tableToDF: Create a SparkDataFrame from a SparkSQL table or view

In SparkR: R Front End for 'Apache Spark'

Description

Returns the specified table or view as a SparkDataFrame. The table or view must already exist or have already been registered in the SparkSession.

Usage

tableToDF(tableName)

Arguments

tableName

the qualified or unqualified name that designates a table or view. If a database is specified, it identifies the table/view from the database. Otherwise, it first attempts to find a temporary view with the given name and then match the table/view from the current database.

Value

SparkDataFrame

Note

tableToDF since 2.0.0

Examples

## Not run: 
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
createOrReplaceTempView(df, "table")
new_df <- tableToDF("table")

## End(Not run)

SparkR documentation built on June 3, 2021, 5:05 p.m.