spark_read_csv(sc, name, path, header = TRUE, columns = NULL, infer_schema = TRUE, delimiter = ",", quote = "\"", escape = "\\", charset = "UTF-8", null_value = NULL, options = list(), repartition = 0, memory = TRUE, overwrite = TRUE)
spark_connection
.TRUE
.TRUE
.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_load_table
,
spark_read_json
,
spark_read_parquet
,
spark_save_table
,
spark_write_csv
,
spark_write_json
,
spark_write_parquet