DataFusion Functions
This page is generated from the Apache DataFusion project's documents:
- DataFusion Scalar Functions
- DataFusion Scalar Functions (NEW)
- DataFusion Aggregate Functions
- DataFusion Window Functions
Scalar Functions
Scalar functions operate on a single row at a time and return a single value.
Note: this documentation is in the process of being migrated to be automatically created from the codebase. Please see the Scalar Functions (new) page for the rest of the documentation.
Math Functions
- abs
- acos
- acosh
- asin
- asinh
- atan
- atanh
- atan2
- cbrt
- ceil
- cos
- cosh
- degrees
- exp
- factorial
- floor
- gcd
- isnan
- iszero
- lcm
- ln
- log10
- log2
- nanvl
- pi
- power
- pow
- radians
- random
- round
- signum
- sin
- sinh
- sqrt
- tan
- tanh
- trunc
abs
Returns the absolute value of a number.
abs(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
acos
Returns the arc cosine or inverse cosine of a number.
acos(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
acosh
Returns the area hyperbolic cosine or inverse hyperbolic cosine of a number.
acosh(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
asin
Returns the arc sine or inverse sine of a number.
asin(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
asinh
Returns the area hyperbolic sine or inverse hyperbolic sine of a number.
asinh(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
atan
Returns the arc tangent or inverse tangent of a number.
atan(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
atanh
Returns the area hyperbolic tangent or inverse hyperbolic tangent of a number.
atanh(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
atan2
Returns the arc tangent or inverse tangent of expression_y / expression_x
.
atan2(expression_y, expression_x)
Arguments
- expression_y: First numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Second numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
cbrt
Returns the cube root of a number.
cbrt(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
ceil
Returns the nearest integer greater than or equal to a number.
ceil(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
cos
Returns the cosine of a number.
cos(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
cosh
Returns the hyperbolic cosine of a number.
cosh(numeric_expression)
degrees
Converts radians to degrees.
degrees(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
exp
Returns the base-e exponential of a number.
exp(numeric_expression)
Arguments
- numeric_expression: Numeric expression to use as the exponent. Can be a constant, column, or function, and any combination of arithmetic operators.
factorial
Factorial. Returns 1 if value is less than 2.
factorial(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
floor
Returns the nearest integer less than or equal to a number.
floor(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
gcd
Returns the greatest common divisor of expression_x
and expression_y
. Returns 0 if both inputs are zero.
gcd(expression_x, expression_y)
Arguments
- expression_x: First numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_y: Second numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
isnan
Returns true if a given number is +NaN or -NaN otherwise returns false.
isnan(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
iszero
Returns true if a given number is +0.0 or -0.0 otherwise returns false.
iszero(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
lcm
Returns the least common multiple of expression_x
and expression_y
. Returns 0 if either input is zero.
lcm(expression_x, expression_y)
Arguments
- expression_x: First numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_y: Second numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
ln
Returns the natural logarithm of a number.
ln(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
log10
Returns the base-10 logarithm of a number.
log10(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
log2
Returns the base-2 logarithm of a number.
log2(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
nanvl
Returns the first argument if it's not NaN. Returns the second argument otherwise.
nanvl(expression_x, expression_y)
Arguments
- expression_x: Numeric expression to return if it's not NaN. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_y: Numeric expression to return if the first expression is NaN. Can be a constant, column, or function, and any combination of arithmetic operators.
pi
Returns an approximate value of π.
pi()
power
Returns a base expression raised to the power of an exponent.
power(base, exponent)
Arguments
- base: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- exponent: Exponent numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
Aliases
- pow
pow
Alias of power.
radians
Converts degrees to radians.
radians(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
random
Returns a random float value in the range [0, 1). The random seed is unique to each row.
random()
round
Rounds a number to the nearest integer.
round(numeric_expression[, decimal_places])
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- decimal_places: Optional. The number of decimal places to round to. Defaults to 0.
signum
Returns the sign of a number.
Negative numbers return -1
.
Zero and positive numbers return 1
.
signum(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
sin
Returns the sine of a number.
sin(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
sinh
Returns the hyperbolic sine of a number.
sinh(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
sqrt
Returns the square root of a number.
sqrt(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
tan
Returns the tangent of a number.
tan(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
tanh
Returns the hyperbolic tangent of a number.
tanh(numeric_expression)
Arguments
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
trunc
Truncates a number to a whole number or truncated to the specified decimal places.
trunc(numeric_expression[, decimal_places])
Arguments
-
numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
-
decimal_places: Optional. The number of decimal places to truncate to. Defaults to 0 (truncate to a whole number). If
decimal_places
is a positive integer, truncates digits to the right of the decimal point. Ifdecimal_places
is a negative integer, replaces digits to the left of the decimal point with0
.
Conditional Functions
See the new documentation here
String Functions
See the new documentation here
position
Returns the position of substr
in origstr
(counting from 1). If substr
does
not appear in origstr
, return 0.
position(substr in origstr)
Arguments
- substr: The pattern string.
- origstr: The model string.
Time and Date Functions
- now
- current_date
- current_time
- date_bin
- date_trunc
- datetrunc
- date_part
- datepart
- extract
- today
- make_date
- to_char
- to_local_time
- to_timestamp
- to_timestamp_millis
- to_timestamp_micros
- to_timestamp_seconds
- to_timestamp_nanos
- from_unixtime
- to_unixtime
now
Returns the current UTC timestamp.
The now()
return value is determined at query time and will return the same timestamp,
no matter when in the query plan the function executes.
now()
current_date
Returns the current UTC date.
The current_date()
return value is determined at query time and will return the same date,
no matter when in the query plan the function executes.
current_date()
Aliases
- today
today
Alias of current_date.
current_time
Returns the current UTC time.
The current_time()
return value is determined at query time and will return the same time,
no matter when in the query plan the function executes.
current_time()
date_bin
Calculates time intervals and returns the start of the interval nearest to the specified timestamp.
Use date_bin
to downsample time series data by grouping rows into time-based "bins" or "windows"
and applying an aggregate or selector function to each window.
For example, if you "bin" or "window" data into 15 minute intervals, an input
timestamp of 2023-01-01T18:18:18Z
will be updated to the start time of the 15
minute bin it is in: 2023-01-01T18:15:00Z
.
date_bin(interval, expression, origin-timestamp)
Arguments
- interval: Bin interval.
- expression: Time expression to operate on. Can be a constant, column, or function.
- origin-timestamp: Optional. Starting point used to determine bin boundaries. If not specified
defaults
1970-01-01T00:00:00Z
(the UNIX epoch in UTC).
The following intervals are supported:
- nanoseconds
- microseconds
- milliseconds
- seconds
- minutes
- hours
- days
- weeks
- months
- years
- century
date_trunc
Truncates a timestamp value to a specified precision.
date_trunc(precision, expression)
Arguments
-
precision: Time precision to truncate to. The following precisions are supported:
- year / YEAR
- quarter / QUARTER
- month / MONTH
- week / WEEK
- day / DAY
- hour / HOUR
- minute / MINUTE
- second / SECOND
-
expression: Time expression to operate on. Can be a constant, column, or function.
Aliases
- datetrunc
datetrunc
Alias of date_trunc.
date_part
Returns the specified part of the date as an integer.
date_part(part, expression)
Arguments
-
part: Part of the date to return. The following date parts are supported:
- year
- quarter (emits value in inclusive range [1, 4] based on which quartile of the year the date is in)
- month
- week (week of the year)
- day (day of the month)
- hour
- minute
- second
- millisecond
- microsecond
- nanosecond
- dow (day of the week)
- doy (day of the year)
- epoch (seconds since Unix epoch)
-
expression: Time expression to operate on. Can be a constant, column, or function.
Aliases
- datepart
datepart
Alias of date_part.
extract
Returns a sub-field from a time value as an integer.
extract(field FROM source)
Equivalent to calling date_part('field', source)
. For example, these are equivalent:
extract(day FROM '2024-04-13'::date)
date_part('day', '2024-04-13'::date)
See date_part.
make_date
Make a date from year/month/day component parts.
make_date(year, month, day)
Arguments
- year: Year to use when making the date. Can be a constant, column or function, and any combination of arithmetic operators.
- month: Month to use when making the date. Can be a constant, column or function, and any combination of arithmetic operators.
- day: Day to use when making the date. Can be a constant, column or function, and any combination of arithmetic operators.
Example
> select make_date(2023, 1, 31);
+-------------------------------------------+
| make_date(Int64(2023),Int64(1),Int64(31)) |
+-------------------------------------------+
| 2023-01-31 |
+-------------------------------------------+
> select make_date('2023', '01', '31');
+-----------------------------------------------+
| make_date(Utf8("2023"),Utf8("01"),Utf8("31")) |
+-----------------------------------------------+
| 2023-01-31 |
+-----------------------------------------------+
Additional examples can be found here
to_char
Returns a string representation of a date, time, timestamp or duration based on a Chrono format. Unlike the PostgreSQL equivalent of this function numerical formatting is not supported.
to_char(expression, format)
Arguments
- expression: Expression to operate on. Can be a constant, column, or function that results in a date, time, timestamp or duration.
- format: A Chrono format string to use to convert the expression.
Example
> select to_char('2023-03-01'::date, '%d-%m-%Y');
+----------------------------------------------+
| to_char(Utf8("2023-03-01"),Utf8("%d-%m-%Y")) |
+----------------------------------------------+
| 01-03-2023 |
+----------------------------------------------+
Additional examples can be found here
Aliases
- date_format
to_local_time
Converts a timestamp with a timezone to a timestamp without a timezone (with no offset or timezone information). This function handles daylight saving time changes.
to_local_time(expression)
Arguments
- expression: Time expression to operate on. Can be a constant, column, or function.
