| commit | 95d02410a2383b88fbfa8a578c526d746b502cac | [log] [tgz] |
|---|---|---|
| author | Chengyuan Zhang <chengyuanzhang@google.com> | Thu Jun 20 10:42:28 2019 -0700 |
| committer | GitHub <noreply@github.com> | Thu Jun 20 10:42:28 2019 -0700 |
| tree | 8453ad9f423f49e114a174561fb4fac28ff7505f | |
| parent | 29cb7c4dd4227999b34cd7dec7490c160d8912bf [diff] |
xds: redesign client load recording and backend metrics receiving interface (#5903) * Redefined StatsStore interface. - Removed interface method StatsStore#interceptPickResult and implementation do not take the resposibility intercepting PickResult with locality-level load recording. - Introduce a wrapper class for SubchannelPicker to let users wrap SubchannelPicker by themselves, with client side load recording logic. - Associate the corresponding locality counter with child helper when it is created, child helper will intercept the SubchannelPicker it creates. * Renamed backend metrics listener class to be more abstract, hides the implementation detail of doing locality-level aggregation. * Integrate client load recording and backend metrics recording with xDS load balancer. - Created LoadRecordingSubchannelPicker class for applying XdsClientLoadRecorder that records client load to PickResult. - Created MetricsObservingSubchannel class for applying OrcaReportingTracerFactory that takes listener to receive ORCA reports to PickResult. - In xDS load balancer LocalityStore, the original picker is wrapped two layers inside the above wrappers. * Renamed XdsClientLoadRecorder to ClientLoadRecorder. It should only be used for testing, xDS load balancer should use SubchannelPicker wrappers instead of this load recorder directly. * Removed redudent layer of wrapping for SubchannelPicker in LocalityStore * Added toString for SubchannelPicker wrapper classes. * Rename ClientLoadRecorder to LoadRecordingStreamTracerFactory. * Renamed StreamInstrumentedSubchannelPicker to TracerWrappingSubchannelPicker. * Eliminate duplicated code in LocalityStoreTest, put them into a loop.
gRPC-Java works with JDK 7. gRPC-Java clients are supported on Android API levels 14 and up (Ice Cream Sandwich and later). Deploying gRPC servers on an Android device is not supported.
TLS usage typically requires using Java 8, or Play Services Dynamic Security Provider on Android. Please see the Security Readme.
For a guided tour, take a look at the quick start guide or the more explanatory gRPC basics.
The examples and the Android example are standalone projects that showcase the usage of gRPC.
Download the JARs. Or for Maven with non-Android, add to your pom.xml:
<dependency> <groupId>io.grpc</groupId> <artifactId>grpc-netty-shaded</artifactId> <version>1.21.0</version> </dependency> <dependency> <groupId>io.grpc</groupId> <artifactId>grpc-protobuf</artifactId> <version>1.21.0</version> </dependency> <dependency> <groupId>io.grpc</groupId> <artifactId>grpc-stub</artifactId> <version>1.21.0</version> </dependency>
Or for Gradle with non-Android, add to your dependencies:
compile 'io.grpc:grpc-netty-shaded:1.21.0' compile 'io.grpc:grpc-protobuf:1.21.0' compile 'io.grpc:grpc-stub:1.21.0'
For Android client, use grpc-okhttp instead of grpc-netty-shaded and grpc-protobuf-lite instead of grpc-protobuf:
compile 'io.grpc:grpc-okhttp:1.21.0' compile 'io.grpc:grpc-protobuf-lite:1.21.0' compile 'io.grpc:grpc-stub:1.21.0'
Development snapshots are available in Sonatypes's snapshot repository.
For protobuf-based codegen, you can put your proto files in the src/main/proto and src/test/proto directories along with an appropriate plugin.
For protobuf-based codegen integrated with the Maven build system, you can use protobuf-maven-plugin (Eclipse and NetBeans users should also look at os-maven-plugin's IDE documentation):
<build> <extensions> <extension> <groupId>kr.motd.maven</groupId> <artifactId>os-maven-plugin</artifactId> <version>1.5.0.Final</version> </extension> </extensions> <plugins> <plugin> <groupId>org.xolstice.maven.plugins</groupId> <artifactId>protobuf-maven-plugin</artifactId> <version>0.5.1</version> <configuration> <protocArtifact>com.google.protobuf:protoc:3.7.1:exe:${os.detected.classifier}</protocArtifact> <pluginId>grpc-java</pluginId> <pluginArtifact>io.grpc:protoc-gen-grpc-java:1.21.0:exe:${os.detected.classifier}</pluginArtifact> </configuration> <executions> <execution> <goals> <goal>compile</goal> <goal>compile-custom</goal> </goals> </execution> </executions> </plugin> </plugins> </build>
For protobuf-based codegen integrated with the Gradle build system, you can use protobuf-gradle-plugin:
apply plugin: 'com.google.protobuf' buildscript { repositories { mavenCentral() } dependencies { classpath 'com.google.protobuf:protobuf-gradle-plugin:0.8.8' } } protobuf { protoc { artifact = "com.google.protobuf:protoc:3.7.1" } plugins { grpc { artifact = 'io.grpc:protoc-gen-grpc-java:1.21.0' } } generateProtoTasks { all()*.plugins { grpc {} } } }
The prebuilt protoc-gen-grpc-java binary uses glibc on Linux. If you are compiling on Alpine Linux, you may want to use the Alpine grpc-java package which uses musl instead.
APIs annotated with @Internal are for internal use by the gRPC library and should not be used by gRPC users. APIs annotated with @ExperimentalApi are subject to change in future releases, and library code that other projects may depend on should not use these APIs.
We recommend using the grpc-java-api-checker (an Error Prone plugin) to check for usages of @ExperimentalApi and @Internal in any library code that depends on gRPC. It may also be used to check for @Internal usage or unintended @ExperimentalApi consumption in non-library code.
If you are making changes to gRPC-Java, see the compiling instructions.
At a high level there are three distinct layers to the library: Stub, Channel, and Transport.
The Stub layer is what is exposed to most developers and provides type-safe bindings to whatever datamodel/IDL/interface you are adapting. gRPC comes with a plugin to the protocol-buffers compiler that generates Stub interfaces out of .proto files, but bindings to other datamodel/IDL are easy and encouraged.
The Channel layer is an abstraction over Transport handling that is suitable for interception/decoration and exposes more behavior to the application than the Stub layer. It is intended to be easy for application frameworks to use this layer to address cross-cutting concerns such as logging, monitoring, auth, etc.
The Transport layer does the heavy lifting of putting and taking bytes off the wire. The interfaces to it are abstract just enough to allow plugging in of different implementations. Note the transport layer API is considered internal to gRPC and has weaker API guarantees than the core API under package io.grpc.
gRPC comes with three Transport implementations: