select
IFNULL(sum(invoice0_.INV_AMT),0) as col_0_0_,IFNULL(sum(invoice1_.INV_AMT),0) as col_0_0_
from
hrmanager.invoice invoice0_,
hrmanager.invoice invoice1_
where
invoice0_.FROM_LEDGER=1
**or** invoice1_.TO_LEDGER=1
and (
invoice0_.INV_DATE between '1900-12-20' and '2012-01-30'
)
and invoice0_.ACTIVE='Y'
and invoice0_.COMP_ID=2
and invoice1_.COMP_ID=2
and invoice0_.INV_TYPE='CLIENT'
and invoice1_.INV_TYPE='CLIENT';
Here i wish to select the sum of amount of all from_ledger =1 and next column should display the sum of amount of all to_ledger=1 but here gave and/or in the condition retrieve the same data,In Db here from ledger=1 then the result is 7000 and toledger=1 then it will 0 but the above query retrieve the two columns are same value like 0 or 7000
It looks like your query is a bit of a mess. You are doing a query from the same table twice, but no JOIN condition which will result in a Cartesian result. I THINK what you are looking for is that your table "Invoice" has two columns in it... "To_Ledger" and "From_Ledger", the "INV_AMT", and some other fields for criteria... This should get you closer to your answer.
select
sum( if( inv.From_Ledger = 1, inv.Inv_Amt, 0 )) as FromInvoiceAmounts,
sum( if( inv.To_Ledger = 1, inv.Inv_Amt, 0 )) as ToInvoiceAmounts
from
hrmanager.invoice inv
where
1 in ( inv.From_Ledger, inv.To_Ledger )
AND inv.inv_date between '1900-12-20' and '2012-01-30'
and inv.Active = 'Y'
and inv.Comp_ID = 2
and inv.Inv_Type = 'CLIENT'
Related
i have a table named cq500_all(to record diffrent doctor feedback)
now i want know counts when condition status is
field dr_1_finish and field dr_2_finish value is all fill 1
and
when field dr_1 different dr_2 (like dr_1=1 and dr_2=0,or dr_1=0 and dr_2=1 )
cause i want to know two doctors feedback counts (when different doctor's feedback on jpg)
for example image show CQ500-CT-1_36_08.jpg and CQ500-CT-1_36_09.jpg is match my select counts
it will be two (select counts result)
how to make the query on mysql?
You can count as
select count(*) as total
from cq500_all
where dr_1_finish = 1 and dr_2_finish = 1 and dr_1 != dr_2
You will got result in total
Pretty much just the way you've described it:
select *
from cq500_all
where dr_1_finish = 1 and dr_2_finish = 1
and dr_1 != dr_2
or (if dr_1 or dr_2 might not be just 0 and 1):
select *
from cq500_all
where dr_1_finish = 1 and dr_2_finish = 1
and ((dr_1 = 1 and dr_2 = 0) or (dr_1 = 0 and dr_2 = 1))
I have a table offers with five relevant columns, offer_id, offer_type, offer_amount, end_date and offer_status
I am trying to select the row with the highest offer_amount that matches the correct offer_type and an offer_status of 1 (active).
The query I am using is
SELECT * FROM offers_tbl WHERE offer_status = 1 AND offer_type = 'site-wide' AND offer_amount = (SELECT MAX(offer_amount) FROM offers_tbl )
Whats happening is that this is not returning any results if the MAX(offer_amount) happens to have a offer_status of 0 (inactive).
If the particular row with the highest MAX(offer_amount) happens to have an offer_status of 1, this works fine. Its only when the offer status is 0 that this breaks.
Try making it find MAX out of active ones:
SELECT * FROM offers_tbl WHERE offer_status = 1 AND offer_type = 'site-wide' AND offer_amount = (SELECT MAX(offer_amount) FROM offers_tbl WHERE offer_status = 1)
Otherwise, it's finding MAX offer amounts that could have a status of 0, which makes the outside query not find a match of status of 1 AND that amount.
I have the following query which takes about 28 seconds on my machine. I would like to optimize it and know if there is any way to make it faster by creating some indexes.
select rr1.person_id as person_id, rr1.t1_value, rr2.t0_value
from (select r1.person_id, avg(r1.avg_normalized_value1) as t1_value
from (select ma1.person_id, mn1.store_name, avg(mn1.normalized_value) as avg_normalized_value1
from matrix_report1 ma1, matrix_normalized_notes mn1
where ma1.final_value = 1
and (mn1.normalized_value != 0.2
and mn1.normalized_value != 0.0 )
and ma1.user_id = mn1.user_id
and ma1.request_id = mn1.request_id
and ma1.request_id = 4 group by ma1.person_id, mn1.store_name) r1
group by r1.person_id) rr1
,(select r2.person_id, avg(r2.avg_normalized_value) as t0_value
from (select ma.person_id, mn.store_name, avg(mn.normalized_value) as avg_normalized_value
from matrix_report1 ma, matrix_normalized_notes mn
where ma.final_value = 0 and (mn.normalized_value != 0.2 and mn.normalized_value != 0.0 )
and ma.user_id = mn.user_id
and ma.request_id = mn.request_id
and ma.request_id = 4
group by ma.person_id, mn.store_name) r2
group by r2.person_id) rr2
where rr1.person_id = rr2.person_id
Basically, it aggregates data depending on the request_id and final_value (0 or 1). Is there a way to simplify it for optimization? And it would be nice to know which columns should be indexed. I created an index on user_id and request_id, but it doesn't help much.
