My DDL is like
create table if not exists sample_t
(
id bigserial NOT NULL constraint sample_t_id primary key,
test_value varchar(255),
test varchar(255) not null,
count bigint not null
);
Sample insert queries
INSERT INTO public.sample_t (id, test_value, test, count) VALUES (1, 'CC1', 'hi-1', 11);
INSERT INTO public.sample_t (id, test_value, test, count) VALUES (2, 'CC2', 'hi-1', 10);
INSERT INTO public.sample_t (id, test_value, test, count) VALUES (3, 'CC1', 'hi-2', 4);
My Query is
select test, sum(count) from sample_t where test_value= 'CC2' group by test;
The o/p is
test | sum
hi-1 | 10
However, I want to list down missing 'test' column values as 0. So the expected o/p should look like:
test | sum
hi-1 | 10
hi-2 | 0
Instead, use conditional aggregation:
select test, sum(case when test_value = 'CC2' then count else 0 end)
from sample_t
group by test;
Alternatively, if you have a table of all test values:
select t.test, coalesce(sum(count), 0)
from test t left join
sample_t s
on s.test = t.test and s.test_value = 'CC2'
group by t.test;
The problem here is that your WHERE clause might completely filter off a test group, should none of its records have the matching test value. You may use a left join here to preserve every initial test value:
SELECT DISTINCT
s1.test,
COALESCE(s2.cnt, 0) AS cnt
FROM sample_t s1
LEFT JOIN
(
SELECT test, COUNT(*) AS cnt
FROM sample_t
WHERE test_value = 'CC2'
GROUP BY test
) s2
ON s1.test = s2.test;
Or, you could use conditional aggregation:
SELECT
test, COUNT(CASE WHEN test_value = 'CC2' THEN 1 END) cnt
FROM sample_t
GROUP BY test;
Related
I'm trying to group by a primary column and a secondary column. I want to ignore NULL in the secondary column unless it's the only value.
CREATE TABLE #tempx1 ( Id INT, [Foo] VARCHAR(10), OtherKeyId INT );
INSERT INTO #tempx1 ([Id],[Foo],[OtherKeyId]) VALUES
(1, 'A', NULL),
(2, 'B', NULL),
(3, 'B', 1),
(4, 'C', NULL),
(5, 'C', 1),
(6, 'C', 2);
I'm trying to get output like
Foo OtherKeyId
A NULL
B 1
C 1
C 2
This question is similar, but takes the MAX of the column I want, so it ignores other non-NULL values and won't work.
I tried to work out something based on this question, but I don't quite understand what that query does and can't get my output to work
-- Doesn't include Foo='A', creates duplicates for 'B' and 'C'
WITH cte AS (
SELECT *,
ROW_NUMBER() OVER (PARTITION BY [Foo] ORDER BY [OtherKeyId]) rn1
FROM #tempx1
)
SELECT c1.[Foo], c1.[OtherKeyId], c1.rn1
FROM cte c1
INNER JOIN cte c2 ON c2.[OtherKeyId] = c1.[OtherKeyId] AND c2.rn1 = c1.rn1
This is for a modern SQL Server: Microsoft SQL Server 2019
You can use a GROUP BY expression with HAVING clause like below one
SELECT [Foo],[OtherKeyId]
FROM #tempx1 t
GROUP BY [Foo],[OtherKeyId]
HAVING SUM(CASE WHEN [OtherKeyId] IS NULL THEN 0 END) IS NULL
OR ( SELECT COUNT(*) FROM #tempx1 WHERE [Foo] = t.[Foo] ) = 1
Demo
Hmmm . . . I think you want filtering:
