citus/src/test/regress/sql/ch_benchmarks_2.sql

188 lines
4.2 KiB
SQL

SET search_path to "ch benchmarks";
-- Query 8
SELECT
extract(year from o_entry_d) as l_year,
sum(case when n2.n_name = 'Germany' then ol_amount else 0 end) / sum(ol_amount) as mkt_share
FROM
item,
supplier,
stock,
order_line,
oorder,
customer,
nation n1,
nation n2,
region
WHERE i_id = s_i_id
AND ol_i_id = s_i_id
AND ol_supply_w_id = s_w_id
AND mod((s_w_id * s_i_id),10000) = su_suppkey
AND ol_w_id = o_w_id
AND ol_d_id = o_d_id
AND ol_o_id = o_id
AND c_id = o_c_id
AND c_w_id = o_w_id
AND c_d_id = o_d_id
AND n1.n_nationkey = ascii(substr(c_state,1,1))
AND n1.n_regionkey = r_regionkey
AND ol_i_id < 1000
AND r_name = 'Europe'
AND su_nationkey = n2.n_nationkey
AND o_entry_d BETWEEN '2007-01-02 00:00:00.000000' AND '2012-01-02 00:00:00.000000'
AND i_data LIKE '%b'
AND i_id = ol_i_id
GROUP BY extract(YEAR FROM o_entry_d)
ORDER BY l_year;
-- Query 9
SELECT
n_name,
extract(year from o_entry_d) as l_year,
sum(ol_amount) as sum_profit
FROM
item,
stock,
supplier,
order_line,
oorder,
nation
WHERE ol_i_id = s_i_id
AND ol_supply_w_id = s_w_id
AND mod((s_w_id * s_i_id), 10000) = su_suppkey
AND ol_w_id = o_w_id
AND ol_d_id = o_d_id
AND ol_o_id = o_id
AND ol_i_id = i_id
AND su_nationkey = n_nationkey
AND i_data LIKE '%b' -- this used to be %BB but that will not work with our small dataset
GROUP BY
n_name,
extract(YEAR FROM o_entry_d)
ORDER BY
n_name,
l_year DESC;
-- Query 10
SELECT
c_id,
c_last,
sum(ol_amount) AS revenue,
c_city,
c_phone,
n_name
FROM
customer,
oorder,
order_line,
nation
WHERE c_id = o_c_id
AND c_w_id = o_w_id
AND c_d_id = o_d_id
AND ol_w_id = o_w_id
AND ol_d_id = o_d_id
AND ol_o_id = o_id
AND o_entry_d >= '2007-01-02 00:00:00.000000'
AND o_entry_d <= ol_delivery_d
AND n_nationkey = ascii(substr(c_state,1,1))
GROUP BY
c_id,
c_last,
c_city,
c_phone,
n_name
ORDER BY revenue DESC;
-- Query 11
SELECT
s_i_id,
sum(s_order_cnt) AS ordercount
FROM
stock,
supplier,
nation
WHERE mod((s_w_id * s_i_id),10000) = su_suppkey
AND su_nationkey = n_nationkey
AND n_name = 'Germany'
GROUP BY s_i_id
HAVING sum(s_order_cnt) >
(SELECT sum(s_order_cnt) * .005
FROM
stock,
supplier,
nation
WHERE mod((s_w_id * s_i_id),10000) = su_suppkey
AND su_nationkey = n_nationkey
AND n_name = 'Germany')
ORDER BY ordercount DESC;
-- Query 12
SELECT
o_ol_cnt,
sum(case when o_carrier_id = 1 or o_carrier_id = 2 then 1 else 0 end) as high_line_count,
sum(case when o_carrier_id <> 1 and o_carrier_id <> 2 then 1 else 0 end) as low_line_count
FROM
oorder,
order_line
WHERE ol_w_id = o_w_id
AND ol_d_id = o_d_id
AND ol_o_id = o_id
AND o_entry_d <= ol_delivery_d
AND ol_delivery_d < '2020-01-01 00:00:00.000000'
GROUP BY o_ol_cnt
ORDER BY o_ol_cnt;
-- Query 13
SELECT
c_count,
count(*) AS custdist
FROM (SELECT
c_id,
count(o_id)
FROM customer
LEFT OUTER JOIN oorder ON (
c_w_id = o_w_id
AND c_d_id = o_d_id
AND c_id = o_c_id
AND o_carrier_id > 8)
GROUP BY c_id) AS c_orders (c_id, c_count)
GROUP BY c_count
ORDER BY
custdist DESC,
c_count DESC;
-- Query 14
SELECT
100.00 * sum(CASE WHEN i_data LIKE 'PR%' THEN ol_amount ELSE 0 END) / (1+sum(ol_amount)) AS promo_revenue
FROM
order_line,
item
WHERE ol_i_id = i_id
AND ol_delivery_d >= '2007-01-02 00:00:00.000000'
AND ol_delivery_d < '2020-01-02 00:00:00.000000';
-- Query 15
WITH revenue (supplier_no, total_revenue) AS (
SELECT
mod((s_w_id * s_i_id),10000) AS supplier_no,
sum(ol_amount) AS total_revenue
FROM
order_line,
stock
WHERE ol_i_id = s_i_id
AND ol_supply_w_id = s_w_id
AND ol_delivery_d >= '2007-01-02 00:00:00.000000'
GROUP BY mod((s_w_id * s_i_id),10000))
SELECT
su_suppkey,
su_name,
su_address,
su_phone,
total_revenue
FROM
supplier,
revenue
WHERE su_suppkey = supplier_no
AND total_revenue = (SELECT max(total_revenue) FROM revenue)
ORDER BY su_suppkey;