Commit timestamps in PostgreSQL-dialect databases

This page describes how to write a commit timestamp for each insert and update operation that you perform with Spanner in PostgreSQL-dialect databases.

Insert commit timestamps

The commit timestamp, based on TrueTime technology, is the time when a transaction is committed in the database. You can atomically store the commit timestamp of a transaction into a column. Using the commit timestamps stored in tables, you can determine the exact ordering of mutations and build features like changelogs.

To insert commit timestamps in your database, complete the following steps:

  1. Create a column of type SPANNER.COMMIT_TIMESTAMP . For example:

      CREATE 
      
     TABLE 
      
     Performances 
      
     ( 
      
     ... 
      
     LastUpdateTime 
      
     SPANNER 
     . 
     COMMIT_TIMESTAMP 
      
     NOT 
      
     NULL 
     , 
      
     ... 
      
     PRIMARY 
      
     KEY 
      
     (...) 
     ) 
      
     ; 
     
    
  2. If you are performing inserts or updates with DML, use the SPANNER.PENDING_COMMIT_TIMESTAMP() function to write the commit timestamp.

    If you are performing inserts or updates with prepared statements or mutations, use the placeholder string SPANNER.COMMIT_TIMESTAMP() for your commit timestamp column. You can also use the commit timestamp constant provided by the client library. For example, this constant in the Java client is Value.COMMIT_TIMESTAMP .

When Spanner commits the transaction by using these placeholders as column values, the actual commit timestamp is written to the specified column. You can then use this column value to create a history of updates to the table.

Commit timestamp values are not guaranteed to be unique. Transactions that write to non-overlapping sets of fields might have the same timestamp. Transactions that write to overlapping sets of fields have unique timestamps.

Spanner commit timestamps have microsecond granularity, and they are converted to nanoseconds when stored in SPANNER.COMMIT_TIMESTAMP columns.

Keys and indexes

You can use a commit timestamp column as a primary key column or as a non-key column. Primary keys can be defined as ASC or DESC .

  • ASC (default) - Ascending keys are ideal for answering queries from a specific time forward.
  • DESC - Descending keys keep the latest rows at the top of the table. They provide quick access to the latest records.

Avoid hotspots

Using commit timestamps under the following scenarios creates hotspots , which reduce data performance:

  • Commit timestamp column as the first part of the primary key of a table.

     CREATE TABLE Users (
      LastAccess SPANNER.COMMIT_TIMESTAMP NOT NULL,
      UserId     bigint NOT NULL,
      ...
      PRIMARY KEY (LastAccess, UserId)
    ) ; 
    
  • Commit timestamp primary key column as the first part of a secondary index.

     CREATE INDEX UsersByLastAccess ON Users(LastAccess) 
    

    or

     CREATE INDEX UsersByLastAccessAndName ON Users(LastAccess, FirstName) 
    

Hotspots reduce data performance, even with low write rates. There is no performance overhead if commit timestamps are enabled on non-key columns that are not indexed.

Add a commit timestamp column to an existing table

To add a commit timestamp column to an existing table, use the ALTER TABLE statement. For example to add a LastUpdateTime column to the Performances table, use the following statement:

  ALTER 
  
 TABLE 
  
 Performances 
  
 ADD 
  
 COLUMN 
  
 LastUpdateTime 
  
 SPANNER 
 . 
 COMMIT_TIMESTAMP 
 ; 
 

Write a commit timestamp using a DML statement

You use the SPANNER.PENDING_COMMIT_TIMESTAMP() function to write the commit timestamp in a DML statement. Spanner selects the commit timestamp when the transaction commits.

The following DML statement updates the LastUpdateTime column in the Performances table with the commit timestamp:

  UPDATE 
  
 Performances 
  
 SET 
  
 LastUpdateTime 
  
 = 
  
 SPANNER 
 . 
 PENDING_COMMIT_TIMESTAMP 
 () 
  
 WHERE 
  
 SingerId 
 = 
 1 
  
 AND 
  
 VenueId 
 = 
 2 
  
 AND 
  
 EventDate 
 = 
 "2015-10-21" 
 

Insert a row using a mutation

When inserting a row, Spanner writes the commit timestamp value only if you include the column in the column list and pass the spanner.commit_timestamp() placeholder string (or client library constant) as its value. For example:

C++

  void 
  
 InsertDataWithTimestamp 
 ( 
 google 
 :: 
 cloud 
 :: 
 spanner 
 :: 
 Client 
  
 client 
 ) 
  
 { 
  
 namespace 
  
 spanner 
  
 = 
  
 :: 
 google 
 :: 
 cloud 
 :: 
 spanner 
 ; 
  
 auto 
  
 commit_result 
  
 = 
  
 client 
 . 
 Commit 
 ( 
 spanner 
 :: 
 Mutations 
 { 
  
 spanner 
 :: 
 InsertOrUpdateMutationBuilder 
 ( 
  
 "Performances" 
 , 
  
 { 
 "SingerId" 
 , 
  
 "VenueId" 
 , 
  
 "EventDate" 
 , 
  
 "Revenue" 
 , 
  
 "LastUpdateTime" 
 }) 
  
 . 
 EmplaceRow 
 ( 
 1 
 , 
  
 4 
 , 
  
 absl 
 :: 
 CivilDay 
 ( 
 2017 
 , 
  
 10 
 , 
  
 5 
 ), 
  
 11000 
 , 
  
 spanner 
 :: 
 CommitTimestamp 
 {}) 
  
 . 
 EmplaceRow 
 ( 
 1 
 , 
  
 19 
 , 
  
 absl 
 :: 
 CivilDay 
 ( 
 2017 
 , 
  
 11 
 , 
  
 2 
 ), 
  
 15000 
 , 
  
 spanner 
 :: 
 CommitTimestamp 
 {}) 
  
 . 
 EmplaceRow 
 ( 
 2 
 , 
  
 42 
 , 
  
 absl 
 :: 
 CivilDay 
 ( 
 2017 
 , 
  
 12 
 , 
  
 23 
 ), 
  
 7000 
 , 
  
 spanner 
 :: 
 CommitTimestamp 
 {}) 
  
 . 
 Build 
 ()}); 
  
 if 
  
 ( 
 ! 
 commit_result 
 ) 
  
 throw 
  
 std 
 :: 
 move 
 ( 
 commit_result 
 ). 
 status 
 (); 
  
 std 
 :: 
 cout 
 << 
 "Update was successful [spanner_insert_data_with_timestamp_column] 
 \n 
 " 
 ; 
 } 
 

C#

  using 
  
  Google.Cloud.Spanner.Data 
 
 ; 
 using 
  
 System 
 ; 
 using 
  
 System.Collections.Generic 
 ; 
 using 
  
 System.Linq 
 ; 
 using 
  
 System.Threading.Tasks 
 ; 
 public 
  
 class 
  
 WriteDataWithTimestampAsyncSample 
 { 
  
 public 
  
 class 
  
 Performance 
  
 { 
  
 public 
  
 int 
  
 SingerId 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 public 
  
 int 
  
 VenueId 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 public 
  
 DateTime 
  
 EventDate 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 public 
  
 long 
  
 Revenue 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 } 
  
 public 
  
 async 
  
 Task<int> 
  
 WriteDataWithTimestampAsync 
 ( 
 string 
  
 projectId 
 , 
  
 string 
  
 instanceId 
 , 
  
 string 
  
 databaseId 
 ) 
  
 { 
  
 string 
  
 connectionString 
  
 = 
  
 $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}" 
 ; 
  
