misc#

Miscellaneous helper functions and classes.

Functions#

`get_nonconflicting_string()`	Returns a string distinct from given strings.
`print_sdf()`	Prints a spark dataframe in a deterministic way.
`copy_if_mutable()`	Returns a deep copy of argument if it is mutable.
`get_fullname()`	Returns the fully qualified name of the given object.
`escape_column_name()`	Escapes column name if it contains special characters.
`get_materialized_df()`	Returns a new DataFrame constructed after materializing.

get_nonconflicting_string(strs)#

Returns a string distinct from given strings.

print_sdf(sdf)#

Prints a spark dataframe in a deterministic way.

copy_if_mutable(value)#

Returns a deep copy of argument if it is mutable.

get_fullname(obj)#

Returns the fully qualified name of the given object.

escape_column_name(column_name)#

Escapes column name if it contains special characters.

Parameters: column_name (str) – The name of the column to check and potentially escape.
Return type: str

get_materialized_df(sdf, table_name)#

Returns a new DataFrame constructed after materializing.

Parameters

sdf (pyspark.sql.DataFrame) – DataFrame to be materialized.
table_name (str) – Name to be used to refer to the table. If a table with table_name already exists, an error is raised.

Return type

pyspark.sql.DataFrame

Mimics python random interface for discrete gaussian sampling.

class RNGWrapper(rng)#

Mimics python random interface for discrete gaussian sampling.

__init__(rng)#

Constructor.

randrange(high)#

Returns a random integer between 0 (inclusive) and high (exclusive).