Getting started with Spanner in Ruby
Stay organized with collections
Save and categorize content based on your preferences.
Objectives
This tutorial walks you through the following steps using the Spanner client library for Ruby:
- Create a Spanner instance and database.
- Write, read, and execute SQL queries on data in the database.
- Update the database schema.
- Update data using a read-write transaction.
- Add a secondary index to the database.
- Use the index to read and execute SQL queries on data.
- Retrieve data using a read-only transaction.
Costs
This tutorial uses Spanner, which is a billable component of the Google Cloud. For information on the cost of using Spanner, see Pricing.
Before you begin
Complete the steps described in Set up, which cover creating and setting a default Google Cloud project, enabling billing, enabling the Cloud Spanner API, and setting up OAuth 2.0 to get authentication credentials to use the Cloud Spanner API.
In particular, make sure that you run gcloud auth
application-default login
to set up your local development environment with authentication
credentials.
Prepare your local Ruby environment
Install the following on your development machine if they are not already installed:
Clone the sample app repository to your local machine:
gitclonehttps://github.com/GoogleCloudPlatform/ruby-docs-samples
Alternatively, you can download the sample as a zip file and extract it.
Change to the directory that contains the Spanner sample code:
cdruby-docs-samples/spanner/
Install dependencies:
bundleinstall
Set the GOOGLE_CLOUD_PROJECT environment variable to your Google Cloud project ID:
exportGOOGLE_CLOUD_PROJECT=[MY_PROJECT_ID]
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. When you create an instance, you choose an instance configuration, which determines where your data is stored, and also the number of nodes to use, which determines the amount of serving and storage resources in your instance.
See Create an instance
to learn how to create a Spanner instance using any of the
following methods. You can name your instance test-instance
to use it with
other topics in this document that reference an instance named test-instance
.
- The Google Cloud CLI
- The Google Cloud console
- A client library (C++, C#, Go, Java, Node.js, PHP, Python, or Ruby)
Look through sample files
The samples repository contains a sample that shows how to use Spanner with Ruby.
Take a look through thespanner_samples.rb
file, which shows how to use
Spanner. The code shows how to create and use a new database. The data
uses the example schema shown in the
Schema and data model page.
Create a database
GoogleSQL
bundleexecrubyspanner_samples.rbcreate_databasetest-instanceexample-db
PostgreSQL
bundleexecrubyspanner_postgresql_create_database.rbpostgresql_create_databaseMY_PROJECT_IDtest-instanceexample-db
You should see:
Createddatabaseexample-dboninstancetest-instance
GoogleSQL
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
require"google/cloud/spanner/admin/database"
database_admin_client=Google::Cloud::Spanner::Admin::Database.database_admin
instance_path=database_admin_client.instance_pathproject:project_id,instance:instance_id
job=database_admin_client.create_databaseparent:instance_path,
create_statement:"CREATE DATABASE `#{database_id}`",
extra_statements:[
"CREATE TABLE Singers (
SingerId INT64 NOT NULL,
FirstName STRING(1024),
LastName STRING(1024),
SingerInfo BYTES(MAX)
) PRIMARY KEY (SingerId)",
"CREATE TABLE Albums (
SingerId INT64 NOT NULL,
AlbumId INT64 NOT NULL,
AlbumTitle STRING(MAX)
) PRIMARY KEY (SingerId, AlbumId),
INTERLEAVE IN PARENT Singers ON DELETE CASCADE"
]
puts"Waiting for create database operation to complete"
job.wait_until_done!
puts"Created database #{database_id} on instance #{instance_id}"
PostgreSQL
require"google/cloud/spanner"
require"google/cloud/spanner/admin/database"
defpostgresql_create_databaseproject_id:,instance_id:,database_id:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
database_admin_client=Google::Cloud::Spanner::Admin::Database.database_adminproject:project_id
instance_path=database_admin_client.instance_pathproject:project_id,instance:instance_id
job=database_admin_client.create_databaseparent:instance_path,
create_statement:"CREATE DATABASE \"#{database_id}\"",
database_dialect::POSTGRESQL
puts"Waiting for create database operation to complete"
job.wait_until_done!
puts"Created database #{database_id} on instance #{instance_id}"
end
The next step is to write data to your database.
Create a database client
Before you can do reads or writes, you must create aClient
. You
can think of a Client
as a database connection: all of your interactions with
Spanner must go through a Client
. Typically you create a Client
when
your application starts up, then you re-use that Client
to read, write, and
execute transactions. The following code shows how to create a client.
