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Building Envoy with Bazel

Production environments

To build Envoy with Bazel in a production environment, where the Envoy dependencies are typically independently sourced, the following steps should be followed:

  1. Install the latest version of Bazel in your environment.
  2. Configure, build and/or install the Envoy dependencies.
  3. Configure a Bazel WORKSPACE to point Bazel at the Envoy dependencies. An example is provided in the CI Docker image WORKSPACE and corresponding BUILD files.
  4. bazel build --package_path %workspace%:<path to Envoy source tree> //source/exe:envoy-static from the directory containing your WORKSPACE.

Quick start Bazel build for developers

As a developer convenience, a WORKSPACE and rules for building a recent version of the various Envoy dependencies are provided. These are provided as is, they are only suitable for development and testing purposes. The specific versions of the Envoy dependencies used in this build may not be up-to-date with the latest security patches. See this doc for how to update or override dependencies.

  1. Install the latest version of Bazel in your environment.
  2. Install external dependencies libtool, cmake, ninja, realpath and curl libraries separately. On Ubuntu, run the following command:
sudo apt-get install \
   libtool \
   cmake \
   realpath \
   clang-format-7 \
   automake \
   ninja-build \
   curl

On Fedora (maybe also other red hat distros), run the following:

dnf install cmake libtool libstdc++

On OS X, you'll need to install several dependencies. This can be accomplished via Homebrew:

brew install coreutils # for realpath
brew install wget
brew install cmake
brew install libtool
brew install go
brew install bazel
brew install automake
brew install ninja

Envoy compiles and passes tests with the version of clang installed by XCode 9.3.0: Apple LLVM version 9.1.0 (clang-902.0.30).

  1. Install Golang on your machine. This is required as part of building BoringSSL and also for Buildifer which is used for formatting bazel BUILD files.
  2. go get github.com/bazelbuild/buildtools/buildifier to install buildifier
  3. bazel build //source/exe:envoy-static from the Envoy source directory.

Building Bazel with the CI Docker image

Bazel can also be built with the Docker image used for CI, by installing Docker and executing:

./ci/run_envoy_docker.sh './ci/do_ci.sh bazel.dev'

See also the documentation for developer use of the CI Docker image.

Using a compiler toolchain in a non-standard location

By setting the CC and LD_LIBRARY_PATH in the environment that Bazel executes from as appropriate, an arbitrary compiler toolchain and standard library location can be specified. One slight caveat is that (at the time of writing), Bazel expects the binutils in $(dirname $CC) to be unprefixed, e.g. as instead of x86_64-linux-gnu-as.

Supported compiler versions

Though Envoy has been run in production compiled with GCC 4.9 extensively, we now require GCC >= 5 due to known issues with std::string thread safety and C++14 support. Clang >= 4.0 is also known to work.

Clang STL debug symbols

By default Clang drops some debug symbols that are required for pretty printing to work correctly. More information can be found here. The easy solution is to set --copt=-fno-limit-debug-info on the CLI or in your .bazelrc file.

Testing Envoy with Bazel

All the Envoy tests can be built and run with:

bazel test //test/...

An individual test target can be run with a more specific Bazel label, e.g. to build and run only the units tests in test/common/http/async_client_impl_test.cc:

bazel test //test/common/http:async_client_impl_test

To observe more verbose test output:

bazel test --test_output=streamed //test/common/http:async_client_impl_test

It's also possible to pass into an Envoy test additional command-line args via --test_arg. For example, for extremely verbose test debugging:

bazel test --test_output=streamed //test/common/http:async_client_impl_test --test_arg="-l trace"

By default, testing exercises both IPv4 and IPv6 address connections. In IPv4 or IPv6 only environments, set the environment variable ENVOY_IP_TEST_VERSIONS to "v4only" or "v6only", respectively.

bazel test //test/... --test_env=ENVOY_IP_TEST_VERSIONS=v4only
bazel test //test/... --test_env=ENVOY_IP_TEST_VERSIONS=v6only

By default, tests are run with the gperftools heap checker enabled in "normal" mode to detect leaks. For other mode options, see the gperftools heap checker documentation. To disable the heap checker or change the mode, set the HEAPCHECK environment variable:

# Disables the heap checker
bazel test //test/... --test_env=HEAPCHECK=
# Changes the heap checker to "minimal" mode
bazel test //test/... --test_env=HEAPCHECK=minimal