Example
> SELECT to_local_time('2024-04-01T00:00:20Z'::timestamp);
+---------------------------------------------+
| to_local_time(Utf8("2024-04-01T00:00:20Z")) |
+---------------------------------------------+
| 2024-04-01T00:00:20 |
+---------------------------------------------+
> SELECT to_local_time('2024-04-01T00:00:20Z'::timestamp AT TIME ZONE 'Europe/Brussels');
+---------------------------------------------+
| to_local_time(Utf8("2024-04-01T00:00:20Z")) |
+---------------------------------------------+
| 2024-04-01T00:00:20 |
+---------------------------------------------+
> SELECT
time,
arrow_typeof(time) as type,
to_local_time(time) as to_local_time,
arrow_typeof(to_local_time(time)) as to_local_time_type
FROM (
SELECT '2024-04-01T00:00:20Z'::timestamp AT TIME ZONE 'Europe/Brussels' AS time
);
+---------------------------+------------------------------------------------+---------------------+-----------------------------+
| time | type | to_local_time | to_local_time_type |
+---------------------------+------------------------------------------------+---------------------+-----------------------------+
| 2024-04-01T00:00:20+02:00 | Timestamp(Nanosecond, Some("Europe/Brussels")) | 2024-04-01T00:00:20 | Timestamp(Nanosecond, None) |
+---------------------------+------------------------------------------------+---------------------+-----------------------------+
## combine `to_local_time()` with `date_bin()` to bin on boundaries in the timezone rather
## than UTC boundaries
> SELECT date_bin(interval '1 day', to_local_time('2024-04-01T00:00:20Z'::timestamp AT TIME ZONE 'Europe/Brussels')) AS date_bin;
+---------------------+
| date_bin |
+---------------------+
| 2024-04-01T00:00:00 |
+---------------------+
> SELECT date_bin(interval '1 day', to_local_time('2024-04-01T00:00:20Z'::timestamp AT TIME ZONE 'Europe/Brussels')) AT TIME ZONE 'Europe/Brussels' AS date_bin_with_timezone;
+---------------------------+
| date_bin_with_timezone |
+---------------------------+
| 2024-04-01T00:00:00+02:00 |
+---------------------------+
to_timestamp
Converts a value to a timestamp (YYYY-MM-DDT00:00:00Z
).
Supports strings, integer, unsigned integer, and double types as input.
Strings are parsed as RFC3339 (e.g. '2023-07-20T05:44:00') if no [Chrono formats] are provided.
Integers, unsigned integers, and doubles are interpreted as seconds since the unix epoch (1970-01-01T00:00:00Z
).
Returns the corresponding timestamp.
Note: to_timestamp
returns Timestamp(Nanosecond)
. The supported range for integer input is between -9223372037
and 9223372036
.
Supported range for string input is between 1677-09-21T00:12:44.0
and 2262-04-11T23:47:16.0
. Please use to_timestamp_seconds
for the input outside of supported bounds.
to_timestamp(expression[, ..., format_n])
Arguments
- expression: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- format_n: Optional Chrono format strings to use to parse the expression. Formats will be tried in the order they appear with the first successful one being returned. If none of the formats successfully parse the expression an error will be returned.
Example
> select to_timestamp('2023-01-31T09:26:56.123456789-05:00');
+-----------------------------------------------------------+
| to_timestamp(Utf8("2023-01-31T09:26:56.123456789-05:00")) |
+-----------------------------------------------------------+
| 2023-01-31T14:26:56.123456789 |
+-----------------------------------------------------------+
> select to_timestamp('03:59:00.123456789 05-17-2023', '%c', '%+', '%H:%M:%S%.f %m-%d-%Y');
+--------------------------------------------------------------------------------------------------------+
| to_timestamp(Utf8("03:59:00.123456789 05-17-2023"),Utf8("%c"),Utf8("%+"),Utf8("%H:%M:%S%.f %m-%d-%Y")) |
+--------------------------------------------------------------------------------------------------------+
| 2023-05-17T03:59:00.123456789 |
+--------------------------------------------------------------------------------------------------------+
Additional examples can be found here
to_timestamp_millis
Converts a value to a timestamp (YYYY-MM-DDT00:00:00.000Z
).
Supports strings, integer, and unsigned integer types as input.
Strings are parsed as RFC3339 (e.g. '2023-07-20T05:44:00') if no Chrono formats are provided.
Integers and unsigned integers are interpreted as milliseconds since the unix epoch (1970-01-01T00:00:00Z
).
Returns the corresponding timestamp.
to_timestamp_millis(expression[, ..., format_n])
Arguments
- expression: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- format_n: Optional Chrono format strings to use to parse the expression. Formats will be tried in the order they appear with the first successful one being returned. If none of the formats successfully parse the expression an error will be returned.
Example
> select to_timestamp_millis('2023-01-31T09:26:56.123456789-05:00');
+------------------------------------------------------------------+
| to_timestamp_millis(Utf8("2023-01-31T09:26:56.123456789-05:00")) |
+------------------------------------------------------------------+
| 2023-01-31T14:26:56.123 |
+------------------------------------------------------------------+
> select to_timestamp_millis('03:59:00.123456789 05-17-2023', '%c', '%+', '%H:%M:%S%.f %m-%d-%Y');
+---------------------------------------------------------------------------------------------------------------+
| to_timestamp_millis(Utf8("03:59:00.123456789 05-17-2023"),Utf8("%c"),Utf8("%+"),Utf8("%H:%M:%S%.f %m-%d-%Y")) |
+---------------------------------------------------------------------------------------------------------------+
| 2023-05-17T03:59:00.123 |
+---------------------------------------------------------------------------------------------------------------+
Additional examples can be found here
to_timestamp_micros
Converts a value to a timestamp (YYYY-MM-DDT00:00:00.000000Z
).
Supports strings, integer, and unsigned integer types as input.
Strings are parsed as RFC3339 (e.g. '2023-07-20T05:44:00') if no Chrono formats are provided.
Integers and unsigned integers are interpreted as microseconds since the unix epoch (1970-01-01T00:00:00Z
)
Returns the corresponding timestamp.
to_timestamp_micros(expression[, ..., format_n])
Arguments
- expression: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- format_n: Optional Chrono format strings to use to parse the expression. Formats will be tried in the order they appear with the first successful one being returned. If none of the formats successfully parse the expression an error will be returned.
Example
> select to_timestamp_micros('2023-01-31T09:26:56.123456789-05:00');
+------------------------------------------------------------------+
| to_timestamp_micros(Utf8("2023-01-31T09:26:56.123456789-05:00")) |
+------------------------------------------------------------------+
| 2023-01-31T14:26:56.123456 |
+------------------------------------------------------------------+
> select to_timestamp_micros('03:59:00.123456789 05-17-2023', '%c', '%+', '%H:%M:%S%.f %m-%d-%Y');
+---------------------------------------------------------------------------------------------------------------+
| to_timestamp_micros(Utf8("03:59:00.123456789 05-17-2023"),Utf8("%c"),Utf8("%+"),Utf8("%H:%M:%S%.f %m-%d-%Y")) |
+---------------------------------------------------------------------------------------------------------------+
| 2023-05-17T03:59:00.123456 |
+---------------------------------------------------------------------------------------------------------------+
Additional examples can be found here
to_timestamp_nanos
Converts a value to a timestamp (YYYY-MM-DDT00:00:00.000000000Z
).
Supports strings, integer, and unsigned integer types as input.
Strings are parsed as RFC3339 (e.g. '2023-07-20T05:44:00') if no Chrono formats are provided.
Integers and unsigned integers are interpreted as nanoseconds since the unix epoch (1970-01-01T00:00:00Z
).
Returns the corresponding timestamp.
to_timestamp_nanos(expression[, ..., format_n])
Arguments
- expression: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- format_n: Optional Chrono format strings to use to parse the expression. Formats will be tried in the order they appear with the first successful one being returned. If none of the formats successfully parse the expression an error will be returned.
Example
> select to_timestamp_nanos('2023-01-31T09:26:56.123456789-05:00');
+-----------------------------------------------------------------+
| to_timestamp_nanos(Utf8("2023-01-31T09:26:56.123456789-05:00")) |
+-----------------------------------------------------------------+
| 2023-01-31T14:26:56.123456789 |
+-----------------------------------------------------------------+
> select to_timestamp_nanos('03:59:00.123456789 05-17-2023', '%c', '%+', '%H:%M:%S%.f %m-%d-%Y');
+--------------------------------------------------------------------------------------------------------------+
| to_timestamp_nanos(Utf8("03:59:00.123456789 05-17-2023"),Utf8("%c"),Utf8("%+"),Utf8("%H:%M:%S%.f %m-%d-%Y")) |
+--------------------------------------------------------------------------------------------------------------+
| 2023-05-17T03:59:00.123456789 |
+---------------------------------------------------------------------------------------------------------------+
Additional examples can be found here
to_timestamp_seconds
Converts a value to a timestamp (YYYY-MM-DDT00:00:00.000Z
).
Supports strings, integer, and unsigned integer types as input.
Strings are parsed as RFC3339 (e.g. '2023-07-20T05:44:00') if no Chrono formats are provided.
Integers and unsigned integers are interpreted as seconds since the unix epoch (1970-01-01T00:00:00Z
).
Returns the corresponding timestamp.
to_timestamp_seconds(expression[, ..., format_n])
Arguments
- expression: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- format_n: Optional Chrono format strings to use to parse the expression. Formats will be tried in the order they appear with the first successful one being returned. If none of the formats successfully parse the expression an error will be returned.
Example
> select to_timestamp_seconds('2023-01-31T09:26:56.123456789-05:00');
+-------------------------------------------------------------------+
| to_timestamp_seconds(Utf8("2023-01-31T09:26:56.123456789-05:00")) |
+-------------------------------------------------------------------+
| 2023-01-31T14:26:56 |
+-------------------------------------------------------------------+
> select to_timestamp_seconds('03:59:00.123456789 05-17-2023', '%c', '%+', '%H:%M:%S%.f %m-%d-%Y');
+----------------------------------------------------------------------------------------------------------------+
| to_timestamp_seconds(Utf8("03:59:00.123456789 05-17-2023"),Utf8("%c"),Utf8("%+"),Utf8("%H:%M:%S%.f %m-%d-%Y")) |
+----------------------------------------------------------------------------------------------------------------+
| 2023-05-17T03:59:00 |
+----------------------------------------------------------------------------------------------------------------+
Additional examples can be found here
from_unixtime
Converts an integer to RFC3339 timestamp format (YYYY-MM-DDT00:00:00.000000000Z
).
Integers and unsigned integers are interpreted as nanoseconds since the unix epoch (1970-01-01T00:00:00Z
)
return the corresponding timestamp.
from_unixtime(expression)
Arguments
- expression: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
to_unixtime
Converts a value to seconds since the unix epoch (1970-01-01T00:00:00Z
).
Supports strings, dates, timestamps and double types as input.
Strings are parsed as RFC3339 (e.g. '2023-07-20T05:44:00') if no [Chrono formats] are provided.
to_unixtime(expression[, ..., format_n])
Arguments
- expression: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- format_n: Optional Chrono format strings to use to parse the expression. Formats will be tried in the order they appear with the first successful one being returned. If none of the formats successfully parse the expression an error will be returned.
