sparklyr (version 1.0.4)

stream_write_console: Write Console Stream

Description

Writes a Spark dataframe stream into console logs.

Usage

stream_write_console(x, mode = c("append", "complete", "update"),
  options = list(), trigger = stream_trigger_interval(), ...)

Arguments

x

A Spark DataFrame or dplyr operation

mode

Specifies how data is written to a streaming sink. Valid values are "append", "complete" or "update".

options

A list of strings with additional options.

trigger

The trigger for the stream query, defaults to micro-batches runnnig every 5 seconds. See stream_trigger_interval and stream_trigger_continuous.

...

Optional arguments; currently unused.

See Also

Other Spark stream serialization: stream_read_csv, stream_read_json, stream_read_kafka, stream_read_orc, stream_read_parquet, stream_read_scoket, stream_read_text, 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")

sdf_len(sc, 10) %>% dplyr::transmute(text = as.character(id)) %>% spark_write_text("text-in")

stream <- stream_read_text(sc, "text-in") %>% stream_write_console()

stream_stop(stream)

# }
# NOT RUN {
# }