 List<Performance> 
  
 performances 
  
 = 
  
 new 
  
 List<Performance> 
  
 { 
  
 new 
  
 Performance 
  
 { 
  
 SingerId 
  
 = 
  
 1 
 , 
  
 VenueId 
  
 = 
  
 4 
 , 
  
 EventDate 
  
 = 
  
 DateTime 
 . 
 Parse 
 ( 
 "2017-10-05" 
 ), 
  
 Revenue 
  
 = 
  
 11000 
  
 }, 
  
 new 
  
 Performance 
  
 { 
  
 SingerId 
  
 = 
  
 1 
 , 
  
 VenueId 
  
 = 
  
 19 
 , 
  
 EventDate 
  
 = 
  
 DateTime 
 . 
 Parse 
 ( 
 "2017-11-02" 
 ), 
  
 Revenue 
  
 = 
  
 15000 
  
 }, 
  
 new 
  
 Performance 
  
 { 
  
 SingerId 
  
 = 
  
 2 
 , 
  
 VenueId 
  
 = 
  
 42 
 , 
  
 EventDate 
  
 = 
  
 DateTime 
 . 
 Parse 
 ( 
 "2017-12-23" 
 ), 
  
 Revenue 
  
 = 
  
 7000 
  
 }, 
  
 }; 
  
 // Create connection to Cloud Spanner. 
  
 using 
  
 var 
  
 connection 
  
 = 
  
 new 
  
  SpannerConnection 
 
 ( 
 connectionString 
 ); 
  
 await 
  
 connection 
 . 
  OpenAsync 
 
 (); 
  
 // Insert rows into the Performances table. 
  
 var 
  
 rowCountAarray 
  
 = 
  
 await 
  
 Task 
 . 
 WhenAll 
 ( 
 performances 
 . 
  Select 
 
 ( 
 performance 
  
 = 
>  
 { 
  
 var 
  
 cmd 
  
 = 
  
 connection 
 . 
  CreateInsertCommand 
 
 ( 
 "Performances" 
 , 
  
 new 
  
  SpannerParameterCollection 
 
  
 { 
  
 { 
  
 "SingerId" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 performance 
 . 
 SingerId 
  
 }, 
  
 { 
  
 "VenueId" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 performance 
 . 
 VenueId 
  
 }, 
  
 { 
  
 "EventDate" 
 , 
  
  SpannerDbType 
 
 . 
  Date 
 
 , 
  
 performance 
 . 
 EventDate 
  
 }, 
  
 { 
  
 "Revenue" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 performance 
 . 
 Revenue 
  
 }, 
  
 { 
  
 "LastUpdateTime" 
 , 
  
  SpannerDbType 
 
 . 
  Timestamp 
 
 , 
  
  SpannerParameter 
 
 . 
  CommitTimestamp 
 
  
 }, 
  
 }); 
  
 return 
  
 cmd 
 . 
 ExecuteNonQueryAsync 
 (); 
  
 })); 
  
 return 
  
 rowCountAarray 
 . 
 Sum 
 (); 
  
 } 
 } 
 

Go

  import 
  
 ( 
  
 "context" 
  
 "cloud.google.com/go/spanner" 
 ) 
 func 
  
 writeWithTimestamp 
 ( 
 db 
  
 string 
 ) 
  
 error 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 spanner 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 db 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 performanceColumns 
  
 := 
  
 [] 
 string 
 { 
 "SingerId" 
 , 
  
 "VenueId" 
 , 
  
 "EventDate" 
 , 
  
 "Revenue" 
 , 
  
 "LastUpdateTime" 
 } 
  
 m 
  
 := 
  
 [] 
 * 
 spanner 
 . 
 Mutation 
 { 
  
 spanner 
 . 
  InsertOrUpdate 
 
 ( 
 "Performances" 
 , 
  
 performanceColumns 
 , 
  
 [] 
 interface 
 {}{ 
 1 
 , 
  
 4 
 , 
  
 "2017-10-05" 
 , 
  
 11000 
 , 
  
 spanner 
 . 
  CommitTimestamp 
 
 }), 
  
 spanner 
 . 
  InsertOrUpdate 
 
 ( 
 "Performances" 
 , 
  
 performanceColumns 
 , 
  
 [] 
 interface 
 {}{ 
 1 
 , 
  
 19 
 , 
  
 "2017-11-02" 
 , 
  
 15000 
 , 
  
 spanner 
 . 
  CommitTimestamp 
 
 }), 
  
 spanner 
 . 
  InsertOrUpdate 
 
 ( 
 "Performances" 
 , 
  
 performanceColumns 
 , 
  
 [] 
 interface 
 {}{ 
 2 
 , 
  
 42 
 , 
  
 "2017-12-23" 
 , 
  
 7000 
 , 
  
 spanner 
 . 
  CommitTimestamp 
 
 }), 
  
 } 
  
 _ 
 , 
  
 err 
  
 = 
  
 client 
 . 
  Apply 
 
 ( 
 ctx 
 , 
  
 m 
 ) 
  
 return 
  
 err 
 } 
 

Java

  static 
  
 final 
  
 List<Performance> 
  
 PERFORMANCES 
  
 = 
  
 Arrays 
 . 
 asList 
 ( 
  
 new 
  
 Performance 
 ( 
 1 
 , 
  
 4 
 , 
  
 "2017-10-05" 
 , 
  
 11000 
 ), 
  
 new 
  
 Performance 
 ( 
 1 
 , 
  
 19 
 , 
  
 "2017-11-02" 
 , 
  
 15000 
 ), 
  
 new 
  
 Performance 
 ( 
 2 
 , 
  
 42 
 , 
  
 "2017-12-23" 
 , 
  
 7000 
 )); 
 static 
  
 void 
  
 writeExampleDataWithTimestamp 
 ( 
 DatabaseClient 
  
 dbClient 
 ) 
  
 { 
  
 List<Mutation> 
  
 mutations 
  
 = 
  
 new 
  
 ArrayList 
<> (); 
  
 for 
  
 ( 
 Performance 
  
 performance 
  
 : 
  
 PERFORMANCES 
 ) 
  
 { 
  
 mutations 
 . 
 add 
 ( 
  
 Mutation 
 . 
 newInsertBuilder 
 ( 
 "Performances" 
 ) 
  
 . 
 set 
 ( 
 "SingerId" 
 ) 
  
 . 
 to 
 ( 
 performance 
 . 
 singerId 
 ) 
  
 . 
 set 
 ( 
 "VenueId" 
 ) 
  
 . 
 to 
 ( 
 performance 
 . 
 venueId 
 ) 
  
 . 
 set 
 ( 
 "EventDate" 
 ) 
  
 . 
 to 
 ( 
 performance 
 . 
 eventDate 
 ) 
  
 . 
 set 
 ( 
 "Revenue" 
 ) 
  
 . 
 to 
 ( 
 performance 
 . 
 revenue 
 ) 
  
 . 
 set 
 ( 
 "LastUpdateTime" 
 ) 
  
 . 
 to 
 ( 
 Value 
 . 
 COMMIT_TIMESTAMP 
 ) 
  
 . 
 build 
 ()); 
  
