target-parquet - Meltano Hub

Parquet

target-parquet (hotgluexyz variant)🥇

Columnar Storage Format

The target-parquet loader sends data into 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-parquet loader to your project using
```
meltano add
```
:

meltano add loader target-parquet --variant hotgluexyz

Configure the target-parquet settings using

meltano config

meltano config target-parquet set --interactive

Next steps

Follow the remaining steps of the Getting Started guide:

Run a data integration (EL) pipeline

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

Capabilities

The current capabilities for target-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 If you find they are out of date, please consider updating them by making a pull request to the YAML file that defines the capabilities for this loader.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
schema-flattening
stream-maps

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

Settings

The target-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:

file_naming_scheme
filepath

Expand To Show SDK Settings

flattening_enabled
flattening_max_depth
stream_map_config
stream_maps

You can also list these settings using

meltano config

with the list subcommand:

meltano config target-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.

File Naming Scheme (file_naming_scheme)

Environment variable: TARGET_PARQUET_FILE_NAMING_SCHEME

The scheme with which output files will be named