TPC-H Benchmark

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 100G 测试集上的性能表现。

注1：包括 TPC-H 在内的标准测试集通常和实际业务场景差距较大，并且部分测试会针对测试集进行参数调优。所以标准测试集的测试结果仅能反映数据库在特定场景下的性能表现。建议用户使用实际业务数据进行进一步的测试。

注2：本文档涉及的操作都在 CentOS 7.x 上进行测试。

在 TPC-H 标准测试数据集上的 22 个查询上，我们基于 Apache Doris 1.2.0-rc01， Apache Doris 1.1.3 及 Apache Doris 0.15.0 RC04 版本进行了对别测试， Apache Doris 1.2.0-rc01上相对 Apache Doris 1.1.3 整体性能提升了将近 3 倍，相对于 Apache Doris 0.15.0 RC04 ,性能提升了将近 11 倍 。

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	Intel Xeon(Cascade Lake) Platinum 8269CY 16核 (2.5 GHz/3.2 GHz)
内存	64G
网络带宽	5Gbps
磁盘	ESSD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：CentOS 7.8
• Doris 软件版本： Apache Doris 1.2.0-rc01、 Apache Doris 1.1.3 、 Apache Doris 0.15.0 RC04
• JDK：openjdk version "11.0.14" 2022-01-18

3. 测试数据量

整个测试模拟生成 TPCH 100G 的数据分别导入到 Apache Doris 1.2.0-rc01， Apache Doris 1.1.3 及 Apache Doris 0.15.0 RC04 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	导入后大小	备注
REGION	5	400KB	区域表
NATION	25	7.714 KB	国家表
SUPPLIER	100万	85.528 MB	供应商表
PART	2000万	752.330 MB	零部件表
PARTSUPP	8000万	4.375 GB	零部件供应表
CUSTOMER	1500万	1.317 GB	客户表
ORDERS	1.5亿	6.301 GB	订单表
LINEITEM	6亿	20.882 GB	订单明细表

4. 测试SQL

TPCH 22 个测试查询语句 ： TPCH-Query-SQL

注意：

以上 SQL 中的以下四个参数在 Apache Doris 0.15.0 RC04 中不存在，在执行的时候，去掉：

1. enable_vectorized_engine=true,
2. batch_size=4096,
3. disable_join_reorder=false
4. enable_projection=true

5. 测试结果

这里我们使用 Apache Doris 1.2.0-rc01， Apache Doris 1.1.3 及 Apache Doris 0.15.0 RC04 版本进行对比测试，测试结果如下：

Query	Apache Doris 1.2.0-rc01 (s)	Apache Doris 1.1.3 (s)	Apache Doris 0.15.0 RC04 (s)
Q1	2.12	3.75	28.63
Q2	0.20	4.22	7.88
Q3	0.62	2.64	9.39
Q4	0.61	1.5	9.3
Q5	1.05	2.15	4.11
Q6	0.08	0.19	0.43
Q7	0.58	1.04	1.61
Q8	0.72	1.75	50.35
Q9	3.61	7.94	16.34
Q10	1.26	1.41	5.21
Q11	0.15	0.35	1.72
Q12	0.21	0.57	5.39
Q13	2.62	8.15	20.88
Q14	0.16	0.3
Q15	0.30	0.66	1.86
Q16	0.38	0.79	1.32
Q17	0.65	1.51	26.67
Q18	2.28	3.364	11.77
Q19	0.20	0.829	1.71
Q20	0.21	2.77	5.2
Q21	1.17	4.47	10.34
Q22	0.46	0.9	3.22
合计	19.64	51.253	223.33

结果说明

• 测试结果对应的数据集为scale 100, 约6亿条。
• 测试环境配置为用户常用配置，云服务器4台，16核 64G SSD，1 FE 3 BE 部署。
• 选用用户常见配置测试以降低用户选型评估成本，但整个测试过程中不会消耗如此多的硬件资源。
• Apache Doris 0.15 RC04 在 TPC-H 测试中 Q14 执行失败，无法完成查询。

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 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 gen-tpch-data.sh

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100GB。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='tpch1'

7.3.2 执行以下脚本生成创建 TPC-H 表

sh create-tpch-tables.sh

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 ./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是一致。

