I have a record DCP_SC_DOT_TBL where there are 2 keys SETID and CONTRACTID. In addition to this this there are 78 more columns which are checkboxes and contain a value Y or Blank. For example:
SETID CONTRACTID 1 2 3 ...... 78
DCPID 00102 Y Y
DCPID 00192 Y Y Y
Now I want to remove all these columns and create a new row for each non-blank column to create a table, for example, like this:
SETID CONTRACTID Checkbox(New column for all the 78 columns)
DCPID 00102 1
DCPID 00102 3
DCPID 00192 2
DCPID 00192 3
DCPID 00192 78
Can someone please suggest how to achieve this? I want only the column containing some data against the CONTRACTIDs.
In re-reading your post, it sounds like you simply need a large union query:
Select SetId, ContractId, '1' As ColNum,
From SomeTable As S1
Where S1.Col1 = 'Y'
Union All
Select SetId, ContractId, '2'
From SomeTable As S1
Where S1.Col2 = 'Y'
Union All
Select SetId, ContractId, '3'
From SomeTable As S1
Where S1.Col3 = 'Y'
...
Union All
Select SetId, ContractId, '78'
From SomeTable As S1
Where S1.Col78 = 'Y'
If you wanted to result other information from the main table, then you would join this result set to it:
Select
From SomeTable As S
Join (
Select SetId, ContractId, '1' As ColNum,
From SomeTable As S1
Where S1.Col1 = 'Y'
Union All
Select SetId, ContractId, '2'
From SomeTable As S1
Where S1.Col2 = 'Y'
Union All
Select SetId, ContractId, '3'
From SomeTable As S1
Where S1.Col3 = 'Y'
...
Union All
Select SetId, ContractId, '78'
From SomeTable As S1
Where S1.Col78 = 'Y'
) As Z
On Z.SetId = S.SetId
And Z.ContractId = S.ContractId
Related
I have a table that looks like this:
A slowly changing dimension type 2, according to Kimball.
Key is just a surrogate key, a key to make rows unique.
As you can see there are three rows for product A.
Timelines for this product are ok. During time the description of the product changes.
From 1-1-2020 up until 4-1-2020 the description of this product was ProdA1.
From 5-1-2020 up until 12-2-2020 the description of this product was ProdA2 etc.
If you look at product B, you see there are gaps in the timeline.
We use DB2 V12 z/Os. How can I check if there are gaps in the timelines for each and every product?
Tried this, but doesn't work
with selectie (key, tel) as
(select product, count(*)
from PROD_TAB
group by product
having count(*) > 1)
Select * from
PROD_TAB A
inner join selectie B
on A.product = B.product
Where not exists
(SELECT 1 from PROD_TAB C
WHERE A.product = C.product
AND A.END_DATE + 1 DAY = C.START_DATE
)
Does anyone know the answer?
The following query returns all gaps for all products.
The idea is to enumerate (RN column) all periods inside each product by START_DATE and join each record with its next period record.
WITH
/*
MYTAB (PRODUCT, DESCRIPTION, START_DATE, END_DATE) AS
(
SELECT 'A', 'ProdA1', DATE('2020-01-01'), DATE('2020-01-04') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'A', 'ProdA2', DATE('2020-01-05'), DATE('2020-02-12') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'A', 'ProdA3', DATE('2020-02-13'), DATE('2020-12-31') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB1', DATE('2020-01-05'), DATE('2020-01-09') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB2', DATE('2020-01-12'), DATE('2020-03-14') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB3', DATE('2020-03-15'), DATE('2020-04-18') FROM SYSIBM.SYSDUMMY1
UNION ALL SELECT 'B', 'ProdB4', DATE('2020-04-16'), DATE('2020-05-03') FROM SYSIBM.SYSDUMMY1
)
,
*/
MYTAB_ENUM AS
(
SELECT
T.*
, ROWNUMBER() OVER (PARTITION BY PRODUCT ORDER BY START_DATE) RN
FROM MYTAB T
)
SELECT A.PRODUCT, A.END_DATE + 1 START_DT, B.START_DATE - 1 END_DT
FROM MYTAB_ENUM A
JOIN MYTAB_ENUM B ON B.PRODUCT = A.PRODUCT AND B.RN = A.RN + 1
WHERE A.END_DATE + 1 <> B.START_DATE
AND A.END_DATE < B.START_DATE;
The result is:
|PRODUCT|START_DT |END_DT |
|-------|----------|----------|
|B |2020-01-10|2020-01-11|
May be more efficient way:
WITH MYTAB2 AS
(
SELECT
T.*
, LAG(END_DATE) OVER (PARTITION BY PRODUCT ORDER BY START_DATE) END_DATE_PREV
FROM MYTAB T
)
SELECT PRODUCT, END_DATE_PREV + 1 START_DATE, START_DATE - 1 END_DATE
FROM MYTAB2
WHERE END_DATE_PREV + 1 <> START_DATE
AND END_DATE_PREV < START_DATE;
Thnx Mark, will try this one of these days.
