Automating logs export to BigQuery with Terraform

- 2 mins


On Google cloud, you export logs by creating one or more sinks that include a logs filter and an export destination. As Cloud Logging receives new log entries, they are compared against each sink. If a log entry matches a sink’s filter, then a copy of the log entry is written to the export destination.

This article describes how you can automate logs exports to BigQuery with Terraform.

Create BigQuery dataset

Using the google_bigquery_dataset resource, create a BigQuery dataset.

    resource "google_bigquery_dataset" "dataset" {
        dataset_id                  = "example_dataset"
        friendly_name               = "test"
        description                 = "This is a test description"
        location                    = "EU"

        labels = {
            env = "default"

        access {
            role          = "OWNER"
            user_by_email =

        access {
            role   = "READER"
            domain = ""

Create log sink

You can create a project-level, organization-level or folder-level logging sink. In this article, we will be creating a project-level logging sink using the google_logging_project_sink resource.

resource "google_logging_project_sink" "log_sink" {
    name        = "my_log_sink"
    description = "some explaination on what this is"
    destination = "[PROJECT_ID]/datasets/${google_bigquery_dataset.dataset.dataset_id}"
    filter      = "resource.type = gce_instance AND resource.labels.instance_id = mylabel"

    # Whether or not to create a unique identity associated with this sink.
    unique_writer_identity = true

    bigquery_options {
    # options associated with big query
    # Refer to the resource docs for more information on the options you can use

Grant unique writer access to BigQuery

Because the sink above uses a unique_writer, we must grant that writer bigquery.dataEditor role for it to access BigQuery. You can use the google_project_iam_member resource.

resource "google_project_iam_member" "log_writer" {
    role = "roles/bigquery.dataEditor"
    member = google_logging_project_sink.log_sink.writer_identity


After applying the steps above in a terraform file, in a short while, you should see a table created automatically in the BigQuery dataset with the logs exported to it.

Kosy Anyanwu

Kosy Anyanwu

The lady who travels the world and loves karaoke

comments powered by Disqus
rss facebook twitter github gitlab youtube mail spotify lastfm instagram linkedin google google-plus pinterest medium vimeo stackoverflow reddit quora quora