Am getting an error that goes like this:
Insert values statement can contain only constant literal values or variable references.
these are the statements in which I am getting the errors:
INSERT INTO val.summary_numbers (metric_name, metric_val, dt_create) VALUES ('Total IP Enconters',
(SELECT
count(DISTINCT encounter_id)
FROM prod.encounter
WHERE encounter_type = 'Inpatient')
,
(SELECT min(mod_loadidentifier)
FROM ccsm.stg_demographics_baseline)
);
INSERT INTO val.summary_numbers (metric_name, metric_val, dt_create) VALUES ('Total 30d Readmits',
(SELECT
count(DISTINCT encounter_id)
FROM prod.encounter_attr
WHERE
attr_name = 'day_30_readmit' AND attr_value = 1)
,
(SELECT min(mod_loadidentifier)
FROM ccsm.stg_demographics_baseline));
Change your query like this:
insert into val.summary_numbers
select
'Total IP Enconters',
(select count(distinct encounter_id)
from prod.encounter
where encounter_type = 'Inpatient'),
(select min(mod_loadidentifier)
from ccsm.stg_demographics_baseline)
When using the ADW service, I would recommend that you consider using the CTAS operation possibly combined with a RENAME. The RENAME is a metadata operation so it is fast and the CTAS is parallel where the INSERT INTO will be row by row.
You may still have a data related issue that can be hard to determine with out the create table statement.
Thanks
Related
Need your help. I am trying to convert below SQL query into RedShift, but getting error message "Invalid operation: This type of correlated subquery pattern is not supported yet"
SELECT
Comp_Key,
Comp_Reading_Key,
Row_Num,
Prev_Reading_Date,
( SELECT MAX(X) FROM (
SELECT CAST(dateadd(day, 1, Prev_Reading_Date) AS DATE) AS X
UNION ALL
SELECT dim_date.calendar_date
) a
) as start_dt
FROM stage5
JOIN dim_date ON calendar_date BETWEEN '2020-04-01' and '2020-04-15'
WHERE Comp_Key =50906055
The same query works fine in SQL Server. Could you please help me to run it in RedShift?
Regards,
Kiru
Kiru - you need to convert the correlated query into a join structure. Not knowing the data content of your tables and the exact expected out put I'm just guessing but here's a swag:
SELECT
Comp_Key,
Comp_Reading_Key,
Row_Num,
Prev_Reading_Date,
Max_X
FROM stage5
JOIN dim_date ON calendar_date BETWEEN '2020-04-01' and '2020-04-15'
JOIN ( SELECT MAX(X) as Max_X, MAX(calendar_date) as date FROM (
SELECT CAST(dateadd(day, 1, Prev_Reading_Date) AS DATE) AS X FROM stage5
cross join
SELECT dim_date.calendar_date from dim_date
) a
) as start_dt ON a.date = dim_date.calendar_date
WHERE Comp_Key =50906055
This is just a starting guess but might get you started.
However, you are likely better off rewriting this query to use window functions as they are the fastest way to perform these types of looping queries in Redshift.
Thanks Bill. It won't work in RedShift as it still has correalted sub-query.
However I have modified query in another method and it works fine.
I am closing ticket.
I would like to know how can I store the value of subquery to use it in an operation after it recieve the value. For example:
Select IDTruck
, TruckPrice = (select "TruckPrice" from "Table1" where ("TruckID" = '123'))
, TruckUnit = (select "TruckUnit" from "Table2" )
, TruckPrice * TruckUnit as "PriceTotal"
from Table3
I just want to store the value and then use it in the operation so I don't have to do the select again.
I'm not sure why it should be necessary to store the values in variables for usage in your case. I think the calculation can be done also by joining just the data (assuming that table3 contains a reference to table1 and table2).
Your example above would also not work, because TruckPrice and TruckUnits are no atomar results.
So please try to refactor your statement to use joins.
Is it possible to use .QueryMultiple (or some other method) in Dapper, and use the results of each former query to be used in the where clause of the next query, without having to do each query individually, get the id, and then .Query again, get the id and so on.
For example,
string sqlString = #"select tableA_id from tableA where tableA_lastname = #lastname;
select tableB_id from tableB WHERE tableB_id = tableA_id";
db.QueryMultiple.(sqlString, new {lastname = "smith"});
Is something like this possible with Dapper or do I need a view or stored procedure to accomplish this? I can use multiple joins for one SQL statement, but in my real query there are 7 joins, and I didn't think I should return 7 objects.
