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A package to manage Google Cloud Data Catalog Fileset export scripts

Project description

Datacatalog Fileset Exporter

CircleCI PyPi License Issues

A Python package to manage Google Cloud Data Catalog Fileset export scripts.

Disclaimer: This is not an officially supported Google product.

Executing in Cloud Shell

# Set your SERVICE ACCOUNT, for instructions go to 1.3. Auth credentials
# This name is just a suggestion, feel free to name it following your naming conventions
export GOOGLE_APPLICATION_CREDENTIALS=~/datacatalog-fileset-exporter-sa.json

# Install datacatalog-fileset-exporter
pip3 install datacatalog-fileset-exporter --user

# Add to your PATH
export PATH=~/.local/bin:$PATH

# Look for available commands
datacatalog-fileset-exporter --help

1. Environment setup

1.1. Python + virtualenv

Using virtualenv is optional, but strongly recommended unless you use Docker.

1.1.1. Install Python 3.6+

1.1.2. Get the source code

git clone https://github.com/mesmacosta/datacatalog-fileset-exporter
cd ./datacatalog-fileset-exporter

All paths starting with ./ in the next steps are relative to the datacatalog-fileset-exporter folder.

1.1.3. Create and activate an isolated Python environment

pip install --upgrade virtualenv
python3 -m virtualenv --python python3 env
source ./env/bin/activate

1.1.4. Install the package

pip install --upgrade .

1.2. Docker

Docker may be used as an alternative to run the script. In this case, please disregard the Virtualenv setup instructions.

1.3. Auth credentials

1.3.1. Create a service account and grant it below roles

  • Data Catalog Admin

1.3.2. Download a JSON key and save it as

This name is just a suggestion, feel free to name it following your naming conventions

  • ./credentials/datacatalog-fileset-exporter-sa.json

1.3.3. Set the environment variables

This step may be skipped if you're using Docker.

export GOOGLE_APPLICATION_CREDENTIALS=~/credentials/datacatalog-fileset-exporter-sa.json

5. Export Filesets to CSV file

5.1. A CSV file representing the Filesets will be created

Filesets are composed of as many lines as required to represent all of their fields. The columns are described as follows:

Column Description Mandatory
entry_group_name Entry Group Name. Y
entry_group_display_name Entry Group Display Name. Y
entry_group_description Entry Group Description. Y
entry_id Entry ID. Y
entry_display_name Entry Display Name. Y
entry_description Entry Description. Y
entry_file_patterns Entry File Patterns. Y
schema_column_name Schema column name. N
schema_column_type Schema column type. N
schema_column_description Schema column description. N
schema_column_mode Schema column mode. N

5.2. Run the datacatalog-fileset-exporter script

  • Python + virtualenv
datacatalog-fileset-exporter filesets export --project-ids my-project --file-path CSV_FILE_PATH

History

0.1.0 (2020-04-28)

  • First release on PyPI.

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