stream_read_orc
From sparklyr v1.0.4
by Javier Luraschi
Read ORC Stream
Reads an ORC stream as a Spark dataframe stream.
Usage
stream_read_orc(sc, path, name = NULL, columns = NULL,
options = list(), ...)Arguments
- sc
A
spark_connection.- 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.
See Also
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
Examples
# 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)
# }
# NOT RUN {
# }
Community examples
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