file
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)
codec: lines
# All config fields, showing default values
input:
label: ""
file:
paths: [] # No default (required)
codec: lines
max_buffer: 1000000
delete_on_finish: false
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
codec
The way in which the bytes of a data source should be converted into discrete messages, codecs are useful for specifying how large files or continuous streams of data might be processed in small chunks rather than loading it all in memory. It's possible to consume lines using a custom delimiter with the delim:x codec, where x is the character sequence custom delimiter. Codecs can be chained with /, for example a gzip compressed CSV file can be consumed with the codec gzip/csv.
Type: string
Default: "lines"
| Option | Summary |
|---|---|
auto | EXPERIMENTAL: Attempts to derive a codec for each file based on information such as the extension. For example, a .tar.gz file would be consumed with the gzip/tar codec. Defaults to all-bytes. |
all-bytes | Consume the entire file as a single binary message. |
avro-ocf:marshaler=x | EXPERIMENTAL: Consume a stream of Avro OCF datum. The marshaler parameter is optional and has the options: goavro (default), json. Use goavro if OCF contains logical types. |
chunker:x | Consume the file in chunks of a given number of bytes. |
csv | Consume structured rows as comma separated values, the first row must be a header row. |
csv:x | Consume structured rows as values separated by a custom delimiter, the first row must be a header row. The custom delimiter must be a single character, e.g. the codec "csv:\t" would consume a tab delimited file. |
csv-safe | Consume structured rows like csv, but sends messages with empty maps on failure to parse. Includes row number and parsing errors (if any) in the message's metadata. |
csv-safe:x | Consume structured rows like csv:x as values separated by a custom delimiter, but sends messages with empty maps on failure to parse. The custom delimiter must be a single character, e.g. the codec "csv-safe:\t" would consume a tab delimited file. Includes row number and parsing errors (if any) in the message's metadata. |
delim:x | Consume the file in segments divided by a custom delimiter. |
gzip | Decompress a gzip file, this codec should precede another codec, e.g. gzip/all-bytes, gzip/tar, gzip/csv, etc. |
pgzip | Decompress a gzip file in parallel, this codec should precede another codec, e.g. pgzip/all-bytes, pgzip/tar, pgzip/csv, etc. |
lines | Consume the file in segments divided by linebreaks. |
multipart | Consumes the output of another codec and batches messages together. A batch ends when an empty message is consumed. For example, the codec lines/multipart could be used to consume multipart messages where an empty line indicates the end of each batch. |
regex:(?m)^\d\d:\d\d:\d\d | Consume the file in segments divided by regular expression. |
skipbom | Skip one or more byte order marks for each opened reader, this codec should precede another codec, e.g. skipbom/csv, etc. |
tar | Parse the file as a tar archive, and consume each file of the archive as a message. |
# Examples
codec: lines
codec: "delim:\t"
codec: delim:foobar
codec: gzip/csv
max_buffer
The largest token size expected when consuming files with a tokenised codec such as lines.
Type: int
Default: 1000000
delete_on_finish
Whether to delete input files from the disk once they are fully consumed.
Type: bool
Default: false
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 codec:
input:
file:
paths: [ ./data/*.csv ]
codec: csv