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vastorbit.sql.functions.hamming_distance

vastorbit.sql.functions.hamming_distance(expr1: Annotated[str | list[str] | StringSQL | list[StringSQL], ''], expr2: Annotated[str | list[str] | StringSQL | list[StringSQL], '']) StringSQL

Calculates and returns the Hamming distance between two strings.

Parameters:
  • expr1 (SQLExpression) – Expression.

  • expr2 (SQLExpression) – Expression.

Returns:

SQL string.

Return type:

StringSQL

Examples

First, let’s import the VastFrame in order to create a dummy dataset.

from vastorbit import VastFrame

Now, let’s import the vastorbit SQL functions.

import vastorbit.sql.functions as vof

We can now build a dummy dataset.

df = VastFrame({"x": ["hello", "jello", "cello", "mello"]})

Now, let’s go ahead and apply the function.

df["hamming_distance_x"] = vof.hamming_distance(df["x"], 'hello')
display(df)
Abc
x
Varchar(5)
100%
123
hamming_distance_x
Bigint
100%
1cello1
2hello0
3mello1
4jello1

Note

It’s crucial to utilize vastorbit SQL functions in coding, as they can be updated over time with new syntax. While SQL functions typically remain stable, they may vary across platforms or versions. vastorbit effectively manages these changes, a task not achievable with pure SQL.

See also

VastFrame.eval() : Evaluates the expression.