 } 
  
 dbClient 
 . 
 write 
 ( 
 mutations 
 ); 
 } 
 

Node.js

  // Imports the Google Cloud client library 
 const 
  
 { 
 Spanner 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/spanner 
' 
 ); 
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
 // const projectId = 'my-project-id'; 
 // const instanceId = 'my-instance'; 
 // const databaseId = 'my-database'; 
 // Creates a client 
 const 
  
 spanner 
  
 = 
  
 new 
  
  Spanner 
 
 ({ 
  
 projectId 
 : 
  
 projectId 
 , 
 }); 
 // Gets a reference to a Cloud Spanner instance and database 
 const 
  
 instance 
  
 = 
  
 spanner 
 . 
 instance 
 ( 
 instanceId 
 ); 
 const 
  
 database 
  
 = 
  
 instance 
 . 
 database 
 ( 
 databaseId 
 ); 
 // Instantiate Spanner table objects 
 const 
  
 performancesTable 
  
 = 
  
 database 
 . 
 table 
 ( 
 'Performances' 
 ); 
 const 
  
 data 
  
 = 
  
 [ 
  
 { 
  
 SingerId 
 : 
  
 '1' 
 , 
  
 VenueId 
 : 
  
 '4' 
 , 
  
 EventDate 
 : 
  
 '2017-10-05' 
 , 
  
 Revenue 
 : 
  
 '11000' 
 , 
  
 LastUpdateTime 
 : 
  
 'spanner.commit_timestamp()' 
 , 
  
 }, 
  
 { 
  
 SingerId 
 : 
  
 '1' 
 , 
  
 VenueId 
 : 
  
 '19' 
 , 
  
 EventDate 
 : 
  
 '2017-11-02' 
 , 
  
 Revenue 
 : 
  
 '15000' 
 , 
  
 LastUpdateTime 
 : 
  
 'spanner.commit_timestamp()' 
 , 
  
 }, 
  
 { 
  
 SingerId 
 : 
  
 '2' 
 , 
  
 VenueId 
 : 
  
 '42' 
 , 
  
 EventDate 
 : 
  
 '2017-12-23' 
 , 
  
 Revenue 
 : 
  
 '7000' 
 , 
  
 LastUpdateTime 
 : 
  
 'spanner.commit_timestamp()' 
 , 
  
 }, 
 ]; 
 // Inserts rows into the Singers table 
 // Note: Cloud Spanner interprets Node.js numbers as FLOAT64s, so 
 // they must be converted to strings before being inserted as INT64s 
 try 
  
 { 
  
 await 
  
 performancesTable 
 . 
 insert 
 ( 
 data 
 ); 
  
 console 
 . 
 log 
 ( 
 'Inserted data.' 
 ); 
 } 
  
 catch 
  
 ( 
 err 
 ) 
  
 { 
  
 console 
 . 
 error 
 ( 
 'ERROR:' 
 , 
  
 err 
 ); 
 } 
  
 finally 
  
 { 
  
 // Close the database when finished 
  
 database 
 . 
 close 
 (); 
 } 
 

PHP

  use Google\Cloud\Spanner\SpannerClient; 
 /** 
 * Inserts sample data into a table with a commit timestamp column. 
 * 
 * The database and table must already exist and can be created using 
 * `create_table_with_timestamp_column`. 
 * Example: 
 * ``` 
 * insert_data_with_timestamp_column($instanceId, $databaseId); 
 * ``` 
 * 
 * @param string $instanceId The Spanner instance ID. 
 * @param string $databaseId The Spanner database ID. 
 */ 
 function insert_data_with_timestamp_column(string $instanceId, string $databaseId): void 
 { 
 $spanner = new SpannerClient(); 
 $instance = $spanner->instance($instanceId); 
 $database = $instance->database($databaseId); 
 $operation = $database->transaction(['singleUse' => true]) 
 ->insertBatch('Performances', [ 
 ['SingerId' => 1, 'VenueId' => 4, 'EventDate' => '2017-10-05', 'Revenue' => 11000, 'LastUpdateTime' => $spanner->commitTimestamp()], 
 ['SingerId' => 1, 'VenueId' => 19, 'EventDate' => '2017-11-02', 'Revenue' => 15000, 'LastUpdateTime' => $spanner->commitTimestamp()], 
 ['SingerId' => 2, 'VenueId' => 42, 'EventDate' => '2017-12-23', 'Revenue' => 7000, 'LastUpdateTime' => $spanner->commitTimestamp()], 
 ]) 
 ->commit(); 
 print('Inserted data.' . PHP_EOL); 
 } 
 

Python

  def 
  
 insert_data_with_timestamp 
 ( 
 instance_id 
 , 
 database_id 
 ): 
  
 """Inserts data with a COMMIT_TIMESTAMP field into a table.""" 
 spanner_client 
 = 
 spanner 
 . 
 Client 
 () 
 instance 
 = 
 spanner_client 
 . 
 instance 
 ( 
 instance_id 
 ) 
 database 
 = 
 instance 
 . 
 database 
 ( 
 database_id 
 ) 
 with 
 database 
 . 
 batch 
 () 
 as 
 batch 
 : 
 batch 
 . 
 insert 
 ( 
 table 
 = 
 "Performances" 
 , 
 columns 
 = 
 ( 
 "SingerId" 
 , 
 "VenueId" 
 , 
 "EventDate" 
 , 
 "Revenue" 
 , 
 "LastUpdateTime" 
 ), 
 values 
 = 
 [ 
 ( 
 1 
 , 
 4 
 , 
 "2017-10-05" 
 , 
 11000 
 , 
 spanner 
 . 
 COMMIT_TIMESTAMP 
 ), 
 ( 
 1 
 , 
 19 
 , 
 "2017-11-02" 
 , 
 15000 
 , 
 spanner 
 . 
 COMMIT_TIMESTAMP 
 ), 
 ( 
 2 
 , 
 42 
 , 
 "2017-12-23" 
 , 
 7000 
 , 
 spanner 
 . 
 COMMIT_TIMESTAMP 
 ), 
 ], 
 ) 
 print 
 ( 
 "Inserted data." 
 ) 
 

Ruby

  # 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 
 . 
 new 
  
 project 
 : 
  
 project_id 
 client 
  
 = 
  
 spanner 
 . 
 client 
  
 instance_id 
 , 
  
 database_id 
 # Get commit_timestamp 
 commit_timestamp 
  
 = 
  
 client 
 . 
 commit_timestamp 
 client 
 . 
 commit 
  
 do 
  
 | 
 c 
 | 
  
 c 
 . 
 insert 
  
 "Performances" 
 , 
  
 [ 
  
 { 
  
 SingerId 
 : 
  
 1 
 , 
  
 VenueId 
 : 
  
 4 
 , 
  
 EventDate 
 : 
  
 "2017-10-05" 
 , 
  
 Revenue 
 : 
  
 11_000 
 , 
  
 LastUpdateTime 
 : 
  
 commit_timestamp 
  
 }, 
  
 { 
  
 SingerId 
 : 
  
 1 
 , 
  
 VenueId 
 : 
  
 19 
 , 
  
 EventDate 
 : 
  
 "2017-11-02" 
 , 
  
 Revenue 
 : 
  
 15_000 
 , 
  
 LastUpdateTime 
 : 
  
 commit_timestamp 
  
 }, 
  
 { 
  
 SingerId 
 : 
  
 2 
 , 
  
 VenueId 
 : 
  
 42 
 , 
  
 EventDate 
 : 
  
 "2017-12-23" 
 , 
  
 Revenue 
 : 
  
 7000 
 , 
  
 LastUpdateTime 
 : 
  
 commit_timestamp 
  
 } 
  
 ] 
 end 
 puts 
  
 "Inserted data" 
 

If you have mutations on rows in multiple tables, you must specify spanner.commit_timestamp() (or client library constant) for the commit timestamp column in each table.

