avg
avg(value)
calculates simple average of values ignoring missing data (e.g null
values).
Arguments:
value
is any numeric value.
Return value:
Return value type is double
.
Examples:
SELECT avg(amount) FROM transactions;
avg |
---|
22.4 |
SELECT payment_type, avg(amount) FROM transactions;
cash_or_card | avg |
---|---|
cash | 22.1 |
card | 27.4 |
null | 18.02 |
count
count()
or count(*)
- counts rows irrespective of underlying data.
Arguments:
count
does not require arguments.
Return value:
Return value type is long
.
Examples:
- Count of rows in the transactions table.
SELECT count() FROM transactions;
count |
---|
100 |
- Count of rows in the transactions table aggregated by
payment_type
value.
SELECT payment_type, count() FROM transactions;
cash_or_card | count |
---|---|
cash | 25 |
card | 70 |
null | 5 |
:::note
null
values are aggregated with count()
.
:::
haversine_dist_deg
haversine_dist_deg(lat, lon, ts)
- calculates the traveled distance for a series of latitude and longitude points.
Arguments:
lat
is the latitude expressed as degrees in decimal format (double
)lon
is the longitude expressed as degrees in decimal format (double
)ts
is thetimestamp
for the data point
Return value:
Return value type is double
.
Examples:
SELECT car_id, haversine_dist_deg(lat, lon, k)
FROM table rides
ksum
ksum(value)
- adds values ignoring missing data (e.g null
values). Values are added using the
Kahan compensated sum algorithm. This is only beneficial for floating-point values such as float
or double
.
Arguments:
value
is any numeric value.
Return value:
Return value type is the same as the type of the argument.
Examples:
SELECT ksum(a)
FROM (SELECT rnd_double() a FROM long_sequence(100));
ksum |
---|
52.79143968514029 |
max
max(value)
- returns the highest value ignoring missing data (e.g null
values).
Arguments:
value
is any numeric value
Return value:
Return value type is the same as the type of the argument.
Examples:
SELECT max(amount) FROM transactions;
min |
---|
55.3 |
SELECT payment_type, max(amount) FROM transactions;
cash_or_card | amount |
---|---|
cash | 31.5 |
card | 55.3 |
null | 29.2 |
min
min(value)
- returns the lowest value ignoring missing data (e.g null
values).
Arguments:
value
is any numeric value
Return value:
Return value type is the same as the type of the argument.
Examples:
SELECT min(amount) FROM transactions;
min |
---|
12.5 |
SELECT payment_type, min(amount) FROM transactions;
cash_or_card | min |
---|---|
cash | 12.5 |
card | 15.3 |
null | 22.2 |
nsum
nsum(value)
- adds values ignoring missing data (e.g null
values). Values are added using the Neumaier sum algorithm. This is only beneficial for floating-point values such as float
or double
.
Arguments:
value
is any numeric value.
Return value:
Return value type is the same as the type of the argument.
Examples:
SELECT nsum(a)
FROM (SELECT rnd_double() a FROM long_sequence(100));
nsum |
---|
49.5442334742831 |
sum
sum(value)
- adds values ignoring missing data (e.g null
values).
Arguments:
value
is any numeric value.
Return value:
Return value type is the same as the type of the argument.
Examples:
SELECT sum(quantity) FROM transactions;
sum |
---|
100 |
SELECT item, sum(quantity) FROM transactions;
item | count |
---|---|
apple | 53 |
orange | 47 |
Overflow
sum
does not perform overflow check. To avoid overflow, you can cast the argument to wider type.
SELECT sum(cast(a AS LONG)) FROM table;