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TPC-H ベンチマーク

TPC-H は、トランザクション処理性能評議会 (TPC) によって開発された意思決定支援ベンチマークです。これは、ビジネス指向のアドホッククエリと同時データ修正のスイートで構成されています。TPC-H は、実際の生産環境に基づいてモデルを構築し、販売システムのデータウェアハウスをシミュレートするために使用されます。このテストでは、データサイズが 1 GB から 3 TB の 8 つのテーブルを使用します。合計 22 のクエリがテストされ、主な性能指標は各クエリの応答時間であり、クエリが送信されてから結果が返されるまでの時間です。

1. テスト結論

22 のクエリに対して TPC-H 100 GB データセットでテストを実施しました。以下の図はテスト結果を示しています。 comparison クエリには StarRocks ネイティブストレージと StarRocks Hive 外部テーブルが使用されます。同じ ORC 形式で保存され、ZLIB 形式で圧縮されたデータのコピーを StarRocks Hive 外部テーブルと Trino を使用してクエリします。StarRocks ネイティブストレージのクエリ応答時間は 21 秒、StarRocks Hive 外部テーブルは 92 秒、Trino は 307 秒です。

2. テスト準備

2.1 ハードウェア環境

マシン3 クラウドホスト
CPU16 コア
メモリ64 GB
ネットワーク帯域幅5 Gbit/s
ディスクシステムディスク: ESSD 40 GB データディスク: ESSD 100 GB

2.2 ソフトウェア環境

  • カーネルバージョン: Linux 3.10.0-1127.13.1.el7.x86_64
  • OS バージョン: CentOS Linux リリース 7.8.2003
  • ソフトウェアバージョン: StarRocks 2.1, Trino-357, Hive-3.1.2

StarRocks FE は、BEs と個別にデプロイすることも、ハイブリッドデプロイすることも可能で、テスト結果には影響しません。

3. テストデータと結果

3.1 テストデータ

テストでは TPC-H 100 GB データセットを使用します。

テーブルレコード数StarRocks での圧縮後のデータサイズ
customer1500 万2.4 GB
lineitem6 億75 GB
nation252.2 KB
orders1 億 5000 万16 GB
part2 億2.4 GB
partsupp8 億11.6 GB
region5389 B
supplier100 万0.14 GB

3.2 テスト SQL

--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'
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, partsupp, 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'
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;

--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;

--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 '1993-12-01'
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;

--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) * 0.0001000000
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;

--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;

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

3.3 テスト結果

クエリStarRocks ネイティブ (ms)StarRocks-Hive 外部 (ms)Trino (ms)
q11291534914350
q22579404075
q369025857615
q452925149385
q51142584415350
q611529364045
q7143551288760
q885559899535
q93028550727310
q10138136546560
q112656912090
q1238738277635
q132165373314530
q1418438244355
q1535473218975
q1624010292265
q17753501146405
q182909703230975
q1970239057315
q20963462312500
q218701001658340
q225459915605
合計2106092449307975

4. テスト手順

4.1 StarRocks 内部テーブル

4.1.1 データ生成

  1. tpch-poc ツールキットをダウンロードしてコンパイルします。

    wget https://starrocks-public.oss-cn-zhangjiakou.aliyuncs.com/tpch-poc-0.1.2.zip
    unzip tpch-poc-0.1.2.zip
    cd tpch-poc-0.1.2
    cd benchmark

    関連ツールは bin ディレクトリに保存されており、ホームディレクトリで操作を開始できます。

  2. データを生成します。

    # `data_100` ディレクトリに 100 GB のデータを生成します。
    ./bin/gen_data/gen-tpch.sh 100 data_100

4.1.2 テーブルスキーマの作成

  1. 設定ファイル conf/starrocks.conf を修正し、クラスタのアドレスを指定します。

    # StarRocks 設定
    mysql_host: 192.168.1.1
    mysql_port: 9030
    mysql_user: root
    mysql_password:
    database: tpch

