mirror of
https://github.com/ClickHouse/ClickHouse.git
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109 lines
3.8 KiB
SQL
109 lines
3.8 KiB
SQL
-- Tags: no-parallel, no-fasttest
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SET send_logs_level = 'fatal';
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DROP DATABASE IF EXISTS database_for_dict;
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CREATE DATABASE database_for_dict;
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SELECT '***date dict***';
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CREATE TABLE database_for_dict.date_table
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(
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CountryID UInt64,
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StartDate Date,
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EndDate Date,
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Tax Float64
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)
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ENGINE = MergeTree()
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ORDER BY CountryID;
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INSERT INTO database_for_dict.date_table VALUES(1, toDate('2019-05-05'), toDate('2019-05-20'), 0.33);
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INSERT INTO database_for_dict.date_table VALUES(1, toDate('2019-05-21'), toDate('2019-05-30'), 0.42);
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INSERT INTO database_for_dict.date_table VALUES(2, toDate('2019-05-21'), toDate('2019-05-30'), 0.46);
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CREATE DICTIONARY database_for_dict.dict1
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(
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CountryID UInt64,
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StartDate Date,
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EndDate Date,
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Tax Float64
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)
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PRIMARY KEY CountryID
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SOURCE(CLICKHOUSE(HOST 'localhost' PORT tcpPort() USER 'default' TABLE 'date_table' DB 'database_for_dict'))
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LIFETIME(MIN 1 MAX 1000)
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LAYOUT(RANGE_HASHED())
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RANGE(MIN StartDate MAX EndDate);
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SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(1), toDate('2019-05-15'));
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SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(1), toDate('2019-05-29'));
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SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(2), toDate('2019-05-29'));
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SELECT dictGetFloat64('database_for_dict.dict1', 'Tax', toUInt64(2), toDate('2019-05-31'));
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SELECT '***datetime dict***';
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CREATE TABLE database_for_dict.datetime_table
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(
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CountryID UInt64,
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StartDate DateTime,
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EndDate DateTime,
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Tax Float64
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)
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ENGINE = MergeTree()
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ORDER BY CountryID;
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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);
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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);
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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);
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CREATE DICTIONARY database_for_dict.dict2
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(
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CountryID UInt64,
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StartDate DateTime,
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EndDate DateTime,
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Tax Float64
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)
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PRIMARY KEY CountryID
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SOURCE(CLICKHOUSE(HOST 'localhost' PORT tcpPort() USER 'default' TABLE 'datetime_table' DB 'database_for_dict'))
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LIFETIME(MIN 1 MAX 1000)
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LAYOUT(RANGE_HASHED())
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RANGE(MIN StartDate MAX EndDate);
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SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(1), toDateTime('2019-05-15 00:00:00'));
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SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(1), toDateTime('2019-05-29 00:00:00'));
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SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(2), toDateTime('2019-05-29 00:00:00'));
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SELECT dictGetFloat64('database_for_dict.dict2', 'Tax', toUInt64(2), toDateTime('2019-05-31 00:00:00'));
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SELECT '***hierarchy dict***';
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CREATE TABLE database_for_dict.table_with_hierarchy
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(
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RegionID UInt64,
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ParentRegionID UInt64,
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RegionName String
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)
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ENGINE = MergeTree()
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ORDER BY RegionID;
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INSERT INTO database_for_dict.table_with_hierarchy VALUES (3, 2, 'Hamovniki'), (2, 1, 'Moscow'), (1, 10000, 'Russia') (7, 10000, 'Ulan-Ude');
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CREATE DICTIONARY database_for_dict.dictionary_with_hierarchy
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(
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RegionID UInt64,
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ParentRegionID UInt64 HIERARCHICAL,
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RegionName String
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)
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PRIMARY KEY RegionID
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SOURCE(CLICKHOUSE(host 'localhost' port tcpPort() user 'default' db 'database_for_dict' table 'table_with_hierarchy'))
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LAYOUT(HASHED())
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LIFETIME(MIN 1 MAX 1000);
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SELECT dictGetString('database_for_dict.dictionary_with_hierarchy', 'RegionName', toUInt64(2));
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SELECT dictGetHierarchy('database_for_dict.dictionary_with_hierarchy', toUInt64(3));
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SELECT dictIsIn('database_for_dict.dictionary_with_hierarchy', toUInt64(3), toUInt64(2));
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SELECT dictIsIn('database_for_dict.dictionary_with_hierarchy', toUInt64(7), toUInt64(10000));
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SELECT dictIsIn('database_for_dict.dictionary_with_hierarchy', toUInt64(1), toUInt64(5));
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DROP DATABASE IF EXISTS database_for_dict;
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