id = c.key_value
where c.config_field_id = 100 and relation_type_id = 150
group by parent_id
select parent_id, count(c.key_value) from relation as r
left join config_value_number as c on r.child_id = c.key_value
where c.config_field_id = 101 and relation_type_id = 151
group by parent_id

You can simply use conditional aggregation for that:
select parent_id,
count(case when c.config_field_id=100 then c.key_value end) as key_value_150,
count(case when c.config_field_id=101 then c.key_value end) as key_value_151
from relation r
left join config_value_number c on r.child_id = c.key_value
where (c.config_field_id =100 and relation_type_id =150)
or (c.config_field_id =101 and relation_type_id =151)
group by parent_id

You would just need to join those two select statements instead of actual tables as subqueries.
SELECT parent_id, left_count, right_count
FROM (select parent_id, count(c.key_value) as left_count
from relation as r
left join config_value_number as c
on r.child_id = c.key_value
where c.config_field_id = 100 and relation_type_id = 150 group by parent_id) a
JOIN (select parent_id, count(c.key_value) as right_count
from relation as r
left join config_value_number as c
on r.child_id = c.key_value
where c.config_field_id = 101 and relation_type_id = 151 group by parent_id) b
ON a.parent_id = b.parent_id;

Related

SQL get record when finding in 2 records

Hi I tried to build sql query to find id when is in 2 records (can be more). Let me explained by example
I have 2 tables
C
id
type_id
1
499
1
599
D
type_id
type_name
499
AN
599
DE
And I want to get id which has AN and DE
SELECT *
FROM C
INNER JOIN D
ON D.type_id = C.type_id
WHERE
EXISTS (SELECT 1 FROM D D1 WHERE D1.type_id = C.type_id AND D1.type_name = 'AN') AND
EXISTS (SELECT 1 FROM D D2 WHERE D2.type_id = C.type_id AND D2.type_name = 'DE');
But did not work .Than you for help
If you want all the data from the join then you can use analytic functions:
SELECT id,
type_id,
type_name
FROM (
SELECT c.id,
c.type_id,
d.type_name,
COUNT(CASE d.type_name WHEN 'AN' THEN 1 END) OVER (PARTITION BY c.id)
AS num_an,
COUNT(CASE d.type_name WHEN 'DE' THEN 1 END) OVER (PARTITION BY c.id)
AS num_de
FROM C
INNER JOIN D
ON D.type_id = C.type_id
WHERE d.type_name IN ('AN', 'DE')
)
WHERE num_an > 0
AND num_de > 0;
Which outputs:
ID
TYPE_ID
TYPE_NAME
1
599
DE
1
499
AN
If you just want the id then you can aggregate and use a HAVING clause:
SELECT c.id
FROM C
INNER JOIN D
ON D.type_id = C.type_id
WHERE d.type_name IN ('AN', 'DE')
GROUP BY c.id
HAVING COUNT(CASE d.type_name WHEN 'AN' THEN 1 END) > 0
AND COUNT(CASE d.type_name WHEN 'DE' THEN 1 END) > 0
Which outputs:
ID
1
fiddle
Get the distinct counts of type_name for each ID ensure count = two and limit type_name to 'AN' or 'DE'
SELECT C.ID
FROM C
INNER JOIN D
on C.type_id=D.type_id -- standard join on Type_ID
WHERE D.Type_name in ('AN','DE') -- limit records to only AN/DE since we need both.
GROUP BY C.ID -- group so we get just 1 ID
HAVING Count(Distinct Type_name) = 2 -- ensure distinct count is 2 for each C.ID.
We join the two tables
We limit to ID having either an 'AN' or DE type name
We group by ID's
We count the distinct types for each ID and if it's 2, we know we have an AN and DE type for that ID.
Count distinct is used since I'm unsure if a type_name could be duplicated for a C.ID. It looks possible given table structure. but unsure without known Pk/FK relations. distinct "Might" be able to be removed if we KNOW it's not possible.

How to print child, father, mother from these two tables?

