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TPC-H

更新时间: 2021-09-26

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AnalyticDB PostgreSQL实例。创建实例具体操作,请参见创建实例

    本文测试的AnalyticDB PostgreSQL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AnalyticDB PostgreSQL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psql

生成测试数据

  1. 登录ECS实例,登录方式,请参见连接ECS实例

  2. 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
  3. 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AnalyticDB PostgreSQL版实例节点数量一致,例如本文中示例AnalyticDB PostgreSQL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

  1. 使用psql连接AnalyticDB PostgreSQL,连接方式,请参见psql

  2. 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)
    ;

    8张表的逻辑关系如下图所示。

(图片来源于:TPC Benchmark H Standard Specification

导入数据

以下内容为您介绍如何导入数据到AnalyticDB PostgreSQL数据库中。

  1. 在AnalyticDB PostgreSQL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.tblregion.tbl文件的实际路径。

  2. 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。

    1. 在ECS上下载ossutil,命令如下:

      wget http://gosspublic.alicdn.com/ossutil/1.7.3/ossutil64
    2. 修改文件的执行权限,命令如下:

      chmod 755 ossutil64
    3. 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
  3. 待所有表上传到OSS后,在AnalyticDB PostgreSQL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

  1. 下载tpch_query.tar.gz文件并解压到~/tpch_query目录。

  2. 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
  3. 在ECS上运行query.sh脚本。

    nohup bash ~/query.sh > /tmp/tpch.log &
  4. 执行如下命令查看结果。

    cat /tmp/tpch.log

客户端工具

连接AnalyticDB PostgreSQL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;
    
-- 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;