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chbench.slt
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chbench.slt
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# Copyright Materialize, Inc. and contributors. All rights reserved.
#
# Use of this software is governed by the Business Source License
# included in the LICENSE file at the root of this repository.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source License, use of this software will be governed
# by the Apache License, Version 2.0.
statement ok
CREATE TABLE warehouse (
w_id integer,
w_name char(10),
w_street_1 char(20),
w_street_2 char(20),
w_city char(20),
w_state char(2),
w_zip char(9),
w_tax decimal(4, 4),
w_ytd decimal(12, 2),
PRIMARY KEY (w_id)
)
statement ok
CREATE TABLE district (
-- should be smallint, see #4171
d_id integer,
d_w_id integer,
d_name char(10),
d_street_1 char(20),
d_street_2 char(20),
d_city char(20),
d_state char(2),
d_zip char(9),
d_tax decimal(4, 4),
d_ytd decimal(12, 2),
d_next_o_id integer,
PRIMARY KEY (d_w_id, d_id)
)
statement ok
CREATE INDEX fk_district_warehouse ON district (d_w_id ASC)
statement ok
CREATE TABLE customer (
-- should be smallint, see #4171
c_id integer,
-- should be smallint, see #4171
c_d_id integer,
c_w_id integer,
c_first char(16),
c_middle char(2),
c_last char(16),
c_street_1 char(20),
c_street_2 char(20),
c_city char(20),
c_state char(2),
c_zip char(9),
c_phone char(16),
c_since DATE,
c_credit char(2),
c_credit_lim decimal(12, 2),
c_discount decimal(4, 4),
c_balance decimal(12, 2),
c_ytd_payment decimal(12, 2),
-- should be smallint, see #4171
c_payment_cnt integer,
-- should be smallint, see #4171
c_delivery_cnt integer,
c_data text,
c_n_nationkey integer,
PRIMARY KEY(c_w_id, c_d_id, c_id)
)
statement ok
CREATE INDEX fk_customer_district ON customer(c_w_id ASC, c_d_id ASC)
statement ok
CREATE INDEX fk_customer_nation ON customer(c_n_nationkey ASC)
statement ok
CREATE TABLE history (
-- should be smallint, see #4171
h_c_id integer,
-- should be smallint, see #4171
h_c_d_id integer,
h_c_w_id integer,
-- should be smallint, see #4171
h_d_id integer,
h_w_id integer,
h_date date,
h_amount decimal(6, 2),
h_data char(24)
)
statement ok
CREATE INDEX fk_history_customer ON history (h_c_w_id ASC, h_c_d_id ASC, h_c_id ASC)
statement ok
CREATE INDEX fk_history_district ON history (h_w_id ASC, h_d_id ASC)
statement ok
CREATE TABLE neworder (
no_o_id integer,
-- should be smallint, see #4171
no_d_id integer,
no_w_id integer,
PRIMARY KEY (no_w_id, no_d_id, no_o_id)
)
statement ok
CREATE TABLE "order" (
o_id integer,
-- should be smallint, see #4171
o_d_id integer,
o_w_id integer,
-- should be smallint, see #4171
o_c_id integer,
o_entry_d date,
-- should be smallint, see #4171
o_carrier_id integer,
-- should be smallint, see #4171
o_ol_cnt integer,
-- should be smallint, see #4171
o_all_local integer,
PRIMARY KEY (o_w_id, o_d_id, o_id)
)
statement ok
CREATE INDEX fk_order_customer ON order (o_w_id ASC, o_d_id ASC, o_c_id ASC)
statement ok
CREATE TABLE orderline (
ol_o_id integer,
-- should be smallint, see #4171
ol_d_id integer,
ol_w_id integer,
-- should be smallint, see #4171
ol_number integer,
ol_i_id integer,
ol_supply_w_id integer,
ol_delivery_d date,
-- should be smallint, see #4171
ol_quantity integer,
ol_amount decimal(6, 2),
ol_dist_info char(24),
PRIMARY KEY (ol_w_id, ol_d_id, ol_o_id, ol_number)
)
statement ok
CREATE INDEX fk_orderline_order ON orderline (ol_w_id ASC, ol_d_id ASC, ol_o_id ASC)
statement ok
CREATE INDEX fk_orderline_stock ON orderline (ol_supply_w_id ASC, ol_i_id ASC)
statement ok
CREATE INDEX fk_orderline_item ON orderline (ol_i_id ASC)
statement ok
CREATE TABLE item (
i_id integer,
-- should be smallint, see #4171
i_im_id integer,
i_name char(24),
i_price decimal(5, 2),
i_data char(50),
