Hadoop FS Standalone

The Hadoop FS Standalone origin reads files from HDFS. You can also use the origin to read from Azure Blob storage. For information about supported versions, see Supported Systems and VersionsSupported Systems and Versions in the Data Collector documentation.

The files to be processed must all share a file name pattern and be fully written. The origin can use multiple threads to enable the parallel processing of files. Use the Hadoop FS Standalone origin only in configured for standalone execution mode.

When you configure the Hadoop FS Standalone origin, you define the directory to use, read order, file name pattern, file name pattern mode, and the first file to process. You can use glob patterns or regular expressions to define the file name pattern that you want to use.

When using the last-modified timestamp read order, you can configure the origin to read from subdirectories. To use multiple threads for processing, specify the number of threads to use. You can also enable reading compressed files. After processing a file, the Hadoop FS Standalone origin can keep, archive, or delete the file.

When the stops, the Hadoop FS Standalone origin notes where it stops reading. When the starts again, the origin continues processing from where it stopped by default. You can reset the origin reset the origin reset the origin to process all requested files.

Note: The origin processes files based on file names and locations. Having files with the same name in the same location can cause the origin to skip reading the duplicate files.

The origin generates record header attributes that enable you to use the origins of a record in processing.

When necessary, you can enable Kerberos authentication. You can also specify a Hadoop user to impersonate, define a Hadoop configuration file directory, and add Hadoop configuration properties as needed.

The origin can generate events for an event stream. For more information about dataflow triggers and the event framework, see Dataflow Triggers Overview.