Below are the tables:
relation table
cid
pid
101
202
566
322
875
345
people table
id
name
gender
101
Riya
F
566
Aman
M
202
Rakesh
M
875
lucky
M
202
Reena
F
322
Raina
F
345
Rohit
M
322
Mohit
M
345
Meena
F
output
Child
Mother
Father
Riya
Reena
Rakesh
Aman
Raina
Mohit
Lucky
Rohit
Meena
I tried this:
SELECT mother,
father
FROM (
SELECT id,
name,
sum(
CASE
WHEN gender = 'F' THEN 1
ELSE 0) AS mother,
sum (
CASE
WHEN gender = 'M' THEN 1
ELSE 0) AS father
FROM people
INNER JOIN relation
ON people. id = relation.p_id
GROUP BY id,
name) t1
INNER JOIN relation
ON relation.p_id = t1.id
Please let me know the query, for how to fetch this output. this above query does not work, I am not able to figure how to output child also.
You must join relation to 2 copies of people.
The 1st copy will return the child's name and the 2nd copy will return the names of the parents.
Then group by child and use conditional aggregation to get the names of the parents in one row:
SELECT c.name Child,
MAX(CASE WHEN p.gender = 'F' THEN p.name END) Mother,
MAX(CASE WHEN p.gender = 'M' THEN p.name END) Father
FROM relation r
INNER JOIN people c ON c.id = r.cid
INNER JOIN people p ON p.id = r.pid
GROUP BY r.cid, c.name;
See the demo.
You can join twice and then PIVOT:
SELECT *
FROM (
SELECT c.name AS child,
p.name AS parent,
p.gender
FROM relations r
INNER JOIN people c
ON r.cid = c.id
INNER JOIN people p
ON r.pid = p.id
)
PIVOT (
MAX(parent) FOR gender IN (
'M' AS father,
'F' AS mother
)
)
Which, for the sample data:
CREATE TABLE people (id, name, gender) AS
SELECT 101, 'Riya', 'F' FROM DUAL UNION ALL
SELECT 566, 'Aman', 'M' FROM DUAL UNION ALL
SELECT 202, 'Rakesh', 'M' FROM DUAL UNION ALL
SELECT 875, 'lucky', 'M' FROM DUAL UNION ALL
SELECT 202, 'Reena', 'F' FROM DUAL UNION ALL
SELECT 322, 'Raina', 'F' FROM DUAL UNION ALL
SELECT 345, 'Rohit', 'M' FROM DUAL UNION ALL
SELECT 322, 'Mohit', 'M' FROM DUAL UNION ALL
SELECT 345, 'Meena', 'F' FROM DUAL;
CREATE TABLE relations (cid, pid) AS
SELECT 101, 202 FROM DUAL UNION ALL
SELECT 566, 322 FROM DUAL UNION ALL
SELECT 875, 345 FROM DUAL;
Outputs:
CHILD
FATHER
MOTHER
Riya
Rakesh
Reena
Aman
Mohit
Raina
lucky
Rohit
Meena
db<>fiddle here
Try this one
with cte as
(
select name as child, r.pid as pid
from people p
join relation r
on p.id=r.cid
)
select ee.child as child,
(select name from people PM where id=ee.pid and PM.gender='F') as Mother,
(select name from people PP where id=ee.pid and PP.gender='M') as Father
from cte ee
You can try below query -
SELECT P.name Child, p2.name mother, p3.name father
FROM relation R
JOIN people P ON R.cid = P.id
JOIN people P2 ON R.pid = P.id
AND P.gender = 'F'
JOIN people P3 ON R.pid = P.id
AND P.gender = 'M'
SELECT DISTINCT P1.NAME AS CHILD,(SELECT NAME FROM PEOPLE PM WHERE ID=T.PID AND PM.GENDER='F') AS MOTHER,
(SELECT NAME FROM PEOPLE PP WHERE ID=T.PID AND PP.GENDER='M') AS FATHER FROM
(SELECT R.CID,NAME,R.PID,P.GENDER FROM PEOPLE P,RELATIONS R
WHERE P.ID=R.PID) T,PEOPLE P1
WHERE T.CID=P1.ID;
select * from
(select * from
(select p.firstname as child, (select p1.firstname from persons p1 where r.p_id=p1.id and p1.gender='M') as father
from persons p inner join relations r on
p.id=r.id
) t
where t.father is not null
) as table1
inner join
(select * from
(select p.firstname as child, (select p1.firstname from persons p1 where r.p_id=p1.id and p1.gender='F') as mother
from persons p inner join relations r on
p.id=r.id
) t
where t.mother is not null ) as table2
on table1.child=table2.child
SELECT l.cid AS id,
r.NAME AS Child,
mother.NAME AS Mother,
father.NAME AS Father
FROM testdb.dbo.people r
JOIN testdb.dbo.relation l
ON l.cid = r.id
JOIN (SELECT l.cid AS id,
r.NAME
FROM testdb.dbo.people r
JOIN testdb.dbo.relation l
ON l.pid = r.id
AND gender = 'F') AS mother
ON l.cid = mother.id
JOIN (SELECT l.cid AS id,
r.NAME
FROM testdb.dbo.people r
JOIN testdb.dbo.relation l
ON l.pid = r.id
AND gender = 'M') AS father
ON l.cid = father.id
Query that prints the names of a child and his parents in individual columns respectively in order of the name of the child.
SELECT c.name as child,
MAX(CASE WHEN p.gender = 'F' THEN p.name END) AS mother,
MAX(CASE WHEN p.gender = 'M' THEN p.name END) AS father
FROM relations r
INNER JOIN public."People" c on c.id = r.cid
INNER JOIN public."People" p on p.id = r.pid
GROUP BY r.cid, c.name ORDER BY c.name;
select b.name as child,c.name as father,d.name as mother from relation a join people b on a.cid=b.id
join people c on a.pid=c.id
join people d on a.pid=d.id where c.gender='m' and d.gender='f'

