Filtering resources using labels

To filter resources using labels, you can do one of the following:

  • Use the search bar in the Cloud Console.
  • Create a filter specification for use in the API, bq command-line tool, or client libraries.

Limitations

  • The API, bq command-line tool, and client libraries support filtering only for datasets.
  • You cannot filter jobs by label in any of the BigQuery tools.

Required permissions

To filter resources using labels, you must be able to retrieve resource metadata. At a miniumum, this requires:

  • bigquery.datasets.get to filter datasets
  • bigquery.tables.get to filter tables and views

The following predefined IAM roles include bigquery.datasets.get permissions:

  • bigquery.user
  • bigquery.metadataViewer
  • bigquery.dataViewer
  • bigquery.dataOwner
  • bigquery.dataEditor
  • bigquery.admin

The following predefined IAM roles include bigquery.tables.get permissions:

  • bigquery.metadataViewer
  • bigquery.dataViewer
  • bigquery.dataOwner
  • bigquery.dataEditor
  • bigquery.admin

In addition, if a user has bigquery.datasets.create permissions, when that user creates a dataset, they are granted bigquery.dataOwner access to it. bigquery.dataOwner access gives the user the ability to filter the resources they create.

For more information on IAM roles and permissions in BigQuery, see Predefined roles and permissions.

Filtering resources in the Cloud Console

To generate a filtered list of resources, use the Cloud Console:

Console

  1. In the Cloud Console, go to the Explorer panel.

  2. In the search bar, enter your key, value, or key:value pair. Your results include any partial matches.

    For example, to show only datasets with the label department:shipping, you could enter the:

    • key value: department
    • value: shipping
    • key:value pair: department:shipping

Filtering datasets in the API or bq command-line tool

Currently, the API, bq command-line tool, and client libraries support filtering only for datasets.

To filter datasets by using the API, bq tool, or client libraries, create a filter specification and use the specification:

  • As the parameter for the --filter flag in the bq tool
  • As the value for the filter property in the API's datasets.list method

Limitations on filter specifications

Filter specifications have the following limitations:

  • Only the AND logical operator is supported. Space-separated comparisons are treated as having implicit AND operators.
  • The only field currently eligible for filtering is labels.key where key is the name of a label.
  • The filter can include up to ten expressions.
  • Filtering is case-sensitive.
  • Currently, the API, bq command-line tool, and client libraries support filtering only for datasets.

Filter specification examples

A filter specification uses the following syntax:

"field[:value][ field[:value]..."

Replace the following:

  • field is expressed as labels.key where key is a label key.
  • value is an optional label value.

The following examples show how to generate filter expressions.

To list resources that have a department:shipping label, use the following filter specification:

labels.department:shipping

To list resources using multiple labels, separate the key:value pairs with a space. The space is treated as a logical AND operator. For example, to list datasets with the department:shipping label and the location:usa label, use the following filter specification:

labels.department:shipping labels.location:usa

You can filter on the presence of a key alone, rather than matching against a key:value pair. The following filter specification lists all datasets labeled department regardless of the value.

labels.department

An equivalent filter specification uses an asterisk to represent all possible values associated with the department key.

labels.department:*

You can also use tags in a filter specification. For example, to list resources with the department:shipping label and test_data tag, use the following filter specification:

labels.department:shipping labels.test_data

Filtering datasets in the bq command-line tool and the API

To filter datasets by using the API, bq command-line tool, or client libraries:

bq

Issue the bq ls command with the --filter flag. If you are listing datasets in a project other than your default project, specify the --project_id flag.

bq ls \
--filter "filter_specification" \
--project_id project_id

Replace the following:

  • filter_specification is a valid filter specification.
  • project_id is your project ID.

