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_interval
andstream_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 {
# }
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