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ClickHouse/docs/en/getting-started/example-datasets/tpch.md
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---
slug: /en/getting-started/example-datasets/tpch
sidebar_label: TPC-H
description: "The TPC-H benchmark data set and queries."
---
# 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](https://www.tpc.org/tpc_documents_current_versions/current_specifications5.asp)
- [New TPC Benchmarks for Decision Support and Web Commerce](https://doi.org/10.1145/369275.369291) (Poess et. al., 2000)
- [TPC-H Analyzed: Hidden Messages and Lessons Learned from an Influential Benchmark](https://doi.org/10.1007/978-3-319-04936-6_5) (Boncz et. al.), 2013
- [Quantifying TPC-H Choke Points and Their Optimizations](https://doi.org/10.14778/3389133.3389138) (Dresseler et. al.), 2020
## Data Generation and Import
First, checkout the TPC-H repository and compile the data generator:
``` bash
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'.
``` bash
./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.
```sql
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:
``` bash
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.
```sql
-- 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](https://github.com/gregrahn/tpch-kit/tree/master/dbgen/answers).
**Q1**
```sql
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**
```sql
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.
```sql
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;
```
::::
**Q3**
```sql
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**
```sql
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.
```sql
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;
```
::::
**Q5**
```sql
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**
```sql
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.
```sql
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**
```sql
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**
```sql
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**
```sql
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**
```sql
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**
```sql
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**
```sql
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**
```sql
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.
```sql
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**
```sql
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**
```sql
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:
```sql
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**
```sql
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**
```sql
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.
```sql
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**
```sql
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**
```sql
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'
);
```
::::note
As of October 2024, the query is extremely slow due to missing join predicate pushdown. Corresponding issue: https://github.com/ClickHouse/ClickHouse/issues/70802
This alternative formulation works and was verified to return the reference results.
```sql
SELECT
sum(l_extendedprice * (1 - l_discount)) AS revenue
FROM
lineitem,
part
WHERE
p_partkey = l_partkey
AND l_shipinstruct = 'DELIVER IN PERSON'
AND l_shipmode IN ('AIR', 'AIR REG')
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
)
OR
(
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
)
OR
(
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
)
)
```
::::
**Q20**
```sql
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**
```sql
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**
```sql
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;
```
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