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tidb/cmd/explaintest/r/tpch.result

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CREATE DATABASE IF NOT EXISTS TPCH;
USE TPCH;
CREATE TABLE IF NOT EXISTS nation ( N_NATIONKEY INTEGER NOT NULL,
N_NAME CHAR(25) NOT NULL,
N_REGIONKEY INTEGER NOT NULL,
N_COMMENT VARCHAR(152),
PRIMARY KEY (N_NATIONKEY));
CREATE TABLE IF NOT EXISTS region ( R_REGIONKEY INTEGER NOT NULL,
R_NAME CHAR(25) NOT NULL,
R_COMMENT VARCHAR(152),
PRIMARY KEY (R_REGIONKEY));
CREATE TABLE IF NOT EXISTS part ( P_PARTKEY INTEGER NOT NULL,
P_NAME VARCHAR(55) NOT NULL,
P_MFGR CHAR(25) NOT NULL,
P_BRAND CHAR(10) NOT NULL,
P_TYPE VARCHAR(25) NOT NULL,
P_SIZE INTEGER NOT NULL,
P_CONTAINER CHAR(10) NOT NULL,
P_RETAILPRICE DECIMAL(15,2) NOT NULL,
P_COMMENT VARCHAR(23) NOT NULL,
PRIMARY KEY (P_PARTKEY));
CREATE TABLE IF NOT EXISTS supplier ( S_SUPPKEY INTEGER NOT NULL,
S_NAME CHAR(25) NOT NULL,
S_ADDRESS VARCHAR(40) NOT NULL,
S_NATIONKEY INTEGER NOT NULL,
S_PHONE CHAR(15) NOT NULL,
S_ACCTBAL DECIMAL(15,2) NOT NULL,
S_COMMENT VARCHAR(101) NOT NULL,
PRIMARY KEY (S_SUPPKEY),
CONSTRAINT FOREIGN KEY SUPPLIER_FK1 (S_NATIONKEY) references nation(N_NATIONKEY));
CREATE TABLE IF NOT EXISTS partsupp ( PS_PARTKEY INTEGER NOT NULL,
PS_SUPPKEY INTEGER NOT NULL,
PS_AVAILQTY INTEGER NOT NULL,
PS_SUPPLYCOST DECIMAL(15,2) NOT NULL,
PS_COMMENT VARCHAR(199) NOT NULL,
PRIMARY KEY (PS_PARTKEY,PS_SUPPKEY),
CONSTRAINT FOREIGN KEY PARTSUPP_FK1 (PS_SUPPKEY) references supplier(S_SUPPKEY),
CONSTRAINT FOREIGN KEY PARTSUPP_FK2 (PS_PARTKEY) references part(P_PARTKEY));
CREATE TABLE IF NOT EXISTS customer ( C_CUSTKEY INTEGER NOT NULL,
C_NAME VARCHAR(25) NOT NULL,
C_ADDRESS VARCHAR(40) NOT NULL,
C_NATIONKEY INTEGER NOT NULL,
C_PHONE CHAR(15) NOT NULL,
C_ACCTBAL DECIMAL(15,2) NOT NULL,
C_MKTSEGMENT CHAR(10) NOT NULL,
C_COMMENT VARCHAR(117) NOT NULL,
PRIMARY KEY (C_CUSTKEY),
CONSTRAINT FOREIGN KEY CUSTOMER_FK1 (C_NATIONKEY) references nation(N_NATIONKEY));
CREATE TABLE IF NOT EXISTS orders ( O_ORDERKEY INTEGER NOT NULL,
O_CUSTKEY INTEGER NOT NULL,
O_ORDERSTATUS CHAR(1) NOT NULL,
O_TOTALPRICE DECIMAL(15,2) NOT NULL,
O_ORDERDATE DATE NOT NULL,
O_ORDERPRIORITY CHAR(15) NOT NULL,
O_CLERK CHAR(15) NOT NULL,
O_SHIPPRIORITY INTEGER NOT NULL,
O_COMMENT VARCHAR(79) NOT NULL,
PRIMARY KEY (O_ORDERKEY),
CONSTRAINT FOREIGN KEY ORDERS_FK1 (O_CUSTKEY) references customer(C_CUSTKEY));
CREATE TABLE IF NOT EXISTS lineitem ( L_ORDERKEY INTEGER NOT NULL,
L_PARTKEY INTEGER NOT NULL,
L_SUPPKEY INTEGER NOT NULL,
L_LINENUMBER INTEGER NOT NULL,
L_QUANTITY DECIMAL(15,2) NOT NULL,
L_EXTENDEDPRICE DECIMAL(15,2) NOT NULL,
L_DISCOUNT DECIMAL(15,2) NOT NULL,
L_TAX DECIMAL(15,2) NOT NULL,
L_RETURNFLAG CHAR(1) NOT NULL,
L_LINESTATUS CHAR(1) NOT NULL,
L_SHIPDATE DATE NOT NULL,
L_COMMITDATE DATE NOT NULL,
L_RECEIPTDATE DATE NOT NULL,
L_SHIPINSTRUCT CHAR(25) NOT NULL,
L_SHIPMODE CHAR(10) NOT NULL,
L_COMMENT VARCHAR(44) NOT NULL,
PRIMARY KEY (L_ORDERKEY,L_LINENUMBER),
CONSTRAINT FOREIGN KEY LINEITEM_FK1 (L_ORDERKEY) references orders(O_ORDERKEY),
CONSTRAINT FOREIGN KEY LINEITEM_FK2 (L_PARTKEY,L_SUPPKEY) references partsupp(PS_PARTKEY, PS_SUPPKEY));
load stats 's/tpch_stats/nation.json';
load stats 's/tpch_stats/region.json';
load stats 's/tpch_stats/part.json';
load stats 's/tpch_stats/supplier.json';
load stats 's/tpch_stats/partsupp.json';
load stats 's/tpch_stats/customer.json';
load stats 's/tpch_stats/orders.json';
load stats 's/tpch_stats/lineitem.json';
set @@session.tidb_opt_agg_push_down = 0;
/*
Q1 Pricing Summary Report
This query reports the amount of business that was billed, shipped, and returned.
The Pricing Summary Report Query provides a summary pricing report for all lineitems shipped as of a given date.
The date is within 60 - 120 days of the greatest ship date contained in the database. The query lists totals for
extended price, discounted extended price, discounted extended price plus tax, average quantity, average extended
price, and average discount. These aggregates are grouped by RETURNFLAG and LINESTATUS, and listed in
ascending order of RETURNFLAG and LINESTATUS. A count of the number of lineitems in each group is
included.
Planner enhancement: none.
*/
explain
select
l_returnflag,
l_linestatus,
sum(l_quantity) as sum_qty,
sum(l_extendedprice) as sum_base_price,
sum(l_extendedprice * (1 - l_discount)) as sum_disc_price,
sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge,
avg(l_quantity) as avg_qty,
avg(l_extendedprice) as avg_price,
avg(l_discount) as avg_disc,
count(*) as count_order
from
lineitem
where
l_shipdate <= date_sub('1998-12-01', interval 108 day)
group by
l_returnflag,
l_linestatus
order by
l_returnflag,
l_linestatus;
id count task operator info
Sort_6 2.94 root tpch.lineitem.l_returnflag:asc, tpch.lineitem.l_linestatus:asc
└─Projection_8 2.94 root tpch.lineitem.l_returnflag, tpch.lineitem.l_linestatus, 3_col_0, 3_col_1, 3_col_2, 3_col_3, 3_col_4, 3_col_5, 3_col_6, 3_col_7
└─HashAgg_14 2.94 root group by:col_13, col_14, funcs:sum(col_0), sum(col_1), sum(col_2), sum(col_3), avg(col_4, col_5), avg(col_6, col_7), avg(col_8, col_9), count(col_10), firstrow(col_11), firstrow(col_12)
└─TableReader_15 2.94 root data:HashAgg_9
└─HashAgg_9 2.94 cop group by:tpch.lineitem.l_linestatus, tpch.lineitem.l_returnflag, funcs:sum(tpch.lineitem.l_quantity), sum(tpch.lineitem.l_extendedprice), sum(mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount))), sum(mul(mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount)), plus(1, tpch.lineitem.l_tax))), avg(tpch.lineitem.l_quantity), avg(tpch.lineitem.l_extendedprice), avg(tpch.lineitem.l_discount), count(1), firstrow(tpch.lineitem.l_returnflag), firstrow(tpch.lineitem.l_linestatus)
└─Selection_13 293683189.00 cop le(tpch.lineitem.l_shipdate, 1998-08-15)
└─TableScan_12 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
/*
Q2 Minimum Cost Supplier Query
This query finds which supplier should be selected to place an order for a given part in a given region.
The Minimum Cost Supplier Query finds, in a given region, for each part of a certain type and size, the supplier who
can supply it at minimum cost. If several suppliers in that region offer the desired part type and size at the same
(minimum) cost, the query lists the parts from suppliers with the 100 highest account balances. For each supplier,
the query lists the supplier's account balance, name and nation; the part's number and manufacturer; the supplier's
address, phone number and comment information.
Planner enhancement: join reorder.