There are about 4907424 rows on matrix_report1 and 335740 rows on matrix_normalized_notes table. These tables will grow as we have more requests.
First, the others are right about knowing better how to format your samples. Also, trying to explain in plain language what you are trying to do is also a benefit. With sample data and sample result expectations is even better.
However, that said, I think it can be significantly simplified. Your queries are almost completely identical with the exception of the one field of "final_value" = 1 or 0 respectively. Since each query will result in 1 record per "person_id", you can just do the average based on a CASE/WHEN AND remove the rest.
To help optimize the query, your matrix_report1 table should have an index on ( request_id, final_value, user_id ). Your matrix_normalized_notes table should have an index on ( request_id, user_id, store_name, normalized_value ).
Since your outer query is doing the average based on an per stores averages, you do need to keep it nested. The following should help.
SELECT
r1.person_id,
avg(r1.ANV1) as t1_value,
avg(r1.ANV0) as t0_value
from
( select
ma1.person_id,
mn1.store_name,
avg( case when ma1.final_value = 1
then mn1.normalized_value end ) as ANV1,
avg( case when ma1.final_value = 0
then mn1.normalized_value end ) as ANV0
from
matrix_report1 ma1
JOIN matrix_normalized_notes mn1
ON ma1.request_id = mn1.request_id
AND ma1.user_id = mn1.user_id
AND NOT mn1.normalized_value in ( 0.0, 0.2 )
where
ma1.request_id = 4
AND ma1.final_Value in ( 0, 1 )
group by
ma1.person_id,
mn1.store_name) r1
group by
r1.person_id
Notice the inner query is pulling all transactions for the final value as either a zero OR one. But then, the AVG is based on a case/when of the respective value for the normalized value. When the condition is NOT the 1 or 0 respectively, the result is NULL and is thus not considered when the average is computed.
So at this point, it is grouped on a per-person basis already with each store and Avg1 and Avg0 already set. Now, roll these values up directly per person regardless of the store. Again, NULL values should not be considered as part of the average computation. So, if Store "A" doesn't have a value in the Avg1, it should not skew the results. Similarly if Store "B" doesnt have a value in Avg0 result.
I have a table with 5 fields. Each field can store a number from 1 - 59.
Similar to countif in Excel, how do I count the number of times a number from 1 - 59 shows up in all 5 fields?
Here's an example for the count of occurances for the number 1 in all five fields:
SELECT SUM(pick_1 = 1 OR pick_2 = 1 OR pick_3 = 1 OR pick_4 = 1 OR pick_5 = 1) AS total_count_1
FROM tbldraw
Hopefully I made sense.
There was an answer here that had a solution. I think this is just a variation.
Step1: Create a numbers table (1 field, called id, 59 records (values 1 -59))
Step2:
SELECT numbers_table.number as number
, COUNT(tbldraw.pk_record)
FROM numbers_table
LEFT JOIN tbldraw
ON numbers_table.number = tbldraw.pick_1
OR numbers_table.number = tbldraw.pick_2
OR numbers_table.number = tbldraw.pick_3
OR numbers_table.number = tbldraw.pick_4
OR numbers_table.number = tbldraw.pick_5
GROUP BY number
ORDER BY number
How about a two step process? Assuming a table called summary_table ( int id, int ttl), for each number you care about...
insert into summary_table values (1,
(select count(*)
from table
where field1 = 1 or field2 = 1 or field3 = 1 or field4 = 1 or field5 = 1))
do that 59 times, once for each value. You can use a loop in most cases. Then you can select from the summary_table
select *
from summary_table
order by id
That will do it. I leave the coversion of this SQL into a stored procedure for those that know what database is in use.
The ALL() function, which returns true if the preceding operator is true for all parameters, makes the query particularly elegant and succinct.
To find the count a particular number (eg 3):
select count(*)
from tbldraw
where 3 = all (pick_1, pick_2, pick_3, pick_4, pick_5)
To find the count of all such numbers:
select pick_1, count(*)
from tbldraw
where pick_1 = all (pick_2, pick_3, pick_4, pick_5)
group by pick_1
I am working on a mysql query that will filter out certain occurrences dependent on how many rows are returned.
I am trying to filter out any support categories when the number of rows returned are 1, however leave the support category in when the result set turned is more than 1.
I originally had this idea however it seems as if it will not work.
SELECT stockmaster.description, SUM(salesorderdetails.quantity), stockmaster.categoryid as qty
FROM salesorderdetails, stockmaster
where salesorderdetails.stkcode=stockmaster.stockid
and orderno='5222'
group by stockmaster.description
HAVING CASE WHEN stockmaster.categoryid = 'S&M' THEN COUNT(*) >= 2 ELSE COUNT(*) = 1 END
Any help will be gratefully accepted.
Try this
SELECT *
FROM
(
SELECT stockmaster.description,
SUM(salesorderdetails.quantity),
stockmaster.categoryid as qty ,
COUNT(*) AS count
FROM salesorderdetails, stockmaster
where salesorderdetails.stkcode=stockmaster.stockid
and orderno='5222'
group by stockmaster.description
HAVING CASE WHEN stockmaster.categoryid = 'S&M'
) MAIN_DATA
WHERE MAIN_DATA.count >1