Update a row using a mutation

When updating a row, Spanner writes the commit timestamp value only if you include the column in the column list and pass the spanner.commit_timestamp() placeholder string (or client library constant) as its value. You cannot update the primary key of a row. To update the primary key, delete the existing row and create a new row.

For example, to update a commit timestamp column named LastUpdateTime :

C++

  void 
  
 UpdateDataWithTimestamp 
 ( 
 google 
 :: 
 cloud 
 :: 
 spanner 
 :: 
 Client 
  
 client 
 ) 
  
 { 
  
 namespace 
  
 spanner 
  
 = 
  
 :: 
 google 
 :: 
 cloud 
 :: 
 spanner 
 ; 
  
 auto 
  
 commit_result 
  
 = 
  
 client 
 . 
 Commit 
 ( 
 spanner 
 :: 
 Mutations 
 { 
  
 spanner 
 :: 
 UpdateMutationBuilder 
 ( 
  
 "Albums" 
 , 
  
 { 
 "SingerId" 
 , 
  
 "AlbumId" 
 , 
  
 "MarketingBudget" 
 , 
  
 "LastUpdateTime" 
 }) 
  
 . 
 EmplaceRow 
 ( 
 1 
 , 
  
 1 
 , 
  
 1000000 
 , 
  
 spanner 
 :: 
 CommitTimestamp 
 {}) 
  
 . 
 EmplaceRow 
 ( 
 2 
 , 
  
 2 
 , 
  
 750000 
 , 
  
 spanner 
 :: 
 CommitTimestamp 
 {}) 
  
 . 
 Build 
 ()}); 
  
 if 
  
 ( 
 ! 
 commit_result 
 ) 
  
 throw 
  
 std 
 :: 
 move 
 ( 
 commit_result 
 ). 
 status 
 (); 
  
 std 
 :: 
 cout 
 << 
 "Update was successful [spanner_update_data_with_timestamp_column] 
 \n 
 " 
 ; 
 } 
 

C#

  using 
  
  Google.Cloud.Spanner.Data 
 
 ; 
 using 
  
 System 
 ; 
 using 
  
 System.Threading.Tasks 
 ; 
 public 
  
 class 
  
 UpdateDataWithTimestampColumnAsyncSample 
 { 
  
 public 
  
 async 
  
 Task<int> 
  
 UpdateDataWithTimestampColumnAsync 
 ( 
 string 
  
 projectId 
 , 
  
 string 
  
 instanceId 
 , 
  
 string 
  
 databaseId 
 ) 
  
 { 
  
 string 
  
 connectionString 
  
 = 
  
 $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}" 
 ; 
  
 using 
  
 var 
  
 connection 
  
 = 
  
 new 
  
  SpannerConnection 
 
 ( 
 connectionString 
 ); 
  
 var 
  
 rowCount 
  
 = 
  
 0 
 ; 
  
 using 
  
 var 
  
 updateCmd1 
  
 = 
  
 connection 
 . 
  CreateUpdateCommand 
 
 ( 
 "Albums" 
 , 
  
 new 
  
  SpannerParameterCollection 
 
  
 { 
  
 { 
  
 "SingerId" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 1 
  
 }, 
  
 { 
  
 "AlbumId" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 1 
  
 }, 
  
 { 
  
 "MarketingBudget" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 1000000 
  
 }, 
  
 { 
  
 "LastUpdateTime" 
 , 
  
  SpannerDbType 
 
 . 
  Timestamp 
 
 , 
  
  SpannerParameter 
 
 . 
  CommitTimestamp 
 
  
 }, 
  
 }); 
  
 rowCount 
  
 += 
  
 await 
  
 updateCmd1 
 . 
 ExecuteNonQueryAsync 
 (); 
  
 using 
  
 var 
  
 updateCmd2 
  
 = 
  
 connection 
 . 
  CreateUpdateCommand 
 
 ( 
 "Albums" 
 , 
  
 new 
  
  SpannerParameterCollection 
 
  
 { 
  
 { 
  
 "SingerId" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 2 
  
 }, 
  
 { 
  
 "AlbumId" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 2 
  
 }, 
  
 { 
  
 "MarketingBudget" 
 , 
  
  SpannerDbType 
 
 . 
  Int64 
 
 , 
  
 750000 
  
 }, 
  
 { 
  
 "LastUpdateTime" 
 , 
  
  SpannerDbType 
 
 . 
  Timestamp 
 
 , 
  
  SpannerParameter 
 
 . 
  CommitTimestamp 
 
  
 }, 
  
 }); 
  
 rowCount 
  
 += 
  
 await 
  
 updateCmd2 
 . 
 ExecuteNonQueryAsync 
 (); 
  
 Console 
 . 
 WriteLine 
 ( 
 "Updated data." 
 ); 
  
 return 
  
 rowCount 
 ; 
  
 } 
 } 
 

Go

  import 
  
 ( 
  
 "context" 
  
 "io" 
  
 "cloud.google.com/go/spanner" 
 ) 
 func 
  
 updateWithTimestamp 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 db 
  
 string 
 ) 
  
 error 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 spanner 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 db 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 cols 
  
 := 
  
 [] 
 string 
 { 
 "SingerId" 
 , 
  
 "AlbumId" 
 , 
  
 "MarketingBudget" 
 , 
  
 "LastUpdateTime" 
 } 
  
 _ 
 , 
  
 err 
  
 = 
  
 client 
 . 
  Apply 
 
 ( 
 ctx 
 , 
  
 [] 
 * 
 spanner 
 . 
 Mutation 
 { 
  
 spanner 
 . 
 Update 
 ( 
 "Albums" 
 , 
  
 cols 
 , 
  
 [] 
 interface 
 {}{ 
 1 
 , 
  
 1 
 , 
  
 1000000 
 , 
  
 spanner 
 . 
  CommitTimestamp 
 
 }), 
  
 spanner 
 . 
 Update 
 ( 
 "Albums" 
 , 
  
 cols 
 , 
  
 [] 
 interface 
 {}{ 
 2 
 , 
  
 2 
 , 
  
 750000 
 , 
  
 spanner 
 . 
  CommitTimestamp 
 
 }), 
  
 }) 
  
 return 
  
 err 
 } 
 

Java

  static 
  
 void 
  
 updateWithTimestamp 
 ( 
 DatabaseClient 
  
 dbClient 
 ) 
  
 { 
  
 // Mutation can be used to update/insert/delete a single row in a table. Here we use 
  
 // newUpdateBuilder to create update mutations. 
  
