Valkey General Language Independent Driver for the Enterprise (GLIDE), is an open-source Valkey client library. Valkey GLIDE is one of the official client libraries for Valkey, and it supports all Valkey commands. Valkey GLIDE supports Valkey 7.2 and above, and Redis open-source 6.2, 7.0 and 7.2. Application programmers use Valkey GLIDE to safely and reliably connect their applications to Valkey- and Redis OSS- compatible services. Valkey GLIDE is designed for reliability, optimized performance, and high-availability, for Valkey and Redis OSS based applications. It is sponsored and supported by AWS, and is pre-configured with best practices learned from over a decade of operating Redis OSS-compatible services used by hundreds of thousands of customers. To help ensure consistency in application development and operations, Valkey GLIDE is implemented using a core driver framework, written in Rust, with language specific extensions. This design ensures consistency in features across languages and reduces overall complexity.
The release of Valkey GLIDE was tested on the following platforms:
Linux:
- Ubuntu 22.04.1 (x86_64)
- Amazon Linux 2023 (AL2023) (x86_64)
macOS:
- macOS 12.7 (Apple silicon/aarch_64 and Intel/x86_64)
The Java client contains the following parts:
src
: Rust dynamic library FFI to integrate with GLIDE core library.client
: A Java-wrapper around the GLIDE core rust library and unit tests for it.benchmark
: A dedicated benchmarking tool designed to evaluate and compare the performance of Valkey GLIDE and other Java clients.integTest
: An integration test sub-project for API and E2E testing.
An example app (called glide.examples.ExamplesApp) is also available under examples app, to sanity check the project.
Refer to the Supported Engine Versions table for details.
For developers, please refer to Java's DEVELOPER.md for further instruction on how to set up your development environment.
Java Requirements
Minimum requirements: JDK 11 or later. Ensure that you have a minimum Java version of JDK 11 installed on your system:
echo $JAVA_HOME
java -version
Refer to https://central.sonatype.com/artifact/io.valkey/valkey-glide. Once set up, you can run the basic examples.
Additionally, consider installing the Gradle plugin, OS Detector to help you determine what classifier to use.
There are 4 types of classifiers for Valkey GLIDE which are
osx-aarch_64
osx-x86_64
linux-aarch_64
linux-x86_64
Gradle:
- Copy the snippet and paste it in the
build.gradle
dependencies section. - IMPORTANT must include a
classifier
to specify your platform.
// osx-aarch_64
dependencies {
implementation group: 'io.valkey', name: 'valkey-glide', version: '1.+', classifier: 'osx-aarch_64'
}
// osx-x86_64
dependencies {
implementation group: 'io.valkey', name: 'valkey-glide', version: '1.+', classifier: 'osx-x86_64'
}
// linux-aarch_64
dependencies {
implementation group: 'io.valkey', name: 'valkey-glide', version: '1.+', classifier: 'linux-aarch_64'
}
// linux-x86_64
dependencies {
implementation group: 'io.valkey', name: 'valkey-glide', version: '1.+', classifier: 'linux-x86_64'
}
// with osdetector
plugins {
id "com.google.osdetector" version "1.7.3"
}
dependencies {
implementation group: 'io.valkey', name: 'valkey-glide', version: '1.+', classifier: osdetector.classifier
}
Maven:
- IMPORTANT must include a
classifier
. Please use this dependency block and add it to the pom.xml file.
<!--osx-aarch_64-->
<dependency>
<groupId>io.valkey</groupId>
<artifactId>valkey-glide</artifactId>
<classifier>osx-aarch_64</classifier>
<version>[1.0.0,2.0.0)</version>
</dependency>
<!--osx-x86_64-->
<dependency>
<groupId>io.valkey</groupId>
<artifactId>valkey-glide</artifactId>
<classifier>osx-x86_64</classifier>
<version>[1.0.0,2.0.0)</version>
</dependency>
<!--linux-aarch_64-->
<dependency>
<groupId>io.valkey</groupId>
<artifactId>valkey-glide</artifactId>
<classifier>linux-aarch_64</classifier>
<version>[1.0.0,2.0.0)</version>
</dependency>
<!--linux-x86_64-->
<dependency>
<groupId>io.valkey</groupId>
<artifactId>valkey-glide</artifactId>
<classifier>linux-x86_64</classifier>
<version>[1.0.0,2.0.0)</version>
</dependency>
SBT:
- IMPORTANT must include a
classifier
. Please use this dependency block and add it to the build.sbt file.
