Read ORC Stream


Reads an stream as a Spark dataframe stream.


stream_read_orc(sc, path, name = NULL, columns = NULL, options = list(), ...)


Argument Description
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. If specified, the elements can be "binary" for BinaryType, "boolean" for BooleanType, "byte" for ByteType, "integer" for IntegerType, "integer64" for LongType, "double" for DoubleType, "character" for StringType, "timestamp" for TimestampType and "date" for DateType.
options A list of strings with additional options.
Optional arguments; currently unused.


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")


See Also

Other Spark stream serialization: stream_read_csv(), stream_read_delta(), stream_read_json(), stream_read_kafka(), stream_read_parquet(), 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()