stream_read_parquet | R Documentation |
Reads a parquet stream as a Spark dataframe stream.
stream_read_parquet(
sc,
path,
name = NULL,
columns = NULL,
options = list(),
...
)
sc |
A |
path |
The path to the file. Needs to be accessible from the cluster. Supports the ‘"hdfs://"’, ‘"s3a://"’ and ‘"file://"’ protocols. |
name |
The name to assign to the newly generated stream. |
columns |
A vector of column names or a named vector of column types.
If specified, the elements can be |
options |
A list of strings with additional options. |
... |
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_socket()
,
stream_read_text()
,
stream_write_console()
,
stream_write_csv()
,
stream_write_delta()
,
stream_write_json()
,
stream_write_kafka()
,
stream_write_memory()
,
stream_write_orc()
,
stream_write_parquet()
,
stream_write_text()
## Not run:
sc <- spark_connect(master = "local")
sdf_len(sc, 10) %>% spark_write_parquet("parquet-in")
stream <- stream_read_parquet(sc, "parquet-in") %>% stream_write_parquet("parquet-out")
stream_stop(stream)
## End(Not run)
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