Sorting string columns in SQL - sql

I already have the argument for the st column..
mysql> SELECT * FROM t ORDER BY LEFT(st,LOCATE(' ',st)), CAST(SUBSTRING(st,LOCATE(' ',st)+1) AS SIGNED);
+----+------+
| id | st |
+----+------+
| 1 | a 1 |
| 3 | a 6 |
| 4 | a 11 |
| 2 | a 11 |
| 5 | b 1 |
| 7 | b 6 |
| 8 | b 12 |
| 6 | b 12 |
+----+------+
this is what it should happen..
+----+------+
| id | st |
+----+------+
| 1 | a 1 |
| 3 | a 6 |
| 2 | a 11 |
| 4 | a 11 |
| 5 | b 1 |
| 7 | b 6 |
| 6 | b 12 |
| 8 | b 12 |
+----+------+
can I do this or not via SQL?

Well from what you show the only difference is that "ties" are broken by the ID column. If that's the case you can just use that as the third sort field:
SELECT *
FROM t
ORDER BY LEFT(st,LOCATE(' ',st)),
CAST(SUBSTRING(st,LOCATE(' ',st)+1) AS SIGNED),
ID

Related

sql (oracle) counting number of overlapping intervals

I have the following problem:
Given the following table test in an oracle sql database:
+----+------+-------+------+
| id | name | start | stop |
+----+------+-------+------+
| 1 | A | 1 | 5 |
+----+------+-------+------+
| 2 | A | 2 | 6 |
+----+------+-------+------+
| 3 | A | 5 | 8 |
+----+------+-------+------+
| 4 | A | 9 | 10 |
+----+------+-------+------+
| 5 | B | 3 | 6 |
+----+------+-------+------+
| 6 | B | 4 | 8 |
+----+------+-------+------+
| 7 | B | 1 | 2 |
+----+------+-------+------+
I would like to find the number of overlapping intervals (endpoints included) [start, stop] n_overlap, for all id having the same name, i.e.:
+----+------+-------+------+-----------+
| id | name | start | stop | n_overlap |
+----+------+-------+------+-----------+
| 1 | A | 1 | 5 | 3 |
+----+------+-------+------+-----------+
| 2 | A | 2 | 6 | 3 |
+----+------+-------+------+-----------+
| 3 | A | 4 | 8 | 3 |
+----+------+-------+------+-----------+
| 4 | A | 9 | 10 | 1 |
+----+------+-------+------+-----------+
| 5 | B | 3 | 6 | 2 |
+----+------+-------+------+-----------+
| 6 | B | 4 | 8 | 2 |
+----+------+-------+------+-----------+
| 7 | B | 1 | 2 | 1 |
+----+------+-------+------+-----------+
One method uses a correlated subquery:
select t.*,
(select count(*)
from test t2
where t2.name = t.name and
t2.start < t.end and
t2.end > t.start
) as num_overlaps
from test t;

SQL - only display rows that have the max value

I have this table that is already sorted but I want it to only display the maximum values... so instead of this table:
+------+-------+
| id | value |
+------+-------+
| 1 | 3 |
| 5 | 3 |
| 4 | 3 |
| 9 | 2 |
| 8 | 2 |
| 3 | 2 |
| 2 | 1 |
| 6 | 1 |
| 7 | 1 |
+------+-------+
I want this:
+------+-------+
| id | value |
+------+-------+
| 1 | 3 |
| 5 | 3 |
| 4 | 3 |
+------+-------+
I'm using SQLite. thanks for any help.
You can do this using a subquery. Here is one way:
select t.*
from t
where t.value = (select max(value) from t);

writing SQL query to show result in specific order

I have this table
+----+--------+------------+-----------+
| Id | day_id | subject_id | period_Id |
+----+--------+------------+-----------+
| 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 2 |
| 8 | 2 | 6 | 1 |
| 9 | 2 | 7 | 2 |
| 15 | 3 | 3 | 1 |
| 16 | 3 | 4 | 2 |
| 22 | 4 | 5 | 1 |
| 23 | 4 | 5 | 2 |
| 24 | 4 | 6 | 3 |
| 29 | 5 | 8 | 1 |
| 30 | 5 | 1 | 2 |
to something like this
| Id | day_id | subject_id | period_Id |
| 1 | 1 | 1 | 1 |
| 8 | 2 | 6 | 1 |
| 15 | 3 | 3 | 1 |
| 22 | 4 | 5 | 1 |
| 29 | 5 | 8 | 1 |
| 2 | 1 | 2 | 2 |
| 2 | 1 | 2 | 2 |
| 16 | 3 | 4 | 2 |
| 23 | 4 | 5 | 2 |
| 30 | 5 | 1 | 2 |
+----+--------+------------+-----------+
SO, I want to choose one period with a different subject each day and doing this for number of weeks. so first subject dose not come until all subject have been chosen.
You can ORDER BY period_id first and then by day_id:
SELECT *
FROM your_table
ORDER BY period_Id, day_Id
LiveDemo

How to aggregate column on changing criteria in SQL (multiple SUMIFS)

