delete rows in postgresql - sql

I have a log table as follows:
id status1 status2 ref dateofchange
1 10 12 33 1.1.10
2 10 12 34 1.1.15
3 5 8 14 1.5.10
4 10 12 33 2.1.10
and another table tab as follows:
id ref qty commitdate
1 17 5 1.1.10
2 33 8 1.1.10
3 34 7 1.12.14
4 34 8 1.2.16
5 34 8 1.1.15
I have a query which gives me rows from log table:
select *
from log
where status1=10 and status2=12
this gives:
id status1 status2 ref dateofchange
1 10 12 33 1.1.10
2 10 12 34 1.1.15
4 10 12 33 2.1.10
For each of these rows I want to delete all rows from tab where log.ref=tab.ref and tab.commitdate<=log.dateofchange
after deletion tab table should look like:
id ref qty commitdate
1 17 5 1.1.10
4 34 8 1.2.16
i tried to do it with WITH query:
With l as (
select *
from log
where status1=10 and status2=12
)
delete from tab where l.ref=tab.ref and tab.commitdate<=l.dateofchange
However this does not work.
ERROR: missing FROM-clause entry for table "l"
How can I do that?

Joining a table in a DELETE statement has a different syntax as in the update or select statement. You need to use USING in order to join a table in a delete statement
with l as (
select *
from log
where status1=10 and status2=12
)
delete from tab
using l
where l.ref=tab.ref
and tab.commitdate <= l.dateofchange;
or without the CTE:
delete from tab
using log l
where l.ref = tab.ref
and l.status1 = 10
and l.status2 = 12
and tab.commitdate <= l.dateofchange;
This can also be written without a join, using a co-related sub-query:
delete from tab
where exists (select *
from log as l
where l.status1 = 10
and l.status2 = 12
and tab.commitdate <= l.dateofchange);

In order to JOIN you need a USING clause:
WITH l AS (
SELECT *
FROM log
WHERE status1=10 AND status2=12
)
DELETE FROM tab
USING l
WHERE l.ref=tab.ref AND tab.commitdate <= l.dateofchange;

Related

If value is 0 (zero) then increment it with max number +1

I need to UPDATE all new inserted values of 0 with the highest value from the same column + 1. Any value with zero should be updated by the highest value +1. If the highest value is 30 below in the "Preference" column, then the next value should be 31 for Id 11 and 32 for Id 12. New values are inserted every 30 seconds, could be multiple, from the source table that I have no access to into the table below (table 1).
The UPDATE statement is executed when a user drags and drops a row in the web app.
UPDATE [DB].[dbo].[tbl1] SET
Preference = #Preference
WHERE Id = Id
I need to somehow add that logic to this statement described above. This is where I am lost.
Any ideas? Thank you for the help!!
For example:
ID
Preference
Account
3
7
22
6
8
33
7
9
44
9
0
55
11
0
66
Required results:
ID
Preference
Account
3
7
22
6
8
33
7
9
44
9
10
55
11
11
66
Gather the current maximum preference using a cross apply (or you could use a cross join) and together with row_number() ordered by ID you will increment preference as described:
with CTE as (
select id, preference, cp.maxpref, row_number() over(order by id) rn
from mytable
cross apply (select max(preference) maxpref
from mytable p
) cp
where preference = 0
)
update cte
set preference = maxpref + rn
where preference = 0
see db<>fiddle here
select *
from mytable
order by id
ID
Preference
Account
3
7
22
6
8
33
7
9
44
9
10
55
11
11
66

