Write Memory Stream
Writes a Spark dataframe stream into a memory stream.
stream_write_memory(
x,
name = random_string("sparklyr_tmp_"),
mode = c("append", "complete", "update"),
trigger = stream_trigger_interval(),
checkpoint = file.path("checkpoints", name, random_string("")),
options = list(),
partition_by = NULL,
...
)x |
A Spark DataFrame or dplyr operation |
name |
The name to assign to the newly generated stream. |
mode |
Specifies how data is written to a streaming sink. Valid values are
|
trigger |
The trigger for the stream query, defaults to micro-batches runnnig
every 5 seconds. See |
checkpoint |
The location where the system will write all the checkpoint information to guarantee end-to-end fault-tolerance. |
options |
A list of strings with additional options. |
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_console(),
stream_write_csv(),
stream_write_delta(),
stream_write_json(),
stream_write_kafka(),
stream_write_orc(),
stream_write_parquet(),
stream_write_text()
## Not run:
sc <- spark_connect(master = "local")
dir.create("csv-in")
write.csv(iris, "csv-in/data.csv", row.names = FALSE)
csv_path <- file.path("file://", getwd(), "csv-in")
stream <- stream_read_csv(sc, csv_path) %>% stream_write_memory("csv-out")
stream_stop(stream)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.