There is one table which is having only one row with 4 date columns ,initially all date value are null so
if Exists(select 1 from rep_master where pacdt_1=null OR
pacdt_2=null OR
pacdt_3=null OR
pacdt_4=null)
select 0
else
select 1
this one is returning 1
if Exists(select 1 from rep_master where ISNULL(pacdt_1,0)=0 or
ISNULL(pacdt_2,0)=0 or
ISNULL(pacdt_3,0)=0 or
ISNULL(pacdt_4,0)=0 )
select 0
else
select 1
this one is returning 0 ,which is correct result
I m unable to figure out what is wrong with first query?
use IS NULL rather than = NULL
so:
if Exists(select 1 from rep_master
where pacdt_1 is null OR pacdt_2 is null OR
pacdt_3 is null OR pacdt_4 is null)
select 0
else
select 1
You can't equal null, you have to use IS
if Exists(select 1 from rep_master where pacdt_1 IS null OR
pacdt_2 IS NULL OR
pacdt_3 IS NULL OR
pacdt_4 IS NULL)
select 0
else
select 1
to get where the value is not null you use IS NOT
if Exists(select 1 from rep_master where pacdt_1 IS NOT null OR
pacdt_2 IS NOT NULL OR
pacdt_3 IS NOT NULL OR
pacdt_4 IS NOT NULL)
select 0
else
select 1
Related
I want result in Sql query
id1 id2 id3 Count Id
A001 A001 A001 3
A001 NULL A001 2
A001 NULL NULL 1
In SQL Server, i would use VALUES construct :
SELECT t.*,
(SELECT COUNT(tt.ids) FROM ( VALUES (t.id1), (t.id2), (t.id3) ) tt(ids)
) as Count_Id
FROM table t;
In standard SQL you can use CASE Expression :
SELECT t.*,
( (CASE WHEN ID1 IS NOT NULL THEN 1 ELSE 0 END) +
(CASE WHEN ID2 IS NOT NULL THEN 1 ELSE 0 END) +
(CASE WHEN ID3 IS NOT NULL THEN 1 ELSE 0 END)
) AS Count_Id
FROM table t
are you find something like below
select id1,id2,id3,
case when id1 is not null then 1 else 0 end+
case when id2 is not null then 1 else 0 end+
case when id3 is not null then 1 else 0 end as val
I have a table that I want to count number of fields which their field is not null. How I can return the result?
SELECT * FROM `fakelos2` WHERE fields are not Null
Instead of are use is, while to count rows for particular field, you use count function like below:
SELECT count(*)
FROM fakelos2
WHERE fields is not null
Now you have to count each and every field then you have to use case when then like below:
SELECT
((CASE WHEN field1 IS NULL THEN 1 ELSE 0 END)
+ (CASE WHEN field2 IS NULL THEN 1 ELSE 0 END)
+ (CASE WHEN field3 IS NULL THEN 1 ELSE 0 END)
...
...
+ (CASE WHEN field10 IS NULL THEN 1 ELSE 0 END)) AS sum_of_nulls
FROM fakelos2
I wrote some query and i got following query results.
createdate SITE1 SITE2 SITE3 SITE4 SITE5 SITE6 SITE7 SITE8 SITE9
10/2/2014 63 NULL NULL NULL NULL NULL NULL NULL NULL
10/2/2014 NULL NULL NULL NULL NULL NULL NULL NULL 10
10/3/2014 21 NULL NULL NULL NULL NULL NULL NULL NULL
10/3/2014 NULL NULL NULL NULL NULL NULL NULL NULL 4
Now i want to display like this.
createdate SITE1 SITE2 SITE3 SITE4 SITE5 SITE6 SITE7 SITE8 SITE9
10/2/2014 63 NULL NULL NULL NULL NULL NULL NULL 10
10/3/2014 21 NULL NULL NULL NULL NULL NULL NULL 4
Note: I already grouping SITE NAME and createdate.
Do u have any cool idea or something pls suggest me..
enter code here
select alldata.createdate, count(name),
case when name = 'SITE1' then count(1) end AS SITE1,
case when name = 'SITE2' then count(1) end AS SITE2,
case when name = 'SITE3' then count(1) end AS SITE3,
case when name = 'SITE4' then count(1) end AS SITE4,
case when name = 'SITE5' then count(1) end AS SITE5,
case when name = 'SITE6' then count(1) end AS SITE6,
case when name = 'SITE7' then count(1) end AS SITE7,
case when name = 'SITE8' then count(1) end AS SITE8,
case when name = 'SITE9' then count(1) end AS SITE9,
from
(
select total.createdate as createdate ,total.name as name from
(
select distinct dtr.* , ps.name ,DATE_FORMAT(dt.create_time,'%Y-%m-%d') as createdate from di_dtb_task_result dtr
inner join di_dtb_task_data_detail dt
on dtr.task_id = dt.task_id and dt.user_id <> 10000001
left join dtb_user_info ui
on ui.id = dt.user_id and dtr.task_id = dt.task_id
left join dtb_point_site ps
on ps.id=ui.user_point_site_id and dtr.task_id = dt.task_id
where dtr.status <> 9
-- group by dtr.status ,dtr.task_id , ui.id,ui.user_point_site_id , ps.name
order by dtr.task_id
) total
-- group by total.name , total.createdate
) alldata
group by alldata.createdate ,alldata.name
I think you may want to try max() function
select createdate, max(site1),max(site2),max(site3),max(site4),max(site5),max(site6),max(site7), max(site8),max(site9) from (..your_inner_query..) group by createdate
here you go with a sample sqlfiddle for your reference
Simplest solution:
Just add another group by sql wrapping your sql.
select alldata.createdate, sum(SITE1), sum(SITE2), sum(SITE3), sum(SITE4), sum(SITE5), sum(SITE6), sum(SITE7), sum(SITE8), sum(SITE9)
// inner select
group by alldata.createdate
Looking for the way to change row to column. (The comflag is of type bit and not null). Help appreciated
Table1
Id Commflag value
122 0 Ce
125 1 Cf
122 0 Cg
125 1 cs
Here is what I want in result
id ce cf cg cs cp
122 0 null 0 null null
125 null 1 null 1 null
The below query shows error-
SELECT ID , [CE],[CF],[CG],[CS],[CP]
FROM TABLE1
PIVOT ((convert((Commflag)as varchar()) FOR value IN [CE],[CF],[CG],[CS],[CP] as pvt
ORDER BY date
This query does what you want:
select Id, pvt.Ce, pvt.Cf, pvt.CG, pvt.Cs, pvt.Cp
from
(
select Id, cast(Commflag as tinyint) Commflag, value
from Table1
) t
pivot (max(Commflag) for value in ([Ce],[Cf],[CG],[Cs],[Cp])) pvt
SQL Fiddle
Here's another way to do it, without using PIVOT:
select Id,
max(case value when 'Ce' then CAST(Commflag as tinyint) else null end) Ce,
max(case value when 'Cf' then CAST(Commflag as tinyint) else null end) Cf,
max(case value when 'Cg' then CAST(Commflag as tinyint) else null end) Cg,
max(case value when 'Cs' then CAST(Commflag as tinyint) else null end) Cs,
max(case value when 'Cp' then CAST(Commflag as tinyint) else null end) Cp
from Table1
group by Id
order by Id
SQL Fiddle
In my MySQL table, I have some rows with status = NULL and some with status = 0
When selecting them in a query:
SELECT *
FROM `table`
WHERE `status` != 0
This ignores both 0 and NULL values.
How can I ignore ONLY 0 values?
You can use the is null predicate:
if status is a numeric field:
SELECT *
FROM `table`
WHERE `status` != 0
OR `status` IS NULL
if status is a text field:
SELECT *
FROM `table`
WHERE `status` != '0'
OR `status` IS NULL
This works because NULL != 0 evaluates as NULL and NULL OR TRUE evaluates as TRUE. Rows whose inclusion condition evaluates to NULL are rejected.
Didn't try it, but maybe this?
SELECT *
FROM `table`
WHERE `status` IS NULL OR `status` != 0
Judging by your sqlfiddle, it appears status is a text type, so this is what you want:
SELECT *
FROM mytable
WHERE status IS NULL
OR status != '0'
If you want to exclude them both:
SELECT *
FROM mytable
WHERE COALESCE(status,0) <> 0
;
You could use the null-safe equals operator...
SELECT status
FROM mytable
WHERE not (status <=> 0);
It considers null as just another value. 0 <=> null is false, as opposed to the null you get with normal comparisons.
As with the other answers here, quote the 0 if your status column happens to be a (var)char type.