Bazel will by default cache successful test results. To force it to rerun tests:

bazel test //test/common/http:async_client_impl_test --cache_test_results=no

Bazel will by default run all tests inside a sandbox, which disallows access to the local filesystem. If you need to break out of the sandbox (for example to run under a local script or tool with --run_under), you can run the test with --strategy=TestRunner=standalone, e.g.:

bazel test //test/common/http:async_client_impl_test --strategy=TestRunner=standalone --run_under=/some/path/foobar.sh

Stack trace symbol resolution

Envoy can produce backtraces on demand and from assertions and other fatal actions like segfaults. Where supported, stack traces will contain resolved symbols, though not include line numbers. On systems where absl::Symbolization is not supported, the stack traces written in the log or to stderr contain addresses rather than resolved symbols. The tools/stack_decode.py script exists to process the output and do symbol resolution including line numbers, to make the stack traces useful. Any log lines not relevant to the backtrace capability are passed through the script unchanged (it acts like a filter).

The script runs in one of two modes. If passed no arguments it anticipates Envoy (or test) output on stdin. You can postprocess a log or pipe the output of an Envoy process. If passed some arguments it runs the arguments as a child process. This enables you to run a test with backtrace post processing. Bazel sandboxing must be disabled by specifying standalone execution. Example command line:

bazel test -c dbg //test/server:backtrace_test
--run_under=`pwd`/tools/stack_decode.py --strategy=TestRunner=standalone
--cache_test_results=no --test_output=all

You will need to use either a dbg build type or the opt build type to get symbol information in the binaries.

By default main.cc will install signal handlers to print backtraces at the location where a fatal signal occurred. The signal handler will re-raise the fatal signal with the default handler so a core file will still be dumped after the stack trace is logged. To inhibit this behavior use --define=signal_trace=disabled on the Bazel command line. No signal handlers will be installed.

Running a single Bazel test under GDB

tools/bazel-test-gdb //test/common/http:async_client_impl_test -c dbg

Without the -c dbg Bazel option at the end of the command line the test binaries will not include debugging symbols and GDB will not be very useful.

Additional Envoy build and test options

In general, there are 3 compilation modes that Bazel supports:

  • fastbuild: -O0, aimed at developer speed (default).
  • opt: -O2 -DNDEBUG -ggdb3, for production builds and performance benchmarking.
  • dbg: -O0 -ggdb3, no optimization and debug symbols.

You can use the -c <compilation_mode> flag to control this, e.g.

bazel build -c opt //source/exe:envoy-static

Sanitizers

To build and run tests with the gcc compiler's address sanitizer (ASAN) and undefined behavior (UBSAN) sanitizer enabled:

bazel test -c dbg --config=asan //test/...

The ASAN failure stack traces include line numbers as a result of running ASAN with a dbg build above. If the stack trace is not symbolized, try setting the ASAN_SYMBOLIZER_PATH environment variable to point to the llvm-symbolizer binary (or make sure the llvm-symbolizer is in your $PATH).

If you have clang-5.0 or newer, additional checks are provided with:

bazel test -c dbg --config=clang-asan //test/...

Similarly, for thread sanitizer (TSAN) testing:

bazel test -c dbg --config=clang-tsan //test/...

Log Verbosity

Log verbosity is controlled at runtime in all builds.

Disabling optional features

The following optional features can be disabled on the Bazel build command-line:

  • Hot restart with --define hot_restart=disabled
  • Google C++ gRPC client with --define google_grpc=disabled
  • Backtracing on signals with --define signal_trace=disabled

Enabling optional features

The following optional features can be enabled on the Bazel build command-line:

  • Exported symbols during linking with --define exported_symbols=enabled. This is useful in cases where you have a lua script that loads shared object libraries, such as those installed via luarocks.
  • Perf annotation with --define perf_annotation=enabled (see source/common/common/perf_annotation.h for details).

Disabling extensions

Envoy uses a modular build which allows extensions to be removed if they are not needed or desired. Extensions that can be removed are contained in extensions_build_config.bzl. Use the following procedure to customize the extensions for your build:

  • The Envoy build assumes that a Bazel repository named @envoy_build_config exists which contains the file @envoy_build_config//:extensions_build_config.bzl. In the default build, a synthetic repository is created containing extensions_build_config.bzl. Thus, the default build has all extensions.
  • Start by creating a new Bazel workspace somewhere in the filesystem that your build can access. This workspace should contain:
    • Empty WORKSPACE file.
    • Empty BUILD file.
    • A copy of extensions_build_config.bzl.
    • Comment out any extensions that you don't want to build in your file copy.

