Cloud Spanner
Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, schemas, SQL (ANSI 2011 with extensions), and automatic, synchronous replication for high availability.
For more information about Cloud Spanner, read the Cloud Spanner Documentation.
The goal of google-cloud is to provide an API that is comfortable to Rubyists. Your authentication credentials are detected automatically in Google Cloud Platform (GCP), including Google Compute Engine (GCE), Google Kubernetes Engine (GKE), Google App Engine (GAE), Google Cloud Functions (GCF) and Cloud Run. In other environments you can configure authentication easily, either directly in your code or via environment variables. Read more about the options for connecting in the Authentication Guide.
Creating instances
When you first use Cloud Spanner, you must create an instance, which is an allocation of resources that are used by Cloud Spanner databases. When you create an instance, you choose where your data is stored and how many nodes are used for your data. (For more information, see Configuration Guide.
Use Client#create_instance to create an instance:
require"google/cloud/spanner" instance_admin_client=\ Google::Cloud::Spanner::Admin::Instance.instance_adminproject_id:"my-project" project_path=\ instance_admin_client.project_pathproject:"my-project" config_path=\ instance_admin_client.instance_config_pathproject:"my-project", instance_config:"regional-us-central1" instance_path=\ instance_admin_client.instance_pathproject:"my-project", instance:"my-instance" job=instance_admin_client.create_instanceparent:project_path, instance_id:"my-instance", instance:Google::Cloud::Spanner::Admin::Instance::V1::Instance.new({ name:instance_path display_name:"My Instance", config:config_path, node_count:5, labels:{"production"::env} }) job.wait_until_done! instance=job.results
Creating databases
Now that you have created an instance, you can create a database. Cloud Spanner databases hold the tables and indexes that allow you to read and write data. You may create multiple databases in an instance.
Use Client#create_database to create a database:
require"google/cloud/spanner" db_admin_client=\ Google::Cloud::Spanner::Admin::Database.database_adminproject_id:"my-project" instance_path=\ db_admin_client.instance_pathproject:"my-project",instance:"my-instance" job=db_admin_client.create_databaseparent:instance_path, create_statement:"CREATE DATABASE my-database", job.wait_until_done! database=job.results
Updating database schemas
Cloud Spanner supports schema updates to a database while the database continues to serve traffic. Schema updates do not require taking the database offline and they do not lock entire tables or columns; you can continue writing data to the database during the schema update.
Use Client#update_database_ddl to execute one or more statements in Cloud Spanner's Data Definition Language (DDL):
require"google/cloud/spanner" db_admin_client=\ Google::Cloud::Spanner::Admin::Database.database_adminproject_id:"my-project" db_path=db_admin_client.database_pathproject:"my-project", instance:"my-instance", database:"my-database" add_users_table_sql=%q( CREATE TABLE users ( id INT64 NOT NULL, username STRING(25) NOT NULL, name STRING(45) NOT NULL, email STRING(128), ) PRIMARY KEY(id) ) job=db_admin_client.update_database_ddldatabase:db_path, statements:[add_users_table_sql] job.wait_until_done! database=job.results
Creating clients
In order to read and/or write data, you must create a data client. You can think of a client as a database connection: All of your interactions with Cloud Spanner data 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.
Use Project#client to create a client:
require"google/cloud/spanner" spanner=Google::Cloud::Spanner.new db=spanner.client"my-instance","my-database" results=db.execute"SELECT 1" results.rows.eachdo|row| putsrow end
Writing data
You write data using your client object. The client object supports various mutation operations, as well as combinations of inserts, updates, deletes, etc., that can be applied atomically to different rows and/or tables in a database.
Use Client#commit to execute various mutations atomically at a single logical point in time. All changes are accumulated in memory until the block completes. Unlike Client#transaction , which can also perform reads, this operation accepts only mutations and makes a single API request.
require"google/cloud/spanner" spanner=Google::Cloud::Spanner.new db=spanner.client"my-instance","my-database" db.commitdo|c| c.update"users",[{id:1,username:"charlie94",name:"Charlie"}] c.insert"users",[{id:2,username:"harvey00",name:"Harvey"}] end
Querying data using SQL
Cloud Spanner supports a native SQL interface for reading data that is available through Client#execute :
require"google/cloud/spanner" spanner=Google::Cloud::Spanner.new db=spanner.client"my-instance","my-database" results=db.execute"SELECT * FROM users" results.rows.eachdo|row| puts"User #{row[:id]} is #{row[:name]}" end
Reading data using the read method
In addition to Cloud Spanner's SQL interface, Cloud Spanner also supports a read
interface. Use the Client#read method to
read rows from the database, and use its keys
option to pass unique
identifiers as both lists and ranges:
require"google/cloud/spanner" spanner=Google::Cloud::Spanner.new db=spanner.client"my-instance","my-database" results=db.read"users",[:id,:name],keys:1..5 results.rows.eachdo|row| puts"User #{row[:id]} is #{row[:name]}" end
Using read-write transactions
When an operation might write data depending on values it reads, you should use a read-write transaction to perform the reads and writes atomically.
Suppose that sales of Albums(1, 1)
are lower than expected and you want to
move 200,000ドル from the marketing budget of Albums(2, 2)
to it, but only if the
budget of Albums(2, 2)
is at least 300,000ドル.
Use Client#transaction to execute both reads and writes atomically at a single logical point in time. All changes are accumulated in memory until the block completes. Transactions will be automatically retried when possible. This operation makes separate API requests to begin and commit the transaction.
require"google/cloud/spanner" spanner=Google::Cloud::Spanner.new db=spanner.client"my-instance","my-database" db.transactiondo|tx| # Read the second album budget. second_album_result=tx.read"Albums",["marketing_budget"], keys:[[2,2]],limit:1 second_album_row=second_album_result.rows.first second_album_budget=second_album_row.values.first transfer_amount=200000 ifsecond_album_budget < 300000=""#="" raising="" an="" exception="" will="" automatically="" roll="" back="" the="" transaction.="" raise="" "the="" second="" album="" doesn't="" have="" enough="" funds="" to="" transfer"="" end="" #="" read="" the="" first="" album's="" budget.="" first_album_result="tx.read" "albums",="" ["marketing_budget"],="" keys:="" [[1,="" 1]],="" limit:="" 1="" first_album_row="first_album_result.rows.first" first_album_budget="first_album_row.values.first" #="" update="" the="" budgets.="" second_album_budget="" -="transfer_amount" first_album_budget="" +="transfer_amount" puts="" "setting="" first="" album's="" budget="" to="" #{first_album_budget}="" and="" the="" "="" \="" "second="" album's="" budget="" to="" #{second_album_budget}."="" #="" update="" the="" rows.="" rows="[" {singer_id:="" 1,="" album_id:="" 1,="" marketing_budget:="" first_album_budget},="" {singer_id:="" 2,="" album_id:="" 2,="" marketing_budget:="" second_album_budget}="" ]="" tx.update="" "albums",="" rows="" end="">
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. Because read-only transactions are much faster than locking read-write transactions, we strongly recommend that you do all of your transaction reads in read-only transactions if possible.
Use a Snapshot object to execute statements in a read-only transaction. The snapshot object is available via a block provided to Client#snapshot :
require"google/cloud/spanner" spanner=Google::Cloud::Spanner.new db=spanner.client"my-instance","my-database" db.snapshotdo|snp| results_1=snp.execute"SELECT * FROM users" results_1.rows.eachdo|row| puts"User #{row[:id]} is #{row[:name]}" end # Perform another read using the `read` method. Even if the data # is updated in-between the reads, the snapshot ensures that both # return the same data. results_2=db.read"users",[:id,:name] results_2.rows.eachdo|row| puts"User #{row[:id]} is #{row[:name]}" end end
Deleting databases
Use Client#drop_database to delete a database:
require"google/cloud/spanner" db_admin_client=\ Google::Cloud::Spanner::Admin::Database.database_adminproject_id:"my-project" db_path=db_admin_client.database_pathproject:"my-project", instance:"my-instance", database:"my-database" db_admin_client.drop_databasedatabase:db_path
Deleting instances
When you delete an instance, all databases within it are automatically deleted. (If you only delete databases and not your instance, you will still incur charges for the instance.)
Use Client#delete_instance to delete an instance:
require"google/cloud/spanner" instance_admin_client=\ Google::Cloud::Spanner::Admin::Instance.instance_adminproject_id:"my-project" instance_path=\ instance_admin_client.instance_pathproject:"my-project", instance:"my-instance" instance_admin_client.delete_instancename:instance_path
Additional information
Cloud Spanner can be configured to use gRPC's logging. To learn more, see the Logging guide.