xds: Fix build break between LEDS and EDS duplicate address check (#13174) #13127 added a check in `XdsEndpointResource` that rejects a `ClusterLoadAssignment` with duplicate endpoint addresses. It iterates `LocalityLbEndpoints.endpoints()`, which #13055 (gRFC A95) replaced with a nullable `endpointCollection()`, because localities that use LEDS have no inlined endpoints. #13055 was open for about a month with passing CI, and #13127 and #13142 were opened and merged in the meantime. #13055 got no new commits after that, so its old CI run still counted when it was approved and merged. It was never tested on top of #13127 and #13142, and master is now broken. **Fix** Run the duplicate address check only for localities with inlined endpoints. Endpoints of LEDS-backed localities arrive later in separate `LbEndpointCollection` resources and are not visible while parsing EDS. Behavior is unchanged when A95 support is disabled, since every locality then has inlined endpoints. Duplicate detection for endpoints delivered via LEDS is not addressed here. Also fix a `CdsLoadBalancer2Test` case added in #13055, `edsCluster_ledsCollectionAbsentFromConfig_localityUnreachable`. #13142 changed `CdsLoadBalancer2` to report "No usable endpoint" through `fail()`, which installs a `TRANSIENT_FAILURE` picker and returns `OK`, but the test still expected `acceptResolvedAddresses()` to return `UNAVAILABLE`. It now checks the `TRANSIENT_FAILURE` picker, as the neighboring `edsCluster_ledsCollectionNotFound_localityUnreachable` test does.
gRPC-Java supports Java 8 and later. Android minSdkVersion 24 (Nougat) and later are supported with Java 8 language desugaring.
TLS usage on Android typically requires Play Services Dynamic Security Provider. Please see the Security Readme.
Older Java versions are not directly supported, but a branch remains available for fixes and releases. See gRFC P5 JDK Version Support Policy.
| Java version | gRPC Branch |
|---|---|
| 7 | 1.41.x |
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>1.85.0</version> <scope>runtime</scope> </dependency> <dependency> <groupId>io.grpc</groupId> <artifactId>grpc-protobuf</artifactId> <version>1.85.0</version> </dependency> <dependency> <groupId>io.grpc</groupId> <artifactId>grpc-stub</artifactId> <version>1.85.0</version> </dependency>
Or for Gradle with non-Android, add to your dependencies:
runtimeOnly 'io.grpc:grpc-netty-shaded:1.85.0' implementation 'io.grpc:grpc-protobuf:1.85.0' implementation 'io.grpc:grpc-stub:1.85.0'
For Android client, use grpc-okhttp instead of grpc-netty-shaded and grpc-protobuf-lite instead of grpc-protobuf:
implementation 'io.grpc:grpc-okhttp:1.85.0' implementation 'io.grpc:grpc-protobuf-lite:1.85.0' implementation 'io.grpc:grpc-stub:1.85.0'
For Bazel, you can either use Maven (with the GAVs from above), or use @io_grpc_grpc_java//api et al (see below).
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>1.7.1</version> </extension> </extensions> <plugins> <plugin> <groupId>org.xolstice.maven.plugins</groupId> <artifactId>protobuf-maven-plugin</artifactId> <version>0.6.1</version> <configuration> <protocArtifact>com.google.protobuf:protoc:3.25.9:exe:${os.detected.classifier}</protocArtifact> <pluginId>grpc-java</pluginId> <pluginArtifact>io.grpc:protoc-gen-grpc-java:1.85.0:exe:${os.detected.classifier}</pluginArtifact> </configuration> <executions> <execution> <goals> <goal>compile</goal> <goal>compile-custom</goal> </goals> </execution> </executions> </plugin> </plugins> </build>
For non-Android protobuf-based codegen integrated with the Gradle build system, you can use protobuf-gradle-plugin:
plugins { id 'com.google.protobuf' version '0.9.5' } protobuf { protoc { artifact = "com.google.protobuf:protoc:3.25.9" } plugins { grpc { artifact = 'io.grpc:protoc-gen-grpc-java:1.85.0' } } 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.
For Android protobuf-based codegen integrated with the Gradle build system, also use protobuf-gradle-plugin but specify the ‘lite’ options:
plugins { id 'com.google.protobuf' version '0.9.5' } protobuf { protoc { artifact = "com.google.protobuf:protoc:3.25.9" } plugins { grpc { artifact = 'io.grpc:protoc-gen-grpc-java:1.85.0' } } generateProtoTasks { all().each { task -> task.builtins { java { option 'lite' } } task.plugins { grpc { option 'lite' } } } } }
For Bazel, use the proto_library and the java_proto_library (no load() required) and load("@io_grpc_grpc_java//:java_grpc_library.bzl", "java_grpc_library") (from this project), as in this example BUILD.bazel.
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 multiple Transport implementations: