TPC-H (1999)

卸売サプライヤーの社内データウェアハウスをモデル化した、広く用いられているベンチマークです。 データは第 3 正規形で表現されており、クエリ実行時に多数の JOIN が必要になります。 データが一様かつ互いに独立に分布しているという非現実的な前提と、ベンチマーク自体の古さにもかかわらず、TPC-H は現在も最も広く利用されている OLAP ベンチマークです。

参考文献

• TPC-H
• New TPC Benchmarks for Decision Support and Web Commerce (Poess et. al., 2000)
• TPC-H Analyzed: Hidden Messages and Lessons Learned from an Influential Benchmark (Boncz et. al.), 2013
• Quantifying TPC-H Choke Points and Their Optimizations (Dresseler et. al.), 2020

データ生成とインポート

まず、TPC-H リポジトリを取得し、データ生成ツールをコンパイルします。

git clone https://github.com/gregrahn/tpch-kit.git
cd tpch-kit/dbgen
make

次にデータを生成します。パラメータ -s はスケール係数を指定します。例えば -s 100 の場合、テーブル'lineitem'に 6 億行のデータが生成されます。

./dbgen -s 100

スケールファクター 100 の場合の詳細なテーブルサイズ:

Table	size (in rows)	size (compressed in ClickHouse)
nation	25	2 kB
region	5	1 kB
part	20.000.000	895 MB
supplier	1.000.000	75 MB
partsupp	80.000.000	4.37 GB
customer	15.000.000	1.19 GB
orders	150.000.000	6.15 GB
lineitem	600.000.000	26.69 GB

（ClickHouse における圧縮後のサイズは system.tables.total_bytes から取得したもので、以下のテーブル定義に基づきます。）

次に、ClickHouse にテーブルを作成します。

TPC-H 仕様のルールにできるだけ忠実に従います:

• 主キーは、仕様のセクション 1.4.2.2 で言及されているカラムに対してのみ作成します。
• 置換パラメータは、仕様のセクション 2.1.x.4 にあるクエリ検証用の値に置き換えています。
• セクション 1.4.2.1 に従い、テーブル定義ではオプションの NOT NULL 制約は使用しません。dbgen がデフォルトでそれらを生成する場合でも同様です。 ClickHouse における SELECT クエリのパフォーマンスは、NOT NULL 制約の有無によって影響を受けません。
• セクション 1.3.1 に従い、抽象的なデータ型（例: Identifier, Variable text, size N）を実装するために、ClickHouse ネイティブのデータ型（例: Int32, String）を使用します。 これにより読みやすさが向上するだけであり、dbgen によって生成される SQL-92 のデータ型（例: INTEGER, VARCHAR(40)）も ClickHouse で問題なく動作します。

CREATE TABLE nation (
    n_nationkey  Int32,
    n_name       String,
    n_regionkey  Int32,
    n_comment    String)
ORDER BY (n_nationkey);

CREATE TABLE region (
    r_regionkey  Int32,
    r_name       String,
    r_comment    String)
ORDER BY (r_regionkey);

CREATE TABLE part (
    p_partkey     Int32,
    p_name        String,
    p_mfgr        String,
    p_brand       String,
    p_type        String,
    p_size        Int32,
    p_container   String,
    p_retailprice Decimal(15,2),
    p_comment     String)
ORDER BY (p_partkey);

CREATE TABLE supplier (
    s_suppkey     Int32,
    s_name        String,
    s_address     String,
    s_nationkey   Int32,
    s_phone       String,
    s_acctbal     Decimal(15,2),
    s_comment     String)
ORDER BY (s_suppkey);

CREATE TABLE partsupp (
    ps_partkey     Int32,
    ps_suppkey     Int32,
    ps_availqty    Int32,
    ps_supplycost  Decimal(15,2),
    ps_comment     String)
ORDER BY (ps_partkey, ps_suppkey);

CREATE TABLE customer (
    c_custkey     Int32,
    c_name        String,
    c_address     String,
    c_nationkey   Int32,
    c_phone       String,
    c_acctbal     Decimal(15,2),
    c_mktsegment  String,
    c_comment     String)
ORDER BY (c_custkey);

