mirror of
https://github.com/GreptimeTeam/greptimedb.git
synced 2026-01-07 05:42:57 +00:00
* feat: impl admin statement parser * feat: introduce AsyncFunction and implements it for admin functions * feat: execute admin functions * fix: license header * fix: panic in test * chore: fixed by code review
101 lines
2.5 KiB
SQL
101 lines
2.5 KiB
SQL
CREATE TABLE numbers_input_basic (
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number INT,
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ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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PRIMARY KEY(number),
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TIME INDEX(ts)
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);
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CREATE FLOW test_numbers_basic
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SINK TO out_num_cnt_basic
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AS
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SELECT sum(number) FROM numbers_input_basic GROUP BY tumble(ts, '1 second', '2021-07-01 00:00:00');
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-- TODO(discord9): confirm if it's necessary to flush flow here?
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-- because flush_flow result is at most 1
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admin flush_flow('test_numbers_basic');
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-- SQLNESS ARG restart=true
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INSERT INTO numbers_input_basic
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VALUES
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(20, "2021-07-01 00:00:00.200"),
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(22, "2021-07-01 00:00:00.600");
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admin flush_flow('test_numbers_basic');
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SELECT col_0, window_start, window_end FROM out_num_cnt_basic;
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admin flush_flow('test_numbers_basic');
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INSERT INTO numbers_input_basic
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VALUES
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(23,"2021-07-01 00:00:01.000"),
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(24,"2021-07-01 00:00:01.500");
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admin flush_flow('test_numbers_basic');
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SELECT col_0, window_start, window_end FROM out_num_cnt_basic;
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DROP FLOW test_numbers_basic;
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DROP TABLE numbers_input_basic;
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DROP TABLE out_num_cnt_basic;
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-- test interprete interval
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CREATE TABLE numbers_input_basic (
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number INT,
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ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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PRIMARY KEY(number),
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TIME INDEX(ts)
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);
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create table out_num_cnt_basic (
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number INT,
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ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP TIME INDEX);
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CREATE FLOW filter_numbers_basic SINK TO out_num_cnt_basic AS SELECT INTERVAL '1 day 1 second', INTERVAL '1 month 1 day 1 second', INTERVAL '1 year 1 month' FROM numbers_input_basic where number > 10;
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SHOW CREATE FLOW filter_numbers_basic;
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drop flow filter_numbers_basic;
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drop table out_num_cnt_basic;
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drop table numbers_input_basic;
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CREATE TABLE bytes_log (
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byte INT,
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ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP, -- event time
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TIME INDEX(ts)
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);
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CREATE TABLE approx_rate (
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rate FLOAT,
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time_window TIMESTAMP,
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update_at TIMESTAMP,
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TIME INDEX(time_window)
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);
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CREATE FLOW find_approx_rate
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SINK TO approx_rate
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AS
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SELECT CAST((max(byte) - min(byte)) AS FLOAT)/30.0, date_bin(INTERVAL '30 second', ts) as time_window from bytes_log GROUP BY time_window;
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INSERT INTO bytes_log VALUES
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(101, '2025-01-01 00:00:01'),
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(300, '2025-01-01 00:00:29');
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admin flush_flow('find_approx_rate');
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SELECT rate, time_window FROM approx_rate;
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INSERT INTO bytes_log VALUES
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(450, '2025-01-01 00:00:32'),
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(500, '2025-01-01 00:00:37');
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admin flush_flow('find_approx_rate');
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SELECT rate, time_window FROM approx_rate;
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DROP TABLE bytes_log;
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DROP FLOW find_approx_rate;
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DROP TABLE approx_rate;
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