count() on where clause from a different table - sql

I have a search function to search for mysql results depending on their inputs. Now I wanted to include on the where clause the count() of likes for the result from a different table.
Like this scenario. I want to search "Dog" where count(like_id) >= 1.
The Likes Table that I want to include is: TABLE_GLOBAL_LIKES.
The Structure of TABLE_GLOBAL_LIKES is:
Fields: like_id, user_id, products_id, blog_id.
BOTH TABLE_GLOBAL_PRODUCTS and TABLE_GLOBAL_LIKES has a common field of products_id and blog_id to associate with.
This is my working query that I want the Likes table to included.
SELECT SQL_CALC_FOUND_ROWS p.*,
CASE
WHEN p.specials_new_products_price > 0.0000
AND (p.expires_date > Now()
OR p.expires_date IS NULL
OR p.expires_date ='0000-00-00 00:00:00')
AND p.status != 0 THEN p.specials_new_products_price
ELSE p.products_price
END price
FROM ".TABLE_GLOBAL_PRODUCTS." p
INNER JOIN ".TABLE_STORES." s ON s.blog_id = p.blog_id
WHERE MATCH (p.products_name,
p.products_description) AGAINST ('*".$search_key."*')
AND p.display_product = '1'
AND p.products_status = '1' HAVING price <= ".$priceto_key."
AND price >= ".$pricefrom_key."
ORDER BY p.products_date_added DESC, p.products_name
I'm a newbie in mysql queries.. Please help.

Try this:
SELECT SQL_CALC_FOUND_ROWS p.*, COUNT(l.like_id)
CASE
WHEN p.specials_new_products_price > 0.0000
AND (p.expires_date > Now()
OR p.expires_date IS NULL
OR p.expires_date ='0000-00-00 00:00:00')
AND p.status != 0 THEN p.specials_new_products_price
ELSE p.products_price
END price
FROM ".TABLE_GLOBAL_PRODUCTS." p
INNER JOIN ".TABLE_STORES." s ON s.blog_id = p.blog_id
INNER JOIN ".TABLE_GLOBAL_LIKES." l ON l.blog_id = p.blog_id AND l.products_id = p.products_id
WHERE MATCH (p.products_name,
p.products_description) AGAINST ('*".$search_key."*')
AND p.display_product = '1'
AND p.products_status = '1' HAVING price <= ".$priceto_key."
AND price >= ".$pricefrom_key."
GROUP BY p.products_id
HAVING COUNT(l.like_id)>0
ORDER BY p.products_date_added DESC, p.products_name

Related

How to rewrite query without selfjoin

I have a view, that run next query
SELECT DISTINCT R.Id AS Id
, R.app
, case when R2.EventTypeId IS NOT NULL THEN 1 END AS type
FROM user R
left join user R2 on R.Id = R2.Id
and R2.EventTypeId > 0
and R2.Date > '2022-10-16'
WHERE R.Date between '2022-10-16' and '2022-10-30'
AND R.EventTypeId = 0
Is there any way to rewrite it without self join?
Date is partitiong field with filter retuire on.
Please use a window function. Please check that all conditions are included.
SELECT Id, app,
max(type)
from(
Select *,
max( case when EventTypeId IS NOT NULL and EventTypeId > 0 and Date > '2022-10-16' THEN 1 END) over (partition by Id) AS type
FROM user R
WHERE Date between '2022-10-16' and '2022-10-30' # limits both time areas
)
WHERE Date between '2022-10-16' and '2022-10-30' # limits only the time area of the displayed
AND EventTypeId = 0
group by 1,2

SELECT list expression references column integration_start_date which is neither grouped nor aggregated at

