I'm totally stuck on how to create this select. I need to select from the status table only those order_id's which to not have status 2.
Here is the table:
+----+---------+---------+--
| id | order_id| status |
+----+---------+---------+--
| 1 | 1 | 1 |
| 2 | 1 | 2 |
| 3 | 2 | 1 |
| 4 | 2 | 2 |
| 5 | 3 | 1 |
| 1 | 3 | 3 |
| 2 | 4 | 2 |
| 3 | 4 | 1 |
| 4 | 4 | 2 |
| 5 | 5 | 3 |
+----+---------+----------+--
So he select result will be only order_id = 5
Please help!
If you want to include orders with status 1 and exclude those with status 3, then you can use a similar idea:
having sum(case when status_id = 1 then 1 else 0 end) > 0 and
sum(case when status_id = 3 then 1 else 0 end) = 0
EDIT: I like to EXCLUDE those order_id's:
- Which has only status 1 (not status 2)
- and
- which has status 3
Lets have table like this:
id--order-id-Prod---Status
------------------------------
1 1 a 1
6 1 b 2
7 1 a 2
8 1 b 1
9 2 a 1
10 3 a 1
11 3 b 1
12 3 a 2
13 3 b 2
14 4 a 1
15 4 b 1
16 5 a 1
17 5 b 1
18 5 a 2
19 5 b 2
20 5 a 3
21 5 b 3
Select should show only order_id "5"
This is an example of a set-within-sets query:
select order_id
from t
group by order_id
having sum(case when status = 2 then 1 else 0 end) = 0
The having clause counts the number of rows with a status of 2. The = 0 finds the orders with no matches.
EDIT:
If you want to include orders with status 1 and exclude those with status 3, then you can use a similar idea:
having sum(case when status_id = 1 then 1 else 0 end) > 0 and
sum(case when status_id = 3 then 1 else 0 end) = 0
Here's one way.
Select * from TableName
where Order_ID not in (Select order_ID from tableName where status=2)
Another way would be to use the not exists clause.
Another way is to use EXCEPT:
SELECT order_id
FROM StatusTable
EXCEPT
SELECT order_id
FROM StatusTable
WHERE status = 2;
It works in SQL-Server and Postgres (and in Oracle if you replace the EXCEPT with MINUS.)
I think this works, one query to select all ids, one to get those with a status of 2 and left joining on order_id and picking those with null order_id in the list of orders with a status of 2.
select
all_ids.order_id
from
(
select distinct
order_id
from status
) all_ids
left join
(
select
order_id
from status
where status = 2
) two_ids
on all_ids.order_id = two_ids.order_id
where two_ids.order_id is null
Related
I have two table
Let's name as first table: QC_Meeting_Master
Second table: QC_Project_Master I want to calculate count of problems_ID Which is mutually depend on second table
ID | QC_ID | Problems_ID |
___|_______|_____________|
1 | 1 | 2 |
2 | 1 | 7 |
ID | QC_ID | Problem_ID |
___|_______|_____________|
1 | 1 | 7 |
2 | 1 | 7 |
3 | 1 | 7 |
4 | 1 | 7 |
5 | 1 | 2 |
6 | 1 | 2 |
7 | 1 | 2 |
select COUNT(Problem_ID) from [QC_Project_Master] where Problem_ID in
(select Problems_ID from QC_Meeting_Master QMM join QC_Project_Master QPM on QMM.Problems_ID = QPM.Problem_ID)
I have to calculate Count of QC_Project_Master (problem_ID) on basis of QC_Meeting_Master (Problems_ID)
it means for first table: QC_Meeting_Master(Problems_ID) = 2,
then count should be 3
And for Second table: QC_Project_Master (Problems_ID) = 7,
then count should be 4
use conditional aggregation
select sum(case when t2.Problem_ID=2 then 1 else 0 end),
sum(case when t2.Problem_ID=7 then 1 else 0 end) from
table1 t1 join table2 t2 on t1.QC_ID=t2.QC_ID and t1.Problems_ID=t2.Problems_ID
if you need all the group count then use below
select t2.QC_ID,t2.Problems_ID, count(*) from
table1 t1 join table2 t2
on t1.QC_ID=t2.QC_ID and t1.Problems_ID=t2.Problems_ID
group by t2.QC_ID,t2.Problems_ID
As far as I understood your problem this is simple aggregation and JOIN as below:
SELECT mm.QC_ID, mm.Problem_ID, pm.cnt
FROM QC_Meeting_Master mm
INNER JOIN
(
SELECT QC_ID, Problem_ID, COUNT(*) cnt
FROM QC_Project_Master
GROUP BY QC_ID, Problem_ID
) pm
ON pm.QC_ID = mm.QC_ID AND pm.Problem_ID = mm.Problem_ID;
I have a table like this
id, period, tag
1 1 A
1 2 A
1 3 B
1 4 A
1 5 A
1 6 A
2 1 A
2 2 B
2 3 B
2 4 B
2 5 B
2 6 A
I would like to add a new column with a ranking, respecting the order of the row given my column 'period' to obtain something like this
id, period, tag rank
1 1 A 1
1 2 A 1
1 3 B 2
1 4 A 3
1 5 A 3
1 6 A 3
2 1 A 1
2 2 B 2
2 3 B 2
2 4 B 2
2 5 B 2
2 6 A 3
What can I do?
I try rank and dense_rank function without any success
And another candidate for CONDITIONAL_CHANGE_EVENT()
less code, and quite effective, too ...!
