ft_sql_transformer {sparklyr} | R Documentation |
Transform a data set using SQL. Use the __THIS__
placeholder as a proxy for the active table.
ft_sql_transformer(x, input.col = NULL, output.col = NULL, sql, ...)
x |
An object (usually a |
input.col |
The name of the input column(s). |
output.col |
The name of the output column. |
sql |
A SQL statement. |
... |
Optional arguments; currently unused. |
Although this function accepts the input.col
and output.col
arguments, they are ignored – this interface is done purely for
compatibility with sdf_mutate
.
See http://spark.apache.org/docs/latest/ml-features.html for more information on the set of transformations available for DataFrame columns in Spark.
Other feature transformation routines: ft_binarizer
,
ft_bucketizer
,
ft_discrete_cosine_transform
,
ft_elementwise_product
,
ft_index_to_string
,
ft_one_hot_encoder
,
ft_quantile_discretizer
,
ft_regex_tokenizer
,
ft_string_indexer
,
ft_tokenizer
,
ft_vector_assembler
,
sdf_mutate