spark_read_csv(sc, name, path, header = TRUE, delimiter = ",", quote = "\"", escape = "\\", charset = "UTF-8", null_value = NULL, options = list(), repartition = 0, memory = TRUE, overwrite = TRUE)
TRUE
.,
."hdfs://"
.\
."UTF-8"
.NULL
.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.
When header
is FALSE
, the column names are generated with a V
prefix;
e.g. V1, V2, ...
.
spark_read_json
,
spark_read_parquet
,
spark_write_csv
,
spark_write_json
,
spark_write_parquet