PRIMARY KEY (i_id)
)
statement ok
CREATE TABLE stock (
s_i_id integer,
s_w_id integer,
-- smallint
s_quantity integer,
s_dist_01 char(24),
s_dist_02 char(24),
s_dist_03 char(24),
s_dist_04 char(24),
s_dist_05 char(24),
s_dist_06 char(24),
s_dist_07 char(24),
s_dist_08 char(24),
s_dist_09 char(24),
s_dist_10 char(24),
s_ytd integer,
-- should be smallint, see #4171
s_order_cnt integer,
-- should be smallint, see #4171
s_remote_cnt integer,
s_data char(50),
s_su_suppkey integer NOT NULL,
PRIMARY KEY (s_w_id, s_i_id)
)
statement ok
CREATE INDEX fk_stock_warehouse ON stock (s_w_id ASC)
statement ok
CREATE INDEX fk_stock_item ON stock (s_i_id ASC)
statement ok
CREATE INDEX fk_stock_supplier ON stock (s_su_suppkey ASC)
statement ok
CREATE TABLE nation (
-- should be smallint, see #4171
n_nationkey integer NOT NULL,
n_name char(25) NOT NULL,
-- should be smallint, see #4171
n_regionkey integer NOT NULL,
n_comment char(152) NOT NULL,
PRIMARY KEY (n_nationkey)
)
statement ok
CREATE INDEX fk_nation_regionkey ON nation (n_regionkey ASC)
statement ok
CREATE TABLE supplier (
-- should be smallint, see #4171
su_suppkey integer NOT NULL,
su_name char(25) NOT NULL,
su_address char(40) NOT NULL,
-- should be smallint, see #4171
su_nationkey integer NOT NULL,
su_phone char(15) NOT NULL,
su_acctbal decimal(12, 2) NOT NULL,
su_comment char(101) NOT NULL,
PRIMARY KEY (su_suppkey)
)
statement ok
CREATE INDEX fk_supplier_nationkey ON supplier (su_nationkey ASC)
statement ok
CREATE TABLE region (
-- should be smallint, see #4171
r_regionkey integer NOT NULL,
r_name char(55) NOT NULL,
r_comment char(152) NOT NULL,
PRIMARY KEY (r_regionkey)
)
# Query 01
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
ol_number,
sum(ol_quantity) AS sum_qty,
sum(ol_amount) AS sum_amount,
avg(ol_quantity) AS avg_qty,
avg(ol_amount) AS avg_amount,
count(*) AS count_order
FROM orderline
WHERE ol_delivery_d > TIMESTAMP '2007-01-02 00:00:00.000000'
GROUP BY ol_number
ORDER BY ol_number
----
Explained Query:
Finish order_by=[#0 asc nulls_last] output=[#0..=#5]
Project (#0..=#2, #6, #7, #5) // { arity: 6 }
Map ((bigint_to_double(#1) / bigint_to_double(case when (#3 = 0) then null else #3 end)), (numeric_to_double(#2) / bigint_to_double(case when (#4 = 0) then null else #4 end))) // { arity: 8 }
Reduce group_by=[#0] aggregates=[sum(#1), sum(#2), count(#1), count(#2), count(*)] // { arity: 6 }
Project (#3, #7, #8) // { arity: 3 }
Filter (date_to_timestamp(#6) > 2007-01-02 00:00:00) // { arity: 10 }
Get materialize.public.orderline // { arity: 10 }
Used Indexes:
- materialize.public.fk_orderline_order
EOF
# Query 02
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT su_suppkey, su_name, n_name, i_id, i_name, su_address, su_phone, su_comment
FROM
item, supplier, stock, nation, region,
(
SELECT
s_i_id AS m_i_id,
min(s_quantity) AS m_s_quantity
FROM stock, supplier, nation, region
WHERE s_su_suppkey = su_suppkey
AND su_nationkey = n_nationkey
AND n_regionkey = r_regionkey
AND r_name like 'EUROP%'
GROUP BY s_i_id
) m
WHERE i_id = s_i_id
AND s_su_suppkey = su_suppkey
AND su_nationkey = n_nationkey
AND n_regionkey = r_regionkey
AND i_data like '%b'
AND r_name like 'EUROP%'
AND i_id = m_i_id
AND s_quantity = m_s_quantity
ORDER BY n_name, su_name, i_id
----
Explained Query:
Finish order_by=[#2 asc nulls_last, #1 asc nulls_last, #3 asc nulls_last] output=[#0..=#7]
Return // { arity: 8 }
Project (#2, #3, #12, #0, #1, #4, #6, #7) // { arity: 8 }
Join on=(eq(#0, #8, #15) AND #2 = #10 AND #5 = #11 AND #9 = #16 AND #13 = #14) type=differential // { arity: 17 }
implementation
%2:stock[#0, #1] » %5[#0, #1]UKKA » %0:item[#0]UKAlf » %1:supplier[#0]UKAlf » %3:nation[#0]UKAlf » %4:l0[#0]UKAlf
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #2) // { arity: 2 }
Filter "%b" ~~(padchar(#4)) // { arity: 5 }