Right now I'm just using object.
You can store every previous query in table parameter and then first perform select from the parameter and query for next, for example:
DECLARE #TableA AS Table(
tableA_id INT
-- ... all other columns you need..
)
INSERT #TableA
SELECT tableA_id
FROM tableA
WHERE tableA_lastname = #lastname
SELECT *
FROM #TableA
SELECT tableB_id
FROM tableB
JOIN tableA ON tableB_id = tableA_id
I have just started a new job and am working with existing queries. As I am no expert on SQL I'm wondering if a date range such as 2015-8-1 through 2015-8-31 can be inserted into the query below. Any help offered is greatly appreciated.
SELECT
RANK() OVER (PARTITION BY DoctorFacility.ListName ORDER BY ApptSlot.Start)
as SlotNumber
, DoctorFacility.ListName as ProviderName
, ApptSlot.Start as ApptStartTime
, AppointmentsAlloc.Type as ApptType
INTO #TEMP
FROM CentricityPS.dbo.ApptSlot ApptSlot
INNER JOIN CentricityPS.dbo.AppointmentsAlloc AppointmentsAlloc
ON ApptSlot.ApptSlotId=AppointmentsAlloc.ApptSlotId
INNER JOIN CentricityPS.dbo.Schedule Schedule
ON ApptSlot.ScheduleId=Schedule.ScheduleId
INNER JOIN CentricityPS.dbo.DoctorFacility DoctorFacility
ON Schedule.DoctorResourceId=DoctorFacility.DoctorFacilityId
WHERE AppointmentsAlloc.Type IN
(
'Behavioral Health - 30'
,'Behavioral Health 45'
,'Established Patient - 15'
,'Established Patient - 20'
,'Fin Counsel - 30'
,'Gyn Visit - 15'
,'Pediatric Visit - 15'
)
AND ApptSlot.ListOrder=1
AND ApptSlot.Status IS NULL
AND ApptSlot.Start>= GETDATE()
ORDER BY DoctorFacility.ListName
SELECT
ProviderName
, ApptStartTime
, ApptType
FROM #TEMP
WHERE SlotNumber = 3
ORDER BY ProviderName
DROP TABLE #TEMP
There are two separate select queries here. It would be done the same way for either part of the query regardless. Just add it to your WHERE statement
AND ApptSlot.Start>= 2015-8-1
AND ApptSlot.Start<= 2015-8-31
Another syntax would be
AND ApptSlot.Start between 2015-8-1 and 2015-8-31
Ideally you want to pass those begin and start dates as variables so values would not be hard coded. It might look more like this.
AND ApptSlot.Start between #StartDate and #EndDate
I am running a query with Oracle:
SELECT
c.customer_number,
COUNT(DISTINCT o.ORDER_NUMBER),
COUNT(DISTINCT q.QUOTE_NUMBER)
FROM
Customer c
JOIN Orders o on c.customer_number = o.party_number
JOIN Quote q on c.customer_number = q.account_number
GROUP BY
c.customer_number
This works beautifully and I can get the customer and their order and quote counts.
However, not all customers have orders or quotes but I still want their data. When I use LEFT JOIN I get this error from Oracle:
ORA-24347: Warning of a NULL column in an aggregate function
Seemingly this error is caused by the eventual COUNT(NULL) for customers that are missing orders and/or quotes.
How can I get a COUNT of null values to come out to 0 in this query?
I can do COUNT(DISTINCT NVL(o.ORDER_NUMBER, 0)) but then the counts will come out to 1 if orders/quotes are missing which is no good. Using NVL(o.ORDER_NUMBER, NULL) has the same problem.
Try using inline views:
SELECT
c.customer_number,
o.order_count,
q.quote_count
FROM
customer c,
( SELECT
party_number,
COUNT(DISTINCT order_number) AS order_count
FROM
orders
GROUP BY
party_number
) o,
( SELECT
account_number,
COUNT(DISTINCT quote_number) AS quote_count
FROM
quote
GROUP BY
account_number
) q
WHERE 1=1
AND c.customer_number = o.party_number (+)
AND c.customer_number = q.account_number (+)
;
Sorry, but I'm not working with any databases right now to test this, or to test whatever the ANSI SQL version might be. Just going on memory.