Consider the following simplified example:
Table JobTitles
| PersonID | JobTitle | StartDate | EndDate |
|----------|----------|-----------|---------|
| A | A1 | 1 | 5 |
| A | A2 | 6 | 10 |
| A | A3 | 11 | 15 |
| B | B1 | 2 | 4 |
| B | B2 | 5 | 7 |
| B | B3 | 8 | 11 |
| C | C1 | 5 | 12 |
| C | C2 | 13 | 14 |
| C | C3 | 15 | 18 |
Table Transactions:
| PersonID | TransDate | Amt |
|----------|-----------|-----|
| A | 2 | 5 |
| A | 3 | 10 |
| A | 12 | 5 |
| A | 12 | 10 |
| B | 3 | 5 |
| B | 3 | 10 |
| B | 10 | 5 |
| C | 16 | 10 |
| C | 17 | 5 |
| C | 17 | 10 |
| C | 17 | 5 |
Desired Output:
| PersonID | JobTitle | StartDate | EndDate | Amt |
|----------|----------|-----------|---------|-----|
| A | A1 | 1 | 5 | 15 |
| A | A2 | 6 | 10 | 0 |
| A | A3 | 11 | 15 | 15 |
| B | B1 | 2 | 4 | 15 |
| B | B2 | 5 | 7 | 0 |
| B | B3 | 8 | 11 | 5 |
| C | C1 | 5 | 12 | 0 |
| C | C2 | 13 | 14 | 0 |
| C | C3 | 15 | 18 | 30 |
To me this is JobTitles LEFT OUTER JOIN Transactions with some type of moving criteria for the TransDate -- that is, I want to SUM Transaction.Amt if Transactions.TransDate is between JobTitles.StartDate and JobTitles.EndDate per each PersonID.
Feels like some type of partition or window function, but my SQL skills are not strong enough to create an elegant solution. In Excel, this equates to:
SUMIFS(Transaction[Amt], JobTitles[PersonID], Results[#[PersonID]], Transactions[TransDate], ">" & Results[#[StartDate]], Transactions[TransDate], "<=" & Results[#[EndDate]])
Moreover, I want to be able to perform this same logic over several flavors of Transaction tables.
The basic query is:
select jt.PersonID, jt.JobTitle, jt.StartDate, jt.EndDate, coalesce(sum(amt), 0) as amt
from JobTitles jt left join
Transactions t
on jt.PersonId = t.PersonId and
t.TransDate between jt.StartDate and jt.EndDate
group by jt.PersonID, jt.JobTitle, jt.StartDate, jt.EndDate;

trying to write a query with Table A,B where Cond1: A.pc=B.pc & Cond2: (preferred (A.sub = B.Sub) or else any 1 row that meet only Cond1)

I trying to get the result table to contain rows where
Condition1: A.pc=B.pc AND
Condition2: (preferred (A.sub = B.Sub) or
else any one row that satisfy only Condition1)
I have tried the following inner join query and few other join and sub-query but can not figure out exact way to write a query with above strange condition.
SELECT * FROM tblA AS A INNER JOIN tblB AS B
ON A.sub=B.sub
WHERE A.pc=B.pc
tblA
-------------------
| id | pc | sub |
-------------------
| 0 | 5 | abc |
| 1 | 8 | def |
| 2 | 6 | ghi |
| 3 | 2 | jkl |
| 4 | 7 | mno |
| 5 | 19 | pqr |
-------------------
tblB
-------------------------
| pc | sub | uml | ull |
-------------------------
| 3 |arm | 1 | 1 |
| 3 |gtk | 1 | 2 |
| 3 |lmn | 1 | 3 |
| 3 |pop | 1 | 4 |
| 5 |abc | 1 | 5 |
| 5 |hlq | 1 | 6 |
| 5 |pon | 2 | 1 |
| 5 |qrt | 2 | 2 |
| 7 |alo | 2 | 3 |
| 7 |mno | 2 | 4 |
| 7 |ghm | 2 | 5 |
| 7 |stm | 2 | 6 |
| 9 |mck | 2 | 7 |
| 9 |plo | 3 | 1 |
| 9 |rtk | 3 | 2 |
| 9 |ert | 3 | 3 |
| 6 |gji | 3 | 4 |
| 6 |ghi | 3 | 5 |
| 6 |yux | 4 | 1 |
| 6 |del | 4 | 2 |
| 2 |jkl | 4 | 3 |
| 2 |jll | 5 | 4 |
| 2 |uin | 6 | 1 |
| 2 |tro | 6 | 2 |
| 19 |ppm | 6 | 3 |
| 19 |kde | 6 | 4 |
| 19 |grp | 6 | 5 |
| 19 |sho | 6 | 6 |
-------------------------
Expected Result Table:
-------------------------------
| id | pc | sub | uml | ull |
-------------------------------
| 0 | 5 |abc | 1 | 5 |
| 2 | 6 |ghi | 3 | 5 |
| 3 | 2 |jkl | 4 | 3 |
| 4 | 7 |mno | 2 | 4 |
| 5 | 19 |ppm | 6 | 3 | *
-------------------------------
* notice this is a arbitrary row as (A.sub=B.sub) not found
** notice there is no result for id=1 as pc=8 do not exist in tblB
Until someone comes up with a better answer, here is some code that does what you want.
Please, note it might not be a good solution in terms of performance (espcially as your tables grow).
SELECT *
FROM (
SELECT tblA.id, tblB.*
FROM tblA INNER JOIN tblB
ON tblA.pc = tblB.pc AND
tblA.id NOT IN (SELECT tblA.id
FROM tblA INNER JOIN tblB
ON tblA.sub = tblB.sub)
GROUP BY tblA.id
UNION
SELECT tblA.id, tblB.*
FROM tblA INNER JOIN tblB
ON tblA.sub = tblB.sub
GROUP BY tblA.id
) AS tu
ORDER BY id ASC;
See, also, this short demo.
One way of doing it I came up with is to repeat a join condition in where clause:
SELECT *
FROM tblA AS A
INNER JOIN tblB AS B
ON A.pc = B.pc
WHERE A.sub = B.sub
OR A.pc = B.pc