datacatalog-fileset-exporter 0.2.3

A package to manage Google Cloud Data Catalog Fileset export scripts

Datacatalog Fileset Exporter

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

Disclaimer: This is not an officially supported Google product.

Table of Contents

• Executing in Cloud Shell
• 1. Environment setup
  • 1.1. Python + virtualenv
    • 1.1.1. Install Python 3.6+
    • 1.1.2. Get the source code
    • 1.1.3. Create and activate an isolated Python environment
    • 1.1.4. Install the package
  • 1.2. Docker
  • 1.3. Auth credentials
    • 1.3.1. Create a service account and grant it below roles
    • 1.3.2. Download a JSON key and save it as
    • 1.3.3. Set the environment variables
• 2. Export Filesets to CSV file
  • 2.1. A CSV file representing the Filesets will be created
  • 2.2. Run the datacatalog-fileset-exporter script

---

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

2. Export Filesets to CSV file

2.1. 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

2.2. 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.

0.2.0 (2020-05-08)

• ADD option to use filesets creation date.