Why do we use count (*)?
- When can we use count (*)?
- Should I use count (*)?
- What does count (*) mean in SQL?
- What is the difference between count and count (*)?
When can we use count (*)?
COUNT (1) means it will return a single value among the total number of records. COUNT (*) means it will return all values among the total number of records.
Should I use count (*)?
In general, you should always use COUNT(*). This is because the database can often count rows by accessing an index, which is much faster than accessing a table. If you use COUNT(column), the database must actually inspect the individual values in the column, since it will not count NULLs.
What does count (*) mean in SQL?
COUNT(*) returns the number of rows in a specified table, and it preserves duplicate rows. It counts each row separately. This includes rows that contain null values.
What is the difference between count and count (*)?
As you've already learned, COUNT(*) will count all the rows in the table, including NULL values. On the other hand, COUNT(column name) will count all the rows in the specified column while excluding NULL values.
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