- Operators
- Access Operators
- Numeric Negation Operator
- Multiplication and Division Operators
- Addition and Subtraction Operators
- Comparison Operators
- Operators for Working with Data Sets
- Operators for Working with Dates and Times
- Logical Negation Operator
- Logical AND Operator
- Logical OR Operator
- Conditional Operator
- Conditional Expression
- Concatenation Operator
- Lambda Creation Operator
- Array Creation Operator
- Tuple Creation Operator
- Associativity
- Checking for
NULL
Operators
ClickHouse transforms operators to their corresponding functions at the query parsing stage according to their priority, precedence, and associativity.
Access Operators
a[N]
– Access to an element of an array. The arrayElement(a, N)
function.
a.N
– Access to a tuple element. The tupleElement(a, N)
function.
Numeric Negation Operator
-a
– The negate (a)
function.
Multiplication and Division Operators
a * b
– The multiply (a, b)
function.
a / b
– The divide(a, b)
function.
a % b
– The modulo(a, b)
function.
Addition and Subtraction Operators
a + b
– The plus(a, b)
function.
a - b
– The minus(a, b)
function.
Comparison Operators
a = b
– The equals(a, b)
function.
a == b
– The equals(a, b)
function.
a != b
– The notEquals(a, b)
function.
a <> b
– The notEquals(a, b)
function.
a <= b
– The lessOrEquals(a, b)
function.
a >= b
– The greaterOrEquals(a, b)
function.
a < b
– The less(a, b)
function.
a > b
– The greater(a, b)
function.
a LIKE s
– The like(a, b)
function.
a NOT LIKE s
– The notLike(a, b)
function.
a ILIKE s
– The ilike(a, b)
function.
a BETWEEN b AND c
– The same as a >= b AND a <= c
.
a NOT BETWEEN b AND c
– The same as a < b OR a > c
.
Operators for Working with Data Sets
See IN operators.
a IN ...
– The in(a, b)
function.
a NOT IN ...
– The notIn(a, b)
function.
a GLOBAL IN ...
– The globalIn(a, b)
function.
a GLOBAL NOT IN ...
– The globalNotIn(a, b)
function.
Operators for Working with Dates and Times
EXTRACT
EXTRACT(part FROM date);
Extract parts from a given date. For example, you can retrieve a month from a given date, or a second from a time.
The part
parameter specifies which part of the date to retrieve. The following values are available:
DAY
— The day of the month. Possible values: 1–31.MONTH
— The number of a month. Possible values: 1–12.YEAR
— The year.SECOND
— The second. Possible values: 0–59.MINUTE
— The minute. Possible values: 0–59.HOUR
— The hour. Possible values: 0–23.
The part
parameter is case-insensitive.
The date
parameter specifies the date or the time to process. Either Date or DateTime type is supported.
Examples:
SELECT EXTRACT(DAY FROM toDate('2017-06-15'));
SELECT EXTRACT(MONTH FROM toDate('2017-06-15'));
SELECT EXTRACT(YEAR FROM toDate('2017-06-15'));
In the following example we create a table and insert into it a value with the DateTime
type.
CREATE TABLE test.Orders
(
OrderId UInt64,
OrderName String,
OrderDate DateTime
)
ENGINE = Log;
INSERT INTO test.Orders VALUES (1, 'Jarlsberg Cheese', toDateTime('2008-10-11 13:23:44'));
SELECT
toYear(OrderDate) AS OrderYear,
toMonth(OrderDate) AS OrderMonth,
toDayOfMonth(OrderDate) AS OrderDay,
toHour(OrderDate) AS OrderHour,
toMinute(OrderDate) AS OrderMinute,
toSecond(OrderDate) AS OrderSecond
FROM test.Orders;
┌─OrderYear─┬─OrderMonth─┬─OrderDay─┬─OrderHour─┬─OrderMinute─┬─OrderSecond─┐
│ 2008 │ 10 │ 11 │ 13 │ 23 │ 44 │
└───────────┴────────────┴──────────┴───────────┴─────────────┴─────────────┘
You can see more examples in tests.
INTERVAL
Creates an Interval-type value that should be used in arithmetical operations with Date and DateTime-type values.
