Klauzule DISTRIBUTE BY
Platí pro: Databricks SQL Databricks Runtime
Repartitions data based on the input expressions. Na rozdíl od klauzule CLUSTER BY neřadí data v rámci každého oddílu.
Syntaxe
DISTRIBUTE BY expression [, ...]
Parametry
-
Výraz libovolného typu.
Příklady
> CREATE TEMP VIEW person (name, age)
AS VALUES ('Zen Hui', 25),
('Anil B', 18),
('Shone S', 16),
('Mike A', 25),
('John A', 18),
('Jack N', 16);
-- Reduce the number of shuffle partitions to 2 to illustrate the behavior of `DISTRIBUTE BY`.
-- It's easier to see the clustering and sorting behavior with less number of partitions.
> SET spark.sql.shuffle.partitions = 2;
-- Select the rows with no ordering. Please note that without any sort directive, the result
-- of the query is not deterministic. It's included here to just contrast it with the
-- behavior of `DISTRIBUTE BY`. The query below produces rows where age columns are not
-- clustered together.
> SELECT age, name FROM person;
16 Shone S
25 Zen Hui
16 Jack N
25 Mike A
18 John A
18 Anil B
-- Produces rows clustered by age. Persons with same age are clustered together.
-- Unlike `CLUSTER BY` clause, the rows are not sorted within a partition.
> SELECT age, name FROM person DISTRIBUTE BY age;
25 Zen Hui
25 Mike A
18 John A
18 Anil B
16 Shone S
16 Jack N