Optimizing SQL query having DISTINCT keyword and functions

I have this query that generates about 40,000 records and the execution time of this query is about 1 minute 30 seconds.
SELECT DISTINCT
a.ID,
a.NAME,
a.DIV,
a.UID,
(select NAME from EMPLOYEE where UID= a.UID and UID<>'') as boss_id,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 1 and id = a.ID) as TERM1,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 2 and id = a.ID) as TERM2,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 3 and id = a.ID) as TERM3,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 4 and id = a.ID) as TERM4,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 5 and id = a.ID) as TERM5,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 6 and id = a.ID) as TERM6,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 7 and id = a.ID) as TERM7,
(select DATE(MAX(create_time)) from XYZ where XYZ_ID= 8 and id = a.ID) as TERM8
FROM EMPLOYEE a
WHERE ID LIKE 'D%'
I tried using group by, different kinds of join to improve the execution time but couldn't succeed.Both the tables ABC and XYZ are indexed.
Also, I think that the root cause of this problem is either the DISTINCT keyword or the MAX function.
How can I optimize the above query to bring down the execution time to at least less than a minute?
Any help is appreciated.
Query is not tested, this is just an idea on how you could get this done in two different ways.
(SQL Server solutions here)
Using LEFT JOIN for each ID should look something like this:
SELECT a.ID,
a.NAME,
a.DIV,
a.UID,
b.Name as boss_id,
MAX(xyz1.create_time) as TERM1,
MAX(xyz2.create_time) as TERM2,
MAX(xyz3.create_time) as TERM3,
MAX(xyz4.create_time) as TERM4,
MAX(xyz5.create_time) as TERM5,
MAX(xyz6.create_time) as TERM6,
MAX(xyz7.create_time) as TERM7,
MAX(xyz8.create_time) as TERM8
FROM EMPLOYEE a
JOIN EMPLOYEE b on a.UID = b.UID and b.UID <> ''
LEFT JOIN XYZ xyz1 on a.ID = xyz1.ID and xyz1.XYZ_ID = 1
LEFT JOIN XYZ xyz2 on a.ID = xyz2.ID and xyz1.XYZ_ID = 2
LEFT JOIN XYZ xyz3 on a.ID = xyz3.ID and xyz1.XYZ_ID = 3
LEFT JOIN XYZ xyz4 on a.ID = xyz4.ID and xyz1.XYZ_ID = 4
LEFT JOIN XYZ xyz5 on a.ID = xyz5.ID and xyz1.XYZ_ID = 5
LEFT JOIN XYZ xyz6 on a.ID = xyz6.ID and xyz1.XYZ_ID = 6
LEFT JOIN XYZ xyz7 on a.ID = xyz7.ID and xyz1.XYZ_ID = 7
LEFT JOIN XYZ xyz8 on a.ID = xyz8.ID and xyz1.XYZ_ID = 8
WHERE a.ID LIKE 'D%'
GROUP BY a.ID, a.NAME, a.DIV, a.UID, b.Name
Using PIVOT would look something like this:
select * from (
SELECT DISTINCT
a.ID,
a.NAME,
a.DIV,
a.UID,
b.NAME as boss_id,
xyz.xyz_id,
xyz.create_time
FROM EMPLOYEE a
JOIN EMPLOYEE b on a.UID = b.UID and b.UID <> ''
LEFT JOIN (SELECT DATE(MAX(create_time)) create_time, XYZ_ID, ID
from XYZ
where XYZ_ID between 1 and 8
group by XYZ_ID, ID) xyz on a.ID = xyz1.ID
WHERE a.ID LIKE 'D%') src
PIVOT (
max(create_time) for xyz_id IN (['1'], ['2'], ['3'], ['4'],
['5'], ['6'], ['7'], ['8'])
) PIV
Give it a shot
I would recommend group by and conditional aggregation:
SELECT e.ID, e.NAME, e.DIV, e.UID,
DATE(MAX(CASE WHEN XYZ_ID = 1 THEN create_time END)) as term1,
DATE(MAX(CASE WHEN XYZ_ID = 2 THEN create_time END)) as term2,
DATE(MAX(CASE WHEN XYZ_ID = 3 THEN create_time END)) as term3,
DATE(MAX(CASE WHEN XYZ_ID = 4 THEN create_time END)) as term4,
DATE(MAX(CASE WHEN XYZ_ID = 5 THEN create_time END)) as term5,
DATE(MAX(CASE WHEN XYZ_ID = 6 THEN create_time END)) as term6,
DATE(MAX(CASE WHEN XYZ_ID = 7 THEN create_time END)) as term7,
DATE(MAX(CASE WHEN XYZ_ID = 8 THEN create_time END)) as term8
FROM EMPLOYEE e LEFT JOIN
XYZ
ON xyz.ID = e.id
WHERE e.ID LIKE 'D%'
GROUP BY e.ID, e.NAME, e.DIV, e.UID;
I don't understand the logic for boss_id, so I left that out. This should improve the performance significantly.

