I'm attempting to create a persistent table using the WITH clause however, I'm getting an error.
For context the answer that I currently find is
CREATE TABLE my_table
AS
WITH my_tables_data AS (
SELECT another_table.data1 AS some_value
FROM another_table
)
SELECT *
FROM some_data;
However, I am getting an error
Msg 319, Level 15, State 1, Line 5 Incorrect syntax near the keyword 'with'. If this statement is a common table expression, an xmlnamespaces clause or a change tracking context clause, the previous statement must be terminated with a semicolon.
My code is
CREATE TABLE SalesOrdersPerYear
WITH t1 AS (
-- Define the CTE expression name and column list.
WITH Sales_CTE (SalesPersonID, BaseSalary)
AS
-- Define the CTE query.
(
SELECT SALES_PERSON.SALES_PERSON_ID, SALES_PERSON.BASE_SALARY
FROM SALES_PERSON
WHERE SALES_PERSON_ID IS NOT NULL
)
-- Define the outer query referencing the CTE name.
SELECT SalesPersonID, BaseSalary AS TotalSales
FROM Sales_CTE
ORDER BY SalesPersonID, BaseSalary;
)
Would anyone be able to provide some guidance on this?
Many thanks in advance!
The WITH clause in SQL was introduced in standard SQL to simplify complex long queries, especially those with JOINs and subqueries. Often interchangeably called CTE or subquery refactoring, a WITH clause defines a temporary data set whose output is available to be referenced in subsequent queries.
You can use a common table expression (CTE) to simplify creating a view or table, selecting data, or inserting data. Use a CTE to create a table based on another table that you select using the CREATE TABLE AS SELECT (CTAS) clause.
AS SELECT clauseUse the AS SELECT clause of the CREATE TABLE statement to create a new table and to insert into it the data rows that are the result set of a specified query.
This is not valid syntax for sql server. you can either create a table using CREATE TABLE
and specifying the column names and types, or you can do a SELECT INTO
statement including data.
Approach 1 : Create the table and then populate:
CREATE TABLE SalesOrdersPerYear
( SalesPersonID int, BaseSalary float)
;
WITH Sales_CTE (SalesPersonID, BaseSalary)
AS
(
SELECT SALES_PERSON.SALES_PERSON_ID, SALES_PERSON.BASE_SALARY
FROM SALES_PERSON
WHERE SALES_PERSON_ID IS NOT NULL
)
insert into SalesOrdersPerYear
SELECT SalesPersonID, BaseSalary AS TotalSales
FROM Sales_CTE
ORDER BY SalesPersonID, BaseSalary;
Approach 2 - all in one step
WITH Sales_CTE (SalesPersonID, BaseSalary)
AS
(
SELECT SALES_PERSON.SALES_PERSON_ID, SALES_PERSON.BASE_SALARY
FROM SALES_PERSON
WHERE SALES_PERSON_ID IS NOT NULL
)
select SalesPersonID, BaseSalary AS TotalSales
into SalesOrdersPerYear
FROM Sales_CTE
ORDER BY SalesPersonID, BaseSalary;
Use approach 1 when you need to specify more about the table (primary keys, indexes, foregin keys etc.
Use approach 2 for things that are more temporary. (you would normally use a temporary table such as #SalesOrdersPerYear here).
Either way, the data is now stored in your table, and you can use it again.
Using temporary tables:
-- Check for existence and drop first to avoid errors if it already exists.
if OBJECT_ID('tempdb..#SalesOrdersPerYear') is not null
drop table #SalesOrdersPerYear
WITH Sales_CTE (SalesPersonID, BaseSalary)
AS
(
SELECT SALES_PERSON.SALES_PERSON_ID, SALES_PERSON.BASE_SALARY
FROM SALES_PERSON
WHERE SALES_PERSON_ID IS NOT NULL
)
select SalesPersonID, BaseSalary AS TotalSales
into #SalesOrdersPerYear
FROM Sales_CTE
ORDER BY SalesPersonID, BaseSalary;
You could also define it as a table variable, which is a bit of a cross between the approaches:
declare @SalesOrdersPerYear table
( SalesPersonID int, BaseSalary float)
;
WITH Sales_CTE (SalesPersonID, BaseSalary)
AS
(
SELECT SALES_PERSON.SALES_PERSON_ID, SALES_PERSON.BASE_SALARY
FROM SALES_PERSON
WHERE SALES_PERSON_ID IS NOT NULL
)
insert into @SalesOrdersPerYear
SELECT SalesPersonID, BaseSalary AS TotalSales
FROM Sales_CTE
ORDER BY SalesPersonID, BaseSalary;
This option will only persist with this batch, and does not need dropping - just like any other variable.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With