My data looks like:
run | line | checksum | group
-----------------------------
1 | 3 | 123 | 1
1 | 7 | 123 | 1
1 | 4 | 123 | 2
1 | 5 | 124 | 2
2 | 3 | 123 | 1
2 | 7 | 123 | 1
2 | 4 | 124 | 2
2 | 4 | 124 | 2
and I need a query that returns me the new entries in run 2
run | line | checksum | group
-----------------------------
2 | 4 | 124 | 2
2 | 4 | 124 | 2
I tried several things, but I never got to a satisfying answer.
In this case I'm using H2, but of course I'm interested in a general explanation that would help me to wrap my head around the concept.
EDIT:
OK, it's my first post here so please forgive if I didn't state the question precisely enough.
Basically given two run values (r1, r2, with r2 > r1) I want to determine which rows having row = r2 have a different line, checksum or group from any row where row = r1.
select * from yourtable
where run = 2 and checksum = (select max(checksum)
from yourtable)
Assuming your last run will have the higher run value than others, below SQL will help
select * from table1 t1
where t1.run in
(select max(t2.run) table1 t2)
Update:
Above SQL may not give you the right rows because your requirement is not so clear. But the overall idea is to fetch the rows based on the latest run parameters.
SELECT line, checksum, group
FROM TableX
WHERE run = 2
EXCEPT
SELECT line, checksum, group
FROM TableX
WHERE run = 1
or (with slightly different result):
SELECT *
FROM TableX x
WHERE run = 2
AND NOT EXISTS
( SELECT *
FROM TableX x2
WHERE run = 1
AND x2.line = x.line
AND x2.checksum = x.checksum
AND x2.group = x.group
)
A slightly different approach:
select min(run) run, line, checksum, group
from mytable
where run in (1,2)
group by line, checksum, group
having count(*)=1 and min(run)=2
Incidentally, I assume that the "group" column in your table isn't actually called group - this is a reserved word in SQL and would need to be enclosed in double quotes (or backticks or square brackets, depending on which RDBMS you are using).
Related
I have event data that looks like this:
id | instance_id | value
1 | 1 | a
2 | 1 | ap
3 | 1 | app
4 | 1 | appl
5 | 2 | b
6 | 2 | bo
7 | 1 | apple
8 | 2 | boa
9 | 2 | boat
10 | 2 | boa
11 | 1 | appl
12 | 1 | apply
Basically, each row is a user typing a new letter. They can also delete letters.
I'd like to create a dataset that looks like this, let's call it data
id | instance_id | value
7 | 1 | apple
9 | 2 | boat
12 | 1 | apply
My goal is to extract all the complete words in each instance, accounting for deletion as well - so it's not sufficient to just get the longest word or the most recently typed.
To do so, I was planning to do a regex operation like so:
select * from data
where not exists (select * from data d2 where d2.value ~ (d.value || '.'))
Effectively I'm trying to build a dynamic regex that adds matches one character more than is present, and is specific to the row it's matching against.
The code above doesn't seem to work. In Python, I can "compile" a regex pattern before I use it. What is the equivalent in PostgreSQL to dynamically build a pattern?
Try simple LIKE operator instead of regex patterns:
SELECT * FROM data d1
WHERE NOT EXISTS (
SELECT * FROM data d2
WHERE d2.value LIKE d1.value ||'_%'
)
Demo: https://dbfiddle.uk/?rdbms=postgres_9.6&fiddle=cd064c92565639576ff456dbe0cd5f39
Create an index on value column, this should speed up the query a bit.
To find peaks in the sequential data window functions is a good choice. You just need to compare each value with previous and next ones using lag() and lead() functions:
with cte as (
select
*,
length(value) > coalesce(length(lead(value) over (partition by instance_id order by id)),0) and
length(value) > coalesce(length(lag(value) over (partition by instance_id order by id)),length(value)) as is_peak
from data)
select * from cte where is_peak order by id;
Demo
Hello everyone i want to create a procedure that receives a int and a string with the ID's when they are like this:
Int CompeteID = 1
String TeamIDs = "1,8,9"
Meaning there are 3 TeamIDs, TeamID = 1, TeamID = 8 and TeamID = 9.
Here is my DBModel: https://i.gyazo.com/7920cca8000436cfe207353aaa7d172f.png
So what i want to do is to Insert on TeamCompete, the SportID and CompeteID when there are no equal SportID and CompeteID.
Like this:
TeamCompeteID TeamID CompeteID
1 1 1
4 8 1
5 9 1
6 8 1 <---- Can't do this
But i also want to delete from TeamCompete the TeamIDs i dont pass onto the procedure for example:
TeamCompeteID TeamID CompeteID
1 1 1
2 3 1 <---- Delete this
3 4 1 <---- Delete this
But I don't want to delete the TeamCompete's that are on the Event table...
Example:
EventID TeamCompeteID
5 3 <---- Can't delete TeamCompeteID 3
-- even though i didn't past it on TeamIDs
I hope you understanded my explanation.
First and foremost, passing data in this manner is very much a bad idea. You should really try to normalise your data and have one value in each field.
If however, you cannot avoid this, I would recommend you use a string splitting function such as Jeff Moden's if you are on a SQL Server version prior to 2016 (the string_split is built into SQL Server 2016) which returns a table you can join to from a given string and delimiter.