select t.*
from #tempx1 t
where t.otherkeyid is not null or
not exists (select 1
from #tempx1 t2
where t2.foo = t.foo and t2.otherkeyid is not null
);
My actual problem is a bit more complicated than presented here, I ended up using the idea from Barbaros Özhan solution to count the number of items. This ends up with two inner queries on the data set with two different GROUP BY. I'm able to get the results I need on my real dataset using a query like the following:
SELECT
a.[Foo],
b.[OtherKeyId]
FROM (
SELECT
[Foo],
COUNT([OtherKeyId]) [C]
FROM #tempx1 t
GROUP BY [Foo]
) a
JOIN (
SELECT
[Foo],
[OtherKeyId]
FROM #tempx1 t
GROUP BY [Foo], [OtherKeyId]
) b ON b.[Foo] = a.[Foo]
WHERE
(b.[OtherKeyId] IS NULL AND a.[C] = 0)
OR (b.[OtherKeyId] IS NOT NULL AND a.[C] > 0)
Using Oracle SQL, I need to find the IDs (ICFPROKEYI) that occur more then once, but have a certain field (ICFFLDC) only once:
ICFPROKEYI|ICFKAVKEYI|ICFNUMS|ICFFLDC
----------|----------|-------|-----------------------------
2234884| 5887| 0|Farbe.14870
2234884| 5887| 1|Ueberschrift_i_24291101.18563
2234884| 5888| 0|Farbe.14870
2234884| 5889| 0|Farbe.14870
2234884| 5890| 0|Farbe.14870
2234884| 5896| 0|Farbe.14870
In this case, 2234884, because it appears 6 times but has a value (Ueberschrift_i_24291101.18563) appear only once
You can try this:
select a.ICFPROKEYI from table a join table b
on a.ICFPROKEYI = b.ICFPROKEYI and a.ICFFLDC <> b.ICFFLDC
GROUP BY icfprokeyi and use HAVING count(*) > 1 to get the icfprokeyi that appear more than once and GROUP BY icfprokeyi, icffldc and use HAVING count(*) = 1 to get the icfprokeyi where the icffldc doesn't exist in another row with the same icfprokeyi. Then join both aggregations.
SELECT x1.icfprokeyi
FROM (SELECT t1.icfprokeyi
FROM elbat t1
GROUP BY t1.icfprokeyi
HAVING count(*) > 1) x1
INNER JOIN (SELECT t2.icfprokeyi
FROM elbat t2
GROUP BY t2.icfprokeyi,
t2.icffldc
HAVING count(*) = 1) x2
ON x2.icfprokeyi = x1.icfprokeyi;
Here is the postgres query:
select ICFPROKEYI,ICFFLDC from table group by ICFPROKEYI,ICFFLDC having count(*)=1;
Help yourself to write the oracle equivalent for it.
I've tried this with MySQL and might be applicable in oracle as well.
SELECT ICFPROKEYI
FROM <yourtable> WHERE ICFPROKEYI IN
(
SELECT ICFPROKEYI
FROM <yourtable>
GROUP BY ICFPROKEYI
HAVING COUNT(ICFPROKEYI) > 1
)
GROUP BY ICFPROKEYI, ICFFLDC
HAVING cnt(ICFFLDC) = 1
You can simply use GROUP BY with HAVING (two conditions) as following:
SELECT
ICFPROKEYI
FROM <yourtable>
GROUP BY ICFPROKEYI
HAVING COUNT(1) > 1
AND SUM(CASE WHEN ICFFLDC = 'Ueberschrift_i_24291101.18563'
THEN 1 END) = 1
-- Update
After #ankit specified that it can be any value(not fixed value - Ueberschrift_i_24291101.18563), OP can achieve the desired result using following query:
SELECT ICFPROKEYI
FROM
( SELECT T.ICFPROKEYI,
COUNT(1) OVER(
PARTITION BY T.ICFPROKEYI, ICFFLDC
) AS CNT
FROM YOURTABLE T
)
WHERE CNT = 1
Cheers!!