Example
> select to_unixtime('2020-09-08T12:00:00+00:00');
+------------------------------------------------+
| to_unixtime(Utf8("2020-09-08T12:00:00+00:00")) |
+------------------------------------------------+
| 1599566400 |
+------------------------------------------------+
> select to_unixtime('01-14-2023 01:01:30+05:30', '%q', '%d-%m-%Y %H/%M/%S', '%+', '%m-%d-%Y %H:%M:%S%#z');
+-----------------------------------------------------------------------------------------------------------------------------+
| to_unixtime(Utf8("01-14-2023 01:01:30+05:30"),Utf8("%q"),Utf8("%d-%m-%Y %H/%M/%S"),Utf8("%+"),Utf8("%m-%d-%Y %H:%M:%S%#z")) |
+-----------------------------------------------------------------------------------------------------------------------------+
| 1673638290 |
+-----------------------------------------------------------------------------------------------------------------------------+
Array Functions
- array_any_value
- array_append
- array_sort
- array_cat
- array_concat
- array_contains
- array_dims
- array_distance
- array_distinct
- array_has
- array_has_all
- array_has_any
- array_element
- array_empty
- array_except
- array_extract
- array_fill
- array_indexof
- array_intersect
- array_join
- array_length
- array_ndims
- array_prepend
- array_pop_front
- array_pop_back
- array_position
- array_positions
- array_push_back
- array_push_front
- array_repeat
- array_resize
- array_remove
- array_remove_n
- array_remove_all
- array_replace
- array_replace_n
- array_replace_all
- array_reverse
- array_slice
- array_to_string
- array_union
- cardinality
- empty
- flatten
- generate_series
- list_any_value
- list_append
- list_sort
- list_cat
- list_concat
- list_dims
- list_distance
- list_distinct
- list_element
- list_except
- list_extract
- list_has
- list_has_all
- list_has_any
- list_indexof
- list_intersect
- list_join
- list_length
- list_ndims
- list_prepend
- list_pop_back
- list_pop_front
- list_position
- list_positions
- list_push_back
- list_push_front
- list_repeat
- list_resize
- list_remove
- list_remove_n
- list_remove_all
- list_replace
- list_replace_n
- list_replace_all
- list_slice
- list_to_string
- list_union
- make_array
- make_list
- string_to_array
- string_to_list
- trim_array
- unnest
- range
array_any_value
Returns the first non-null element in the array.
array_any_value(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_any_value([NULL, 1, 2, 3]);
+--------------------------------------------------------------+
| array_any_value(List([NULL,1,2,3])) |
+--------------------------------------------------------------+
| 1 |
+--------------------------------------------------------------+
array_append
Appends an element to the end of an array.
array_append(array, element)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Element to append to the array.
Example
> select array_append([1, 2, 3], 4);
+--------------------------------------+
| array_append(List([1,2,3]),Int64(4)) |
+--------------------------------------+
| [1, 2, 3, 4] |
+--------------------------------------+
Aliases
- array_push_back
- list_append
- list_push_back
array_sort
Sort array.
array_sort(array, desc, nulls_first)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- desc: Whether to sort in descending order(
ASC
orDESC
). - nulls_first: Whether to sort nulls first(
NULLS FIRST
orNULLS LAST
).
Example
> select array_sort([3, 1, 2]);
+-----------------------------+
| array_sort(List([3,1,2])) |
+-----------------------------+
| [1, 2, 3] |
+-----------------------------+
Aliases
- list_sort
array_resize
Resizes the list to contain size elements. Initializes new elements with value or empty if value is not set.
array_resize(array, size, value)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- size: New size of given array.
- value: Defines new elements' value or empty if value is not set.
Example
> select array_resize([1, 2, 3], 5, 0);
+-------------------------------------+
| array_resize(List([1,2,3],5,0)) |
+-------------------------------------+
| [1, 2, 3, 0, 0] |
+-------------------------------------+
Aliases
- list_resize
array_cat
Alias of array_concat.
array_concat
Concatenates arrays.
array_concat(array[, ..., array_n])
Arguments
- array: Array expression to concatenate. Can be a constant, column, or function, and any combination of array operators.
- array_n: Subsequent array column or literal array to concatenate.
Example
> select array_concat([1, 2], [3, 4], [5, 6]);
+---------------------------------------------------+
| array_concat(List([1,2]),List([3,4]),List([5,6])) |
+---------------------------------------------------+
| [1, 2, 3, 4, 5, 6] |
+---------------------------------------------------+
Aliases
- array_cat
- list_cat
- list_concat
array_contains
Alias of array_has.
array_has
Returns true if the array contains the element
array_has(array, element)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Scalar or Array expression. Can be a constant, column, or function, and any combination of array operators.
Aliases
- list_has
array_has_all
Returns true if all elements of sub-array exist in array
array_has_all(array, sub-array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- sub-array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Aliases
- list_has_all
array_has_any
Returns true if any elements exist in both arrays
array_has_any(array, sub-array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- sub-array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Aliases
- list_has_any
array_dims
Returns an array of the array's dimensions.
array_dims(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_dims([[1, 2, 3], [4, 5, 6]]);
+---------------------------------+
| array_dims(List([1,2,3,4,5,6])) |
+---------------------------------+
| [2, 3] |
+---------------------------------+
Aliases
- list_dims
array_distance
Returns the Euclidean distance between two input arrays of equal length.
array_distance(array1, array2)
Arguments
- array1: Array expression. Can be a constant, column, or function, and any combination of array operators.
- array2: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_distance([1, 2], [1, 4]);
+------------------------------------+
| array_distance(List([1,2], [1,4])) |
+------------------------------------+
| 2.0 |
+------------------------------------+
Aliases
- list_distance
array_distinct
Returns distinct values from the array after removing duplicates.
array_distinct(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_distinct([1, 3, 2, 3, 1, 2, 4]);
+---------------------------------+
| array_distinct(List([1,2,3,4])) |
+---------------------------------+
| [1, 2, 3, 4] |
+---------------------------------+
Aliases
- list_distinct
array_element
Extracts the element with the index n from the array.
array_element(array, index)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- index: Index to extract the element from the array.
Example
> select array_element([1, 2, 3, 4], 3);
+-----------------------------------------+
| array_element(List([1,2,3,4]),Int64(3)) |
+-----------------------------------------+
| 3 |
+-----------------------------------------+
Aliases
- array_extract
- list_element
- list_extract
array_extract
Alias of array_element.
array_fill
Returns an array filled with copies of the given value.
DEPRECATED: use array_repeat
instead!
array_fill(element, array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Element to copy to the array.
flatten
Converts an array of arrays to a flat array
- Applies to any depth of nested arrays
- Does not change arrays that are already flat
The flattened array contains all the elements from all source arrays.
Arguments
- array: Array expression Can be a constant, column, or function, and any combination of array operators.
flatten(array)
array_indexof
Alias of array_position.
array_intersect
Returns an array of elements in the intersection of array1 and array2.
array_intersect(array1, array2)
Arguments
- array1: Array expression. Can be a constant, column, or function, and any combination of array operators.
- array2: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_intersect([1, 2, 3, 4], [5, 6, 3, 4]);
+----------------------------------------------------+
| array_intersect([1, 2, 3, 4], [5, 6, 3, 4]); |
+----------------------------------------------------+
| [3, 4] |
+----------------------------------------------------+
> select array_intersect([1, 2, 3, 4], [5, 6, 7, 8]);
+----------------------------------------------------+
| array_intersect([1, 2, 3, 4], [5, 6, 7, 8]); |
+----------------------------------------------------+
| [] |
+----------------------------------------------------+
Aliases
- list_intersect
array_join
Alias of array_to_string.
array_length
Returns the length of the array dimension.
array_length(array, dimension)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- dimension: Array dimension.
Example
> select array_length([1, 2, 3, 4, 5]);
+---------------------------------+
| array_length(List([1,2,3,4,5])) |
+---------------------------------+
| 5 |
+---------------------------------+
Aliases
- list_length
array_ndims
Returns the number of dimensions of the array.
array_ndims(array, element)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_ndims([[1, 2, 3], [4, 5, 6]]);
+----------------------------------+
| array_ndims(List([1,2,3,4,5,6])) |
+----------------------------------+
| 2 |
+----------------------------------+
Aliases
- list_ndims
array_prepend
Prepends an element to the beginning of an array.
array_prepend(element, array)
Arguments
- element: Element to prepend to the array.
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_prepend(1, [2, 3, 4]);
+---------------------------------------+
| array_prepend(Int64(1),List([2,3,4])) |
+---------------------------------------+
| [1, 2, 3, 4] |
+---------------------------------------+
Aliases
- array_push_front
- list_prepend
- list_push_front
array_pop_front
Returns the array without the first element.
array_pop_front(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_pop_front([1, 2, 3]);
+-------------------------------+
| array_pop_front(List([1,2,3])) |
+-------------------------------+
| [2, 3] |
+-------------------------------+
Aliases
- list_pop_front
array_pop_back
Returns the array without the last element.
array_pop_back(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_pop_back([1, 2, 3]);
+-------------------------------+
| array_pop_back(List([1,2,3])) |
+-------------------------------+
| [1, 2] |
+-------------------------------+
Aliases
- list_pop_back
array_position
Returns the position of the first occurrence of the specified element in the array.
array_position(array, element)
array_position(array, element, index)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Element to search for position in the array.
- index: Index at which to start searching.
Example
> select array_position([1, 2, 2, 3, 1, 4], 2);
+----------------------------------------------+
| array_position(List([1,2,2,3,1,4]),Int64(2)) |
+----------------------------------------------+
| 2 |
+----------------------------------------------+
Aliases
- array_indexof
- list_indexof
- list_position
array_positions
Searches for an element in the array, returns all occurrences.
array_positions(array, element)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Element to search for positions in the array.
Example
> select array_positions([1, 2, 2, 3, 1, 4], 2);
+-----------------------------------------------+
| array_positions(List([1,2,2,3,1,4]),Int64(2)) |
+-----------------------------------------------+
| [2, 3] |
+-----------------------------------------------+
Aliases
- list_positions
array_push_back
Alias of array_append.
array_push_front
Alias of array_prepend.
array_repeat
Returns an array containing element count
times.
array_repeat(element, count)
Arguments
- element: Element expression. Can be a constant, column, or function, and any combination of array operators.
- count: Value of how many times to repeat the element.
Example
> select array_repeat(1, 3);
+---------------------------------+
| array_repeat(Int64(1),Int64(3)) |
+---------------------------------+
| [1, 1, 1] |
+---------------------------------+
> select array_repeat([1, 2], 2);
+------------------------------------+
| array_repeat(List([1,2]),Int64(2)) |
+------------------------------------+
| [[1, 2], [1, 2]] |
+------------------------------------+
Aliases
- list_repeat
array_remove
Removes the first element from the array equal to the given value.
array_remove(array, element)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Element to be removed from the array.