Get materialize.public.item // { arity: 5 }
ArrangeBy keys=[[#0]] // { arity: 6 }
Project (#0..=#4, #6) // { arity: 6 }
Get materialize.public.supplier // { arity: 7 }
ArrangeBy keys=[[#0, #1]] // { arity: 3 }
Project (#0, #2, #17) // { arity: 3 }
Filter (#2) IS NOT NULL // { arity: 18 }
Get materialize.public.stock // { arity: 18 }
ArrangeBy keys=[[#0]] // { arity: 3 }
Project (#0..=#2) // { arity: 3 }
Get materialize.public.nation // { arity: 4 }
Get l0 // { arity: 1 }
ArrangeBy keys=[[#0, #1]] // { arity: 2 }
Filter (#1) IS NOT NULL // { arity: 2 }
Reduce group_by=[#0] aggregates=[min(#1)] // { arity: 2 }
Project (#0, #2) // { arity: 2 }
Join on=(#17 = #18 AND #19 = #20 AND #21 = #22) type=differential // { arity: 23 }
implementation
%0:stock[#17] » %1:supplier[#0]UKA » %2:nation[#0]UKA » %3:l0[#0]UKAlf
ArrangeBy keys=[[#17]] // { arity: 18 }
Get materialize.public.stock // { arity: 18 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #3) // { arity: 2 }
Get materialize.public.supplier // { arity: 7 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #2) // { arity: 2 }
Get materialize.public.nation // { arity: 4 }
Get l0 // { arity: 1 }
With
cte l0 =
ArrangeBy keys=[[#0]] // { arity: 1 }
Project (#0) // { arity: 1 }
Filter "EUROP%" ~~(padchar(#1)) // { arity: 3 }
Get materialize.public.region // { arity: 3 }
Source materialize.public.item
filter=("%b" ~~(padchar(#4)))
Source materialize.public.region
filter=("EUROP%" ~~(padchar(#1)))
Used Indexes:
- materialize.public.fk_stock_supplier
- materialize.public.fk_nation_regionkey
- materialize.public.fk_supplier_nationkey
EOF
# Query 03
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT ol_o_id, ol_w_id, ol_d_id, sum(ol_amount) AS revenue, o_entry_d
FROM customer, neworder, "order", orderline
WHERE c_state LIKE 'A%'
AND c_id = o_c_id
AND c_w_id = o_w_id
AND c_d_id = o_d_id
AND no_w_id = o_w_id
AND no_d_id = o_d_id
AND no_o_id = o_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 > TIMESTAMP '2007-01-02 00:00:00.000000'
GROUP BY ol_o_id, ol_w_id, ol_d_id, o_entry_d
ORDER BY revenue DESC, o_entry_d
----
Explained Query:
Finish order_by=[#3 desc nulls_first, #4 asc nulls_last] output=[#0..=#4]
Project (#0..=#2, #4, #3) // { arity: 5 }
Reduce group_by=[#2, #1, #0, #3] aggregates=[sum(#4)] // { arity: 5 }
Project (#1..=#3, #10, #14) // { arity: 5 }
Join on=(#0 = #9 AND eq(#1, #4, #7, #12) AND eq(#2, #5, #8, #13) AND eq(#3, #6, #11)) type=differential // { arity: 15 }
implementation
%3:orderline[#0..=#2] » %2:order[#0..=#2]UKKKAif » %0:customer[#0..=#2]UKKKAlif » %1:neworder[#0..=#2]UKKKAlif
ArrangeBy keys=[[#0..=#2]] // { arity: 3 }
Project (#0..=#2) // { arity: 3 }
Filter "A%" ~~(padchar(#9)) // { arity: 22 }
Get materialize.public.customer // { arity: 22 }
ArrangeBy keys=[[#0..=#2]] // { arity: 3 }
Get materialize.public.neworder // { arity: 3 }
ArrangeBy keys=[[#0..=#2]] // { arity: 5 }
Project (#0..=#4) // { arity: 5 }
Filter (#3) IS NOT NULL AND (date_to_timestamp(#4) > 2007-01-02 00:00:00) // { arity: 8 }
Get materialize.public.order // { arity: 8 }
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#2, #8) // { arity: 4 }
Get materialize.public.orderline // { arity: 10 }
Used Indexes:
- materialize.public.fk_customer_district
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
EOF
# Query 04
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT o_ol_cnt, count(*) AS order_count
FROM "order"
WHERE o_entry_d >= TIMESTAMP '2007-01-02 00:00:00.000000'
AND o_entry_d < TIMESTAMP '2012-01-02 00:00:00.000000'
AND EXISTS (
SELECT *
FROM orderline
WHERE o_id = ol_o_id
AND o_w_id = ol_w_id
AND o_d_id = ol_d_id
AND ol_delivery_d >= o_entry_d
)
GROUP BY o_ol_cnt
ORDER BY o_ol_cnt
----
Explained Query:
Finish order_by=[#0 asc nulls_last] output=[#0, #1]
Return // { arity: 2 }
