---

{ “title”: “TPC-H Benchmark”, “language”: “en” }

TPC-H Benchmark

TPC-H is a decision support benchmark (Decision Support Benchmark), which consists of a set of business-oriented special query and concurrent data modification. The data that is queried and populates the database has broad industry relevance. This benchmark demonstrates a decision support system that examines large amounts of data, executes highly complex queries, and answers key business questions. The performance index reported by TPC-H is called TPC-H composite query performance index per hour (QphH@Size), which reflects multiple aspects of the system's ability to process queries. These aspects include the database size chosen when executing the query, the query processing capability when the query is submitted by a single stream, and the query throughput when the query is submitted by many concurrent users.

This document mainly introduces the performance of Doris on the TPC-H 1000G test set.

On 22 queries on the TPC-H standard test data set, we conducted a comparison test based on Apache Doris 2.1.1-rc03 and Apache Doris 2.0.6 versions.

1. Hardware Environment

Hardware	Configuration Instructions
Number of mMachines	4 Tencent Cloud Virtual Machine（1FE，3BEs）
CPU	AMD EPYC™ Milan(2.55GHz/3.5GHz) 48C
Memory	192G
Network	21Gbps
Disk	ESSD Cloud Hard Disk

2. Software Environment

• Doris Deployed 3BEs and 1FE
• Kernel Version: Linux version 5.4.0-96-generic (buildd@lgw01-amd64-051)
• OS version: Ubuntu 20.04 LTS (Focal Fossa)
• Doris software version: Apache Doris 2.1.1-rc03, Apache Doris 2.0.6.
• JDK: openjdk version “1.8.0_131”

3. Test Data Volume

The TPCH 1000G data generated by the simulation of the entire test are respectively imported into Apache Doris 2.1.1-rc03 and Apache Doris 2.0.6 for testing. The following is the relevant description and data volume of the table.

TPC-H Table Name	Rows	Annotation
REGION	5	Region
NATION	25	Nation
SUPPLIER	10,000,000	Supplier
PART	200,000,000	Parts
PARTSUPP	800,000,000	Parts Supply
CUSTOMER	150,000,000	Customer
ORDERS	1,500,000,000	Orders
LINEITEM	5,999,989,709	Order Details

4. Test SQL

TPCH 22 test query statements : TPCH-Query-SQL

5. Test Results

Here we use Apache Doris 2.1.1-rc03 and Apache Doris 2.0.6 for comparative testing. In the test, we use Query Time(ms) as the main performance indicator. The test results are as follows:

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
Total	76643	95595

6. Environmental Preparation

Please refer to the official document to install and deploy Doris to obtain a normal running Doris cluster (at least 1 FE 1 BE, 1 FE 3 BE is recommended).

7. Data Preparation

7.1 Download and Install TPC-H Data Generation Tool

Execute the following script to download and compile the tpch-tools tool.

sh bin/build-tpch-dbgen.sh

After successful installation, the dbgen binary will be generated under the TPC-H_Tools_v3.0.0/ directory.

7.2 Generating the TPC-H Test Set

Execute the following script to generate the TPC-H dataset:

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

Note 1: Check the script help via sh gen-tpch-data.sh -h.

Note 2: The data will be generated under the tpch-data/ directory with the suffix .tbl. The total file size is about 1000GB and may need a few minutes to an hour to generate.

Note 3: A standard test data set of 100G is generated by default.

7.3 Create Table

7.3.1 Prepare the doris-cluster.conf File

Before import the script, you need to write the FE’s ip port and other information in the doris-cluster.conf file.

The file is located under ${DORIS_HOME}/tools/tpch-tools/conf/ .

The content of the file includes FE's ip, HTTP port, user name, password and the DB name of the data to be imported:

# 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'

Execute the Following Script to Generate and Create TPC-H Table

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

Or copy the table creation statement in create-tpch-tables.sql and excute it in Doris.

7.4 Import Data

Please perform data import with the following command:

sh bin/load-tpch-data.sh

7.5 Check Imported Data

Execute the following SQL statement to check that the imported data is consistent with the above data.

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 Query Test

7.6.1 Executing Query Scripts

Execute the above test SQL or execute the following command

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

7.6.2 Single SQL Execution

The following is the SQL statement used in the test, you can also get the latest SQL from the code base.

--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;