I'm writing a big sql script in PostgreSQL (Netezza) and I would like to define the best strategy to create and update a [table] from another [ext_table]. As you can see, some fields (bi, i=1...n) are calculated from the source fields (ai, i=1...n) with conditions using CASE. Which is more efficient and why?
1) Create, insert and then update:
CREATE TABLE <table> (a1,a2,a3,...b1,b2,b3...);
INSERT INTO [table] (a1,a2,a3,...) SELECT a1,a2,a3,... FROM [ext_table];
UPDATE [table] SET
b1=CASE WHEN a1=1 THEN 'Y' ELSE 'N' END,
b2=CASE WHEN a2='A' THEN 1 ELSE 0 END,
b3=CASE WHEN a2='Y' THEN 1 ELSE 0 END;
2) Create and populate while selecting:
CREATE TABLE [table] AS (
SELECT a1,a2,a3,...,
(CASE WHEN a1=1 THEN 'Y' ELSE 'N' END) as b1,
(CASE WHEN a2='A' THEN 1 ELSE 0 END) as b2,
(CASE WHEN a2='Y' THEN 1 ELSE 0 END) as b3,
....
FROM [ext_table]
);
Related
I have this audit table
User
date
text
text 2
u1
2023-01-01
hi
yes
u1
2022-12-20
hi
no
u1
2022-12-01
hello
maybe
And I need as a result, something like this:
User
date
text
text 2
u1
2023-01-01
null
x
u1
2022-12-20
x
x
u1
2022-12-01
null
null
So I can know which column changed from the last time.
Something like this is working, but I think may be a way to optimize it? or at least generate a "more easy to look" query? (i need the information for almost 20 columns, not only 3)
SELECT
ta.audit_date,
ta.audit_user,
CASE
WHEN ta.audit_operation = 'I' THEN 'Insert'
WHEN ta.audit_operation = 'U' THEN 'Update'
END AS action,
CASE WHEN ta.column1 <> (SELECT column1
FROM audit_table ta1
WHERE ta1.id = 9207 AND ta1.audit_date < ta.audit_date
ORDER BY ta1.audit_date DESC
LIMIT 1)
THEN 'X' ELSE null END column1,
CASE WHEN ta.column2 <> (SELECT column2
FROM audit_table ta1
WHERE ta1.id = 9207 AND ta1.audit_date < ta.audit_date
ORDER BY ta1.audit_date DESC
LIMIT 1)
THEN 'X' ELSE null END column2,
CASE WHEN ta.column3 <> (SELECT column3
FROM audit_table ta1
WHERE ta1.id = 9207 AND ta1.audit_date < ta.audit_date
ORDER BY ta1.audit_date DESC
LIMIT 1)
THEN 'X' ELSE null END column3
FROM
audit_table ta
WHERE
ta.id = 9207
ORDER BY
audit_date DESC
Thank you!
I think you can just use the LAG() analytic function here. If I understand correctly:
SELECT *, CASE WHEN text != LAG(text) OVER (ORDER BY date) THEN 'x' END AS text_label,
CASE WHEN text2 != LAG(text) OVER (ORDER BY date) THEN 'x' END AS text2_label
FROM yourTable
ORDER BY date;
I've an Informatica function which I want to convert into query to be getting used in Spring Batch code.
I've a table EMPLOYEE table having 15 fields (all I want in select) and Informatica has function Router which creates group based on STATUS_CD = 'A' and default (means all other records should go here - where status is other than A).
How can we do in Postgres?
I've all the employees and I want to check based using combination of EMPLOYEE_CD, EMPLOYEE_ID is unique and I want to simply return the count of it.