 List<Mutation> 
  
 mutations 
  
 = 
  
 Arrays 
 . 
 asList 
 ( 
  
 Mutation 
 . 
 newUpdateBuilder 
 ( 
 "Albums" 
 ) 
  
 . 
 set 
 ( 
 "SingerId" 
 ) 
  
 . 
 to 
 ( 
 1 
 ) 
  
 . 
 set 
 ( 
 "AlbumId" 
 ) 
  
 . 
 to 
 ( 
 1 
 ) 
  
 . 
 set 
 ( 
 "MarketingBudget" 
 ) 
  
 . 
 to 
 ( 
 1000000 
 ) 
  
 . 
 set 
 ( 
 "LastUpdateTime" 
 ) 
  
 . 
 to 
 ( 
 Value 
 . 
 COMMIT_TIMESTAMP 
 ) 
  
 . 
 build 
 (), 
  
 Mutation 
 . 
 newUpdateBuilder 
 ( 
 "Albums" 
 ) 
  
 . 
 set 
 ( 
 "SingerId" 
 ) 
  
 . 
 to 
 ( 
 2 
 ) 
  
 . 
 set 
 ( 
 "AlbumId" 
 ) 
  
 . 
 to 
 ( 
 2 
 ) 
  
 . 
 set 
 ( 
 "MarketingBudget" 
 ) 
  
 . 
 to 
 ( 
 750000 
 ) 
  
 . 
 set 
 ( 
 "LastUpdateTime" 
 ) 
  
 . 
 to 
 ( 
 Value 
 . 
 COMMIT_TIMESTAMP 
 ) 
  
 . 
 build 
 ()); 
  
 // This writes all the mutations to Cloud Spanner atomically. 
  
 dbClient 
 . 
 write 
 ( 
 mutations 
 ); 
 } 
 

Node.js

  // ... 
 // Imports the Google Cloud client library 
 const 
  
 { 
 Spanner 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/spanner 
' 
 ); 
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
 // const projectId = 'my-project-id'; 
 // const instanceId = 'my-instance'; 
 // const databaseId = 'my-database'; 
 // Creates a client 
 const 
  
 spanner 
  
 = 
  
 new 
  
  Spanner 
 
 ({ 
  
 projectId 
 : 
  
 projectId 
 , 
 }); 
 // Gets a reference to a Cloud Spanner instance and database 
 const 
  
 instance 
  
 = 
  
 spanner 
 . 
 instance 
 ( 
 instanceId 
 ); 
 const 
  
 database 
  
 = 
  
 instance 
 . 
 database 
 ( 
 databaseId 
 ); 
 // Update a row in the Albums table 
 // Note: Cloud Spanner interprets Node.js numbers as FLOAT64s, so they 
 // must be converted to strings before being inserted as INT64s 
 const 
  
 albumsTable 
  
 = 
  
 database 
 . 
 table 
 ( 
 'Albums' 
 ); 
 const 
  
 data 
  
 = 
  
 [ 
  
 { 
  
 SingerId 
 : 
  
 '1' 
 , 
  
 AlbumId 
 : 
  
 '1' 
 , 
  
 MarketingBudget 
 : 
  
 '1000000' 
 , 
  
 LastUpdateTime 
 : 
  
 'spanner.commit_timestamp()' 
 , 
  
 }, 
  
 { 
  
 SingerId 
 : 
  
 '2' 
 , 
  
 AlbumId 
 : 
  
 '2' 
 , 
  
 MarketingBudget 
 : 
  
 '750000' 
 , 
  
 LastUpdateTime 
 : 
  
 'spanner.commit_timestamp()' 
 , 
  
 }, 
 ]; 
 try 
  
 { 
  
 await 
  
 albumsTable 
 . 
 update 
 ( 
 data 
 ); 
  
 console 
 . 
 log 
 ( 
 'Updated data.' 
 ); 
 } 
  
 catch 
  
 ( 
 err 
 ) 
  
 { 
  
 console 
 . 
 error 
 ( 
 'ERROR:' 
 , 
  
 err 
 ); 
 } 
  
 finally 
  
 { 
  
 // Close the database when finished 
  
 database 
 . 
 close 
 (); 
 } 
 

PHP

  use Google\Cloud\Spanner\SpannerClient; 
 /** 
 * Updates sample data in a table with a commit timestamp column. 
 * 
 * Before executing this method, a new column MarketingBudget has to be added to the Albums 
 * table by applying the DDL statement "ALTER TABLE Albums ADD COLUMN MarketingBudget INT64". 
 * 
 * In addition this update expects the LastUpdateTime column added by applying the DDL statement 
 * "ALTER TABLE Albums ADD COLUMN LastUpdateTime TIMESTAMP OPTIONS (allow_commit_timestamp=true)" 
 * 
 * Example: 
 * ``` 
 * update_data_with_timestamp_column($instanceId, $databaseId); 
 * ``` 
 * 
 * @param string $instanceId The Spanner instance ID. 
 * @param string $databaseId The Spanner database ID. 
 */ 
 function update_data_with_timestamp_column(string $instanceId, string $databaseId): void 
 { 
 $spanner = new SpannerClient(); 
 $instance = $spanner->instance($instanceId); 
 $database = $instance->database($databaseId); 
 $operation = $database->transaction(['singleUse' => true]) 
 ->updateBatch('Albums', [ 
 ['SingerId' => 1, 'AlbumId' => 1, 'MarketingBudget' => 1000000, 'LastUpdateTime' => $spanner->commitTimestamp()], 
 ['SingerId' => 2, 'AlbumId' => 2, 'MarketingBudget' => 750000, 'LastUpdateTime' => $spanner->commitTimestamp()], 
 ]) 
 ->commit(); 
 print('Updated data.' . PHP_EOL); 
 } 
 

Python

  def 
  
 update_data_with_timestamp 
 ( 
 instance_id 
 , 
 database_id 
 ): 
  
 """Updates Performances tables in the database with the COMMIT_TIMESTAMP 
 column. 
 This updates the `MarketingBudget` column which must be created before 
 running this sample. You can add the column by running the `add_column` 
 sample or by running this DDL statement against your database: 
 ALTER TABLE Albums ADD COLUMN MarketingBudget INT64 
 In addition this update expects the LastUpdateTime column added by 
 applying this DDL statement against your database: 
 ALTER TABLE Albums ADD COLUMN LastUpdateTime TIMESTAMP 
 OPTIONS(allow_commit_timestamp=true) 
 """ 
 spanner_client 
 = 
 spanner 
 . 
 Client 
 () 
 instance 
 = 
 spanner_client 
 . 
 instance 
 ( 
 instance_id 
 ) 
 database 
 = 
 instance 
 . 
 database 
 ( 
 database_id 
 ) 
 with 
 database 
 . 
 batch 
 () 
 as 
 batch 
 : 
 batch 
 . 
 update 
 ( 
 table 
 = 
 "Albums" 
 , 
 columns 
 = 
 ( 
 "SingerId" 
 , 
 "AlbumId" 
 , 
 "MarketingBudget" 
 , 
 "LastUpdateTime" 
 ), 
 values 
 = 
 [ 
 ( 
 1 
 , 
 1 
 , 
 1000000 
 , 
 spanner 
 . 
 COMMIT_TIMESTAMP 
 ), 
 ( 
 2 
 , 
 2 
 , 
 750000 
 , 
 spanner 
 . 
 COMMIT_TIMESTAMP 
 ), 
 ], 
 ) 
 print 
 ( 
 "Updated data." 
 ) 
 

Ruby

  # 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 
 . 
 new 
  
 project 
 : 
  
 project_id 
 client 
  
 = 
  
 spanner 
 . 
 client 
  
 instance_id 
 , 
  
 database_id 
 commit_timestamp 
  
 = 
  
 client 
 . 
 commit_timestamp 
 client 
 . 
 commit 
  
 do 
  
 | 
 c 
 | 
  
 c 
 . 
 update 
  
 "Albums" 
 , 
  
 [ 
  
 { 
  
 SingerId 
 : 
  
 1 
 , 
  
 AlbumId 
 : 
  
 1 
 , 
  
 MarketingBudget 
 : 
  
 100_000 
 , 
  
 LastUpdateTime 
 : 
  
 commit_timestamp 
  
 }, 
  
 { 
  
 SingerId 
 : 
  
 2 
 , 
  
 AlbumId 
 : 
  
 2 
 , 
  
 MarketingBudget 
 : 
  
 750_000 
 , 
  
 LastUpdateTime 
 : 
  
 commit_timestamp 
  
 } 
  
 ] 
 end 
 puts 
  
 "Updated data" 
 

If you have mutations on rows in multiple tables, you must specify spanner.commit_timestamp() (or the client library constant) for the commit timestamp column in each table.

