mirror of
https://github.com/GreptimeTeam/greptimedb.git
synced 2026-01-17 02:32:56 +00:00
9f9c1dab60
* feat: use datafusion optimization refactor: mv `sql_to_flow_plan` elsewhere feat(WIP): use df optimization WIP analyzer rule feat(WIP): avg expander fix: transform avg expander fix: avg expand feat: names from substrait fix: avg rewrite test: update `test_avg`&`test_avg_group_by` test: fix `test_sum` test: fix some tests chore: remove unused flow plan transform feat: tumble expander test: update tests * chore: clippy * fix: tumble lose `group expr` * test: sqlness test update * test: rm unused cast * test: simplify sqlness * refactor: per review * chore: after rebase * fix: remove a outdated test * test: add comment * fix: report error when not literal * chore: update sqlness test after rebase * refactor: per review
161 lines
4.5 KiB
SQL
161 lines
4.5 KiB
SQL
CREATE TABLE numbers_input_df_func (
|
|
number INT,
|
|
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
PRIMARY KEY(number),
|
|
TIME INDEX(ts)
|
|
);
|
|
|
|
-- call `sum(abs(number))` where `abs` is DataFusion Function and `sum` is flow function
|
|
CREATE FLOW test_numbers_df_func
|
|
SINK TO out_num_cnt_df_func
|
|
AS
|
|
SELECT sum(abs(number)) FROM numbers_input_df_func GROUP BY tumble(ts, '1 second', '2021-07-01 00:00:00');
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(-20, "2021-07-01 00:00:00.200"),
|
|
(22, "2021-07-01 00:00:00.600");
|
|
|
|
-- flush flow to make sure that table is created and data is inserted
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
-- note that this quote-unquote column is a column-name, **not** a aggregation expr, generated by datafusion
|
|
SELECT "SUM(abs(numbers_input_df_func.number))", window_start, window_end FROM out_num_cnt_df_func;
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(23,"2021-07-01 00:00:01.000"),
|
|
(-24,"2021-07-01 00:00:01.500");
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
-- note that this quote-unquote column is a column-name, **not** a aggregation expr, generated by datafusion
|
|
SELECT "SUM(abs(numbers_input_df_func.number))", window_start, window_end FROM out_num_cnt_df_func;
|
|
|
|
DROP FLOW test_numbers_df_func;
|
|
DROP TABLE numbers_input_df_func;
|
|
DROP TABLE out_num_cnt_df_func;
|
|
|
|
CREATE TABLE numbers_input_df_func (
|
|
number INT,
|
|
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
PRIMARY KEY(number),
|
|
TIME INDEX(ts)
|
|
);
|
|
|
|
-- call `abs(sum(number))`to make sure that calling `abs` function(impl by datafusion) on `sum` function(impl by flow) is working
|
|
CREATE FLOW test_numbers_df_func
|
|
SINK TO out_num_cnt_df_func
|
|
AS
|
|
SELECT abs(sum(number)) FROM numbers_input_df_func GROUP BY tumble(ts, '1 second', '2021-07-01 00:00:00');
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(-20, "2021-07-01 00:00:00.200"),
|
|
(22, "2021-07-01 00:00:00.600");
|
|
|
|
-- flush flow to make sure that table is created and data is inserted
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
SELECT "abs(SUM(numbers_input_df_func.number))", window_start, window_end FROM out_num_cnt_df_func;
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(23,"2021-07-01 00:00:01.000"),
|
|
(-24,"2021-07-01 00:00:01.500");
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
SELECT "abs(SUM(numbers_input_df_func.number))", window_start, window_end FROM out_num_cnt_df_func;
|
|
|
|
DROP FLOW test_numbers_df_func;
|
|
DROP TABLE numbers_input_df_func;
|
|
DROP TABLE out_num_cnt_df_func;
|
|
|
|
-- test date_bin
|
|
CREATE TABLE numbers_input_df_func (
|
|
number INT,
|
|
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
PRIMARY KEY(number),
|
|
TIME INDEX(ts)
|
|
);
|
|
|
|
CREATE FLOW test_numbers_df_func
|
|
SINK TO out_num_cnt_df_func
|
|
AS
|
|
SELECT max(number) - min(number) as maxmin, date_bin(INTERVAL '1 second', ts, '2021-07-01 00:00:00'::Timestamp) as time_window FROM numbers_input_df_func GROUP BY time_window;
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(20, "2021-07-01 00:00:00.200"),
|
|
(22, "2021-07-01 00:00:00.600");
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
SELECT maxmin, time_window FROM out_num_cnt_df_func;
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(23,"2021-07-01 00:00:01.000"),
|
|
(24,"2021-07-01 00:00:01.500");
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
SELECT maxmin, time_window FROM out_num_cnt_df_func;
|
|
|
|
DROP FLOW test_numbers_df_func;
|
|
DROP TABLE numbers_input_df_func;
|
|
DROP TABLE out_num_cnt_df_func;
|
|
|
|
|
|
-- test date_trunc
|
|
CREATE TABLE numbers_input_df_func (
|
|
number INT,
|
|
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
|
PRIMARY KEY(number),
|
|
TIME INDEX(ts)
|
|
);
|
|
|
|
CREATE FLOW test_numbers_df_func
|
|
SINK TO out_num_cnt
|
|
AS
|
|
SELECT date_trunc('second', ts) as time_window, sum(number) as sum_num FROM numbers_input_df_func GROUP BY date_trunc('second', ts);
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(20, "2021-07-01 00:00:00.200"),
|
|
(22, "2021-07-01 00:00:00.600");
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
SELECT time_window, sum_num FROM out_num_cnt;
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
INSERT INTO numbers_input_df_func
|
|
VALUES
|
|
(23,"2021-07-01 00:00:01.000"),
|
|
(24,"2021-07-01 00:00:01.500");
|
|
|
|
admin flush_flow('test_numbers_df_func');
|
|
|
|
SELECT time_window, sum_num FROM out_num_cnt;
|
|
|
|
DROP FLOW test_numbers_df_func;
|
|
DROP TABLE numbers_input_df_func;
|
|
DROP TABLE out_num_cnt;
|