Performant Update of multiple columns using random values from another table
I need to update multiple columns of a table t1 with random rows from another table t2. t1 has ~ 1 Million Rows, t2 has 50k
Performant Update of multiple columns using random values from another table
I need to update multiple columns of a table t1 with random rows from another table t2. t1 has ~ 1 Million Rows, t2 has 50k
Performant Update of multiple columns using random values from another table
I need to update multiple columns of a table t1 with random rows from another table t2. t1 has ~ 1 Million Rows, t2 has 50k
Performant Update of multiple columns using random values from another table
I need to update multiple columns of a table t1 with random rows from another table t2. t1 has ~ 1 Million Rows, t2 has 50k
Filter Data based on the country matrix of the user
I want to filter the data based on the country matrix of the recruiter (user) rather than the logged-in user’s ID.The query should fetch the data based on the country matrix of the recruiter associated with the candidates.
.
But i’m getting the same result for all user.Please help me to solve this.
SQL: How to filter all the rows containing a certain product based on the value of a third column
I have a table with three columns: job_id, part, and time, which represent the ID of a shop job, the part manufactured in that job, and the time taken for that job, respectively.
How to select records whose date difference falls within the desired range [closed]
Closed 5 days ago.
Get all tax rates within a given date range
I have a table with tax rates. Each tax rate has two date fields: ‘valid_from’ and ‘valid_to’. ‘valid_to’ can be NULL, then the tax rate is valid until a later tax rate is inserted. Now I want to determine all tax rates valid in a given period with :start_date and :end_date. The problem is that a tax rate without ‘valid_to’ is valid, viewed individually, as long as its valid_from is not after the given period. So I have to take into account whether such tax rates have been replaced by later tax rates. But it can also be the case that a tax rate with valid_to = NULL falls in part of the given period and then a new tax rate takes over the next part of the period.
My approach still has problems with this:
sql-Whether the database query is projected or joined first?
For the following sql query statements: Select Distinct sno, sname From Student, SC Where Student.sno=SC.sno And cno=’C001′ Please use common sense to determine which of the following query plans should be executed most efficiently? (Assuming the SC has a citation on the cno and the Student has an index on the snoo) ()
sql-Whether the database query is projected or joined first?
For the following sql query statements: Select Distinct sno, sname From Student, SC Where Student.sno=SC.sno And cno=’C001′ Please use common sense to determine which of the following query plans should be executed most efficiently? (Assuming the SC has a citation on the cno and the Student has an index on the snoo) ()