*/
explain
select
s_acctbal,
s_name,
n_name,
p_partkey,
p_mfgr,
s_address,
s_phone,
s_comment
from
part,
supplier,
partsupp,
nation,
region
where
p_partkey = ps_partkey
and s_suppkey = ps_suppkey
and p_size = 30
and p_type like '%STEEL'
and s_nationkey = n_nationkey
and n_regionkey = r_regionkey
and r_name = 'ASIA'
and ps_supplycost = (
select
min(ps_supplycost)
from
partsupp,
supplier,
nation,
region
where
p_partkey = ps_partkey
and s_suppkey = ps_suppkey
and s_nationkey = n_nationkey
and n_regionkey = r_regionkey
and r_name = 'ASIA'
)
order by
s_acctbal desc,
n_name,
s_name,
p_partkey
limit 100;
id count task operator info
Projection_36 100.00 root tpch.supplier.s_acctbal, tpch.supplier.s_name, tpch.nation.n_name, tpch.part.p_partkey, tpch.part.p_mfgr, tpch.supplier.s_address, tpch.supplier.s_phone, tpch.supplier.s_comment
└─TopN_39 100.00 root tpch.supplier.s_acctbal:desc, tpch.nation.n_name:asc, tpch.supplier.s_name:asc, tpch.part.p_partkey:asc, offset:0, count:100
└─HashRightJoin_44 155496.00 root inner join, inner:HashLeftJoin_50, equal:[eq(tpch.part.p_partkey, tpch.partsupp.ps_partkey) eq(tpch.partsupp.ps_supplycost, min(ps_supplycost))]
├─HashLeftJoin_50 155496.00 root inner join, inner:TableReader_73, equal:[eq(tpch.partsupp.ps_partkey, tpch.part.p_partkey)]
│ ├─HashRightJoin_53 8155010.44 root inner join, inner:HashRightJoin_55, equal:[eq(tpch.supplier.s_suppkey, tpch.partsupp.ps_suppkey)]
│ │ ├─HashRightJoin_55 100000.00 root inner join, inner:HashRightJoin_61, equal:[eq(tpch.nation.n_nationkey, tpch.supplier.s_nationkey)]
│ │ │ ├─HashRightJoin_61 5.00 root inner join, inner:TableReader_66, equal:[eq(tpch.region.r_regionkey, tpch.nation.n_regionkey)]
│ │ │ │ ├─TableReader_66 1.00 root data:Selection_65
│ │ │ │ │ └─Selection_65 1.00 cop eq(tpch.region.r_name, "ASIA")
│ │ │ │ │ └─TableScan_64 5.00 cop table:region, range:[-inf,+inf], keep order:false
│ │ │ │ └─TableReader_63 25.00 root data:TableScan_62
│ │ │ │ └─TableScan_62 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ │ │ └─TableReader_68 500000.00 root data:TableScan_67
│ │ │ └─TableScan_67 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
│ │ └─TableReader_70 40000000.00 root data:TableScan_69
│ │ └─TableScan_69 40000000.00 cop table:partsupp, range:[-inf,+inf], keep order:false
│ └─TableReader_73 155496.00 root data:Selection_72
│ └─Selection_72 155496.00 cop eq(tpch.part.p_size, 30), like(tpch.part.p_type, "%STEEL", 92)
│ └─TableScan_71 10000000.00 cop table:part, range:[-inf,+inf], keep order:false
└─HashAgg_76 8155010.44 root group by:tpch.partsupp.ps_partkey, funcs:min(tpch.partsupp.ps_supplycost), firstrow(tpch.partsupp.ps_partkey)
└─HashRightJoin_80 8155010.44 root inner join, inner:HashRightJoin_82, equal:[eq(tpch.supplier.s_suppkey, tpch.partsupp.ps_suppkey)]
├─HashRightJoin_82 100000.00 root inner join, inner:HashRightJoin_88, equal:[eq(tpch.nation.n_nationkey, tpch.supplier.s_nationkey)]
│ ├─HashRightJoin_88 5.00 root inner join, inner:TableReader_93, equal:[eq(tpch.region.r_regionkey, tpch.nation.n_regionkey)]
│ │ ├─TableReader_93 1.00 root data:Selection_92
│ │ │ └─Selection_92 1.00 cop eq(tpch.region.r_name, "ASIA")
│ │ │ └─TableScan_91 5.00 cop table:region, range:[-inf,+inf], keep order:false
│ │ └─TableReader_90 25.00 root data:TableScan_89
│ │ └─TableScan_89 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ └─TableReader_95 500000.00 root data:TableScan_94
│ └─TableScan_94 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
└─TableReader_97 40000000.00 root data:TableScan_96
└─TableScan_96 40000000.00 cop table:partsupp, range:[-inf,+inf], keep order:false
/*
Q3 Shipping Priority Query
This query retrieves the 10 unshipped orders with the highest value.
The Shipping Priority Query retrieves the shipping priority and potential revenue, defined as the sum of
l_extendedprice * (1-l_discount), of the orders having the largest revenue among those that had not been shipped as
of a given date. Orders are listed in decreasing order of revenue. If more than 10 unshipped orders exist, only the 10
orders with the largest revenue are listed.
planner enhancement: if group-by item have primary key, non-priamry key is useless.
*/
explain
select
l_orderkey,
sum(l_extendedprice * (1 - l_discount)) as revenue,
o_orderdate,
o_shippriority
from
customer,
orders,
lineitem
where
c_mktsegment = 'AUTOMOBILE'
and c_custkey = o_custkey
and l_orderkey = o_orderkey
and o_orderdate < '1995-03-13'
and l_shipdate > '1995-03-13'
group by
l_orderkey,
o_orderdate,
o_shippriority
order by
revenue desc,
o_orderdate
limit 10;
id count task operator info
Projection_14 10.00 root tpch.lineitem.l_orderkey, 7_col_0, tpch.orders.o_orderdate, tpch.orders.o_shippriority
└─TopN_17 10.00 root 7_col_0:desc, tpch.orders.o_orderdate:asc, offset:0, count:10
└─HashAgg_23 40227041.09 root group by:col_4, col_5, col_6, funcs:sum(col_0), firstrow(col_1), firstrow(col_2), firstrow(col_3)
└─Projection_60 91515927.49 root mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount)), tpch.orders.o_orderdate, tpch.orders.o_shippriority, tpch.lineitem.l_orderkey, tpch.lineitem.l_orderkey, tpch.orders.o_orderdate, tpch.orders.o_shippriority
└─IndexJoin_29 91515927.49 root inner join, inner:IndexLookUp_28, outer key:tpch.orders.o_orderkey, inner key:tpch.lineitem.l_orderkey
├─HashRightJoin_50 22592975.51 root inner join, inner:TableReader_56, equal:[eq(tpch.customer.c_custkey, tpch.orders.o_custkey)]
│ ├─TableReader_56 1498236.00 root data:Selection_55
│ │ └─Selection_55 1498236.00 cop eq(tpch.customer.c_mktsegment, "AUTOMOBILE")
│ │ └─TableScan_54 7500000.00 cop table:customer, range:[-inf,+inf], keep order:false
│ └─TableReader_53 36870000.00 root data:Selection_52
│ └─Selection_52 36870000.00 cop lt(tpch.orders.o_orderdate, 1995-03-13 00:00:00.000000)
│ └─TableScan_51 75000000.00 cop table:orders, range:[-inf,+inf], keep order:false
└─IndexLookUp_28 162945114.27 root
├─IndexScan_25 1.00 cop table:lineitem, index:L_ORDERKEY, L_LINENUMBER, range: decided by [tpch.orders.o_orderkey], keep order:false
└─Selection_27 162945114.27 cop gt(tpch.lineitem.l_shipdate, 1995-03-13 00:00:00.000000)
└─TableScan_26 1.00 cop table:lineitem, keep order:false
/*
Q4 Order Priority Checking Query
This query determines how well the order priority system is working and gives an assessment of customer satisfaction.
The Order Priority Checking Query counts the number of orders ordered in a given quarter of a given year in which
at least one lineitem was received by the customer later than its committed date. The query lists the count of such
orders for each order priority sorted in ascending priority order.
*/
explain
select
o_orderpriority,
count(*) as order_count
from
orders
where
o_orderdate >= '1995-01-01'
and o_orderdate < date_add('1995-01-01', interval '3' month)
and exists (
select
*
from
lineitem
where
l_orderkey = o_orderkey
and l_commitdate < l_receiptdate
)
group by
o_orderpriority
order by
o_orderpriority;
id count task operator info
Sort_10 1.00 root tpch.orders.o_orderpriority:asc
└─Projection_12 1.00 root tpch.orders.o_orderpriority, 7_col_0
└─HashAgg_15 1.00 root group by:tpch.orders.o_orderpriority, funcs:count(1), firstrow(tpch.orders.o_orderpriority)
└─IndexJoin_21 2340750.00 root semi join, inner:IndexLookUp_20, outer key:tpch.orders.o_orderkey, inner key:tpch.lineitem.l_orderkey
├─TableReader_34 2925937.50 root data:Selection_33
│ └─Selection_33 2925937.50 cop ge(tpch.orders.o_orderdate, 1995-01-01 00:00:00.000000), lt(tpch.orders.o_orderdate, 1995-04-01)
│ └─TableScan_32 75000000.00 cop table:orders, range:[-inf,+inf], keep order:false
└─IndexLookUp_20 240004648.80 root
├─IndexScan_17 1.00 cop table:lineitem, index:L_ORDERKEY, L_LINENUMBER, range: decided by [tpch.orders.o_orderkey], keep order:false
└─Selection_19 240004648.80 cop lt(tpch.lineitem.l_commitdate, tpch.lineitem.l_receiptdate)
└─TableScan_18 1.00 cop table:lineitem, keep order:false
/*
Q5 Local Supplier Volume Query
This query lists the revenue volume done through local suppliers.
