sdf_schema: Read the Schema of a Spark DataFrame

In sparklyr: R Interface to Apache Spark

Read the Schema of a Spark DataFrame

Description

Read the schema of a Spark DataFrame.

Usage

sdf_schema(x, expand_nested_cols = FALSE, expand_struct_cols = FALSE)

Arguments

x	A spark_connection, ml_pipeline, or a tbl_spark.
expand_nested_cols	Whether to expand columns containing nested array of structs (which are usually created by tidyr::nest on a Spark data frame)
expand_struct_cols	Whether to expand columns containing structs

Details

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.

Value

An R list, with each list element describing the name and type of a column.

sparklyr documentation built on May 29, 2024, 2:58 a.m.