Query a commit timestamp column

The following example queries the commit timestamp column of the table.

C++

  void 
  
 QueryDataWithTimestamp 
 ( 
 google 
 :: 
 cloud 
 :: 
 spanner 
 :: 
 Client 
  
 client 
 ) 
  
 { 
  
 namespace 
  
 spanner 
  
 = 
  
 :: 
 google 
 :: 
 cloud 
 :: 
 spanner 
 ; 
  
 spanner 
 :: 
 SqlStatement 
  
 select 
 ( 
  
 "SELECT SingerId, AlbumId, MarketingBudget, LastUpdateTime" 
  
 "  FROM Albums" 
  
 " ORDER BY LastUpdateTime DESC" 
 ); 
  
 using 
  
 RowType 
  
 = 
  
 std 
 :: 
 tuple<std 
 :: 
 int64_t 
 , 
  
 std 
 :: 
 int64_t 
 , 
  
 absl 
 :: 
 optional<std 
 :: 
 int64_t 
> , 
  
 absl 
 :: 
 optional<spanner 
 :: 
 Timestamp 
>> ; 
  
 auto 
  
 rows 
  
 = 
  
 client 
 . 
 ExecuteQuery 
 ( 
 std 
 :: 
 move 
 ( 
 select 
 )); 
  
 for 
  
 ( 
 auto 
&  
 row 
  
 : 
  
 spanner 
 :: 
 StreamOf<RowType> 
 ( 
 rows 
 )) 
  
 { 
  
 if 
  
 ( 
 ! 
 row 
 ) 
  
 throw 
  
 std 
 :: 
 move 
 ( 
 row 
 ). 
 status 
 (); 
  
 std 
 :: 
 cout 
 << 
 std 
 :: 
 get<0> 
 ( 
 * 
 row 
 ) 
 << 
 " " 
 << 
 std 
 :: 
 get<1> 
 ( 
 * 
 row 
 ); 
  
 auto 
  
 marketing_budget 
  
 = 
  
 std 
 :: 
 get<2> 
 ( 
 * 
 row 
 ); 
  
 if 
  
 ( 
 ! 
 marketing_budget 
 ) 
  
 { 
  
 std 
 :: 
 cout 
 << 
 " NULL" 
 ; 
  
 } 
  
 else 
  
 { 
  
 std 
 :: 
 cout 
 << 
 ' ' 
 << 
 * 
 marketing_budget 
 ; 
  
 } 
  
 auto 
  
 last_update_time 
  
 = 
  
 std 
 :: 
 get<3> 
 ( 
 * 
 row 
 ); 
  
 if 
  
 ( 
 ! 
 last_update_time 
 ) 
  
 { 
  
 std 
 :: 
 cout 
 << 
 " NULL" 
 ; 
  
 } 
  
 else 
  
 { 
  
 std 
 :: 
 cout 
 << 
 ' ' 
 << 
 * 
 last_update_time 
 ; 
  
 } 
  
 std 
 :: 
 cout 
 << 
 " 
 \n 
 " 
 ; 
  
 } 
 } 
 

C#

  using 
  
  Google.Cloud.Spanner.Data 
 
 ; 
 using 
  
 System 
 ; 
 using 
  
 System.Collections.Generic 
 ; 
 using 
  
 System.Threading.Tasks 
 ; 
 public 
  
 class 
  
 QueryDataWithTimestampColumnAsyncSample 
 { 
  
 public 
  
 class 
  
 Album 
  
 { 
  
 public 
  
 int 
  
 SingerId 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 public 
  
 int 
  
 AlbumId 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 public 
  
 DateTime 
 ? 
  
 LastUpdateTime 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 public 
  
 long? 
  
 MarketingBudget 
  
 { 
  
 get 
 ; 
  
 set 
 ; 
  
 } 
  
 } 
  
 public 
  
 async 
  
 Task<List<Album> 
>  
 QueryDataWithTimestampColumnAsync 
 ( 
 string 
  
 projectId 
 , 
  
 string 
  
 instanceId 
 , 
  
 string 
  
 databaseId 
 ) 
  
 { 
  
 string 
  
 connectionString 
  
 = 
  
 $"Data Source=projects/{projectId}/instances/{instanceId}/databases/{databaseId}" 
 ; 
  
 using 
  
 var 
  
 connection 
  
 = 
  
 new 
  
  SpannerConnection 
 
 ( 
 connectionString 
 ); 
  
 using 
  
 var 
  
 cmd 
  
 = 
  
 connection 
 . 
  CreateSelectCommand 
 
 ( 
 "SELECT SingerId, AlbumId, MarketingBudget, LastUpdateTime FROM Albums ORDER BY LastUpdateTime DESC" 
 ); 
  
 var 
  
 albums 
  
 = 
  
 new 
  
 List<Album> 
 (); 
  
 using 
  
 var 
  
 reader 
  
 = 
  
 await 
  
 cmd 
 . 
  ExecuteReaderAsync 
 
 (); 
  
 while 
  
 ( 
 await 
  
 reader 
 . 
  ReadAsync 
 
 ()) 
  
 { 
  
 albums 
 . 
 Add 
 ( 
 new 
  
 Album 
  
 { 
  
 SingerId 
  
 = 
  
 reader 
 . 
 GetFieldValue<int> 
 ( 
 "SingerId" 
 ), 
  
 AlbumId 
  
 = 
  
 reader 
 . 
 GetFieldValue<int> 
 ( 
 "AlbumId" 
 ), 
  
 LastUpdateTime 
  
 = 
  
 reader 
 . 
  IsDBNull 
 
 ( 
 reader 
 . 
  GetOrdinal 
 
 ( 
 "LastUpdateTime" 
 )) 
  
 ? 
  
 ( 
 DateTime 
 ? 
 ) 
 null 
  
 : 
  
 reader 
 . 
 GetFieldValue<DateTime> 
 ( 
 "LastUpdateTime" 
 ), 
  
 MarketingBudget 
  
 = 
  
 reader 
 . 
  IsDBNull 
 
 ( 
 reader 
 . 
  GetOrdinal 
 
 ( 
 "MarketingBudget" 
 )) 
  
 ? 
  