The Local Supplier Volume Query lists for each nation in a region the revenue volume that resulted from lineitem
transactions in which the customer ordering parts and the supplier filling them were both within that nation. The
query is run in order to determine whether to institute local distribution centers in a given region. The query considers
only parts ordered in a given year. The query displays the nations and revenue volume in descending order by
revenue. Revenue volume for all qualifying lineitems in a particular nation is defined as sum(l_extendedprice * (1 -
l_discount)).
Planner enhancement: join reorder.
*/
explain
select
n_name,
sum(l_extendedprice * (1 - l_discount)) as revenue
from
customer,
orders,
lineitem,
supplier,
nation,
region
where
c_custkey = o_custkey
and l_orderkey = o_orderkey
and l_suppkey = s_suppkey
and c_nationkey = s_nationkey
and s_nationkey = n_nationkey
and n_regionkey = r_regionkey
and r_name = 'MIDDLE EAST'
and o_orderdate >= '1994-01-01'
and o_orderdate < date_add('1994-01-01', interval '1' year)
group by
n_name
order by
revenue desc;
id count task operator info
Sort_23 5.00 root revenue:desc
└─Projection_25 5.00 root tpch.nation.n_name, 13_col_0
└─HashAgg_28 5.00 root group by:col_2, funcs:sum(col_0), firstrow(col_1)
└─Projection_66 11822812.50 root mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount)), tpch.nation.n_name, tpch.nation.n_name
└─IndexJoin_31 11822812.50 root inner join, inner:TableReader_30, outer key:tpch.orders.o_custkey, inner key:tpch.customer.c_custkey, other cond:eq(tpch.supplier.s_nationkey, tpch.customer.c_nationkey)
├─IndexJoin_38 11822812.50 root inner join, inner:TableReader_37, outer key:tpch.lineitem.l_orderkey, inner key:tpch.orders.o_orderkey
│ ├─HashRightJoin_42 61163763.01 root inner join, inner:HashRightJoin_44, equal:[eq(tpch.supplier.s_suppkey, tpch.lineitem.l_suppkey)]
│ │ ├─HashRightJoin_44 100000.00 root inner join, inner:HashRightJoin_50, equal:[eq(tpch.nation.n_nationkey, tpch.supplier.s_nationkey)]
│ │ │ ├─HashRightJoin_50 5.00 root inner join, inner:TableReader_55, equal:[eq(tpch.region.r_regionkey, tpch.nation.n_regionkey)]
│ │ │ │ ├─TableReader_55 1.00 root data:Selection_54
│ │ │ │ │ └─Selection_54 1.00 cop eq(tpch.region.r_name, "MIDDLE EAST")
│ │ │ │ │ └─TableScan_53 5.00 cop table:region, range:[-inf,+inf], keep order:false
│ │ │ │ └─TableReader_52 25.00 root data:TableScan_51
│ │ │ │ └─TableScan_51 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ │ │ └─TableReader_57 500000.00 root data:TableScan_56
│ │ │ └─TableScan_56 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
│ │ └─TableReader_59 300005811.00 root data:TableScan_58
│ │ └─TableScan_58 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
│ └─TableReader_37 11822812.50 root data:Selection_36
│ └─Selection_36 11822812.50 cop ge(tpch.orders.o_orderdate, 1994-01-01 00:00:00.000000), lt(tpch.orders.o_orderdate, 1995-01-01)
│ └─TableScan_35 1.00 cop table:orders, range: decided by [tpch.lineitem.l_orderkey], keep order:false
└─TableReader_30 1.00 root data:TableScan_29
└─TableScan_29 1.00 cop table:customer, range: decided by [tpch.supplier.s_nationkey tpch.orders.o_custkey], keep order:false
/*
Q6 Forecasting Revenue Change Query
This query quantifies the amount of revenue increase that would have resulted from eliminating certain companywide
discounts in a given percentage range in a given year. Asking this type of "what if" query can be used to look
for ways to increase revenues.
The Forecasting Revenue Change Query considers all the lineitems shipped in a given year with discounts between
DISCOUNT-0.01 and DISCOUNT+0.01. The query lists the amount by which the total revenue would have
increased if these discounts had been eliminated for lineitems with l_quantity less than quantity. Note that the
potential revenue increase is equal to the sum of [l_extendedprice * l_discount] for all lineitems with discounts and
quantities in the qualifying range.
*/
explain
select
sum(l_extendedprice * l_discount) as revenue
from
lineitem
where
l_shipdate >= '1994-01-01'
and l_shipdate < date_add('1994-01-01', interval '1' year)
and l_discount between 0.06 - 0.01 and 0.06 + 0.01
and l_quantity < 24;
id count task operator info
StreamAgg_20 1.00 root funcs:sum(col_0)
└─TableReader_21 1.00 root data:StreamAgg_9
└─StreamAgg_9 1.00 cop funcs:sum(mul(tpch.lineitem.l_extendedprice, tpch.lineitem.l_discount))
└─Selection_19 3713857.91 cop ge(tpch.lineitem.l_discount, 0.05), ge(tpch.lineitem.l_shipdate, 1994-01-01 00:00:00.000000), le(tpch.lineitem.l_discount, 0.07), lt(tpch.lineitem.l_quantity, 24), lt(tpch.lineitem.l_shipdate, 1995-01-01)
└─TableScan_18 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
/*
Q7 Volume Shipping Query
This query determines the value of goods shipped between certain nations to help in the re-negotiation of shipping
contracts.
The Volume Shipping Query finds, for two given nations, the gross discounted revenues derived from lineitems in
which parts were shipped from a supplier in either nation to a customer in the other nation during 1995 and 1996.
The query lists the supplier nation, the customer nation, the year, and the revenue from shipments that took place in
that year. The query orders the answer by Supplier nation, Customer nation, and year (all ascending).
Planner enahancement: join reorder.
*/
explain
select
supp_nation,
cust_nation,
l_year,
sum(volume) as revenue
from
(
select
n1.n_name as supp_nation,
n2.n_name as cust_nation,
extract(year from l_shipdate) as l_year,
l_extendedprice * (1 - l_discount) as volume
from
supplier,
lineitem,
orders,
customer,
nation n1,
nation n2
where
s_suppkey = l_suppkey
and o_orderkey = l_orderkey
and c_custkey = o_custkey
and s_nationkey = n1.n_nationkey
and c_nationkey = n2.n_nationkey
and (
(n1.n_name = 'JAPAN' and n2.n_name = 'INDIA')
or (n1.n_name = 'INDIA' and n2.n_name = 'JAPAN')
)
and l_shipdate between '1995-01-01' and '1996-12-31'
) as shipping
group by
supp_nation,
cust_nation,
l_year
order by
supp_nation,
cust_nation,
l_year;
id count task operator info
Sort_22 768.91 root shipping.supp_nation:asc, shipping.cust_nation:asc, shipping.l_year:asc
└─Projection_24 768.91 root shipping.supp_nation, shipping.cust_nation, shipping.l_year, 14_col_0
└─HashAgg_27 768.91 root group by:shipping.cust_nation, shipping.l_year, shipping.supp_nation, funcs:sum(shipping.volume), firstrow(shipping.supp_nation), firstrow(shipping.cust_nation), firstrow(shipping.l_year)
└─Projection_28 1957240.42 root n1.n_name, n2.n_name, extract("YEAR", tpch.lineitem.l_shipdate), mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount))
└─HashLeftJoin_33 1957240.42 root inner join, inner:TableReader_68, equal:[eq(tpch.customer.c_nationkey, n2.n_nationkey)], other cond:or(and(eq(n1.n_name, "JAPAN"), eq(n2.n_name, "INDIA")), and(eq(n1.n_name, "INDIA"), eq(n2.n_name, "JAPAN")))
├─IndexJoin_37 24465505.20 root inner join, inner:TableReader_36, outer key:tpch.orders.o_custkey, inner key:tpch.customer.c_custkey
│ ├─IndexJoin_43 24465505.20 root inner join, inner:TableReader_42, outer key:tpch.lineitem.l_orderkey, inner key:tpch.orders.o_orderkey
│ │ ├─HashRightJoin_47 24465505.20 root inner join, inner:HashRightJoin_53, equal:[eq(tpch.supplier.s_suppkey, tpch.lineitem.l_suppkey)]
│ │ │ ├─HashRightJoin_53 40000.00 root inner join, inner:TableReader_58, equal:[eq(n1.n_nationkey, tpch.supplier.s_nationkey)]
│ │ │ │ ├─TableReader_58 2.00 root data:Selection_57
│ │ │ │ │ └─Selection_57 2.00 cop or(eq(n1.n_name, "JAPAN"), eq(n1.n_name, "INDIA"))
│ │ │ │ │ └─TableScan_56 25.00 cop table:n1, range:[-inf,+inf], keep order:false
│ │ │ │ └─TableReader_55 500000.00 root data:TableScan_54
│ │ │ │ └─TableScan_54 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
│ │ │ └─TableReader_61 91321768.29 root data:Selection_60
│ │ │ └─Selection_60 91321768.29 cop ge(tpch.lineitem.l_shipdate, 1995-01-01 00:00:00.000000), le(tpch.lineitem.l_shipdate, 1996-12-31 00:00:00.000000)
│ │ │ └─TableScan_59 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
│ │ └─TableReader_42 1.00 root data:TableScan_41
│ │ └─TableScan_41 1.00 cop table:orders, range: decided by [tpch.lineitem.l_orderkey], keep order:false
│ └─TableReader_36 1.00 root data:TableScan_35
│ └─TableScan_35 1.00 cop table:customer, range: decided by [tpch.orders.o_custkey], keep order:false
└─TableReader_68 2.00 root data:Selection_67
└─Selection_67 2.00 cop or(eq(n2.n_name, "INDIA"), eq(n2.n_name, "JAPAN"))
└─TableScan_66 25.00 cop table:n2, range:[-inf,+inf], keep order:false
/*
Q8 National Market Share Query
This query determines how the market share of a given nation within a given region has changed over two years for
a given part type.