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

./run-tpch-queries.sh

注意：

1. 目前Doris的查询优化器和统计信息功能还不完善，所以我们在TPC-H中重写了一些查询以适应Doris的执行框架，但不影响结果的正确性

2. Doris 新的查询优化器将在后续的版本中发布

3. 执行查询之前设置 set mem_exec_limit=8G

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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=false) */
    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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=1, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
    s_acctbal,
    s_name,
    n_name,
    p_partkey,
    p_mfgr,
    s_address,
    s_phone,
    s_comment
from
    partsupp join
    (
        select
            ps_partkey as a_partkey,
            min(ps_supplycost) as a_min
        from
            partsupp,
            part,
            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'
            and p_size = 15
            and p_type like '%BRASS'
        group by a_partkey
    ) A on ps_partkey = a_partkey and ps_supplycost=a_min ,
    part,
    supplier,
    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'

order by
    s_acctbal desc,
    n_name,
    s_name,
    p_partkey
limit 100;

--Q3
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true, runtime_filter_wait_time_ms=10000) */
    l_orderkey,
    sum(l_extendedprice * (1 - l_discount)) as revenue,
    o_orderdate,
    o_shippriority
from
    (
        select l_orderkey, l_extendedprice, l_discount, o_orderdate, o_shippriority, o_custkey from
        lineitem join orders
        where l_orderkey = o_orderkey
        and o_orderdate < date '1995-03-15'
        and l_shipdate > date '1995-03-15'
    ) t1 join customer c 
    on c.c_custkey = t1.o_custkey
    where c_mktsegment = 'BUILDING'
group by
    l_orderkey,
    o_orderdate,
    o_shippriority
order by
    revenue desc,
    o_orderdate
limit 10;

--Q4
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=4, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
    o_orderpriority,
    count(*) as order_count
from
    (
        select
            *
        from
            lineitem
        where l_commitdate < l_receiptdate
    ) t1
    right semi join orders
    on t1.l_orderkey = o_orderkey
where
    o_orderdate >= date '1993-07-01'
    and o_orderdate < date '1993-07-01' + interval '3' month
group by
    o_orderpriority
order by
    o_orderpriority;

--Q5
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=true) */
    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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=1, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=true) */
    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 /*+SET_VAR(exec_mem_limit=458589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=true) */
    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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
    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
            lineitem,
            orders,
            customer,
            supplier,
            part,
            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/*+SET_VAR(exec_mem_limit=37179869184, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=true, enable_remove_no_conjuncts_runtime_filter_policy=true, runtime_filter_wait_time_ms=100000) */
    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
            lineitem join orders on o_orderkey = l_orderkey
            join[shuffle] part on p_partkey = l_partkey
            join[shuffle] partsupp on ps_partkey = l_partkey
            join[shuffle] supplier on s_suppkey = l_suppkey
            join[broadcast] nation on s_nationkey = n_nationkey
        where
            ps_suppkey = l_suppkey and 
            p_name like '%green%'
    ) as profit
group by
    nation,
    o_year
order by
    nation,
    o_year desc;

--Q10

select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=4, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=false, enable_projection=true) */
    c_custkey,
    c_name,
    sum(t1.l_extendedprice * (1 - t1.l_discount)) as revenue,
    c_acctbal,
    n_name,
    c_address,
    c_phone,
    c_comment
from
    customer,
    (
        select o_custkey,l_extendedprice,l_discount from lineitem, orders
        where 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'
    ) t1,
    nation
where
    c_custkey = t1.o_custkey
    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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
    ps_partkey,
    sum(ps_supplycost * ps_availqty) as value
from
    partsupp,
    (
    select s_suppkey
    from supplier, nation
    where s_nationkey = n_nationkey and n_name = 'GERMANY'
    ) B
where
    ps_suppkey = B.s_suppkey
group by
    ps_partkey having
        sum(ps_supplycost * ps_availqty) > (
            select
                sum(ps_supplycost * ps_availqty) * 0.000002
            from
                partsupp,
                (select s_suppkey
                 from supplier, nation
                 where s_nationkey = n_nationkey and n_name = 'GERMANY'
                ) A
            where
                ps_suppkey = A.s_suppkey
        )
order by
    value desc;

--Q12

select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
    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 /*+SET_VAR(exec_mem_limit=45899345920, parallel_fragment_exec_instance_num=16, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
    c_count,
    count(*) as custdist
from
    (
        select
            c_custkey,
            count(o_orderkey) as c_count
        from
            orders right outer join customer 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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true, runtime_filter_mode=OFF) */
    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
    part,
    lineitem
where
    l_partkey = p_partkey
    and l_shipdate >= date '1995-09-01'
    and l_shipdate < date '1995-09-01' + interval '1' month;