    # クラスタポート
    http_port: 8030
    be_heartbeat_port: 9050
    broker_port: 8000

    # parallel_fragment_exec_instance_num は並行性を指定します。
    # 推奨される並行性はクラスタの CPU コア数の半分です。以下の例では 8 を使用しています。
    parallel_num: 8
  2. 次のスクリプトを実行してテーブルを作成します。

    # 100GB データ用のテーブルを作成します
    ./bin/create_db_table.sh ddl_100

    テーブルが作成され、デフォルトのバケット数が指定されています。以前のテーブルを削除し、クラスタサイズとノード構成に基づいてバケット数を再計画することができます。これにより、より良いテスト結果が得られます。

    # customer という名前のテーブルを作成します。
    drop table if exists customer;
    CREATE TABLE customer (
    c_custkey int NOT NULL,
    c_name VARCHAR(25) NOT NULL,
    c_address VARCHAR(40) NOT NULL,
    c_nationkey int NOT NULL,
    c_phone VARCHAR(15) NOT NULL,
    c_acctbal decimal(15, 2) NOT NULL,
    c_mktsegment VARCHAR(10) NOT NULL,
    c_comment VARCHAR(117) NOT NULL
    )ENGINE=OLAP
    DUPLICATE KEY(`c_custkey`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`c_custkey`) BUCKETS 24
    PROPERTIES (
    "replication_num" = "1",
    "in_memory" = "false",
    "storage_format" = "DEFAULT"
    );
    # lineitem という名前のテーブルを作成します。
    drop table if exists lineitem;
    CREATE TABLE lineitem (
    l_shipdate DATE NOT NULL,
    l_orderkey int NOT NULL,
    l_linenumber int not null,
    l_partkey int NOT NULL,
    l_suppkey int 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 VARCHAR(1) NOT NULL,
    l_linestatus VARCHAR(1) NOT NULL,
    l_commitdate DATE NOT NULL,
    l_receiptdate DATE NOT NULL,
    l_shipinstruct VARCHAR(25) NOT NULL,
    l_shipmode VARCHAR(10) NOT NULL,
    l_comment VARCHAR(44) NOT NULL
    )ENGINE=OLAP
    DUPLICATE KEY(`l_shipdate`, `l_orderkey`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`l_orderkey`) BUCKETS 96
    PROPERTIES (
    "replication_num" = "1",
    "in_memory" = "false",
    "storage_format" = "DEFAULT",
    "colocate_with" = "tpch2"
    );
    # nation という名前のテーブルを作成します。
    drop table if exists nation;
    CREATE TABLE `nation` (
    `n_nationkey` int(11) NOT NULL,
    `n_name` varchar(25) NOT NULL,
    `n_regionkey` int(11) NOT NULL,
    `n_comment` varchar(152) NULL
    ) ENGINE=OLAP
    DUPLICATE KEY(`N_NATIONKEY`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`N_NATIONKEY`) BUCKETS 1
    PROPERTIES (
    "replication_num" = "3",
    "in_memory" = "false",
    "storage_format" = "DEFAULT"
    );
    # orders という名前のテーブルを作成します。
    drop table if exists orders;
    CREATE TABLE orders (
    o_orderkey int NOT NULL,
    o_orderdate DATE NOT NULL,
    o_custkey int NOT NULL,
    o_orderstatus VARCHAR(1) NOT NULL,
    o_totalprice decimal(15, 2) NOT NULL,
    o_orderpriority VARCHAR(15) NOT NULL,
    o_clerk VARCHAR(15) NOT NULL,
    o_shippriority int NOT NULL,
    o_comment VARCHAR(79) NOT NULL
    )ENGINE=OLAP
    DUPLICATE KEY(`o_orderkey`, `o_orderdate`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`o_orderkey`) BUCKETS 96
    PROPERTIES (
    "replication_num" = "1",
    "in_memory" = "false",
