If SELECT DISTINCT
is specified, only unique rows will remain in a query result. Thus, only a single row will remain out of all the sets of fully matching rows in the result.
You can specify the list of columns that must have unique values: SELECT DISTINCT ON (column1, column2,...)
. If the columns are not specified, all of them are taken into consideration.
Consider the table:
Using DISTINCT
without specifying columns:
Using DISTINCT
with specified columns:
ClickHouse supports using the DISTINCT
and ORDER BY
clauses for different columns in one query. The DISTINCT
clause is executed before the ORDER BY
clause.
Consider the table:
Selecting data:
Selecting data with the different sorting direction:
Row 2, 4
was cut before sorting.
Take this implementation specificity into account when programming queries.
Null ProcessingDISTINCT
works with NULL as if NULL
were a specific value, and NULL==NULL
. In other words, in the DISTINCT
results, different combinations with NULL
occur only once. It differs from NULL
processing in most other contexts.
It is possible to obtain the same result by applying GROUP BY across the same set of values as specified as SELECT
clause, without using any aggregate functions. But there are few differences from GROUP BY
approach:
DISTINCT
can be applied together with GROUP BY
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