Read a JSON file into a Spark DataFrame
spark_read_json(sc, name, path, options = list(), repartition = 0,
memory = TRUE, overwrite = TRUE)The Spark connection
Name of table
The path to the file. Needs to be accessible from the cluster. Supports: "hdfs://" or "s3n://"
A list of strings with additional options.
Total of partitions used to distribute table or 0 (default) to avoid partitioning
Load data eagerly into memory
Overwrite the table with the given name if it already exists
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.
Other reading and writing data: spark_read_csv,
spark_read_parquet,
spark_write_csv,
spark_write_json,
spark_write_parquet