Quickstart Using the BigQuery Web UI

You can use the BigQuery web UI as a visual interface to complete tasks like running queries, loading data, and exporting data. This quickstart shows you how to query tables in a public dataset and how to load sample data into BigQuery using the BigQuery web UI.

Before you begin

  1. Sign in to your Google Account.

    If you don't already have one, sign up for a new account.

  2. Select or create a GCP project.

    Go to the Manage resources page

  3. Make sure that billing is enabled for your project.

    Learn how to enable billing

  4. BigQuery is automatically enabled in new projects. To activate BigQuery in a pre-existing project, go to Enable the BigQuery API.

    Enable the API

Query a public dataset

The BigQuery web UI provides an interface to query tables, including public datasets offered by BigQuery.

In this example, you query the USA Name Data public dataset to determine the most common names in the US between 1910 and 2013.

BigQuery public datasets are not displayed by default in the BigQuery web UI. To open the public datasets project, enter the following URL in your browser.

https://console.cloud.google.com/bigquery?p=bigquery-public-data&page=project

Once you've opened the project, pin it.

To query data in a public dataset:

  1. Go to the BigQuery web UI.

    Go to the BigQuery web UI

  2. At the top right of the window, click Compose New Query.

    Compose query button

  3. Copy and paste the following query into the query text area.

    SELECT
      name, gender,
      SUM(number) AS total
    FROM
      `bigquery-public-data.usa_names.usa_1910_2013`
    GROUP BY
      name, gender
    ORDER BY
      total DESC
    LIMIT
      10
    

  4. In the lower right of the window, view the query validator.

    Query validator

    A green check mark icon is displayed if the query is valid. If the query is invalid, a red exclamation point icon is displayed. If the query is valid, the validator also shows the amount of data the query will process when you run it. The data processed is helpful for determining the cost of running the query.

  5. Click Run query. The query results page displays below the query window. At the top of the query results page, the time elapsed and the data processed by the query are displayed. Below the Query complete... message, a table displays the query results with a header row containing the name of each column you selected in the query.

    BigQuery web UI query results

The above query accesses a table from a public dataset that BigQuery provides. You can browse other public datasets by opening the bigquery-public-data project. To open the public data project, enter the following URL in your browser:

https://console.cloud.google.com/bigquery?p=bigquery-public-data&page=project

For more information, see BigQuery public datasets.

Load data into a table

Next, you load data into a table and query it.

As a reminder, billing must be enabled to run this part of the quickstart. For more information, see Before you begin.

Download the data

The file you're downloading contains approximately 7 MB of data about popular baby names, and it is provided by the US Social Security Administration.

  1. Download the baby names zip file.

  2. Unzip the file onto your machine.

    The zip file contains a NationalReadMe.pdf file that describes the dataset. Learn more about the dataset.

  3. Open the file named yob2014.txt to see what the data looks like. The file is a comma-separated value (CSV) file with the following three columns: name, sex (M or F), and number of children with that name. The file has no header row.

  4. Note the location of the yob2014.txt file so that you can find it later.

Create a dataset

Next, create a dataset in the web UI to store the data.

  1. If necessary, open the BigQuery web UI.

    Go to the BigQuery web UI

  2. In the navigation panel, in the Resources section, click your project name.

  3. On the right side, in the details panel, click Create dataset.

  4. On the Create dataset page:

    • For Dataset ID, enter babynames.
    • For Data location, choose United States (US). Currently, the public datasets are stored in the US multi-region location. For simplicity, you should place your dataset in the same location.

      Create dataset page

  5. Leave all of the other default settings in place and click Create dataset.

Load the data into a new table

Next, load the data into a new table.

  1. In the navigation panel, in the Resources section, click the babynames dataset that you just created.

  2. On the right side, in the details panel, click Create table.

    Use the default values for all settings unless otherwise indicated.

  3. On the Create table page:

    • For Source Data, click Empty table and choose Upload.
    • For Select file, click Browse, navigate to the yob2014.txt file and click Open.
    • For File format, click Avro and choose CSV.
    • For Destination table, enter names_2014.
    • In the Schema section, click the Edit as text toggle and paste the following schema definition in the box.

      name:string,gender:string,count:integer

      New table page

  4. Click Create Table.

  5. Wait for BigQuery to create the table and load the data. While BigQuery loads the data, a (1 running) string displays beside the job history in the navigation panel. The string disappears after the data is loaded.

Preview the table

After the (1 running) string disappears, you can access the table. To preview the first few rows of the data:

  1. Select babynames > names_2014 in the navigation panel.

  2. In the details panel, click the Preview tab.

    BigQuery web UI table preview

Query the table

Now that you've loaded data into a table, you can run queries against it. The process is identical to the previous example, except that this time, you're querying your table instead of a public table.

  1. If necessary, click the Compose new query button. Unless you hid the query window previously, it should still be visible.

  2. Copy and paste the following query into the query text area. This query retrieves the top 5 baby names for US males in 2014.

    SELECT
     name, count
    FROM
     `babynames.names_2014`
    WHERE
     gender = 'M'
    ORDER BY count DESC LIMIT 5

  3. Click Run query. The results are displayed below the query window.

    Names query results

Clean up

To avoid incurring charges to your Google Cloud Platform account for the resources used in this quickstart:

  1. If necessary, open the BigQuery web UI.

    Go to the BigQuery web UI

  2. In the navigation panel, in the Resources section, click the babynames dataset you created.

  3. In the details panel, on the right side, click Delete dataset. This action deletes the dataset, the table, and all the data.

  4. In the Delete dataset dialog box, confirm the delete command by typing the name of your dataset (babynames) and then click Delete.

What's next

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