Write Console Stream
Writes a Spark dataframe stream into console logs.
stream_write_console(
x,
mode = c("append", "complete", "update"),
options = list(),
trigger = stream_trigger_interval(),
partition_by = NULL,
...
)x |
A Spark DataFrame or dplyr operation |
mode |
Specifies how data is written to a streaming sink. Valid values are
|
options |
A list of strings with additional options. |
trigger |
The trigger for the stream query, defaults to micro-batches runnnig
every 5 seconds. See |
partition_by |
Partitions the output by the given list of columns. |
... |
Optional arguments; currently unused. |
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()
## 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)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.