Read JSON Stream
Reads a JSON stream as a Spark dataframe stream.
stream_read_json(sc, path, name = NULL, columns = NULL, options = list(), ...)
sc |
A |
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.
If specified, the elements can be |
options |
A list of strings with additional options. |
... |
Optional arguments; currently unused. |
Other Spark stream serialization:
stream_read_csv(),
stream_read_delta(),
stream_read_kafka(),
stream_read_orc(),
stream_read_parquet(),
stream_read_socket(),
stream_read_text(),
stream_write_console(),
stream_write_csv(),
stream_write_delta(),
stream_write_json(),
stream_write_kafka(),
stream_write_memory(),
stream_write_orc(),
stream_write_parquet(),
stream_write_text()
## 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)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.