484c881583
* fix(impala): add select supprt is true/false/unknown and support more SEMICOLON * fix(impala): not use emptyStatement replace SEMICOLON * test(impala): add select unit test sql and test splitSQLByStatement
216 lines
6.3 KiB
SQL
216 lines
6.3 KiB
SQL
-- example
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-- JOINS
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SELECT * from a;
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SELECT t1.c1, t2.c2 FROM t1 JOIN t2
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ON t1.id = t2.id and t1.type_flag = t2.type_flag
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WHERE t1.c1 > 100;
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SELECT t1.c1, t2.c2 FROM t1 JOIN t2
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USING (id, type_flag)
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WHERE t1.c1 > 100;
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SELECT t1.c1, t2.c2 FROM t1, t2
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WHERE
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t1.id = t2.id AND t1.type_flag = t2.type_flag
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AND t1.c1 > 100;
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SELECT lhs.id, rhs.parent, lhs.c1, rhs.c2 FROM tree_data lhs, tree_data rhs WHERE lhs.id = rhs.parent;
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SELECT t1.id, c1, c2 FROM t1, t2 WHERE t1.id = t2.id;
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SELECT t1.id, c1, c2 FROM t1 JOIN t2 ON t1.id = t2.id;
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SELECT t1.id, c1, c2 FROM t1 INNER JOIN t2 ON t1.id = t2.id;
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SELECT * FROM t1 LEFT OUTER JOIN t2 ON t1.id = t2.id;
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SELECT * FROM t1 RIGHT OUTER JOIN t2 ON t1.id = t2.id;
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SELECT * FROM t1 FULL OUTER JOIN t2 ON t1.id = t2.id;
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SELECT * FROM t1 CROSS JOIN t2 WHERE t1.total > t2.maximum_price;
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SELECT * FROM t1 LEFT OUTER JOIN t2 ON t1.int_col < t2.int_col;
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SELECT t1.c1, t1.c2, t1.c2 FROM t1 LEFT SEMI JOIN t2 ON t1.id = t2.id;
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select t1.c1 as first_id, t2.c2 as second_id from
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t1 join t2 on first_id = second_id;
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select fact.custno, dimension.custno from
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customer_data as fact join customer_address as dimension
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using (custno);
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-- ORDER BY
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SELECT id FROM games ORDER BY score DESC;
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SELECT id, item FROM games, games.score
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WHERE item > 1000000
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ORDER BY id, item desc;
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SELECT id, info.key1 AS k, info.value1 AS v from games3, games3.play AS plays, games3.item AS info
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WHERE info.KEY1 = 'score' AND info.VALUE1 > 1000000
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ORDER BY id, info.value1 desc;
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SELECT user_id AS "Top 10 Visitors", SUM(page_views) FROM web_stats
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GROUP BY page_views, user_id
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ORDER BY SUM(page_views) DESC LIMIT 10;
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SELECT page_title AS "Page 3 of search results", page_url FROM search_content
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WHERE LOWER(page_title) LIKE '%game%'
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ORDER BY page_title LIMIT 10 OFFSET 20;
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select x from numbers order by x desc nulls last;
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-- GROUP BY
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select
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ss_item_sk as Item,
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count(ss_item_sk) as Times_Purchased,
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sum(ss_quantity) as Total_Quantity_Purchased
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from store_sales
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group by ss_item_sk
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order by sum(ss_quantity) desc
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limit 5;
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select
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ss_item_sk as Item,
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count(ss_item_sk) as Times_Purchased,
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sum(ss_quantity) as Total_Quantity_Purchased
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from store_sales
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group by ss_item_sk
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having times_purchased >= 100
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order by sum(ss_quantity)
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limit 5;
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select ss_wholesale_cost, avg(ss_quantity * ss_sales_price) as avg_revenue_per_sale
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from sales
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group by ss_wholesale_cost
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order by avg_revenue_per_sale desc
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limit 5;
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select x as "Top 3" from numbers order by x desc limit 3;
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SELECT X FROM T1 LIMIT LENGTH('HELLO WORLD');
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SELECT x FROM t1 LIMIT cast(truncate(9.9) AS INT);
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-- UNION
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select * from (select x from few_ints union all select x from few_ints) as t1 order by x;
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-- Subqueries
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SELECT employee_name, employee_id FROM employees one WHERE
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salary > (SELECT avg(salary) FROM employees two WHERE one.dept_id = two.dept_id);
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SELECT avg(t1.x), max(t2.y) FROM
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(SELECT id, cast(a AS DECIMAL(10,5)) AS x FROM raw_data WHERE a BETWEEN 0 AND 100) AS t1
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JOIN