The market share for a given nation within a given region is defined as the fraction of the revenue, the sum of
[l_extendedprice * (1-l_discount)], from the products of a specified type in that region that was supplied by suppliers
from the given nation. The query determines this for the years 1995 and 1996 presented in this order.
Planner enhancement: join reorder.
*/
explain
select
o_year,
sum(case
when nation = 'INDIA' then volume
else 0
end) / sum(volume) as mkt_share
from
(
select
extract(year from o_orderdate) as o_year,
l_extendedprice * (1 - l_discount) as volume,
n2.n_name as nation
from
part,
supplier,
lineitem,
orders,
customer,
nation n1,
nation n2,
region
where
p_partkey = l_partkey
and s_suppkey = l_suppkey
and l_orderkey = o_orderkey
and o_custkey = c_custkey
and c_nationkey = n1.n_nationkey
and n1.n_regionkey = r_regionkey
and r_name = 'ASIA'
and s_nationkey = n2.n_nationkey
and o_orderdate between '1995-01-01' and '1996-12-31'
and p_type = 'SMALL PLATED COPPER'
) as all_nations
group by
o_year
order by
o_year;
id count task operator info
Sort_29 718.01 root all_nations.o_year:asc
└─Projection_31 718.01 root all_nations.o_year, div(18_col_0, 18_col_1)
└─HashAgg_34 718.01 root group by:col_3, funcs:sum(col_0), sum(col_1), firstrow(col_2)
└─Projection_89 562348.12 root case(eq(all_nations.nation, "INDIA"), all_nations.volume, 0), all_nations.volume, all_nations.o_year, all_nations.o_year
└─Projection_35 562348.12 root extract("YEAR", tpch.orders.o_orderdate), mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount)), n2.n_name
└─HashLeftJoin_39 562348.12 root inner join, inner:TableReader_87, equal:[eq(tpch.supplier.s_nationkey, n2.n_nationkey)]
├─IndexJoin_43 562348.12 root inner join, inner:TableReader_42, outer key:tpch.lineitem.l_suppkey, inner key:tpch.supplier.s_suppkey
│ ├─HashLeftJoin_50 562348.12 root inner join, inner:TableReader_83, equal:[eq(tpch.lineitem.l_partkey, tpch.part.p_partkey)]
│ │ ├─IndexJoin_56 90661378.61 root inner join, inner:IndexLookUp_55, outer key:tpch.orders.o_orderkey, inner key:tpch.lineitem.l_orderkey
│ │ │ ├─HashRightJoin_60 22382008.93 root inner join, inner:HashRightJoin_62, equal:[eq(tpch.customer.c_custkey, tpch.orders.o_custkey)]
│ │ │ │ ├─HashRightJoin_62 1500000.00 root inner join, inner:HashRightJoin_68, equal:[eq(n1.n_nationkey, tpch.customer.c_nationkey)]
│ │ │ │ │ ├─HashRightJoin_68 5.00 root inner join, inner:TableReader_73, equal:[eq(tpch.region.r_regionkey, n1.n_regionkey)]
│ │ │ │ │ │ ├─TableReader_73 1.00 root data:Selection_72
│ │ │ │ │ │ │ └─Selection_72 1.00 cop eq(tpch.region.r_name, "ASIA")
│ │ │ │ │ │ │ └─TableScan_71 5.00 cop table:region, range:[-inf,+inf], keep order:false
│ │ │ │ │ │ └─TableReader_70 25.00 root data:TableScan_69
│ │ │ │ │ │ └─TableScan_69 25.00 cop table:n1, range:[-inf,+inf], keep order:false
│ │ │ │ │ └─TableReader_75 7500000.00 root data:TableScan_74
│ │ │ │ │ └─TableScan_74 7500000.00 cop table:customer, range:[-inf,+inf], keep order:false
│ │ │ │ └─TableReader_78 22382008.93 root data:Selection_77
│ │ │ │ └─Selection_77 22382008.93 cop ge(tpch.orders.o_orderdate, 1995-01-01 00:00:00.000000), le(tpch.orders.o_orderdate, 1996-12-31 00:00:00.000000)
│ │ │ │ └─TableScan_76 75000000.00 cop table:orders, range:[-inf,+inf], keep order:false
│ │ │ └─IndexLookUp_55 1.00 root
│ │ │ ├─IndexScan_53 1.00 cop table:lineitem, index:L_ORDERKEY, L_LINENUMBER, range: decided by [tpch.orders.o_orderkey], keep order:false
│ │ │ └─TableScan_54 1.00 cop table:lineitem, keep order:false
│ │ └─TableReader_83 61674.00 root data:Selection_82
│ │ └─Selection_82 61674.00 cop eq(tpch.part.p_type, "SMALL PLATED COPPER")
│ │ └─TableScan_81 10000000.00 cop table:part, range:[-inf,+inf], keep order:false
│ └─TableReader_42 1.00 root data:TableScan_41
│ └─TableScan_41 1.00 cop table:supplier, range: decided by [tpch.lineitem.l_suppkey], keep order:false
└─TableReader_87 25.00 root data:TableScan_86
└─TableScan_86 25.00 cop table:n2, range:[-inf,+inf], keep order:false
/*
Q9 Product Type Profit Measure Query
This query determines how much profit is made on a given line of parts, broken out by supplier nation and year.
The Product Type Profit Measure Query finds, for each nation and each year, the profit for all parts ordered in that
year that contain a specified substring in their names and that were filled by a supplier in that nation. The profit is
defined as the sum of [(l_extendedprice*(1-l_discount)) - (ps_supplycost * l_quantity)] for all lineitems describing
parts in the specified line. The query lists the nations in ascending alphabetical order and, for each nation, the year
and profit in descending order by year (most recent first).
Planner enhancement: join reorder.
*/
explain
select
nation,
o_year,
sum(amount) as sum_profit
from
(
select
n_name as nation,
extract(year from o_orderdate) as o_year,
l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount
from
part,
supplier,
lineitem,
partsupp,
orders,
nation
where
s_suppkey = l_suppkey
and ps_suppkey = l_suppkey
and ps_partkey = l_partkey
and p_partkey = l_partkey
and o_orderkey = l_orderkey
and s_nationkey = n_nationkey
and p_name like '%dim%'
) as profit
group by
nation,
o_year
order by
nation,
o_year desc;
id count task operator info
Sort_25 2406.00 root profit.nation:asc, profit.o_year:desc
└─Projection_27 2406.00 root profit.nation, profit.o_year, 14_col_0
└─HashAgg_30 2406.00 root group by:profit.nation, profit.o_year, funcs:sum(profit.amount), firstrow(profit.nation), firstrow(profit.o_year)
└─Projection_31 971049283.51 root tpch.nation.n_name, extract("YEAR", tpch.orders.o_orderdate), minus(mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount)), mul(tpch.partsupp.ps_supplycost, tpch.lineitem.l_quantity))
└─IndexJoin_35 971049283.51 root inner join, inner:IndexLookUp_34, outer key:tpch.lineitem.l_suppkey, tpch.lineitem.l_partkey, inner key:tpch.partsupp.ps_suppkey, tpch.partsupp.ps_partkey
├─IndexJoin_41 241379546.70 root inner join, inner:TableReader_40, outer key:tpch.lineitem.l_orderkey, inner key:tpch.orders.o_orderkey
│ ├─HashLeftJoin_52 241379546.70 root inner join, inner:TableReader_69, equal:[eq(tpch.lineitem.l_partkey, tpch.part.p_partkey)]
│ │ ├─HashRightJoin_55 300005811.00 root inner join, inner:HashRightJoin_60, equal:[eq(tpch.supplier.s_suppkey, tpch.lineitem.l_suppkey)]
│ │ │ ├─HashRightJoin_60 500000.00 root inner join, inner:TableReader_64, equal:[eq(tpch.nation.n_nationkey, tpch.supplier.s_nationkey)]
│ │ │ │ ├─TableReader_64 25.00 root data:TableScan_63
│ │ │ │ │ └─TableScan_63 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ │ │ │ └─TableReader_62 500000.00 root data:TableScan_61
│ │ │ │ └─TableScan_61 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
│ │ │ └─TableReader_66 300005811.00 root data:TableScan_65
│ │ │ └─TableScan_65 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
│ │ └─TableReader_69 8000000.00 root data:Selection_68
│ │ └─Selection_68 8000000.00 cop like(tpch.part.p_name, "%dim%", 92)
│ │ └─TableScan_67 10000000.00 cop table:part, range:[-inf,+inf], keep order:false
│ └─TableReader_40 1.00 root data:TableScan_39
│ └─TableScan_39 1.00 cop table:orders, range: decided by [tpch.lineitem.l_orderkey], keep order:false
└─IndexLookUp_34 1.00 root
├─IndexScan_32 1.00 cop table:partsupp, index:PS_PARTKEY, PS_SUPPKEY, range: decided by [tpch.lineitem.l_suppkey tpch.lineitem.l_partkey], keep order:false
└─TableScan_33 1.00 cop table:partsupp, keep order:false
/*
Q10 Returned Item Reporting Query
The query identifies customers who might be having problems with the parts that are shipped to them.
