Spark to Parquet

Converts an incoming Spark DataFrame/RDD into a parquet file.

Notice: This feature requires at least Apache Spark 1.5.

Options

Save mode
How to handle existing data.
Partitions
Overwrite default partition count. This can be useful to reduce output file count to e.g. one file.
Warning: This might result in serious performance issues on huge data sets. Use with caution!
See Spark documentation for more informations.

Input Ports

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Spark compatible connection (HDFS, WebHDFS, HttpFS, S3, Blob Storage, ...)
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Spark DataFrame/RDD

Output Ports

This node has no output ports

Views

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Workflows

Further Links

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