AnalyticDB PostgreSQL 6.0版在支持ACID和分布式事务的同时，提供了优秀的大数据MPP分析性能。本文讲述如何运行TPC-H进行测试。
TPC-H简介
以下文字描述引用自TPC Benchmark™ H (TPC-H)规范：
“TPC-H是一个决策支持基准，由一套面向业务的临时查询和并发数据修改组成。选择的查询和填充数据库的数据具有广泛的行业相关性。该基准测试说明了决策支持系统可以检查大量数据，执行高度复杂的查询，并解答关键的业务问题。”
详情请参见TPCH Specification。
说明
本文的TPC-H的实现基于TPC-H的基准测试，并不能与已发布的TPC-H基准测试结果相比较，本文中的测试并不符合TPC-H基准测试的所有要求。
前提条件
已注册阿里云账号。
已创建用于测试的云原生数据仓库 AnalyticDB PostgreSQL 版实例。创建实例具体操作，请参见创建实例。
本文测试的云原生数据仓库 AnalyticDB PostgreSQL 版实例规格如下：
引擎版本：6.0标准版
节点规格（segment）：2C16G
节点数量（segment）：32
存储磁盘类型：ESSD云盘
节点存储容量（segment）：200 GB
已创建用于测试的ECS实例。创建实例具体操作，请参见创建实例。
本文测试的ECS实例规格如下：
实例规格：ecs.g6e.4xlarge
操作系统：CentOS 7.x
系统盘：磁盘类型为ESSD云盘、容量为40 GiB、性能级别为PL1。
数据盘：磁盘类型为ESSD云盘、容量为2048 GiB、性能级别为PL3。
说明ECS实例创建完成后需要挂载数据库，具体操作，请参见分区格式化数据盘（Linux）。
已开通OSS并创建存储空间。
已将ECS实例的IP地址添加到云原生数据仓库 AnalyticDB PostgreSQL 版实例的白名单中，操作方式，请参见设置白名单。
已在ECS上安装psql，安装方式，请参见客户端连接。
生成测试数据
登录ECS实例，登录方式，请参见连接ECS实例。
在ECS上执行以下命令，下载TPC-H dbgen代码到数据盘并编译。
本文中数据盘的路径为
/mnt。wget https://github.com/electrum/tpch-dbgen/archive/refs/heads/master.zip yum install -y unzip zip unzip master.zip cd tpch-dbgen-master/ echo "#define EOL_HANDLING 1" >> config.h # 消除生成数据末尾的'|' make ./dbgen --help在ECS上执行如下命令，生成1 TB测试数据集。建议使用分片文件，分片数量与云原生数据仓库 AnalyticDB PostgreSQL 版实例节点数量一致，例如本文中示例云原生数据仓库 AnalyticDB PostgreSQL 版实例有32个计算节点，以下示例中将创建32个分片文件。
for((i=1;i<=32;i++)); do ./dbgen -s 1000 -S $i -C 32 -f & done说明数据量的大小对查询速度有直接的影响，TPC-H中使用SF描述数据量，1SF对应1 GB单位。1000SF，即1 TB。1SF对应的数据量只是8个表的总数据量不包括索引等空间占用，准备数据时需预留更多空间。
后台运行dbgen程序时间较长，您可以通过
ps -fHU $USER | grep dbgen命令查看进度，确保dbgen程序运行完成。
创建测试表
使用psql连接云原生数据仓库 AnalyticDB PostgreSQL 版，连接方式，请参见客户端连接。
执行如下语句创建用于测试的8张表。
CREATE TABLE NATION ( N_NATIONKEY INTEGER NOT NULL, N_NAME CHAR(25) NOT NULL, N_REGIONKEY INTEGER NOT NULL, N_COMMENT VARCHAR(152) ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED Replicated ; CREATE TABLE REGION ( R_REGIONKEY INTEGER NOT NULL, R_NAME CHAR(25) NOT NULL, R_COMMENT VARCHAR(152) ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED Replicated ; CREATE TABLE 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 ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED BY (P_PARTKEY) ; CREATE TABLE 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 ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED BY (S_SUPPKEY) ; CREATE TABLE 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 ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED BY (PS_PARTKEY) ; CREATE TABLE 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 ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED BY (C_CUSTKEY) ; CREATE TABLE ORDERS ( O_ORDERKEY BIGINT NOT NULL, O_CUSTKEY INTEGER NOT NULL, O_ORDERSTATUS "char" 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 ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED BY (O_ORDERKEY) ORDER BY(O_ORDERDATE) ; CREATE TABLE LINEITEM ( L_ORDERKEY BIGINT 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" NOT NULL, L_LINESTATUS "char" 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 ) WITH (APPENDONLY=TRUE, ORIENTATION=COLUMN, COMPRESSTYPE=LZ4, COMPRESSLEVEL=9) DISTRIBUTED BY (L_ORDERKEY) ORDER BY(L_SHIPDATE) ;
导入数据
