TPC-H Benchmark

TPC-H 是一个决策支持基准（Decision Support Benchmark），它由一套面向业务的特别查询和并发数据修改组成。查询和填充数据库的数据具有广泛的行业相关性。这个基准测试演示了检查大量数据、执行高度复杂的查询并回答关键业务问题的决策支持系统。TPC-H 报告的性能指标称为 TPC-H 每小时复合查询性能指标 (QphH@Size)，反映了系统处理查询能力的多个方面。这些方面包括执行查询时所选择的数据库大小，由单个流提交查询时的查询处理能力，以及由多个并发用户提交查询时的查询吞吐量。

本文档主要介绍 Doris 在 TPC-H 1000G 测试集上的性能表现。

在 TPC-H 标准测试数据集上的 22 个查询上，我们基于 Apache Doris 3.0.3-rc03 (存算分离模式) 和 Apache Doris 2.1.7-rc03 版本进行了对比测试。3.x 版本存算一体模式的性能参照 2.1.x 版本。

TPCH_1000G

1. 硬件环境

硬件	配置说明
机器数量	4 台阿里云主机（1 个 FE，3 个 BE）
CPU	Intel Xeon (Ice Lake) Platinum 8369B 32核
内存	128G
磁盘	阿里云 ESSD (PL0)

2. 软件环境

Doris 部署 3BE 1FE
内核版本：Linux version 5.15.0-101-generic
操作系统版本：Ubuntu 20.04 LTS (Focal Fossa)
Doris 软件版本：Apache Doris 3.0.3-rc03 (存算分离模式), Apache Doris 2.1.7-rc03
JDK：openjdk version "17.0.2"

3. 测试数据量

整个测试模拟生成 TPC-H 1000G 的数据分别导入到 Apache Doris 3.0.3-rc03 (存算分离模式) 和 Apache Doris 2.1.7-rc03 版本进行测试，下面是表的相关说明及数据量。

TPC-H 表名	行数	备注
REGION	5	区域表
NATION	25	国家表
SUPPLIER	1000 万	供应商表
PART	2 亿	零部件表
PARTSUPP	8 亿	零部件供应表
CUSTOMER	1.5 亿	客户表
ORDERS	15 亿	订单表
LINEITEM	60 亿	订单明细表

4. 测试 SQL

TPC-H 22 个测试查询语句： TPCH-Query-SQL

5. 测试结果

这里我们使用 Apache Doris 3.0.3-rc03 (存算分离模式) 和 Apache Doris 2.1.7-rc03 版本进行对比测试，测试结果如下：

Query	Apache Doris 3.0.3-rc03 Compute-Storage Coupled Mode (ms)	Apache Doris 2.1.7-rc03 (ms)
q01	13390	11880
q02	250	280
q03	4800	3890
q04	2870	2570
q05	6780	6630
q06	200	170
q07	2350	2420
q08	4300	3730
q09	15160	15910
q10	5000	7880
q11	650	560
q12	530	500
q13	9440	9540
q14	570	590
q15	1210	1170
q16	1070	910
q17	2000	1920
q18	17950	17700
q19	2550	2370
q20	490	560
q21	7830	9150
q22	2890	1130
Total	102280	101460

6. 环境准备

请先参照官方文档进行 Doris 的安装部署，以获得一个正常运行中的 Doris 集群（至少包含 1 FE 1 BE，推荐 1 FE 3 BE）。

7. 数据准备

7.1 下载安装 TPC-H 数据生成工具

执行以下脚本下载并编译 tpch-tools 工具。

sh bin/build-tpch-dbgen.sh

安装成功后，将在 TPC-H_Tools_v3.0.0/ 目录下生成 dbgen 二进制文件。

7.2 生成 TPC-H 测试集

执行以下脚本生成 TPC-H 数据集：

sh bin/gen-tpch-data.sh -s 1000

注 1：通过 sh gen-tpch-data.sh -h 查看脚本帮助。

注 2：数据会以 .tbl 为后缀生成在 tpch-data/ 目录下。文件总大小约 1000GB。生成时间可能在数分钟到 1 小时不等。

注 3：默认生成 100G 的标准测试数据集

7.3 建表

7.3.1 准备 `doris-cluster.conf` 文件

在调用导入脚本前，需要将 FE 的 ip 端口等信息写在 doris-cluster.conf 文件中。

文件位置在 ${DORIS_HOME}/tools/tpch-tools/conf/ 目录下。

文件内容包括 FE 的 ip，HTTP 端口，用户名，密码以及待导入数据的 DB 名称：

# Any of FE host
export FE_HOST='127.0.0.1'
# http_port in fe.conf
export FE_HTTP_PORT=8030
# query_port in fe.conf
export FE_QUERY_PORT=9030
# Doris username
export USER='root'
# Doris password
export PASSWORD=''
# The database where TPC-H tables located
export DB='tpch'

7.3.2 执行以下脚本生成创建 TPC-H 表

sh bin/create-tpch-tables.sh -s 1000

或者复制 create-tpch-tables.sql 中的建表语句，在 Doris 中执行。

7.4 导入数据

通过下面的命令执行数据导入：

sh bin/load-tpch-data.sh

7.5 检查导入数据

执行下面的 SQL 语句检查导入的数据与上面的数据量一致。

select count(*)  from  lineitem;
select count(*)  from  orders;
select count(*)  from  partsupp;
select count(*)  from  part;
select count(*)  from  customer;
select count(*)  from  supplier;
select count(*)  from  nation;
select count(*)  from  region;
select count(*)  from  revenue0;

