Create a user-defined type (UDT)
User-defined types (UDTs) are stored per keyspace. UDTs can store multiple data fields, each named and typed, to a single column. The fields used to create a UDT may be any valid data type, including collections and other existing UDTs. After a UDT is created, it can be used to define a table column. It can be used in multiple tables, if required. You can access a UDT from another keyspace by using the <keyspace_name>.<type_name> notation.
Prerequisites
Create a user-defined type named basic_info
.
CREATE TYPE IF NOT EXISTS cycling.basic_info (
birthday timestamp,
nationality text,
height text,
weight text
);
DESCRIBE TYPE cycling.basic_info;
Results
CREATE TYPE cycling.basic_info (
birthday timestamp,
nationality text,
height text,
weight text
);
CREATE TYPE cycling.basic_info (
birthday timestamp,
nationality text,
height text,
weight text
);
Create a table for storing cyclist data in columns of type basic_info
.
Use the frozen
keyword in the definition of the user-defined type column.
The frozen
keyword is not required for UDTs that contain only non-collection fields.
When using the frozen
keyword, you cannot update parts of a user-defined type value.
The entire value must be overwritten.
The database treats the value of a frozen, user-defined type like a blob.
CREATE TABLE IF NOT EXISTS cycling.cyclist_stats (
id UUID PRIMARY KEY,
lastname text,
basics basic_info
);
A user-defined type can be nested in another column type.
The example below nests a UDT
in a frozen list
named races
.
CREATE TYPE IF NOT EXISTS cycling.race (
race_title text,
race_date timestamp,
race_time text
);
DESCRIBE TYPE cycling.race;
Results
CREATE TYPE cycling.race (
race_title text,
race_date timestamp,
race_time text
);
CREATE TYPE cycling.race (
race_title text,
race_date timestamp,
race_time text
);
CREATE TABLE IF NOT EXISTS cycling.cyclist_races (
id UUID PRIMARY KEY,
lastname text,
firstname text,
races list<FROZEN <race>>
);
Results
CREATE TABLE cycling.cyclist_races (
id uuid PRIMARY KEY,
firstname text,
lastname text,
races list<frozen<race>>
) WITH additional_write_policy = '99PERCENTILE'
AND bloom_filter_fp_chance = 0.01
AND caching = {'keys': 'ALL', 'rows_per_partition': 'NONE'}
AND comment = ''
AND compaction = {'class': 'org.apache.cassandra.db.compaction.SizeTieredCompactionStrategy', 'max_threshold': '32', 'min_threshold': '4'}
AND compression = {'chunk_length_in_kb': '64', 'class': 'org.apache.cassandra.io.compress.LZ4Compressor'}
AND crc_check_chance = 1.0
AND default_time_to_live = 0
AND gc_grace_seconds = 864000
AND max_index_interval = 2048
AND memtable_flush_period_in_ms = 0
AND min_index_interval = 128
AND nodesync = {'enabled': 'true', 'incremental': 'true'}
AND read_repair = 'BLOCKING'
AND speculative_retry = '99PERCENTILE';
CREATE TABLE cycling.cyclist_races (
id uuid PRIMARY KEY,
firstname text,
lastname text,
races list<frozen<race>>
) WITH additional_write_policy = '99PERCENTILE'
AND bloom_filter_fp_chance = 0.01
AND caching = {'keys': 'ALL', 'rows_per_partition': 'NONE'}
AND comment = ''
AND compaction = {'class': 'org.apache.cassandra.db.compaction.SizeTieredCompactionStrategy', 'max_threshold': '32', 'min_threshold': '4'}
AND compression = {'chunk_length_in_kb': '64', 'class': 'org.apache.cassandra.io.compress.LZ4Compressor'}
AND crc_check_chance = 1.0
AND default_time_to_live = 0
AND gc_grace_seconds = 864000
AND max_index_interval = 2048
AND memtable_flush_period_in_ms = 0
AND min_index_interval = 128
AND nodesync = {'enabled': 'true', 'incremental': 'true'}
AND read_repair = 'BLOCKING'
AND speculative_retry = '99PERCENTILE';
See also: