我正在使用gcr.io/cloud-builders/bazel在Google Container Build上构建我的图像。
从日志中，似乎大部分时间都花费大部分时间为巴泽尔建立工作区。这个工作空间不会随着构建而变化，因此我认为可以预先计算并存储在新图像中。
如何在Google Cloud Platform上加快这些Bazel的加快？
Already have image (with digest): gcr.io/cloud-builders/bazel
Extracting Bazel installation...
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WARNING: /builder/home/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/io_bazel_rules_go/go/def.bzl:137:3: DEPRECATED: com_github_golang_protobuf : new_go_repository is deprecated. Please migrate to go_repository soon.
WARNING: /builder/home/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/io_bazel_rules_go/go/def.bzl:137:3: DEPRECATED: com_github_golang_glog : new_go_repository is deprecated. Please migrate to go_repository soon.
WARNING: /builder/home/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/io_bazel_rules_go/go/def.bzl:137:3: DEPRECATED: org_golang_google_grpc : new_go_repository is deprecated. Please migrate to go_repository soon.
WARNING: /builder/home/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/io_bazel_rules_go/go/def.bzl:137:3: DEPRECATED: org_golang_x_net : new_go_repository is deprecated. Please migrate to go_repository soon.
WARNING: /builder/home/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/io_bazel_rules_go/go/def.bzl:137:3: DEPRECATED: com_github_gogo_protobuf : new_go_repository is deprecated. Please migrate to go_repository soon.
WARNING: /builder/home/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/io_bazel_rules_go/go/def.bzl:137:3: DEPRECATED: com_github_grpc_ecosystem_grpc_gateway : new_go_repository is deprecated. Please migrate to go_repository soon.
WARNING: /builder/home/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/io_bazel_rules_go/go/def.bzl:137:3: DEPRECATED: org_golang_google_genproto : new_go_repository is deprecated. Please migrate to go_repository soon.
Analyzing: target //:docker (4 packages loaded)
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Analyzing: target //:docker (78 packages loaded)
Analyzing: target //:docker (79 packages loaded)
Analyzing: target //:docker (79 packages loaded)
Analyzing: target //:docker (80 packages loaded)
Analyzing: target //:docker (160 packages loaded)
Analyzing: target //:docker (160 packages loaded)
Analyzing: target //:docker (160 packages loaded)
Analyzing: target //:docker (160 packages loaded)
Analyzing: target //:docker (174 packages loaded)
Analyzing: target //:docker (174 packages loaded)
Analyzing: target //:docker (211 packages loaded)
INFO: Analysed target //:docker (286 packages loaded).
INFO: Found 1 target...
[0 / 1] BazelWorkspaceStatusAction stable-status.txt
[17 / 19] SHA256 external/golang/image/002.tar.gz.nogz.sha256
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[168 / 407] Compiling external/com_github_google_protobuf/src/google/protobuf/compiler/csharp/csharp_message_field.cc [for host]; 0s linux-sandbox
[200 / 439] Compiling external/com_github_google_protobuf/src/google/protobuf/extension_set.cc [for host]; 1s linux-sandbox
INFO: From ProtoCompile assets/assets/assets.pb.gw.go:
assets/assets/assets.proto: warning: Import recipes.proto but not used.
INFO: From ProtoCompile assets/assets/assets.swagger.json:
assets/assets/assets.proto: warning: Import recipes.proto but not used.
INFO: From ProtoCompile assets/assets/assets.pb.go:
assets/assets/assets.proto: warning: Import recipes.proto but not used.
[522 / 697] GoCompile vendor/github.com/gorilla/mux/~lib~/go_default_library.o; 0s linux-sandbox
Target //:docker up-to-date:
bazel-bin/docker-layer.tar
INFO: Elapsed time: 331.343s, Critical Path: 13.73s
INFO: Build completed successfully, 737 total actions
编辑：添加CloudBuild文件
cloudbuild.yaml：
steps:
- name: gcr.io/cloud-builders/bazel
args: ['run', '//:docker']
- name: gcr.io/cloud-builders/docker
args: ['tag', 'bazel:docker', '${_IMAGE_TAG}']
images: ['${_IMAGE_TAG}']
容器构建器目前不提供它作为内置的，但您可以自己做。
- 将一个或多个
volumes添加到构建步骤中，该步骤输出您要在以后的构建中还原的信息。（请参阅有关卷的文档。） - 如有必要，请修改这些构建步骤，以输出要保存到卷提供的路径的数据。
- 在随后的构建步骤中，使用
gsutil构建步骤将卷中的所有数据保存到GCS存储桶中。（如果您愿意，您当然可以使用其他一些实用程序将其保存到其他地方。）
在后来的构建中，使用gsutil将数据还原到所需的卷，然后将卷安装到后续的构建步骤中。
现在使用Bazel Remote Caching有一种更简单的方法。
创建一个云存储桶，然后在.bazelrc中设置以下内容：
build --remote_cache=https://storage.googleapis.com/<your bucket name>
build --google_default_credentials
Bazel将在您的云存储存储桶中自动缓存操作，并且它们在构建之间持续存在。您可以在储物桶上设置自动生命周期管理，以删除一定天后的操作。