    "storage_format" = "DEFAULT",
    "colocate_with" = "tpch2"
    );
    # part という名前のテーブルを作成します。
    drop table if exists part;
    CREATE TABLE part (
    p_partkey int NOT NULL,
    p_name VARCHAR(55) NOT NULL,
    p_mfgr VARCHAR(25) NOT NULL,
    p_brand VARCHAR(10) NOT NULL,
    p_type VARCHAR(25) NOT NULL,
    p_size int NOT NULL,
    p_container VARCHAR(10) NOT NULL,
    p_retailprice decimal(15, 2) NOT NULL,
    p_comment VARCHAR(23) NOT NULL
    )ENGINE=OLAP
    DUPLICATE KEY(`p_partkey`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`p_partkey`) BUCKETS 24
    PROPERTIES (
    "replication_num" = "1",
    "in_memory" = "false",
    "storage_format" = "DEFAULT",
    "colocate_with" = "tpch2p"
    );
    # partsupp という名前のテーブルを作成します。
    drop table if exists partsupp;
    CREATE TABLE partsupp (
    ps_partkey int NOT NULL,
    ps_suppkey int NOT NULL,
    ps_availqty int NOT NULL,
    ps_supplycost decimal(15, 2) NOT NULL,
    ps_comment VARCHAR(199) NOT NULL
    )ENGINE=OLAP
    DUPLICATE KEY(`ps_partkey`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`ps_partkey`) BUCKETS 24
    PROPERTIES (
    "replication_num" = "1",
    "in_memory" = "false",
    "storage_format" = "DEFAULT",
    "colocate_with" = "tpch2p"
    );
    # region という名前のテーブルを作成します。
    drop table if exists region;
    CREATE TABLE region (
    r_regionkey int NOT NULL,
    r_name VARCHAR(25) NOT NULL,
    r_comment VARCHAR(152)
    )ENGINE=OLAP
    DUPLICATE KEY(`r_regionkey`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`r_regionkey`) BUCKETS 1
    PROPERTIES (
    "replication_num" = "3",
    "in_memory" = "false",
    "storage_format" = "DEFAULT"
    );
    # supplier という名前のテーブルを作成します。
    drop table if exists supplier;
    CREATE TABLE supplier (
    s_suppkey int NOT NULL,
    s_name VARCHAR(25) NOT NULL,
    s_address VARCHAR(40) NOT NULL,
    s_nationkey int NOT NULL,
    s_phone VARCHAR(15) NOT NULL,
    s_acctbal decimal(15, 2) NOT NULL,
    s_comment VARCHAR(101) NOT NULL
    )ENGINE=OLAP
    DUPLICATE KEY(`s_suppkey`)
    COMMENT "OLAP"
    DISTRIBUTED BY HASH(`s_suppkey`) BUCKETS 12
    PROPERTIES (
    "replication_num" = "1",
    "in_memory" = "false",
    "storage_format" = "DEFAULT"
    );
    drop view if exists revenue0;
    create view revenue0 (supplier_no, total_revenue) as
    select
    l_suppkey,
    sum(l_extendedprice * (1 - l_discount))
    from
    lineitem
    where
    l_shipdate >= date '1996-01-01'
    and l_shipdate < date '1996-01-01' + interval '3' month
    group by
    l_suppkey;

4.1.3 データのインポート

./bin/stream_load.sh data_100

4.1.4 統計情報の収集 (オプション)

このステップはオプションです。より良いテスト結果を生成するために、完全な統計情報を収集することをお勧めします。StarRocks クラスタに接続した後、次のコマンドを実行します。

ANALYZE FULL TABLE customer;
ANALYZE FULL TABLE lineitem;
ANALYZE FULL TABLE nation;
ANALYZE FULL TABLE orders;
ANALYZE FULL TABLE part;
ANALYZE FULL TABLE partsupp;
ANALYZE FULL TABLE region;
ANALYZE FULL TABLE supplier;

