What are 2 issues related to SQL Server that might be encountered when you create a database table?
The CPU can also be strained if there are bad indexes in place.
- Poorly-Written SQL. Because SQL is declarative, you can write the same query in many ways to receive the same results.
- Bad Indexes.
- Locking Contention.
- Memory Problems.
- High CPU Usage.
What is error command in SQL?
SQL keyword errors occur when one of the words that the SQL query language reserves for its commands and clauses is misspelled. For example, writing “UPDTE” instead of “UPDATE” will produce this type of error.
What is difference between rename and Alias?
Rename is actually changing the name of an object whereas Alias is giving another name (additional name) to an existing object. Rename is a permanent name given to a table or column whereas Alias is a temporary name given to a table or column which do not exist once the SQL statement is executed.
How do I fix a Power Query error?
To replace rows that have errors, first select the column that contains errors. On the Transform tab, in the Any column group, select Replace values. From the drop-down menu, select Replace errors. In the Replace errors dialog box, enter the value 10 because you want to replace all errors with the value 10.
How do I remove a Power Query error?
Remove rows with errors
- To open a query, locate one previously loaded from the Power Query Editor, select a cell in the data, and then select Query > Edit. For more information see Create, load, or edit a query in Excel.
- Decide which columns for which you want to remove errors.
- Select Home > Remove Rows > Remove Errors.
How many types of exception are there in SQL?
Exception types There are three types of exceptions: Predefined exceptions are error conditions that are defined by PL/SQL. Non-predefined exceptions include any standard TimesTen errors. User-defined exceptions are exceptions specific to your application.
Can I join on non primary key?
You aren’t required to have the primary key column in a JOIN (though, it usually is faster because of indexes). Just use your common field as the join criteria: SELECT a. field, b.