Reduce group_by=[#0] aggregates=[count(*)] // { arity: 2 }
Project (#4) // { arity: 1 }
Join on=(#0 = #5 AND #1 = #6 AND #2 = #7 AND #3 = #8) type=differential // { arity: 9 }
implementation
%1[#0..=#3] » %0:l0[#0..=#3]UKKKKAiif
ArrangeBy keys=[[#0..=#3]] // { arity: 5 }
Project (#0..=#2, #4, #6) // { arity: 5 }
Get l0 // { arity: 9 }
ArrangeBy keys=[[#0..=#3]] // { arity: 4 }
Distinct group_by=[#0..=#3] // { arity: 4 }
Project (#0..=#3) // { arity: 4 }
Filter (#7 >= #3) // { arity: 8 }
Join on=(#0 = #4 AND #1 = #5 AND #2 = #6) type=differential // { arity: 8 }
implementation
%1:orderline[#0..=#2] » %0:l0[#0..=#2]UKKKAiif
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#2, #4) // { arity: 4 }
Get l0 // { arity: 9 }
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#2, #6) // { arity: 4 }
Get materialize.public.orderline // { arity: 10 }
With
cte l0 =
Filter (#8 < 2012-01-02 00:00:00) AND (#8 >= 2007-01-02 00:00:00) // { arity: 9 }
Map (date_to_timestamp(#4)) // { arity: 9 }
Get materialize.public.order // { arity: 8 }
Used Indexes:
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
EOF
# Query 05
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
n_name,
sum(ol_amount) AS revenue
FROM customer, "order", orderline, stock, supplier, nation, region
WHERE c_id = o_c_id
AND c_w_id = o_w_id
AND c_d_id = o_d_id
AND ol_o_id = o_id
AND ol_w_id = o_w_id
AND ol_d_id = o_d_id
AND ol_w_id = s_w_id
AND ol_i_id = s_i_id
AND s_su_suppkey = su_suppkey
AND c_n_nationkey = su_nationkey
AND su_nationkey = n_nationkey
AND n_regionkey = r_regionkey
AND r_name = 'EUROPE'
AND o_entry_d >= TIMESTAMP '2007-01-02 00:00:00.000000'
GROUP BY n_name
ORDER BY revenue DESC
----
Explained Query:
Finish order_by=[#1 desc nulls_first] output=[#0, #1]
Reduce group_by=[#1] aggregates=[sum(#0)] // { arity: 2 }
Project (#12, #19) // { arity: 2 }
Join on=(#0 = #7 AND eq(#1, #5, #9) AND eq(#2, #6, #10, #14) AND eq(#3, #17, #18) AND #4 = #8 AND #11 = #13 AND #15 = #16 AND #20 = #21) type=differential // { arity: 22 }
implementation
%2:orderline[#0..=#2] » %1:order[#0..=#2]UKKKAif » %0:customer[#0..=#2]UKKKAif » %3:stock[#0, #1]UKKAif » %4:supplier[#0, #1]UKKAif » %5:nation[#0]UKAif » %6:region[#0]UKAeif
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#2, #21) // { arity: 4 }
Filter (#21) IS NOT NULL // { arity: 22 }
Get materialize.public.customer // { arity: 22 }
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#3) // { arity: 4 }
Filter (#3) IS NOT NULL AND (date_to_timestamp(#4) >= 2007-01-02 00:00:00) // { arity: 8 }
Get materialize.public.order // { arity: 8 }
ArrangeBy keys=[[#0..=#2]] // { arity: 5 }
Project (#0..=#2, #4, #8) // { arity: 5 }
Filter (#4) IS NOT NULL // { arity: 10 }
Get materialize.public.orderline // { arity: 10 }
ArrangeBy keys=[[#0, #1]] // { arity: 3 }
Project (#0, #1, #17) // { arity: 3 }
Get materialize.public.stock // { arity: 18 }
ArrangeBy keys=[[#0, #1]] // { arity: 2 }
Project (#0, #3) // { arity: 2 }
Get materialize.public.supplier // { arity: 7 }
ArrangeBy keys=[[#0]] // { arity: 3 }
Project (#0..=#2) // { arity: 3 }
Get materialize.public.nation // { arity: 4 }
ArrangeBy keys=[[#0]] // { arity: 1 }
Project (#0) // { arity: 1 }
Filter (#1 = "EUROPE") // { arity: 3 }
Get materialize.public.region // { arity: 3 }
Source materialize.public.region
filter=((#1 = "EUROPE"))
Used Indexes:
- materialize.public.fk_customer_district
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
- materialize.public.fk_stock_warehouse
- materialize.public.fk_nation_regionkey
- materialize.public.fk_supplier_nationkey
EOF
# Query 06
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT sum(ol_amount) AS revenue
FROM orderline
WHERE ol_delivery_d >= TIMESTAMP '1999-01-01 00:00:00.000000'
AND ol_delivery_d < TIMESTAMP '2020-01-01 00:00:00.000000'
AND ol_quantity BETWEEN 1 AND 100000
