Top Related Projects
The official AWS SDK for Java 1.x (In Maintenance Mode, End-of-Life on 12/31/2025). The AWS SDK for Java 2.x is available here: https://github.com/aws/aws-sdk-java-v2/
Apache Pulsar - distributed pub-sub messaging system
Mirror of Apache Kafka
Apache Hadoop
Quick Overview
The googleapis/google-cloud-java
repository is a collection of Java client libraries for accessing various Google Cloud services, such as Cloud Storage, Datastore, Pub/Sub, and more. These libraries provide a convenient and idiomatic way for Java developers to interact with Google Cloud Platform (GCP) services.
Pros
- Comprehensive Coverage: The repository covers a wide range of Google Cloud services, allowing developers to easily integrate their Java applications with various GCP offerings.
- Idiomatic API: The libraries provide a Java-friendly API that closely matches the underlying GCP services, making it easier for developers to understand and use.
- Active Development: The project is actively maintained by the Google Cloud team, with regular updates and improvements to the libraries.
- Extensive Documentation: The project comes with detailed documentation, including usage examples and best practices, which can help developers get started quickly.
Cons
- Dependency Management: Depending on the number of GCP services used, the project can introduce a significant number of dependencies, which may complicate project setup and management.
- Learning Curve: Developers new to GCP may need to invest time in understanding the various services and how to effectively use the corresponding Java libraries.
- Limited Flexibility: The libraries are tightly coupled with the underlying GCP services, which may limit the ability to customize or extend the functionality beyond what is provided by the libraries.
- Performance Concerns: Depending on the specific use case and the volume of data being processed, the overhead introduced by the libraries may impact the overall performance of the application.
Code Examples
Here are a few code examples demonstrating the usage of the google-cloud-java
libraries:
Cloud Storage Example
// Import the necessary classes
import com.google.cloud.storage.Blob;
import com.google.cloud.storage.BlobId;
import com.google.cloud.storage.Storage;
import com.google.cloud.storage.StorageOptions;
public class CloudStorageExample {
public static void main(String[] args) {
// Create a Storage client
Storage storage = StorageOptions.getDefaultInstance().getService();
// Upload a file to a Google Cloud Storage bucket
BlobId blobId = BlobId.of("my-bucket", "file.txt");
Blob blob = storage.create(BlobId.of("my-bucket", "file.txt"), "Hello, Cloud Storage!".getBytes());
System.out.println("File uploaded: " + blob.getMediaLink());
}
}
This example demonstrates how to use the google-cloud-storage
library to upload a file to a Google Cloud Storage bucket.
Datastore Example
// Import the necessary classes
import com.google.cloud.datastore.Datastore;
import com.google.cloud.datastore.DatastoreOptions;
import com.google.cloud.datastore.Entity;
import com.google.cloud.datastore.Key;
public class DatastoreExample {
public static void main(String[] args) {
// Create a Datastore client
Datastore datastore = DatastoreOptions.getDefaultInstance().getService();
// Create a new entity in Datastore
Key taskKey = datastore.newKeyFactory().setKind("Task").newKey("task1");
Entity task = Entity.newBuilder(taskKey)
.set("description", "Buy milk")
.set("done", false)
.build();
datastore.put(task);
System.out.println("Entity created: " + task.getKey().getName());
}
}
This example demonstrates how to use the google-cloud-datastore
library to create a new entity in Google Cloud Datastore.
Pub/Sub Example
// Import the necessary classes
import com.google.cloud.pubsub.v1.Publisher;
import com.google.cloud.pubsub.v1.SubscriptionAdminClient;
import com.google.protobuf.ByteString;
import com.google.pubsub.v1.PubsubMessage;
import com.google.pubsub.v1.TopicName;
public class PubSubExample {
public static void main(String[] args) {
// Create a Pub
Competitor Comparisons
The official AWS SDK for Java 1.x (In Maintenance Mode, End-of-Life on 12/31/2025). The AWS SDK for Java 2.x is available here: https://github.com/aws/aws-sdk-java-v2/
Pros of aws-sdk-java
- More comprehensive coverage of AWS services
- Longer history and larger community support
- Better documentation and extensive examples
Cons of aws-sdk-java
- Larger library size, potentially increasing application footprint
- More complex API structure, steeper learning curve
- Slower release cycle for new features compared to google-cloud-java
Code Comparison
aws-sdk-java:
AmazonS3 s3Client = AmazonS3ClientBuilder.standard()
.withRegion(Regions.US_WEST_2)
.build();
s3Client.putObject(bucketName, key, content);
google-cloud-java:
Storage storage = StorageOptions.getDefaultInstance().getService();
BlobId blobId = BlobId.of(bucketName, objectName);
BlobInfo blobInfo = BlobInfo.newBuilder(blobId).setContentType("text/plain").build();
storage.create(blobInfo, content.getBytes(UTF_8));
Both SDKs provide similar functionality for interacting with their respective cloud services. The aws-sdk-java tends to have more verbose method names and requires explicit client creation, while google-cloud-java often uses a more concise, fluent API style. The google-cloud-java example demonstrates a more straightforward approach to creating and uploading objects, whereas the aws-sdk-java example requires separate steps for client initialization and object creation.
Apache Pulsar - distributed pub-sub messaging system
Pros of Pulsar
- Open-source, community-driven project with Apache governance
- Supports multi-tenancy and geo-replication out of the box
- Offers both streaming and queuing messaging models
Cons of Pulsar
- Steeper learning curve compared to Google Cloud Java client libraries
- Less integrated with Google Cloud ecosystem and services
- May require more setup and configuration for basic use cases
Code Comparison
Pulsar producer example:
PulsarClient client = PulsarClient.builder()
.serviceUrl("pulsar://localhost:6650")
.build();
Producer<byte[]> producer = client.newProducer()
.topic("my-topic")
.create();
producer.send("Hello, Pulsar!".getBytes());
Google Cloud Pub/Sub example:
TopicName topicName = TopicName.of("my-project", "my-topic");
Publisher publisher = Publisher.newBuilder(topicName).build();
ByteString data = ByteString.copyFromUtf8("Hello, Pub/Sub!");
PubsubMessage pubsubMessage = PubsubMessage.newBuilder().setData(data).build();
publisher.publish(pubsubMessage);
Both repositories provide client libraries for messaging systems, but they serve different purposes. Pulsar is a standalone messaging and streaming platform, while google-cloud-java offers client libraries for various Google Cloud services, including Pub/Sub for messaging. The choice between them depends on specific project requirements and infrastructure preferences.
Mirror of Apache Kafka
Pros of Kafka
- Highly scalable and distributed streaming platform
- Supports real-time data processing and event-driven architectures
- Large and active open-source community
Cons of Kafka
- Steeper learning curve and more complex setup
- Requires additional infrastructure management
- May be overkill for simpler messaging needs
Code Comparison
Kafka producer example:
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
Producer<String, String> producer = new KafkaProducer<>(props);
Google Cloud Pub/Sub publisher example:
TopicName topicName = TopicName.of("project-id", "topic-id");
Publisher publisher = Publisher.newBuilder(topicName).build();
ByteString data = ByteString.copyFromUtf8("Hello, Pub/Sub!");
PubsubMessage pubsubMessage = PubsubMessage.newBuilder().setData(data).build();
publisher.publish(pubsubMessage);
Both repositories provide Java client libraries for their respective messaging systems. Kafka offers a more comprehensive distributed streaming platform, while Google Cloud Java focuses on integration with various Google Cloud services, including Pub/Sub for messaging. The choice between them depends on specific project requirements, existing infrastructure, and scalability needs.
Apache Hadoop
Pros of Hadoop
- Open-source and community-driven development
- Extensive ecosystem with many related projects (e.g., Hive, HBase, Spark)
- Designed for large-scale distributed processing and storage
Cons of Hadoop
- Steeper learning curve and more complex setup
- Requires more manual configuration and maintenance
- May be overkill for smaller-scale data processing tasks
Code Comparison
Hadoop (Java MapReduce example):
public class WordCount extends Configured implements Tool {
public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
// ... (mapper implementation)
}
// ... (reducer and main method)
}
Google Cloud Java (BigQuery example):
TableResult result = bigquery.query(QueryJobConfiguration.newBuilder(
"SELECT word, COUNT(*) as count FROM my_dataset.my_table GROUP BY word")
.setUseLegacySql(false)
.build());
for (FieldValueList row : result.iterateAll()) {
String word = row.get("word").getStringValue();
long count = row.get("count").getLongValue();
System.out.printf("%s: %d%n", word, count);
}
The Hadoop example shows a typical MapReduce job structure, while the Google Cloud Java example demonstrates a simpler BigQuery operation. Hadoop offers more control over the distributed processing, while Google Cloud Java provides a higher-level abstraction for cloud-based data operations.
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Google Cloud Java Client Libraries
Java idiomatic client for Google Cloud Platform services.
Documentation
See the official guide to get setup and started with development.
Supported APIs
Libraries are available on GitHub and Maven Central for developing Java applications that interact with individual Google Cloud services:
If the service is not listed, google-api-java-client interfaces with additional Google Cloud APIs using a legacy REST interface.
When building Java applications, preference should be given to the libraries listed in the table.
Testing
This library provides tools to help write tests for code that uses google-cloud services.
See TESTING to read more about using our testing helpers.
Versioning
This library follows Semantic Versioning, with some additional qualifications:
-
Components marked with
@BetaApi
or@Experimental
are considered to be "0.x" features inside a "1.x" library. This means they can change between minor and patch releases in incompatible ways. These features should not be used by any library "B" that itself has consumers, unless the components of library B that use@BetaApi
features are also marked with@BetaApi
. Features marked as@BetaApi
are on a path to eventually become "1.x" features with the marker removed.Special exception for google-cloud-java: google-cloud-java is allowed to depend on
@BetaApi
features in gax-java without declaring the consuming code@BetaApi
, because gax-java and google-cloud-java move in step with each other. For this reason, gax-java should not be used independently of google-cloud-java. -
Components marked with
@InternalApi
are technically public, but only because of the limitations of Java's access modifiers. For the purposes of semver, they should be considered private. -
Interfaces marked with
@InternalExtensionOnly
are public, but should only be implemented by internal classes. For the purposes of semver, we reserve the right to add to these interfaces without default implementations (for Java 7).
Please note these clients are currently under active development. Any release versioned 0.x.y is subject to backwards incompatible changes at any time.
Stable
Libraries defined at a Stable quality level are expected to be stable and all updates in the libraries are guaranteed to be backwards-compatible. Any backwards-incompatible changes will lead to the major version increment (1.x.y -> 2.0.0).
Preview
Libraries defined at a Preview quality level are still a work-in-progress and are more likely to get backwards-incompatible updates. Additionally, it's possible for Preview libraries to get deprecated and deleted before ever being promoted to Preview or Stable.
IDE Plugins
If you're using IntelliJ or Eclipse, you can add client libraries to your project using these IDE plugins:
Besides adding client libraries, the plugins provide additional functionality, such as service account key management. Refer to the documentation for each plugin for more details.
These client libraries can be used on App Engine standard for Java 8 runtime and App Engine flexible (including the Compat runtime). Most of the libraries do not work on the App Engine standard for Java 7 runtime. However, Datastore, Storage, and Bigquery should work.
Contributing
See CONTRIBUTING.md.
License
Apache 2.0 - See LICENSE for more information.
Top Related Projects
The official AWS SDK for Java 1.x (In Maintenance Mode, End-of-Life on 12/31/2025). The AWS SDK for Java 2.x is available here: https://github.com/aws/aws-sdk-java-v2/
Apache Pulsar - distributed pub-sub messaging system
Mirror of Apache Kafka
Apache Hadoop
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot