Console
    Contact Us Start free

    Create and query a database using the Google Cloud console

    This quickstart shows you how to perform basic operations in Spanner by using the Google Cloud console. In the quickstart, you will:

    • Create a Spanner instance.
    • Create a database.
    • Create a schema.
    • Insert and modify data.
    • Run a query.

    For information on the cost of using Spanner, see Pricing .

    Before you begin

    1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

    2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

      Go to project selector

    3. Verify that billing is enabled for your Google Cloud project .

    4. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

      Go to project selector

    5. Verify that billing is enabled for your Google Cloud project .

      6.
    6. Optional: The Spanner API should be auto-enabled. If not, enable it manually: Enable Spanner API

    7. To get the permissions that you need to create instances and databases, ask your administrator to grant you the Cloud Spanner Admin (roles/spanner.admin) IAM role on your project.

    Create an instance

    When you first use Spanner, you must create an instance, which is an allocation of resources that are used by Spanner databases in that instance.

    1. In the Google Cloud console, go to the Spannerpage.

      Go to Spanner

    2. Select or create a Google Cloud project if you haven't done so already.

    3. On the Spannerpage, click Create a provisioned instance.

      If you've used Spanner before, you'll see the Spanner Instancespage instead of the product page. Click Create instance.

    4. In the Name your instancepage, enter an instance name, such as Test Instance.

    5. The instance ID is automatically entered based on the instance name, for example, as test-instance. Change it, if required. Click Continue.

    6. In the Configure your instancepage, retain the default option Regionaland select a configuration from the drop-down menu.

      Your instance configuration determines the geographic location where your instances are stored and replicated.

    7. Click Continue.

    8. In the Allocate compute capacitypage, select Processing units (PUs)and retain the default value of 1000 processing units.

    9. Click Create.

      The Google Cloud console displays the Overviewpage for the instance you created.

    Create a database

    1. In the Google Cloud console, go to the Spanner Instancespage.

      Go to Spanner instances

    2. Click the instance you created, for example Test Instance.

    3. In the instance Overview page that opens, click Create database.

    4. For the database name, enter a name, such as example-db.

    5. Select a database dialect.

      For information about support for PostgreSQL and for guidance for choosing a dialect, see PostgreSQL interface . If you selected GoogleSQL, you'll define the schema in the Define your schematext field in the next section of this quickstart.

      Your database creation page now looks like this:

      The updated database creation window.

    6. Click Create.

      The Google Cloud console displays the Overviewpage for the database you created.

    Create a schema for your database

    1. In the navigation menu, click Spanner Studio.

    2. In the Spanner Studiopage, click New tabor use the empty editor tab.

    3. Enter:

      GoogleSQL

        CREATE 
  
 TABLE 
  
 Singers 
  
 ( 
  
 SingerId 
  
 INT64 
  
 NOT 
  
 NULL 
 , 
  
 FirstName 
  
 STRING 
 ( 
 1024 
 ), 
  
 LastName 
  
 STRING 
 ( 
 1024 
 ), 
  
 SingerInfo 
  
 BYTES 
 ( 
 MAX 
 ), 
  
 BirthDate 
  
 DATE 
 ) 
  
 PRIMARY 
  
 KEY 
 ( 
 SingerId 
 );

      PostgreSQL

        CREATE 
  
 TABLE 
  
 Singers 
  
 ( 
  
 BirthDate 
  
 TIMESTAMPTZ 
 , 
  
 SingerId 
  
 BIGINT 
  
 PRIMARY 
  
 KEY 
 , 
  
 FirstName 
  
 VARCHAR 
 ( 
 1024 
 ), 
  
 LastName 
  
 VARCHAR 
 ( 
 1024 
 ), 
  
 SingerInfo 
  
 BYTEA 
 );

    4. Click Run.

      The Google Cloud console returns to the database Overviewpage and shows that Schema updatesare underway. When the update is complete, the page looks like this:

      GoogleSQL

      The updated overview page.

      PostgreSQL

      The updated overview page.

      Notice that PostgreSQL converts the table name to lowercase.

    Insert and modify data

    The Google Cloud console provides an interface for inserting, editing, and deleting data.

    Insert data

    1. In the list of tables on the database Overviewpage, click the Singers table.

      The Google Cloud console displays the Singers table's Schemapage.

    2. In the navigation menu, click Datato display the Singers table's Datapage.

    3. Click Insert.

      The Google Cloud console displays the Singers table's Spanner Studio page with a new query tab that contains INSERT and SELECT statements that you edit to insert a row in the Singers table and view the result of that insertion:

      GoogleSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 Singers 
  
 ( 
 SingerId 
 , 
  
 BirthDate 
 , 
  
 FirstName 
 , 
  
 LastName 
 , 
  
 SingerInfo 
 ) 
 VALUES 
  
 ( 
< SingerId 
> , 
  
 -- type: INT64 
  
< BirthDate 
> , 
  
 -- type: DATE 
  
< FirstName 
> , 
  
 -- type: STRING(1024) 
  
< LastName 
> , 
  
 -- type: STRING(1024) 
  
< SingerInfo 
>  
 -- type: BYTES(MAX) 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 Singers 
 WHERE 
  
 SingerId 
 = 
< SingerId 
> ;

      PostgreSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 singers 
  
 ( 
 singerid 
 , 
  
 birthdate 
 , 
  
 firstname 
 , 
  
 lastname 
 , 
  
 singerinfo 
 ) 
 VALUES 
  
 ( 
< singerid 
> , 
  
 -- type: bigint 
  
< birthdate 
> , 
  
 -- type: timestamp with time zone 
  
< firstname 
> , 
  
 -- type: character varying 
  
< lastname 
> , 
  
 -- type: character varying 
  
< singerinfo 
>  
 -- type: bytea 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 singers 
 WHERE 
  
 singerid 
 = 
< singerid 
> ;

      Notice that PostgreSQL converts the column names to all lower case.

    4. Edit the INSERT statement's VALUES clause and the SELECT statement's WHERE clause:

      GoogleSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 Singers 
  
 ( 
 SingerId 
 , 
  
 BirthDate 
 , 
  
 FirstName 
 , 
  
 LastName 
 , 
  
 SingerInfo 
 ) 
 VALUES 
  
 ( 
 1 
 , 
  
 -- type: INT64 
  
 NULL 
 , 
  
 -- type: DATE 
  
 'Marc' 
 , 
  
 -- type: STRING(1024) 
  
 'Richards' 
 , 
  
 -- type: STRING(1024) 
  
 NULL 
  
 -- type: BYTES(MAX) 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 Singers 
 WHERE 
  
 SingerId 
 = 
 1 
 ;

      PostgreSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 singers 
  
 ( 
 singerid 
 , 
  
 birthdate 
 , 
  
 firstname 
 , 
  
 lastname 
 , 
  
 singerinfo 
 ) 
 VALUES 
  
 ( 
 1 
 , 
  
 -- type: bigint 
  
 NULL 
 , 
  
 -- type: timestamp with time zone 
  
 'Marc' 
 , 
  
 -- type: character varying 
  
 'Richards' 
 , 
  
 -- type: character varying 
  
 NULL 
  
 -- type: bytea 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 singers 
 WHERE 
  
 singerid 
 = 
 1 
 ;

    5. Click Run.

      Spanner runs the statements. When finished, the Resultstab indicates that the first statement inserted one row, and provides a link to view the table's data.

    6. In the Resultstab, click the tablelink. The Singers table now has one row:

      GoogleSQL

      The updated Singers table data with one row.

      PostgreSQL

      The updated Singers table data with one row.

    7. Click Insertto add another row.

      The Google Cloud console again displays the Singers table's Spanner Studiopage with a new query tab that contains the same INSERT and SELECT statements.

