sparklyr (version 1.7.1)

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(),
  partition_by = NULL,
  ...
)

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.

partition_by

Partitions the output by the given list of columns.

...

Optional arguments; currently unused.

See Also

Other Spark stream serialization: stream_read_csv(), stream_read_delta(), stream_read_json(), stream_read_kafka(), stream_read_orc(), stream_read_parquet(), stream_read_socket(), stream_read_text(), stream_write_csv(), stream_write_delta(), 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 {
# }