library(sparklyr)
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) Write Console Stream
R/stream_data.R
stream_write_console
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
| Arguments | Description |
|---|---|
| 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. |
Examples
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()