Reads a CSV stream as a Spark dataframe stream.

stream_read_csv(
  sc,
  path,
  name = NULL,
  header = TRUE,
  columns = NULL,
  delimiter = ",",
  quote = "\"",
  escape = "\\",
  charset = "UTF-8",
  null_value = NULL,
  options = list(),
  ...
)

Arguments

sc

A spark_connection.

path

The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols.

name

The name to assign to the newly generated stream.

header

Boolean; should the first row of data be used as a header? Defaults to TRUE.

columns

A vector of column names or a named vector of column types. If specified, the elements can be "binary" for BinaryType, "boolean" for BooleanType, "byte" for ByteType, "integer" for IntegerType, "integer64" for LongType, "double" for DoubleType, "character" for StringType, "timestamp" for TimestampType and "date" for DateType.

delimiter

The character used to delimit each column. Defaults to ','.

quote

The character used as a quote. Defaults to '"'.

escape

The character used to escape other characters. Defaults to '\'.

charset

The character set. Defaults to "UTF-8".

null_value

The character to use for null, or missing, values. Defaults to NULL.

options

A list of strings with additional options.

...

Optional arguments; currently unused.

See also

Examples

if (FALSE) { sc <- spark_connect(master = "local") dir.create("csv-in") write.csv(iris, "csv-in/data.csv", row.names = FALSE) csv_path <- file.path("file://", getwd(), "csv-in") stream <- stream_read_csv(sc, csv_path) %>% stream_write_csv("csv-out") stream_stop(stream) }