Writes a Spark dataframe stream into a table.
Usage
stream_write_table(
x,
path,
format = NULL,
mode = c("append", "complete", "update"),
checkpoint = file.path("checkpoints", random_string("")),
options = list(),
partition_by = NULL,
...
)Arguments
- x
A Spark DataFrame or dplyr operation
- path
The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols.
- format
Specifies format of data written to table E.g.
"delta","parquet". Defaults toNULLwhich will use system default format.- mode
Specifies how data is written to a streaming sink. Valid values are
"append","complete"or"update".- 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.
See also
Other Spark stream serialization:
stream_write_csv(),
stream_write_memory()