stream_read_csv

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Read CSV Stream

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_text, stream_write_csv, stream_write_json, stream_write_kafka, stream_write_memory, stream_write_orc, stream_write_parquet, stream_write_text

Aliases
  • stream_read_csv
Documentation reproduced from package sparklyr, version 0.9.3, License: Apache License 2.0 | file LICENSE

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