file

Type:

Available in: Self-Managed

Consumes data from files on disk, emitting messages according to a chosen codec.

  • Common

  • Advanced

# Common config fields, showing default values
input:
  label: ""
  file:
    paths: [] # No default (required)
    scanner:
      lines: {}
    auto_replay_nacks: true
# All config fields, showing default values
input:
  label: ""
  file:
    paths: [] # No default (required)
    scanner:
      lines: {}
    delete_on_finish: false
    auto_replay_nacks: true

Metadata

This input adds the following metadata fields to each message:

- path
- mod_time_unix
- mod_time (RFC3339)

You can access these metadata fields using function interpolation.

Fields

paths

A list of paths to consume sequentially. Glob patterns are supported, including super globs (double star).

Type: array

scanner

The scanner by which the stream of bytes consumed will be broken out into individual messages. Scanners are useful for processing large sources of data without holding the entirety of it within memory. For example, the csv scanner allows you to process individual CSV rows without loading the entire CSV file in memory at once.

Type: scanner

Default: {"lines":{}} Requires version 4.25.0 or newer

delete_on_finish

Whether to delete input files from the disk once they are fully consumed.

Type: bool

Default: false

auto_replay_nacks

Whether messages that are rejected (nacked) at the output level should be automatically replayed indefinitely, eventually resulting in back pressure if the cause of the rejections is persistent. If set to false these messages will instead be deleted. Disabling auto replays can greatly improve memory efficiency of high throughput streams as the original shape of the data can be discarded immediately upon consumption and mutation.

Type: bool

Default: true

Examples

  • Read a Bunch of CSVs

If we wished to consume a directory of CSV files as structured documents we can use a glob pattern and the csv scanner:

input:
  file:
    paths: [ ./data/*.csv ]
    scanner:
      csv: {}