.NET Analytics SDK Quickstart Guide
Install, connect, try. A quick start guide to get you up and running with Enterprise Analytics and the .NET Analytics SDK.
Enterprise Analytics is a real-time analytical database (RT-OLAP) for real time apps and operational intelligence. Although maintaining some syntactic similarities with the operational SDKs, the .NET Analytics SDK is developed from the ground-up for column-based analytical use cases, and supports streaming APIs to handle large datasets.
Before You Start
Install and configure an Enterprise Analytics Cluster.
Adding the SDK to an Existing Project
Add the NuGet package to your *.csproj file, or add it using the command line:
dotnet add package Couchbase.AnalyticsClient
<PackageReference Include="Couchbase.AnalyticsClient" Version="1.1.0" />
Connecting and Executing a Query
.NET Analytics SDK 1.1 adds support for JWT and client certificate authentication, as well as a new Server Asynchronous Request API that uses request handles to fetch results. Introduced in the self-managed Enterprise Analytics Server 2.2, this API eliminates the need for long-running server connections.
The examples in this first section of the page are for the standard API — async on the client side — working with Enterprise Analytics 2.0 and later (with Server Asynchronous Request API examples following in the Server Async section). You can still use this API with Enterprise Analytics 2.2 and later, in addition to the new API.
Server Synchronous Request API
using Couchbase.AnalyticsClient;
using Couchbase.AnalyticsClient.HTTP;
using Couchbase.AnalyticsClient.Options;
var credential = Credential.Create("username", "password");
var cluster = Cluster.Create(
connectionString: "https://analytics.my-couchbase.example.com:18095",
credential: credential)
);
var result = await cluster.ExecuteQueryAsync("SELECT i from ARRAY_RANGE(1, 100) AS i;").ConfigureAwait(false);
await foreach (var row in result.ConfigureAwait(false))
{
Console.WriteLine(row.ContentAs<JsonElement>());
}
Server Asynchronous Request API
Enterprise Analytics 2.2 introduces an asynchronous request API. The SDK sends a request, polls for results, and then fetches once the result is available.
// ──────────────────────────────────────────────
// Start an async query
// ──────────────────────────────────────────────
var statement = """SELECT VALUE SLEEP("x", 100) FROM RANGE(1, 100) AS id;""";
var handle = await cluster.StartQueryAsync(statement, opts => opts
.WithQueryTimeout(TimeSpan.FromSeconds(60)));
Console.WriteLine($"Query submitted. Handle: {handle}");
// ──────────────────────────────────────────────
// Poll until results are ready
// ──────────────────────────────────────────────
var resultHandle = await WaitForQueryResultsAsync(handle, pollDelay: TimeSpan.FromSeconds(2.5), timeout: TimeSpan.FromSeconds(120));
Console.WriteLine($"Results ready. {resultHandle}");
// ──────────────────────────────────────────────
// Fetch and display results
// ──────────────────────────────────────────────
// IQueryResult implements IAsyncDisposable. The 'await using' declaration
// ensures the underlying HTTP response stream is released after consumption.
// Forgetting this will leak connections.
await using var results = await resultHandle.FetchResultsAsync();
await foreach (var row in results.Rows)
{
Console.WriteLine($"Found row: {row.ContentAs<JsonElement>()}");
}
Console.WriteLine($"Metadata: RequestId={results.MetaData.RequestId}, " +
$"ResultCount={results.MetaData.Metrics?.ResultCount}, " +
$"ElapsedTime={results.MetaData.Metrics?.ElapsedTime}");
// ──────────────────────────────────────────────
// Discard results on the server
// ──────────────────────────────────────────────
await resultHandle.DiscardResultsAsync();
Console.WriteLine("Results discarded.");
// ──────────────────────────────────────────────
// Helper: poll query status until ready
// ──────────────────────────────────────────────
/// <summary>
/// Polls the query handle at regular intervals until the server reports
/// that results are ready, or the timeout is reached.
/// </summary>
/// <param name="handle">The query handle returned by StartQueryAsync.</param>
/// <param name="pollDelay">Time between status polls.</param>
/// <param name="timeout">Maximum time to wait before throwing a TimeoutException.</param>
/// <returns>A <see cref="QueryResultHandle"/> that can be used to fetch results.</returns>
/// <exception cref="TimeoutException">Thrown when results are not ready within the timeout.</exception>
static async Task<QueryResultHandle> WaitForQueryResultsAsync(
QueryHandle handle,
TimeSpan pollDelay,
TimeSpan timeout)
{
var stopwatch = Stopwatch.StartNew();
while (true)
{
try
{
var status = await handle.FetchStatusAsync();
if (status.ResultsReady)
{
return status.ResultHandle();
}
Console.WriteLine($"Query status: {status}");
}
catch (Exception ex)
{
// Depending on the use case, you might want to break here or continue retrying.
Console.WriteLine($"Error fetching query status: {ex.Message}");
}
if (stopwatch.Elapsed + pollDelay > timeout)
{
throw new TimeoutException($"Query results not ready within {timeout.TotalSeconds} seconds.");
}
Console.WriteLine($"Query results not ready yet, sleeping for {pollDelay.TotalSeconds}s...");
await Task.Delay(pollDelay);
}
}
Connection String
The connectionString in the above example should take the form of "https://<your_hostname>:" + PORT
The default port is 443, for TLS connections.
You do not need to give a port number if you are using port 443 — hostname = "https://<your_hostname>" is effectively the same as `hostname = "https://<your_hostname>:" + "443"
If you are using a different port — for example, connecting to a cluster without a load balancer, directly to the Analytics port, 18095 — or not using TLS,
then see the Connecting to Enterprise Analytics page.
Migration from Row-Based Analytics
If you are migrating a project from CBAS — our Analytics service on Capella Operational and Couchbase Server, using our operational SDKs — then information on migration can be found in the Enterprise Analytics docs.
In particular, refer to the SDK section of the Enterprise Analytics migration pages.