7.6 查询测试

7.6.1 执行查询脚本

执行上面的测试 SQL 或者执行下面的命令

sh bin/run-tpch-queries.sh -s 1000

7.6.2 单个 SQL 执行

下面是测试时使用的 SQL 语句，你也可以从代码库里获取最新的 SQL。最新测试查询语句地址：TPC-H 测试查询语句

--Q1
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 '90' day
group by
    l_returnflag,
    l_linestatus
order by
    l_returnflag,
    l_linestatus;

--Q2
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 = 15
    and p_type like '%BRASS'
    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
select
    l_orderkey,
    sum(l_extendedprice * (1 - l_discount)) as revenue,
    o_orderdate,
    o_shippriority
from
    customer,
    orders,
    lineitem
where
    c_mktsegment = 'BUILDING'
    and c_custkey = o_custkey
    and l_orderkey = o_orderkey
    and o_orderdate < date '1995-03-15'
    and l_shipdate > date '1995-03-15'
group by
    l_orderkey,
    o_orderdate,
    o_shippriority
order by
    revenue desc,
    o_orderdate
limit 10;

--Q4
select
    o_orderpriority,
    count(*) as order_count
from
    orders
where
    o_orderdate >= date '1993-07-01'
    and o_orderdate < date '1993-07-01' + 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
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 = 'ASIA'
    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
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 .06 - 0.01 and .06 + 0.01
    and l_quantity < 24;

--Q7
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 = 'FRANCE' and n2.n_name = 'GERMANY')
                or (n1.n_name = 'GERMANY' and n2.n_name = 'FRANCE')
            )
            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

select
    o_year,
    sum(case
        when nation = 'BRAZIL' 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 = 'AMERICA'
            and s_nationkey = n2.n_nationkey
            and o_orderdate between date '1995-01-01' and date '1996-12-31'
            and p_type = 'ECONOMY ANODIZED STEEL'
    ) as all_nations
group by
    o_year
order by
    o_year;

--Q9
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 '%green%'
    ) as profit
group by
    nation,
    o_year
order by
    nation,
    o_year desc;

--Q10
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 '1993-10-01'
    and o_orderdate < date '1993-10-01' + 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
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 = 'GERMANY'
group by
    ps_partkey having
    sum(ps_supplycost * ps_availqty) > (
        select
        sum(ps_supplycost * ps_availqty) * 0.000002
        from
            partsupp,
            supplier,
            nation
        where
            ps_suppkey = s_suppkey
            and s_nationkey = n_nationkey
            and n_name = 'GERMANY'
    )
order by
    value desc;

--Q12
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 ('MAIL', 'SHIP')
    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
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 '%special%requests%'
        group by
            c_custkey
    ) as c_orders
group by
    c_count
order by
    custdist desc,
    c_count desc;

--Q14
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 '1995-09-01'
    and l_shipdate < date '1995-09-01' + interval '1' month;

--Q15
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;

--Q16
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#45'
    and p_type not like 'MEDIUM POLISHED%'
    and p_size in (49, 14, 23, 45, 19, 3, 36, 9)
    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
select
    sum(l_extendedprice) / 7.0 as avg_yearly
from
    lineitem,
    part
where
    p_partkey = l_partkey
    and p_brand = 'Brand#23'
    and p_container = 'MED BOX'
    and l_quantity < (
        select
            0.2 * avg(l_quantity)
        from
            lineitem
        where
            l_partkey = p_partkey
    );

--Q18
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)  >  300
    )
    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
select
    sum(l_extendedprice* (1 - l_discount)) as revenue
from
    lineitem,
    part
where
    (
        p_partkey = l_partkey
        and p_brand = 'Brand#12'
        and p_container in ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG')
        and l_quantity >= 1 and l_quantity <= 1 + 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#23'
        and p_container in ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK')
        and l_quantity >= 10 and l_quantity <= 10 + 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#34'
        and p_container in ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG')
        and l_quantity >= 20 and l_quantity <= 20 + 10
        and p_size between 1 and 15
        and l_shipmode in ('AIR', 'AIR REG')
        and l_shipinstruct = 'DELIVER IN PERSON'
    );

--Q20
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 'forest%'
            )
            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 '1994-01-01'
                    and l_shipdate < date '1994-01-01' + interval '1' year
            )
    )
    and s_nationkey = n_nationkey
    and n_name = 'CANADA'
order by
    s_name;

--Q21
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 = 'SAUDI ARABIA'
group by
    s_name
order by
    numwait desc,
    s_name
limit 100;

--Q22
select
    cntrycode,
    count(*) as numcust,
    sum(c_acctbal) as totacctbal
from
    (
        select
            substring(c_phone, 1, 2) as cntrycode,
            c_acctbal
        from
            customer
        where
            substring(c_phone, 1, 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, 1, 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;

1. 硬件环境​

2. 软件环境​

3. 测试数据量​

4. 测试 SQL​

5. 测试结果​

6. 环境准备​

7. 数据准备​

7.1 下载安装 TPC-H 数据生成工具​

7.2 生成 TPC-H 测试集​

7.3 建表​

7.3.1 准备 doris-cluster.conf 文件​

7.3.2 执行以下脚本生成创建 TPC-H 表​

7.4 导入数据​

7.5 检查导入数据​

7.6 查询测试​

7.6.1 执行查询脚本​

7.6.2 单个 SQL 执行​