The Returned Item Reporting Query finds the top 20 customers, in terms of their effect on lost revenue for a given
quarter, who have returned parts. The query considers only parts that were ordered in the specified quarter. The
query lists the customer's name, address, nation, phone number, account balance, comment information and revenue
lost. The customers are listed in descending order of lost revenue. Revenue lost is defined as
sum(l_extendedprice*(1-l_discount)) for all qualifying lineitems.
Planner enhancement: join reorder, if group-by item have primary key, non-priamry key is useless.
*/
explain
select
c_custkey,
c_name,
sum(l_extendedprice * (1 - l_discount)) as revenue,
c_acctbal,
n_name,
c_address,
c_phone,
c_comment
from
customer,
orders,
lineitem,
nation
where
c_custkey = o_custkey
and l_orderkey = o_orderkey
and o_orderdate >= '1993-08-01'
and o_orderdate < date_add('1993-08-01', interval '3' month)
and l_returnflag = 'R'
and c_nationkey = n_nationkey
group by
c_custkey,
c_name,
c_acctbal,
c_phone,
n_name,
c_address,
c_comment
order by
revenue desc
limit 20;
id count task operator info
Projection_17 20.00 root tpch.customer.c_custkey, tpch.customer.c_name, 9_col_0, tpch.customer.c_acctbal, tpch.nation.n_name, tpch.customer.c_address, tpch.customer.c_phone, tpch.customer.c_comment
└─TopN_20 20.00 root 9_col_0:desc, offset:0, count:20
└─HashAgg_26 3017307.69 root group by:col_10, col_11, col_12, col_13, col_14, col_8, col_9, funcs:sum(col_0), firstrow(col_1), firstrow(col_2), firstrow(col_3), firstrow(col_4), firstrow(col_5), firstrow(col_6), firstrow(col_7)
└─Projection_52 12222016.17 root mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount)), tpch.customer.c_custkey, tpch.customer.c_name, tpch.customer.c_address, tpch.customer.c_phone, tpch.customer.c_acctbal, tpch.customer.c_comment, tpch.nation.n_name, tpch.customer.c_custkey, tpch.customer.c_name, tpch.customer.c_acctbal, tpch.customer.c_phone, tpch.nation.n_name, tpch.customer.c_address, tpch.customer.c_comment
└─IndexJoin_32 12222016.17 root inner join, inner:IndexLookUp_31, outer key:tpch.orders.o_orderkey, inner key:tpch.lineitem.l_orderkey
├─HashLeftJoin_35 3017307.69 root inner join, inner:TableReader_48, equal:[eq(tpch.customer.c_custkey, tpch.orders.o_custkey)]
│ ├─HashRightJoin_41 7500000.00 root inner join, inner:TableReader_45, equal:[eq(tpch.nation.n_nationkey, tpch.customer.c_nationkey)]
│ │ ├─TableReader_45 25.00 root data:TableScan_44
│ │ │ └─TableScan_44 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ │ └─TableReader_43 7500000.00 root data:TableScan_42
│ │ └─TableScan_42 7500000.00 cop table:customer, range:[-inf,+inf], keep order:false
│ └─TableReader_48 3017307.69 root data:Selection_47
│ └─Selection_47 3017307.69 cop ge(tpch.orders.o_orderdate, 1993-08-01 00:00:00.000000), lt(tpch.orders.o_orderdate, 1993-11-01)
│ └─TableScan_46 75000000.00 cop table:orders, range:[-inf,+inf], keep order:false
└─IndexLookUp_31 73916005.00 root
├─IndexScan_28 1.00 cop table:lineitem, index:L_ORDERKEY, L_LINENUMBER, range: decided by [tpch.orders.o_orderkey], keep order:false
└─Selection_30 73916005.00 cop eq(tpch.lineitem.l_returnflag, "R")
└─TableScan_29 1.00 cop table:lineitem, keep order:false
/*
Q11 Important Stock Identification Query
This query finds the most important subset of suppliers' stock in a given nation.
The Important Stock Identification Query finds, from scanning the available stock of suppliers in a given nation, all
the parts that represent a significant percentage of the total value of all available parts. The query displays the part
number and the value of those parts in descending order of value.
*/
explain
select
ps_partkey,
sum(ps_supplycost * ps_availqty) as value
from
partsupp,
supplier,
nation
where
ps_suppkey = s_suppkey
and s_nationkey = n_nationkey
and n_name = 'MOZAMBIQUE'
group by
ps_partkey having
sum(ps_supplycost * ps_availqty) > (
select
sum(ps_supplycost * ps_availqty) * 0.0001000000
from
partsupp,
supplier,
nation
where
ps_suppkey = s_suppkey
and s_nationkey = n_nationkey
and n_name = 'MOZAMBIQUE'
)
order by
value desc;
id count task operator info
Projection_50 1304801.67 root tpch.partsupp.ps_partkey, value
└─Sort_51 1304801.67 root value:desc
└─Selection_53 1304801.67 root gt(sel_agg_4, NULL)
└─HashAgg_56 1631002.09 root group by:col_2, funcs:sum(col_0), firstrow(col_1)
└─Projection_75 1631002.09 root mul(tpch.partsupp.ps_supplycost, cast(tpch.partsupp.ps_availqty)), tpch.partsupp.ps_partkey, tpch.partsupp.ps_partkey
└─HashRightJoin_60 1631002.09 root inner join, inner:HashRightJoin_66, equal:[eq(tpch.supplier.s_suppkey, tpch.partsupp.ps_suppkey)]
├─HashRightJoin_66 20000.00 root inner join, inner:TableReader_71, equal:[eq(tpch.nation.n_nationkey, tpch.supplier.s_nationkey)]
│ ├─TableReader_71 1.00 root data:Selection_70
│ │ └─Selection_70 1.00 cop eq(tpch.nation.n_name, "MOZAMBIQUE")
│ │ └─TableScan_69 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ └─TableReader_68 500000.00 root data:TableScan_67
│ └─TableScan_67 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
└─TableReader_73 40000000.00 root data:TableScan_72
└─TableScan_72 40000000.00 cop table:partsupp, range:[-inf,+inf], keep order:false
/*
Q12 Shipping Modes and Order Priority Query
This query determines whether selecting less expensive modes of shipping is negatively affecting the critical-priority
orders by causing more parts to be received by customers after the committed date.
The Shipping Modes and Order Priority Query counts, by ship mode, for lineitems actually received by customers in
a given year, the number of lineitems belonging to orders for which the l_receiptdate exceeds the l_commitdate for
two different specified ship modes. Only lineitems that were actually shipped before the l_commitdate are considered.
The late lineitems are partitioned into two groups, those with priority URGENT or HIGH, and those with a
priority other than URGENT or HIGH.
*/
explain
select
l_shipmode,
sum(case
when o_orderpriority = '1-URGENT'
or o_orderpriority = '2-HIGH'
then 1
else 0
end) as high_line_count,
sum(case
when o_orderpriority <> '1-URGENT'
and o_orderpriority <> '2-HIGH'
then 1
else 0
end) as low_line_count
from
orders,
lineitem
where
o_orderkey = l_orderkey
and l_shipmode in ('RAIL', 'FOB')
and l_commitdate < l_receiptdate
and l_shipdate < l_commitdate
and l_receiptdate >= '1997-01-01'
and l_receiptdate < date_add('1997-01-01', interval '1' year)
group by
l_shipmode
order by
l_shipmode;
id count task operator info
Sort_9 1.00 root tpch.lineitem.l_shipmode:asc
└─Projection_11 1.00 root tpch.lineitem.l_shipmode, 5_col_0, 5_col_1
└─HashAgg_14 1.00 root group by:col_3, funcs:sum(col_0), sum(col_1), firstrow(col_2)
└─Projection_40 10023369.01 root cast(case(or(eq(tpch.orders.o_orderpriority, "1-URGENT"), eq(tpch.orders.o_orderpriority, "2-HIGH")), 1, 0)), cast(case(and(ne(tpch.orders.o_orderpriority, "1-URGENT"), ne(tpch.orders.o_orderpriority, "2-HIGH")), 1, 0)), tpch.lineitem.l_shipmode, tpch.lineitem.l_shipmode
└─IndexJoin_18 10023369.01 root inner join, inner:TableReader_17, outer key:tpch.lineitem.l_orderkey, inner key:tpch.orders.o_orderkey
├─TableReader_36 10023369.01 root data:Selection_35
│ └─Selection_35 10023369.01 cop ge(tpch.lineitem.l_receiptdate, 1997-01-01 00:00:00.000000), in(tpch.lineitem.l_shipmode, "RAIL", "FOB"), lt(tpch.lineitem.l_commitdate, tpch.lineitem.l_receiptdate), lt(tpch.lineitem.l_receiptdate, 1998-01-01), lt(tpch.lineitem.l_shipdate, tpch.lineitem.l_commitdate)
│ └─TableScan_34 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
└─TableReader_17 1.00 root data:TableScan_16
└─TableScan_16 1.00 cop table:orders, range: decided by [tpch.lineitem.l_orderkey], keep order:false
/*
Q13 Customer Distribution Query
This query seeks relationships between customers and the size of their orders.