以下内容为您介绍如何导入数据到云原生数据仓库 AnalyticDB PostgreSQL 版数据库中。
在云原生数据仓库 AnalyticDB PostgreSQL 版数据库中使用COPY命令导入nation和region两张小表，命令如下：
\copy nation from '/mnt/tpch-dbgen-master/nation.tbl' DELIMITER '|'; \copy region from '/mnt/tpch-dbgen-master/region.tbl' DELIMITER '|';说明上述示例中的
/mnt/tpch-dbgen-master为示例路径，测试过程中请替换成nation.tbl和region.tbl文件的实际路径。将其余的6张大表通过ossutil上传到OSS。更多关于ossutil的使用方法，请参见概述。
说明由于\COPY命令需要通过Master节点进行串行数据写入处理，无法实现并行写入大批量数据，因此需要通过OSS进行数据导入。
在ECS上下载ossutil，命令如下：
wget http://gosspublic.alicdn.com/ossutil/1.7.3/ossutil64修改文件的执行权限，命令如下：
chmod 755 ossutil64执行如下语句，依次将其余6张表的
.tbl文件通过ossutil上传到OSS。ls <table_name>.tbl* | while read line; do ~/ossutil64 -e <EndPoint> -i <AccessKey ID> -k <Access Key Secret> cp $line oss://<oss bucket>/<目录>/ & done
待所有表上传到OSS后，在云原生数据仓库 AnalyticDB PostgreSQL 版数据库中执行如下语句将数据从OSS导入表。具体信息，请参见使用COPY/UNLOAD导入/导出数据到OSS。
COPY customer FROM 'oss://<oss bucket>/<目录>/customer.tbl' ACCESS_KEY_ID '<AccessKey ID>' SECRET_ACCESS_KEY '<Access Key Secret>' FORMAT AS text "delimiter" '|' "null" '' ENDPOINT '<EndPoint>' FDW 'oss_fdw' ; COPY lineitem FROM 'oss://<oss bucket>/<目录>/lineitem.tbl' ACCESS_KEY_ID '<AccessKey ID>' SECRET_ACCESS_KEY '<Access Key Secret>' FORMAT AS text "delimiter" '|' "null" '' ENDPOINT '<EndPoint>' FDW 'oss_fdw' ; -- lineitem表定义了排序列，数据导入完成后可对数据进行聚簇排序 sort lineitem; COPY orders FROM 'oss://<oss bucket>/<目录>/orders.tbl' ACCESS_KEY_ID '<AccessKey ID>' SECRET_ACCESS_KEY '<Access Key Secret>' FORMAT AS text "delimiter" '|' "null" '' ENDPOINT '<EndPoint>' FDW 'oss_fdw' ; -- orders表定义了排序列，数据导入完成后可对数据进行聚簇排序 sort orders; COPY part FROM 'oss://<oss bucket>/<目录>/part.tbl' ACCESS_KEY_ID '<AccessKey ID>' SECRET_ACCESS_KEY '<Access Key Secret>' FORMAT AS text "delimiter" '|' "null" '' ENDPOINT '<EndPoint>' FDW 'oss_fdw' ; COPY supplier FROM 'oss://<oss bucket>/<目录>/supplier.tbl' ACCESS_KEY_ID '<AccessKey ID>' SECRET_ACCESS_KEY '<Access Key Secret>' FORMAT AS text "delimiter" '|' "null" '' ENDPOINT '<EndPoint>' FDW 'oss_fdw' ; COPY partsupp FROM 'oss://<oss bucket>/<目录>/partsupp.tbl' ACCESS_KEY_ID '<AccessKey ID>' SECRET_ACCESS_KEY '<Access Key Secret>' FORMAT AS text "delimiter" '|' ENDPOINT '<EndPoint>' FDW 'oss_fdw' ;
执行查询
您可以通过Shell脚本进行测试，也可以通过psql等客户端工具逐条执行查询SQL，以下内容将分别介绍两种执行查询的方法。
Shell脚本
下载tpch_query .tar.gz文件并解压到
~/tpch_query目录。创建一个名为
query.sh的Shell脚本，用于执行全部查询，并记录每条耗时和总耗时。Shell脚本内容如下：
#!/bin/bash total_cost=0 for i in {1..22} do echo "begin run Q${i}, tpch_query/q$i.sql , `date`" begin_time=`date +%s.%N` ./psql ${实例连接地址} -p ${端口号} -U ${数据库用户} -f ~/tpch_query/q${i}.sql > ~/log/log_q${i}.out rc=$? end_time=`date +%s.%N` cost=`echo "$end_time-$begin_time"|bc` total_cost=`echo "$total_cost+$cost"|bc` if [ $rc -ne 0 ] ; then printf "run Q%s fail, cost: %.2f, totalCost: %.2f, `date`\n" $i $cost $total_cost else printf "run Q%s succ, cost: %.2f, totalCost: %.2f, `date`\n" $i $cost $total_cost fi done在ECS上运行
query.sh脚本。nohup bash ~/query.sh > /tmp/tpch.log &执行如下命令查看结果。
cat /tmp/tpch.log
客户端工具
连接云原生数据仓库 AnalyticDB PostgreSQL 版数据库后，逐条执行以下语句进行查询，并对比查询结果。
--创建向量化计算引擎Laser插件
create extension if not exists laser;
-- Q1
