Listing datasets

This document describes how to list datasets in BigQuery.

You can list datasets by:

• Using the GCP Console or the classic BigQuery web UI
• Using the bq ls CLI command
• Calling the datasets.list API method.

Required permissions

When you list datasets, only datasets for which you have bigquery.datasets.get permissions are returned. This includes any dataset to which you have been granted dataset-level READER access. All predefined, project-level IAM roles include bigquery.datasets.get permissions except for bigquery.jobUser. If you are assigned a predefined, project-level IAM role other than bigquery.jobUser, you can list all the datasets in the project.

For more information on IAM roles and permissions in BigQuery, see Access Control. For more information on dataset-level roles, see Primitive roles for datasets.

Listing datasets in a project

To list the datasets in a project:

Console

Datasets are listed by project in the web UI's Resources pane.

Classic UI

Datasets are listed by project in the web UI's navigation pane.

Command-line

Issue the bq ls command to list datasets by dataset ID. The --format flag can be used to control the output. If you are listing dataset in a project other than your default project, add the --project_id flag to the command.

To list all datasets in a project, including anonymous datasets, use the --all flag or the -a shortcut.

To list all datasets in a project, excluding anonymous datasets, use the --datasets flag or the -d shortcut. This flag is optional. By default, anonymous datasets are not listed.

Additional flags include:

• --filter: List datasets that match the filter expression. Use a space-separated list of label keys and values in the form labels.[KEY]:[VALUE]. For more information on filtering datasets using labels, see Adding and using labels.

• --max_results or -n: An integer indicating the maximum number of results. The default value is 50.

  bq ls --filter labels.[KEY]:[VALUE] --max_results [INTEGER] --format=prettyjson --project_id [PROJECT_ID]
  

Where:

• [KEY]:[VALUE] is a label key and value.
• [INTEGER] is an integer representing the number of datasets to list.
• [PROJECT_ID] is the name of your project.

Examples:

Enter the following command to list datasets in your default project. --format is set to pretty to return a basic formatted table.

bq ls --format=pretty

Enter the following command to list datasets in myotherproject. --format is set to prettyjson to return detailed results in JSON format.

bq ls --format=prettyjson --project_id myotherproject

Enter the following command to list all datasets including anonymous datasets in your default project. In the output, anonymous datasets begin with an underscore.

bq ls -a

Enter the following command to return more than the default output of 50 datasets from your default project.

bq ls --max_results 60

Enter the following command to list datasets in your default project with the label org:dev.

ba ls --filter labels.org:dev

API

To list datasets using the API, call the datasets.list API method.

C#

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

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using Google.Cloud.BigQuery.V2;
using System;
using System.Collections.Generic;
using System.Linq;

public class BigQueryListDatasets
{
    public void ListDatasets(
        string projectId = "your-project-id"
    )
    {
        BigQueryClient client = BigQueryClient.Create(projectId);
        // Retrieve list of datasets in project
        List<BigQueryDataset> datasets = client.ListDatasets().ToList();
        // Display the results
        if (datasets.Count > 0)
        {
            Console.WriteLine($"Datasets in project {projectId}:");
            foreach (var dataset in datasets)
            {
                Console.WriteLine($"\t{dataset.Reference.DatasetId}");
            }
        }
        else
        {
            Console.WriteLine($"{projectId} does not contain any datasets.");
        }
    }
}

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 .

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// To run this sample, you will need to create (or reuse) a context and
// an instance of the bigquery client.  For example:
// import "cloud.google.com/go/bigquery"
// ctx := context.Background()
// client, err := bigquery.NewClient(ctx, "your-project-id")
it := client.Datasets(ctx)
for {
	dataset, err := it.Next()
	if err == iterator.Done {
		break
	}
	fmt.Println(dataset.DatasetID)
}

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 .

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// List datasets in the default project
Page<Dataset> datasets = bigquery.listDatasets(DatasetListOption.pageSize(100));
for (Dataset dataset : datasets.iterateAll()) {
  // do something with the dataset
}
// List datasets in a specified project
Page<Dataset> datasets = bigquery.listDatasets(projectId, DatasetListOption.pageSize(100));
for (Dataset dataset : datasets.iterateAll()) {
  // do something with the dataset
}

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 .

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

async function listDatasets() {
  // Lists all datasets in current GCP project.

  // Create a client
  const bigqueryClient = new BigQuery();

  // Lists all datasets in the specified project
  const [datasets] = await bigqueryClient.getDatasets();
  console.log('Datasets:');
  datasets.forEach(dataset => console.log(dataset.id));
}
listDatasets();

PHP

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

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use Google\Cloud\BigQuery\BigQueryClient;

/** Uncomment and populate these variables in your code */
// $projectId  = 'The Google project ID';

$bigQuery = new BigQueryClient([
    'projectId' => $projectId,
]);
$datasets = $bigQuery->datasets();
foreach ($datasets as $dataset) {
    print($dataset->id() . PHP_EOL);
}

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 .

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from google.cloud import bigquery

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

datasets = list(client.list_datasets())
project = client.project

if datasets:
    print("Datasets in project {}:".format(project))
    for dataset in datasets:  # API request(s)
        print("\t{}".format(dataset.dataset_id))
else:
    print("{} project does not contain any datasets.".format(project))

Ruby

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

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require "google/cloud/bigquery"

def list_datasets project_id = "your-project-id"
  bigquery = Google::Cloud::Bigquery.new project: project_id

  puts "Datasets in project #{project_id}:"
  bigquery.datasets.each do |dataset|
    puts "\t#{dataset.dataset_id}"
  end
end

Next steps

• For more information on creating datasets, see Creating datasets.
• For more information on assigning access controls to datasets, see Controlling access to datasets.
• For more information on dataset metadata, see Getting information about datasets.
• For more information on changing dataset properties, see Updating datasets.
• For more information on creating and managing labels, see Creating and managing labels.