 0 
  
 : 
  
 reader 
 . 
 GetFieldValue<long> 
 ( 
 "MarketingBudget" 
 ) 
  
 }); 
  
 } 
  
 return 
  
 albums 
 ; 
  
 } 
 } 
 

Go

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 "strconv" 
  
 "cloud.google.com/go/spanner" 
  
 "google.golang.org/api/iterator" 
 ) 
 func 
  
 queryWithTimestamp 
 ( 
 w 
  
 io 
 . 
 Writer 
 , 
  
 db 
  
 string 
 ) 
  
 error 
  
 { 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 spanner 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 db 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 stmt 
  
 := 
  
 spanner 
 . 
  Statement 
 
 { 
  
 SQL 
 : 
  
 `SELECT SingerId, AlbumId, MarketingBudget, LastUpdateTime 
 FROM Albums ORDER BY LastUpdateTime DESC` 
 } 
  
 iter 
  
 := 
  
 client 
 . 
  Single 
 
 (). 
 Query 
 ( 
 ctx 
 , 
  
 stmt 
 ) 
  
 defer 
  
 iter 
 . 
 Stop 
 () 
  
 for 
  
 { 
  
 row 
 , 
  
 err 
  
 := 
  
 iter 
 . 
 Next 
 () 
  
 if 
  
 err 
  
 == 
  
 iterator 
 . 
 Done 
  
 { 
  
 return 
  
 nil 
  
 } 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 var 
  
 singerID 
 , 
  
 albumID 
  
 int64 
  
 var 
  
 marketingBudget 
  
 spanner 
 . 
  NullInt64 
 
  
 var 
  
 lastUpdateTime 
  
 spanner 
 . 
  NullTime 
 
  
 if 
  
 err 
  
 := 
  
 row 
 . 
  ColumnByName 
 
 ( 
 "SingerId" 
 , 
  
& singerID 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 if 
  
 err 
  
 := 
  
 row 
 . 
  ColumnByName 
 
 ( 
 "AlbumId" 
 , 
  
& albumID 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 if 
  
 err 
  
 := 
  
 row 
 . 
  ColumnByName 
 
 ( 
 "MarketingBudget" 
 , 
  
& marketingBudget 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 budget 
  
 := 
  
 "NULL" 
  
 if 
  
 marketingBudget 
 . 
 Valid 
  
 { 
  
 budget 
  
 = 
  
 strconv 
 . 
 FormatInt 
 ( 
 marketingBudget 
 . 
  Int64 
 
 , 
  
 10 
 ) 
  
 } 
  
 if 
  
 err 
  
 := 
  
 row 
 . 
  ColumnByName 
 
 ( 
 "LastUpdateTime" 
 , 
  
& lastUpdateTime 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 timestamp 
  
 := 
  
 "NULL" 
  
 if 
  
 lastUpdateTime 
 . 
 Valid 
  
 { 
  
 timestamp 
  
 = 
  
 lastUpdateTime 
 . 
 String 
 () 
  
 } 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "%d %d %s %s\n" 
 , 
  
 singerID 
 , 
  
 albumID 
 , 
  
 budget 
 , 
  
 timestamp 
 ) 
  
 } 
 } 
 

Java

  static 
  
 void 
  
 queryMarketingBudgetWithTimestamp 
 ( 
 DatabaseClient 
  
 dbClient 
 ) 
  
 { 
  
 // Rows without an explicit value for MarketingBudget will have a MarketingBudget equal to 
  
 // null. A try-with-resource block is used to automatically release resources held by 
  
 // ResultSet. 
  
 try 
  
 ( 
 ResultSet 
  
 resultSet 
  
 = 
  
 dbClient 
  
 . 
 singleUse 
 () 
  
 . 
 executeQuery 
 ( 
  
 Statement 
 . 
 of 
 ( 
  
 "SELECT SingerId, AlbumId, MarketingBudget, LastUpdateTime FROM Albums" 
  
 + 
  
 " ORDER BY LastUpdateTime DESC" 
 ))) 
  
 { 
  
 while 
  
 ( 
 resultSet 
 . 
 next 
 ()) 
  
 { 
  
 System 
 . 
 out 
 . 
 printf 
 ( 
  
 "%d %d %s %s\n" 
 , 
  
 resultSet 
 . 
 getLong 
 ( 
 "SingerId" 
 ), 
  
 resultSet 
 . 
 getLong 
 ( 
 "AlbumId" 
 ), 
  
 // We check that the value is non null. ResultSet getters can only be used to retrieve 
  
 // non null values. 
  
 resultSet 
 . 
 isNull 
 ( 
 "MarketingBudget" 
 ) 
  
 ? 
  
 "NULL" 
  
 : 
  
 resultSet 
 . 
 getLong 
 ( 
 "MarketingBudget" 
 ), 
  
 resultSet 
 . 
 isNull 
 ( 
 "LastUpdateTime" 
 ) 
  
 ? 
  
 "NULL" 
  
 : 
  
 resultSet 
 . 
 getTimestamp 
 ( 
 "LastUpdateTime" 
 )); 
  
 } 
  
 } 
 } 
 

Node.js

  // ... 
 // Imports the Google Cloud client library 
 const 
  
 { 
 Spanner 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/spanner 
' 
 ); 
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
 // const projectId = 'my-project-id'; 
 // const instanceId = 'my-instance'; 
 // const databaseId = 'my-database'; 
 // Creates a client 
 const 
  
 spanner 
  
 = 
  
 new 
  
  Spanner 
 
 ({ 
  
 projectId 
 : 
  
 projectId 
 , 
 }); 
 // Gets a reference to a Cloud Spanner instance and database 
 const 
  
 instance 
  
 = 
  
 spanner 
 . 
 instance 
 ( 
 instanceId 
 ); 
 const 
  
 database 
  
 = 
  
 instance 
 . 
 database 
 ( 
 databaseId 
 ); 
 const 
  
 query 
  
 = 
  
 { 
  
 sql 
 : 
  
 `SELECT SingerId, AlbumId, MarketingBudget, LastUpdateTime 
 FROM Albums ORDER BY LastUpdateTime DESC` 
 , 
 }; 
 // Queries rows from the Albums table 
 try 
  
 { 
  
 const 
  
 [ 
 rows 
 ] 
  
 = 
  
 await 
  
 database 
 . 
 run 
 ( 
 query 
 ); 
  
 rows 
 . 
 forEach 
 ( 
 row 
  
 = 
>  
 { 
  
 const 
  
 json 
  
 = 
  
 row 
 . 
 toJSON 
 (); 
  
 console 
 . 
 log 
 ( 
  
 `SingerId: 
 ${ 
 json 
 . 
 SingerId 
 } 
 , AlbumId: 
 ${ 
  
 json 
 . 
 AlbumId 
  
 } 
 , MarketingBudget: 
 ${ 
  
 json 
 . 
 MarketingBudget 
  
 ? 
  
 json 
 . 
 MarketingBudget 
  
 : 
  
 null 
  
 } 
 , LastUpdateTime: 
 ${ 
 json 
 . 
 LastUpdateTime 
 } 
 ` 
 , 
  
 ); 
  
 }); 
 } 
  
 catch 
  
 ( 
 err 
 ) 
  
 { 
  
 console 
 . 
 error 
 ( 
 'ERROR:' 
 , 
  
 err 
 ); 
 } 
  
 finally 
  
 { 
  
 // Close the database when finished 
  
 database 
 . 
 close 
 (); 
 } 
 

PHP

  use Google\Cloud\Spanner\SpannerClient; 
 /** 
 * Queries sample data from a database with a commit timestamp column. 
 * 
 * This sample uses the `MarketingBudget` column. You can add the column 
 * by running the `add_column` sample or by running this DDL statement against 
 * your database: 
 * 
 *      ALTER TABLE Albums ADD COLUMN MarketingBudget INT64 
 * 
 * This sample also uses the 'LastUpdateTime' commit timestamp column. You can 
 * add the column by running the `add_timestamp_column` sample or by running 
 * this DDL statement against your database: 
 * 
 * 		ALTER TABLE Albums ADD COLUMN LastUpdateTime TIMESTAMP OPTIONS (allow_commit_timestamp=true) 
 * 
 * Example: 
 * ``` 
 * query_data_with_timestamp_column($instanceId, $databaseId); 
 * ``` 
 * 
 * @param string $instanceId The Spanner instance ID. 
 * @param string $databaseId The Spanner database ID. 
 */ 
 function query_data_with_timestamp_column(string $instanceId, string $databaseId): void 
 { 
 $spanner = new SpannerClient(); 
 $instance = $spanner->instance($instanceId); 
 $database = $instance->database($databaseId); 
 $results = $database->execute( 
 'SELECT SingerId, AlbumId, MarketingBudget, LastUpdateTime ' . 
 ' FROM Albums ORDER BY LastUpdateTime DESC' 
 ); 
 foreach ($results as $row) { 
 if ($row['MarketingBudget'] == null) { 
 $row['MarketingBudget'] = 'NULL'; 
 } 
 if ($row['LastUpdateTime'] == null) { 
 $row['LastUpdateTime'] = 'NULL'; 
 } 
 printf('SingerId: %s, AlbumId: %s, MarketingBudget: %s, LastUpdateTime: %s' . PHP_EOL, 
 $row['SingerId'], $row['AlbumId'], $row['MarketingBudget'], $row['LastUpdateTime']); 
 } 
 } 
 