    8. Edit the INSERT statement's VALUES clause and the SELECT statement's WHERE clause:

      GoogleSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 Singers 
  
 ( 
 SingerId 
 , 
  
 BirthDate 
 , 
  
 FirstName 
 , 
  
 LastName 
 , 
  
 SingerInfo 
 ) 
 VALUES 
  
 ( 
 2 
 , 
  
 -- type: INT64 
  
 NULL 
 , 
  
 -- type: DATE 
  
 'Catalina' 
 , 
  
 -- type: STRING(1024) 
  
 'Smith' 
 , 
  
 -- type: STRING(1024) 
  
 NULL 
  
 -- type: BYTES(MAX) 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 Singers 
 WHERE 
  
 SingerId 
 = 
 2 
 ;

      PostgreSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 singers 
  
 ( 
 singerid 
 , 
  
 birthdate 
 , 
  
 firstname 
 , 
  
 lastname 
 , 
  
 singerinfo 
 ) 
 VALUES 
  
 ( 
 2 
 , 
  
 -- type: bigint 
  
 NULL 
 , 
  
 -- type: timestamp with time zone 
  
 'Catalina' 
 , 
  
 -- type: character varying 
  
 'Smith' 
 , 
  
 -- type: character varying 
  
 NULL 
  
 -- type: bytea 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 singers 
 WHERE 
  
 singerid 
 = 
 2 
 ;

    9. Click Run.

      After Spanner runs the statements, the Resultstab again indicates that the first statement inserted one row.

    10. Click the tablelink. The Singers table now has two rows:

      GoogleSQL

      The updated Singers table data with two rows.

      PostgreSQL

      The updated Singers table data with two rows.

    You can also insert empty string values when you enter data.

    1. Click Insertto add a row.

      Spanner again displays the Singers table's Spanner Studiopage with a new query tab that contains the same INSERT and SELECT statements.

    2. Edit the template INSERT statement's VALUES clause and SELECT statement's WHERE clause:

      GoogleSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 Singers 
  
 ( 
 SingerId 
 , 
  
 BirthDate 
 , 
  
 FirstName 
 , 
  
 LastName 
 , 
  
 SingerInfo 
 ) 
 VALUES 
  
 ( 
 3 
 , 
  
 -- type: INT64 
  
 NULL 
 , 
  
 -- type: DATE 
  
 'Kena' 
 , 
  
 -- type: STRING(1024) 
  
 '' 
 , 
  
 -- type: STRING(1024) 
  
 NULL 
  
 -- type: BYTES(MAX) 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 Singers 
 WHERE 
  
 SingerId 
 = 
 3 
 ;

      PostgreSQL

         
 -- Add new values in the VALUES clause in order of the column list. 
  
 -- Each value must be type compatible with its associated column. 
 INSERT 
  
 INTO 
  
 singers 
  
 ( 
 singerid 
 , 
  
 birthdate 
 , 
  
 firstname 
 , 
  
 lastname 
 , 
  
 singerinfo 
 ) 
 VALUES 
  
 ( 
 3 
 , 
  
 -- type: bigint 
  
 NULL 
 , 
  
 -- type: timestamp with time zone 
  
 'Kena' 
 , 
  
 -- type: character varying 
  
 '' 
 , 
  
 -- type: character varying 
  
 NULL 
  
 -- type: bytea 
  
 ); 
  
 -- Change values in the WHERE condition to match the inserted row. 
 SELECT 
  
 * 
 FROM 
  
 singers 
 WHERE 
  
 singerid 
 = 
 3 
 ;

      Notice that the value provided for the last name column is an empty string, '' , not a NULL value.

    3. Click Run.

      After Spanner runs the statements, the Resultstab indicates that the first statement inserted one row.

    4. Click the tablelink. The Singers table now has three rows, and the row with the primary key value of 3 has an empty string in the LastName column:

      GoogleSQL

      The updated Singers table data with three rows.

      PostgreSQL

      The updated Singers table data with three rows.

    Edit data

    1. On the Singers table's Datapage, select the checkbox on the row with the primary key value of 3 , and then click Edit.

      The Spanner displays the Spanner Studiopage with a new tab containing template UPDATE and SET statements that you can edit. Note that the WHERE clauses of both statements indicate that the row to update is the one with the primary key value of 3 .

