S3 Parquet

target-s3-parquet (gupy-io variant)

AWS S3 - Apache Parquet File Format

The target-s3-parquet loader sends data into S3 Parquet after it was pulled from a source using an extractor

Available Variants

Getting Started

Prerequisites

If you haven't already, follow the initial steps of the Getting Started guide:

  1. Install Meltano
  2. Create your Meltano project

Installation and configuration

  1. Add the target-s3-parquet loader to your project using
    meltano add
    :
  2. meltano add loader target-s3-parquet
  3. Configure the target-s3-parquet settings using
    meltano config
    :
  4. meltano config target-s3-parquet set --interactive

Next steps

If you run into any issues, learn how to get help.

Capabilities

The current capabilities for target-s3-parquet may have been automatically set when originally added to the Hub. Please review the capabilities when using this loader. If you find they are out of date, please consider updating them by making a pull request to the YAML file that defines the capabilities for this loader.

This plugin has the following capabilities:

  • about
  • stream-maps
  • record-flattening

You can override these capabilities or specify additional ones in your meltano.yml by adding the capabilities key.

Settings

The target-s3-parquet settings that are known to Meltano are documented below. To quickly find the setting you're looking for, click on any setting name from the list:

You can also list these settings using

meltano config
with the list subcommand:

meltano config target-s3-parquet list

You can override these settings or specify additional ones in your meltano.yml by adding the settings key.

Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.

S3 Path (s3_path)

  • Environment variable: TARGET_S3_PARQUET_S3_PATH

The s3 path to the target output file


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set s3_path [value]

AWS Access Key Id (aws_access_key_id)

  • Environment variable: TARGET_S3_PARQUET_AWS_ACCESS_KEY_ID

Your AWS access key ID.


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set aws_access_key_id [value]

AWS Secret Access Key (aws_secret_access_key)

  • Environment variable: TARGET_S3_PARQUET_AWS_SECRET_ACCESS_KEY

Your AWS secret access key.


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set aws_secret_access_key [value]

Athena Database (athena_database)

  • Environment variable: TARGET_S3_PARQUET_ATHENA_DATABASE

The Athena database.


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set athena_database [value]

Add Record Metadata (add_record_metadata)

  • Environment variable: TARGET_S3_PARQUET_ADD_RECORD_METADATA

A boolean whether to add record metadata


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set add_record_metadata [value]

Stringify Schema (stringify_schema)

  • Environment variable: TARGET_S3_PARQUET_STRINGIFY_SCHEMA

A boolean whether to stringify Schema


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set stringify_schema [value]

Stream Maps (stream_maps)

  • Environment variable: TARGET_S3_PARQUET_STREAM_MAPS

Config object for stream maps capability.


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set stream_maps [value]

Stream Map Config (stream_map_config)

  • Environment variable: TARGET_S3_PARQUET_STREAM_MAP_CONFIG

User-defined config values to be used within map expressions.


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set stream_map_config [value]

Flattening Enabled (flattening_enabled)

  • Environment variable: TARGET_S3_PARQUET_FLATTENING_ENABLED

'True' to enable schema flattening and automatically expand nested properties.


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set flattening_enabled [value]

Flattening Max Depth (flattening_max_depth)

  • Environment variable: TARGET_S3_PARQUET_FLATTENING_MAX_DEPTH

The max depth to flatten schemas.


Configure this setting directly using the following Meltano command:

meltano config target-s3-parquet set flattening_max_depth [value]

Something missing?

This page is generated from a YAML file that you can contribute changes to.

Edit it on GitHub!

Looking for help?

If you're having trouble getting the target-s3-parquet loader to work, look for an existing issue in its repository, file a new issue, or join the Meltano Slack community and ask for help in the
#plugins-general
channel.

Install

meltano add loader target-s3-parquet

Maintenance Status

  • Maintenance Status
  • Built with the Meltano SDK

Repo

https://github.com/gupy-io/target-s3-parquet
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Maintainer

  • gupy-io

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Keywords

  • meltano_sdk