bqv

The simplest tool to manage Bigquery's views.

• bqv
• How to install
• How to use
  • With parameter

How to install

go install github.com/k-kawa/bqv

Or you can use bqv as a Docker image, which is available at kkawa/bqv

How to use

Make a directory based on the names of the dataset and the view that you want to create.

mkdir -p your_dataset/your_view

Make an query.sql file in it, which is going to use to create the view.

cat <<EOF > your_dataset/your_view/query.sql
SELECT 1 AS one
EOF

List the view names which are going to manage with bqv list command.

bqv list
your_dataset.your_view

Make the view into the GCP project named your_project with bqv apply command.

bqv apply --projecID=your_project
INFO[0001] Creating view(your_dataset.your_view)
bra bra bra ....

Destroy all the views in the GCP project with bqv destroy command.

bqv destroy --projectID=your_project
INFO[0001] Deleting view your_dataset.your_view

With parameter

You can use the query.sql file as a template and replace the placeholders in it when you run bqv apply.

# Create another directory
mkdir -p your_dataset/your_new_view

# Create the new query.sql following the Golang's template syntax.
cat <<EOF > your_dataset/your_new_view/query.sql
SELECT "{{.data}}" AS data
EOF

# Prepare a JSON file the keys and values in which are going to fill the query.sql
cat <<EOF > parameters.json
{"data": "data"}
EOF

# Run bqv apply with the parameters.json
bqv apply --paramFile=parameters.json