Example
> select array_remove([1, 2, 2, 3, 2, 1, 4], 2);
+----------------------------------------------+
| array_remove(List([1,2,2,3,2,1,4]),Int64(2)) |
+----------------------------------------------+
| [1, 2, 3, 2, 1, 4] |
+----------------------------------------------+
Aliases
- list_remove
array_remove_n
Removes the first max
elements from the array equal to the given value.
array_remove_n(array, element, max)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Element to be removed from the array.
- max: Number of first occurrences to remove.
Example
> select array_remove_n([1, 2, 2, 3, 2, 1, 4], 2, 2);
+---------------------------------------------------------+
| array_remove_n(List([1,2,2,3,2,1,4]),Int64(2),Int64(2)) |
+---------------------------------------------------------+
| [1, 3, 2, 1, 4] |
+---------------------------------------------------------+
Aliases
- list_remove_n
array_remove_all
Removes all elements from the array equal to the given value.
array_remove_all(array, element)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- element: Element to be removed from the array.
Example
> select array_remove_all([1, 2, 2, 3, 2, 1, 4], 2);
+--------------------------------------------------+
| array_remove_all(List([1,2,2,3,2,1,4]),Int64(2)) |
+--------------------------------------------------+
| [1, 3, 1, 4] |
+--------------------------------------------------+
Aliases
- list_remove_all
array_replace
Replaces the first occurrence of the specified element with another specified element.
array_replace(array, from, to)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- from: Initial element.
- to: Final element.
Example
> select array_replace([1, 2, 2, 3, 2, 1, 4], 2, 5);
+--------------------------------------------------------+
| array_replace(List([1,2,2,3,2,1,4]),Int64(2),Int64(5)) |
+--------------------------------------------------------+
| [1, 5, 2, 3, 2, 1, 4] |
+--------------------------------------------------------+
Aliases
- list_replace
array_replace_n
Replaces the first max
occurrences of the specified element with another specified element.
array_replace_n(array, from, to, max)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- from: Initial element.
- to: Final element.
- max: Number of first occurrences to replace.
Example
> select array_replace_n([1, 2, 2, 3, 2, 1, 4], 2, 5, 2);
+-------------------------------------------------------------------+
| array_replace_n(List([1,2,2,3,2,1,4]),Int64(2),Int64(5),Int64(2)) |
+-------------------------------------------------------------------+
| [1, 5, 5, 3, 2, 1, 4] |
+-------------------------------------------------------------------+
Aliases
- list_replace_n
array_replace_all
Replaces all occurrences of the specified element with another specified element.
array_replace_all(array, from, to)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- from: Initial element.
- to: Final element.
Example
> select array_replace_all([1, 2, 2, 3, 2, 1, 4], 2, 5);
+------------------------------------------------------------+
| array_replace_all(List([1,2,2,3,2,1,4]),Int64(2),Int64(5)) |
+------------------------------------------------------------+
| [1, 5, 5, 3, 5, 1, 4] |
+------------------------------------------------------------+
Aliases
- list_replace_all
array_reverse
Returns the array with the order of the elements reversed.
array_reverse(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_reverse([1, 2, 3, 4]);
+------------------------------------------------------------+
| array_reverse(List([1, 2, 3, 4])) |
+------------------------------------------------------------+
| [4, 3, 2, 1] |
+------------------------------------------------------------+
Aliases
- list_reverse
array_slice
Returns a slice of the array based on 1-indexed start and end positions.
array_slice(array, begin, end)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- begin: Index of the first element. If negative, it counts backward from the end of the array.
- end: Index of the last element. If negative, it counts backward from the end of the array.
- stride: Stride of the array slice. The default is 1.
Example
> select array_slice([1, 2, 3, 4, 5, 6, 7, 8], 3, 6);
+--------------------------------------------------------+
| array_slice(List([1,2,3,4,5,6,7,8]),Int64(3),Int64(6)) |
+--------------------------------------------------------+
| [3, 4, 5, 6] |
+--------------------------------------------------------+
Aliases
- list_slice
array_to_string
Converts each element to its text representation.
array_to_string(array, delimiter)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- delimiter: Array element separator.
Example
> select array_to_string([[1, 2, 3, 4], [5, 6, 7, 8]], ',');
+----------------------------------------------------+
| array_to_string(List([1,2,3,4,5,6,7,8]),Utf8(",")) |
+----------------------------------------------------+
| 1,2,3,4,5,6,7,8 |
+----------------------------------------------------+
Aliases
- array_join
- list_join
- list_to_string
array_union
Returns an array of elements that are present in both arrays (all elements from both arrays) with out duplicates.
array_union(array1, array2)
Arguments
- array1: Array expression. Can be a constant, column, or function, and any combination of array operators.
- array2: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_union([1, 2, 3, 4], [5, 6, 3, 4]);
+----------------------------------------------------+
| array_union([1, 2, 3, 4], [5, 6, 3, 4]); |
+----------------------------------------------------+
| [1, 2, 3, 4, 5, 6] |
+----------------------------------------------------+
> select array_union([1, 2, 3, 4], [5, 6, 7, 8]);
+----------------------------------------------------+
| array_union([1, 2, 3, 4], [5, 6, 7, 8]); |
+----------------------------------------------------+
| [1, 2, 3, 4, 5, 6, 7, 8] |
+----------------------------------------------------+
Aliases
- list_union
array_except
Returns an array of the elements that appear in the first array but not in the second.
array_except(array1, array2)
Arguments
- array1: Array expression. Can be a constant, column, or function, and any combination of array operators.
- array2: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select array_except([1, 2, 3, 4], [5, 6, 3, 4]);
+----------------------------------------------------+
| array_except([1, 2, 3, 4], [5, 6, 3, 4]); |
+----------------------------------------------------+
| [1, 2] |
+----------------------------------------------------+
> select array_except([1, 2, 3, 4], [3, 4, 5, 6]);
+----------------------------------------------------+
| array_except([1, 2, 3, 4], [3, 4, 5, 6]); |
+----------------------------------------------------+
| [1, 2] |
+----------------------------------------------------+
Aliases
- list_except
cardinality
Returns the total number of elements in the array.
cardinality(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select cardinality([[1, 2, 3, 4], [5, 6, 7, 8]]);
+--------------------------------------+
| cardinality(List([1,2,3,4,5,6,7,8])) |
+--------------------------------------+
| 8 |
+--------------------------------------+
empty
Returns 1 for an empty array or 0 for a non-empty array.
empty(array)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
Example
> select empty([1]);
+------------------+
| empty(List([1])) |
+------------------+
| 0 |
+------------------+
Aliases
- array_empty,
- list_empty
generate_series
Similar to the range function, but it includes the upper bound.
generate_series(start, stop, step)
Arguments
- start: start of the series. Ints, timestamps, dates or string types that can be coerced to Date32 are supported.
- end: end of the series (included). Type must be the same as start.
- step: increase by step (can not be 0). Steps less than a day are supported only for timestamp ranges.
Example
> select generate_series(1,3);
+------------------------------------+
| generate_series(Int64(1),Int64(3)) |
+------------------------------------+
| [1, 2, 3] |
+------------------------------------+
list_any_value
Alias of array_any_value.
list_append
Alias of array_append.
list_cat
Alias of array_concat.
list_concat
Alias of array_concat.
list_dims
Alias of array_dims.
list_distance
Alias of array_distance.
list_distinct
Alias of array_distinct.
list_element
Alias of array_element.
list_empty
Alias of empty.
list_except
Alias of array_element.
list_extract
Alias of array_element.
list_has
Alias of array_has.
list_has_all
Alias of array_has_all.
list_has_any
Alias of array_has_any.
list_indexof
Alias of array_position.
list_intersect
Alias of array_position.
list_join
Alias of array_to_string.
list_length
Alias of array_length.
list_ndims
Alias of array_ndims.
list_prepend
Alias of array_prepend.
list_pop_back
Alias of array_pop_back.
list_pop_front
Alias of array_pop_front.
list_position
Alias of array_position.
list_positions
Alias of array_positions.
list_push_back
Alias of array_append.
list_push_front
Alias of array_prepend.
list_repeat
Alias of array_repeat.
list_resize
Alias of array_resize.
list_remove
Alias of array_remove.
list_remove_n
Alias of array_remove_n.
list_remove_all
Alias of array_remove_all.
list_replace
Alias of array_replace.
list_replace_n
Alias of array_replace_n.
list_replace_all
Alias of array_replace_all.
list_reverse
Alias of array_reverse.
list_slice
Alias of array_slice.
list_sort
Alias of array_sort.
list_to_string
Alias of array_to_string.
list_union
Alias of array_union.
make_array
Returns an Arrow array using the specified input expressions.
make_array(expression1[, ..., expression_n])
array_empty
Alias of empty.
Arguments
- expression_n: Expression to include in the output array. Can be a constant, column, or function, and any combination of arithmetic or string operators.
Example
> select make_array(1, 2, 3, 4, 5);
+----------------------------------------------------------+
| make_array(Int64(1),Int64(2),Int64(3),Int64(4),Int64(5)) |
+----------------------------------------------------------+
| [1, 2, 3, 4, 5] |
+----------------------------------------------------------+
Aliases
- make_list
make_list
Alias of make_array.
string_to_array
Splits a string in to an array of substrings based on a delimiter. Any substrings matching the optional null_str
argument are replaced with NULL.
SELECT string_to_array('abc##def', '##')
or SELECT string_to_array('abc def', ' ', 'def')
starts_with(str, delimiter[, null_str])
Arguments
- str: String expression to split.
- delimiter: Delimiter string to split on.
- null_str: Substring values to be replaced with
NULL
Aliases
- string_to_list
string_to_list
Alias of string_to_array.
trim_array
Removes the last n elements from the array.
DEPRECATED: use array_slice
instead!
trim_array(array, n)
Arguments
- array: Array expression. Can be a constant, column, or function, and any combination of array operators.
- n: Element to trim the array.
unnest
Transforms an array into rows.
Arguments
- array: Array expression to unnest. Can be a constant, column, or function, and any combination of array operators.
