Skip to main content target for writing JSON Line files and upload to S3

Project description


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Singer target that uploads loads data to S3 in JSONL format following the Singer spec.

How to use it

target-s3-jsonl is a Singer Target which intend to work with regular Singer Tap. It take the output of the tap and export it as a JSON Lines files into an AWS S3 bucket.

This package is built over the target-core.


First, make sure Python 3 is installed on your system or follow these installation instructions for Mac or Ubuntu.

It's recommended to use a virtualenv:


python -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install target-s3-jsonl


python -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install --upgrade git+

Isolated virtual environment

python -m venv ~/.virtualenvs/target-s3-jsonl
~/.virtualenvs/target-s3-jsonl/bin/pip install target-s3-jsonl


python -m venv ~/.virtualenvs/target-s3-jsonl
source ~/.virtualenvs/target-s3-jsonl/bin/activate
pip install target-s3-jsonl

To run

Like any other target that's following the singer specificiation:

some-singer-tap | target-s3-jsonl --config [config.json]

It's reading incoming messages from STDIN and using the properites in config.json to upload data into Postgres.

Note: To avoid version conflicts run tap and targets in separate virtual environments.

Configuration settings

Running the the target connector requires a config.json file. An example with the minimal settings:

    "s3_bucket": "my_bucket"

Profile based authentication

Profile based authentication used by default using the default profile. To use another profile set aws_profile parameter in config.json or set the AWS_PROFILE environment variable.

Non-Profile based authentication

For non-profile based authentication set aws_access_key_id , aws_secret_access_key and optionally the aws_session_token parameter in the config.json. Alternatively you can define them out of config.json by setting AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN environment variables.

Full list of options in config.json:

Inherited from target-core

Property Type Mandatory? Description
path_template String (Default: None) Custom naming convention of the s3 key. Replaces tokens date, stream, and timestamp with the appropriate values.

Supports datetime and other python advanced string formatting e.g. {stream:_>8}_{timestamp:%Y%m%d_%H%M%S}.json or {stream}/{timestamp:%Y}/{timestamp:%m}/{timestamp:%d}/{timestamp:%Y%m%d_%H%M%S_%f}.json.

Supports "folders" in s3 keys e.g. folder/folder2/{stream}/export_date={date}/{timestamp}.json.

Honors the s3_key_prefix, if set, by prepending the "filename". E.g. path_template = folder1/my_file.json and s3_key_prefix = prefix_ results in folder1/prefix_my_file.json
timezone_offset Integer Offset value in hour. Use offset 0 hours is you want the path_template to use utc time zone. The null values is used by default.
memory_buffer Integer Memory buffer's size used for non partitioned files before storing the data into the temporary file. 64Mb used by default if unspecified.
file_size Integer File partitinoning by size_limit. File parts will be created. The path_template must contain a part section for the part number. Example "path_template": "{stream}_{date_time:%Y%m%d_%H%M%S}_part_{part:0>3}.json".
work_dir String (Default: platform-dependent) Directory of temporary JSONL files with RECORD messages.
compression String The type of compression to apply before uploading. Supported options are none (default), gzip, and lzma. For gzipped files, the file extension will automatically be changed to .json.gz for all files. For lzma compression, the file extension will automatically be changed to .json.xz for all files.

Specific For target-s3-jsonl

Property Type Mandatory? Description
local Boolean Keep the file in the work_dir directory without uploading the files on s3.
s3_bucket String Yes S3 Bucket name
aws_profile String AWS profile name for profile based authentication. If not provided, AWS_PROFILE environment variable will be used.
aws_endpoint_url String AWS endpoint URL.
aws_access_key_id String S3 Access Key Id. If not provided, AWS_ACCESS_KEY_ID environment variable will be used.
aws_secret_access_key String S3 Secret Access Key. If not provided, AWS_SECRET_ACCESS_KEY environment variable will be used.
aws_session_token String AWS Session token. If not provided, AWS_SESSION_TOKEN environment variable will be used.
encryption_type String (Default: 'none') The type of encryption to use. Current supported options are: 'none' and 'KMS'.
encryption_key String A reference to the encryption key to use for data encryption. For KMS encryption, this should be the name of the KMS encryption key ID (e.g. '1234abcd-1234-1234-1234-1234abcd1234'). This field is ignored if 'encryption_type' is none or blank.
role_arn String The ARN of the role to assume


Install the tools

pip install .[test,lint]

Run pytest

pytest -p no:cacheprovider


flake8 --show-source --statistics --count --extend-exclude .virtualenvs


  1. Update the version number at the beginning of target-s3-jsonl/target_s3_jsonl/
  2. Merge the changes PR into main
  3. Create a tag git tag -a 1.0.0 -m 'Release version 1.0.0'
  4. Release the new version in github


Apache License Version 2.0

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