Query1
SELECT EMPLOYEE_CD AS EMPLOYEE_CD,
EMPLOYEE_ID AS EMPLOYEE_ID,
COUNT (*) AS CNT
FROM EMPLOYEE
GROUP BY EMPLOYEE_CD, EMPLOYEE_ID
HAVING COUNT (*) > 1;
Query 2
SELECT EMPLOYEE_ID, EMPLOYEE_NAME, EMPLOYEE_EMAIL, EMPLOYEE_PHONE, EMPLOYEE_ADDRESS, (Create Count Field here)
FROM EMPLOYEE
Query 3 - I need to group (which is my original question) or Create Columns ACTIVE, NON_ACTIVE columns as a part of query results where EMPLOYEE_STAT_CD = 'A', ACTIVE column value should say YES and EMPLOYEE_STAT_CD other than A, NON_ACTIVE should say Yes.
How can merge Query1 and Query 2 and Query 3 into single query ?
if I understood the question, your code is something like:
SELECT EMPLOYEE_ID, EMPLOYEE_NAME, EMPLOYEE_EMAIL, EMPLOYEE_PHONE, EMPLOYEE_ADDRESS,
COUNT(*)OVER(PARTITION BY EMPLOYEE_CD, EMPLOYEE_ID) AS counter_from_sql1,
CASE WHEN EMPLOYEE_STAT_CD = 'A' THEN 'YES' ELSE NULL END AS ACTIVE,
CASE WHEN EMPLOYEE_STAT_CD <> 'A' THEN 'YES' ELSE NULL END AS NON_ACTIVE
FROM EMPLOYEE;
or
SELECT * FROM (
SELECT EMPLOYEE_ID, EMPLOYEE_NAME, EMPLOYEE_EMAIL, EMPLOYEE_PHONE, EMPLOYEE_ADDRESS,
COUNT(*)OVER(PARTITION BY EMPLOYEE_CD, EMPLOYEE_ID) AS counter_from_sql1,
CASE WHEN EMPLOYEE_STAT_CD = 'A' THEN 'YES' ELSE NULL END AS ACTIVE,
CASE WHEN EMPLOYEE_STAT_CD <> 'A' THEN 'YES' ELSE NULL END AS NON_ACTIVE
FROM EMPLOYEE
) z
WHERE counter_from_sql1 > 1;
I have two tables. In one table my raw data and in other table the relationships as below
Declare #Emp table(EmpId int,EmpName Varchar(100),CITY VARCHAR(100),Designation Varchar(100),ReportingManager Int)
INSERT INTO #Emp
VALUES(1,'Ram','Hyderabad','TL',6)
,(2,'Laxman','Hyderabad','TL',9)
,(3,'Suresh','Bangalore','Officer',6)
,(4,'Rajesh','Bangalore','Officer',9)
,(5,'Lokesh','Delhi','TL',6)
,(6,'Venkatesh','Mumbai','Manager',6)
,(7,'Subbu','Patna','Officer',9)
,(8,'Ravi','Hyderabad','Officer',9)
,(9,'Sai','Hyderabad','Manager',9)
,(10,'Satish','Hyderabad','Officer',6)
DECLARE #EmpRelation TABLE(EmpRelationShipID INT IDENTITY NOT NULL,ReportingTo INT,EmpID INT)
INSERT INTO #EmpRelation
VALUES(1,6)
,(2,9)
,(3,1)
,(4,5)
,(5,6)
,(7,2)
,(8,5)
,(10,1)
Here the ReportingManager Column in #Emp table indicates that If Emp
reports TL, then the TL's ManagerName.
Here ReportingTo Column in #EmpRelation indicates to whom he is
reporting.(TL or Manager).
Officers reports to TLs and TLs reports to Managers.
To get the result the have the below query which is working good
SELECT E.EmpId
,E.EmpName
,CASE
WHEN E.EmpId = E.ReportingManager
THEN 1
ELSE 0
END AS IsManager
,CASE
WHEN EXISTS (
SELECT NULL
FROM #EmpRelation ER
WHERE ER.ReportingTo = E.EmpId
)
THEN 1
ELSE 0
END AS HasSubordinates
,CASE WHEN E.EmpId != ReportingManager THEN 1 ELSE 0 END AS IsSubordinate
FROM #Emp E;
I want the query to be written using the joins instead of using the tables in Case statement.