----
Explained Query:
Return // { arity: 1 }
Union // { arity: 1 }
Get l0 // { arity: 1 }
Map (null) // { arity: 1 }
Union // { arity: 0 }
Negate // { arity: 0 }
Project () // { arity: 0 }
Get l0 // { arity: 1 }
Constant // { arity: 0 }
- ()
With
cte l0 =
Reduce aggregates=[sum(#0)] // { arity: 1 }
Project (#8) // { arity: 1 }
Filter (#10 < 2020-01-01 00:00:00) AND (#7 <= 100000) AND (#7 >= 1) AND (#10 >= 1999-01-01 00:00:00) // { arity: 11 }
Map (date_to_timestamp(#6)) // { arity: 11 }
Get materialize.public.orderline // { arity: 10 }
Used Indexes:
- materialize.public.fk_orderline_order
EOF
# Query 07
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
su_nationkey AS supp_nation,
substr(c_state, 1, 1) AS cust_nation,
EXTRACT(year FROM o_entry_d) AS l_year,
sum(ol_amount) AS revenue
FROM supplier, stock, orderline, "order", customer, nation n1, nation n2
WHERE ol_supply_w_id = s_w_id
AND ol_i_id = s_i_id
AND s_su_suppkey = 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 su_nationkey = n1.n_nationkey
AND c_n_nationkey = n2.n_nationkey
AND (
(n1.n_name = 'GERMANY' AND n2.n_name = 'CAMBODIA')
OR
(n1.n_name = 'CAMBODIA' AND n2.n_name = 'GERMANY')
)
AND ol_delivery_d BETWEEN TIMESTAMP '2007-01-02 00:00:00.000000' AND TIMESTAMP '2012-01-02 00:00:00.000000'
GROUP BY su_nationkey, substr(c_state, 1, 1), EXTRACT(year FROM o_entry_d)
ORDER BY su_nationkey, cust_nation, l_year
----
Explained Query:
Finish order_by=[#0 asc nulls_last, #1 asc nulls_last, #2 asc nulls_last] output=[#0..=#3]
Return // { arity: 4 }
Reduce group_by=[#0, substr(char_to_text(#3), 1, 1), extract_year_d(#2)] aggregates=[sum(#1)] // { arity: 4 }
Project (#1, #10, #15, #19) // { arity: 4 }
Filter (((#22 = "GERMANY") AND (#24 = "CAMBODIA")) OR ((#22 = "CAMBODIA") AND (#24 = "GERMANY"))) // { arity: 25 }
Join on=(#0 = #4 AND #1 = #21 AND #2 = #8 AND #3 = #9 AND #5 = #11 AND eq(#6, #12, #17) AND eq(#7, #13, #18) AND #14 = #16 AND #20 = #23) type=differential // { arity: 25 }
implementation
%2:orderline[#0..=#2] » %3:order[#0..=#2]UKKKAiif » %4:customer[#0..=#2]UKKKAiif » %1:stock[#0, #1]UKKAiif » %6:l0[#0]UKAeiif » %0:supplier[#0]UKAeiif » %5:l0[#0]UKAeiif
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #3) // { arity: 2 }
Get materialize.public.supplier // { arity: 7 }
ArrangeBy keys=[[#0, #1]] // { arity: 3 }
Project (#0, #1, #17) // { arity: 3 }
Get materialize.public.stock // { arity: 18 }
ArrangeBy keys=[[#0..=#2]] // { arity: 6 }
Project (#0..=#2, #4, #5, #8) // { arity: 6 }
Filter (#10 <= 2012-01-02 00:00:00) AND (#10 >= 2007-01-02 00:00:00) AND (#4) IS NOT NULL AND (#5) IS NOT NULL // { arity: 11 }
Map (date_to_timestamp(#6)) // { arity: 11 }
Get materialize.public.orderline // { arity: 10 }
ArrangeBy keys=[[#0..=#2]] // { arity: 5 }
Project (#0..=#4) // { arity: 5 }
Filter (#3) IS NOT NULL // { arity: 8 }
Get materialize.public.order // { arity: 8 }
ArrangeBy keys=[[#0..=#2]] // { arity: 5 }
Project (#0..=#2, #9, #21) // { arity: 5 }
Filter (#21) IS NOT NULL // { arity: 22 }
Get materialize.public.customer // { arity: 22 }
Get l0 // { arity: 2 }
Get l0 // { arity: 2 }
With
cte l0 =
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #1) // { arity: 2 }
Filter ((#1 = "GERMANY") OR (#1 = "CAMBODIA")) // { arity: 4 }
Get materialize.public.nation // { arity: 4 }
Used Indexes:
- materialize.public.fk_customer_district
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
- materialize.public.fk_stock_warehouse
- materialize.public.fk_nation_regionkey
- materialize.public.fk_supplier_nationkey
EOF
# Query 08
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
EXTRACT(year FROM o_entry_d) AS l_year,
sum(CASE WHEN n2.n_name = 'GERMANY' THEN ol_amount ELSE 0 END) / CASE WHEN sum(ol_amount) = 0 THEN 1 ELSE sum(ol_amount) END AS mkt_share
FROM item, supplier, stock, orderline, "order", 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 s_su_suppkey = 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 = c_n_nationkey
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 TIMESTAMP '2007-01-02 00:00:00.000000' AND TIMESTAMP '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
----
Explained Query:
Finish order_by=[#0 asc nulls_last] output=[#0, #1]
Project (#0, #3) // { arity: 2 }
Map ((#1 / case when (#2 = 0) then 1 else #2 end)) // { arity: 4 }
Reduce group_by=[extract_year_d(#1)] aggregates=[sum(case when (#2 = "GERMANY") then #0 else 0 end), sum(#0)] // { arity: 3 }
Project (#11, #16, #24) // { arity: 3 }
Join on=(eq(#0, #3, #9) AND #1 = #5 AND #2 = #23 AND #4 = #10 AND #6 = #12 AND eq(#7, #13, #18) AND eq(#8, #14, #19) AND #15 = #17 AND #20 = #21 AND #22 = #25) type=differential // { arity: 26 }
implementation
%3:orderline[#0..=#2] » %4:order[#0..=#2]UKKKAiiif » %5:customer[#0..=#2]UKKKAiiif » %2:stock[#0, #1]UKKAiiiif » %0:item[#0]UKAliiiiif » %1:supplier[#0]UKAliiiiif » %6:nation[#0]UKAliiiiif » %8:region[#0]UKAeliiiiif » %7:nation[#0]UKAeliiiiif
ArrangeBy keys=[[#0]] // { arity: 1 }
Project (#0) // { arity: 1 }
Filter (#0 < 1000) AND "%b" ~~(padchar(#4)) // { arity: 5 }
Get materialize.public.item // { arity: 5 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #3) // { arity: 2 }
Get materialize.public.supplier // { arity: 7 }
ArrangeBy keys=[[#0, #1]] // { arity: 3 }
Project (#0, #1, #17) // { arity: 3 }
Filter (#0 < 1000) // { arity: 18 }
Get materialize.public.stock // { arity: 18 }
ArrangeBy keys=[[#0..=#2]] // { arity: 6 }
Project (#0..=#2, #4, #5, #8) // { arity: 6 }
Filter (#4 < 1000) AND (#5) IS NOT NULL // { arity: 10 }
Get materialize.public.orderline // { arity: 10 }
ArrangeBy keys=[[#0..=#2]] // { arity: 5 }
Project (#0..=#4) // { arity: 5 }
Filter (#8 <= 2012-01-02 00:00:00) AND (#8 >= 2007-01-02 00:00:00) AND (#3) IS NOT NULL // { arity: 9 }
Map (date_to_timestamp(#4)) // { arity: 9 }
Get materialize.public.order // { arity: 8 }
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#2, #21) // { arity: 4 }
Filter (#21) IS NOT NULL // { arity: 22 }
Get materialize.public.customer // { arity: 22 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #2) // { arity: 2 }
Get materialize.public.nation // { arity: 4 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #1) // { arity: 2 }
Get materialize.public.nation // { arity: 4 }
ArrangeBy keys=[[#0]] // { arity: 1 }
Project (#0) // { arity: 1 }
Filter (#1 = "EUROPE") // { arity: 3 }
Get materialize.public.region // { arity: 3 }
Source materialize.public.item
filter=((#0 < 1000) AND "%b" ~~(padchar(#4)))
Source materialize.public.region
filter=((#1 = "EUROPE"))
Used Indexes:
- materialize.public.fk_customer_district
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
- materialize.public.fk_stock_warehouse
- materialize.public.fk_nation_regionkey
- materialize.public.fk_supplier_nationkey
EOF
# Query 09
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
n_name, EXTRACT(year FROM o_entry_d) AS l_year,
sum(ol_amount) AS sum_profit
FROM item, stock, supplier, orderline, "order", nation
WHERE ol_i_id = s_i_id
AND ol_supply_w_id = s_w_id
AND s_su_suppkey = 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 '%BB'
GROUP BY n_name, EXTRACT(year FROM o_entry_d)
ORDER BY n_name, l_year DESC
----
Explained Query:
Finish order_by=[#0 asc nulls_last, #1 desc nulls_first] output=[#0..=#2]
Reduce group_by=[#2, extract_year_d(#1)] aggregates=[sum(#0)] // { arity: 3 }
Project (#11, #15, #17) // { arity: 3 }
Join on=(eq(#0, #1, #9) AND #2 = #10 AND #3 = #4 AND #5 = #16 AND #6 = #12 AND #7 = #13 AND #8 = #14) type=differential // { arity: 18 }
implementation
%3:orderline[#0..=#2] » %4:order[#0..=#2]UKKKA » %1:stock[#0, #1]UKKA » %0:item[#0]UKAlf » %2:supplier[#0]UKAlf » %5:nation[#0]UKAlf