# Imports the Google Cloud client library
require"google/cloud/spanner"
# Your Google Cloud Platform project ID
project_id="YOUR_PROJECT_ID"
# Instantiates a client
spanner=Google::Cloud::Spanner .newproject:project_id
# Your Cloud Spanner instance ID
instance_id="my-instance"
# Your Cloud Spanner database ID
database_id="my-database"
# Gets a reference to a Cloud Spanner instance database
database_client=spanner.client instance_id,database_id
# Execute a simple SQL statement
results=database_client.execute_query"SELECT 1"
results.rows.each do|row|
putsrow
end
Read more in the Client
reference.
Write data with DML
You can insert data using Data Manipulation Language (DML) in a read-write transaction.
You use the execute_update()
method to execute a DML statement.
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
row_count=0
client.transactiondo|transaction|
row_count=transaction.execute_update (
"INSERT INTO Singers (SingerId, FirstName, LastName) VALUES
(12, 'Melissa', 'Garcia'),
(13, 'Russell', 'Morales'),
(14, 'Jacqueline', 'Long'),
(15, 'Dylan', 'Shaw'),
(16, 'Billie', 'Eillish'),
(17, 'Judy', 'Garland'),
(18, 'Taylor', 'Swift'),
(19, 'Miley', 'Cyrus'),
(20, 'Michael', 'Jackson'),
(21, 'Ariana', 'Grande'),
(22, 'Elvis', 'Presley'),
(23, 'Kanye', 'West'),
(24, 'Lady', 'Gaga'),
(25, 'Nick', 'Jonas')"
)
end
puts"#{row_count} records inserted."
Run the sample using the write_using_dml
argument.
bundleexecrubyspanner_samples.rbwrite_using_dmltest-instanceexample-db
You should see:
4recordsinserted.
Write data with mutations
You can also insert data using mutations.
You write data using a
Client
object. The
Client#commit
method creates and commits a transaction for writes that execute atomically
at a single logical point in time across columns, rows, and tables in a
database.
This code shows how to write the data using mutations:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
client.commitdo|c|
c.insert"Singers",[
{SingerId:1,FirstName:"Marc",LastName:"Richards"},
{SingerId:2,FirstName:"Catalina",LastName:"Smith"},
{SingerId:3,FirstName:"Alice",LastName:"Trentor"},
{SingerId:4,FirstName:"Lea",LastName:"Martin"},
{SingerId:5,FirstName:"David",LastName:"Lomond"}
]
c.insert"Albums",[
{SingerId:1,AlbumId:1,AlbumTitle:"Total Junk"},
{SingerId:1,AlbumId:2,AlbumTitle:"Go, Go, Go"},
{SingerId:2,AlbumId:1,AlbumTitle:"Green"},
{SingerId:2,AlbumId:2,AlbumTitle:"Forever Hold Your Peace"},
{SingerId:2,AlbumId:3,AlbumTitle:"Terrified"}
]
end
puts"Inserted data"
Run the sample using the insert_data
argument.
bundleexecrubyspanner_samples.rbinsert_datatest-instanceexample-db
You should see:
Inserteddata
Query data using SQL
Spanner supports a SQL interface for reading data, which you can access on the command line using the Google Cloud CLI or programmatically using the Spanner client library for Ruby.
On the command line
Execute the following SQL statement to read the values of all columns from the
Albums
table:
gcloudspannerdatabasesexecute-sqlexample-db--instance=test-instance\
--sql='SELECT SingerId, AlbumId, AlbumTitle FROM Albums'
The result shows:
SingerIdAlbumIdAlbumTitle
11TotalJunk
12Go,Go,Go
21Green
22ForeverHoldYourPeace
23Terrified
Use the Spanner client library for Ruby
In addition to executing a SQL statement on the command line, you can issue the same SQL statement programmatically using the Spanner client library for Ruby.
Use the
Client#execute
method to run the SQL query. Use a Ruby symbol :ColumnName
to access data for
a specific column from a row.
Here's how to issue the query and access the data:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
client.execute("SELECT SingerId, AlbumId, AlbumTitle FROM Albums").rows.each do|row|
puts"#{row[:SingerId]}#{row[:AlbumId]}#{row[:AlbumTitle]}"
end
Run the sample using the query_data
argument.
bundleexecrubyspanner_samples.rbquery_datatest-instanceexample-db
You should see the following result:
11TotalJunk
12Go,Go,Go
21Green
22ForeverHoldYourPeace
23Terrified
Query using a SQL parameter
If your application has a frequently executed query, you can improve its performance by parameterizing it. The resulting parametric query can be cached and reused, which reduces compilation costs. For more information, see Use query parameters to speed up frequently executed queries.