      GoogleSQL

         
 -- Change values in the SET clause to update the row where the WHERE condition is true. 
 UPDATE 
  
 Singers 
 SET 
  
 BirthDate 
 = 
 '' 
 , 
  
 FirstName 
 = 
 'Kena' 
 , 
  
 LastName 
 = 
 '' 
 , 
  
 SingerInfo 
 = 
 '' 
 WHERE 
  
 SingerId 
 = 
 3 
 ; 
 SELECT 
  
 * 
 FROM 
  
 Singers 
 WHERE 
  
 SingerId 
 = 
 3 
 ;

      PostgreSQL

         
 -- Change values in the SET clause to update the row where the WHERE condition is true. 
 UPDATE 
  
 singers 
 SET 
  
 birthdate 
 = 
 NULL 
 , 
  
 firstname 
 = 
 'Kena' 
 , 
  
 lastname 
 = 
 '' 
 , 
  
 singerinfo 
 = 
 NULL 
 WHERE 
  
 singerid 
 = 
 '3' 
 ; 
 SELECT 
  
 * 
 FROM 
  
 singers 
 WHERE 
  
 singerid 
 = 
 '3' 
 ;

    2. Edit the UPDATE statement's SET clause to update only the birth date:

      GoogleSQL

         
 -- Change values in the SET clause to update the row where the WHERE condition is true. 
 UPDATE 
  
 Singers 
 SET 
  
 BirthDate 
 = 
 '1961-04-01' 
 WHERE 
  
 SingerId 
 = 
 3 
 ; 
 SELECT 
  
 * 
 FROM 
  
 Singers 
 WHERE 
  
 SingerId 
 = 
 3 
 ;

      PostgreSQL

         
 -- Change values in the SET clause to update the row where the WHERE condition is true. 
 UPDATE 
  
 singers 
 SET 
  
 birthdate 
 = 
 '1961-04-01 00:00:00 -8:00' 
 WHERE 
  
 singerid 
 = 
 '3' 
 ; 
 SELECT 
  
 * 
 FROM 
  
 singers 
 WHERE 
  
 singerid 
 = 
 '3' 
 ;

    3. Click Run.

      Spanner runs the statements. When finished, the Resultstab indicates that the first statement updated one row, and provides a link to view the table's data.

    4. In the Resultstab, click the tablelink.

      The updated row now has a value for the birth date.

      GoogleSQL

      The updated Singers table data with an updated row.

      PostgreSQL

      The updated Singers table data with an updated row.

    Delete data

    1. On the Singers table's Datapage, select the checkbox on the row with 2 in the first column, and then click Delete.

    2. In the dialog that appears, click Confirm.

      The Singers table now has two rows:

      GoogleSQL

      The updated Singers table data with two rows; the row for SingerId 2 is gone.

      PostgreSQL

      The updated Singers table data with two rows; the row for SingerId 2 is gone.

    Run a query

    1. On the database Overviewpage, click Spanner Studioin the navigation menu.

    2. Click New tabto create a new query tab. Then, enter the following query in the query editor:

      GoogleSQL

        SELECT 
  
 * 
  
 FROM 
  
 Singers 
 ;

      PostgreSQL

        SELECT 
  
 * 
  
 FROM 
  
 singers 
 ;

    3. Click Run.

      Spanner runs the query. When finished, the Resultstab displays the result of your query:

      GoogleSQL

      The query results.

      PostgreSQL

      The query results.

    Congratulations! You've successfully created a Spanner database and executed a SQL statement by using the query editor!

    Clean up

    To avoid additional charges to your Cloud Billing account, delete the database and the instance that you created. Deleting an instance automatically deletes all databases created in the instance.

    Delete the database

    1. In the Google Cloud console, go to the Spanner Instancespage.

      Go to Spanner instances

    2. Click the name of the instance that has the database that you want to delete, for example, Test Instance.

    3. Click the name of the database that you want to delete, for example, example-db.

    4. In the Database detailspage, click Delete database.

    5. Confirm that you want to delete the database by entering the database name and clicking Delete.

    Delete the instance

    1. In the Google Cloud console, go to the Spanner Instancespage.

      Go to Spanner instances

    2. Click the name of the instance that you want to delete, for example, Test Instance.

    3. Click Delete instance.

    4. Confirm that you want to delete the instance by entering the instance name and clicking Delete.

    What's next
    Create a Mobile Website
    View Site in Mobile | Classic
    Share by: