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Library to access MS-SQL change data capture (CDC)

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Microsoft SQL - Change Data Capture (CDC)

You can get the NuGet package here.

Introduction

This library streamlines the utilization of MS-SQL-CDC by offering a simplified API that facilitates interaction with the SQL functions specific to MS-SQL-CDC. The design of the API deliberately prioritizes simplicity, empowering users to develop their own abstractions if necessary.

Examples

Usage examples can be found under the example folder.

API

Get min LSN

Get the start_lsn column value for the specified capture instance from the cdc.change_tables system table. This value represents the low endpoint of the validity interval for the capture instance.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var minLsn = await Cdc.GetMinLsnAsync(connection, "dbo_Employee");

Get max LSN

Get the maximum log sequence number (LSN) from the start_lsn column in the cdc.lsn_time_mapping system table. You can use this function to return the high endpoint of the change data capture timeline for any capture instance.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var maxLsn = await Cdc.GetMaxLsnAsync(connection);

Get previous LSN

Get the previous log sequence number (LSN) in the sequence based upon the specified LSN.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var previousLsn = await Cdc.GetPreviousLsnAsync(connection, 120000);

Get next LSN

Get the next log sequence number (LSN) in the sequence based upon the specified LSN.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var nextLsn = await Cdc.GetNextLsnAsync(connection, 120000);

Map time to LSN

Map the log sequence number (LSN) value from the start_lsn column in the cdc.lsn_time_mapping system table for the specified time.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var lsn = await Cdc.MapTimeToLsnAsync(connection, DateTime.UtcNow, RelationalOperator.LargestLessThan);

Map LSN to time

Map date and time value from the tran_end_time column in the cdc.lsn_time_mapping system table for the specified log sequence number (LSN). You can use this function to systematically map LSN ranges to date ranges in a change table.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var time = await Cdc.MapLsnToTimeAsync(connection, 120000);

Get all changes

Get one row for each change applied to the source table within the specified log sequence number (LSN) range. If a source row had multiple changes during the interval, each change is represented in the returned result set.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var allChanges = await Cdc.GetAllChangesAsync(connection, "dbo_Employee", 120000, 120020);

Get net changes

Get one net change row for each source row changed within the specified Log Sequence Numbers (LSN) range.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var netChanges = await Cdc.GetNetChangesAsync(connection, "dbo_Employee", 120000, 120020);

Get column ordinal

Get the column ordinal of the specified column as it appears in the change table associated with the specified capture instance.

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();
var columnOrdinal = await Cdc.GetColumnOrdinalAsync(connection, "dbo_Employee", "Salary");

Has column changed

Identifies whether the update mask on the specified column has been updated in the associated change row.

var captureInstance = "dbo_Employee";

using var connection = new SqlConnection("myConnectionString");
await connection.OpenAsync();

var minLsn = await Cdc.GetMinLsnAsync(connection, captureInstance);
var maxLsn = await Cdc.GetMaxLsnAsync(connection);

var columnOrdinal = await Cdc.GetColumnOrdinalAsync(connection, captureInstance, columnName);
var changes = await Cdc.GetAllChangesAsync(
                      connection,
                      captureInstance,
                      minLsn,
                      maxLsn,
                      AllChangesRowFilterOption.AllUpdateOld);

// We just pick the first one here as an example.
var updateMask = changes.First().GetUpdateMask();

var hasColumnChanged = await Cdc.HasColumnChangedAsync(connection, captureInstance, columnName, updateMask);

Setup CDC on MS-SQL Server

First make sure that you've enabled the MS-SQL agent, otherwise changes won't be captured in the CDC tables.

Enable CDC on the database

Shows the simplest way to setup CDC on a MSSQL server for a single table named MyTable. You can read more here

USE MyDB
GO
EXEC sys.sp_cdc_enable_db
GO

Enable CDC on a table

USE MyDB
GO
EXEC sys.sp_cdc_enable_table
@source_schema = N'dbo',
@source_name   = N'MyTable',
@role_name     = N'MyRole',
@supports_net_changes = 1
GO

Testing

Running all tests

dotnet test

Running unit tests

dotnet test --filter Category=Unit

Running integration tests

dotnet test --filter Category=Integration

To run the integration tests, a running MS-SQL database is required. You can use the docker command below to set up a local MS-SQL database to run the integration tests against.

docker run -e "ACCEPT_EULA=Y" -e "SA_PASSWORD=myAwesomePassword1" -e "MSSQL_AGENT_ENABLED=True"  -p 1433:1433 -d mcr.microsoft.com/mssql/server:2022-CU13-ubuntu-22.04