Here is an example of using a parameter in the WHERE
clause to
query records containing a specific value for LastName
.
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
sql_query="SELECT SingerId, FirstName, LastName
FROM Singers
WHERE LastName = @lastName"
params={lastName:"Garcia"}
param_types={lastName::STRING}
client.execute(sql_query,params:params,types:param_types).rows.each do|row|
puts"#{row[:SingerId]}#{row[:FirstName]}#{row[:LastName]}"
end
Run the sample using the query_with_parameter argument.
bundleexecrubyspanner_samples.rbquery_with_parametertest-instanceexample-db
You should see the following result:
12MelissaGarcia
Read data using the read API
In addition to Spanner's SQL interface, Spanner also supports a read interface.
Use the Client#read
method of the Client
class to read rows from the database.
Here's how to read the data:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
client.read("Albums",[:SingerId,:AlbumId,:AlbumTitle]).rows.each do|row|
puts"#{row[:SingerId]}#{row[:AlbumId]}#{row[:AlbumTitle]}"
end
Run the sample using the read_data
argument.
bundleexecrubyspanner_samples.rbread_datatest-instanceexample-db
You should see output similar to:
11TotalJunk
12Go,Go,Go
21Green
22ForeverHoldYourPeace
23Terrified
Update the database schema
Assume you need to add a new column called MarketingBudget
to the Albums
table. Adding a new column to an existing table requires an update to your
database schema. Spanner supports schema updates to a database while the
database continues to serve traffic. Schema updates don't require taking the
database offline and they don't lock entire tables or columns; you can continue
writing data to the database during the schema update. Read more about supported
schema updates and schema change performance in
Make schema updates.
Add a column
You can add a column on the command line using the Google Cloud CLI or programmatically using the Spanner client library for Ruby.
On the command line
Use the following ALTER TABLE
command to
add the new column to the table:
GoogleSQL
gcloudspannerdatabasesddlupdateexample-db--instance=test-instance\
--ddl='ALTER TABLE Albums ADD COLUMN MarketingBudget INT64'
PostgreSQL
gcloudspannerdatabasesddlupdateexample-db--instance=test-instance\
--ddl='ALTER TABLE Albums ADD COLUMN MarketingBudget BIGINT'
You should see:
Schemaupdating...done.
Use the Spanner client library for Ruby
Use theDatabase#update
method of the Database
class to modify the schema:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
require"google/cloud/spanner/admin/database"
database_admin_client=Google::Cloud::Spanner::Admin::Database.database_admin
db_path=database_admin_client.database_pathproject:project_id,
instance:instance_id,
database:database_id
job=database_admin_client.update_database_ddldatabase:db_path,
statements:[
"ALTER TABLE Albums ADD COLUMN MarketingBudget INT64"
]
puts"Waiting for database update to complete"
job.wait_until_done!
puts"Added the MarketingBudget column"
Run the sample using the add_column
argument.
bundleexecrubyspanner_samples.rbadd_columntest-instanceexample-db
You should see:
AddedtheMarketingBudgetcolumn
Write data to the new column
The following code writes data to the new column. It sets MarketingBudget
to
100000
for the row keyed by Albums(1, 1)
and to 500000
for the row keyed
by Albums(2, 2)
.
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
client.commitdo|c|
c.update"Albums",[
{SingerId:1,AlbumId:1,MarketingBudget:100_000},
{SingerId:2,AlbumId:2,MarketingBudget:500_000}
]
end
puts"Updated data"
Run the sample using the update_data
argument.
bundleexecrubyspanner_samples.rbupdate_datatest-instanceexample-db
You should see:
Updateddata
You can also execute a SQL query or a read call to fetch the values that you just wrote.
Here's the code to execute the query:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
client.execute("SELECT SingerId, AlbumId, MarketingBudget FROM Albums").rows.each do|row|
puts"#{row[:SingerId]}#{row[:AlbumId]}#{row[:MarketingBudget]}"
end
To execute this query, run the sample using the query_data_with_new_column
argument.
bundleexecrubyspanner_samples.rbquery_data_with_new_columntest-instanceexample-db
You should see:
11100000
12
21
22500000
23
Update data
You can update data using DML in a read-write transaction.
You use the execute_update()
method to execute a DML statement.
