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78 lines
4.9 KiB
SQL
78 lines
4.9 KiB
SQL
-- Azure Data Explore Test Data
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-- let make_series_test_table = datatable (Supplier:string, Fruit:string, Price: real, Purchase:datetime)
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-- [
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-- 'Aldi','Apple',4,'2016-09-10',
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-- 'Costco','Apple',2,'2016-09-11',
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-- 'Aldi','Apple',6,'2016-09-10',
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-- 'Costco','Snargaluff',100,'2016-09-12',
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-- 'Aldi','Apple',7,'2016-09-12',
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-- 'Aldi','Snargaluff',400,'2016-09-11',
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-- 'Costco','Snargaluff',104,'2016-09-12',
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-- 'Aldi','Apple',5,'2016-09-12',
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-- 'Aldi','Snargaluff',600,'2016-09-11',
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-- 'Costco','Snargaluff',200,'2016-09-10',
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-- ];
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DROP TABLE IF EXISTS make_series_test_table;
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CREATE TABLE make_series_test_table
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(
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Supplier Nullable(String),
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Fruit String ,
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Price Float64,
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Purchase Date
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) ENGINE = Memory;
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INSERT INTO make_series_test_table VALUES ('Aldi','Apple',4,'2016-09-10'), ('Costco','Apple',2,'2016-09-11'), ('Aldi','Apple',6,'2016-09-10'), ('Costco','Snargaluff',100,'2016-09-12'), ('Aldi','Apple',7,'2016-09-12'), ('Aldi','Snargaluff',400,'2016-09-11'),('Costco','Snargaluff',104,'2016-09-12'),('Aldi','Apple',5,'2016-09-12'),('Aldi','Snargaluff',600,'2016-09-11'),('Costco','Snargaluff',200,'2016-09-10');
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DROP TABLE IF EXISTS make_series_test_table2;
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CREATE TABLE make_series_test_table2
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(
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Supplier Nullable(String),
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Fruit String ,
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Price Int32,
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Purchase Int32
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) ENGINE = Memory;
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INSERT INTO make_series_test_table2 VALUES ('Aldi','Apple',4,10),('Costco','Apple',2,11),('Aldi','Apple',6,10),('Costco','Snargaluff',100,12),('Aldi','Apple',7,12),('Aldi','Snargaluff',400,11),('Costco','Snargaluff',104,12),('Aldi','Apple',5,12),('Aldi','Snargaluff',600,11),('Costco','Snargaluff',200,10);
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DROP TABLE IF EXISTS make_series_test_table3;
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CREATE TABLE make_series_test_table3
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(
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timestamp datetime,
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metric Float64,
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) ENGINE = Memory;
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INSERT INTO make_series_test_table3 VALUES (parseDateTimeBestEffort('2016-12-31T06:00', 'UTC'), 50), (parseDateTimeBestEffort('2017-01-01', 'UTC'), 4), (parseDateTimeBestEffort('2017-01-02', 'UTC'), 3), (parseDateTimeBestEffort('2017-01-03', 'UTC'), 4), (parseDateTimeBestEffort('2017-01-03T03:00', 'UTC'), 6), (parseDateTimeBestEffort('2017-01-05', 'UTC'), 8), (parseDateTimeBestEffort('2017-01-05T13:40', 'UTC'), 13), (parseDateTimeBestEffort('2017-01-06', 'UTC'), 4), (parseDateTimeBestEffort('2017-01-07', 'UTC'), 3), (parseDateTimeBestEffort('2017-01-08', 'UTC'), 8), (parseDateTimeBestEffort('2017-01-08T21:00', 'UTC'), 8), (parseDateTimeBestEffort('2017-01-09', 'UTC'), 2), (parseDateTimeBestEffort('2017-01-09T12:00', 'UTC'), 11), (parseDateTimeBestEffort('2017-01-10T05:00', 'UTC'), 5);
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-- This test requies sorting after some of aggregations but I don't know KQL, sorry
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set max_bytes_before_external_group_by = 0;
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set dialect = 'kusto';
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print '-- from to';
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make_series_test_table | make-series PriceAvg = avg(Price) default=0 on Purchase from datetime(2016-09-10) to datetime(2016-09-13) step 1d by Supplier, Fruit | order by Supplier, Fruit;
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print '-- from';
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make_series_test_table | make-series PriceAvg = avg(Price) default=0 on Purchase from datetime(2016-09-10) step 1d by Supplier, Fruit | order by Supplier, Fruit;
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print '-- to';
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make_series_test_table | make-series PriceAvg = avg(Price) default=0 on Purchase to datetime(2016-09-13) step 1d by Supplier, Fruit | order by Supplier, Fruit;
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print '-- without from/to';
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make_series_test_table | make-series PriceAvg = avg(Price) default=0 on Purchase step 1d by Supplier, Fruit | order by Supplier, Fruit;
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print '-- without by';
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make_series_test_table | make-series PriceAvg = avg(Price) default=0 on Purchase step 1d;
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print '-- without aggregation alias';
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make_series_test_table | make-series avg(Price) default=0 on Purchase step 1d by Supplier, Fruit;
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print '-- assign group alias';
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make_series_test_table | make-series avg(Price) default=0 on Purchase step 1d by Supplier_Name = Supplier, Fruit;
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print '-- 3d step';
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make_series_test_table | make-series PriceAvg = avg(Price) default=0 on Purchase from datetime(2016-09-10) to datetime(2016-09-13) step 3d by Supplier, Fruit | order by Supplier, Fruit;
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print '-- numeric column'
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print '-- from to';
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make_series_test_table2 | make-series PriceAvg=avg(Price) default=0 on Purchase from 10 to 15 step 1.0 by Supplier, Fruit;
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print '-- from';
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make_series_test_table2 | make-series PriceAvg=avg(Price) default=0 on Purchase from 10 step 1.0 by Supplier, Fruit;
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print '-- to';
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make_series_test_table2 | make-series PriceAvg=avg(Price) default=0 on Purchase to 18 step 4.0 by Supplier, Fruit;
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print '-- without from/to';
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make_series_test_table2 | make-series PriceAvg=avg(Price) default=0 on Purchase step 2.0 by Supplier, Fruit;
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print '-- without by';
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make_series_test_table2 | make-series PriceAvg=avg(Price) default=0 on Purchase step 2.0;
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make_series_test_table3 | make-series avg(metric) default=0 on timestamp from datetime(2017-01-01) to datetime(2017-01-10) step 1d
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-- print '-- summarize --'
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-- make_series_test_table | summarize count() by format_datetime(bin(Purchase, 1d), 'yy-MM-dd');
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