Python

  def 
  
 query_data_with_timestamp 
 ( 
 instance_id 
 , 
 database_id 
 ): 
  
 """Queries sample data from the database using SQL. 
 This updates the `LastUpdateTime` column which must be created before 
 running this sample. You can add the column by running the 
 `add_timestamp_column` sample or by running this DDL statement 
 against your database: 
 ALTER TABLE Performances ADD COLUMN LastUpdateTime TIMESTAMP 
 OPTIONS (allow_commit_timestamp=true) 
 """ 
 spanner_client 
 = 
 spanner 
 . 
 Client 
 () 
 instance 
 = 
 spanner_client 
 . 
 instance 
 ( 
 instance_id 
 ) 
 database 
 = 
 instance 
 . 
 database 
 ( 
 database_id 
 ) 
 with 
 database 
 . 
 snapshot 
 () 
 as 
 snapshot 
 : 
 results 
 = 
 snapshot 
 . 
 execute_sql 
 ( 
 "SELECT SingerId, AlbumId, MarketingBudget FROM Albums " 
 "ORDER BY LastUpdateTime DESC" 
 ) 
 for 
 row 
 in 
 results 
 : 
 print 
 ( 
 "SingerId: 
 {} 
 , AlbumId: 
 {} 
 , MarketingBudget: 
 {} 
 " 
 . 
 format 
 ( 
 * 
 row 
 )) 
 

Ruby

  # 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 
 . 
 new 
  
 project 
 : 
  
 project_id 
 client 
  
 = 
  
 spanner 
 . 
 client 
  
 instance_id 
 , 
  
 database_id 
 client 
 . 
 execute 
 ( 
 "SELECT SingerId, AlbumId, MarketingBudget, LastUpdateTime 
 FROM Albums ORDER BY LastUpdateTime DESC" 
 ) 
 . 
 rows 
 . 
 each 
  
 do 
  
 | 
 row 
 | 
  
 puts 
  
 " 
 #{ 
 row 
 [ 
 :SingerId 
 ] 
 } 
  
 #{ 
 row 
 [ 
 :AlbumId 
 ] 
 } 
  
 #{ 
 row 
 [ 
 :MarketingBudget 
 ] 
 } 
  
 #{ 
 row 
 [ 
 :LastUpdateTime 
 ] 
 } 
 " 
 end 
 

Provide your own value for the commit timestamp column

In your code, you can provide your own value for the commit timestamp column instead of passing spanner.commit_timestamp() (or the available client library constant) as the column value. The value must be a timestamp in the past. This restriction ensures that writing timestamps is an inexpensive and fast operation. One way to confirm that a value is in the past is to compare it to the value returned by the CURRENT_TIMESTAMP SQL function. The server returns a FailedPrecondition error if a future timestamp is specified.

Create a changelog

Suppose that you want to create a changelog of every mutation that happens to a table and then use that changelog for auditing. An example would be a table that stores the history of changes to word processing documents. The commit timestamp makes creating the changelog easier, because the timestamps can enforce ordering of the changelog entries. You could build a changelog that stores the history of changes to a given document using a schema like the following example:

  CREATE 
  
 TABLE 
  
 Documents 
  
 ( 
  
 UserId 
  
 int8 
  
 NOT 
  
 NULL 
 , 
  
 DocumentId 
  
 int8 
  
 NOT 
  
 NULL 
 , 
  
 Contents 
  
 text 
  
 NOT 
  
 NULL 
 , 
  
 PRIMARY 
  
 KEY 
  
 ( 
 UserId 
 , 
  
 DocumentId 
 ) 
 ); 
 CREATE 
  
 TABLE 
  
 DocumentHistory 
  
 ( 
  
 UserId 
  
 int8 
  
 NOT 
  
 NULL 
 , 
  
 DocumentId 
  
 int8 
  
 NOT 
  
 NULL 
 , 
  
 Ts 
  
 SPANNER 
 . 
 COMMIT_TIMESTAMP 
  
 NOT 
  
 NULL 
 , 
  
 Delta 
  
 text 
 , 
  
 PRIMARY 
  
 KEY 
  
 ( 
 UserId 
 , 
  
 DocumentId 
 , 
  
 Ts 
 ) 
 ) 
  
 INTERLEAVE 
  
 IN 
  
 PARENT 
  
 Documents 
 ; 
 

To create a changelog, insert a new row in DocumentHistory in the same transaction in which you insert or update a row in Document . In the insertion of the new row in DocumentHistory , use the placeholder spanner.commit_timestamp() (or client library constant) to tell Spanner to write the commit timestamp into column Ts . Interleaving the DocumentsHistory table with the Documents table permits data locality and more efficient inserts and updates. However, it also adds the constraint that the parent and child rows must be deleted together. To keep the rows in DocumentHistory after rows in Documents are deleted, don't interleave the tables.

Optimize recent-data queries with commit timestamps

Commit timestamps optimize your Spanner database and can reduce query I/O when retrieving data written after a particular time.

To activate this optimization, a query's WHERE clause must include a comparison between a table's commit timestamp column and a specific time that you provide, with the following attributes:

  • Provide the specific time as a constant expression : a literal, a parameter, or a function whose own arguments evaluate to constants.

  • Compare whether the commit timestamp is more recent than the given time, through either the > or >= operators.

  • Optionally, add further restrictions to the WHERE clause with AND . Extending the clause with OR disqualifies the query from this optimization.

For example, consider the following Performances table, which includes a commit timestamp column:

  CREATE 
  
 TABLE 
  
 Performances 
  
 ( 
  
 SingerId 
  
 bigint 
  
 NOT 
  
 NULL 
 , 
  
 VenueId 
  
 bigint 
  
 NOT 
  
 NULL 
 , 
  
 EventDate 
  
 timestamp 
  
 with 
  
 time 
  
 zone 
  
 NOT 
  
 NULL 
 , 
  
 Revenue 
  
 bigint 
 , 
  
 LastUpdateTime 
  
 spanner 
 . 
 commit_timestamp 
 , 
  
 PRIMARY 
  
 KEY 
 ( 
 SingerId 
 , 
  
 VenueId 
 , 
  
 EventDate 
 ) 
 ); 
 

This query benefits from the commit-timestamp optimization described earlier, because it has a greater-than-or-equal-to comparison between the table's commit timestamp column and a constant expression—in this case, a literal:

  SELECT 
  
 * 
  
 FROM 
  
 Performances 
  
 WHERE 
  
 LastUpdateTime 
  
> = 
  
 '2022-01-01' 
 ; 
 
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