4.1.5 データのクエリ

./bin/benchmark.sh -p -d tpch

4.2 StarRocks Hive 外部テーブル

4.2.1 テーブルスキーマの作成

Hive でテーブルスキーマを作成します。ストレージ形式は ORC です。

create database tpch_hive_orc;
use tpch_hive_orc;
-- customer という名前のテーブルを作成します。
CREATE TABLE `customer`(
`c_custkey` int,
`c_name` varchar(25),
`c_address` varchar(40),
`c_nationkey` int,
`c_phone` varchar(15),
`c_acctbal` decimal(15,2),
`c_mktsegment` varchar(10),
`c_comment` varchar(117))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/customer';
-- lineitem という名前のテーブルを作成します。
CREATE TABLE `lineitem`(
`l_orderkey` bigint,
`l_partkey` int,
`l_suppkey` int,
`l_linenumber` int,
`l_quantity` decimal(15,2),
`l_extendedprice` decimal(15,2),
`l_discount` decimal(15,2),
`l_tax` decimal(15,2),
`l_returnflag` varchar(1),
`l_linestatus` varchar(1),
`l_shipdate` date,
`l_commitdate` date,
`l_receiptdate` date,
`l_shipinstruct` varchar(25),
`l_shipmode` varchar(10),
`l_comment` varchar(44))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/lineitem';
-- nation という名前のテーブルを作成します。
CREATE TABLE `nation`(
`n_nationkey` int,
`n_name` varchar(25),
`n_regionkey` int,
`n_comment` varchar(152))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/nation';
-- orders という名前のテーブルを作成します。
CREATE TABLE `orders`(
`o_orderkey` bigint,
`o_custkey` int,
`o_orderstatus` varchar(1),
`o_totalprice` decimal(15,2),
`o_orderdate` date,
`o_orderpriority` varchar(15),
`o_clerk` varchar(15),
`o_shippriority` int,
`o_comment` varchar(79))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/orders';
-- part という名前のテーブルを作成します。
CREATE TABLE `part`(
`p_partkey` int,
`p_name` varchar(55),
`p_mfgr` varchar(25),
`p_brand` varchar(10),
`p_type` varchar(25),
`p_size` int,
`p_container` varchar(10),
`p_retailprice` decimal(15,2),
`p_comment` varchar(23))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/part';
-- partsupp という名前のテーブルを作成します。
CREATE TABLE `partsupp`(
`ps_partkey` int,
`ps_suppkey` int,
`ps_availqty` int,
`ps_supplycost` decimal(15,2),
`ps_comment` varchar(199))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/partsupp';
-- region という名前のテーブルを作成します。
CREATE TABLE `region`(
`r_regionkey` int,
`r_name` varchar(25),
`r_comment` varchar(152))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/region';
-- supplier という名前のテーブルを作成します。
CREATE TABLE `supplier`(
`s_suppkey` int,
`s_name` varchar(25),
`s_address` varchar(40),
`s_nationkey` int,
`s_phone` varchar(15),
`s_acctbal` decimal(15,2),
`s_comment` varchar(101))
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
'field.delim'='|',
'serialization.format'='|')
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
'hdfs://emr-header-1.cluster-49146:9000/user/hive/warehouse/tpch_hive_orc.db/supplier';

