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README.md

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@@ -43,41 +43,41 @@ confluent-kafka-dotnet is distributed via NuGet. We provide five packages:
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To install Confluent.Kafka from within Visual Studio, search for Confluent.Kafka in the NuGet Package Manager UI, or run the following command in the Package Manager Console:
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```
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Install-Package Confluent.Kafka -Version 2.3.0-RC3
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Install-Package Confluent.Kafka -Version 2.3.0-RC4
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```
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To add a reference to a dotnet core project, execute the following at the command line:
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```
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dotnet add package -v 2.3.0-RC3 Confluent.Kafka
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dotnet add package -v 2.3.0-RC4 Confluent.Kafka
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```
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Note: `Confluent.Kafka` depends on the `librdkafka.redist` package which provides a number of different builds of `librdkafka` that are compatible with [common platforms](https://github.com/edenhill/librdkafka/wiki/librdkafka.redist-NuGet-package-runtime-libraries). If you are on one of these platforms this will all work seamlessly (and you don't need to explicitly reference `librdkafka.redist`). If you are on a different platform, you may need to [build librdkafka](https://github.com/edenhill/librdkafka#building) manually (or acquire it via other means) and load it using the [Library.Load](https://docs.confluent.io/current/clients/confluent-kafka-dotnet/api/Confluent.Kafka.Library.html#Confluent_Kafka_Library_Load_System_String_) method.
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### Branch builds
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Nuget packages corresponding to all commits to release branches are available from the following nuget package source (Note: this is not a web URL - you
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Nuget packages corresponding to all commits to release branches are available from the following nuget package source (Note: this is not a web URL - you
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should specify it in the nuget package manager):
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[https://ci.appveyor.com/nuget/confluent-kafka-dotnet](https://ci.appveyor.com/nuget/confluent-kafka-dotnet). The version suffix of these nuget packages
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matches the appveyor build number. You can see which commit a particular build number corresponds to by looking at the
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[https://ci.appveyor.com/nuget/confluent-kafka-dotnet](https://ci.appveyor.com/nuget/confluent-kafka-dotnet). The version suffix of these nuget packages
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matches the appveyor build number. You can see which commit a particular build number corresponds to by looking at the
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[AppVeyor build history](https://ci.appveyor.com/project/ConfluentClientEngineering/confluent-kafka-dotnet/history)
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## Usage
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For a step-by-step guide and code samples, see [Getting Started with Apache Kafka and .NET](https://developer.confluent.io/get-started/dotnet/) on [Confluent Developer](https://developer.confluent.io/).
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For a step-by-step guide and code samples, see [Getting Started with Apache Kafka and .NET](https://developer.confluent.io/get-started/dotnet/) on [Confluent Developer](https://developer.confluent.io/).
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You can also take the free self-paced training course [Apache Kafka for .NET Developers](https://developer.confluent.io/learn-kafka/apache-kafka-for-dotnet/) on [Confluent Developer](https://developer.confluent.io/).
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You can also take the free self-paced training course [Apache Kafka for .NET Developers](https://developer.confluent.io/learn-kafka/apache-kafka-for-dotnet/) on [Confluent Developer](https://developer.confluent.io/).
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Take a look in the [examples](examples) directory and at the [integration tests](test/Confluent.Kafka.IntegrationTests/Tests) for further examples.
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Take a look in the [examples](examples) directory and at the [integration tests](test/Confluent.Kafka.IntegrationTests/Tests) for further examples.
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For an overview of configuration properties, refer to the [librdkafka documentation](https://github.com/edenhill/librdkafka/blob/master/CONFIGURATION.md).
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For an overview of configuration properties, refer to the [librdkafka documentation](https://github.com/edenhill/librdkafka/blob/master/CONFIGURATION.md).
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### Basic Producer Examples
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You should use the `ProduceAsync` method if you would like to wait for the result of your produce
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requests before proceeding. You might typically want to do this in highly concurrent scenarios,
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for example in the context of handling web requests. Behind the scenes, the client will manage
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for example in the context of handling web requests. Behind the scenes, the client will manage
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optimizing communication with the Kafka brokers for you, batching requests as appropriate.
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```csharp
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```
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Note that a server round-trip is slow (3ms at a minimum; actual latency depends on many factors).
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In highly concurrent scenarios you will achieve high overall throughput out of the producer using
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the above approach, but there will be a delay on each `await` call. In stream processing
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In highly concurrent scenarios you will achieve high overall throughput out of the producer using
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the above approach, but there will be a delay on each `await` call. In stream processing
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applications, where you would like to process many messages in rapid succession, you would typically
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use the `Produce` method instead:
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{
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var conf = new ProducerConfig { BootstrapServers = "localhost:9092" };
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Action<DeliveryReport<Null, string>> handler = r =>
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Action<DeliveryReport<Null, string>> handler = r =>
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Console.WriteLine(!r.Error.IsError
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? $"Delivered message to {r.TopicPartitionOffset}"
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: $"Delivery Error: {r.Error.Reason}");
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public static void Main(string[] args)
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{
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var conf = new ConsumerConfig
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{
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{
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GroupId = "test-consumer-group",
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BootstrapServers = "localhost:9092",
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// Note: The AutoOffsetReset property determines the start offset in the event
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### Confluent Cloud
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For a step-by-step guide on using the .NET client with Confluent Cloud see [Getting Started with Apache Kafka and .NET](https://developer.confluent.io/get-started/dotnet/) on [Confluent Developer](https://developer.confluent.io/).
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For a step-by-step guide on using the .NET client with Confluent Cloud see [Getting Started with Apache Kafka and .NET](https://developer.confluent.io/get-started/dotnet/) on [Confluent Developer](https://developer.confluent.io/).
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You can also refer to the [Confluent Cloud example](examples/ConfluentCloud) which demonstrates how to configure the .NET client for use with
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[Confluent Cloud](https://www.confluent.io/confluent-cloud/).
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Instructions on building and testing confluent-kafka-dotnet can be found [here](DEVELOPER.md).
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Copyright (c)
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Copyright (c)
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2016-2019 [Confluent Inc.](https://www.confluent.io)
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2015-2016 [Andreas Heider](mailto:[email protected])
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examples/AdminClient/AdminClient.csproj