This query determines the distribution of customers by the number of orders they have made, including customers
who have no record of orders, past or present. It counts and reports how many customers have no orders, how many
have 1, 2, 3, etc. A check is made to ensure that the orders counted do not fall into one of several special categories
of orders. Special categories are identified in the order comment column by looking for a particular pattern.
*/
explain
select
c_count,
count(*) as custdist
from
(
select
c_custkey,
count(o_orderkey) as c_count
from
customer left outer join orders on
c_custkey = o_custkey
and o_comment not like '%pending%deposits%'
group by
c_custkey
) c_orders
group by
c_count
order by
custdist desc,
c_count desc;
id count task operator info
Sort_9 7500000.00 root custdist:desc, c_orders.c_count:desc
└─Projection_11 7500000.00 root c_count, 6_col_0
└─HashAgg_14 7500000.00 root group by:c_count, funcs:count(1), firstrow(c_count)
└─HashAgg_17 7500000.00 root group by:tpch.customer.c_custkey, funcs:count(tpch.orders.o_orderkey)
└─HashLeftJoin_20 60000000.00 root left outer join, inner:TableReader_25, equal:[eq(tpch.customer.c_custkey, tpch.orders.o_custkey)]
├─TableReader_22 7500000.00 root data:TableScan_21
│ └─TableScan_21 7500000.00 cop table:customer, range:[-inf,+inf], keep order:false
└─TableReader_25 60000000.00 root data:Selection_24
└─Selection_24 60000000.00 cop not(like(tpch.orders.o_comment, "%pending%deposits%", 92))
└─TableScan_23 75000000.00 cop table:orders, range:[-inf,+inf], keep order:false
/*
Q14 Promotion Effect Query
This query monitors the market response to a promotion such as TV advertisements or a special campaign.
The Promotion Effect Query determines what percentage of the revenue in a given year and month was derived from
promotional parts. The query considers only parts actually shipped in that month and gives the percentage. Revenue
is defined as (l_extendedprice * (1-l_discount)).
*/
explain
select
100.00 * sum(case
when p_type like 'PROMO%'
then l_extendedprice * (1 - l_discount)
else 0
end) / sum(l_extendedprice * (1 - l_discount)) as promo_revenue
from
lineitem,
part
where
l_partkey = p_partkey
and l_shipdate >= '1996-12-01'
and l_shipdate < date_add('1996-12-01', interval '1' month);
id count task operator info
Projection_8 1.00 root div(mul(100.00, 5_col_0), 5_col_1)
└─StreamAgg_13 1.00 root funcs:sum(col_0), sum(col_1)
└─Projection_29 4121984.49 root case(like(tpch.part.p_type, "PROMO%", 92), mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount)), 0), mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount))
└─IndexJoin_26 4121984.49 root inner join, inner:TableReader_25, outer key:tpch.lineitem.l_partkey, inner key:tpch.part.p_partkey
├─TableReader_21 4121984.49 root data:Selection_20
│ └─Selection_20 4121984.49 cop ge(tpch.lineitem.l_shipdate, 1996-12-01 00:00:00.000000), lt(tpch.lineitem.l_shipdate, 1997-01-01)
│ └─TableScan_19 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
└─TableReader_25 1.00 root data:TableScan_24
└─TableScan_24 1.00 cop table:part, range: decided by [tpch.lineitem.l_partkey], keep order:false
/*
Q15 Top Supplier Query
This query determines the top supplier so it can be rewarded, given more business, or identified for special recognition.
The Top Supplier Query finds the supplier who contributed the most to the overall revenue for parts shipped during
a given quarter of a given year. In case of a tie, the query lists all suppliers whose contribution was equal to the
maximum, presented in supplier number order.
Planner enhancement: support view.
create view revenue0 (supplier_no, total_revenue) as
select
l_suppkey,
sum(l_extendedprice * (1 - l_discount))
from
lineitem
where
l_shipdate >= '1997-07-01'
and l_shipdate < date_add('1997-07-01', interval '3' month)
group by
l_suppkey
select
s_suppkey,
s_name,
s_address,
s_phone,
total_revenue
from
supplier,
revenue0
where
s_suppkey = supplier_no
and total_revenue = (
select
max(total_revenue)
from
revenue0
)
order by
s_suppkey
drop view revenue0
*/
/*
Q16 Parts/Supplier Relationship Query
This query finds out how many suppliers can supply parts with given attributes. It might be used, for example, to
determine whether there is a sufficient number of suppliers for heavily ordered parts.
The Parts/Supplier Relationship Query counts the number of suppliers who can supply parts that satisfy a particular
customer's requirements. The customer is interested in parts of eight different sizes as long as they are not of a given
type, not of a given brand, and not from a supplier who has had complaints registered at the Better Business Bureau.
Results must be presented in descending count and ascending brand, type, and size.
*/
explain
select
p_brand,
p_type,
p_size,
count(distinct ps_suppkey) as supplier_cnt
from
partsupp,
part
where
p_partkey = ps_partkey
and p_brand <> 'Brand#34'
and p_type not like 'LARGE BRUSHED%'
and p_size in (48, 19, 12, 4, 41, 7, 21, 39)
and ps_suppkey not in (
select
s_suppkey
from
supplier
where
s_comment like '%Customer%Complaints%'
)
group by
p_brand,
p_type,
p_size
order by
supplier_cnt desc,
p_brand,
p_type,
p_size;
id count task operator info
Sort_13 3863988.24 root supplier_cnt:desc, tpch.part.p_brand:asc, tpch.part.p_type:asc, tpch.part.p_size:asc
└─Projection_15 3863988.24 root tpch.part.p_brand, tpch.part.p_type, tpch.part.p_size, 9_col_0
└─HashAgg_18 3863988.24 root group by:tpch.part.p_brand, tpch.part.p_size, tpch.part.p_type, funcs:count(distinct tpch.partsupp.ps_suppkey), firstrow(tpch.part.p_brand), firstrow(tpch.part.p_type), firstrow(tpch.part.p_size)
└─HashLeftJoin_23 3863988.24 root anti semi join, inner:TableReader_46, equal:[eq(tpch.partsupp.ps_suppkey, tpch.supplier.s_suppkey)]
├─IndexJoin_27 4829985.30 root inner join, inner:IndexReader_26, outer key:tpch.part.p_partkey, inner key:tpch.partsupp.ps_partkey
│ ├─TableReader_41 1200618.43 root data:Selection_40
│ │ └─Selection_40 1200618.43 cop in(tpch.part.p_size, 48, 19, 12, 4, 41, 7, 21, 39), ne(tpch.part.p_brand, "Brand#34"), not(like(tpch.part.p_type, "LARGE BRUSHED%", 92))
│ │ └─TableScan_39 10000000.00 cop table:part, range:[-inf,+inf], keep order:false
│ └─IndexReader_26 1.00 root index:IndexScan_25
│ └─IndexScan_25 1.00 cop table:partsupp, index:PS_PARTKEY, PS_SUPPKEY, range: decided by [tpch.part.p_partkey], keep order:false
└─TableReader_46 400000.00 root data:Selection_45
└─Selection_45 400000.00 cop like(tpch.supplier.s_comment, "%Customer%Complaints%", 92)
└─TableScan_44 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
/*
Q17 Small-Quantity-Order Revenue Query
This query determines how much average yearly revenue would be lost if orders were no longer filled for small
quantities of certain parts. This may reduce overhead expenses by concentrating sales on larger shipments.
The Small-Quantity-Order Revenue Query considers parts of a given brand and with a given container type and
determines the average lineitem quantity of such parts ordered for all orders (past and pending) in the 7-year database.
What would be the average yearly gross (undiscounted) loss in revenue if orders for these parts with a quantity
of less than 20% of this average were no longer taken?
Planner enahancement: aggregation pull up through join.
*/
explain
select
sum(l_extendedprice) / 7.0 as avg_yearly
from
lineitem,
part
where
p_partkey = l_partkey
and p_brand = 'Brand#44'
and p_container = 'WRAP PKG'
and l_quantity < (
select
0.2 * avg(l_quantity)
from
lineitem
where
l_partkey = p_partkey
);
id count task operator info
Projection_16 1.00 root div(11_col_0, 7.0)
└─StreamAgg_21 1.00 root funcs:sum(tpch.lineitem.l_extendedprice)
└─Projection_44 293773.83 root tpch.lineitem.l_partkey, tpch.lineitem.l_quantity, tpch.lineitem.l_extendedprice, tpch.part.p_partkey, tpch.part.p_brand, tpch.part.p_container, mul(0.2, 7_col_0)
└─HashRightJoin_46 293773.83 root inner join, inner:HashRightJoin_30, equal:[eq(tpch.part.p_partkey, tpch.lineitem.l_partkey)], other cond:lt(tpch.lineitem.l_quantity, mul(0.2, 7_col_0))
├─HashRightJoin_30 293773.83 root inner join, inner:TableReader_35, equal:[eq(tpch.part.p_partkey, tpch.lineitem.l_partkey)]
│ ├─TableReader_35 9736.49 root data:Selection_34
│ │ └─Selection_34 9736.49 cop eq(tpch.part.p_brand, "Brand#44"), eq(tpch.part.p_container, "WRAP PKG")
│ │ └─TableScan_33 10000000.00 cop table:part, range:[-inf,+inf], keep order:false
│ └─TableReader_32 300005811.00 root data:TableScan_31
│ └─TableScan_31 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
└─HashAgg_40 9943040.00 root group by:col_3, funcs:avg(col_0, col_1), firstrow(col_2)
└─TableReader_41 9943040.00 root data:HashAgg_36
└─HashAgg_36 9943040.00 cop group by:tpch.lineitem.l_partkey, funcs:avg(tpch.lineitem.l_quantity), firstrow(tpch.lineitem.l_partkey)
└─TableScan_39 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
/*
Q18 Large Volume Customer Query
The Large Volume Customer Query ranks customers based on their having placed a large quantity order. Large
quantity orders are defined as those orders whose total quantity is above a certain level.
