Add Getting started documentation for otel-cpp sdk

docs/public/sdk/GettingStarted.rst

@@ -1,4 +1,208 @@
 Getting started
----------------
+^^^^^^^^^^^^^^^
 
-TBD
+OpenTelemetry C++ SDK provides the reference implementation of OpenTelemetry C++ API,
+and also provides implementation for Processor, Sampler, and core Exporters as per the
+specification.
+
+
+Exporter
+^^^^^^^^
+
+An exporter is responsible for sending the telemetry data to a particular backend.
+OpenTelemetry offers six tracing exporters out of the box:
+
+- In-Memory Exporter: keeps the data in memory, useful for debugging.
+- Jaeger Exporter: prepares and sends the collected telemetry data to a Jaeger backend via UDP and HTTP.
+- Zipkin Exporter: prepares and sends the collected telemetry data to a Zipkin backend via the Zipkin APIs.
+- Logging Exporter: saves the telemetry data into log streams.
+- OpenTelemetry(otlp) Exporter: sends the data to the OpenTelemetry Collector using protobuf/gRPC or protobuf/HTTP.
+- ETW Exporter: sends the telemetry data to Event Tracing for Windows (ETW).
+
+.. code:: cpp
+
+    // logging exporter
+    auto ostream_exporter =
+        std::unique_ptr<sdktrace::SpanExporter>(new opentelemetry::exporter::trace::OStreamSpanExporter);
+
+    // memory exporter
+    auto memory_exporter =
+        std::unique_ptr<sdktrace::SpanExporter>(new opentelemetry::exporter::memory::InMemorySpanExporter);
+
+    // zipkin exporter
+    opentelemetry::exporter::zipkin::ZipkinExporterOptions opts;
+    opts.endpoint = "http://localhost:9411/api/v2/spans" ; // or export OTEL_EXPORTER_ZIPKIN_ENDPOINT="..."
+    opts.service_name = "default_service" ;
+    auto zipkin_exporter =
+        std::unique_ptr<sdktrace::SpanExporter>(new opentelemetry::exporter::zipkin::ZipkinExporter(opts));
+
+    // Jaeger UDP exporter
+    opentelemetry::exporter::jaeger::JaegerExporterOptions opts;
+    opts.server_addr = "localhost";
+    opts.server_port =  6831;
+    auto jaeger_udp_exporter =
+        std::unique_ptr<sdktrace::SpanExporter>(new opentelemetry::exporter::jaeger::JaegerExporter(opts));
+
+    // otlp grpc exporter
+    opentelemetry::exporter::otlp::OtlpGrpcExporterOptions opts;
+    opts.endpoint = "localhost::4317";
+    opts.use_ssl_credentials = true;
+    opts.ssl_credentials_cacert_as_string = "ssl-certificate";
+    auto otlp_grpc_exporter =
+        std::unique_ptr<sdktrace::SpanExporter>(new opentelemetry::exporter::otlp::OtlpGrpcExporter(opts));
+
+    // otlp http exporter
+    opentelemetry::exporter::otlp::OtlpHttpExporterOptions opts;
+    opts.url = "http://localhost:4317/v1/traces";
+    auto otlp_http_exporter =
+        std::unique_ptr<sdktrace::SpanExporter>(new opentelemetry::exporter::otlp::OtlpHttpExporter(opts));
+
+
+Span Processor
+^^^^^^^^^^^^^^
+
+Span Processor is initialised with an Exporter. Different Span Processors are offered by OpenTelemetry C++ SDK:
+
+- SimpleSpanProcessor: immediately forwards ended spans to the exporter.
+- BatchSpanProcessor: batches the ended spans and send them to exporter in bulk.
+- MultiSpanProcessor: Allows multiple span processors to be active and configured at the same time.
+
+.. code:: cpp
+
+    // simple processor
+    auto simple_processor = std::unique_ptr<sdktrace::SpanProcessor>(
+        new sdktrace::SimpleSpanProcessor(std::move(ostream_exporter)));
+
+    // batch processor
+    sdktrace::BatchSpanProcessorOptions options{};
+    auto batch_processor = std::unique_ptr<sdktrace::SpanProcessor>(
+        new sdktrace::BatchSpanProcessor(std::move(memory_exporter), options));
+
+    // multi-processor
+    std::vector<std::unique_ptr<SpanProcessor>>
+        processors{std::move(simple_processor), std::move(batch_processor)};
+    auto multi_processor = std::unique_ptr<sdktrace::SpanProcessor>(
+        new sdktrace::MultiSpanProcessor(std::move(processors));
+
+Resource
+^^^^^^^^
+
+A Resource is an immutable representation of the entity producing telemetry as key-value pair.
+The OpenTelemetry C++ SDK allow for creation of Resources and for associating them with telemetry.
+
+.. code:: cpp
+
+    auto resource_attributes = opentelemetry::sdk::resource::ResourceAttributes
+        {
+            {"service.name": "shoppingcart"},
+            {"service.instance.id": "instance-12"}
+        };
+    auto resource = opentelemetry::sdk::resource::Resource::Create(resource_attributes);
