Using the GCS+gRPC Plugin

The GCS C++ client library includes an optional plugin to access GCS via gRPC. When using GCS from Google Compute Engine (GCE) this plugin can enable higher total throughput across large workloads that run on hundreds or thousands of VMs.

Release Notes

There are some features that the gRPC plugin does not implement or implements differently from the REST-based implementation.

1. For best performance consider using Protobuf >= 23.2 and gRPC >= 1.55.0. Older versions of Protobuf requires enabling ctype=CORD workarounds at compile-time.
2. To override the default endpoint you should use EndpointOption instead of RestEndpointOption.
3. The default endpoint (storage.googleapis.com) works from any hosting environment (on-prem, GKE, GCE, other cloud providers, etc.). For best performance on GCE or GKE consider using google-c2p:///storage.googleapis.com.
4. The Fields request parameter is passed verbatim to the backend. Some fields have different names in gRPC, and the backend does not translate them. This is a rarely used feature, and we do not anticipate the behavior change is likely to cause problems. If it does cause any issues please file a bug.
5. All the storage::Client::*AccessControl() functions are emulated. For functions that change state, the emulation uses an OCC loop. While this preserves the semantics of a single RPC (e.g. no other concurrent changes are lost), it requires making at least two RPCs. This may increase the cost of calling these functions. Our telemetry shows these functions are not used via the C++ client library, but you should keep this in mind before deciding to use these functions in new code.
6. The functions to create, list, query, and delete HMAC keys and notifications are unavailable in gRPC. Our telemetry indicates that these functions are never used in C++, and therefore we do not anticipate this can cause problems.

Required code changes

To use GCS+gRPC plugin you need to make some changes to how your application initializes the GCS C++ client library. First, an additional header provides the initialization functions:

#include "google/cloud/storage/grpc_plugin.h"
#include "google/cloud/storage/options.h"
#include "google/cloud/common_options.h"
#include "google/cloud/options.h"

#include <iostream>
#include <map>
#include <string>
#include <utility>
#include <vector>

namespace {
namespace examples = ::google::cloud::storage::examples;

#if GOOGLE_CLOUD_CPP_STORAGE_HAVE_GRPC

Then you initialize a google::cloud::storage::Client using a new function:

  auto client = google::cloud::storage_experimental::DefaultGrpcClient();

The google::cloud::storage::Client object returned by this function can be used as before:

void GrpcReadWrite(std::string const& bucket_name) {
  namespace gcs = ::google::cloud::storage;
  auto constexpr kText = R"""(Hello World!)""";

  auto client = google::cloud::storage_experimental::DefaultGrpcClient();

  auto object = client.InsertObject(bucket_name, "lorem.txt", kText);
  if (!object) throw std::move(object).status();

  auto input = client.ReadObject(bucket_name, "lorem.txt",
                                 gcs::Generation(object->generation()));
  std::string const actual(std::istreambuf_iterator<char>{input}, {});
  if (input.bad()) throw google::cloud::Status(input.status());
  std::cout << "The contents read back are:\n"
            << actual
            << "\nThe received checksums are: " << input.received_hash()
            << "\nThe computed checksums are: " << input.computed_hash()
            << "\nThe original hashes    are: crc32c=" << object->crc32c()
            << ",md5=" << object->md5_hash() << "\n";
}

Changing your build scripts

If you are using CMake to compile your application, then you need to change the target_link_libraries() command to use google-cloud-cpp::experimental-storage_grpc instead of google-cloud-cpp::storage. For example, our quickstart program for gRPC uses:

add_executable(quickstart_grpc quickstart_grpc.cc)
target_link_libraries(quickstart_grpc google-cloud-cpp::experimental-storage_grpc)

If you are using Bazel to compile your application, then you need to change the dependencies from @google_cloud_cpp//:storage to @google_cloud_cpp//:experimental-storage_grpc. For example, our `grpc/quickstart uses:

cc_binary(
    name = "quickstart_grpc",
    srcs = [
        "quickstart_grpc.cc",
    ],
    deps = [
        "@google_cloud_cpp//:experimental-storage_grpc",
    ],
)