The Large Volume Customer Query finds a list of the top 100 customers who have ever placed large quantity orders.
The query lists the customer name, customer key, the order key, date and total price and the quantity for the order.
Planner enhancement: cost estimation is not so good, join reorder. The inner subquery's result is only 300+ rows.
*/
explain
select
c_name,
c_custkey,
o_orderkey,
o_orderdate,
o_totalprice,
sum(l_quantity)
from
customer,
orders,
lineitem
where
o_orderkey in (
select
l_orderkey
from
lineitem
group by
l_orderkey having
sum(l_quantity) > 314
)
and c_custkey = o_custkey
and o_orderkey = l_orderkey
group by
c_name,
c_custkey,
o_orderkey,
o_orderdate,
o_totalprice
order by
o_totalprice desc,
o_orderdate
limit 100;
id count task operator info
Projection_24 100.00 root tpch.customer.c_name, tpch.customer.c_custkey, tpch.orders.o_orderkey, tpch.orders.o_orderdate, tpch.orders.o_totalprice, 14_col_0
└─TopN_27 100.00 root tpch.orders.o_totalprice:desc, tpch.orders.o_orderdate:asc, offset:0, count:100
└─HashAgg_33 59251097.60 root group by:tpch.customer.c_custkey, tpch.customer.c_name, tpch.orders.o_orderdate, tpch.orders.o_orderkey, tpch.orders.o_totalprice, funcs:sum(tpch.lineitem.l_quantity), firstrow(tpch.customer.c_custkey), firstrow(tpch.customer.c_name), firstrow(tpch.orders.o_orderkey), firstrow(tpch.orders.o_totalprice), firstrow(tpch.orders.o_orderdate)
└─IndexJoin_38 240004648.80 root inner join, inner:IndexLookUp_37, outer key:tpch.orders.o_orderkey, inner key:tpch.lineitem.l_orderkey
├─HashLeftJoin_41 59251097.60 root inner join, inner:Selection_52, equal:[eq(tpch.orders.o_orderkey, tpch.lineitem.l_orderkey)]
│ ├─HashRightJoin_47 75000000.00 root inner join, inner:TableReader_51, equal:[eq(tpch.customer.c_custkey, tpch.orders.o_custkey)]
│ │ ├─TableReader_51 7500000.00 root data:TableScan_50
│ │ │ └─TableScan_50 7500000.00 cop table:customer, range:[-inf,+inf], keep order:false
│ │ └─TableReader_49 75000000.00 root data:TableScan_48
│ │ └─TableScan_48 75000000.00 cop table:orders, range:[-inf,+inf], keep order:false
│ └─Selection_52 59251097.60 root gt(sel_agg_2, 314)
│ └─HashAgg_59 74063872.00 root group by:col_2, funcs:sum(col_0), firstrow(col_1)
│ └─TableReader_60 74063872.00 root data:HashAgg_53
│ └─HashAgg_53 74063872.00 cop group by:tpch.lineitem.l_orderkey, funcs:sum(tpch.lineitem.l_quantity), firstrow(tpch.lineitem.l_orderkey)
│ └─TableScan_58 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
└─IndexLookUp_37 1.00 root
├─IndexScan_35 1.00 cop table:lineitem, index:L_ORDERKEY, L_LINENUMBER, range: decided by [tpch.orders.o_orderkey], keep order:false
└─TableScan_36 1.00 cop table:lineitem, keep order:false
/*
Q19 Discounted Revenue Query
The Discounted Revenue Query reports the gross discounted revenue attributed to the sale of selected parts handled
in a particular manner. This query is an example of code such as might be produced programmatically by a data
mining tool.
The Discounted Revenue query finds the gross discounted revenue for all orders for three different types of parts
that were shipped by air and delivered in person. Parts are selected based on the combination of specific brands, a
list of containers, and a range of sizes.
*/
explain
select
sum(l_extendedprice* (1 - l_discount)) as revenue
from
lineitem,
part
where
(
p_partkey = l_partkey
and p_brand = 'Brand#52'
and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
and l_quantity >= 4 and l_quantity <= 4 + 10
and p_size between 1 and 5
and l_shipmode in ('AIR', 'AIR REG')
and l_shipinstruct = 'DELIVER IN PERSON'
)
or
(
p_partkey = l_partkey
and p_brand = 'Brand#11'
and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
and l_quantity >= 18 and l_quantity <= 18 + 10
and p_size between 1 and 10
and l_shipmode in ('AIR', 'AIR REG')
and l_shipinstruct = 'DELIVER IN PERSON'
)
or
(
p_partkey = l_partkey
and p_brand = 'Brand#51'
and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
and l_quantity >= 29 and l_quantity <= 29 + 10
and p_size between 1 and 15
and l_shipmode in ('AIR', 'AIR REG')
and l_shipinstruct = 'DELIVER IN PERSON'
);
id count task operator info
StreamAgg_13 1.00 root funcs:sum(col_0)
└─Projection_32 6286493.79 root mul(tpch.lineitem.l_extendedprice, minus(1, tpch.lineitem.l_discount))
└─IndexJoin_29 6286493.79 root inner join, inner:TableReader_28, outer key:tpch.lineitem.l_partkey, inner key:tpch.part.p_partkey, other cond:or(and(and(eq(tpch.part.p_brand, "Brand#52"), in(tpch.part.p_container, "SM CASE", "SM BOX", "SM PACK", "SM PKG")), and(ge(tpch.lineitem.l_quantity, 4), and(le(tpch.lineitem.l_quantity, 14), le(tpch.part.p_size, 5)))), or(and(and(eq(tpch.part.p_brand, "Brand#11"), in(tpch.part.p_container, "MED BAG", "MED BOX", "MED PKG", "MED PACK")), and(ge(tpch.lineitem.l_quantity, 18), and(le(tpch.lineitem.l_quantity, 28), le(tpch.part.p_size, 10)))), and(and(eq(tpch.part.p_brand, "Brand#51"), in(tpch.part.p_container, "LG CASE", "LG BOX", "LG PACK", "LG PKG")), and(ge(tpch.lineitem.l_quantity, 29), and(le(tpch.lineitem.l_quantity, 39), le(tpch.part.p_size, 15))))))
├─TableReader_22 6286493.79 root data:Selection_21
│ └─Selection_21 6286493.79 cop eq(tpch.lineitem.l_shipinstruct, "DELIVER IN PERSON"), in(tpch.lineitem.l_shipmode, "AIR", "AIR REG"), or(and(ge(tpch.lineitem.l_quantity, 4), le(tpch.lineitem.l_quantity, 14)), or(and(ge(tpch.lineitem.l_quantity, 18), le(tpch.lineitem.l_quantity, 28)), and(ge(tpch.lineitem.l_quantity, 29), le(tpch.lineitem.l_quantity, 39))))
│ └─TableScan_20 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
└─TableReader_28 8000000.00 root data:Selection_27
└─Selection_27 8000000.00 cop ge(tpch.part.p_size, 1), or(and(eq(tpch.part.p_brand, "Brand#52"), and(in(tpch.part.p_container, "SM CASE", "SM BOX", "SM PACK", "SM PKG"), le(tpch.part.p_size, 5))), or(and(eq(tpch.part.p_brand, "Brand#11"), and(in(tpch.part.p_container, "MED BAG", "MED BOX", "MED PKG", "MED PACK"), le(tpch.part.p_size, 10))), and(eq(tpch.part.p_brand, "Brand#51"), and(in(tpch.part.p_container, "LG CASE", "LG BOX", "LG PACK", "LG PKG"), le(tpch.part.p_size, 15)))))
└─TableScan_26 1.00 cop table:part, range: decided by [tpch.lineitem.l_partkey], keep order:false
/*
Q20 Potential Part Promotion Query
The Potential Part Promotion Query identifies suppliers in a particular nation having selected parts that may be candidates
for a promotional offer.
The Potential Part Promotion query identifies suppliers who have an excess of a given part available; an excess is
defined to be more than 50% of the parts like the given part that the supplier shipped in a given year for a given
nation. Only parts whose names share a certain naming convention are considered.