+    auto received_attributes = resource.GetAttributes();
+    // received_attributes contains
+    //      - service.name = shoppingcart
+    //      - service.instance.id = instance-12
+    //      - telemetry.sdk.name = opentelemetry
+    //      - telemetry.sdk.language = cpp
+    //      - telemetry.sdk.version = <current sdk version>
+
+It is possible to define the custom resource detectors by inhering from
+`opentelemetry::sdk::Resource::ResourceDetector` class.
+
+Sampler
+^^^^^^^
+
+Sampling is mechanism to control/reducing the number of samples of traces collected and sent to the backend.
+OpenTelemetry C++ SDK  offers four samplers out of the box:
+
+- AlwaysOnSampler which samples every trace regardless of upstream sampling decisions.
+- AlwaysOffSampler which doesn’t sample any trace, regardless of upstream sampling decisions.
+- ParentBased which uses the parent span to make sampling decisions, if present.
+- TraceIdRatioBased which samples a configurable percentage of traces.
+
+.. code:: cpp
+
+    //AlwaysOnSampler
+    opentelemetry::sdk::trace::AlwaysOnSampler always_on_sampler;
+
+    //AlwaysOffSampler
+    opentelemetry::sdk::trace::AlwaysOffSampler always_off_sampler;
+
+    //ParentBasedSampler
+    opentelemetry::sdk::trace::ParentBasedSampler sampler_off(std::make_shared<AlwaysOffSampler>());
+
+    //TraceIdRatioBasedSampler - Sample 50% generated spans
+    double ratio       = 0.5;
+    opentelemetry::sdk::trace::TraceIdRatioBasedSampler s(ratio);
+
+
+TracerContext
+^^^^^^^^^^^^^
+
+SDK configuration are shared between `TracerProvider` and all it's `Tracer` instances through `TracerContext`.
+
+.. code:: cpp
+
+    auto tracer_context = std::make_shared<sdktrace::TracerContext>
+        (std::move(multi_processor), resource, std::move(always_on_sampler));
+
+TracerProvider
+^^^^^^^^^^^^^^
+
+`TracerProvider` instance holds the SDK configurations ( Span Processors, Samplers, Resource). There is single
+global TracerProvider instance for an application, and it is created at the start of application.
+There are two different mechanisms to create TraceProvider instance
+
+- Using constructor which takes already created TracerContext shared object as parameter.
+- Using consructor which takes SDK configurations as parameter.
+
+.. code:: cpp
+
+    // Created using `TracerContext` instance
+    auto tracer_provider = sdktrace::TracerProvider(tracer_context);
+
+    // Create using SDK configurations as parameter
+    auto tracer_provider =
+        sdktrace::TracerProvider(std::move(simple_processor), resource, std::move(always_on_sampler));
+
+    // set the global tracer TraceProvider
+    opentelemetry::trace::Provider::SetTracerProvider(provider);
+
+
+Logging and Error Handling
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+OpenTelemetry C++ SDK provides mechanism for application owner to add customer log and error handler.
+The default log handler is redirected to standard output ( using std::cout ).
+
+The logging macro supports logging using C++ stream format, and key-value pair.
+The log handler is meant to capture errors and warnings arising from SDK, not supposed to be used for the application errors.
+The different log levels are supported - Error, Warn, Info and Debug. The default log level is Warn ( to dump both Error and Warn)
+and it can be changed at compile time.
+
+.. code:: cpp
+
+    OTEL_INTERNAL_LOG_ERROR
+            (" Connection failed. Error string " << error_str << " Error Num: " << errorno);
+    OTEL_INTERNAL_LOG_ERROR
+            (" Connection failed." , {{"error message: " : error_str},{"error number": errorno}});
+    OTEL_INTERNAL_LOG_DEBUG
+            (" Connection Established Successfully. Headers:", {{"url", url},{"content-length", len}, {"content-type", type}});
+
+The custom log handler can be defined by inheriting from `sdk::common::internal_log::LogHandler` class.
+
+.. code:: cpp
+
+    class CustomLogHandler : public sdk::common::internal_log::LogHandler
+    {
+        void Handle(Loglevel level,
+                    const char \*file,
+                    int line,
+                    const char \*msg,
+                    const sdk::common::AttributeMap &attributes)
+
+        {
+            // add implementation here
+        }
+    };
+    sdk::common::internal_log::GlobalLogHandler::SetLogHandler(CustomLogHandler());