Examples:

Enter the following command to list datasets in your default project that have a department:shipping label:

bq ls --filter "labels.department:shipping"

Enter the following command to list datasets in your default project that have a department:shipping label and a test_data tag.

bq ls --filter "labels.department:shipping labels.test_data"

Enter the following command to list datasets in myotherproject that have a department:shipping label:

bq ls --filter "labels.department:shipping" --project_id myotherproject

The output for each of these commands returns a list of datasets like the following. 

+-----------+
| datasetId |
+-----------+
| mydataset |
| mydataset2|
+-----------+

API

Call the datasets.list API method and provide the filter specification using the filter property.

Go

Before trying this sample, follow the Go setup instructions in the BigQuery Quickstart Using Client Libraries. For more information, see the BigQuery Go API reference documentation. 

import (
	"context"
	"fmt"
	"io"

	"cloud.google.com/go/bigquery"
	"google.golang.org/api/iterator"
)

// listDatasetsByLabel demonstrates walking the collection of datasets in a project, and
// filtering that list to a subset that has specific label metadata.
func listDatasetsByLabel(w io.Writer, projectID string) error {
	// projectID := "my-project-id"
	ctx := context.Background()
	client, err := bigquery.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("bigquery.NewClient: %v", err)
	}
	defer client.Close()

	it := client.Datasets(ctx)
	it.Filter = "labels.color:green"
	for {
		dataset, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			return err
		}
		fmt.Fprintf(w, "dataset: %s\n", dataset.DatasetID)
	}
	return nil
}

Java

Before trying this sample, follow the Java setup instructions in the BigQuery Quickstart Using Client Libraries. For more information, see the BigQuery Java API reference documentation. 

import com.google.api.gax.paging.Page;
import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.Dataset;

// Sample to get list of datasets by label
public class ListDatasetsByLabel {

  public static void runListDatasetsByLabel() {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "MY_PROJECT_ID";
    String filter = "MY_LABEL_FILTER";
    listDatasetsByLabel(projectId, filter);
  }

  public static void listDatasetsByLabel(String projectId, String filter) {
    try {
      // Initialize client that will be used to send requests. This client only needs to be created
      // once, and can be reused for multiple requests.
      BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService();

      Page<Dataset> datasets =
          bigquery.listDatasets(
              projectId,
              BigQuery.DatasetListOption.pageSize(100),
              BigQuery.DatasetListOption.labelFilter(filter)); // "labels.color:green"
      if (datasets == null) {
        System.out.println("Dataset does not contain any models");
        return;
      }
      datasets
          .iterateAll()
          .forEach(
              dataset -> System.out.printf("Success! Dataset ID: %s ", dataset.getDatasetId()));
    } catch (BigQueryException e) {
      System.out.println("Project does not contain any datasets \n" + e.toString());
    }
  }
}

Node.js

Before trying this sample, follow the Node.js setup instructions in the BigQuery Quickstart Using Client Libraries. For more information, see the BigQuery Node.js API reference documentation. 

// Import the Google Cloud client library
const {BigQuery} = require('@google-cloud/bigquery');
const bigquery = new BigQuery();

async function listDatasetsByLabel() {
  // Lists all datasets in current GCP project, filtering by label color:green.

  const options = {
    filter: 'labels.color:green',
  };
  // Lists all datasets in the specified project
  const [datasets] = await bigquery.getDatasets(options);

  console.log('Datasets:');
  datasets.forEach(dataset => console.log(dataset.id));
}

Python

Before trying this sample, follow the Python setup instructions in the BigQuery Quickstart Using Client Libraries. For more information, see the BigQuery Python API reference documentation. 


from google.cloud import bigquery

# Construct a BigQuery client object.
client = bigquery.Client()

label_filter = "labels.color:green"
datasets = list(client.list_datasets(filter=label_filter))  # Make an API request.

if datasets:
    print("Datasets filtered by {}:".format(label_filter))
    for dataset in datasets:
        print("\t{}.{}".format(dataset.project, dataset.dataset_id))
else:
    print("No datasets found with this filter.")

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