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
transfer_amount=200_000
client.transactiondo|transaction|
first_album=transaction.execute(
"SELECT MarketingBudget from Albums
WHERE SingerId = 1 and AlbumId = 1"
).rows.first
second_album=transaction.execute(
"SELECT MarketingBudget from Albums
WHERE SingerId = 2 and AlbumId = 2"
).rows.first
raise"The second album does not have enough funds to transfer"ifsecond_album[:MarketingBudget] < transfer_amount
new_first_album_budget=first_album[:MarketingBudget]+transfer_amount
new_second_album_budget=second_album[:MarketingBudget]-transfer_amount
transaction.execute_update (
"UPDATE Albums SET MarketingBudget = @albumBudget WHERE SingerId = 1 and AlbumId = 1",
params:{albumBudget:new_first_album_budget}
)
transaction.execute_update (
"UPDATE Albums SET MarketingBudget = @albumBudget WHERE SingerId = 2 and AlbumId = 2",
params:{albumBudget:new_second_album_budget}
)
end
puts"Transaction complete"
Run the sample using the write_with_transaction_using_dml
argument.
bundleexecrubyspanner_samples.rbwrite_with_transaction_using_dmltest-instanceexample-db
You should see:
Transactioncomplete
Use a secondary index
Suppose you wanted to fetch all rows of Albums
that have AlbumTitle
values
in a certain range. You could read all values from the AlbumTitle
column using
a SQL statement or a read call, and then discard the rows that don't meet the
criteria, but doing this full table scan is expensive, especially for tables
with a lot of rows. Instead you can speed up the retrieval of rows when
searching by non-primary key columns by creating a
secondary index on the table.
Adding a secondary index to an existing table requires a schema update. Like other schema updates, Spanner supports adding an index while the database continues to serve traffic. Spanner automatically backfills the index with your existing data. Backfills might take a few minutes to complete, but you don't need to take the database offline or avoid writing to the indexed table during this process. For more details, see Add a secondary index.
After you add a secondary index, Spanner automatically uses it for SQL queries that are likely to run faster with the index. If you use the read interface, you must specify the index that you want to use.
Add a secondary index
You can add an index on the command line using the gcloud CLI or programmatically using the Spanner client library for Ruby.
On the command line
Use the following CREATE INDEX
command
to add an index to the database:
gcloudspannerdatabasesddlupdateexample-db--instance=test-instance\
--ddl='CREATE INDEX AlbumsByAlbumTitle ON Albums(AlbumTitle)'
You should see:
Schemaupdating...done.
Using the Spanner client library for Ruby
Use the
Database#update
method of the Database
class to add an index:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
require"google/cloud/spanner/admin/database"
database_admin_client=Google::Cloud::Spanner::Admin::Database.database_admin
db_path=database_admin_client.database_pathproject:project_id,
instance:instance_id,
database:database_id
job=database_admin_client.update_database_ddldatabase:db_path,
statements:[
"CREATE INDEX AlbumsByAlbumTitle ON Albums(AlbumTitle)"
]
puts"Waiting for database update to complete"
job.wait_until_done!
puts"Added the AlbumsByAlbumTitle index"
Run the sample using the create_index
argument.
bundleexecrubyspanner_samples.rbcreate_indextest-instanceexample-db
Adding an index can take a few minutes. After the index is added, you should see:
AddedtheAlbumsByAlbumTitleindex
Read using the index
For SQL queries, Spanner automatically uses an appropriate index. In the read interface, you must specify the index in your request.
To use the index in the read interface, provide an index
parameter to the
read
method of the Client
class.
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
result=client.read"Albums",[:AlbumId,:AlbumTitle],
index:"AlbumsByAlbumTitle"
result.rows.each do|row|
puts"#{row[:AlbumId]}#{row[:AlbumTitle]}"
end
Run the sample using the read_data_with_index
argument.
bundleexecrubyspanner_samples.rbread_data_with_indextest-instanceexample-db
You should see:
2ForeverHoldYourPeace
2Go,Go,Go
1Green
3Terrified
1TotalJunk
Add an index for index-only reads
You might have noticed that the previous read example doesn't include reading
the MarketingBudget
column. This is because Spanner's read interface
doesn't support the ability to join an index with a data table to look up values
that are not stored in the index.
Create an alternate definition of AlbumsByAlbumTitle
that stores a copy of
MarketingBudget
in the index.
On the command line
GoogleSQL
gcloudspannerdatabasesddlupdateexample-db--instance=test-instance\
--ddl='CREATE INDEX AlbumsByAlbumTitle2 ON Albums(AlbumTitle) STORING (MarketingBudget)
PostgreSQL
gcloudspannerdatabasesddlupdateexample-db--instance=test-instance\
--ddl='CREATE INDEX AlbumsByAlbumTitle2 ON Albums(AlbumTitle) INCLUDE (MarketingBudget)
Adding an index can take a few minutes. After the index is added, you should see:
Schemaupdating...done.