To have your local build use your overridden configuration repository there are two options:

  1. Use the --override_repository CLI option to override the @envoy_build_config repo.
  2. Use the following snippet in your WORKSPACE before you load the Envoy repository. E.g.,
workspace(name = "envoy")

local_repository(
    name = "envoy_build_config",
    # Relative paths are also supported.
    path = "/somewhere/on/filesystem/envoy_build_config",
)

local_repository(
    name = "envoy",
    # Relative paths are also supported.
    path = "/somewhere/on/filesystem/envoy",
)

...

Stats Tunables

The default maximum number of stats in shared memory, and the default maximum length of a cluster/route config/listener name, can be overridden at compile-time by defining ENVOY_DEFAULT_MAX_STATS and ENVOY_DEFAULT_MAX_OBJ_NAME_LENGTH, respectively, to the desired value. For example:

bazel build --copts=-DENVOY_DEFAULT_MAX_STATS=32768 --copts=-DENVOY_DEFAULT_MAX_OBJ_NAME_LENGTH=150 //source/exe:envoy-static

Release builds

Release builds should be built in opt mode, processed with strip and have a .note.gnu.build-id section with the Git SHA1 at which the build took place. They should also ignore any local .bazelrc for reproducibility. This can be achieved with:

bazel --bazelrc=/dev/null build -c opt //source/exe:envoy-static.stripped.stamped

One caveat to note is that the Git SHA1 is truncated to 16 bytes today as a result of the workaround in place for https://github.com/bazelbuild/bazel/issues/2805.

Coverage builds

To generate coverage results, make sure you have gcovr 3.3 in your PATH (or set GCOVR to point at it) and are using a GCC toolchain (clang does not work currently, see https://github.com/envoyproxy/envoy/issues/1000). Then run:

test/run_envoy_bazel_coverage.sh

The summary results are printed to the standard output and the full coverage report is available in generated/coverage/coverage.html.

Coverage for every PR is available in Circle in the "artifacts" tab of the coverage job. You will need to navigate down and open "coverage.html" but then you can navigate per normal. NOTE: We have seen some issues with seeing the artifacts tab. If you can't see it, log out of Circle, and then log back in and it should start working.

The latest coverage report for master is available here.

It's also possible to specialize the coverage build to a single test target. This is useful when doing things like exploring the coverage of a fuzzer over its corpus. This can be done with the COVERAGE_TARGET and VALIDATE_COVERAGE environment variables, e.g.:

COVERAGE_TARGET=//test/common/common:base64_fuzz_test VALIDATE_COVERAGE=false test/run_envoy_bazel_coverage.sh

Cleaning the build and test artifacts

bazel clean will nuke all the build/test artifacts from the Bazel cache for Envoy proper. To remove the artifacts for the external dependencies run bazel clean --expunge.

If something goes really wrong and none of the above work to resolve a stale build issue, you can always remove your Bazel cache completely. It is likely located in ~/.cache/bazel.

Adding or maintaining Envoy build rules

See the developer guide for writing Envoy Bazel rules.

Bazel performance on (virtual) machines with low resources

If the (virtual) machine that is performing the build is low on memory or CPU resources, you can override Bazel's default job parallelism determination with --jobs=N to restrict the build to at most N simultaneous jobs, e.g.:

bazel build --jobs=2 //source/...

Debugging the Bazel build

When trying to understand what Bazel is doing, the -s and --explain options are useful. To have Bazel provide verbose output on which commands it is executing:

bazel build -s //source/...

To have Bazel emit to a text file the rationale for rebuilding a target:

bazel build --explain=file.txt //source/...

To get more verbose explanations:

bazel build --explain=file.txt --verbose_explanations //source/...

Resolving paths in bazel build output

Sometimes it's useful to see real system paths in bazel error message output (vs. symbolic links). tools/path_fix.sh is provided to help with this. See the comments in that file.

Compilation database

Run tools/gen_compilation_database.py to generate a JSON Compilation Database. This could be used with any tools (e.g. clang-tidy) compatible with the format.

The compilation database could also be used to setup editors with cross reference, code completion. For example, you can use You Complete Me or cquery with supported editors.