WITH
input(id,period,tag) AS (
SELECT 1,1,'A'
UNION ALL SELECT 1,2,'A'
UNION ALL SELECT 1,3,'B'
UNION ALL SELECT 1,4,'A'
UNION ALL SELECT 1,5,'A'
UNION ALL SELECT 1,6,'A'
UNION ALL SELECT 2,1,'A'
UNION ALL SELECT 2,2,'B'
UNION ALL SELECT 2,3,'B'
UNION ALL SELECT 2,4,'B'
UNION ALL SELECT 2,5,'B'
UNION ALL SELECT 2,6,'A'
)
SELECT
*
, CONDITIONAL_CHANGE_EVENT(tag) OVER(PARTITION BY id ORDER BY period) + 1 AS rank
FROM input;
-- out id | period | tag | rank
-- out ----+--------+-----+------
-- out 1 | 1 | A | 1
-- out 1 | 2 | A | 1
-- out 1 | 3 | B | 2
-- out 1 | 4 | A | 3
-- out 1 | 5 | A | 3
-- out 1 | 6 | A | 3
-- out 2 | 1 | A | 1
-- out 2 | 2 | B | 2
-- out 2 | 3 | B | 2
-- out 2 | 4 | B | 2
-- out 2 | 5 | B | 2
-- out 2 | 6 | A | 3
-- out (12 rows)
-- out
-- out Time: First fetch (12 rows): 14.823 ms. All rows formatted: 14.874 ms
One method is a cumulative sum based on a lag():
select t.*,
sum(case when prev_tag = tag then 0 else 1 end) over (partition by id order by period) as rank
from (select t.*, lag(tag) over (partition by id order by period) as prev_tag
from t
) t;
Let's assume I have a report that displays an ID and VALUE from different tables
| ID | VALUE |
|----|-------|
1 | 1 | 1 |
2 | 1 | 0 |
3 | 1 | 1 |
4 | 2 | 0 |
5 | 2 | 0 |
My goal is to display this table with grouped IDs and VALUEs. My rule to grouping VALUEs would be "If VALUE contains atleast one '1' then display '1' otherwise display '0'".
My current SQL is (simplified)
SELECT
TABLE_A.ID,
CASE
WHEN TABLE_B.VALUE = 1 OR TABLE_C.VALUE NOT IN (0,1,2,3)
THEN 1
ELSE 0
END AS VALUE
FROM TABLE_A, TABLE_B, TABLE_C
GROUP BY
TABLE_A.ID
(CASE
WHEN TABLE_B.VALUE = 1 OR TABLE_C.VALUE NOT IN (0,1,2,3)
THEN 1
ELSE 0
END)
The output is following
| ID | VALUE |
|----|-------|
1 | 1 | 1 |
2 | 1 | 0 |
3 | 2 | 0 |
Which is half way to the output I want
| ID | VALUE |
|----|-------|
1 | 1 | 1 |
2 | 2 | 0 |
So my Question is: How do I extend my current SQL (or change it completely) to get my desired output?
If you are having only 0 and 1 as distinct values in FOREIGN_VALUE column then using max() function as mentioned by HoneyBadger in the comment will fulfill your requirement.
SELECT
ID,
MAX(FOREIGN_VALUE) AS VALUE
FROM (SELECT
ID,
CASE WHEN FOREIGN_VALUE = 1
THEN 1
ELSE 0
END AS FOREIGN_VALUE
FROM TABLE,
FOREIGN_TABLE)
GROUP BY
ID;
Assuming value is always 0 or 1, you can do:
select id, max(value) as value
from t
group by id;
If value can take on other values:
select id,
max(case when value = 1 then 1 else 0 end) as value
from t
group by id;
If I have 2 tables:
TABLE_SEARCHFIELDS:
FieldID | FieldName
--------------------
1 | MyField1
2 | MyField2
3 | MyField3
4 | MyField4
5 | MyField5
and
TABLE_CUSTOMSEARCHFIELDS:
UserID | FieldID
--------------------
1 | 1
1 | 2
1 | 5
2 | 2
2 | 4
2 | 5
and I would like to return all of the Searchfields from the first table, but would also like indicated whether that Searchfield is active for a particular user.
E.g. I want to query UserID = 1 and get the result:
FieldID | FieldName | Active
------------------------------
1 | MyField1 | 1
2 | MyField2 | 1
3 | MyField3 | 0
4 | MyField4 | 0
5 | MyField5 | 1
What is the best way to achieve this?
I would do this using exists:
select sf.*,
(case when exists (select 1
from customsearchfields csf
where csf.userid = 1 and csf.fieldid = sf.fieldid
)
then 1 else 0
end) as Active
from searchfields sf;
Assuming you have no duplicate rows, you can also do this using a left join:
select sf.*, (case when csf.userid is not null then 1 else 0 end) as Active
from searchfields sf left join
customsearchfields csf
on csf.userid = 1 and csf.fieldid = sf.fieldid;
I have two tables:
Table alpha:
ID | Name
---------
1 | A
2 | B
3 | C
Table beta:
ID | state
----------
1 | 1
1 | 2
1 | 2
2 | 1
I would like to get a result like the following:
ID | Count(state=1) | Count (state=2)
-------------------------------------
1 | 1 | 2
2 | 1 | 0
3 | 0 | 0
How do I do this with SQL?
I can get the table without the result of ID 3, but that is not what I want.
Thanks in advance!
SELECT a.ID,
SUM(CASE WHEN b.state = 1 THEN 1 ELSE 0 END) AS State1Count,
SUM(CASE WHEN b.state = 2 THEN 1 ELSE 0 END) AS State2Count
FROM alpha a
LEFT JOIN beta b
ON a.ID = b.ID
GROUP BY a.ID