SQL - SUM within subquery

I have the following code that looks at the SalesVol of different products and groups it by transaction_week
SELECT a.transaction_week,
SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (62,236,501,52)
GROUP BY a.transaction_week
ORDER BY a.transaction_week
| tw | SalesVol |
| 1 | 4768 |
| 2 | 4567 |
| 3 | 4354 |
| 4 | 4678 |
I want to be able to have multiple subqueries where I change the series numbers for example.
SELECT a.transaction_week,
(SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (62,236,501,52)) as personal care
(SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (37,202,203,456)) as white goods
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
GROUP BY a.transaction_week
ORDER BY a.transaction_week
I can't get the subqueries at work as it is giving me the overall sum value and not grouping it by transaction_week
Instead of using subqueries, add series to the condition of the CASE statements:
SELECT a.transaction_week,
sum(CASE WHEN series IN (62,236,501,52) AND record_type IN (6,37,13)
THEN quantity ELSE 0 END) as personal_care,
sum(CASE WHEN series IN (37,202,203,456) AND record_type IN (6,37,13)
THEN quantity ELSE 0 END) as white_goods
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
GROUP BY a.transaction_week
ORDER BY a.transaction_week;
You just miss the a.transaction_week in you subquery. The JOIN in outer query is unneccessary.
SELECT a.transaction_week,
(
SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a2
LEFT JOIN table 2 b ON b.Date = a2.transaction_date
LEFT JOIN table 3 c ON c.sku = a2.product
WHERE series in (62,236,501,52) AND a2.transaction_week = a.transaction_week
) as personal care,
(
SELECT SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a 2
LEFT JOIN table 2 b ON b.Date = a2.transaction_date
LEFT JOIN table 3 c ON c.sku = a2.product
WHERE series in (37,202,203,456) AND a2.transaction_week = a.transaction_week
) as white goods
FROM table 1 a
GROUP BY a.transaction_week
ORDER BY a.transaction_week
Try this it would work fast as well as up to your requirement:
SELECT a.transaction_week ,
whitegoods.SalesVol AS 'White Goods' ,
personalcare.SalesVol1 AS 'Personal Care'
FROM table1 a
LEFT JOIN table2 b ON b.[Date] = a.transaction_date
LEFT JOIN table3 c ON c.sku = a.product
CROSS APPLY ( SELECT SUM(CASE WHEN record_type IN ( 6, 37, 13 )
THEN quantity
ELSE 0
END) AS SalesVol
FROM table1 a2
WHERE b.[Date] = a2.transaction_date
AND c.sku = a2.product
AND series IN ( 37, 202, 203, 456 )
AND a2.transaction_week = a.transaction_week
) whitegoods
CROSS APPLY ( SELECT SUM(CASE WHEN record_type IN ( 6, 37, 13 )
THEN quantity
ELSE 0
END) AS SalesVol1
FROM table1 a2
WHERE b.[Date] = a2.transaction_date
AND c.sku = a2.product
AND series IN ( 62, 236, 501, 52 )
AND a2.transaction_week = a.transaction_week
) personalcare
GROUP BY a.transaction_week
ORDER BY a.transaction_week
You should use the UNION operator. Please refer to the query below:
select a.transaction_week, SalesVol from
(SELECT a.transaction_week as transaction_week,
SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (62,236,501,52)
UNION
SELECT a.transaction_week as transaction_week,
SUM(CASE WHEN record_type IN (6,37,13) THEN quantity ELSE 0 END) as SalesVol
FROM table 1 a
LEFT JOIN table 2 b ON b.Date = a.transaction_date
LEFT JOIN table 3 c ON c.sku = a.product
WHERE series in (37,202,203,456)
) AS tbl1
GROUP BY tbl1.transaction_week
ORDER BY tbl1.transaction_week

