Read the schema of a Spark DataFrame.
sdf_schema(x, expand_nested_cols = FALSE, expand_struct_cols = FALSE)An R
list, with each list element describing the
name and type of a column.
A spark_connection, ml_pipeline, or a tbl_spark.
Whether to expand columns containing nested array of structs (which are usually created by tidyr::nest on a Spark data frame)
Whether to expand columns containing structs
The type column returned gives the string representation of the
underlying Spark type for that column; for example, a vector of numeric
values would be returned with the type "DoubleType". Please see the
Spark Scala API Documentation
for information on what types are available and exposed by Spark.