*/
explain
select
s_name,
s_address
from
supplier,
nation
where
s_suppkey in (
select
ps_suppkey
from
partsupp
where
ps_partkey in (
select
p_partkey
from
part
where
p_name like 'green%'
)
and ps_availqty > (
select
0.5 * sum(l_quantity)
from
lineitem
where
l_partkey = ps_partkey
and l_suppkey = ps_suppkey
and l_shipdate >= '1993-01-01'
and l_shipdate < date_add('1993-01-01', interval '1' year)
)
)
and s_nationkey = n_nationkey
and n_name = 'ALGERIA'
order by
s_name;
id count task operator info
Sort_28 20000.00 root tpch.supplier.s_name:asc
└─Projection_30 20000.00 root tpch.supplier.s_name, tpch.supplier.s_address
└─HashRightJoin_32 20000.00 root inner join, inner:HashRightJoin_38, equal:[eq(tpch.supplier.s_suppkey, tpch.partsupp.ps_suppkey)]
├─HashRightJoin_38 20000.00 root inner join, inner:TableReader_43, equal:[eq(tpch.nation.n_nationkey, tpch.supplier.s_nationkey)]
│ ├─TableReader_43 1.00 root data:Selection_42
│ │ └─Selection_42 1.00 cop eq(tpch.nation.n_name, "ALGERIA")
│ │ └─TableScan_41 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ └─TableReader_40 500000.00 root data:TableScan_39
│ └─TableScan_39 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
└─HashAgg_46 64006.34 root group by:tpch.partsupp.ps_suppkey, funcs:firstrow(tpch.partsupp.ps_suppkey)
└─Projection_47 64006.34 root tpch.partsupp.ps_partkey, tpch.partsupp.ps_suppkey, tpch.partsupp.ps_availqty, tpch.part.p_partkey, mul(0.5, 14_col_0)
└─Selection_48 64006.34 root gt(cast(tpch.partsupp.ps_availqty), mul(0.5, 14_col_0))
└─HashAgg_51 80007.93 root group by:tpch.partsupp.ps_partkey, tpch.partsupp.ps_suppkey, funcs:firstrow(tpch.partsupp.ps_partkey), firstrow(tpch.partsupp.ps_suppkey), firstrow(tpch.partsupp.ps_availqty), firstrow(tpch.part.p_partkey), sum(tpch.lineitem.l_quantity)
└─HashLeftJoin_54 9711455.06 root left outer join, inner:TableReader_81, equal:[eq(tpch.partsupp.ps_partkey, tpch.lineitem.l_partkey) eq(tpch.partsupp.ps_suppkey, tpch.lineitem.l_suppkey)]
├─IndexJoin_59 321865.05 root inner join, inner:IndexLookUp_58, outer key:tpch.part.p_partkey, inner key:tpch.partsupp.ps_partkey
│ ├─TableReader_76 80007.93 root data:Selection_75
│ │ └─Selection_75 80007.93 cop like(tpch.part.p_name, "green%", 92)
│ │ └─TableScan_74 10000000.00 cop table:part, range:[-inf,+inf], keep order:false
│ └─IndexLookUp_58 1.00 root
│ ├─IndexScan_56 1.00 cop table:partsupp, index:PS_PARTKEY, PS_SUPPKEY, range: decided by [tpch.part.p_partkey], keep order:false
│ └─TableScan_57 1.00 cop table:partsupp, keep order:false
└─TableReader_81 44189356.65 root data:Selection_80
└─Selection_80 44189356.65 cop ge(tpch.lineitem.l_shipdate, 1993-01-01 00:00:00.000000), lt(tpch.lineitem.l_shipdate, 1994-01-01)
└─TableScan_79 300005811.00 cop table:lineitem, range:[-inf,+inf], keep order:false
/*
Q21 Suppliers Who Kept Orders Waiting Query
This query identifies certain suppliers who were not able to ship required parts in a timely manner.
The Suppliers Who Kept Orders Waiting query identifies suppliers, for a given nation, whose product was part of a
multi-supplier order (with current status of 'F') where they were the only supplier who failed to meet the committed
delivery date.
*/
explain
select
s_name,
count(*) as numwait
from
supplier,
lineitem l1,
orders,
nation
where
s_suppkey = l1.l_suppkey
and o_orderkey = l1.l_orderkey
and o_orderstatus = 'F'
and l1.l_receiptdate > l1.l_commitdate
and exists (
select
*
from
lineitem l2
where
l2.l_orderkey = l1.l_orderkey
and l2.l_suppkey <> l1.l_suppkey
)
and not exists (
select
*
from
lineitem l3
where
l3.l_orderkey = l1.l_orderkey
and l3.l_suppkey <> l1.l_suppkey
and l3.l_receiptdate > l3.l_commitdate
)
and s_nationkey = n_nationkey
and n_name = 'EGYPT'
group by
s_name
order by
numwait desc,
s_name
limit 100;
id count task operator info
Projection_25 1.00 root tpch.supplier.s_name, 17_col_0
└─TopN_28 1.00 root 17_col_0:desc, tpch.supplier.s_name:asc, offset:0, count:100
└─HashAgg_34 1.00 root group by:tpch.supplier.s_name, funcs:count(1), firstrow(tpch.supplier.s_name)
└─IndexJoin_40 7828961.66 root anti semi join, inner:IndexLookUp_39, outer key:l1.l_orderkey, inner key:l3.l_orderkey, other cond:ne(l3.l_suppkey, l1.l_suppkey), ne(l3.l_suppkey, tpch.supplier.s_suppkey)
├─IndexJoin_56 9786202.08 root semi join, inner:IndexLookUp_55, outer key:l1.l_orderkey, inner key:l2.l_orderkey, other cond:ne(l2.l_suppkey, l1.l_suppkey), ne(l2.l_suppkey, tpch.supplier.s_suppkey)
│ ├─IndexJoin_62 12232752.60 root inner join, inner:TableReader_61, outer key:l1.l_orderkey, inner key:tpch.orders.o_orderkey
│ │ ├─HashRightJoin_66 12232752.60 root inner join, inner:HashRightJoin_72, equal:[eq(tpch.supplier.s_suppkey, l1.l_suppkey)]
│ │ │ ├─HashRightJoin_72 20000.00 root inner join, inner:TableReader_77, equal:[eq(tpch.nation.n_nationkey, tpch.supplier.s_nationkey)]
│ │ │ │ ├─TableReader_77 1.00 root data:Selection_76
│ │ │ │ │ └─Selection_76 1.00 cop eq(tpch.nation.n_name, "EGYPT")
│ │ │ │ │ └─TableScan_75 25.00 cop table:nation, range:[-inf,+inf], keep order:false
│ │ │ │ └─TableReader_74 500000.00 root data:TableScan_73
│ │ │ │ └─TableScan_73 500000.00 cop table:supplier, range:[-inf,+inf], keep order:false
│ │ │ └─TableReader_80 240004648.80 root data:Selection_79
│ │ │ └─Selection_79 240004648.80 cop gt(l1.l_receiptdate, l1.l_commitdate)
│ │ │ └─TableScan_78 300005811.00 cop table:l1, range:[-inf,+inf], keep order:false
│ │ └─TableReader_61 36517371.00 root data:Selection_60
│ │ └─Selection_60 36517371.00 cop eq(tpch.orders.o_orderstatus, "F")
│ │ └─TableScan_59 1.00 cop table:orders, range: decided by [l1.l_orderkey], keep order:false
│ └─IndexLookUp_55 1.00 root
│ ├─IndexScan_53 1.00 cop table:l2, index:L_ORDERKEY, L_LINENUMBER, range: decided by [l1.l_orderkey], keep order:false
│ └─TableScan_54 1.00 cop table:lineitem, keep order:false
└─IndexLookUp_39 240004648.80 root
├─IndexScan_36 1.00 cop table:l3, index:L_ORDERKEY, L_LINENUMBER, range: decided by [l1.l_orderkey], keep order:false
└─Selection_38 240004648.80 cop gt(l3.l_receiptdate, l3.l_commitdate)
└─TableScan_37 1.00 cop table:lineitem, keep order:false
/*
Q22 Global Sales Opportunity Query
The Global Sales Opportunity Query identifies geographies where there are customers who may be likely to make a
purchase.
This query counts how many customers within a specific range of country codes have not placed orders for 7 years
but who have a greater than average “positive” account balance. It also reflects the magnitude of that balance.
Country code is defined as the first two characters of c_phone.
*/
explain
select
cntrycode,
count(*) as numcust,
sum(c_acctbal) as totacctbal
from
(
select
substring(c_phone from 1 for 2) as cntrycode,
c_acctbal
from
customer
where
substring(c_phone from 1 for 2) in
('20', '40', '22', '30', '39', '42', '21')
and c_acctbal > (
select
avg(c_acctbal)
from
customer
where
c_acctbal > 0.00
and substring(c_phone from 1 for 2) in
('20', '40', '22', '30', '39', '42', '21')
)
and not exists (
select
*
from
orders
where
o_custkey = c_custkey
)
) as custsale
group by
cntrycode
order by
cntrycode;
id count task operator info
Sort_32 1.00 root custsale.cntrycode:asc
└─Projection_34 1.00 root custsale.cntrycode, 28_col_0, 28_col_1
└─HashAgg_37 1.00 root group by:custsale.cntrycode, funcs:count(1), sum(custsale.c_acctbal), firstrow(custsale.cntrycode)
└─Projection_38 0.00 root substring(tpch.customer.c_phone, 1, 2), tpch.customer.c_acctbal
└─HashLeftJoin_39 0.00 root anti semi join, inner:TableReader_45, equal:[eq(tpch.customer.c_custkey, tpch.orders.o_custkey)]
├─Selection_40 0.00 root in(substring(tpch.customer.c_phone, 1, 2), "20", "40", "22", "30", "39", "42", "21")
│ └─TableReader_43 0.00 root data:Selection_42
│ └─Selection_42 0.00 cop gt(tpch.customer.c_acctbal, NULL)
│ └─TableScan_41 7500000.00 cop table:customer, range:[-inf,+inf], keep order:false
└─TableReader_45 75000000.00 root data:TableScan_44
└─TableScan_44 75000000.00 cop table:orders, range:[-inf,+inf], keep order:false
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