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</PropertyGroup>
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<ItemGroup>
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<!-- nuget package reference: <PackageReference Include="Confluent.Kafka" Version="2.3.0-RC3" /> -->
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<!-- nuget package reference: <PackageReference Include="Confluent.Kafka" Version="2.3.0-RC4" /> -->
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<ProjectReference Include="../../src/Confluent.Kafka/Confluent.Kafka.csproj" />
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</ItemGroup>
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examples/AvroBlogExamples/AvroBlogExamples.csproj

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<ItemGroup>
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<!-- nuget package reference: <PackageReference Include="Confluent.SchemaRegistry.Serdes.Avro" Version="2.3.0-RC3" /> -->
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<!-- nuget package reference: <PackageReference Include="Confluent.SchemaRegistry.Serdes.Avro" Version="2.3.0-RC4" /> -->
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<ProjectReference Include="../../src/Confluent.SchemaRegistry.Serdes.Avro/Confluent.SchemaRegistry.Serdes.Avro.csproj" />
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examples/AvroGeneric/AvroGeneric.csproj

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<ItemGroup>
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<!-- nuget package reference: <PackageReference Include="Confluent.SchemaRegistry.Serdes.Avro" Version="2.3.0-RC3" /> -->
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<!-- nuget package reference: <PackageReference Include="Confluent.SchemaRegistry.Serdes.Avro" Version="2.3.0-RC4" /> -->
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<ProjectReference Include="../../src/Confluent.SchemaRegistry.Serdes.Avro/Confluent.SchemaRegistry.Serdes.Avro.csproj" />
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examples/AvroSpecific/AvroSpecific.csproj

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<!-- nuget package reference: <PackageReference Include="Confluent.SchemaRegistry.Serdes.Avro" Version="2.3.0-RC3" /> -->
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<!-- nuget package reference: <PackageReference Include="Confluent.SchemaRegistry.Serdes.Avro" Version="2.3.0-RC4" /> -->
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<ProjectReference Include="../../src/Confluent.SchemaRegistry.Serdes.Avro/Confluent.SchemaRegistry.Serdes.Avro.csproj" />
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examples/Configuration/Configuration.csproj

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<!-- nuget package reference: <PackageReference Include="Confluent.Kafka" Version="2.2.0" /> -->
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<!-- nuget package reference: <PackageReference Include="Confluent.Kafka" Version="2.3.0-RC4" /> -->
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<ProjectReference Include="../../src/Confluent.Kafka/Confluent.Kafka.csproj" />
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<PackageReference Include="Microsoft.Extensions.Configuration" Version="6.0.0" />
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<PackageReference Include="Microsoft.Extensions.Configuration.Json" Version="6.0.0" />
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<PackageReference Include="Microsoft.Extensions.Configuration.Binder" Version="6.0.0" />
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<None Update="appsettings.json" CopyToOutputDirectory="Always" />
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examples/ConfluentCloud/ConfluentCloud.csproj

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<!-- nuget package reference: <PackageReference Include="Confluent.Kafka" Version="2.3.0-RC4" /> -->
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examples/Consumer/Consumer.csproj

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<!-- nuget package reference: <PackageReference Include="Confluent.Kafka" Version="2.3.0-RC4" /> -->
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examples/ExactlyOnce/ExactlyOnce.csproj

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<!-- nuget package reference: <PackageReference Include="Confluent.Kafka" Version="2.3.0-RC4" /> -->
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<ProjectReference Include="../../src/Confluent.Kafka/Confluent.Kafka.csproj" />
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<PackageReference Include="Microsoft.FASTER.Core" Version="1.8.0" />
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examples/ExactlyOnceOldBroker/ExactlyOnceOldBroker.csproj

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<ProjectReference Include="../../src/Confluent.Kafka/Confluent.Kafka.csproj" />
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<PackageReference Include="RocksDbSharp" Version="6.2.2" />
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<PackageReference Include="RocksDbNative" Version="6.2.2" />

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