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 '1998-12-01' - interval '93 day'
group by
l_returnflag,
l_linestatus
order by
l_returnflag,
l_linestatus;
-- Q2
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 = 23
and p_type like '%STEEL'
and s_nationkey = n_nationkey
and n_regionkey = r_regionkey
and r_name = 'EUROPE'
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 = 'EUROPE'
)
order by
s_acctbal desc,
n_name,
s_name,
p_partkey
limit 100;
-- Q3
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
select
l_orderkey,
sum(l_extendedprice * (1 - l_discount)) as revenue,
o_orderdate,
o_shippriority
from
customer,
orders,
lineitem
where
c_mktsegment = 'MACHINERY'
and c_custkey = o_custkey
and l_orderkey = o_orderkey
and o_orderdate < date '1995-03-24'
and l_shipdate > date '1995-03-24'
group by
l_orderkey,
o_orderdate,
o_shippriority
order by
revenue desc,
o_orderdate
limit 10;
-- Q4
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
select
o_orderpriority,
count(*) as order_count
from
orders
where
o_orderdate >= date '1996-08-01'
and o_orderdate < date '1996-08-01' + 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;
-- Q5
-- 开启向量加速引擎，并设置开关变量为on
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 >= date '1994-01-01'
and o_orderdate < date '1994-01-01' + interval '1' year
group by
n_name
order by
revenue desc;
-- Q6
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
select
sum(l_extendedprice * l_discount) as revenue
from
lineitem
where
l_shipdate >= date '1994-01-01'
and l_shipdate < date '1994-01-01' + interval '1' year
and l_discount between 0.06 - 0.01 and 0.06 + 0.01
and l_quantity < 24;
-- Q7
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 = 'JORDAN' and n2.n_name = 'INDONESIA')
or (n1.n_name = 'INDONESIA' and n2.n_name = 'JORDAN')
)
and l_shipdate between date '1995-01-01' and date '1996-12-31'
) as shipping
group by
supp_nation,
cust_nation,
l_year
order by
supp_nation,
cust_nation,
l_year;
-- Q8
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
select
o_year,
sum(case
when nation = 'INDONESIA' 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 date '1995-01-01' and date '1996-12-31'
and p_type = 'STANDARD BRUSHED BRASS'
) as all_nations
group by
o_year
order by
o_year;
-- Q9
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 '%chartreuse%'
) as profit
group by
nation,
o_year
order by
nation,
o_year desc;
-- Q10
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 >= date '1994-08-01'
and o_orderdate < date '1994-08-01' + 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;
-- Q11
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 = 'INDONESIA'
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 = 'INDONESIA'
)
order by
value desc;
-- Q12
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 ('REG AIR', 'TRUCK')
and l_commitdate < l_receiptdate
and l_shipdate < l_commitdate
and l_receiptdate >= date '1994-01-01'
and l_receiptdate < date '1994-01-01' + interval '1' year
group by
l_shipmode
order by
l_shipmode;
-- Q13
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
select
c_count,
count(*) as custdist
from
(
select
c_custkey,
count(o_orderkey)