ArrangeBy keys=[[#0]] // { arity: 1 }
Project (#0) // { arity: 1 }
Filter "%BB" ~~(padchar(#4)) // { arity: 5 }
Get materialize.public.item // { arity: 5 }
ArrangeBy keys=[[#0, #1]] // { arity: 3 }
Project (#0, #1, #17) // { arity: 3 }
Get materialize.public.stock // { arity: 18 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #3) // { arity: 2 }
Get materialize.public.supplier // { arity: 7 }
ArrangeBy keys=[[#0..=#2]] // { arity: 6 }
Project (#0..=#2, #4, #5, #8) // { arity: 6 }
Filter (#4) IS NOT NULL AND (#5) IS NOT NULL // { arity: 10 }
Get materialize.public.orderline // { arity: 10 }
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#2, #4) // { arity: 4 }
Get materialize.public.order // { arity: 8 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #1) // { arity: 2 }
Get materialize.public.nation // { arity: 4 }
Source materialize.public.item
filter=("%BB" ~~(padchar(#4)))
Used Indexes:
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
- materialize.public.fk_stock_warehouse
- materialize.public.fk_nation_regionkey
- materialize.public.fk_supplier_nationkey
EOF
# Query 10
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
c_id, c_last, sum(ol_amount) AS revenue, c_city, c_phone, n_name
FROM customer, "order", orderline, 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 >= TIMESTAMP '2007-01-02 00:00:00.000000'
AND o_entry_d <= ol_delivery_d
AND n_nationkey = c_n_nationkey
GROUP BY c_id, c_last, c_city, c_phone, n_name
ORDER BY revenue DESC
----
Explained Query:
Finish order_by=[#2 desc nulls_first] output=[#0..=#5]
Project (#0, #1, #5, #2..=#4) // { arity: 6 }
Reduce group_by=[#0..=#3, #5] aggregates=[sum(#4)] // { arity: 6 }
Project (#0, #3..=#5, #16, #18) // { arity: 6 }
Filter (#11 <= #15) // { arity: 19 }
Join on=(#0 = #10 AND eq(#1, #8, #13) AND eq(#2, #9, #14) AND #6 = #17 AND #7 = #12) type=differential // { arity: 19 }
implementation
%2:orderline[#0..=#2] » %1:order[#0..=#2]UKKKAif » %0:customer[#0..=#2]UKKKAif » %3:nation[#0]UKAif
ArrangeBy keys=[[#0..=#2]] // { arity: 7 }
Project (#0..=#2, #5, #8, #11, #21) // { arity: 7 }
Filter (#21) IS NOT NULL // { arity: 22 }
Get materialize.public.customer // { arity: 22 }
ArrangeBy keys=[[#0..=#2]] // { arity: 5 }
Project (#0..=#4) // { arity: 5 }
Filter (#3) IS NOT NULL AND (date_to_timestamp(#4) >= 2007-01-02 00:00:00) // { arity: 8 }
Get materialize.public.order // { arity: 8 }
ArrangeBy keys=[[#0..=#2]] // { arity: 5 }
Project (#0..=#2, #6, #8) // { arity: 5 }
Get materialize.public.orderline // { arity: 10 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #1) // { arity: 2 }
Get materialize.public.nation // { arity: 4 }
Used Indexes:
- materialize.public.fk_customer_district
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
- materialize.public.fk_nation_regionkey
EOF
# Query 11
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT s_i_id, sum(s_order_cnt) AS ordercount
FROM stock, supplier, nation
WHERE s_su_suppkey = 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) * 0.005
FROM stock, supplier, nation
WHERE s_su_suppkey = su_suppkey
AND su_nationkey = n_nationkey
AND n_name = 'GERMANY'
)
ORDER BY ordercount DESC
----
Explained Query:
Finish order_by=[#1 desc nulls_first] output=[#0, #1]
Return // { arity: 2 }
Project (#0, #1) // { arity: 2 }
Filter (bigint_to_numeric(#1) > (bigint_to_numeric(#2) * 0.005)) // { arity: 3 }
CrossJoin type=differential // { arity: 3 }
implementation
%0[×] » %1[×]UA
ArrangeBy keys=[[]] // { arity: 2 }
Reduce group_by=[#0] aggregates=[sum(#1)] // { arity: 2 }
Get l0 // { arity: 2 }
ArrangeBy keys=[[]] // { arity: 1 }
Reduce aggregates=[sum(#0)] // { arity: 1 }
Project (#1) // { arity: 1 }
Get l0 // { arity: 2 }
With
cte l0 =
Project (#0, #14) // { arity: 2 }