I'm facing an issue with the following query. It gave me this error [SELECT list expression references column integration_start_date which is neither grouped nor aggregated at [34:63]]. In particular, it points to the first 'when' in the result table, which I don't know how to fix. This is on BigQuery if that helps. I see everything is written correctly or I could be wrong. Seeking for help.
with plan_data as (
select format_date("%Y-%m-%d",last_day(date(a.basis_date))) as invoice_date,
a.sponsor_id as sponsor_id,
b.company_name as sponsor_name,
REPLACE(SUBSTR(d.meta,STRPOS(d.meta,'merchant_id')+12,13),'"','') as merchant_id,
a.state as plan_state,
date(c.start_date) as plan_start_date,
a.employee_id as square_employee_id,
date(
(select min(date)
from glproductionview.stats_sponsors
where sponsor_id = a.sponsor_id and sponsor_payroll_provider_identifier = 'square' and date >= c.start_date) )
as integration_start_date,
count(distinct a.employee_id) as eligible_pts_count, --pts that are in active plan and have payroll activities (payroll deductions) in the reporting month
from glproductionview.payroll_activities as a
left join glproductionview.sponsors as b
on a.sponsor_id = b.id
left join glproductionview.dc_plans as c
on a.plan_id = c.id
left join glproductionview.payroll_connections as d
on a.sponsor_id = d.sponsor_id and d.provider_identifier = 'rocket' and a.company_id = d.payroll_id
where a.payroll_provider_identifier = 'rocket'
and format_date("%Y-%m",date(a.basis_date)) = '2021-07'
and a.amount_cents > 0
group by 1,2,3,4,5,6,7,8
order by 2 asc
)
select invoice_date,
sponsor_id,
sponsor_name,
eligible_pts_count,
case
when eligible_pts_count <= 5 and date_diff(current_date(),integration_start_date, month) <= 12 then 20
when eligible_pts_count <= 5 and date_diff(current_date(),integration_start_date, month) > 12 then 15
when eligible_pts_count > 5 and date_diff(current_date(),integration_start_date, month) <= 12 then count(distinct square_employee_id)*4
when eligible_pts_count > 5 and date_diff(current_date(),integration_start_date, month) > 12 then count(distinct square_employee_id)*3
else 0
end as fees
from plan_data
group by 1,2,3,4;

Having clause being ignored

In this query, I am attempting to get a count that gives me a count of patients for each practice under given conditions.
The issue is that I have to show patients who have had >=3 office visits in the past year.
Count(D.PID)
in the select list is ignoring
HAVING count(admitdatetime)>=3
Here is my query
select distinct D.PracticeAbbrevName, D.ProviderLastName, count(D.pid) AS Count
from PersonDetail AS D
left join Visit AS V on D.PID = V.PID
where D.A1C >=7.5 and V.admitdatetime >= (getdate()-365) and D.A1CDays <180 and D.Diabetes = 1
group by D.PracticeAbbrevName, D.ProviderLastName
having count(admitdatetime)>=3
order by PracticeAbbrevName
If I get rid of the count function for D.pid, and just display each PID individually, my having phrase works properly.
There is something about count and having that do now work properly together.
Revised answer:
SELECT DISTINCT
D.PracticeAbbrevName,
D.ProviderLastName,
COUNT(D.pid) AS PIDCount,
COUNT(admitdatetime) AS AdmitCount
FROM
PersonDetail AS D
LEFT JOIN Visit AS V
ON D.PID = V.PID
WHERE
D.A1C >= 7.5
AND V.admitdatetime >= ( GETDATE() - 365 )
AND D.A1CDays < 180
AND D.Diabetes = 1
GROUP BY
D.PracticeAbbrevName,
D.ProviderLastName
HAVING
COUNT(admitdatetime) >= 3
ORDER BY
PracticeAbbrevName
You're trying to do too much at once. Split the logic in 2 steps:
Query grouping by PID to filter out patients that don't meet your criteria.
Query grouping by practice to get a patient count.
Your query would look like this:
;with EligiblePatients as (
select d.pid,
d.PracticeAbbrevName,
d.ProviderLastName
from PersonDetail d
left join Visit v
on v.pid = d.pid
and v.admitdatetime >= (getdate()-365)
where d.A1C >= 7.5
and d.A1CDays < 180
and d.Diabetes = 1
group by d.pid,
d.PracticeAbbrevName,
d.ProviderLastName
having count(v.pid) >= 3
)
select PracticeAbbrevName,
ProviderLastName,
COUNT(*) as PatientCount
from EligiblePatients
group by PracticeAbbrevName,
ProviderLastName
order by PracticeAbbrevName