from
customer left outer join orders on
c_custkey = o_custkey
and o_comment not like '%pending%requests%'
group by
c_custkey
) as c_orders (c_custkey, c_count)
group by
c_count
order by
custdist desc,
c_count desc;
-- Q14
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 >= date '1994-11-01'
and l_shipdate < date '1994-11-01' + interval '1' month;
-- Q15
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
create view revenue0 (supplier_no, total_revenue) as
select
l_suppkey,
sum(l_extendedprice * (1 - l_discount))
from
lineitem
where
l_shipdate >= date '1997-10-01'
and l_shipdate < date '1997-10-01' + 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
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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#44'
and p_type not like 'SMALL BURNISHED%'
and p_size in (36, 27, 34, 45, 11, 6, 25, 16)
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;
-- Q17
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
select
sum(l_extendedprice) / 7.0 as avg_yearly
from
lineitem,
part
where
p_partkey = l_partkey
and p_brand = 'Brand#42'
and p_container = 'JUMBO PACK'
and l_quantity < (
select
0.2 * avg(l_quantity)
from
lineitem
where
l_partkey = p_partkey
);
-- Q18
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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) > 312
)
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;
-- Q19
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
select
sum(l_extendedprice* (1 - l_discount)) as revenue
from
lineitem,
part
where
(
p_partkey = l_partkey
and p_brand = 'Brand#43'
and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
and l_quantity >= 5 and l_quantity <= 5 + 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#45'
and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
and l_quantity >= 12 and l_quantity <= 12 + 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#11'
and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
and l_quantity >= 24 and l_quantity <= 24 + 10
and p_size between 1 and 15
and l_shipmode in ('AIR', 'AIR REG')
and l_shipinstruct = 'DELIVER IN PERSON'
);
-- Q20
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 'magenta%'
)
and ps_availqty > (
select
0.5 * sum(l_quantity)
from
lineitem
where
l_partkey = ps_partkey
and l_suppkey = ps_suppkey
and l_shipdate >= date '1996-01-01'
and l_shipdate < date '1996-01-01' + interval '1' year
)
)
and s_nationkey = n_nationkey
and n_name = 'RUSSIA'
order by
s_name;
-- Q21
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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 = 'MOZAMBIQUE'
group by
s_name
order by
numwait desc,
s_name
limit 100;
-- Q22
-- 开启向量加速引擎，并设置开关变量为on
set laser.enable = on;
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
('13', '31', '23', '29', '30', '18', '17')
and c_acctbal > (
select
avg(c_acctbal)
from
customer
where
c_acctbal > 0.00
and substring(c_phone from 1 for 2) in
('13', '31', '23', '29', '30', '18', '17')
)
and not exists (
select
*
from
orders
where
o_custkey = c_custkey
)
) as custsale
group by
cntrycode
order by
cntrycode;文档内容是否对您有帮助？