Examples
> select unnest(make_array(1, 2, 3, 4, 5));
+------------------------------------------------------------------+
| unnest(make_array(Int64(1),Int64(2),Int64(3),Int64(4),Int64(5))) |
+------------------------------------------------------------------+
| 1 |
| 2 |
| 3 |
| 4 |
| 5 |
+------------------------------------------------------------------+
> select unnest(range(0, 10));
+-----------------------------------+
| unnest(range(Int64(0),Int64(10))) |
+-----------------------------------+
| 0 |
| 1 |
| 2 |
| 3 |
| 4 |
| 5 |
| 6 |
| 7 |
| 8 |
| 9 |
+-----------------------------------+
range
Returns an Arrow array between start and stop with step. SELECT range(2, 10, 3) -> [2, 5, 8]
or SELECT range(DATE '1992-09-01', DATE '1993-03-01', INTERVAL '1' MONTH);
The range start..end contains all values with start <= x < end
. It is empty if start >= end
.
Step can not be 0 (then the range will be nonsense.).
Note that when the required range is a number, it accepts (stop), (start, stop), and (start, stop, step) as parameters, but when the required range is a date or timestamp, it must be 3 non-NULL parameters. For example,
SELECT range(3);
SELECT range(1,5);
SELECT range(1,5,1);
are allowed in number ranges
but in date and timestamp ranges, only
SELECT range(DATE '1992-09-01', DATE '1993-03-01', INTERVAL '1' MONTH);
SELECT range(TIMESTAMP '1992-09-01', TIMESTAMP '1993-03-01', INTERVAL '1' MONTH);
is allowed, and
SELECT range(DATE '1992-09-01', DATE '1993-03-01', NULL);
SELECT range(NULL, DATE '1993-03-01', INTERVAL '1' MONTH);
SELECT range(DATE '1992-09-01', NULL, INTERVAL '1' MONTH);
are not allowed
Arguments
- start: start of the range. Ints, timestamps, dates or string types that can be coerced to Date32 are supported.
- end: end of the range (not included). Type must be the same as start.
- step: increase by step (can not be 0). Steps less than a day are supported only for timestamp ranges.
Aliases
- generate_series
Struct Functions
For more struct functions see the new documentation here
unnest (struct)
Unwraps struct fields into columns.
Arguments
- struct: Object expression to unnest. Can be a constant, column, or function, and any combination of object operators.
Examples
> select * from foo;
+---------------------+
| column1 |
+---------------------+
| {a: 5, b: a string} |
+---------------------+
> select unnest(column1) from foo;
+-----------------------+-----------------------+
| unnest(foo.column1).a | unnest(foo.column1).b |
+-----------------------+-----------------------+
| 5 | a string |
+-----------------------+-----------------------+
Map Functions
map
Returns an Arrow map with the specified key-value pairs.
map(key, value)
map(key: value)
Arguments
- key: Expression to be used for key. Can be a constant, column, or function, any combination of arithmetic or string operators, or a named expression of previous listed.
- value: Expression to be used for value. Can be a constant, column, or function, any combination of arithmetic or string operators, or a named expression of previous listed.
Example
SELECT MAP(['POST', 'HEAD', 'PATCH'], [41, 33, null]);
----
{POST: 41, HEAD: 33, PATCH: }
SELECT MAP([[1,2], [3,4]], ['a', 'b']);
----
{[1, 2]: a, [3, 4]: b}
SELECT MAP { 'a': 1, 'b': 2 };
----
{a: 1, b: 2}
make_map
Returns an Arrow map with the specified key-value pairs.
make_map(key_1, value_1, ..., key_n, value_n)
Arguments
- key_n: Expression to be used for key. Can be a constant, column, or function, any combination of arithmetic or string operators, or a named expression of previous listed.
- value_n: Expression to be used for value. Can be a constant, column, or function, any combination of arithmetic or string operators, or a named expression of previous listed.
Example
SELECT MAKE_MAP('POST', 41, 'HEAD', 33, 'PATCH', null);
----
{POST: 41, HEAD: 33, PATCH: }
map_extract
Return a list containing the value for a given key or an empty list if the key is not contained in the map.
map_extract(map, key)
Arguments
map
: Map expression. Can be a constant, column, or function, and any combination of map operators.key
: Key to extract from the map. Can be a constant, column, or function, any combination of arithmetic or string operators, or a named expression of previous listed.
Example
SELECT map_extract(MAP {'a': 1, 'b': NULL, 'c': 3}, 'a');
----
[1]
Aliases
- element_at
map_keys
Return a list of all keys in the map.
map_keys(map)
Arguments
map
: Map expression. Can be a constant, column, or function, and any combination of map operators.
Example
SELECT map_keys(MAP {'a': 1, 'b': NULL, 'c': 3});
----
[a, b, c]
select map_keys(map([100, 5], [42,43]));
----
[100, 5]
map_values
Return a list of all values in the map.
map_values(map)
Arguments
map
: Map expression. Can be a constant, column, or function, and any combination of map operators.
Example
SELECT map_values(MAP {'a': 1, 'b': NULL, 'c': 3});
----
[1, , 3]
select map_values(map([100, 5], [42,43]));
----
[42, 43]
Other Functions
See the new documentation here
Scalar Functions (NEW)
Note: this documentation is in the process of being migrated to be automatically created from the codebase. Please see the Scalar Functions (old) page for the rest of the documentation.
Math Functions
log
Returns the base-x logarithm of a number. Can either provide a specified base, or if omitted then takes the base-10 of a number.
log(base, numeric_expression)
log(numeric_expression)
Arguments
- base: Base numeric expression to operate on. Can be a constant, column, or function, and any combination of operators.
- numeric_expression: Numeric expression to operate on. Can be a constant, column, or function, and any combination of operators.
Conditional Functions
coalesce
Returns the first of its arguments that is not null. Returns null if all arguments are null. This function is often used to substitute a default value for null values.
coalesce(expression1[, ..., expression_n])
Arguments
- expression1, expression_n: Expression to use if previous expressions are null. Can be a constant, column, or function, and any combination of arithmetic operators. Pass as many expression arguments as necessary.
Example
> select coalesce(null, null, 'datafusion');
+----------------------------------------+
| coalesce(NULL,NULL,Utf8("datafusion")) |
+----------------------------------------+
| datafusion |
+----------------------------------------+
ifnull
Alias of nvl.
nullif
Returns null if expression1 equals expression2; otherwise it returns expression1.
This can be used to perform the inverse operation of coalesce
.
nullif(expression1, expression2)
Arguments
- expression1: Expression to compare and return if equal to expression2. Can be a constant, column, or function, and any combination of operators.
- expression2: Expression to compare to expression1. Can be a constant, column, or function, and any combination of operators.
Example
> select nullif('datafusion', 'data');
+-----------------------------------------+
| nullif(Utf8("datafusion"),Utf8("data")) |
+-----------------------------------------+
| datafusion |
+-----------------------------------------+
> select nullif('datafusion', 'datafusion');
+-----------------------------------------------+
| nullif(Utf8("datafusion"),Utf8("datafusion")) |
+-----------------------------------------------+
| |
+-----------------------------------------------+
nvl
Returns expression2 if expression1 is NULL otherwise it returns expression1.
nvl(expression1, expression2)
Arguments
- expression1: Expression to return if not null. Can be a constant, column, or function, and any combination of operators.
- expression2: Expression to return if expr1 is null. Can be a constant, column, or function, and any combination of operators.
Example
> select nvl(null, 'a');
+---------------------+
| nvl(NULL,Utf8("a")) |
+---------------------+
| a |
+---------------------+\
> select nvl('b', 'a');
+--------------------------+
| nvl(Utf8("b"),Utf8("a")) |
+--------------------------+
| b |
+--------------------------+
Aliases
- ifnull
nvl2
Returns expression2 if expression1 is not NULL; otherwise it returns expression3.
nvl2(expression1, expression2, expression3)
Arguments
- expression1: Expression to test for null. Can be a constant, column, or function, and any combination of operators.
- expression2: Expression to return if expr1 is not null. Can be a constant, column, or function, and any combination of operators.
- expression3: Expression to return if expr1 is null. Can be a constant, column, or function, and any combination of operators.
Example
> select nvl2(null, 'a', 'b');
+--------------------------------+
| nvl2(NULL,Utf8("a"),Utf8("b")) |
+--------------------------------+
| b |
+--------------------------------+
> select nvl2('data', 'a', 'b');
+----------------------------------------+
| nvl2(Utf8("data"),Utf8("a"),Utf8("b")) |
+----------------------------------------+
| a |
+----------------------------------------+
String Functions
- ascii
- bit_length
- btrim
- char_length
- character_length
- chr
- concat
- concat_ws
- contains
- ends_with
- find_in_set
- initcap
- instr
- left
- length
- levenshtein
- lower
- lpad
- ltrim
- octet_length
- position
- repeat
- replace
- reverse
- right
- rpad
- rtrim
- split_part
- starts_with
- strpos
- substr
- substr_index
- substring
- substring_index
- to_hex
- translate
- trim
- upper
- uuid
ascii
Returns the Unicode character code of the first character in a string.
ascii(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select ascii('abc');
+--------------------+
| ascii(Utf8("abc")) |
+--------------------+
| 97 |
+--------------------+
> select ascii('🚀');
+-------------------+
| ascii(Utf8("🚀")) |
+-------------------+
| 128640 |
+-------------------+
Related functions:
bit_length
Returns the bit length of a string.
bit_length(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select bit_length('datafusion');
+--------------------------------+
| bit_length(Utf8("datafusion")) |
+--------------------------------+
| 80 |
+--------------------------------+
Related functions:
btrim
Trims the specified trim string from the start and end of a string. If no trim string is provided, all whitespace is removed from the start and end of the input string.
btrim(str[, trim_str])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- trim_str: String expression to operate on. Can be a constant, column, or function, and any combination of operators. Default is whitespace characters.
Example
> select btrim('__datafusion____', '_');
+-------------------------------------------+
| btrim(Utf8("__datafusion____"),Utf8("_")) |
+-------------------------------------------+
| datafusion |
+-------------------------------------------+
Aliases
- trim
Related functions:
char_length
Alias of character_length.
character_length
Returns the number of characters in a string.
character_length(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select character_length('Ångström');
+------------------------------------+
| character_length(Utf8("Ångström")) |
+------------------------------------+
| 8 |
+------------------------------------+
Aliases
- length
- char_length
Related functions:
chr
Returns the character with the specified ASCII or Unicode code value.
chr(expression)
Arguments
- expression: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select chr(128640);
+--------------------+
| chr(Int64(128640)) |
+--------------------+
| 🚀 |
+--------------------+
Related functions:
concat
Concatenates multiple strings together.
concat(str[, ..., str_n])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- str_n: Subsequent string expressions to concatenate.
Example
> select concat('data', 'f', 'us', 'ion');
+-------------------------------------------------------+
| concat(Utf8("data"),Utf8("f"),Utf8("us"),Utf8("ion")) |
+-------------------------------------------------------+
| datafusion |
+-------------------------------------------------------+
Related functions:
concat_ws
Concatenates multiple strings together with a specified separator.
concat_ws(separator, str[, ..., str_n])
Arguments
- separator: Separator to insert between concatenated strings.
