sql query count with like

Posted on 2014-03-19
Last Modified: 2014-07-31
I have field called dipose and it has several values delimited by commas

now I want to count the number of time  a word 'sanctions' appeared

where I do
select dipose,count(*)
from table1

where dipose like '%sanctions%'
group by dipose

I am getting several records with counts
dipose                     count

I am just intered in
Question by:Angela4eva
LVL 73

Accepted Solution

sdstuber earned 250 total points
ID: 39940139
you'll need to take the dispose column out of the grouping if you don't want sums groupd by the individual dispose values

select count(*)
from table1
where dipose like '%sanctions%'

if you want the word "sanctions" to appear in the results, you can hardcode that

select 'sanctions' , count(*)
from table1
where dipose like '%sanctions%'

Author Comment

ID: 39940300
what if I have more than one field like i want to count sanctions and notices
LVL 142

Assisted Solution

by:Guy Hengel [angelIII / a3]
Guy Hengel [angelIII / a3] earned 250 total points
ID: 39940327
I will suggest the below query, though I must presume that the starting point (table design) is not really optimal for this query of queries...
select sum(case when dipose like '%sanctions%' then 1 else 0 end) santions_count
, sum(case when dipose like '%notices%' then 1 else 0 end) notices_count
from table1

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Author Comment

ID: 39940348
thank you for the suggestion but
I want to display

LVL 73

Expert Comment

ID: 39940438
if having the results in one row isn't sufficient you could unpivot them or do a simple union
(the unpivot is more efficient though)

select 'sanctions' , count(*)
from table1
where dipose like '%sanctions%'
union all
select 'notices' , count(*)
from table1
where dipose like '%notices%'
LVL 73

Expert Comment

ID: 39940448
an "unpivot" might look something like this with a dummy join

select x.str,count(*) from
 (select 'sanctions' as str union all select 'notices' as str) as x, table1
where dispose like '%' + str +'%'
LVL 40

Expert Comment

ID: 39941464
Post# 39940327 would work for you. The other approach is convert the comma separated values to rows and count the values. Let me know if you are interested in that solution.

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