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(SELECT id, length(s) AS y FROM raw_data WHERE s LIKE 'A%') AS t2
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USING (id);
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SELECT count(x) FROM t1 WHERE EXISTS(SELECT 1 FROM t2 WHERE t1.x = t2.y * 10);
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SELECT x FROM t1 WHERE x IN (SELECT y FROM t2 WHERE state = 'CA');
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SELECT x FROM t1 WHERE y = (SELECT max(z) FROM t2);
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SELECT x FROM t1 WHERE y > (SELECT count(z) FROM t2);
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SELECT * FROM t1 one WHERE id IN (SELECT parent FROM t1 two WHERE t1.parent = t2.id);
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-- TABLESAMPLE
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select distinct x from sample_demo tablesample system(50);
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select distinct x from sample_demo
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tablesample system(50) repeatable (12345);
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select count(*) from sample_demo_partitions
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tablesample system(50) where n = 1;
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-- WITH
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with t1 as (select 1), t2 as (select 2) insert into tab select * from t1 union all select * from t2;
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-- DISTINCT
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SELECT COUNT(DISTINCT c_salutation, c_last_name) FROM customer;
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SELECT DISTINCT c_salutation, c_last_name FROM customer;
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-- OTHERS
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select
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r_name,
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count(r_nations.item.n_nationkey) as count,
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sum(r_nations.item.n_nationkey) as sum,
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avg(r_nations.item.n_nationkey) as avg,
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min(r_nations.item.n_name) as minimum,
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max(r_nations.item.n_name) as maximum,
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ndv(r_nations.item.n_nationkey) as distinct_vals
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from
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region, region.r_nations as r_nations
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group by r_name
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order by r_name;
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select "contains an even number" as assertion from t3 where exists (select z from t3 where z % 2 = 0) limit 1;
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select null is distinct from null, null != null;
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select
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'x' is distinct from 'x ' as string_with_trailing_spaces,
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cast('x' as char(5)) is distinct from cast('x ' as char(5)) as char_with_trailing_spaces;
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select c_first_name, c_last_name from customer where c_first_name regexp '^J.*';
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SELECT
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t1.transaction_id as transaction_id1,
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t1.customer_id,
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t1.transaction_date,
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t1.transaction_amount,
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t2.transaction_id as subsequent_transaction_id
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FROM
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transactions t1
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LEFT JOIN (
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SELECT
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transaction_id,
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customer_id,
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transaction_date,
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transaction_amount,
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LEAD (transaction_id) OVER (
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PARTITION BY
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customer_id
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ORDER BY
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transaction_date
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) AS transaction_id
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FROM
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transactions
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) t2 ON t1.transaction_id = t2.transaction_id
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AND t1.customer_id = t2.customer_id
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AND t1.transaction_date = t2.transaction_date
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AND t1.transaction_amount = t2.transaction_amount;
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select appx_median(x) from million_numbers;
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select count(x) as higher from million_numbers where x > (select appx_median(x) from million_numbers);
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select avg(length(s)) from t1;
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select 'fooBar' ilike 'FOOBAR';
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select 'ABCXYZ' not ilike 'ab_xyz';
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select 1 not in (1,null,2,3);
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SELECT c1 AS "starts with vowel" FROM t2 WHERE upper(substr(c1,1,1)) IN ('A','E','I','O','U');
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select 'abcABCaabbcc' iregexp '^[a-c]+$';
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select null is distinct from null, null != null;
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select
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'x' is distinct from 'x ' as string_with_trailing_spaces,
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cast('x' as char(5)) is distinct from cast('x ' as char(5)) as char_with_trailing_spaces;
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select assertion, b, b is true, b is false, b is unknown
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from boolean_test;
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select true and null;
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select c_first_name, c_last_name from customer where lower(trim(c_last_name)) regexp '^de.*';
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select c_first_name, c_last_name from customer where lower(trim(c_last_name)) rlike '^de.*'; |