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- str_n: Subsequent string expressions to concatenate. expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select concat_ws('_', 'data', 'fusion');
+--------------------------------------------------+
| concat_ws(Utf8("_"),Utf8("data"),Utf8("fusion")) |
+--------------------------------------------------+
| data_fusion |
+--------------------------------------------------+
Related functions:
contains
Return true if search_str is found within string (case-sensitive).
contains(str, search_str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- search_str: The string to search for in str.
Example
> select contains('the quick brown fox', 'row');
+---------------------------------------------------+
| contains(Utf8("the quick brown fox"),Utf8("row")) |
+---------------------------------------------------+
| true |
+---------------------------------------------------+
ends_with
Tests if a string ends with a substring.
ends_with(str, substr)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- substr: Substring to test for.
Example
> select ends_with('datafusion', 'soin');
+--------------------------------------------+
| ends_with(Utf8("datafusion"),Utf8("soin")) |
+--------------------------------------------+
| false |
+--------------------------------------------+
> select ends_with('datafusion', 'sion');
+--------------------------------------------+
| ends_with(Utf8("datafusion"),Utf8("sion")) |
+--------------------------------------------+
| true |
+--------------------------------------------+
find_in_set
Returns a value in the range of 1 to N if the string str is in the string list strlist consisting of N substrings.
find_in_set(str, strlist)
Arguments
- str: String expression to find in strlist.
- strlist: A string list is a string composed of substrings separated by , characters.
Example
> select find_in_set('b', 'a,b,c,d');
+----------------------------------------+
| find_in_set(Utf8("b"),Utf8("a,b,c,d")) |
+----------------------------------------+
| 2 |
+----------------------------------------+
initcap
Capitalizes the first character in each word in the input string. Words are delimited by non-alphanumeric characters.
initcap(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select initcap('apache datafusion');
+------------------------------------+
| initcap(Utf8("apache datafusion")) |
+------------------------------------+
| Apache Datafusion |
+------------------------------------+
Related functions:
instr
Alias of strpos.
left
Returns a specified number of characters from the left side of a string.
left(str, n)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- n: Number of characters to return.
Example
> select left('datafusion', 4);
+-----------------------------------+
| left(Utf8("datafusion"),Int64(4)) |
+-----------------------------------+
| data |
+-----------------------------------+
Related functions:
length
Alias of character_length.
levenshtein
Returns the Levenshtein distance
between the two given strings.
levenshtein(str1, str2)
Arguments
- str1: String expression to compute Levenshtein distance with str2.
- str2: String expression to compute Levenshtein distance with str1.
Example
> select levenshtein('kitten', 'sitting');
+---------------------------------------------+
| levenshtein(Utf8("kitten"),Utf8("sitting")) |
+---------------------------------------------+
| 3 |
+---------------------------------------------+
lower
Converts a string to lower-case.
lower(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select lower('Ångström');
+-------------------------+
| lower(Utf8("Ångström")) |
+-------------------------+
| ångström |
+-------------------------+
Related functions:
lpad
Pads the left side of a string with another string to a specified string length.
lpad(str, n[, padding_str])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- n: String length to pad to.
- padding_str: Optional string expression to pad with. Can be a constant, column, or function, and any combination of string operators. Default is a space.
Example
> select lpad('Dolly', 10, 'hello');
+---------------------------------------------+
| lpad(Utf8("Dolly"),Int64(10),Utf8("hello")) |
+---------------------------------------------+
| helloDolly |
+---------------------------------------------+
Related functions:
ltrim
Trims the specified trim string from the beginning of a string. If no trim string is provided, all whitespace is removed from the start of the input string.
ltrim(str[, trim_str])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- trim_str: String expression to trim from the beginning of the input string. Can be a constant, column, or function, and any combination of arithmetic operators. Default is whitespace characters.
Example
> select ltrim(' datafusion ');
+-------------------------------+
| ltrim(Utf8(" datafusion ")) |
+-------------------------------+
| datafusion |
+-------------------------------+
> select ltrim('___datafusion___', '_');
+-------------------------------------------+
| ltrim(Utf8("___datafusion___"),Utf8("_")) |
+-------------------------------------------+
| datafusion___ |
+-------------------------------------------+
Related functions:
octet_length
Returns the length of a string in bytes.
octet_length(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select octet_length('Ångström');
+--------------------------------+
| octet_length(Utf8("Ångström")) |
+--------------------------------+
| 10 |
+--------------------------------+
Related functions:
position
Alias of strpos.
repeat
Returns a string with an input string repeated a specified number.
repeat(str, n)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- n: Number of times to repeat the input string.
Example
> select repeat('data', 3);
+-------------------------------+
| repeat(Utf8("data"),Int64(3)) |
+-------------------------------+
| datadatadata |
+-------------------------------+
replace
Replaces all occurrences of a specified substring in a string with a new substring.
replace(str, substr, replacement)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- substr: Substring expression to replace in the input string. Substring expression expression to operate on. Can be a constant, column, or function, and any combination of operators.
- replacement: Replacement substring expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select replace('ABabbaBA', 'ab', 'cd');
+-------------------------------------------------+
| replace(Utf8("ABabbaBA"),Utf8("ab"),Utf8("cd")) |
+-------------------------------------------------+
| ABcdbaBA |
+-------------------------------------------------+
reverse
Reverses the character order of a string.
reverse(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select reverse('datafusion');
+-----------------------------+
| reverse(Utf8("datafusion")) |
+-----------------------------+
| noisufatad |
+-----------------------------+
right
Returns a specified number of characters from the right side of a string.
right(str, n)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- n: Number of characters to return
Example
> select right('datafusion', 6);
+------------------------------------+
| right(Utf8("datafusion"),Int64(6)) |
+------------------------------------+
| fusion |
+------------------------------------+
Related functions:
rpad
Pads the right side of a string with another string to a specified string length.
rpad(str, n[, padding_str])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- n: String length to pad to.
- padding_str: String expression to pad with. Can be a constant, column, or function, and any combination of string operators. Default is a space.
Example
> select rpad('datafusion', 20, '_-');
+-----------------------------------------------+
| rpad(Utf8("datafusion"),Int64(20),Utf8("_-")) |
+-----------------------------------------------+
| datafusion_-_-_-_-_- |
+-----------------------------------------------+
Related functions:
rtrim
Trims the specified trim string from the end of a string. If no trim string is provided, all whitespace is removed from the end of the input string.
rtrim(str[, trim_str])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- trim_str: String expression to trim from the end of the input string. Can be a constant, column, or function, and any combination of arithmetic operators. Default is whitespace characters.
Example
> select rtrim(' datafusion ');
+-------------------------------+
| rtrim(Utf8(" datafusion ")) |
+-------------------------------+
| datafusion |
+-------------------------------+
> select rtrim('___datafusion___', '_');
+-------------------------------------------+
| rtrim(Utf8("___datafusion___"),Utf8("_")) |
+-------------------------------------------+
| ___datafusion |
+-------------------------------------------+
Related functions:
split_part
Splits a string based on a specified delimiter and returns the substring in the specified position.
split_part(str, delimiter, pos)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- delimiter: String or character to split on.
- pos: Position of the part to return.
Example
> select split_part('1.2.3.4.5', '.', 3);
+--------------------------------------------------+
| split_part(Utf8("1.2.3.4.5"),Utf8("."),Int64(3)) |
+--------------------------------------------------+
| 3 |
+--------------------------------------------------+
starts_with
Tests if a string starts with a substring.
starts_with(str, substr)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- substr: Substring to test for.
Example
> select starts_with('datafusion','data');
+----------------------------------------------+
| starts_with(Utf8("datafusion"),Utf8("data")) |
+----------------------------------------------+
| true |
+----------------------------------------------+
strpos
Returns the starting position of a specified substring in a string. Positions begin at 1. If the substring does not exist in the string, the function returns 0.
strpos(str, substr)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- substr: Substring expression to search for.
Example
> select strpos('datafusion', 'fus');
+----------------------------------------+
| strpos(Utf8("datafusion"),Utf8("fus")) |
+----------------------------------------+
| 5 |
+----------------------------------------+
Aliases
- instr
- position
substr
Extracts a substring of a specified number of characters from a specific starting position in a string.
substr(str, start_pos[, length])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- start_pos: Character position to start the substring at. The first character in the string has a position of 1.
- length: Number of characters to extract. If not specified, returns the rest of the string after the start position.
Example
> select substr('datafusion', 5, 3);
+----------------------------------------------+
| substr(Utf8("datafusion"),Int64(5),Int64(3)) |
+----------------------------------------------+
| fus |
+----------------------------------------------+
Aliases
- substring
substr_index
Returns the substring from str before count occurrences of the delimiter delim. If count is positive, everything to the left of the final delimiter (counting from the left) is returned. If count is negative, everything to the right of the final delimiter (counting from the right) is returned.
substr_index(str, delim, count)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- delim: The string to find in str to split str.
- count: The number of times to search for the delimiter. Can be either a positive or negative number.
Example
> select substr_index('www.apache.org', '.', 1);
+---------------------------------------------------------+
| substr_index(Utf8("www.apache.org"),Utf8("."),Int64(1)) |
+---------------------------------------------------------+
| www |
+---------------------------------------------------------+
> select substr_index('www.apache.org', '.', -1);
+----------------------------------------------------------+
| substr_index(Utf8("www.apache.org"),Utf8("."),Int64(-1)) |
+----------------------------------------------------------+
| org |
+----------------------------------------------------------+
Aliases
- substring_index
substring
Alias of substr.
substring_index
Alias of substr_index.
to_hex
Converts an integer to a hexadecimal string.
to_hex(int)
Arguments
- int: Integer expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select to_hex(12345689);
+-------------------------+
| to_hex(Int64(12345689)) |
+-------------------------+
| bc6159 |
+-------------------------+
translate
Translates characters in a string to specified translation characters.
translate(str, chars, translation)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- chars: Characters to translate.
- translation: Translation characters. Translation characters replace only characters at the same position in the chars string.
