mirror of
https://github.com/GreptimeTeam/greptimedb.git
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021ec7b6ac
* refactor: df err variant * WIP * chore: update proto version * chore: revert mistaken rust-toolchain * feat(WIP): added FlowService to QueryEngine * refactor: move flow service to operator * refactor: flush use flow name not id * refactor: use full path in macro * feat: flush flow * feat: impl flush flow * chore: remove unused * chore: meaninful response * chore: remove unused * chore: clippy * fix: flush_flow with proper blocking * test: sqlness tests added back for flow * test: better predicate for flush_flow * refactor: rwlock * fix: flush lock * fix: flush lock write then drop * test: add a new flow sqlness test * fix: sqlness testcase * chore: style --------- Co-authored-by: dennis zhuang <killme2008@gmail.com>
159 lines
4.2 KiB
SQL
159 lines
4.2 KiB
SQL
CREATE TABLE numbers_input_df_func (
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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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-- call `sum(abs(number))` where `abs` is DataFusion Function and `sum` is flow function
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CREATE FLOW test_numbers_df_func
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SINK TO out_num_cnt_df_func
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AS
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SELECT sum(abs(number)) FROM numbers_input_df_func GROUP BY tumble(ts, '1 second', '2021-07-01 00:00:00');
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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-- flush flow to make sure that table is created and data is inserted
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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, window_start, window_end FROM out_num_cnt_df_func;
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, window_start, window_end FROM out_num_cnt_df_func;
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DROP FLOW test_numbers_df_func;
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DROP TABLE numbers_input_df_func;
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DROP TABLE out_num_cnt_df_func;
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CREATE TABLE numbers_input_df_func (
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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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-- call `abs(sum(number))`to make sure that calling `abs` function(impl by datafusion) on `sum` function(impl by flow) is working
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CREATE FLOW test_numbers_df_func
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SINK TO out_num_cnt_df_func
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AS
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SELECT abs(sum(number)) FROM numbers_input_df_func GROUP BY tumble(ts, '1 second', '2021-07-01 00:00:00');
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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-- flush flow to make sure that table is created and data is inserted
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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, window_start, window_end FROM out_num_cnt_df_func;
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, window_start, window_end FROM out_num_cnt_df_func;
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DROP FLOW test_numbers_df_func;
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DROP TABLE numbers_input_df_func;
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DROP TABLE out_num_cnt_df_func;
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-- test date_bin
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CREATE TABLE numbers_input_df_func (
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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_df_func
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SINK TO out_num_cnt_df_func
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AS
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SELECT max(number) - min(number), date_bin(INTERVAL '1 second', ts, '2021-07-01 00:00:00'::TimestampNanosecond) FROM numbers_input_df_func GROUP BY date_bin(INTERVAL '1 second', ts, '2021-07-01 00:00:00'::TimestampNanosecond);
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, col_1 FROM out_num_cnt_df_func;
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, col_1 FROM out_num_cnt_df_func;
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DROP FLOW test_numbers_df_func;
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DROP TABLE numbers_input_df_func;
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DROP TABLE out_num_cnt_df_func;
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-- test date_trunc
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CREATE TABLE numbers_input_df_func (
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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_df_func
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SINK TO out_num_cnt
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AS
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SELECT date_trunc('second', ts), sum(number) FROM numbers_input_df_func GROUP BY date_trunc('second', ts);
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, col_1 FROM out_num_cnt;
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select flush_flow('test_numbers_df_func')<=1;
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INSERT INTO numbers_input_df_func
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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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select flush_flow('test_numbers_df_func')<=1;
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SELECT col_0, col_1 FROM out_num_cnt;
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DROP FLOW test_numbers_df_func;
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DROP TABLE numbers_input_df_func;
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DROP TABLE out_num_cnt;
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