Write JSON Stream
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(),
partition_by = NULL,
...
)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. |
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_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)
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