Example
> select translate('twice', 'wic', 'her');
+--------------------------------------------------+
| translate(Utf8("twice"),Utf8("wic"),Utf8("her")) |
+--------------------------------------------------+
| there |
+--------------------------------------------------+
trim
Alias of btrim.
upper
Converts a string to upper-case.
upper(str)
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select upper('dataFusion');
+---------------------------+
| upper(Utf8("dataFusion")) |
+---------------------------+
| DATAFUSION |
+---------------------------+
Related functions:
uuid
Returns UUID v4
string value which is unique per row.
uuid()
Example
> select uuid();
+--------------------------------------+
| uuid() |
+--------------------------------------+
| 6ec17ef8-1934-41cc-8d59-d0c8f9eea1f0 |
+--------------------------------------+
Binary String Functions
decode
Decode binary data from textual representation in string.
decode(expression, format)
Arguments
- expression: Expression containing encoded string data
- format: Same arguments as encode
Related functions:
encode
Encode binary data into a textual representation.
encode(expression, format)
Arguments
- expression: Expression containing string or binary data
- format: Supported formats are:
base64
,hex
Related functions:
Regular Expression Functions
Apache DataFusion uses a PCRE-like regular expression syntax (minus support for several features including look-around and backreferences). The following regular expression functions are supported:
regexp_like
Returns true if a regular expression has at least one match in a string, false otherwise.
regexp_like(str, regexp[, flags])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- regexp: Regular expression to operate on. Can be a constant, column, or function, and any combination of operators.
- flags: Optional regular expression flags that control the behavior of the regular expression. The following flags are supported:
- i: case-insensitive: letters match both upper and lower case
- m: multi-line mode: ^ and $ match begin/end of line
- s: allow . to match \n
- R: enables CRLF mode: when multi-line mode is enabled, \r\n is used
- U: swap the meaning of x* and x*?
Example
select regexp_like('Köln', '[a-zA-Z]ö[a-zA-Z]{2}');
+--------------------------------------------------------+
| regexp_like(Utf8("Köln"),Utf8("[a-zA-Z]ö[a-zA-Z]{2}")) |
+--------------------------------------------------------+
| true |
+--------------------------------------------------------+
SELECT regexp_like('aBc', '(b|d)', 'i');
+--------------------------------------------------+
| regexp_like(Utf8("aBc"),Utf8("(b|d)"),Utf8("i")) |
+--------------------------------------------------+
| true |
+--------------------------------------------------+
Additional examples can be found here
regexp_match
Returns a list of regular expression matches in a string.
regexp_match(str, regexp[, flags])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- regexp: Regular expression to match against. Can be a constant, column, or function.
- flags: Optional regular expression flags that control the behavior of the regular expression. The following flags are supported:
- i: case-insensitive: letters match both upper and lower case
- m: multi-line mode: ^ and $ match begin/end of line
- s: allow . to match \n
- R: enables CRLF mode: when multi-line mode is enabled, \r\n is used
- U: swap the meaning of x* and x*?
Example
> select regexp_match('Köln', '[a-zA-Z]ö[a-zA-Z]{2}');
+---------------------------------------------------------+
| regexp_match(Utf8("Köln"),Utf8("[a-zA-Z]ö[a-zA-Z]{2}")) |
+---------------------------------------------------------+
| [Köln] |
+---------------------------------------------------------+
SELECT regexp_match('aBc', '(b|d)', 'i');
+---------------------------------------------------+
| regexp_match(Utf8("aBc"),Utf8("(b|d)"),Utf8("i")) |
+---------------------------------------------------+
| [B] |
+---------------------------------------------------+
Additional examples can be found here
regexp_replace
Replaces substrings in a string that match a regular expression.
regexp_replace(str, regexp, replacement[, flags])
Arguments
- str: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- regexp: Regular expression to match against. Can be a constant, column, or function.
- replacement: Replacement string expression to operate on. Can be a constant, column, or function, and any combination of operators.
- flags: Optional regular expression flags that control the behavior of the regular expression. The following flags are supported:
- g: (global) Search globally and don't return after the first match
- i: case-insensitive: letters match both upper and lower case
- m: multi-line mode: ^ and $ match begin/end of line
- s: allow . to match \n
- R: enables CRLF mode: when multi-line mode is enabled, \r\n is used
- U: swap the meaning of x* and x*?
Example
> select regexp_replace('foobarbaz', 'b(..)', 'X\\1Y', 'g');
+------------------------------------------------------------------------+
| regexp_replace(Utf8("foobarbaz"),Utf8("b(..)"),Utf8("X\1Y"),Utf8("g")) |
+------------------------------------------------------------------------+
| fooXarYXazY |
+------------------------------------------------------------------------+
SELECT regexp_replace('aBc', '(b|d)', 'Ab\\1a', 'i');
+-------------------------------------------------------------------+
| regexp_replace(Utf8("aBc"),Utf8("(b|d)"),Utf8("Ab\1a"),Utf8("i")) |
+-------------------------------------------------------------------+
| aAbBac |
+-------------------------------------------------------------------+
Additional examples can be found here
Time and Date Functions
to_date
Converts a value to a date (YYYY-MM-DD
).
Supports strings, integer and double types as input.
Strings are parsed as YYYY-MM-DD (e.g. '2023-07-20') if no Chrono formats are provided.
Integers and doubles are interpreted as days since the unix epoch (1970-01-01T00:00:00Z
).
Returns the corresponding date.
Note: to_date
returns Date32, which represents its values as the number of days since unix epoch(1970-01-01
) stored as signed 32 bit value. The largest supported date value is 9999-12-31
.
to_date('2017-05-31', '%Y-%m-%d')
Arguments
- expression: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- format_n: Optional Chrono format strings to use to parse the expression. Formats will be tried in the order they appear with the first successful one being returned. If none of the formats successfully parse the expression an error will be returned.
Example
> select to_date('2023-01-31');
+-----------------------------+
| to_date(Utf8("2023-01-31")) |
+-----------------------------+
| 2023-01-31 |
+-----------------------------+
> select to_date('2023/01/31', '%Y-%m-%d', '%Y/%m/%d');
+---------------------------------------------------------------+
| to_date(Utf8("2023/01/31"),Utf8("%Y-%m-%d"),Utf8("%Y/%m/%d")) |
+---------------------------------------------------------------+
| 2023-01-31 |
+---------------------------------------------------------------+
Additional examples can be found here
Struct Functions
named_struct
Returns an Arrow struct using the specified name and input expressions pairs.
named_struct(expression1_name, expression1_input[, ..., expression_n_name, expression_n_input])
Arguments
- expression_n_name: Name of the column field. Must be a constant string.
- expression_n_input: Expression to include in the output struct. Can be a constant, column, or function, and any combination of arithmetic or string operators.
Example
For example, this query converts two columns a
and b
to a single column with
a struct type of fields field_a
and field_b
:
> select * from t;
+---+---+
| a | b |
+---+---+
| 1 | 2 |
| 3 | 4 |
+---+---+
> select named_struct('field_a', a, 'field_b', b) from t;
+-------------------------------------------------------+
| named_struct(Utf8("field_a"),t.a,Utf8("field_b"),t.b) |
+-------------------------------------------------------+
| {field_a: 1, field_b: 2} |
| {field_a: 3, field_b: 4} |
+-------------------------------------------------------+
row
Alias of struct.
struct
Returns an Arrow struct using the specified input expressions optionally named.
Fields in the returned struct use the optional name or the cN
naming convention.
For example: c0
, c1
, c2
, etc.
struct(expression1[, ..., expression_n])
Arguments
- expression1, expression_n: Expression to include in the output struct. Can be a constant, column, or function, any combination of arithmetic or string operators.
Example
For example, this query converts two columns a
and b
to a single column with
a struct type of fields field_a
and c1
:
> select * from t;
+---+---+
| a | b |
+---+---+
| 1 | 2 |
| 3 | 4 |
+---+---+
-- use default names `c0`, `c1`
> select struct(a, b) from t;
+-----------------+
| struct(t.a,t.b) |
+-----------------+
| {c0: 1, c1: 2} |
| {c0: 3, c1: 4} |
+-----------------+
-- name the first field `field_a`
select struct(a as field_a, b) from t;
+--------------------------------------------------+
| named_struct(Utf8("field_a"),t.a,Utf8("c1"),t.b) |
+--------------------------------------------------+
| {field_a: 1, c1: 2} |
| {field_a: 3, c1: 4} |
+--------------------------------------------------+
Aliases
- row
Hashing Functions
digest
Computes the binary hash of an expression using the specified algorithm.
digest(expression, algorithm)
Arguments
- expression: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
- algorithm: String expression specifying algorithm to use. Must be one of:
- md5
- sha224
- sha256
- sha384
- sha512
- blake2s
- blake2b
- blake3
Example
> select digest('foo', 'sha256');
+------------------------------------------+
| digest(Utf8("foo"), Utf8("sha256")) |
+------------------------------------------+
| <binary_hash_result> |
+------------------------------------------+
md5
Computes an MD5 128-bit checksum for a string expression.
md5(expression)
Arguments
- expression: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select md5('foo');
+-------------------------------------+
| md5(Utf8("foo")) |
+-------------------------------------+
| <md5_checksum_result> |
+-------------------------------------+
sha224
Computes the SHA-224 hash of a binary string.
sha224(expression)
Arguments
- expression: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select sha224('foo');
+------------------------------------------+
| sha224(Utf8("foo")) |
+------------------------------------------+
| <sha224_hash_result> |
+------------------------------------------+
sha256
Computes the SHA-256 hash of a binary string.
sha256(expression)
Arguments
- expression: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select sha256('foo');
+--------------------------------------+
| sha256(Utf8("foo")) |
+--------------------------------------+
| <sha256_hash_result> |
+--------------------------------------+
sha384
Computes the SHA-384 hash of a binary string.
sha384(expression)
Arguments
- expression: String expression to operate on. Can be a constant, column, or function, and any combination of operators.
Example
> select sha384('foo');
+-----------------------------------------+
| sha384(Utf8("foo")) |
+-----------------------------------------+
| <sha384_hash_result> |
+-----------------------------------------+
sha512
Computes the SHA-512 hash of a binary string.
sha512(expression)
Arguments
- expression: String
Example
> select sha512('foo');
+-------------------------------------------+
| sha512(Utf8("foo")) |
+-------------------------------------------+
| <sha512_hash_result> |
+-------------------------------------------+
Other Functions
arrow_cast
Casts a value to a specific Arrow data type.
arrow_cast(expression, datatype)
Arguments
- expression: Expression to cast. The expression can be a constant, column, or function, and any combination of operators.
- datatype: Arrow data type name to cast to, as a string. The format is the same as that returned by [
arrow_typeof
]
Example
> select arrow_cast(-5, 'Int8') as a,
arrow_cast('foo', 'Dictionary(Int32, Utf8)') as b,
arrow_cast('bar', 'LargeUtf8') as c,
arrow_cast('2023-01-02T12:53:02', 'Timestamp(Microsecond, Some("+08:00"))') as d
;
+----+-----+-----+---------------------------+
| a | b | c | d |
+----+-----+-----+---------------------------+
| -5 | foo | bar | 2023-01-02T12:53:02+08:00 |
+----+-----+-----+---------------------------+
arrow_typeof
Returns the name of the underlying Arrow data type of the expression.
arrow_typeof(expression)
Arguments
- expression: Expression to evaluate. The expression can be a constant, column, or function, and any combination of operators.
