I am using MS access 2007 and this is my original SQL query:
SELECT Rates.UNIT, Rates.PROJECT, Rates.[Date_of_CM Memo], Rates.Rates, Rates.REMARKS
FROM Rates, Checks
WHERE (((Rates.UNIT)=[Checks].[Unit_Name]) AND ((Rates.[Date_of_CM Memo])<[Checks].[Reg_Date]));
but when I modified this query (below) to display the records for the latest date I get an error saying that I cannot use the max function with the where clause:
SELECT Rates.UNIT, Rates.PROJECT, Rates.[Date_of_CM Memo], Rates.Rates, Rates.REMARKS
FROM Rates, Checks
WHERE (((Rates.UNIT)=[Checks].[Unit_Name]) AND (MAX((Rates.[Date_of_CM Memo])<[Checks].[Reg_Date])));
You can't just put MAX (or any other aggregate function) into WHERE,
but you can put a query like that:
SELECT Rates.Unit,
Rates.Project,
Rates.[Date_of_CM Memo],
Rates.Rates,
Rates.Remarks
FROM Rates,
Checks
WHERE (((Rates.Unit) = [Checks].[Unit_Name]) AND
((SELECT MAX (Rates.[Date_of_CM Memo])
FROM Rates) < [Checks].[Reg_Date])));
Related
I'm using the Microsoft Access to do the SQL and is there any way for me to set the criteria for the Functions such as COUNT?
I found that the COUNT() Function will count the records where the Captain field meets the requirement too where Pilots.[PilotNum] = Bookings.[Co-Captain] AND Pilots.[PilotNum] = Bookings.[Captain]
The SQL below is the SQL I used to find the number of the Co-captain for each Pilots
The result of my SQL
HOW can I use COUNT() function to count each PilotNum appeared in each column seperately
Instead of count() I think it would be easier to use sum(), like this:
Select Pilots.PilotNum
, Sum(Iif(Bookings.[Co-Captain]=Pilots.PilotNum,1,0)) As CoCapt
, Sum(Iif(Bookings.[Captain]=Pilots.PilotNum,1,0)) As Capt
From...
The ... just means the rest is the same as you wrote it. The key point here is to use the Iif() function to establish a one or zero value and then just sum them up.
I downloaded the entire FDIC bank call reports dataset, and uploaded it to BigQuery.
The table I currently have looks like this:
What I am trying to accomplish is adding a column showing the deposit growth rate since the last quarter for each bank:
Note:The first reporting date for each bank (e.g. 19921231) will not have a "Quarterly Deposit Growth". Hence the two empty cells for the two banks.
I would like to know if a bank is increasing or decreasing its deposits each quarter/call report (viewed as a percentage).
e.g. "On their last call report (19921231)First National Bank had deposits of 456789 (in 1000's). In their next call report (19930331)First National bank had deposits of 567890 (in 1000's). What is the percentage increase (or decrease) in deposits"?
This "_%_Change_in_Deposits" column would be displayed as a new column.
This is the code I have written so far:
select
SFRNLL.repdte, SFRNLL.cert, SFRNLL.name, SFRNLL.city, SFRNLL.county, SFRNLL.stalp, SFRNLL.specgrp AS `Loan_Specialization`, SFRNLL.lnreres as `_1_to_4_Residential_Loans`, AL.dep as `Deposits`, AL.lnlsnet as `loans_and_leases`,
IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) as SFR2TotalLoanRatio
FROM usa_fdic_call_reports_1992.All_Reports_19921231_1_4_Family_Residential_Net_Loans_and_Leases as SFRNLL
JOIN usa_fdic_call_reports_1992.All_Reports_19921231_Assets_and_Liabilities as AL
ON SFRNLL.cert = AL.cert
where SFRNLL.specgrp = 4 and IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) <= 0.10
UNION ALL
select
SFRNLL.repdte, SFRNLL.cert, SFRNLL.name, SFRNLL.city, SFRNLL.county, SFRNLL.stalp, SFRNLL.specgrp AS `Loan_Specialization`, SFRNLL.lnreres as `_1_to_4_Residential_Loans`, AL.dep as `Deposits`, AL.lnlsnet as `loans_and_leases`,
IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) as SFR2TotalLoanRatio
FROM usa_fdic_call_reports_1993.All_Reports_19930331_1_4_Family_Residential_Net_Loans_and_Leases as SFRNLL
JOIN usa_fdic_call_reports_1993.All_Reports_19930331_Assets_and_Liabilities as AL
ON SFRNLL.cert = AL.cert
where SFRNLL.specgrp = 4 and IEEE_DIVIDE(SFRNLL.lnreres, AL.lnlsnet) <= 0.10
The table looks like this:
Additional notes:
I would also like to view the last column (SFR2TotalLoansRatio) as a percentage.
This code runs correctly, however, previously I was getting a "division by zero" error when attempting to run 50,000 rows (1992 to the present).
Addressing each of your question individually.
First) Retrieving SFR2TotalLoanRatio as percentage, I assume you want to see 9.988% instead of 0.0988 in your results. Currently, in BigQuery you can achieve this by casting the field into a STRING then, concatenating the % sign. Below there is an example with sample data:
WITH data as (
SELECT 0.0123 as percentage UNION ALL
SELECT 0.0999 as percentage UNION ALL
SELECT 0.3456 as percentage
)
SELECT CONCAT(CAST(percentage*100 as String),"%") as formatted_percentage FROM data
And the output,
Row formatted_percentage
1 1.23%
2 9.99%
3 34.56%
Second) Regarding your question about the division by zero error. I am assuming IEEE_DIVIDE(arg1,arg2) is a function to perform the division, in which arg1 is the divisor and arg2 is the dividend. Therefore, I would adivse your to explore your data in order to figured out which records have divisor equals to zero. After gathering these results, you can determine what to do with them. In case you decide to discard them you can simply add within your WHERE statement in each of your JOINs: AL.lnlsnet = 0. On the other hand, you can also modify the records where lnlsnet = 0 using a CASE WHEN or IF statements.
