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S3 file input plugin for Embulk

Overview

  • Plugin type: file input
  • Resume supported: yes
  • Cleanup supported: yes

Configuration

  • bucket S3 bucket name (string, required)

  • path_prefix prefix of target keys (string, required)

  • endpoint S3 endpoint login user name (string, optional)

  • auth_method: name of mechanism to authenticate requests (basic, env, instance, profile, properties, anonymous, or session. default: basic)

    • "basic": uses access_key_id and secret_access_key to authenticate.

      • access_key_id: AWS access key ID (string, required)

      • secret_access_key: AWS secret access key (string, required)

    • "env": uses AWS_ACCESS_KEY_ID (or AWS_ACCESS_KEY) and AWS_SECRET_KEY (or AWS_SECRET_ACCESS_KEY) environment variables.

    • "instance": uses EC2 instance profile.

    • "profile": uses credentials written in a file. Format of the file is as following, where [...] is a name of profile.

      • profile_file: path to a profiles file. (string, default: given by AWS_CREDENTIAL_PROFILES_FILE environment varialbe, or ~/.aws/credentials).

      • profile_name: name of a profile. (string, default: "default")

      [default]
      aws_access_key_id=YOUR_ACCESS_KEY_ID
      aws_secret_access_key=YOUR_SECRET_ACCESS_KEY
      
      [profile2]
      ...
      
    • "properties": uses aws.accessKeyId and aws.secretKey Java system properties.

    • "anonymous": uses anonymous access. This auth method can access only public files.

    • "session": uses temporary-generated access_key_id, secret_access_key and session_token.

      • access_key_id: AWS access key ID (string, required)

      • secret_access_key: AWS secret access key (string, required)

      • session_token: session token (string, required)

  • path_match_pattern: regexp to match file paths. If a file path doesn't match with this pattern, the file will be skipped (regexp string, optional)

  • total_file_count_limit: maximum number of files to read (integer, optional)

  • min_task_size (experimental): minimum bytesize of a task. If this is larger than 0, one task includes multiple input files up until it becomes the bytesize in total. This is useful if too many number of tasks impacts performance of output or executor plugins badly. (integer, optional)

Example

in:
  type: s3
  bucket: my-s3-bucket
  path_prefix: logs/csv-
  endpoint: s3-us-west-1.amazonaws.com
  access_key_id: ABCXYZ123ABCXYZ123
  secret_access_key: AbCxYz123aBcXyZ123

To skip files using regexp:

in:
  type: s3
  bucket: my-s3-bucket
  path_prefix: logs/csv-
  # ...
  path_match_pattern: \.csv$   # a file will be skipped if its path doesn't match with this pattern

  ## some examples of regexp:
  #path_match_pattern: /archive/         # match files in .../archive/... directory
  #path_match_pattern: /data1/|/data2/   # match files in .../data1/... or .../data2/... directory
  #path_match_pattern: .csv$|.csv.gz$    # match files whose suffix is .csv or .csv.gz

To use AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables:

in:
  type: s3
  bucket: my-s3-bucket
  path_prefix: logs/csv-
  endpoint: s3-us-west-1.amazonaws.com
  auth_method: env

For public S3 buckets such as landsat-pds:

in:
  type: s3
  bucket: landsat-pds
  path_prefix: scene_list.gz
  auth_method: anonymous

Build

./gradlew gem

Test

To run unit tests, we need to configure the following environment variables.

EMBULK_S3_TEST_BUCKET
EMBULK_S3_TEST_ACCESS_KEY_ID
EMBULK_S3_TEST_SECRET_ACCESS_KEY