Never heard of LAG in DB2 V12 for z/Os
Will read about it
Thnx
I have a column in a postgres database which logs search querystrings for a page on our website.
The column contains data like
"a=2&b=4"
"a=2,3"
"b=4&a=3"
"a=4&a=3"
I'd like to work out the frequency of each value for a certain parameter (a).
value | freq
------|------
3 | 3
2 | 2
4 | 1
Anyway to do this in a single SQL statement?
Something like this:
with all_values as (
select string_to_array(split_part(parameter, '=', 2), ',') as query_params
from the_table d,
unnest(string_to_array(d.querystring, '&')) as x(parameter)
where x.parameter like 'a%'
)
select t.value, count(*)
from all_values av, unnest(av.query_params) as t(value)
group by t.value
order by t.value;
Online example: http://rextester.com/OXM67442
try something like this :
select data_value,count(*) from (
select data_name,unnest(string_to_array(data_values,',')) data_value from (
select split_part(data_array,'=',1) data_name ,split_part(data_array,'=',2) data_values from (
select unnest(string_to_array(mydata,'&')) data_array from mytable
) a
) b
) c where data_name='a' group by 1 order by 1
Assuming tha table that keeps the counts is called paramcount:
WITH vals(v) AS
(SELECT regexp_replace(p, '^.*=', '')
FROM regexp_split_to_table(
'b=4&a=3,2',
'&|,'
) p(p)
)
INSERT INTO paramcount (value, freq)
SELECT v, 1 FROM vals
ON CONFLICT (value)
DO UPDATE SET freq = paramcount.freq + 1
WHERE paramcount.value = EXCLUDED.value;
get csv integer after 'a='
split that to numbers
stat values
select v, count(*) from (
SELECT c,unnest(string_to_array(unnest(regexp_matches(c,'a=([0-9,]+)','g')),',')) as v FROM qrs
) x group by v;
Parametrize:
WITH argname(aname) as (values ('a'::TEXT))
select v, count(*) from (SELECT c,unnest(string_to_array(unnest(regexp_matches(c,aname||'=([0-9,]+)','g')),',')) as v FROM qrs,argname) x group by v;
I have a table looks like,
x y
1 2
2 null
3 null
1 null
11 null
I want to fill the null value by conducting a rolling
function to apply y_{i+1}=y_{i}+x_{i+1} with sql as simple as possible (inplace)
so the expected result
x y
1 2
2 4
3 7
1 8
11 19
implement in postgresql. I may encapsulate it in a window function, but the implementation of custom function seems always complex
WITH RECURSIVE t AS (
select x, y, 1 as rank from my_table where y is not null
UNION ALL
SELECT A.x, A.x+ t.y y , t.rank + 1 rank FROM t
inner join
(select row_number() over () rank, x, y from my_table ) A
on t.rank+1 = A.rank
)
SELECT x,y FROM t;
You can iterate over rows using a recursive CTE. But in order to do so, you need a way to jump from row to row. Here's an example using an ID column:
; with recursive cte as
(
select id
, y
from Table1
where id = 1
union all
select cur.id
, prev.y + cur.x
from Table1 cur
join cte prev
on cur.id = prev.id + 1
)
select *
from cte
;
You can see the query at SQL Fiddle. If you don't have an ID column, but you do have another way to order the rows, you can use row_number() to get an ID:
; with recursive sorted as
(
-- Specify your ordering here. This example sorts by the dt column.
select row_number() over (order by dt) as id
, *
from Table1
)
, cte as
(
select id
, y
from sorted
where id = 1
union all
select cur.id
, prev.y + cur.x
from sorted cur
join cte prev
on cur.id = prev.id + 1
)
select *
from cte
;
Here's the SQL Fiddle link.