I tried the below query. Please suggest any correction in terms of performance keeping view the future data size.
SELECT E.EmpId
,E.EmpName
,CASE
WHEN E.EmpId = E.ReportingManager
THEN 1
ELSE 0
END AS IsManager
,CASE WHEN HasSubordinate>0 THEN 1 ELSE 0 END HasSubordinates
,CASE WHEN E.EmpId != ReportingManager THEN 1 ELSE 0 END AS IsSubordinate
FROM #Emp E
LEFT JOIN (SELECT COUNT(*)HasSubordinate,ReportingTo Reporting FROM #EmpRelation ER GROUP BY ReportingTo)X ON X.Reporting=E.EmpID
Appreciate your help.
Thanks
Not sure if this is possible without some sort of Dynamic SQL or a Pivot (which I want to stay away from)... I have a report that displays total counts for various types/ various status combinations... These types and statuses are always going to be the same and present on the report, so returning no data for a specific combination yields a zero. As of right now there are only three caseTypes (Vegetation, BOA, and Zoning) and 8 statusTypes (see below).
I am first setting up the skeleton of the report using a temp table. I have been careful to name the temp table columns the same as what the "statusType" column will contain in my second table "#ReportData". Is there a way to update the different columns in "#FormattedData" based on the value of the "statusType" column in my second table?
Creation of Formatted Table (for report):
CREATE TABLE #FormattedReport (
caseType VARCHAR(50)
, underInvestigation INT NOT NULL DEFAULT 0
, closed INT NOT NULL DEFAULT 0
, closedDPW INT NOT NULL DEFAULT 0
, unsubtantiated INT NOT NULL DEFAULT 0
, currentlyMonitored INT NOT NULL DEFAULT 0
, judicialProceedings INT NOT NULL DEFAULT 0
, pendingCourtAction INT NOT NULL DEFAULT 0
, other INT NOT NULL DEFAULT 0
)
INSERT INTO #FormattedReport (caseType) VALUES ('Vegetation')
INSERT INTO #FormattedReport (caseType) VALUES ('BOA')
INSERT INTO #FormattedReport (caseType) VALUES ('Zoning')
Creation of Data Table (to populate #FormattedReport):
SELECT B.Name AS caseType, C.Name AS StatusType, COUNT(*) AS Amount
INTO #ReportData
FROM table1 A
INNER JOIN table2 B ...
INNER JOIN table3 C ...
WHERE ...
GROUP BY B.Name, C.Name
CURRENT Update Statement (Currently will be 1 update per column in #FormattedReport):
UPDATE A SET underInvestigation = Amount FROM #ReportData B
INNER JOIN #FormattedReport A ON B.CaseType LIKE CONCAT('%', A.caseType, '%')
WHERE B.StatusType = 'Under Investigation'
UPDATE A SET closed = Amount FROM #ReportData B
INNER JOIN #FormattedReport A ON B.CaseType LIKE CONCAT('%', A.caseType, '%')
WHERE B.StatusType = 'Closed'
...
REQUESTED Update Statement: Would like to have ONE update statement knowing which column to update when "#ReportData.statusType" is the same as a "#FormattedData" column's name. For my "other" column, I'll just do that one manually using a NOT IN.
Assuming I understand the question, I think you can use conditional aggregation for this:
;WITH CTE AS
(
SELECT CaseType
,SUM(CASE WHEN StatusType = 'Under Investigation' THEN Amount ELSE 0 END) As underInvestigation
,SUM(CASE WHEN StatusType = 'Closed' THEN Amount ELSE 0 END) As closed
-- ... More of the same
FROM #ReportData
GROUP BY CaseType
)
UPDATE A
SET underInvestigation = B.underInvestigation
,closed = b.closed
-- more of the same
FROM #FormattedReport A
INNER JOIN CTE B
ON B.CaseType LIKE CONCAT('%', A.caseType, '%')
I have been banging my head trying to come up with the correct logic (SQL Server 2012) needed to achieve something I would imagine would be fairly routine but I have been unable to find any examples of this anywhere. Basically, I have 3 columns in a table: product, flag, value. It is possible for a product to be listed multiple times within the table but only once with a unique flag (i.e. product1 can have flag1 or flag2 with different/identical but there will never be 2 records with product1 and flag1 and different/identical values).
