mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-09-20 16:50:48 +00:00
107 lines
3.7 KiB
SQL
107 lines
3.7 KiB
SQL
SET send_logs_level = 'fatal';
|
|
|
|
DROP DATABASE IF EXISTS database_for_dict;
|
|
|
|
CREATE DATABASE database_for_dict;
|
|
|
|
SELECT '***date dict***';
|
|
|
|
CREATE TABLE database_for_dict.date_table
|
|
(
|
|
CountryID UInt64,
|
|
StartDate Date,
|
|
EndDate Date,
|
|
Tax Float64
|
|
)
|
|
ENGINE = MergeTree()
|
|
ORDER BY CountryID;
|
|
|
|
INSERT INTO database_for_dict.date_table VALUES(1, toDate('2019-05-05'), toDate('2019-05-20'), 0.33);
|
|
INSERT INTO database_for_dict.date_table VALUES(1, toDate('2019-05-21'), toDate('2019-05-30'), 0.42);
|
|
INSERT INTO database_for_dict.date_table VALUES(2, toDate('2019-05-21'), toDate('2019-05-30'), 0.46);
|
|
|
|
CREATE DICTIONARY database_for_dict.dict1
|
|
(
|
|
CountryID UInt64,
|
|
StartDate Date,
|
|
EndDate Date,
|
|
Tax Float64
|
|
)
|
|
PRIMARY KEY CountryID
|
|
SOURCE(CLICKHOUSE(HOST 'localhost' PORT tcpPort() USER 'default' TABLE 'date_table' DB 'database_for_dict'))
|
|
LIFETIME(MIN 1 MAX 1000)
|
|
LAYOUT(RANGE_HASHED())
|
|
RANGE(MIN StartDate MAX EndDate);
|
|
|
|
SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(1), toDate('2019-05-15'));
|
|
SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(1), toDate('2019-05-29'));
|
|
SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(2), toDate('2019-05-29'));
|
|
SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(2), toDate('2019-05-31'));
|
|
|
|
SELECT '***datetime dict***';
|
|
|
|
CREATE TABLE database_for_dict.datetime_table
|
|
(
|
|
CountryID UInt64,
|
|
StartDate DateTime,
|
|
EndDate DateTime,
|
|
Tax Float64
|
|
)
|
|
ENGINE = MergeTree()
|
|
ORDER BY CountryID;
|
|
|
|
INSERT INTO database_for_dict.datetime_table VALUES(1, toDateTime('2019-05-05 00:00:00'), toDateTime('2019-05-20 00:00:00'), 0.33);
|
|
INSERT INTO database_for_dict.datetime_table VALUES(1, toDateTime('2019-05-21 00:00:00'), toDateTime('2019-05-30 00:00:00'), 0.42);
|
|
INSERT INTO database_for_dict.datetime_table VALUES(2, toDateTime('2019-05-21 00:00:00'), toDateTime('2019-05-30 00:00:00'), 0.46);
|
|
|
|
CREATE DICTIONARY database_for_dict.dict2
|
|
(
|
|
CountryID UInt64,
|
|
StartDate DateTime,
|
|
EndDate DateTime,
|
|
Tax Float64
|
|
)
|
|
PRIMARY KEY CountryID
|
|
SOURCE(CLICKHOUSE(HOST 'localhost' PORT tcpPort() USER 'default' TABLE 'datetime_table' DB 'database_for_dict'))
|
|
LIFETIME(MIN 1 MAX 1000)
|
|
LAYOUT(RANGE_HASHED())
|
|
RANGE(MIN StartDate MAX EndDate);
|
|
|
|
SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(1), toDateTime('2019-05-15 00:00:00'));
|
|
SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(1), toDateTime('2019-05-29 00:00:00'));
|
|
SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(2), toDateTime('2019-05-29 00:00:00'));
|
|
SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(2), toDateTime('2019-05-31 00:00:00'));
|
|
|
|
SELECT '***hierarchy dict***';
|
|
|
|
CREATE TABLE database_for_dict.table_with_hierarchy
|
|
(
|
|
RegionID UInt64,
|
|
ParentRegionID UInt64,
|
|
RegionName String
|
|
)
|
|
ENGINE = MergeTree()
|
|
ORDER BY RegionID;
|
|
|
|
INSERT INTO database_for_dict.table_with_hierarchy VALUES (3, 2, 'Hamovniki'), (2, 1, 'Moscow'), (1, 10000, 'Russia') (7, 10000, 'Ulan-Ude');
|
|
|
|
|
|
CREATE DICTIONARY database_for_dict.dictionary_with_hierarchy
|
|
(
|
|
RegionID UInt64,
|
|
ParentRegionID UInt64 HIERARCHICAL,
|
|
RegionName String
|
|
)
|
|
PRIMARY KEY RegionID
|
|
SOURCE(CLICKHOUSE(host 'localhost' port tcpPort() user 'default' db 'database_for_dict' table 'table_with_hierarchy'))
|
|
LAYOUT(HASHED())
|
|
LIFETIME(MIN 1 MAX 1000);
|
|
|
|
SELECT dictGetString('database_for_dict.dictionary_with_hierarchy', 'RegionName', toUInt64(2));
|
|
SELECT dictGetHierarchy('database_for_dict.dictionary_with_hierarchy', toUInt64(3));
|
|
SELECT dictIsIn('database_for_dict.dictionary_with_hierarchy', toUInt64(3), toUInt64(2));
|
|
SELECT dictIsIn('database_for_dict.dictionary_with_hierarchy', toUInt64(7), toUInt64(10000));
|
|
SELECT dictIsIn('database_for_dict.dictionary_with_hierarchy', toUInt64(1), toUInt64(5));
|
|
|
|
DROP DATABASE IF EXISTS database_for_dict;
|