StarRocks で外部テーブルを作成します。

create database if not exists tpch_sr;
use tpch_sr;
CREATE EXTERNAL RESOURCE "hive_test" PROPERTIES (
"type" = "hive",
"hive.metastore.uris" = "thrift://xx.xx.xx.xx:9083"
);
CREATE EXTERNAL TABLE IF NOT EXISTS nation (
n_nationkey int,
n_name VARCHAR(25),
n_regionkey int,
n_comment varchar(152))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "nation",
"database" = "tpch_hive_orc"
);
CREATE EXTERNAL TABLE IF NOT EXISTS customer (
c_custkey INTEGER,
c_name VARCHAR(25),
c_address VARCHAR(40),
c_nationkey INTEGER,
c_phone VARCHAR(15),
c_acctbal DECIMAL(15,2),
c_mktsegment VARCHAR(10),
c_comment VARCHAR(117))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "customer",
"database" = "tpch_hive_orc"
);
CREATE EXTERNAL TABLE IF NOT EXISTS lineitem (
l_orderkey BIGINT,
l_partkey INTEGER,
l_suppkey INTEGER,
l_linenumber INTEGER,
l_quantity DECIMAL(15,2),
l_extendedprice DECIMAL(15,2),
l_discount DECIMAL(15,2),
l_tax DECIMAL(15,2),
l_returnflag VARCHAR(1),
l_linestatus VARCHAR(1),
l_shipdate DATE,
l_commitdate DATE,
l_receiptdate DATE,
l_shipinstruct VARCHAR(25),
l_shipmode VARCHAR(10),
l_comment VARCHAR(44))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "lineitem",
"database" = "tpch_hive_orc"
);
CREATE EXTERNAL TABLE IF NOT EXISTS orders (
o_orderkey BIGINT,
o_custkey INTEGER,
o_orderstatus VARCHAR(1),
o_totalprice DECIMAL(15,2),
o_orderdate DATE,
o_orderpriority VARCHAR(15),
o_clerk VARCHAR(15),
o_shippriority INTEGER,
o_comment VARCHAR(79))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "orders",
"database" = "tpch_hive_orc"
);
CREATE EXTERNAL TABLE IF NOT EXISTS part (
p_partkey INTEGER,
p_name VARCHAR(55),
p_mfgr VARCHAR(25),
p_brand VARCHAR(10),
p_type VARCHAR(25),
p_size INTEGER,
p_container VARCHAR(10),
p_retailprice DECIMAL(15,2),
p_comment VARCHAR(23))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "part",
"database" = "tpch_hive_orc"
);
CREATE EXTERNAL TABLE IF NOT EXISTS partsupp (
ps_partkey INTEGER,
ps_suppkey INTEGER,
ps_availqty INTEGER,
ps_supplycost DECIMAL(15,2),
ps_comment VARCHAR(199))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "partsupp",
"database" = "tpch_hive_orc"
);
CREATE EXTERNAL TABLE IF NOT EXISTS region (
r_regionkey INTEGER,
r_name VARCHAR(25),
r_comment VARCHAR(152))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "region",
"database" = "tpch_hive_orc"
);
CREATE EXTERNAL TABLE IF NOT EXISTS supplier (
s_suppkey INTEGER,
s_name VARCHAR(25),
s_address VARCHAR(40),
s_nationkey INTEGER,
s_phone VARCHAR(15),
s_acctbal DECIMAL(15,2),
s_comment VARCHAR(101))
ENGINE=hive
properties (
"resource" = "hive_test",
"table" = "supplier",
"database" = "tpch_hive_orc"
);
create view revenue0 (supplier_no, total_revenue) as
select
l_suppkey,
sum(l_extendedprice * (1 - l_discount))
from
lineitem
where
l_shipdate >= date '1996-01-01'
and l_shipdate < date '1996-01-01' + interval '3' month
group by
l_suppkey;

4.2.2 データのインポート

  1. Hive で Hive 外部テーブルを作成します。テーブル形式は CSV です。CSV テストデータを HDFS 上のデータストレージディレクトリにアップロードします。この例では、Hive 外部テーブルの HDFS データストレージパスは /user/tmp/csv/ です。

    create database tpch_hive_csv;
    use tpch_hive_csv;