Is there a better way to generate [0 ... 9999] than this:
SELECT
(a3.id + a2.id + a1.id + a0.id) id
FROM
(
SELECT 0 id UNION ALL
SELECT 1 UNION ALL
SELECT 2 UNION ALL
SELECT 3 UNION ALL
SELECT 4 UNION ALL
SELECT 5 UNION ALL
SELECT 6 UNION ALL
SELECT 7 UNION ALL
SELECT 8 UNION ALL
SELECT 9
) a0
CROSS JOIN
(
SELECT 0 id UNION ALL
SELECT 10 UNION ALL
SELECT 20 UNION ALL
SELECT 30 UNION ALL
SELECT 40 UNION ALL
SELECT 50 UNION ALL
SELECT 60 UNION ALL
SELECT 70 UNION ALL
SELECT 80 UNION ALL
SELECT 90
) a1
CROSS JOIN
(
SELECT 0 id UNION ALL
SELECT 100 UNION ALL
SELECT 200 UNION ALL
SELECT 300 UNION ALL
SELECT 400 UNION ALL
SELECT 500 UNION ALL
SELECT 600 UNION ALL
SELECT 700 UNION ALL
SELECT 800 UNION ALL
SELECT 900
) a2
CROSS JOIN
(
SELECT 0 id UNION ALL
SELECT 1000 UNION ALL
SELECT 2000 UNION ALL
SELECT 3000 UNION ALL
SELECT 4000 UNION ALL
SELECT 5000 UNION ALL
SELECT 6000 UNION ALL
SELECT 7000 UNION ALL
SELECT 8000 UNION ALL
SELECT 9000
) a3
ORDER BY id
Any feedback appreciated.
You could write it like this:
;WITH x as
(
SELECT 0 id UNION ALL
SELECT 1 UNION ALL
SELECT 2 UNION ALL
SELECT 3 UNION ALL
SELECT 4 UNION ALL
SELECT 5 UNION ALL
SELECT 6 UNION ALL
SELECT 7 UNION ALL
SELECT 8 UNION ALL
SELECT 9
)
SELECT
row_number() over (order by (select 1))-1 id
FROM x a0
CROSS JOIN x a1
CROSS JOIN x a2
CROSS JOIN x a3
By removing the order by you gained a little.
I am not sure why this answer was removed from POST, this also produced desired output
;WITH x as
(
select id from
(values(0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) x(id)
)
SELECT
(a3.id * 1000 +
a2.id * 100 + a1.id * 10 + a0.id) id
FROM x a2
CROSS JOIN x a0
CROSS JOIN x a1
CROSS JOIN x a3
WITH a AS (
SELECT 0 AS a1
UNION ALL
SELECT a1+1 FROM a WHERE a1+1<10000
)
SELECT * FROM a
OPTION (Maxrecursion 10000)
I have this script:
SELECT 'pro' as descript, COUNT(*) as cnt FROM Trade.TradesMen where TradesManAccountType_Value = 2 AND HasTradeListing = 1
UNION ALL
SELECT 'std' as descript, COUNT(*) as cnt FROM Trade.TradesMen tm
INNER JOIN Membership.Members m ON m.MemberId = tm.MemberId
INNER JOIN aspnet_Membership am ON am.UserId = m.AspNetUserId
WHERE tm.TradesManAccountType_Value = 1 AND tm.HasTradeListing = 1 AND am.IsApproved = 1
UNION ALL
SELECT 'listed' as descript, COUNT(*) as cnt FROM Trade.TradesMen where HasTradeListing = 1
UNION ALL
SELECT 'all' as descript, COUNT(*) as cnt FROM Trade.TradesMen
insert into Admin.VersionHistory values(4,cnt,CURRENT_TIMESTAMP) //is NOT correct
this produces:
1 pro 32549
2 std 13096
3 listed 230547
4 all 231638
I want to add the above as rows in my table: Admin.VersionHistory which has columns VersionHistory type int auto-increment and is the ID, Version which is of type varchar(50) and a datatime stamp
thanks
(updated with new info from OP)
From the top of my head, it would look something like this.
INSERT INTO Admin.VersionHistory (Version, NumberOf, DateAndTime)
SELECT descript, CAST(cnt AS VARCHAR), SYSDATE
FROM
(
SELECT 'pro' as descript, COUNT(*) as cnt FROM Trade.TradesMen where TradesManAccountType_Value = 2 AND HasTradeListing = 1
UNION ALL
SELECT 'std' as descript, COUNT(*) as cnt FROM Trade.TradesMen tm
INNER JOIN Membership.Members m ON m.MemberId = tm.MemberId
INNER JOIN aspnet_Membership am ON am.UserId = m.AspNetUserId
WHERE tm.TradesManAccountType_Value = 1 AND tm.HasTradeListing = 1 AND am.IsApproved = 1
UNION ALL
SELECT 'listed' as descript, COUNT(*) as cnt FROM Trade.TradesMen where HasTradeListing = 1
UNION ALL
SELECT 'all' as descript, COUNT(*) as cnt FROM Trade.TradesMen
) ;
This is assuming the VersionHistoryIdcolumn is automatically seeded by the database. With each insert, an ID number will be automatically inserted.
Not sure what you want to achieve with the CURRENT_TIMESTAMP column though. I put SYSDATE as a timestamp.
The NumberOf column contains the count data. Name it as you see fit.
insert into Admin.VersionHistory
SELECT 'all', COUNT(*),current_timestamp FROM Trade.TradesMen