CREATE TABLE orders  (
    o_orderkey       Int32,
    o_custkey        Int32,
    o_orderstatus    String,
    o_totalprice     Decimal(15,2),
    o_orderdate      Date,
    o_orderpriority  String,
    o_clerk          String,
    o_shippriority   Int32,
    o_comment        String)
ORDER BY (o_orderkey);
-- 以下は公式TPC-H規則には準拠していない代替のソートキーですが、
-- 「Quantifying TPC-H Choke Points and Their Optimizations」のセクション4.5で推奨されています:
-- ORDER BY (o_orderdate, o_orderkey);

CREATE TABLE lineitem (
    l_orderkey       Int32,
    l_partkey        Int32,
    l_suppkey        Int32,
    l_linenumber     Int32,
    l_quantity       Decimal(15,2),
    l_extendedprice  Decimal(15,2),
    l_discount       Decimal(15,2),
    l_tax            Decimal(15,2),
    l_returnflag     String,
    l_linestatus     String,
    l_shipdate       Date,
    l_commitdate     Date,
    l_receiptdate    Date,
    l_shipinstruct   String,
    l_shipmode       String,
    l_comment        String)
ORDER BY (l_orderkey, l_linenumber);
-- 以下は公式TPC-H規則には準拠していない代替のソートキーですが、
-- 「Quantifying TPC-H Choke Points and Their Optimizations」のセクション4.5で推奨されています:
-- ORDER BY (l_shipdate, l_orderkey, l_linenumber);

データは次の手順でインポートできます。

clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO nation FORMAT CSV" < nation.tbl
clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO region FORMAT CSV" < region.tbl
clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO part FORMAT CSV" < part.tbl
clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO supplier FORMAT CSV" < supplier.tbl
clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO partsupp FORMAT CSV" < partsupp.tbl
clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO customer FORMAT CSV" < customer.tbl
clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO orders FORMAT CSV" < orders.tbl
clickhouse-client --format_csv_delimiter '|' --query "INSERT INTO lineitem FORMAT CSV" < lineitem.tbl

注記

tpch-kit を使用して自分でテーブルを生成する代わりに、公開 S3 バケットからデータをインポートすることもできます。必ず、上記の CREATE 文を使って、先に空のテーブルを作成してください。

-- スケーリングファクター 1
INSERT INTO nation SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/nation.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO region SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/region.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO part SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/part.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO supplier SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/supplier.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO partsupp SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/partsupp.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO customer SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/customer.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO orders SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/orders.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO lineitem SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/1/lineitem.tbl', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;

-- スケーリングファクター 100
INSERT INTO nation SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/nation.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO region SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/region.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO part SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/part.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO supplier SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/supplier.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO partsupp SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/partsupp.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO customer SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/customer.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO orders SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/orders.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;
INSERT INTO lineitem SELECT * FROM s3('https://clickhouse-datasets.s3.amazonaws.com/h/100/lineitem.tbl.gz', NOSIGN, CSV) SETTINGS format_csv_delimiter = '|', input_format_defaults_for_omitted_fields = 1, input_format_csv_empty_as_default = 1;

クエリ

注記

SQL 標準に従った正しい結果を得るために、join_use_nulls の設定を有効にする必要があります。

注記

一部の TPC-H クエリは、v25.8 以降で利用可能な相関サブクエリを使用します。 これらのクエリを実行するには、少なくともこのバージョン以降の ClickHouse を使用してください。

ClickHouse バージョン 25.5、25.6、25.7 では、追加で次の設定を行う必要があります：

SET allow_experimental_correlated_subqueries = 1;

クエリは ./qgen -s <scaling_factor> によって生成されます。s = 100 の場合のサンプルクエリを以下に示します。

正確性

特に断りがない限り、クエリ結果は公式の結果と一致します。検証するには、スケールファクタ = 1 の TPC-H データベース（dbgen、前述）を生成し、tpch-kit における期待される結果と比較してください。

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;

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 0.06 - 0.01 AND 0.06 + 0.01
    AND l_quantity < 24;

注記

2025年2月時点では、Decimal 型の加算に関するバグにより、このクエリはそのままでは動作しません。対応する Issue: https://github.com/ClickHouse/ClickHouse/issues/70136

以下の代替クエリは正常に動作し、リファレンス結果が返ることを確認済みです。

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 0.05 AND 0.07
    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;

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) * 0.0001
        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

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;

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;

DROP VIEW revenue0;

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
        substring(c_phone FROM 1 for 2) AS cntrycode,
        c_acctbal
    FROM
        customer
    WHERE
        substring(c_phone FROM 1 for 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 FROM 1 for 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;