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Snap type:

Format

Description:

This Snap formats the incoming document from the upstream Snaps to Hadoop sequence file format, the native binary data format to persist intermediate data between different stages of MapReduce jobs.

To enable Snappy compression for sequence file, a cluster level setting needs to be set. Unlike Parquet or ORC writer the Sequence Formatter Snap will not have "Snappy" listed in the "compression" options.

Expected upstream Snaps: The upstream Snap for Sequence Formatter should output map/table/key-value formatted data. Valid data types include String, Integer, Number and Boolean.
Expected downstream Snaps: The Sequence Formatter Snap outputs binary data, so the downstream Snap must be a data store output Snap like (File Writer, HDFS Writer, etc.).

Prerequisites:

[None]

Support and limitations:

Works in Ultra Pipelines.

Account:

Accounts are not used with this Snap.

Views:

Input	This Snap has at most one document input view.
Output	This Snap has at most one binary output view.
Error	This Snap has at most one document error view and produces zero or more documents in the view.

Settings

Label

Required. The name for the Snap. You can modify this to be more specific, especially if you have more than one of the same Snap in your pipeline.

Key

Required. JSON path for the key.

Example: $input_column_name

Default value: [None]

Value

Required. JSON path for the value.

Example: $input_column_name

Default value: [None]

Compression type

Sequence file compression type. The options available include:

Record: Only values are compressed.
Block: Both keys and values are compressed.
[None]: Records are uncompressed when none is selected.

Default value: [None]

Compression codec

Fully qualified compression codec class name

Example: org.apache.hadoop.io.compress.GzipCodec

Settings

Troubleshooting