UPDATE:
In order to add this piece of code your query, you u have to wrap your code within a temporary table. Then, I will make two adjustments, first a temporary function in order to calculate the percentage and format it with the % sign. Second, retrieving the previous number of deposits to calculate the desired percentage. I am also assuming that cert is the individual id for each of the bank's clients. The modifications will be as follows:
#the following function MUST be the first thing within your query
CREATE TEMP FUNCTION percent(dep INT64, prev_dep INT64) AS (
Concat(Cast((dep-prev_dep)/prev_dep*100 AS STRING), "%")
);
#followed by the query you have created so far as a temporary table, notice the the comma I added after the last parentheses
WITH data AS(
#your query
),
#within this second part you need to select all the columns from data, and LAG function will be used to retrieve the previous number of deposits for each client
data_2 as (
SELECT repdte, cert, name, city, county, stalp, Loan_Specialization, _1_to_4_Residential_Loans,Deposits, loans_and_leases, SFR2TotalLoanRatio,
CASE WHEN cert = lag(cert) OVER (PARTITION BY id ORDER BY d) THEN lag(Deposits) OVER (PARTITION BY id ORDER BY id) ELSE NULL END AS prev_dep FROM data
)
SELECT repdte, cert, name, city, county, stalp, Loan_Specialization, _1_to_4_Residential_Loans,Deposits, loans_and_leases, SFR2TotalLoanRatio, percent(Deposits,prev_dep) as dept_growth_rate FROM data_2
Note that the built-in function LAG is used together with CASE WHEN in order to retrieve the previous amount of deposits per client.
I want to run a query in which I have to count no of itemsModel in the database which is in MS Access 2007 and also to multiply that count with the rate with i have kept in the different table.
SELECT
AllocateAsset.Item, AllocateAsset.ItemModel,
COUNT(AllocateAsset.ItemModel) AS CountOfItem,
(COUNT(AllocateAsset.ItemModel) * rateList.Rate) AS Amount
I'm getting an error that:
it is not right expression ...
you need to add a group by statement:
group by AllocateAssettItem, AllocateAsset.ItemModel
This an MS Access related question.
I get the Collateral divided 50 times because I have 50 rows in my ExchangeRates table... however the SELECT statement is supposed to only extract the value associated to CurrencyCode="EUR". How can I change the below statement to have the division being applied once only?
SELECT tbl_A.Security, tbl_A.Typ, Sum(([Collateral]/(SELECT tblExchangeRates.RateToUSD
FROM tblExchangeRates
WHERE (((tblExchangeRates.CurrencyCode)="EUR"))))) AS CollateralUSD
FROM tbl_A, tblExchangeRates
GROUP BY tbl_A.Security, tbl_A.Typ
HAVING (((tbl_A.Typ)="PR"));
It looks like this is what I was willing to get, just an Alias. SQL gurus, you are welcome to review.
SELECT tbl_A.Security, Sum(([Collateral]/[RateToUSD])) AS CollateralUSD
FROM tbl_A, (SELECT RateToUSD
FROM tblExchangeRates
WHERE CurrencyCode = 'EUR') AS MyAliasQ
GROUP BY tbl_A.Security
HAVING (((tbl_A.Typ)="PR"));
So I got this statement, which works fine:
SELECT MAX(patient_history_date_bio) AS med_date, medication_name
FROM biological
WHERE patient_id = 12)
GROUP BY medication_name
But, I would like to have the corresponding medication_dose also. So I type this up
SELECT MAX(patient_history_date_bio) AS med_date, medication_name, medication_dose
FROM biological
WHERE (patient_id = 12)
GROUP BY medication_name
But, it gives me an error saying:
"coumn 'biological.medication_dose' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.".
So I try adding medication_dose to the GROUP BY clause, but then it gives me extra rows that I don't want.
I would like to get the latest row for each medication in my table. (The latest row is determined by the max function, getting the latest date).
How do I fix this problem?
Use:
SELECT b.medication_name,
b.patient_history_date_bio AS med_date,
b.medication_dose
FROM BIOLOGICAL b
JOIN (SELECT y.medication_name,
MAX(y.patient_history_date_bio) AS max_date
FROM BIOLOGICAL y
GROUP BY y.medication_name) x ON x.medication_name = b.medication_name
AND x.max_date = b.patient_history_date_bio
WHERE b.patient_id = ?
If you really have to, as one quick workaround, you can apply an aggregate function to your medication_dose such as MAX(medication_dose).
However note that this is normally an indication that you are either building the query incorrectly, or that you need to refactor/normalize your database schema. In your case, it looks like you are tackling the query incorrectly. The correct approach should the one suggested by OMG Poinies in another answer.
You may be interested in checking out the following interesting article which describes the reasons behind this error:
But WHY Must That Column Be Contained in an Aggregate Function or the GROUP BY clause?
You need to put max(medication_dose) in your select. Group by returns a result set that contains distinct values for fields in your group by clause, so apparently you have multiple records that have the same medication_name, but different doses, so you are getting two results.
By putting in max(medication_dose) it will return the maximum dose value for each medication_name. You can use any aggregate function on dose (max, min, avg, sum, etc.)