Using Jeff's function above:
select *
from dbo.DelimitedSplit8K('1,8,9',',')
Results in:
+------------+------+
| ItemNumber | Item |
+------------+------+
| 1 | 1 |
| 2 | 8 |
| 3 | 9 |
+------------+------+
So to use with your table:
declare #t table(CompeteID int,TeamID nvarchar(10));
insert into #t values(1,'1,8,9');
select t.CompeteID
,s.Item
from #t t
cross apply dbo.DelimitedSplit8K(t.TeamID,',') s
Results in:
+-----------+------+
| CompeteID | Item |
+-----------+------+
| 1 | 1 |
| 1 | 8 |
| 1 | 9 |
+-----------+------+
You can then use this table in the rest of your update/insert/delete logic.
I have a table that holds actions against specific accounts, the actions are given a numbered SET of actions and within that SET they get a unique, sequential number. We ran into an issue where somehow one of the unique numbers had been duplicated and would like to check for more examples where this might have happened. The table looks a little like this:
Account | Action Set | Action No | Action Code
--------|------------|-----------|------------
001 | 1 | 1 | GEN
001 | 1 | 2 | PHO
001 | 1 | 3 | RAN
001 | 1 | 3 | GEN
002 | 1 | 1 | GEN
002 | 1 | 2 | PHO
002 | 1 | 3 | RAN
I have tried various things I've found through searches on here but can't find anything that looks like it fits my specific circumstances.
For any given account number, I would like to find where within one Action SET the same Action Number is used more than once. I also need to return the full row, not just a count of how many there are.
From the example above, I would expect to see these results, same account, same action set, same action number
Account | Action Set | Action No | Action Code
--------|------------|-----------|------------
001 | 1 | 3 | RAN
001 | 1 | 3 | GEN
I would post what I have tried so far but honestly the extent of the code I have written so far is:
SELECT
TIA
Mark
Based on your description, you can use exists:
select t.*
from t
where exists (select 1
from t t2
where t2.account = t.account and
t2.actionset = t.actionset and
t2.actionno <> t.actionno
);
EDIT:
The above assumes that action numbers are different. Otherwise you can use:
select t.*
from t
where (select count(*)
from t t2
where t2.account = t.account and
t2.actionset = t.actionset
) >= 2;
try this one
Select account,actionset,actioncode,actionno
from table
where (account,actionset)
IN
(
Select account,actionset from table
group by account,actionset
having count(distinct actionno)>1
)
group by account,actionset,actioncode,actionno
Please find my solution for Getting duplicate records from table.
SELECT [ActionSet],ActionCode,[ActionNo]
FROM
(
SELECT *,ROW_NUMBER()OVER(PARTITION by [ActionSet],[ActionNo] ORDER BY
[ActionNo]) as rnk FROM [dbo].[ActionAccount]
) t where t.rnk>1
Thanks .
Related to / copied from this PostgreSQL topic: so-link
Let's say I have a table with two rows
id | value |
----+-------+
1 | 2 |
2 | 3 |
I want to write a query that will duplicate (repeat) each row based on
the value. I want this result (5 rows total):
id | value |
----+-------+
1 | 2 |
1 | 2 |
2 | 3 |
2 | 3 |
2 | 3 |
How is this possible in SQL Anywhere (Sybase SQL)?
The easiest way to do this is to have a numbers table . . . one that generates integers. Perhaps you have one handy. There are other ways. For instance, using a recursive CTE:
with numbers as (
select 1 as n
union all
select n + 1
from numbers
where n < 100
)
select t.*
from yourtable t join
numbers n
on n.n <= value;
Not all versions of Sybase necessarily support recursive CTEs There are other ways to generate such a table or you might already have one handy.
I have a table that is a list of paths between points. I want to create a query to return a list with pointID and range(number of point) from a given point. But have spent a day trying to figure this out and haven't go any where, does any one know how this should be done? ( I am writing this for MS-SQL 2005)
example
-- fromPointID | toPointID |
---------------|-----------|
-- 1 | 2 |
-- 2 | 1 |
-- 1 | 3 |
-- 3 | 1 |
-- 2 | 3 |
-- 3 | 2 |
-- 4 | 2 |
-- 2 | 4 |
with PointRanges ([fromPointID], [toPointID], [Range])
AS
(
-- anchor member
SELECT [fromPointID],
[toPointID],
0 AS [Range]
FROM dbo.[Paths]
WHERE [toPointID] = 1
UNION ALL
-- recursive members
SELECT P.[fromPointID],
P.[toPointID],
[Range] + 1 AS [Range]
FROM dbo.[Paths] AS P
INNER JOIN PointRanges AS PR ON PR.[toPointID] = P.[fromPointID]
WHERE [Range] < 5 -- This part is just added to limit the size of the table being returned
--WHERE P.[fromPointID] NOT IN (SELECT [toPointID] FROM PointRanges)
--Cant do the where statment I want to because it wont allow recurssion in the sub query
)
SELECT * FROM PointRanges
--Want this returned
-- PointID | Range |
-----------|-------|
-- 1 | 0 |
-- 2 | 1 |
-- 3 | 1 |
-- 4 | 2 |
Markus Jarderot's link gives a good answer for this. I end tried using his answer and also tried rewriting my problem in C# and linq but it ended up being more of a mathematical problem than a coding problem because I had a table with several thousands of point that interlinked. This is still something I am interested in and trying to get a better understanding of by reading books on mathematics and graph theory but if anyone else runs into this problem I think Markus Jarderot's link is the best answer you will find.