using Spice;
using Spice.Params;

using var client = new SpiceClientBuilder().Build();

// Basic usage with type inference
var data = await client.QueryWithParams(
    "SELECT * FROM products WHERE id = $1 AND price >= $2",
    42,           // Inferred as Int32
    10.50         // Inferred as Double
);

// Read the results as Arrow data
while (await data!.ReadNextRecordBatchAsync() is { } batch)
{
    // Process batch...
}

Explicit Type Control with the Param Class

Use the Param class for explicit control over Arrow data types:

using Spice;
using Spice.Params;

using var client = new SpiceClientBuilder().Build();

// Explicitly typed parameters
var data = await client.QueryWithParams(
    "SELECT * FROM orders WHERE customer_id = $1 AND order_date >= $2 AND total > $3",
    Param.Int64(12345),                           // Explicit Int64
    Param.Date32(new DateTime(2024, 1, 1)),       // Date without time
    Param.Decimal128(100.00m, 10, 2)              // Decimal with precision/scale
);

// Supported Param types:
// - Integers: Param.Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64
// - Floating point: Param.Float, Double
// - Text/Binary: Param.String, Binary
// - Boolean: Param.Boolean
// - Date/Time: Param.Date32, Date64, Time32, Time64, Timestamp
// - Duration: Param.DurationSeconds, DurationMilliseconds, DurationMicroseconds, DurationNanoseconds
// - Decimal: Param.Decimal128, Decimal256
// - Null: Param.Null

Mixed Parameters

You can mix inferred and explicit types in the same query:

var data = await client.QueryWithParams(
    "SELECT * FROM users WHERE name = $1 AND age > $2 AND verified = $3",
    "John",                    // Inferred as String
    Param.Int16(18),           // Explicit Int16
    true                       // Inferred as Boolean
);

Refresh Dataset

Trigger a refresh of an accelerated dataset:

using Spice;

using var client = new SpiceClientBuilder().Build();

await client.RefreshDatasetAsync("my_dataset");

Custom Connection Settings

using Spice;

// Connect to Spice on a custom host/port
using var client = new SpiceClientBuilder()
    .WithFlightAddress("grpc://my-server:50051")
    .WithHttpAddress("http://my-server:8090")
    .Build();

// Enable TLS for self-hosted Spice
using var tlsClient = new SpiceClientBuilder()
    .WithFlightAddress("grpc+tls://my-server:50051")
    .WithHttpAddress("https://my-server:8090")
    .WithTls(true)
    .Build();

Spice.ai Cloud

Initialize Client

using Spice;

using var client = new SpiceClientBuilder()
    .WithSpiceCloud("API_KEY")  // Automatically configures endpoints and enables TLS
    .Build();

Query

using Spice;

using var client = new SpiceClientBuilder()
    .WithSpiceCloud("API_KEY")
    .Build();

var data = await client.Query("SELECT * FROM eth.recent_blocks LIMIT 10;");

Parameterized Queries

using Spice;

using var client = new SpiceClientBuilder()
    .WithSpiceCloud("API_KEY")
    .Build();

var parameters = new Dictionary<string, object>
{
    { "nation_name", "CHINA" },
    { "min_key", 0 }
};

var data = await client.Query(
    "SELECT * FROM tpch.nation WHERE n_name = :nation_name AND n_nationkey >= :min_key", 
    parameters);

Refresh Dataset

using Spice;

using var client = new SpiceClientBuilder()
    .WithSpiceCloud("API_KEY")
    .Build();

await client.RefreshDatasetAsync("my_dataset");

Memory Management

The SpiceClient implements IDisposable and should be properly disposed to release network resources (gRPC channels, HTTP clients). Use the using statement or using declaration for automatic disposal:

// Using statement (automatically disposes when scope exits)
using (var client = new SpiceClientBuilder().WithSpiceCloud("API_KEY").Build())
{
    var data = await client.Query("SELECT * FROM tpch.customer LIMIT 10;");
    // Process data...
} // Client is disposed here

// Or using declaration (C# 8.0+)
using var client = new SpiceClientBuilder().WithSpiceCloud("API_KEY").Build();
var data = await client.Query("SELECT * FROM tpch.customer LIMIT 10;");
// Client is disposed at end of scope

Important: Always dispose of SpiceClient instances to prevent resource leaks, especially in long-running applications or when creating multiple client instances.

Documentation

Check out our Documentation to learn more about how to use the Dotnet SDK.