Example
> select arrow_typeof('foo'), arrow_typeof(1);
+---------------------------+------------------------+
| arrow_typeof(Utf8("foo")) | arrow_typeof(Int64(1)) |
+---------------------------+------------------------+
| Utf8 | Int64 |
+---------------------------+------------------------+
get_field
Returns a field within a map or a struct with the given key.
Note: most users invoke get_field
indirectly via field access
syntax such as my_struct_col['field_name']
which results in a call to
get_field(my_struct_col, 'field_name')
.
get_field(expression1, expression2)
Arguments
- expression1: The map or struct to retrieve a field for.
- expression2: The field name in the map or struct to retrieve data for. Must evaluate to a string.
Example
> create table t (idx varchar, v varchar) as values ('data','fusion'), ('apache', 'arrow');
> select struct(idx, v) from t as c;
+-------------------------+
| struct(c.idx,c.v) |
+-------------------------+
| {c0: data, c1: fusion} |
| {c0: apache, c1: arrow} |
+-------------------------+
> select get_field((select struct(idx, v) from t), 'c0');
+-----------------------+
| struct(t.idx,t.v)[c0] |
+-----------------------+
| data |
| apache |
+-----------------------+
> select get_field((select struct(idx, v) from t), 'c1');
+-----------------------+
| struct(t.idx,t.v)[c1] |
+-----------------------+
| fusion |
| arrow |
+-----------------------+
version
Returns the version of DataFusion.
version()
Example
> select version();
+--------------------------------------------+
| version() |
+--------------------------------------------+
| Apache DataFusion 42.0.0, aarch64 on macos |
+--------------------------------------------+
Aggregate Functions
Aggregate functions operate on a set of values to compute a single result.
Note: this documentation is in the process of being migrated to be automatically created from the codebase. Please see the Aggregate Functions (new) page for the rest of the documentation.
Statistical
covar
Returns the covariance of a set of number pairs.
covar(expression1, expression2)
Arguments
- expression1: First expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression2: Second expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_slope
Returns the slope of the linear regression line for non-null pairs in aggregate columns. Given input column Y and X: regr_slope(Y, X) returns the slope (k in Y = k*X + b) using minimal RSS fitting.
regr_slope(expression1, expression2)
Arguments
- expression_y: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Expression to operate on. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_avgx
Computes the average of the independent variable (input) expression_x
for the non-null paired data points.
regr_avgx(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_avgy
Computes the average of the dependent variable (output) expression_y
for the non-null paired data points.
regr_avgy(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_count
Counts the number of non-null paired data points.
regr_count(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_intercept
Computes the y-intercept of the linear regression line. For the equation (y = kx + b), this function returns b
.
regr_intercept(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_r2
Computes the square of the correlation coefficient between the independent and dependent variables.
regr_r2(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_sxx
Computes the sum of squares of the independent variable.
regr_sxx(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_syy
Computes the sum of squares of the dependent variable.
regr_syy(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
regr_sxy
Computes the sum of products of paired data points.
regr_sxy(expression_y, expression_x)
Arguments
- expression_y: Dependent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
- expression_x: Independent variable. Can be a constant, column, or function, and any combination of arithmetic operators.
Window Functions
A window function performs a calculation across a set of table rows that are somehow related to the current row.
Note: this documentation is in the process of being migrated to be automatically created from the codebase. Please see the Window Functions (new) page for the rest of the documentation.
Window functions are comparable to the type of calculation that can be done with an aggregate function. However, window functions do not cause rows to become grouped into a single output row like non-window aggregate calls would. Instead, the rows retain their separate identities. Behind the scenes, the window function is able to access more than just the current row of the query result
Here is an example that shows how to compare each employee's salary with the average salary in his or her department:
SELECT depname, empno, salary, avg(salary) OVER (PARTITION BY depname) FROM empsalary;
+-----------+-------+--------+-------------------+
| depname | empno | salary | avg |
+-----------+-------+--------+-------------------+
| personnel | 2 | 3900 | 3700.0 |
| personnel | 5 | 3500 | 3700.0 |
| develop | 8 | 6000 | 5020.0 |
| develop | 10 | 5200 | 5020.0 |
| develop | 11 | 5200 | 5020.0 |
| develop | 9 | 4500 | 5020.0 |
| develop | 7 | 4200 | 5020.0 |
| sales | 1 | 5000 | 4866.666666666667 |
| sales | 4 | 4800 | 4866.666666666667 |
| sales | 3 | 4800 | 4866.666666666667 |
+-----------+-------+--------+-------------------+
A window function call always contains an OVER clause directly following the window function's name and argument(s). This is what syntactically distinguishes it from a normal function or non-window aggregate. The OVER clause determines exactly how the rows of the query are split up for processing by the window function. The PARTITION BY clause within OVER divides the rows into groups, or partitions, that share the same values of the PARTITION BY expression(s). For each row, the window function is computed across the rows that fall into the same partition as the current row. The previous example showed how to count the average of a column per partition.
You can also control the order in which rows are processed by window functions using ORDER BY within OVER. (The window ORDER BY does not even have to match the order in which the rows are output.) Here is an example:
SELECT depname, empno, salary,
rank() OVER (PARTITION BY depname ORDER BY salary DESC)
FROM empsalary;
+-----------+-------+--------+--------+
| depname | empno | salary | rank |
+-----------+-------+--------+--------+
| personnel | 2 | 3900 | 1 |
| develop | 8 | 6000 | 1 |
| develop | 10 | 5200 | 2 |
| develop | 11 | 5200 | 2 |
| develop | 9 | 4500 | 4 |
| develop | 7 | 4200 | 5 |
| sales | 1 | 5000 | 1 |
| sales | 4 | 4800 | 2 |
| personnel | 5 | 3500 | 2 |
| sales | 3 | 4800 | 2 |
+-----------+-------+--------+--------+
There is another important concept associated with window functions: for each row, there is a set of rows within its partition called its window frame. Some window functions act only on the rows of the window frame, rather than of the whole partition. Here is an example of using window frames in queries:
SELECT depname, empno, salary,
avg(salary) OVER(ORDER BY salary ASC ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS avg,
min(salary) OVER(ORDER BY empno ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cum_min
FROM empsalary
ORDER BY empno ASC;
+-----------+-------+--------+--------------------+---------+
| depname | empno | salary | avg | cum_min |
+-----------+-------+--------+--------------------+---------+
| sales | 1 | 5000 | 5000.0 | 5000 |
| personnel | 2 | 3900 | 3866.6666666666665 | 3900 |
| sales | 3 | 4800 | 4700.0 | 3900 |
| sales | 4 | 4800 | 4866.666666666667 | 3900 |
| personnel | 5 | 3500 | 3700.0 | 3500 |
| develop | 7 | 4200 | 4200.0 | 3500 |
| develop | 8 | 6000 | 5600.0 | 3500 |
| develop | 9 | 4500 | 4500.0 | 3500 |
| develop | 10 | 5200 | 5133.333333333333 | 3500 |
| develop | 11 | 5200 | 5466.666666666667 | 3500 |
+-----------+-------+--------+--------------------+---------+
When a query involves multiple window functions, it is possible to write out each one with a separate OVER clause, but this is duplicative and error-prone if the same windowing behavior is wanted for several functions. Instead, each windowing behavior can be named in a WINDOW clause and then referenced in OVER. For example:
SELECT sum(salary) OVER w, avg(salary) OVER w
FROM empsalary
WINDOW w AS (PARTITION BY depname ORDER BY salary DESC);
Syntax
The syntax for the OVER-clause is
function([expr])
OVER(
[PARTITION BY expr[, …]]
[ORDER BY expr [ ASC | DESC ][, …]]
[ frame_clause ]
)
where frame_clause is one of:
{ RANGE | ROWS | GROUPS } frame_start
{ RANGE | ROWS | GROUPS } BETWEEN frame_start AND frame_end
and frame_start and frame_end can be one of
UNBOUNDED PRECEDING
offset PRECEDING
CURRENT ROW
offset FOLLOWING
UNBOUNDED FOLLOWING
where offset is an non-negative integer.
RANGE and GROUPS modes require an ORDER BY clause (with RANGE the ORDER BY must specify exactly one column).
Aggregate functions
All aggregate functions can be used as window functions.
Ranking functions
rank
Rank of the current row with gaps; same as row_number of its first peer.
rank()
dense_rank
Rank of the current row without gaps; this function counts peer groups.
dense_rank()
ntile
Integer ranging from 1 to the argument value, dividing the partition as equally as possible.
ntile(expression)
Arguments
- expression: An integer describing the number groups the partition should be split into
Analytical functions
cume_dist
Relative rank of the current row: (number of rows preceding or peer with current row) / (total rows).
cume_dist()
percent_rank
Relative rank of the current row: (rank - 1) / (total rows - 1).
percent_rank()
lag
Returns value evaluated at the row that is offset rows before the current row within the partition; if there is no such row, instead return default (which must be of the same type as value). Both offset and default are evaluated with respect to the current row. If omitted, offset defaults to 1 and default to null.
lag(expression, offset, default)
Arguments
- expression: Expression to operate on
- offset: Integer. Specifies how many rows back the value of expression should be retrieved. Defaults to 1.
- default: The default value if the offset is not within the partition. Must be of the same type as expression.
lead
Returns value evaluated at the row that is offset rows after the current row within the partition; if there is no such row, instead return default (which must be of the same type as value). Both offset and default are evaluated with respect to the current row. If omitted, offset defaults to 1 and default to null.
lead(expression, offset, default)
Arguments
- expression: Expression to operate on
- offset: Integer. Specifies how many rows forward the value of expression should be retrieved. Defaults to 1.
- default: The default value if the offset is not within the partition. Must be of the same type as expression.
first_value
Returns value evaluated at the row that is the first row of the window frame.
first_value(expression)
Arguments
- expression: Expression to operate on
last_value
Returns value evaluated at the row that is the last row of the window frame.
last_value(expression)
Arguments
- expression: Expression to operate on
nth_value
Returns value evaluated at the row that is the nth row of the window frame (counting from 1); null if no such row.
nth_value(expression, n)
Arguments
- expression: The name the column of which nth value to retrieve
- n: Integer. Specifies the n in nth