Skip to content

singer.io target for S3 built with Meltano SDK

Notifications You must be signed in to change notification settings

luisvicenteatprima/target-s3

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

63 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

target-s3

target-s3 is inteded to be a multi-format/multi-cloud Singer target.

Build with the Meltano Target SDK.

Configuration

Accepted Config Options

{
    "format": {
        "format_type": "json",
        "format_parquet": {
            "validate": "[true|false]"
        },
        "format_json": {},
        "format_csv": {}
    },
    "cloud_provider": {
        "cloud_provider_type": "aws",
        "aws": {
            "aws_access_key_id": "test",
            "aws_secret_access_key": "test",
            "aws_region": "us-west-2",
            "aws_profile_name": "test-profile",
            "aws_bucket": "test-bucket",
            "aws_endpoint_override": "http://localhost:4566"
        }
    },
    "prefix": "path/to/output",
    "stream_name_path_override": "StreamName",
    "include_process_date": true,
    "append_date_to_prefix": false,
    "partition_name_enabled": false,
    "append_date_to_prefix_grain": "day",
    "append_date_to_filename": true,
    "append_date_to_filename_grain": "microsecond",
    "flatten_records": false
}

format.format_parquet.validate [Boolean, default: False] - this flag determines whether the data types of incoming data elements should be validated. When set True, a schema is created from the first record and all subsequent records that don't match that data type are cast.

Capabilities

  • about
  • stream-maps
  • schema-flattening

Settings

Configure using environment variables

This Singer target will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

Usage

You can easily run target-s3 by itself or in a pipeline using Meltano.

Executing the Target Directly

target-s3 --version
target-s3 --help
# Test using the "Carbon Intensity" sample:
tap-carbon-intensity | target-s3 --config /path/to/target-s3-config.json

SDK Dev Guide

See the dev guide for more instructions on how to use the Meltano Singer SDK to develop your own Singer taps and targets.

About

singer.io target for S3 built with Meltano SDK

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%