long_sequence() function may be used as a row generator to create table
data for testing. Basic usage of this function involves providing the number of
iterations required. Deterministic pseudo-random behavior can be achieved by
providing seed values when calling the function.
This function is commonly used in combination with random generator functions to produce mock data.
long_sequence(iterations)- generates rows
long_sequence(iterations, seed1, seed2)- generates rows deterministically
iterations: is a
long representing the number of rows to generate. -
long64 representing both parts of a
long_sequence() function can be used to generate very large datasets for
testing e.g. billions of rows.
long_sequence(iterations) is used to:
- Generate a number of rows defined by
- Generate a column
x:longof monotonically increasing long integers starting from 1, which can be accessed for queries.
long_sequence is used conjointly with
random generators, these
values are usually generated at random. The function supports a seed to be
passed in order to produce deterministic results.
Deterministic procedural generation makes it easy to test on vasts amounts of data without actually moving large files around across machines. Using the same seed on any machine at any time will consistently produce the same results for all random functions.
The results below will be the same on any machine at any time as long as they use the same seed in long_sequence.