// osx-aarch_64
libraryDependencies += "io.valkey" % "valkey-glide" % "1.+" classifier "osx-aarch_64"
// osx-x86_64
libraryDependencies += "io.valkey" % "valkey-glide" % "1.+" classifier "osx-x86_64"
// linux-aarch_64
libraryDependencies += "io.valkey" % "valkey-glide" % "1.+" classifier "linux-aarch_64"
// linux-x86_64
libraryDependencies += "io.valkey" % "valkey-glide" % "1.+" classifier "linux-x86_64"
To use Valkey GLIDE in a Java project with modules, include a module-info.java in your project.
For example, if your program is called App
, you can follow this path
app/src/main/java/module-info.java
and inside the module it will specifically require the line
requires glide.api;
For example, if your project has a module called playground, it would look like this
module playground {
requires glide.api;
}
// You can run this example code in Main.java.
import glide.api.GlideClient;
import glide.api.models.configuration.NodeAddress;
import glide.api.models.configuration.GlideClientConfiguration;
import java.util.concurrent.ExecutionException;
import static glide.api.models.GlideString.gs;
public class Main {
public static void main(String[] args) {
runGlideExamples();
}
private static void runGlideExamples() {
String host = "localhost";
Integer port = 6379;
boolean useSsl = false;
GlideClientConfiguration config =
GlideClientConfiguration.builder()
.address(NodeAddress.builder().host(host).port(port).build())
.useTLS(useSsl)
.build();
try (GlideClient client = GlideClient.createClient(config).get()) {
System.out.println("PING: " + client.ping(gs("PING")).get());
System.out.println("PING(found you): " + client.ping( gs("found you")).get());
System.out.println("SET(apples, oranges): " + client.set(gs("apples"), gs("oranges")).get());
System.out.println("GET(apples): " + client.get(gs("apples")).get());
} catch (ExecutionException | InterruptedException e) {
System.out.println("Glide example failed with an exception: ");
e.printStackTrace();
}
}
}
// You can run this example code in Main.java.
import glide.api.GlideClusterClient;
import glide.api.models.configuration.NodeAddress;
import glide.api.models.configuration.GlideClusterClientConfiguration;
import glide.api.models.configuration.RequestRoutingConfiguration;
import java.util.concurrent.ExecutionException;
import static glide.api.models.GlideString.gs;
public class Main {
public static void main(String[] args) {
runGlideExamples();
}
private static void runGlideExamples() {
String host = "localhost";
Integer port1 = 7001;
Integer port2 = 7002;
Integer port3 = 7003;
Integer port4 = 7004;
Integer port5 = 7005;
Integer port6 = 7006;
boolean useSsl = false;
GlideClusterClientConfiguration config =
GlideClusterClientConfiguration.builder()
.address(NodeAddress.builder().host(host).port(port1).port(port2).port(port3).port(port4).port(port5).port(port6).build())
.useTLS(useSsl)
.build();
try (GlideClusterClient client = GlideClusterClient.createClient(config).get()) {
System.out.println("PING: " + client.ping(gs("PING")).get());
System.out.println("PING(found you): " + client.ping( gs("found you")).get());
System.out.println("SET(apples, oranges): " + client.set(gs("apples"), gs("oranges")).get());
System.out.println("GET(apples): " + client.get(gs("apples")).get());
} catch (ExecutionException | InterruptedException e) {
System.out.println("Glide example failed with an exception: ");
e.printStackTrace();
}
}
}
See our Scala and Kotlin examples to learn how to use Valkey GLIDE in Scala and Kotlin projects.
For more examples, you can refer to the test folder unit tests and integration tests.
You can run benchmarks using ./gradlew run
. You can set arguments using the args flag like:
Returns the command help output
./gradlew run --args="--help"
Runs all benchmark clients against a local instance with TLS enabled using data sizing 100 and 1000 bytes, 10 and 100 concurrent tasks, 1 and 5 parallel clients.
./gradlew run --args="--resultsFile=output --dataSize \"100 1000\" --concurrentTasks \"10 100\" --clients all --host localhost --port 6279 --clientCount \"1 5\" --tls"
Runs GLIDE client against a local cluster instance on port 52756 using data sizing 4000 bytes, and 1000 concurrent tasks.
./gradlew run --args="--resultsFile=output --dataSize \"4000\" --concurrentTasks \"1000\" --clients glide --host 127.0.0.1 --port 52746 --clusterModeEnabled"
The following arguments are accepted:
resultsFile
: the results output fileconcurrentTasks
: number of concurrent tasksclients
: one of: all|jedis|lettuce|glideclientCount
: client counthost
: Valkey server host urlport
: Valkey server port numbertls
: Valkey TLS configured