I have seperate queries but i need to reduce the no so put all in one
select count(applicant_id) as registered from student_application where filter_status=0 AND
select count(applicant_id) as filer_select from student_application where filter_status=1 AND
select count(applicant_id) as filter_reject from student_application where filter_status=2
but this shows some errors
Use CASE expression.
Query
select
count(case when filter_status = 0 then applicant_id else null end) as registered,
count(case when filter_status = 1 then applicant_id else null end) as filer_select,
count(case when filter_status = 2 then applicant_id else null end) as filer_reject
from student_application;
SQL Fiddle
You could also use group_by, with the where clause if you're looking for a subset rather than all possible values of filter_status:
SELECT filter_status, COUNT(*)
FROM student_application
WHERE filter_status in (0, 1, 2)
GROUP BY filter_status;
Related
select x,
count(case when i='abc' then 1 else null end) as ele1,
count(case when i='def' then 1 else null end) as ele2,
sum(ele1+ele2) as sum1 from (INNER QUERY)
When i am using sum(ele1+ele2), it is throwing error that ele1 not found. How to fetch sum1 in the same query without using any other outer query?
You can't use alias as column name in select
select x,
count(case when i='abc' then 1 else null end) as ele1,
count(case when i='def' then 1 else null end) as ele2,
sum( ( case when i='abc' then 1 else null end ) +
( case when i='def' then 1 else null end ) ) as sum1
from (INNER QUERY)
You cannot use alias as a column name, but if your concern is in verboseness - in your particular case you can write something like below, which is easy readable and skinny enough (for BigQuery Legacy SQL)
SELECT
SUM( i ='abc' ) AS ele1,
SUM( i = 'def' ) AS ele2,
SUM( i IN ('abc', 'def') ) AS sum1
FROM (INNER QUERY)
I want to know the difference between these two queries: The first query is giving me all the records and its just fine.
Select * from table1 where tender_id='$tender_id' group by supplier_name
But in the following query I have added a sum(case), but I am not getting the desired output. The first query is showing all the records, but the second query is not showing all the records. What mistake am I making?
select cs.*, tender_id,
SUM(CASE WHEN ifmain = 'Yes' THEN total_inr ELSE 0 END) AS maintotal,
SUM(CASE WHEN ifmain = 'No' THEN total_inr ELSE 0 END) AS subtotal
from table1 cs
where cs.tender_id='$tender_id'
group by cs.supplier_name
I want to know if the second query can display all the records with conditions (tender_id)? or its iterating more?
In standard SQL, a query that includes a GROUP BY clause cannot refer
to nonaggregated columns in the select list that are not named in the
GROUP BY clause.
see (for example) https://dev.mysql.com/doc/refman/5.0/en/group-by-handling.html
MySQL has a an unfortunate (and in my opinion incorrect) default behavior when using a GROUP BY clause. This query would NOT be valid in most SQL databases:
Select * from table1 where tender_id='$tender_id' group by supplier_name
and it would not be valid in MySQL either if the ONLY_FULL_GROUP_BY SQL mode has been enabled.
I strongly recommend you treat all queries using GROUP BY as needing ALL non-aggregating columns in that clause. e.g.
select
cs.supplier_name
, SUM(CASE WHEN ifmain = 'Yes' THEN total_inr ELSE 0 END) AS maintotal
, SUM(CASE WHEN ifmain = 'No' THEN total_inr ELSE 0 END) AS subtotal
from table1 cs
where cs.tender_id='$tender_id'
group by
cs.supplier_name
If you need extra columns then e.g.
select
cs.supplier_name
, tender_id
, SUM(CASE WHEN ifmain = 'Yes' THEN total_inr ELSE 0 END) AS maintotal
, SUM(CASE WHEN ifmain = 'No' THEN total_inr ELSE 0 END) AS subtotal
from table1 cs
where cs.tender_id='$tender_id'
group by
cs.supplier_name
, tender_id
and so on. Of course as you include more columns in the group by clause you may increase the number of rows produced, but that is how GROUP BY should work.
I am wondering how to fix this query.
SELECT
SUM(`month_using`) used,
SUM(`month_cash`) paycash,
SUM(`month_profit` CASE WHEN `id` <> 'system' THEN 1 ELSE 0 END) profit
FROM `_using_month`
WHERE MONTH(`month_date`) = {month} AND YEAR(`month_date`) = {year}
Thanks
Use Group by clause to get multiple SUM:
For Example:
SELECT YEAR(month_date), MONTH(month_date),
SUM(month_using) used, SUM(month_cash) paycash,
SUM(month_profit CASE WHEN id <> 'system' THEN 1 ELSE 0 END) profit
FROM _using_month
GROUP BY YEAR(month_date), MONTH(month_date)
Having some trouble figuring out the logic to this. See the two queries below:
Query 1:
SELECT cId, crId, COUNT(EventType)
FROM Data
WHERE EventType='0' OR EventType='0p' OR EventType='n' OR EventType = 'np'
GROUP BY crId;
Query 2:
SELECT cId, crId, COUNT(EventType) AS Clicks
FROM Data
WHERE EventType='c'
GROUP BY crId;
Was just wondering if there was a way to make the column that I would get at the end of query 2 appear in query 1. Since the where statements are different, not really sure where to go, and any subquery that I've wrote just hasn't worked.
Thanks in advance
SELECT cId, crId,
SUM(CASE WHEN EventType='0' OR EventType='0p' OR EventType='n' OR EventType = 'np' THEN 1 ELSE 0 END) AS Count_1,
SUM(CASE WHEN EventType='c' THEN 1 ELSE 0 END) AS Count_2
FROM Data
WHERE EventType IN ('0','0p','n','np','c')
GROUP BY crId;
You can join the two, using the second as a correlated subquery.
SELECT
Data.cId,
Data.crId,
COUNT(EventType) AS event_type_count,
click_counts.Clicks
FROM
Data
/* Correlated subquery retrieves the Clicks (EventType 'c') per cId */
LEFT JOIN (
SELECT cId, crId, COUNT(EventType) AS Clicks
FROM Data
WHERE EventType='c'
GROUP BY crId
) AS click_count ON Data.cId = click_count.cId AND Data.crId = click_count.crId
/* OR chain replaced with IN() clause */
WHERE Data.EventType IN ('0','0p','n','np')
/* This GROUP BY should probably also include Data.cId... */
GROUP BY Data.crId;
You can do this all querying from the table once and using CASE statements.
SELECT cId, crId,
SUM(CASE WHEN EventType IN ('0', '0p', 'n', 'np') THEN 1 ELSE 0 END) as events,
SUM(CASE WHEN EventType = 'c' THEN 1 ELSE 0 END) as clicks
FROM Data
WHERE EventType IN ('0', '0p', 'n', 'np', 'c')
GROUP BY crId;
You want to use IN?
SELECT cId, crId, COUNT(EventType) as Clicks
FROM Data
WHERE EventType IN ('0','0p','n','np','c')
GROUP BY crId;
:) PUtting myself in right direction ;)
sqlfiddle demo
select id, crid,
count(case when type <> 'c'
then crid end) count_others,
count(case when type ='c'
then crid end) count_c
from tb
group by crid
;
I am trying to get the count of females and males in the gender field of a table.
Is there a way to get the count of each in one query?
Something like:
select * from table count(where gender = 'm') as total_males, count(where gender = 'f') as total_females;
or will it require two queries?
select count(*) from table where gender = 'm';
select count(*) from table where gender = 'f';
This is basically a PIVOT. MySQL does not have a pivot so you can use an aggregate function with a CASE statement to perform this:
select
sum(case when gender = 'm' then 1 else 0 end) Total_Male,
sum(case when gender = 'f' then 1 else 0 end) Total_Female
from yourtable
See SQL Fiddle with Demo
Or using COUNT:
select
count(case when gender = 'm' then 1 else null end) Total_Male,
count(case when gender = 'f' then 1 else null end) Total_Female
from yourtable;
See SQL Fiddle with Demo
Something like this will work:
SELECT SUM(IF(t.gender='m',1,0)) AS total_males
, SUM(IF(t.gender='f',1,0)) AS total_females
FROM mytable t
The "trick" here is that we are using a conditional test to return either a 0 or a 1 for each row, and then adding up the 0's and 1's. To make this a little more clear, I am using the SUM aggregate function rather than COUNT, although COUNT could be used just as easily, though we'd need to return a NULL in place of the zero.
SELECT COUNT(IF(t.gender='m',1,NULL)) AS total_males
, COUNT(IF(t.gender='f',1,NULL)) AS total_females
FROM mytable t
Consider that the two expressions in the SELECT list of this query:
SELECT COUNT(1)
, SUM(1)
FROM mytable t
Will return the same value.
If you want to avoid the MySQL IF function, this can also be done using the ANSI SQL CASE expression:
SELECT SUM( CASE WHEN t.gender = 'm' THEN 1 ELSE 0 END )) AS total_males
, SUM( CASE WHEN t.gender = 'f' THEN 1 ELSE 0 END )) AS total_females
FROM mytable t
select sum(case when gender='m' then 1 else null end) as total_males, sum(case when gender='f' then 1 else null end) as total_females from ...
Should work just fine!
If your only issue is to avoid two queries, you can always write two queries as subselects of one query.
Select (select 1 from dual) as one, (select 2 from dual) as two from dual
This would work for your scenario, too.