Flattened SQL query

This is in SQL Server 2014.
Without changing the table structures what is the easiest way you can suggest to change this query (output shown below)
select
a.Id, a.Sku, a.lbl,
Desc,
(select b.Valu where b.Attribute = 'rel') as 'rel',
(select b.Valu where b.Attribute = 'uom') as 'uom',
(select b.Valu where b.Attribute = 'clas') as 'clas'
from
items a
join
itemattributes b on b.id = a.id
Output:
id sku lbl desc rel uom clas
2 X111 X111-456789 red NULL NULL C
2 X111 X111-456789 red NULL Cs NULL
2 X111 X111-456789 red 3 NULL NULL
3 X222 X222-567890 white NULL NULL B
3 X222 X222-567890 white NULL Cs NULL
3 X222 X222-567890 white 2 NULL NULL
4 X333 X333-678901 blue NULL NULL C
4 X333 X333-678901 blue NULL Ea NULL
4 X333 X333-678901 blue 9 NULL NULL
To this output:
id sku lbl desc rel uom clas
2 X111 X111-456789 red 3 Cs C
3 X222 X222-567890 white 2 Cs B
4 X333 X333-678901 blue 9 Ea C
You can use conditional aggregation to group by different attribute values.
select a.Id
, a.Sku
, a.lbl
, [Desc]
, max(case when b.Attribute = 'rel' then b.Valu end) as rel
, max(case when b.Attribute = 'uom' then b.Valu end) as uom
, max(case when b.Attribute = 'clas' then b.Valu end) as clas
from items a
join itemattributes b
on b.id = a.id
group by a.Id
, a.Sku
, a.lbl
, [Desc]
You could try:
select a.Id
, a.Sku
, a.lbl
, Desc
, rel.Valu as 'rel'
, uom.Valu as 'uom'
, clas.Valu as 'clas'
from items a
join itemattributes rel
on rel.id = a.id and rel.Attribute = 'rel'
join itemattributes uom
on uom.id = a.id and uom.Attribute = 'uom'
join itemattributes clas
on clas.id = a.id and clas.Attribute = 'clas'
This assumes you will only want records that have all three values. If this is not a true assumption, try left joins. Note I put the attribute in the join to make it easier if you have to use a left join. if you use inner joins then you could put those in the where clause.
You could do multiple joins:
select a.Id
, a.Sku
, a.lbl
, Desc
, b.Valu as 'rel'
, c.Valu as 'uom'
, d.Valu as 'clas'
from items a
join itemattributes b on b.id = a.id
join itemattributes c on c.id = a.id
join itemattributes d on d.id = a.id
where b.Attribute = 'rel'
and c.Attribute = 'uom'
and d.Attribute = 'clas'
You should also be able to eliminate the joins altogether:
select a.Id
, a.Sku
, a.lbl
, Desc
, (select b.Valu from itemattributes b where b.id = a.id and b.Attribute = 'rel') as 'rel'
, (select b.Valu from itemattributes b where b.id = a.id and b.Attribute = 'uom') as 'uom'
, (select b.Valu from itemattributes b where b.id = a.id and b.Attribute = 'clas') as 'clas'
from items a