sparklyr (version 1.0.4)

stream_read_csv: Read CSV Stream

Description

Reads a CSV stream as a Spark dataframe stream.

Usage

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.

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

Other Spark stream serialization: stream_read_json, stream_read_kafka, stream_read_orc, stream_read_parquet, stream_read_scoket, stream_read_text, stream_write_console, stream_write_csv, stream_write_json, stream_write_kafka, stream_write_memory, stream_write_orc, stream_write_parquet, stream_write_text

Examples

# NOT RUN {
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)

# }
# NOT RUN {
# }