Types of intervals:
- SECOND
- MINUTE
- HOUR
- DAY
- WEEK
- MONTH
- QUARTER
- YEAR
You can also use a string literal when setting the INTERVAL
value. For example, INTERVAL 1 HOUR
is identical to the INTERVAL '1 hour'
or INTERVAL '1' hour
.
Warning
Intervals with different types can’t be combined. You can’t use expressions like INTERVAL 4 DAY 1 HOUR
. Specify intervals in units that are smaller or equal to the smallest unit of the interval, for example, INTERVAL 25 HOUR
. You can use consecutive operations, like in the example below.
Examples:
SELECT now() AS current_date_time, current_date_time + INTERVAL 4 DAY + INTERVAL 3 HOUR;
┌───current_date_time─┬─plus(plus(now(), toIntervalDay(4)), toIntervalHour(3))─┐
│ 2020-11-03 22:09:50 │ 2020-11-08 01:09:50 │
└─────────────────────┴────────────────────────────────────────────────────────┘
SELECT now() AS current_date_time, current_date_time + INTERVAL '4 day' + INTERVAL '3 hour';
┌───current_date_time─┬─plus(plus(now(), toIntervalDay(4)), toIntervalHour(3))─┐
│ 2020-11-03 22:12:10 │ 2020-11-08 01:12:10 │
└─────────────────────┴────────────────────────────────────────────────────────┘
SELECT now() AS current_date_time, current_date_time + INTERVAL '4' day + INTERVAL '3' hour;
┌───current_date_time─┬─plus(plus(now(), toIntervalDay('4')), toIntervalHour('3'))─┐
│ 2020-11-03 22:33:19 │ 2020-11-08 01:33:19 │
└─────────────────────┴────────────────────────────────────────────────────────────┘
See Also
- Interval data type
- toInterval type conversion functions
Logical Negation Operator
NOT a
– The not(a)
function.
Logical AND Operator
a AND b
– Theand(a, b)
function.
Logical OR Operator
a OR b
– The or(a, b)
function.
Conditional Operator
a ? b : c
– The if(a, b, c)
function.
Note:
The conditional operator calculates the values of b and c, then checks whether condition a is met, and then returns the corresponding value. If b
or C
is an arrayJoin() function, each row will be replicated regardless of the “a” condition.
Conditional Expression
CASE [x]
WHEN a THEN b
[WHEN ... THEN ...]
[ELSE c]
END
If x
is specified, then transform(x, [a, ...], [b, ...], c)
function is used. Otherwise – multiIf(a, b, ..., c)
.
If there is no ELSE c
clause in the expression, the default value is NULL
.
The transform
function does not work with NULL
.
Concatenation Operator
s1 || s2
– The concat(s1, s2) function.
Lambda Creation Operator
x -> expr
– The lambda(x, expr) function.
The following operators do not have a priority since they are brackets:
Array Creation Operator
[x1, ...]
– The array(x1, ...) function.
Tuple Creation Operator
(x1, x2, ...)
– The tuple(x2, x2, ...) function.
Associativity
All binary operators have left associativity. For example, 1 + 2 + 3
is transformed to plus(plus(1, 2), 3)
.
Sometimes this doesn’t work the way you expect. For example, SELECT 4 > 2 > 3
will result in 0.
For efficiency, the and
and or
functions accept any number of arguments. The corresponding chains of AND
and OR
operators are transformed into a single call of these functions.
Checking for NULL
ClickHouse supports the IS NULL
and IS NOT NULL
operators.
IS NULL
- For Nullable type values, the
IS NULL
operator returns:1
, if the value isNULL
.0
otherwise.
- For other values, the
IS NULL
operator always returns0
.
SELECT x+100 FROM t_null WHERE y IS NULL
┌─plus(x, 100)─┐
│ 101 │
└──────────────┘
IS NOT NULL
- For Nullable type values, the
IS NOT NULL
operator returns:0
, if the value isNULL
.1
otherwise.
- For other values, the
IS NOT NULL
operator always returns1
.
SELECT * FROM t_null WHERE y IS NOT NULL
┌─x─┬─y─┐
│ 2 │ 3 │
└───┴───┘