TPC-H (1999)

A popular benchmark which models the internal data warehouse of a wholesale supplier. The data is stored into a 3rd normal form representation, requiring lots of joins at query runtime. Despite its age and its unrealistic assumption that the data is uniformly and independently distributed, TPC-H remains the most popular OLAP benchmark to date.

References

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

Data Generation and Import

First, checkout the TPC-H repository and compile the data generator:

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

Then, generate the data. Parameter -s specifies the scale factor. For example, with -s 100, 600 million rows are generated for table 'lineitem'.

./dbgen -s 100

Detailed table sizes with scale factor 100:

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	600.00.00	26.69 GB

(Compressed sizes in ClickHouse are taken from system.tables.total_bytes and based on below table definitions.)

Now create tables in ClickHouse.

We stick as closely as possible to the rules of the TPC-H specification:

Primary keys are created only for the columns mentioned in section 1.4.2.2 of the specification.
Substitution parameters were replaced by the values for query validation in sections 2.1.x.4 of the specification.
As per section 1.4.2.1, the table definitions do not use the optional NOT NULL constraints, even if dbgen generates them by default. The performance of SELECT queries in ClickHouse is not affected by the presence or absence of NOT NULL constraints.
As per section 1.3.1, we use ClickHouse's native datatypes (e.g. Int32, String) to implement the abstract datatypes mentioned in the specification (e.g. Identifier, Variable text, size N). The only effect of this is better readability, the SQL-92 datatypes generated by dbgen (e.g. INTEGER, VARCHAR(40)) would also work in ClickHouse.

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);
-- The following is an alternative order key which is not compliant with the official TPC-H rules but recommended by sec. 4.5 in
-- "Quantifying TPC-H Choke Points and Their Optimizations":
-- 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);
-- The following is an alternative order key which is not compliant with the official TPC-H rules but recommended by sec. 4.5 in
-- "Quantifying TPC-H Choke Points and Their Optimizations":
-- ORDER BY (l_shipdate, l_orderkey, l_linenumber);

The data can be imported as follows:

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

Note

Instead of using tpch-kit and generating the tables by yourself, you can alternatively import the data from a public S3 bucket. Make sure to create empty tables first using above CREATE statements.

-- Scaling factor 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;

-- Scaling factor 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;

Queries

The queries are generated by ./qgen -s <scaling_factor>. Example queries for s = 100:

Correctness

The result of the queries agrees with the official results unless mentioned otherwise. To verify, generate a TPC-H database with scale factor = 1 (dbgen, see above) and compare with the expected results in tpch-kit.

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;

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;

Note

As of October 2024, the query does not work out-of-the box due to correlated subqueries. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/6697

This alternative formulation works and was verified to return the reference results.

WITH MinSupplyCost AS (
    SELECT
        ps_partkey,
        MIN(ps_supplycost) AS min_supplycost
    FROM
        partsupp ps
    JOIN
        supplier s ON ps.ps_suppkey = s.s_suppkey
    JOIN
        nation n ON s.s_nationkey = n.n_nationkey
    JOIN
        region r ON n.n_regionkey = r.r_regionkey
    WHERE
        r.r_name = 'EUROPE'
    GROUP BY
        ps_partkey
)
SELECT
    s.s_acctbal,
    s.s_name,
    n.n_name,
    p.p_partkey,
    p.p_mfgr,
    s.s_address,
    s.s_phone,
    s.s_comment
FROM
    part p
JOIN
    partsupp ps ON p.p_partkey = ps.ps_partkey
JOIN
    supplier s ON s.s_suppkey = ps.ps_suppkey
JOIN
    nation n ON s.s_nationkey = n.n_nationkey
JOIN
    region r ON n.n_regionkey = r.r_regionkey
JOIN
    MinSupplyCost msc ON ps.ps_partkey = msc.ps_partkey AND ps.ps_supplycost = msc.min_supplycost
WHERE
    p.p_size = 15
    AND p.p_type LIKE '%BRASS'
    AND r.r_name = 'EUROPE'
ORDER BY
    s.s_acctbal DESC,
    n.n_name,
    s.s_name,
    p.p_partkey;

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;

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;

Note

As of October 2024, the query does not work out-of-the box due to correlated subqueries. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/6697

This alternative formulation works and was verified to return the reference results.

WITH ValidLineItems AS (
    SELECT
        l_orderkey
    FROM
        lineitem
    WHERE
        l_commitdate < l_receiptdate
    GROUP BY
        l_orderkey
)
SELECT
    o.o_orderpriority,
    COUNT(*) AS order_count
FROM
    orders o
JOIN
    ValidLineItems vli ON o.o_orderkey = vli.l_orderkey
WHERE
    o.o_orderdate >= DATE '1993-07-01'
    AND o.o_orderdate < DATE '1993-07-01' + INTERVAL '3' MONTH
GROUP BY
    o.o_orderpriority
ORDER BY
    o.o_orderpriority;

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;

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;

Note

As of October 2024, the query does not work out-of-the box due to a bug with Decimal addition. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/70136

This alternative formulation works and was verified to return the reference results.

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;

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;

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;

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)
    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;

Note

As of October 2024, the query does not work out-of-the box due to correlated subqueries. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/6697

This alternative formulation works and was verified to return the reference results.

WITH CustomerOrderCounts AS (
    SELECT
        c.c_custkey,
        count(o.o_orderkey) AS order_count
    FROM
        customer c
    LEFT OUTER JOIN
        orders o ON c.c_custkey = o.o_custkey
        AND o.o_comment NOT LIKE '%special%requests%'
    GROUP BY
        c.c_custkey
)
SELECT
    order_count AS c_count,
    count(*) AS custdist
FROM
    CustomerOrderCounts
GROUP BY
    order_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;

Note

As of October 2024, the view definition does not work out-of-the box. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/70139

This alternative view definition does work:

CREATE VIEW revenue0 AS
    SELECT
        l_suppkey AS supplier_no,
        sum(l_extendedprice * (1 - l_discount)) AS total_revenue
    FROM
        lineitem
    WHERE
        l_shipdate >= DATE '1996-01-01'
        AND l_shipdate < DATE '1996-01-01' + INTERVAL '3' MONTH
    GROUP BY
        l_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
    );

Note

As of October 2024, the query does not work out-of-the box due to correlated subqueries. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/6697

This alternative formulation works and was verified to return the reference results.

WITH AvgQuantity AS (
    SELECT
        l_partkey,
        AVG(l_quantity) * 0.2 AS avg_quantity
    FROM
        lineitem
    GROUP BY
        l_partkey
)
SELECT
    SUM(l.l_extendedprice) / 7.0 AS avg_yearly
FROM
    lineitem l
JOIN
    part p ON p.p_partkey = l.l_partkey
JOIN
    AvgQuantity aq ON l.l_partkey = aq.l_partkey
WHERE
    p.p_brand = 'Brand#23'
    AND p.p_container = 'MED BOX'
    AND l.l_quantity < aq.avg_quantity;

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;

Note

As of October 2024, the query does not work out-of-the box due to correlated subqueries. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/6697

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;

Note

As of October 2024, the query does not work out-of-the box due to correlated subqueries. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/6697

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;

TPC-H (1999)

Data Generation and Import​

Queries​

Data Generation and Import

Queries