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 2.1.1-rc03 和 Apache Doris 2.0.6 版本进行了对比测试。
1. 硬件环境
硬件 | 配置说明 |
---|---|
机器数量 | 4 台腾讯云主机(1 个 FE,3 个 BE) |
CPU | AMD EPYC™ Milan(2.55GHz/3.5GHz) 48 核 |
内存 | 192G |
网络带宽 | 21Gbps |
磁盘 | 高性能云硬盘 |
2. 软件环境
- Doris 部署 3BE 1FE
- 内核版本:Linux version 5.4.0-96-generic (buildd@lgw01-amd64-051)
- 操作系统版本:Ubuntu 20.04 LTS (Focal Fossa)
- Doris 软件版本:Apache Doris 2.1.1-rc03、Apache Doris 2.0.6
- JDK:openjdk version “1.8.0_131”
3. 测试数据量
整个测试模拟生成 TPCH 1000G 的数据分别导入到 Apache Doris 2.1.1-rc03 和 Apache Doris 2.0.6 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
TPCH 22 个测试查询语句: TPCH-Query-SQL
5. 测试结果
这里我们使用 Apache Doris 2.1.1-rc03 和 Apache Doris 2.0.6 版本进行对比测试,测试结果如下:
Query | Apache Doris 2.1.1-rc03 (ms) | Apache Doris 2.0.6 (ms) |
---|---|---|
Q1 | 7240 | 7638 |
Q2 | 249 | 377 |
Q3 | 3528 | 4389 |
Q4 | 1534 | 1903 |
Q5 | 5457 | 6425 |
Q6 | 159 | 150 |
Q7 | 1598 | 3141 |
Q8 | 2958 | 2792 |
Q9 | 14803 | 24732 |
Q10 | 6743 | 7315 |
Q11 | 414 | 395 |
Q12 | 371 | 417 |
Q13 | 6203 | 8095 |
Q14 | 485 | 681 |
Q15 | 2246 | 1459 |
Q16 | 1252 | 1382 |
Q17 | 1461 | 1204 |
Q18 | 10428 | 11386 |
Q19 | 2329 | 2172 |
Q20 | 569 | 1455 |
Q21 | 5574 | 6570 |
Q22 | 1042 | 1517 |
合计 | 76643 | 95595 |
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;