TSQL how to use if else in Where clause

I want to create a report, the report will have parameter for the user to select
-IsApprovedDate
-IsCatcheDate
I would like to know how to used the if else in the where clause.
Example if the user selects IsApprovedDate the report will lookup based on approved Date else will lookup based on catch date. In my query I will get top10 fish size base on award order weight here is my query.
;WITH CTE AS
(
select Rank() OVER (PARTITION BY c.trophyCatchCertificateTypeId order by c.catchWeight desc ) as rnk
,c.id,c.customerId, Cust.firstName + ' '+Cust.lastName as CustomerName
,CAST(CONVERT(varchar(10),catchWeightPoundsComponent)+'.'+CONVERT(varchar(10),catchWeightOuncesComponent) as numeric(6,2) ) WLBS
,c.catchGirth,c.catchLength,ct.description county
,t.description award--
,c.trophyCatchCertificateTypeId
,s.specificSpecies--
,c.speciesId
from Catches c
INNER JOIN TrophyCatchCertificateTypes t on c.trophyCatchCertificateTypeId = t.id
INNER JOIN Species s on c.speciesId = s.id
INNER JOIN Counties ct on c.countyId = ct.id
INNER JOIN Customers Cust on c.customerId = cust.id
Where c.bigCatchCertificateTypeId is not null
and c.catchStatusId =1
and c.speciesId =1 and c.isTrophyCatch =1
and c.catchDate >= #startDay and c.catchDate<=#endDay
)
Select * from CTE c1
Where rnk <=10
Just use conditional logic for this:
where . . . and
((#IsApprovedDate = 1 and c.ApprovedDate >= #startDay and c.ApprovedDate <= #endDay) or
(#IsCatchDate = 1 and c.catchDate >= #startDay and c.catchDate <= #endDay)
)
EDIT:
I would actually write this as:
where . . . and
((#IsApprovedDate = 1 and c.ApprovedDate >= #startDay and c.ApprovedDate < dateadd(day, 1 #endDay) or
(#IsCatchDate = 1 and c.catchDate >= #startDay and c.catchDate < dateadd(day, 1, #endDay))
)
This is a safer construct because it work when the date values have times and when they do not.
Performance will be much better if you build the WHERE clause dynamically in your code and then execute it.

Work Around for SQL Query 'NOT IN' that takes forever?

I am trying to run a query on an Oracle 10g DB to try and view 2 groups of transactions. I want to view basically anyone who has a transaction this year (2014) that also had a transaction in the previous 5 years. I then want to run a query for anyone who has a transaction this year (2014) that hasn't ordered from us in the last 5 years. I assumed I could do this with the 'IN' and 'NOT IN' features. The 'IN' query runs fine but the 'NOT IN' never completes. DB is fairly large which is probably why. Would love any suggestions from the experts!
*Notes, [TEXT] is a description of our Customer's Company name, sometimes the accounting department didn't tie this to our customer ID which left NULL values, so using TEXT as my primary grouping seemed to work although the name is obscure. CODE_D is a product line just to bring context to the name.
Below is my code:
SELECT CODE_D, sum(coalesce(credit_amount, 0) - coalesce(debet_amount,0)) as TOTAL
FROM
gen_led_voucher_row_tab
WHERE ACCOUNTING_YEAR like '2014'
and TEXT NOT IN
(select TEXT
from gen_led_voucher_row_tab
and voucher_date >= '01-JUN-09'
and voucher_date < '01-JUN-14'
and (credit_amount > '1' or debet_amount > '1')
)
GROUP BY CODE_D
ORDER BY TOTAL DESC
Try using a LEFT JOIN instead of NOT IN:
SELECT t1.CODE_D, sum(coalesce(t1.credit_amount, 0) - coalesce(t1.debet_amount,0)) as TOTAL
FROM gen_led_voucher_row_tab AS t1
LEFT JOIN gen_led_voucher_row_tab AS t2
ON t1.TEXT = t2.TEXT
AND t2.voucher_date >= '01-JUN-09'
AND t2.voucher_date < '01-JUN-14'
AND (credit_amount > '1' or debet_amount > '1')
WHERE t2.TEXT IS NULL
AND t1.ACCOUNTING_YEAR = '2014'
GROUP BY CODE_D
ORDER BY TOTAL DESC
ALso, make sure you have an index on the TEXT column.
You can increase your performance by changing the Not In clause to a Where Not Exists like as follows:
Where Not Exists
(
Select 1
From gen_led_voucher_row_tab b
Where voucher_date >= '01-JUN-09'
and voucher_date < '01-JUN-14'
and (credit_amount > '1' or debet_amount > '1')
And a.Text = b.Text
)
You'll need to alias the first table as well to a for this to work. Essentially, you're pulling back a ton of data to just discard it. Exists invokes a Semi Join which does not pull back any data at all, so you should see significant improvement.
Edit
Your query, as of the current update to the question should be this:
SELECT CODE_D,
sum(coalesce(credit_amount, 0) - coalesce(debet_amount,0)) as TOTAL
FROM gen_led_voucher_row_tab a
Where ACCOUNTING_YEAR like '2014'
And Not Exists
(
Select 1
From gen_led_voucher_row_tab b
Where voucher_date >= '01-JUN-09'
and voucher_date < '01-JUN-14'
and (credit_amount > '1' or debet_amount > '1')
And a.Text = b.Text
)
GROUP BY CODE_D
ORDER BY TOTAL DESC