Write Stream to Table
stream_write_table
Description
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
| Arguments | Description |
|---|---|
| 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 to NULL which 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()