Join on=(#17 = #18 AND #19 = #20) type=differential // { arity: 21 }
implementation
%0:stock[#17] » %1:supplier[#0]UKA » %2:nation[#0]UKAef
ArrangeBy keys=[[#17]] // { arity: 18 }
Get materialize.public.stock // { arity: 18 }
ArrangeBy keys=[[#0]] // { arity: 2 }
Project (#0, #3) // { arity: 2 }
Get materialize.public.supplier // { arity: 7 }
ArrangeBy keys=[[#0]] // { arity: 1 }
Project (#0) // { arity: 1 }
Filter (#1 = "GERMANY") // { arity: 4 }
Get materialize.public.nation // { arity: 4 }
Used Indexes:
- materialize.public.fk_stock_supplier
- materialize.public.fk_nation_regionkey
- materialize.public.fk_supplier_nationkey
EOF
# Query 12
query T multiline
EXPLAIN WITH(arity, join_impls)
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
"order", orderline
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 < TIMESTAMP '2020-01-01 00:00:00.000000'
GROUP BY o_ol_cnt
ORDER BY o_ol_cnt
----
Explained Query:
Finish order_by=[#0 asc nulls_last] output=[#0..=#2]
Reduce group_by=[#1] aggregates=[sum(case when ((#0 = 1) OR (#0 = 2)) then 1 else 0 end), sum(case when ((#0 != 1) AND (#0 != 2)) then 1 else 0 end)] // { arity: 3 }
Project (#4, #5) // { arity: 2 }
Filter (#3 <= #9) // { arity: 10 }
Join on=(#0 = #6 AND #1 = #7 AND #2 = #8) type=differential // { arity: 10 }
implementation
%1:orderline[#0..=#2] » %0:order[#0..=#2]UKKKAif
ArrangeBy keys=[[#0..=#2]] // { arity: 6 }
Project (#0..=#2, #4..=#6) // { arity: 6 }
Get materialize.public.order // { arity: 8 }
ArrangeBy keys=[[#0..=#2]] // { arity: 4 }
Project (#0..=#2, #6) // { arity: 4 }
Filter (date_to_timestamp(#6) < 2020-01-01 00:00:00) // { arity: 10 }
Get materialize.public.orderline // { arity: 10 }
Used Indexes:
- materialize.public.fk_order_customer
- materialize.public.fk_orderline_order
EOF
# Query 13
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
c_count, count(*) AS custdist
FROM (
SELECT c_id, count(o_id) as c_count
FROM customer
LEFT OUTER JOIN "order" 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
GROUP BY c_count
ORDER BY custdist DESC, c_count DESC
----
Explained Query:
Finish order_by=[#1 desc nulls_first, #0 desc nulls_first] output=[#0, #1]
Return // { arity: 2 }
Reduce group_by=[#0] aggregates=[count(*)] // { arity: 2 }
Project (#1) // { arity: 1 }
Reduce group_by=[#0] aggregates=[count(#1)] // { arity: 2 }
Union // { arity: 2 }
Project (#0, #22) // { arity: 2 }
Get l0 // { arity: 23 }
Map (null) // { arity: 2 }
Union // { arity: 1 }
Negate // { arity: 1 }
Project (#0) // { arity: 1 }
Distinct group_by=[#0..=#21] // { arity: 22 }
Project (#0..=#21) // { arity: 22 }
Get l0 // { arity: 23 }
Project (#0) // { arity: 1 }
Get materialize.public.customer // { arity: 22 }
With
cte l0 =
Project (#0..=#22) // { arity: 23 }
Join on=(#0 = #25 AND #1 = #23 AND #2 = #24) type=differential // { arity: 26 }
implementation
%1:order[#3, #1, #2] » %0:customer[#0..=#2]UKKKAif
ArrangeBy keys=[[#0..=#2]] // { arity: 22 }
Get materialize.public.customer // { arity: 22 }
ArrangeBy keys=[[#3, #1, #2]] // { arity: 4 }
Project (#0..=#3) // { arity: 4 }
Filter (#5 > 8) AND (#3) IS NOT NULL // { arity: 8 }
Get materialize.public.order // { arity: 8 }
Used Indexes:
- materialize.public.fk_customer_district
- materialize.public.fk_order_customer
EOF
# Query 14
query T multiline
EXPLAIN WITH(arity, join_impls)
SELECT
100.00 * sum(CASE WHEN i_data LIKE 'PR%' THEN ol_amount ELSE 0 END) / (1 + sum(ol_amount)) AS promo_revenue
FROM orderline, item
WHERE ol_i_id = i_id
AND ol_delivery_d >= TIMESTAMP '2007-01-02 00:00:00.000000'
AND ol_delivery_d < TIMESTAMP '2020-01-02 00:00:00.000000'
----
Explained Query:
Return // { arity: 1 }
Project (#2) // { arity: 1 }
Map (((100 * #0) / (1 + #1))) // { arity: 3 }
Union // { arity: 2 }
Get l0 // { arity: 2 }
Map (null, null) // { arity: 2 }
Union // { arity: 0 }