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filelogreceiver

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Filelog Receiver

Status
Stability beta
Supported pipeline types logs
Distributions contrib

Tails and parses logs from files.

Configuration

Field Default Description
include required A list of file glob patterns that match the file paths to be read
exclude [] A list of file glob patterns to exclude from reading
start_at end At startup, where to start reading logs from the file. Options are beginning or end
multiline A multiline configuration block. See below for more details
force_flush_period 500ms Time since last read of data from file, after which currently buffered log should be send to pipeline. Takes time.Duration (e.g. 10s, 1m, or 500ms) as value. Zero means waiting for new data forever
encoding utf-8 The encoding of the file being read. See the list of supported encodings below for available options
preserve_leading_whitespaces false Whether to preserve leading whitespaces.
preserve_trailing_whitespaces false Whether to preserve trailing whitespaces.
include_file_name true Whether to add the file name as the attribute log.file.name.
include_file_path false Whether to add the file path as the attribute log.file.path.
include_file_name_resolved false Whether to add the file name after symlinks resolution as the attribute log.file.name_resolved.
include_file_path_resolved false Whether to add the file path after symlinks resolution as the attribute log.file.path_resolved.
poll_interval 200ms The duration between filesystem polls
fingerprint_size 1kb The number of bytes with which to identify a file. The first bytes in the file are used as the fingerprint. Decreasing this value at any point will cause existing fingerprints to forgotten, meaning that all files will be read from the beginning (one time)
max_log_size 1MiB The maximum size of a log entry to read. A log entry will be truncated if it is larger than max_log_size. Protects against reading large amounts of data into memory
max_concurrent_files 1024 The maximum number of log files from which logs will be read concurrently. If the number of files matched in the include pattern exceeds this number, then files will be processed in batches.
max_batches 0 Only applicable when files must be batched in order to respect max_concurrent_files. This value limits the number of batches that will be processed during a single poll interval. A value of 0 indicates no limit.
delete_after_read false If true, each log file will be read and then immediately deleted. Requires that the filelog.allowFileDeletion feature gate is enabled.
attributes {} A map of key: value pairs to add to the entry's attributes
resource {} A map of key: value pairs to add to the entry's resource
operators [] An array of operators. See below for more details
storage none The ID of a storage extension to be used to store file checkpoints. File checkpoints allow the receiver to pick up where it left off in the case of a collector restart. If no storage extension is used, the receiver will manage checkpoints in memory only.
header nil Specifies options for parsing header metadata. Requires that the filelog.allowHeaderMetadataParsing feature gate is enabled. See below for details.
header.pattern required for header metadata parsing A regex that matches every header line.
header.metadata_operators required for header metadata parsing A list of operators used to parse metadata from the header.

Note that by default, no logs will be read from a file that is not actively being written to because start_at defaults to end.

Operators

Each operator performs a simple responsibility, such as parsing a timestamp or JSON. Chain together operators to process logs into a desired format.

  • Every operator has a type.
  • Every operator can be given a unique id. If you use the same type of operator more than once in a pipeline, you must specify an id. Otherwise, the id defaults to the value of type.
  • Operators will output to the next operator in the pipeline. The last operator in the pipeline will emit from the receiver. Optionally, the output parameter can be used to specify the id of another operator to which logs will be passed directly.
  • Only parsers and general purpose operators should be used.

Multiline configuration

If set, the multiline configuration block instructs the file_input operator to split log entries on a pattern other than newlines.

The multiline configuration block must contain exactly one of line_start_pattern or line_end_pattern. These are regex patterns that match either the beginning of a new log entry, or the end of a log entry.

Supported encodings

Key Description
nop No encoding validation. Treats the file as a stream of raw bytes
utf-8 UTF-8 encoding
utf-16le UTF-16 encoding with little-endian byte order
utf-16be UTF-16 encoding with big-endian byte order
ascii ASCII encoding
big5 The Big5 Chinese character encoding

Other less common encodings are supported on a best-effort basis. See https://www.iana.org/assignments/character-sets/character-sets.xhtml for other encodings available.

Header Metadata Parsing

To enable header metadata parsing, the filelog.allowHeaderMetadataParsing feature gate must be set, and start_at must be beginning.

If set, the file input operator will attempt to read a header from the start of the file. Each header line must match the header.pattern pattern. Each line is emitted into a pipeline defined by header.metadata_operators. Any attributes on the resultant entry from the embedded pipeline will be merged with the attributes from previous lines (attribute collisions will be resolved with an upsert strategy). After all header lines are read, the final merged header attributes will be present on every log line that is emitted for the file.

The header lines are not emitted by the receiver.

Additional Terminology and Features

  • An entry is the base representation of log data as it moves through a pipeline. All operators either create, modify, or consume entries.
  • A field is used to reference values in an entry.
  • A common expression syntax is used in several operators. For example, expressions can be used to filter or route entries.

Parsers with Embedded Operations

Many parsers operators can be configured to embed certain followup operations such as timestamp and severity parsing. For more information, see complex parsers.

Example - Tailing a simple json file

Receiver Configuration

receivers:
  filelog:
    include: [ /var/log/myservice/*.json ]
    operators:
      - type: json_parser
        timestamp:
          parse_from: attributes.time
          layout: '%Y-%m-%d %H:%M:%S'