The flag represents a pre-defined value (1,2,3,4) and the intention behind this field is to be able to assign a unique mathematical equation based on the value of the flag. The end result would yield a single product, the unique flag, and a new cumulative total based on the mathematical equation output. For instance, let's say product1 was listed 4 times with flag values of flag1, flag2, flag3, flag4 (see below):
Product-----Flag-----Value
Product1----Flag1----1.00
Product1----Flag2----3.00
Product1----Flag3----5.00
Product1----Flag4----7.00
Product-----Flag-----Value
Product1----Flag1----1.00 (flag1 value)
Product1----Flag2----4.00 (flag1+flag2 value)
Product1----Flag3----6.00 (flag1+flag3 value)
Product1----Flag4----10.00 (flag2+flag4 value)
Flag1 is defined as add flag1 only. Flag2 is defined as add flag1 and flag2. Flag 3 is defined as add flag1 and flag 3. Flag 4 is defined as add flag2 and flag4. the new output would be product1 listed four times with flag values of flag1, flag2, flag3, flag4 but new values as flag1, flag1_flag2, flag1+flag3, flag2+flag4.
I have tried to apply the logic via a case statement but I can't figure out how to traverse all the products for each condition and I have tried to go with a running totals solution but I am not sure how to incorporate the flag condition into it so it only performs a running total for when those conditions are true. Any assistance and/or article to help get me going down the right path would be greatly appreciated.
While I'm not sure I fully understand your question I think this might be what you want. For this to work it assumes flag1 is always present when flags 1 through 3 are and that flag2 is present when flag4 is.
;with cte as (
select
product,
max(case when flag = 'Flag1' then Value end) as f1Value,
max(case when flag = 'Flag2' then Value end) as f2Value,
max(case when flag = 'Flag3' then Value end) as f3Value,
max(case when flag = 'Flag4' then Value end) as f4Value
from flags group by Product
)
select
flags.Product,
flags.Flag,
flags.Value as "Org. value",
case flag
when 'Flag1' then f1Value
when 'Flag2' then f1Value + f2Value
when 'Flag3' then f1Value + f3Value
when 'Flag4' then f2Value + f4Value
else flags.Value -- take the present value when flag is not Flag1-4
end as "New value"
from flags
inner join cte on flags.Product = cte.Product
Take a look at this Sample SQL Fiddle to see it in action.
You can join a table to itself, and pick the conditions appropriately:
SELECT p1.product,p1.Flag,p1.Value + COALESCE(p2.Value,0)
FROM
Products p1
left join
Products p2
on
p1.Product = p2.Product and
p2.Flag = CASE p1.Flag
--1 doesn't need a previous value
WHEN 2 THEN 1
WHEN 3 THEN 1
WHEN 4 THEN 2
END
I assumed and tried on Range values.
CREATE TABLE #tmp (Product VARCHAR(10), flag VARCHAR(10),value numeric(13,2))
GO
INSERT INTO #tmp
SELECT 'Product1' , 'Flag1',1
UNION
SELECT 'Product1' , 'Flag2',3
UNION
SELECT 'Product1' , 'Flag3',5
UNION
SELECT 'Product1' , 'Flag4',7
GO
;WITH cte
AS
(
SELECT row_number () OVER(
ORDER BY flag) 'row',*
FROM #tmp
)
SELECT *,value 'RT'
FROM cte
WHERE row = 1
UNION
SELECT * ,(
SELECT cte.value
FROM cte
WHERE row = 1
) + value 'RT'
FROM cte
WHERE row BETWEEN 2
AND 3
UNION
SELECT * ,(
SELECT cte.value
FROM cte
WHERE row =2
) + value 'RT'
FROM cte
WHERE row >3
GO
DROP TABLE #tmp