--Q15
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
    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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=8, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
    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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=1, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=true, enable_projection=true) */
    sum(l_extendedprice) / 7.0 as avg_yearly
from
    lineitem join [broadcast]
    part p1 on p1.p_partkey = l_partkey
where
    p1.p_brand = 'Brand#23'
    and p1.p_container = 'MED BOX'
    and l_quantity < (
        select
            0.2 * avg(l_quantity)
        from
            lineitem join [broadcast]
            part p2 on p2.p_partkey = l_partkey
        where
            l_partkey = p1.p_partkey
            and p2.p_brand = 'Brand#23'
            and p2.p_container = 'MED BOX'
    );

--Q18

select /*+SET_VAR(exec_mem_limit=45899345920, parallel_fragment_exec_instance_num=4, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
    c_name,
    c_custkey,
    t3.o_orderkey,
    t3.o_orderdate,
    t3.o_totalprice,
    sum(t3.l_quantity)
from
customer join
(
  select * from
  lineitem join
  (
    select * from
    orders left semi join
    (
      select
          l_orderkey
      from
          lineitem
      group by
          l_orderkey having sum(l_quantity) > 300
    ) t1
    on o_orderkey = t1.l_orderkey
  ) t2
  on t2.o_orderkey = l_orderkey
) t3
on c_custkey = t3.o_custkey
group by
    c_name,
    c_custkey,
    t3.o_orderkey,
    t3.o_orderdate,
    t3.o_totalprice
order by
    t3.o_totalprice desc,
    t3.o_orderdate
limit 100;

--Q19

select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=false, enable_cost_based_join_reorder=false, enable_projection=true) */
    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 /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=2, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true, runtime_bloom_filter_size=551943) */
s_name, s_address from
supplier left semi join
(
    select * from
    (
        select l_partkey,l_suppkey, 0.5 * sum(l_quantity) as l_q
        from lineitem
        where l_shipdate >= date '1994-01-01'
            and l_shipdate < date '1994-01-01' + interval '1' year
        group by l_partkey,l_suppkey
    ) t2 join
    (
        select ps_partkey, ps_suppkey, ps_availqty
        from partsupp left semi join part
        on ps_partkey = p_partkey and p_name like 'forest%'
    ) t1
    on t2.l_partkey = t1.ps_partkey and t2.l_suppkey = t1.ps_suppkey
    and t1.ps_availqty > t2.l_q
) t3
on s_suppkey = t3.ps_suppkey
join nation
where s_nationkey = n_nationkey
    and n_name = 'CANADA'
order by s_name;

--Q21
select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=4, enable_vectorized_engine=true, batch_size=4096, disable_join_reorder=true, enable_cost_based_join_reorder=true, enable_projection=true) */
s_name, count(*) as numwait
from
  lineitem l2 right semi join
  (
    select * from
    lineitem l3 right anti join
    (
      select * from
      orders join lineitem l1 on l1.l_orderkey = o_orderkey and o_orderstatus = 'F'
      join
      (
        select * from
        supplier join nation
        where s_nationkey = n_nationkey
          and n_name = 'SAUDI ARABIA'
      ) t1
      where t1.s_suppkey = l1.l_suppkey and l1.l_receiptdate > l1.l_commitdate
    ) t2
    on l3.l_orderkey = t2.l_orderkey and l3.l_suppkey <> t2.l_suppkey  and l3.l_receiptdate > l3.l_commitdate
  ) t3
  on l2.l_orderkey = t3.l_orderkey and l2.l_suppkey <> t3.l_suppkey 

group by
    t3.s_name
order by
    numwait desc,
    t3.s_name
limit 100;

--Q22

with tmp as (select
                    avg(c_acctbal) as av
                from
                    customer
                where
                    c_acctbal > 0.00
                    and substring(c_phone, 1, 2) in
                        ('13', '31', '23', '29', '30', '18', '17'))

select /*+SET_VAR(exec_mem_limit=8589934592, parallel_fragment_exec_instance_num=4,runtime_bloom_filter_size=4194304) */
    cntrycode,
    count(*) as numcust,
    sum(c_acctbal) as totacctbal
from
    (
    select
            substring(c_phone, 1, 2) as cntrycode,
            c_acctbal
        from
             orders right anti join customer c on  o_custkey = c.c_custkey join tmp on c.c_acctbal > tmp.av
        where
            substring(c_phone, 1, 2) in
                ('13', '31', '23', '29', '30', '18', '17')
    ) as custsale
group by
    cntrycode
order by
    cntrycode;