stream_write_json {sparklyr} | R Documentation |
Writes a Spark dataframe stream into a JSON stream.
stream_write_json(x, path, mode = c("append", "complete", "update"), trigger = stream_trigger_interval(), checkpoint = file.path(path, "checkpoints", random_string("")), options = list(), ...)
x |
A Spark DataFrame or dplyr operation |
path |
The destination path. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols. |
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. |
... |
Optional arguments; currently unused. |
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_console
,
stream_write_csv
,
stream_write_kafka
,
stream_write_memory
,
stream_write_orc
,
stream_write_parquet
,
stream_write_text
## Not run: sc <- spark_connect(master = "local") dir.create("json-in") jsonlite::write_json(list(a = c(1,2), b = c(10,20)), "json-in/data.json") json_path <- file.path("file://", getwd(), "json-in") stream <- stream_read_json(sc, json_path) %>% stream_write_json("json-out") stream_stop(stream) ## End(Not run)