    -- customer という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `customer`(
    `c_custkey` int,
    `c_name` varchar(25),
    `c_address` varchar(40),
    `c_nationkey` int,
    `c_phone` varchar(15),
    `c_acctbal` double,
    `c_mktsegment` varchar(10),
    `c_comment` varchar(117))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/customer_csv';
    -- lineitem という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `lineitem`(
    `l_orderkey` int,
    `l_partkey` int,
    `l_suppkey` int,
    `l_linenumber` int,
    `l_quantity` double,
    `l_extendedprice` double,
    `l_discount` double,
    `l_tax` double,
    `l_returnflag` varchar(1),
    `l_linestatus` varchar(1),
    `l_shipdate` date,
    `l_commitdate` date,
    `l_receiptdate` date,
    `l_shipinstruct` varchar(25),
    `l_shipmode` varchar(10),
    `l_comment` varchar(44))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/lineitem_csv';
    -- nation という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `nation`(
    `n_nationkey` int,
    `n_name` varchar(25),
    `n_regionkey` int,
    `n_comment` varchar(152))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/nation_csv';
    -- orders という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `orders`(
    `o_orderkey` int,
    `o_custkey` int,
    `o_orderstatus` varchar(1),
    `o_totalprice` double,
    `o_orderdate` date,
    `o_orderpriority` varchar(15),
    `o_clerk` varchar(15),
    `o_shippriority` int,
    `o_comment` varchar(79))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/orders_csv';
    -- part という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `part`(
    `p_partkey` int,
    `p_name` varchar(55),
    `p_mfgr` varchar(25),
    `p_brand` varchar(10),
    `p_type` varchar(25),
    `p_size` int,
    `p_container` varchar(10),
    `p_retailprice` double,
    `p_comment` varchar(23))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/part_csv';
    -- partsupp という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `partsupp`(
    `ps_partkey` int,
    `ps_suppkey` int,
    `ps_availqty` int,
    `ps_supplycost` double,
    `ps_comment` varchar(199))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/partsupp_csv';
    -- region という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `region`(
    `r_regionkey` int,
    `r_name` varchar(25),
    `r_comment` varchar(152))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/region_csv';
    -- supplier という名前の外部テーブルを作成します。
    CREATE EXTERNAL TABLE `supplier`(
    `s_suppkey` int,
    `s_name` varchar(25),
    `s_address` varchar(40),
    `s_nationkey` int,
    `s_phone` varchar(15),
    `s_acctbal` double,
    `s_comment` varchar(101))
    ROW FORMAT SERDE
    'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
    WITH SERDEPROPERTIES (
    'field.delim'='|',
    'serialization.format'='|')
    STORED AS INPUTFORMAT
    'org.apache.hadoop.mapred.TextInputFormat'
    OUTPUTFORMAT
    'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION
    'hdfs://emr-header-1.cluster-49146:9000/user/tmp/csv/supplier_csv';
  2. 各 Hive 外部テーブルの CSV データを ORC 形式の Hive テーブルに転送します。これにより、StarRocks と Trino で ORC 形式の Hive 外部テーブルを作成し、後続のテストを行うことができます。

    use tpch_hive_csv;
    insert into tpch_hive_orc.customer select * from customer;
    insert into tpch_hive_orc.lineitem select * from lineitem;
    insert into tpch_hive_orc.nation select * from nation;
    insert into tpch_hive_orc.orders select * from orders;
    insert into tpch_hive_orc.part select * from part;
    insert into tpch_hive_orc.partsupp select * from partsupp;
    insert into tpch_hive_orc.region select * from region;
    insert into tpch_hive_orc.supplier select * from supplier;

4.2.3 データのクエリ

use tpch_sr;
-- 現在のセッションのシステム変数をクエリします。
show variables;
-- 並行性を 8 に設定します。
set parallel_fragment_exec_instance_num = 8;

--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'
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, partsupp, 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'
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;

--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;

--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 '1993-12-01'
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;

--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) * 0.0001000000
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;

--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;

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