stream_read_json

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Read JSON Stream

Reads a JSON stream as a Spark dataframe stream.

Usage
stream_read_json(sc, path, name = NULL, columns = 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.

columns

A vector of column names or a named vector of column types.

options

A list of strings with additional options.

...

Optional arguments; currently unused.

See Also

Other Spark stream serialization: stream_read_csv, 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

Aliases
  • stream_read_json
Examples
# NOT RUN {
sc <- spark_connect(master = "local")

dir.create("json-in")
jsonlite::write_json(list(a = c(1,2), b = c(10,20)), "json-in/data.json")

json_path <- file.path("file://", getwd(), "json-in")

stream <- stream_read_json(sc, json_path) %>% stream_write_json("json-out")

stream_stop(stream)

# }
# NOT RUN {
# }
Documentation reproduced from package sparklyr, version 0.9.4, License: Apache License 2.0 | file LICENSE

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