Read a JSON file into a Spark DataFrame

Usage

spark_read_json(sc, name, path, options = list(), repartition = 0, memory = TRUE, overwrite = TRUE)

Arguments

sc
The Spark connection
name
Name of table
path
The path to the file. Needs to be accessible from the cluster. Supports: "hdfs://" or "s3n://"
options
A list of strings with additional options.
repartition
Total of partitions used to distribute table or 0 (default) to avoid partitioning
memory
Load data eagerly into memory
overwrite
Overwrite the table with the given name if it already exists

Description

Read a JSON file into a Spark DataFrame

Details

You can read data from HDFS (hdfs://), S3 (s3n://), as well as the local file system (file://).

If you are reading from a secure S3 bucket be sure that the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables are both defined.