I have replicated this on my local, please find the below SQL block and try it yourself
drop table test;
CREATE TABLE test(
ICFPROKEYI INTEGER NOT NULL
,ICFKAVKEYI INTEGER NOT NULL
,ICFNUMS number(1,0) NOT NULL
,ICFFLDC VARCHAR(30) NOT NULL
);
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234884,5887,0,'Farbe.14870');
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234884,5887,1,'Ueberschrift_i_24291101.18563');
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234884,5888,0,'Farbe.14870');
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234884,5889,0,'Farbe.14870');
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234884,5888,0,'Farbe.14870');
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234884,5889,0,'Farbe.14870');
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234885,5890,0,'Farbe.14870');
INSERT INTO test(ICFPROKEYI,ICFKAVKEYI,ICFNUMS,ICFFLDC) VALUES (2234885,5896,0,'Farbe.14870');
Query
SELECT A.ICFPROKEYI FROM (select ICFPROKEYI,ICFFLDC, count(*) AS ICFFLDC_CNT from test
group by ICFPROKEYI,ICFFLDC)A LEFT OUTER JOIN
(select ICFPROKEYI,count(*) as ICFPROKEYI_CNT from test group by ICFPROKEYI)B
ON A.ICFPROKEYI = B.ICFPROKEYI WHERE A.ICFFLDC_CNT = 1AND B.ICFPROKEYI_CNT > 1 ;
Hi I need the result of this. so if a entityID matches to a value I need the sum of certain column.I am getting an expression missing error. Can someone point me to where the error is?
Thanks.
SELECT
p.jobTitle,
p.department,
p.person,
ufr.meets,
ufr.exceeds,
CASE
WHEN ufr.entityid = 'AHT' THEN (AD.acdcalls + AD.daacdcalls)
WHEN ufr.entityid = 'ACW' THEN (AD.acdcalls + AD.daacdcalls)
WHEN ufr.entityid = 'Adherence' THEN SUM(AA.totalSched)
WHEN ufr.entityid = 'Conformance' THEN SUM(AS.minutes)
ELSE null
END as weight,
(weight * meets) AS weightedMeets,
(weight * exceeds) AS weightedExceeds
FROM M_PERSON p
JOIN A_TMP5408_UNFLTRDRESULTSAG ufr
ON ufr.department = p.department AND ufr.jobTitle = p.jobTitle
LEFT JOIN M_AvayaDAgentChunk AD
ON AD.person = p.person and ufr.split = AD.split
LEFT JOIN M_AgentAdherenceChunk AA
ON AA.person = p.person
LEFT JOIN M_AgentScheduleChunk AS
ON AS.person = p.person
GROUP BY
p.person,
p.department,
p.jobTitle,
ufr.meets,
ufr.exceeds,
weight,
weightedMeets,
weightedExceeds
As well as the issues mentioned by #GordonLinoff (that AS is a keyword) and #DCookie (you need entityid in the group-by):
you also need acdcalls and daacdcalls in the group-by (unless you can aggregate those);
you can't refer to a column alias in the same level of query, so (weight * meets) AS weightedMeets isn't allowed - you've just define what weight is, in the same select list. You need to use an inline view, or a CTE, if you don't want to repeat the case logic.
I think this does what you want:
SELECT
jobTitle,
department,
person,
meets,
exceeds,
weight,
(weight * meets) AS weightedMeets,
(weight * exceeds) AS weightedExceeds
FROM
(
SELECT
MP.jobTitle,
MP.department,
MP.person,
ufr.meets,
ufr.exceeds,
CASE
WHEN ufr.entityid = 'AHT' THEN (MADAC.acdcalls + MADAC.daacdcalls)
WHEN ufr.entityid = 'ACW' THEN (MADAC.acdcalls + MADAC.daacdcalls)
WHEN ufr.entityid = 'Adherence' THEN SUM(MAAC.totalSched)
WHEN ufr.entityid = 'Conformance' THEN SUM(MASC.minutes)
ELSE null
END as weight
FROM M_PERSON MP
JOIN A_TMP5408_UNFLTRDRESULTSAG ufr
ON ufr.department = MP.department AND ufr.jobTitle = MP.jobTitle
LEFT JOIN M_AvayaDAgentChunk MADAC
ON MADAC.person = MP.person and ufr.split = MADAC.split
LEFT JOIN M_AgentAdherenceChunk MAAC
ON MAAC.person = MP.person
LEFT JOIN M_AgentScheduleChunk MASC
ON MASC.person = MP.person
GROUP BY
MP.person,
MP.department,
MP.jobTitle,
ufr.meets,
ufr.exceeds,
ufr.entityid,
MADAC.acdcalls,
MADAC.daacdcalls
);
Your fist two case branches could be combined since the calculation is the same, but will work either way.
