The target-s3-parquet loader sends data into S3 Parquet after it was pulled from a source using an extractor
Alternate Implementations
Getting Started
Prerequisites
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration
-
Add the target-s3-parquet loader to your
project using
:meltano add
-
Configure the target-s3-parquet
settings using
:meltano config
meltano add loader target-s3-parquet --variant jkausti
meltano config target-s3-parquet set --interactive
Next steps
Follow the remaining steps of the Getting Started guide:
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 If you find they are out of date, please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
- schema-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:
AWS_ACCESS_KEY_ID
AWS_SECRET_ACCESS_KEY
path
aws_region
folder_structure
filetype
stream_maps
stream_map_config
flattening_enabled
flattening_max_depth
You can also list these settings using
with the meltano config
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.
Aws Access Key Id (AWS_ACCESS_KEY_ID)
-
Environment variable:
TARGET_S3_PARQUET_AWS_ACCESS_KEY_ID
AWS Access Key ID used to authenticate programmatically to S3.
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
AWS Secret Access Key used to authenticate programmatically to S3.
Configure this setting directly using the following Meltano command:
meltano config target-s3-parquet set AWS_SECRET_ACCESS_KEY [value]
Path (path)
-
Environment variable:
TARGET_S3_PARQUET_PATH
The path to where the data should be stored. REQUIRED
Configure this setting directly using the following Meltano command:
meltano config target-s3-parquet set path [value]
AWS Region (aws_region)
-
Environment variable:
TARGET_S3_PARQUET_AWS_REGION
AWS Bucket Region
Configure this setting directly using the following Meltano command:
meltano config target-s3-parquet set aws_region [value]
Folder Structure (folder_structure)
-
Environment variable:
TARGET_S3_PARQUET_FOLDER_STRUCTURE
Determines the folder-structure. Alternatives are: 'simple', 'date_hierarchy' and 'both'.
Configure this setting directly using the following Meltano command:
meltano config target-s3-parquet set folder_structure [value]
Filetype (filetype)
-
Environment variable:
TARGET_S3_PARQUET_FILETYPE
Specifies the filetype to store the data as. Only parquet supported atm. REQUIRED
Configure this setting directly using the following Meltano command:
meltano config target-s3-parquet set filetype [value]
Stream Maps (stream_maps)
-
Environment variable:
TARGET_S3_PARQUET_STREAM_MAPS
Config object for stream maps capability. For more information check out Stream Maps.
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?
#plugins-general
channel.