T-SQL How to configure Group by so that specific values would be correctly shown

My current T-SQL query provides the following results:
Query:
WITH CTE AS
(
SELECT SubscriberID, sum(valueMB) as ValuesMB
FROM dbo.InternetNetwork
GROUP BY SubscriberID
),
CTE2 AS (
SELECT ab.planID, a.SubscriberID, MAX(ValuesMB) as MaximumValue
FROM CTE AS a
left join
Subscriber as ab on a.SubscriberID= ab.SubscriberID
GROUP BY ab.planID, a.SubscriberID
)
select *
FROM CTE2 as b
ORDER BY b.MaximumValue desc
Output:
planID | SubscriberID | MaxValue
19 1555 97536.00
18 3528 97478.00
2 4029 93413.00
Query #2:
WITH CTE AS
(
SELECT SubscriberID, sum(valueMB) as ValuesMB
FROM dbo.InternetNetwork
GROUP BY SubscriberID
),
CTE2 AS(
SELECT ab.planID, MAX(ValuesMB) as MaximumValue
FROM CTE AS a
left join
Subscriber as ab on a.SubscriberID= ab.SubscriberID
GROUP BY ab.planID
)
SELECT pl.OperatorID, MAX(b.MaximumValue) as Super
FROM CTE2 as b
left join
Plan as pl on b.planID= pl.planID
GROUP BY pl.operatorID
ORDER BY pl.operatorID
Output #2:
OperatorID | Value
1 93413.00
2 86017.00
3 97536.00
I would like to also include a subscriberID, but I'm unable to figure out a way to do so, as the only way to do it, is including in the last SELECT and adding to GROUP BY, which when done, makes a mess of a result which is not accurate.
My desired output:
OperatorID | Value | SubscriberID
1 93413.00 4029
2 86017.00 164
3 97536.00 1544
internet network data:
SubscriberID ValuesMB
1 28
1 27
2 27
2 27
2 27
3 29
3 28
3 27
3 27
4 27
4 27
4 29
Subscriber Data:
SubscriberID PersonID PlanID
1 1 3
2 2 10
3 2 6
4 3 14
5 3 1
6 4 18
7 5 5
8 5 1
9 5 9
10 5 16
11 6 13
12 6 13
13 6 20
14 6 16
15 7 4
Plan data
PlanID OperatorID
1 1
2 1
3 2
4 2
5 2
6 2
7 2
8 2
9 2
10 2
11 2
12 3
13 3
14 3
15 3
16 3
17 3
18 3
19 3
20 3
The tables are somewhat like this related InternetNetwork-> Subscriber -> Plan. InternetNetwork contains how much each Subscribed has used. Each Subscriber has Plan associated with him. Each Plan contains a different Operator, there are only three. I wish to list all three operators, the data transferred by the subscriber of the plan that has the operator and Subscriber ID.
Window functions allow you to have fields in your select along with aggregate functions. You can do something like this
;WITH CTE AS
(
SELECT I.SubscriberID,
S.PlanID,
SUM(ValuesMB) OVER(PARTITION BY i.SubscriberID)as ValuesMB
FROM dbo.InternetNetwork I
JOIN Subscriber S
ON I.SubscriberID = S.SubscriberID
),
CTE2 AS
(
SELECT p.operatorID,
a.SubscriberID,
a.ValuesMB,
ROW_NUMBER() OVER(PARTITION BY p.operatorID ORDER BY a.ValuesMB DESC) as rn
FROM CTE a
join [Plan] P
on a.planID = P.planID
)
SELECT operatorID,
ValuesMB,
SubscriberID
FROM CTE2
where rn = 1

Select values that are within a certain range but exclude the values that determine the range in Sqlite

In a SQLite local database, I have a 2 column-table, one containing values, and one containing categories. I want to update the categories of certain rows based on the following selection:
select the rows that are in a certain category
determine the values for those rows.
select the rows that have values within a certain range of the values of the already selected rows.
update the rows that are within the second selection, but exclude those that are in the first selection.
The statement that I have now (that does not work) is as follows:
UPDATE table SET category = '3' WHERE
(
value BETWEEN
(
((SELECT value FROM table WHERE category = '2') +4)
AND
((SELECT value FROM table WHERE category = '2') -4)
EXCEPT SELECT value FROM table WHERE category = '2'
)
... (further constraints)
)
This runs without error, but does not actually appear to select anything, as nothing is updated. What is the correct way to get this update to work?
EDIT: as requested an example with tables:
rowid
Value
Category
1
20
2
2
30
2
3
40
2
4
70
2
5
5
1
6
19
1
7
26
1
8
42
1
9
49
1
10
52
1
11
71
1
12
90
1
I want the values of the rows that are currently in category 1, to be placed in category 3, based on a range of 4 around the values of the rows that are in category 2. So in this case any row that has category = 1, that has a value of either 16-24, 26-34, 36-44 or 66-74.
rowid
Value
Category
1
20
2
2
30
2
3
40
2
4
70
2
5
5
1
6
19
3
7
26
3
8
42
3
9
49
1
10
52
1
11
71
3
12
90
1
You can use EXISTS:
UPDATE tablename
SET Category = 3
WHERE Category = 1
AND EXISTS (
SELECT 1
FROM tablename t
WHERE t.Category = 2
AND tablename.Value BETWEEN t.Value - 4 AND t.Value + 4
);
See the demo.

T-SQL get all nodes and their last level children using common table expression

I need the last level children of all nodes between the last level and the parent. I am new to recursive ctes and trying to get this result.
Consider the following table:
emp id | mgr id
1 null
2 1
3 1
4 1
5 2
6 2
7 3
8 3
9 4
10 4
11 5
12 6
13 6
14 6
15 11
if the input is (15) then the output should be
mgr id emp id
2 12
2 13
2 14
2 15
5 15
6 12
6 13
6 14
11 15
Searching around the web I figured this can be done using recursive queries but I am unable to.
with cte as
(
select
emp_id, mgr_id
from
emp_heirarchy
where
emp_id in (select MIN(lt.emp_id)
from landing_table lt
inner join emp_heirarchy eh on lt.emp_id = eh.emp_id
group by mgr_id)
union all
select
eh.emp_id, eh.mgr_id
from
emp_heirarchy eh
inner join
cte c on c.mgr_id = eh.emp_id
)
select distinct *
from cte
order by mgr_id
I have tried a few other versions of the above query with no luck.

How to fill in the gaps in a query of totals with zeroes?

I have a table with data like this
picks
20
20
20
18
17
12
12
9
9
This is the table but I need to get result like this.
Picks Count
20 3
19 0
18 1
17 1
16 0
...up to
1 12
How can we write query to get zero totals for data which doesn't exist in the table?
Arun
Use a subquery to generate all the numbers and then outer join it to your table.
with nos as ( select level as pick_id
from dual
connect by level <= 20 )
select nos.pick_id
, count(*)
from nos
left outer join picks
on nos.pick_id = picks.id
group by nos.pick_id
order by nos.pick_id desc ;