stream_write_console
From sparklyr v1.0.4
by Javier Luraschi
Write Console Stream
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_intervalandstream_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 {
# }
Community examples
Looks like there are no examples yet.