Using the Spanner client library for Ruby
Use theDatabase#update
method of the Database
class to add an index with a STORING
clause:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
require"google/cloud/spanner/admin/database"
database_admin_client=Google::Cloud::Spanner::Admin::Database.database_admin
db_path=database_admin_client.database_pathproject:project_id,
instance:instance_id,
database:database_id
job=database_admin_client.update_database_ddldatabase:db_path,
statements:[
"CREATE INDEX AlbumsByAlbumTitle2 ON Albums(AlbumTitle)
STORING (MarketingBudget)"
]
puts"Waiting for database update to complete"
job.wait_until_done!
puts"Added the AlbumsByAlbumTitle2 storing index"
Run the sample using the create_storing_index
argument.
bundleexecrubyspanner_samples.rbcreate_storing_indextest-instanceexample-db
You should see:
AddedtheAlbumsByAlbumTitle2index
Now you can execute a read that fetches all AlbumId
, AlbumTitle
, and
MarketingBudget
columns from the AlbumsByAlbumTitle2
index:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
result=client.read"Albums",[:AlbumId,:AlbumTitle,:MarketingBudget],
index:"AlbumsByAlbumTitle2"
result.rows.each do|row|
puts"#{row[:AlbumId]}#{row[:AlbumTitle]}#{row[:MarketingBudget]}"
end
Run the sample using the read_data_with_storing_index
argument.
bundleexecrubyspanner_samples.rbread_data_with_storing_indextest-instanceexample-db
You should see output similar to:
2ForeverHoldYourPeace300000
2Go,Go,Go
1Green
3Terrified
1TotalJunk300000
Retrieve data using read-only transactions
Suppose you want to execute more than one read at the same timestamp. Read-only
transactions observe a consistent
prefix of the transaction commit history, so your application always gets
consistent data.
Use a Snapshot
object for executing read-only transactions. Use the
snapshot
method of the Client
class to get a Snapshot
object.
The following shows how to run a query and perform a read in the same read-only transaction:
# project_id = "Your Google Cloud project ID"
# instance_id = "Your Spanner instance ID"
# database_id = "Your Spanner database ID"
require"google/cloud/spanner"
spanner=Google::Cloud::Spanner .newproject:project_id
client=spanner.client instance_id,database_id
client.snapshot do|snapshot|
snapshot.execute("SELECT SingerId, AlbumId, AlbumTitle FROM Albums").rows.each do|row|
puts"#{row[:AlbumId]}#{row[:AlbumTitle]}#{row[:SingerId]}"
end
# Even if changes occur in-between the reads, the transaction ensures that
# both return the same data.
snapshot.read("Albums",[:AlbumId,:AlbumTitle,:SingerId]).rows.each do|row|
puts"#{row[:AlbumId]}#{row[:AlbumTitle]}#{row[:SingerId]}"
end
end
Run the sample using the read_only_transaction
argument.
bundleexecrubyspanner_samples.rbread_only_transactiontest-instanceexample-db
You should see output similar to:
2ForeverHoldYourPeace2
2Go,Go,Go1
1Green2
3Terrified2
1TotalJunk1
1TotalJunk1
2Go,Go,Go1
1Green2
2ForeverHoldYourPeace2
3Terrified2
Cleanup
To avoid incurring additional charges to your Cloud Billing account for the resources used in this tutorial, drop the database and delete the instance that you created.
Delete the database
If you delete an instance, all databases within it are automatically deleted. This step shows how to delete a database without deleting an instance (you would still incur charges for the instance).
On the command line
gcloudspannerdatabasesdeleteexample-db--instance=test-instance
Using the Google Cloud console
Go to the Spanner Instances page in the Google Cloud console.
Click the instance.
Click the database that you want to delete.
In the Database details page, click Delete.
Confirm that you want to delete the database and click Delete.
Delete the instance
Deleting an instance automatically drops all databases created in that instance.
On the command line
gcloudspannerinstancesdeletetest-instance
Using the Google Cloud console
Go to the Spanner Instances page in the Google Cloud console.
Click your instance.
Click Delete.
Confirm that you want to delete the instance and click Delete.
What's next
Learn how to access Spanner with a virtual machine instance.
Learn about authorization and authentication credentials in Authenticate to Cloud services using client libraries.
Learn more about Spanner Schema design best practices.