In addition to the alias issue identified by Gordon, I think you'll find you need to use an aggregate function in all the THEN clauses of your CASE statement, and that you need to GROUP BY ufr.entityid as well. Otherwise you'll start getting ora-00979 errors (not a GROUP BY expression). If you don't want the aggregate function in all clauses, then you'll have to group by the expressions you're summing as well.
Small illustration:
CREATE TABLE tt (ID varchar2(32), sub_id varchar2(32), x NUMBER, y NUMBER);
INSERT INTO tt VALUES ('ID1', 'A', 1, 6);
INSERT INTO tt VALUES ('ID1', 'B', 1, 7);
INSERT INTO tt VALUES ('ID2', 'A', 2, 6);
INSERT INTO tt VALUES ('ID2', 'B', 2, 7);
INSERT INTO tt VALUES ('ID3', 'A', 3, 6);
INSERT INTO tt VALUES ('ID3', 'B', 3, 7);
INSERT INTO tt VALUES ('ID3', 'C', 3, 8);
SELECT ID, CASE WHEN sub_id = 'A' THEN SUM(y)
WHEN sub_id = 'B' THEN SUM(x)
ELSE (x + y) END tst
FROM tt
GROUP BY ID
ORA-00979: not a GROUP BY expression (points at sub_id in WHEN)
SELECT ID, CASE WHEN sub_id = 'A' THEN SUM(y)
WHEN sub_id = 'B' THEN SUM(x)
ELSE (x + y) END tst
FROM tt
GROUP BY ID, sub_id
ORA-00979: not a GROUP BY expression (points at x in ELSE)
SQL> SELECT ID, CASE WHEN sub_id = 'A' THEN SUM(y)
2 WHEN sub_id = 'B' THEN SUM(x)
3 ELSE SUM(x + y) END tst
4 FROM tt
5 GROUP BY ID, sub_id;
ID TST
-------------------------------- ----------
ID1 6
ID3 6
ID3 3
ID1 1
ID2 6
ID2 2
ID3 11
i have following table "vehicle_data" :
ID ALERT_TYPE VALUE
58 2 1
58 1 1
104 1 1
104 2 1
Here alert_type = 2 is for GPS value and alert_type=1 is for engine_value .
so if alert_type=2 and its value is =1 then it means its value is correct.
when alert_type=2 and its value is =0 then it means its value is wrong.
same for alert_type=1
so now here i want the following output:
ID gps engine_value
58 1 1
104 1 1
how can i perform this query??
You can do it like this.
SELECT ID
,CASE WHEN [ALERT_TYPE]=2 and [value ]=1 THEN 1 ELSE 0 END as gps
,CASE WHEN [ALERT_TYPE]=1 and [value ]=1 THEN 1 ELSE 0 END as engine
FROM vehicle_data
SELECT ID, alert_type=2 AS gps, alert_type=1 AS [engine] FROM vehicle_data WHERE value=1;
EDITED to account for your explanation of VALUE.
Schema
CREATE TABLE table3 (id int, ALERT_TYPE int)
INSERT table3 VALUES (58, 1), (58, 2), (104, 1), (104, 2)
Query
SELECT *
FROM (
SELECT ID
,ROW_NUMBER() OVER (
PARTITION BY id ORDER BY id
) AS row_num
,gps = CASE
WHEN ALERT_TYPE = 2
THEN 1
ELSE 0
END
,engine = CASE
WHEN ALERT_TYPE = 1
THEN 1
ELSE 0
END
FROM table3
) a
WHERE a.row_num = 1
Output
ID gps engine
58 1 0
104 0 1
One possible way using subqueries :
select
Ids.ID
, gps.VALUE 'gps'
, engine_value.VALUE 'engine_value'
from (select distinct ID from vehicle_data) Ids
left join
(select ID, VALUE from vehicle_data where ALERT_TYPE = 2) gps
on gps.ID = Ids.ID
left join
(select ID, VALUE from vehicle_data where ALERT_TYPE = 1) engine_value
on engine_value.ID = Ids.ID
[SQL Fiddle demo]
I hope this should work for you,
Select ID,sum(gps) as gps ,sum(engine) as engine from
(SELECT ID
,CASE WHEN [ALERT_TYPE]=2 and [value ]=1 THEN 1 ELSE 0 END as gps
,CASE WHEN [ALERT_TYPE]=1 and [value ]=1 THEN 1 ELSE 0 END as engine
FROM vehicle_data
)a
group by id
select x.id,x.alert_type as GPS,x.value as engine_value from (
select ID,alert_type,value,ROW_NUMBER() over (partition by id order by alert_type ) as Rnk from mytable
)x
where Rnk=1
Please check this query in SQL :
create table mytable (id int, alert_type int, value int);
insert into mytable (id, alert_type, value)
values (58, 2, 1),
(58, 1, 1),
(104, 1, 1),
(104, 2, 1);
SELECT distinct ID
,(select count (id) from mytable mt where mt.id=mytable.id and mt.[ALERT_TYPE]=2 and mt.[value ]=1) as gps
,(select count (id) from mytable mt where mt.id=mytable.id and mt.[ALERT_TYPE]=1 and mt.[value ]=1) as engine
FROM mytable
BASED ON YOUR QUESTION I BELIEVE YOU WANT THE DATA IN COLUMN AND TO SUIT YOUR REQUIREMENT I HAVE MADE A SQL FIDDLE WORKING - CODE IS ALSO MENTIONED BELOW -
HERE YOU GO WITH THE WORKING FIDDLE -
WORKING DEMO
SQL CODE FOR REFERNECE -
CREATE TABLE ALERTS (ID INT, ALERT_TYPE INT, VALUE INT)
INSERT INTO ALERTS VALUES (58,2,1)
INSERT INTO ALERTS VALUES (58,1,0)
INSERT INTO ALERTS VALUES (104,1,1)
INSERT INTO ALERTS VALUES (104,2,0)
CREATE TABLE ALERTSVALUE (ID INT, gps INT,engine INT)
INSERT INTO ALERTSVALUE VALUES (58,1,0)
INSERT INTO ALERTSVALUE VALUES (104,0,1)
SELECT A.ID,
CASE A.ALERT_TYPE WHEN 2 THEN 1 ELSE 0 END AS GPS,
CASE A.ALERT_TYPE WHEN 1 THEN 1 ELSE 0 END AS ENGINE_VALUE,
A.VALUE FROM ALERTS A WHERE A.VALUE = 1
EDIT BASED ON COMMENT - TO MERGE THE ROWS FOR BOTH GPS AND ENGINE_VALUE:
SELECT X.ID,X.ALERT_TYPE as GPS,X.VALUE as ENGINE_VALUE
FROM (
SELECT ID,ALERT_TYPE ,VALUE ,ROW_NUMBER() OVER (PARTITION BY ID ORDER BY alert_type ) AS [Rank] FROM ALERTS
)X
WHERE [Rank]=1
SQL FIDDLE DEMO
I have a table X that has column called version that has 4-5 values in it example 1,2,3,4,5
If the column value is 1 or 3 then I am good, else it's and error
question
what is the query so that I want output like this
Total # of values | Total good i.e. value is (1,3) | total failed i.e value not in (1,3)
Can someone please help me with the query
You can try this:
select count(*) as TotalValues
, (select count(*) from test where id in(1, 3)) as TotalGood
, (select count(*) from test where id not in (1, 3)) as TotalFailed
from test
SQL Fiddle DEMO
Based on your comment, if you need the percentage you would use this:
SELECT TotalValues
, TotalGood
, TotalFailed
, Cast(TotalGood as decimal(10, 2))/Cast(TotalValues as decimal(10, 2)) as PercentGood
FROM
(
select count(*) as TotalValues
, (select count(*) from test where id in(1, 3)) as TotalGood
, (select count(*) from test where id not in (1, 3)) as TotalFailed
from test
) x