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stream_read_orc

Read ORC Stream


Description

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. 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.

See Also

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)

## End(Not run)

sparklyr

R Interface to Apache Spark

v1.6.2
Apache License 2.0 | file LICENSE
Authors
Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>), Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>), Wil Davis [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]
Initial release

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