Relational Data - Statements - Select - Except

The EXCEPT clause returns only those rows that result from the first query without the second. The queries must match the number of columns, order, and type. The result of EXCEPT can contain duplicate rows.

Multiple EXCEPT statements are executed left to right if parenthesis are not specified. The EXCEPT operator has the same priority as the UNION clause and lower priority than the INTERSECT clause.

SELECT column1 [, column2 ]
FROM table1
[WHERE condition]

EXCEPT

SELECT column1 [, column2 ]
FROM table2
[WHERE condition]

The condition could be any expression based on your requirements.

Examples

Here is a simple example that returns the numbers 1 to 10 that are not a part of the numbers 3 to 8:

Query:

SELECT number FROM numbers(1,10) EXCEPT SELECT number FROM numbers(3,6);

Result:

┌─number─┐
│      1 │
│      2 │
│      9 │
│     10 │
└────────┘

EXCEPT and INTERSECT can often be used interchangeably with different Boolean logic, and they are both useful if you have two tables that share a common column (or columns). For example, suppose we have a few million rows of historical cryptocurrency data that contains trade prices and volume:

CREATE TABLE crypto_prices
(
    trade_date Date,
    crypto_name String,
    volume Float32,
    price Float32,
    market_cap Float32,
    change_1_day Float32
)
ENGINE = MergeTree
PRIMARY KEY (crypto_name, trade_date);

INSERT INTO crypto_prices
   SELECT *
   FROM s3(
    'https://learn-clickhouse.s3.us-east-2.amazonaws.com/crypto_prices.csv',
    'CSVWithNames'
);

SELECT * FROM crypto_prices
WHERE crypto_name = 'Bitcoin'
ORDER BY trade_date DESC
LIMIT 10;

┌─trade_date─┬─crypto_name─┬──────volume─┬────price─┬───market_cap─┬──change_1_day─┐
│ 2020-11-02 │ Bitcoin     │ 30771456000 │ 13550.49 │ 251119860000 │  -0.013585099 │
│ 2020-11-01 │ Bitcoin     │ 24453857000 │ 13737.11 │ 254569760000 │ -0.0031840964 │
│ 2020-10-31 │ Bitcoin     │ 30306464000 │ 13780.99 │ 255372070000 │   0.017308505 │
│ 2020-10-30 │ Bitcoin     │ 30581486000 │ 13546.52 │ 251018150000 │   0.008084608 │
│ 2020-10-29 │ Bitcoin     │ 56499500000 │ 13437.88 │ 248995320000 │   0.012552661 │
│ 2020-10-28 │ Bitcoin     │ 35867320000 │ 13271.29 │ 245899820000 │   -0.02804481 │
│ 2020-10-27 │ Bitcoin     │ 33749879000 │ 13654.22 │ 252985950000 │    0.04427984 │
│ 2020-10-26 │ Bitcoin     │ 29461459000 │ 13075.25 │ 242251000000 │  0.0033826586 │
│ 2020-10-25 │ Bitcoin     │ 24406921000 │ 13031.17 │ 241425220000 │ -0.0058658565 │
│ 2020-10-24 │ Bitcoin     │ 24542319000 │ 13108.06 │ 242839880000 │   0.013650347 │
└────────────┴─────────────┴─────────────┴──────────┴──────────────┴───────────────┘

Now suppose we have a table named holdings that contains a list of cryptocurrencies that we own, along with the number of coins:

CREATE TABLE holdings
(
    crypto_name String,
    quantity UInt64
)
ENGINE = MergeTree
PRIMARY KEY (crypto_name);

INSERT INTO holdings VALUES
   ('Bitcoin', 1000),
   ('Bitcoin', 200),
   ('Ethereum', 250),
   ('Ethereum', 5000),
   ('DOGEFI', 10),
   ('Bitcoin Diamond', 5000);

We can use EXCEPT to answer a question like “Which coins do we own have never traded below $10?”:

SELECT crypto_name FROM holdings
EXCEPT
SELECT crypto_name FROM crypto_prices
WHERE price < 10;

Result:

┌─crypto_name─┐
│ Bitcoin     │
│ Bitcoin     │
└─────────────┘

This means of the four cryptocurrencies we own, only Bitcoin has never dropped below $10 (based on the limited data we have here in this example).

EXCEPT DISTINCT

Notice in the previous query we had multiple Bitcoin holdings in the result. You can add DISTINCT to EXCEPT to eliminate duplicate rows from the result:

SELECT crypto_name FROM holdings
EXCEPT DISTINCT
SELECT crypto_name FROM crypto_prices
WHERE price < 10;

Result:

┌─crypto_name─┐
│ Bitcoin     │
└─────────────┘

See Also

• UNION
• INTERSECT