In SQL, cardinality refers to the unique values in a column or set of columns. It is an important concept in database design, as it determines the maximum number of occurrences for each value in a column.
There are three types of cardinality:
High cardinality: This type of cardinality is characterized by a large number of unique values in a column or set of columns. For example, a column that contains customer IDs would have high cardinality because each customer has a unique ID.
Low cardinality: This type of cardinality is characterized by a small number of unique values in a column or set of columns. For example, a column that contains gender would have low cardinality because there are only two possible values (male and female).
No cardinality: This type of cardinality is characterized by a lack of unique values in a column or set of columns. For example, a column that contains the value "NULL" for every row would have no cardinality because there are no unique values in the column.
Cardinality is an important concept in database design because it can affect the performance of queries.
For instance, a query that filters on a high-cardinality column is likely to be faster than a query that filters on a low-cardinality column because there are fewer values to compare.
Similarly, a query that filters on a column with no cardinality will be slower than a query that filters on a column with high or low cardinality because there are no unique values to compare.
To find the cardinality of a column or set of columns in SQL, you can use the COUNT
and DISTINCT
functions in combination with the GROUP BY
clause.
The COUNT
function is used to count the number of rows in a table, and the DISTINCT
keyword is used to count only the unique values in a column. The GROUP BY
clause is used to group the rows in a table by the values in a specific column.
Here is an example of how to find the cardinality of a column in SQL:
SELECT COUNT(DISTINCT ColumnName)
FROM TableName
This query will return the number of unique values in the ColumnName
column of the TableName
table.
Here is another example that uses the GROUP BY clause to find the cardinality of multiple columns in SQL:
SELECT COUNT(DISTINCT Column1), COUNT(DISTINCT Column2)
FROM TableName
GROUP BY Column1, Column2
This query will return the number of unique values in the Column1
and Column2
columns of the TableName
table, grouped by the values in the Column1
and Column2
columns.
As you can see, the COUNT
and DISTINCT
functions are used to find the cardinality of a column or set of columns in SQL. The GROUP BY
clause can be used to group the results by the values in a specific column.
In SQL, cardinality refers to the unique values in a column or set of columns. It is an important concept in database design, as it determines the maximum number of occurrences for each value in a column.
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