There are many formats supported by SQL Server – see the MSDN Books Online on CAST and CONVERT. Most of those formats are dependent on what settings you have – therefore, these settings might work some times – and sometimes not. The way to solve this is to use the (slightly adapted) ISO-8601 date format that is supported by SQL … Read more
you should put those two dates between single quotes like.. or can use keep in mind that the first date is inclusive, but the second is exclusive, as it effectively is ‘2011/02/27 00:00:00’
You could use the BIT datatype to represent boolean data. A BIT field’s value is either 1, 0, or null.
EDIT: Left Join will work if emp_mgr_id is null.
There are many formats supported by SQL Server – see the MSDN Books Online on CAST and CONVERT. Most of those formats are dependent on what settings you have – therefore, these settings might work some times – and sometimes not. The way to solve this is to use the (slightly adapted) ISO-8601 date format … Read more
They’re used in different places. group by modifies the entire query, like: But partition by just works on a window function, like row_number: A group by normally reduces the number of rows returned by rolling them up and calculating averages or sums for each row. partition by does not affect the number of rows returned, … Read more
Is it correct to do the following? No. That will drop the table only if it contains any rows (and will raise an error if the table does not exist). Instead, for a permanent table you can use Or, for a temporary table you can use SQL Server 2016+ has a better way, using DROP TABLE IF … Read more
As per the documentation: FROM (Transact-SQL): The keyword OUTER is marked as optional (enclosed in square brackets). In this specific case, whether you specify OUTER or not makes no difference. Note that while the other elements of the join clause is also marked as optional, leaving them out will make a difference. For instance, the entire type-part of the JOIN clause is optional, in which case … Read more
With a clustered index the rows are stored physically on the disk in the same order as the index. Therefore, there can be only one clustered index. With a non clustered index there is a second list that has pointers to the physical rows. You can have many non clustered indices, although each new index … Read more