stream_read_orc {sparklyr} | R Documentation |
Reads an ORC stream as a Spark dataframe stream.
stream_read_orc(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. |
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_parquet
,
stream_read_scoket
,
stream_read_text
,
stream_write_console
,
stream_write_csv
,
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_orc("orc-in") stream <- stream_read_orc(sc, "orc-in") %>% stream_write_orc("orc-out") stream_stop(stream) ## End(Not run)