Skip to content
Branch: master
Find file History
Type Name Latest commit message Commit time
Failed to load latest commit information.
src Release v0.84.0 (#4713) Mar 21, 2019
pom.xml Bump next snapshot (#4715) Mar 22, 2019
synth.metadata Regenerate datastore client (#4566) Feb 26, 2019 Add lint test and format generated code (#4114) Nov 30, 2018

Google Cloud Java Client for Datastore

Java idiomatic client for Google Cloud Datastore.

Kokoro CI Maven Codacy Badge


If you are using Maven, add this to your pom.xml file


If you are using Gradle, add this to your dependencies

compile ''

If you are using SBT, add this to your dependencies

libraryDependencies += "" % "google-cloud-datastore" % "1.66.0"

Example Applications

  • DatastoreExample is a simple command line interface for the Cloud Datastore. Read more about using the application on the DatastoreExample docs page.
  • Bookshelf - An App Engine app that manages a virtual bookshelf.
    • This app uses google-cloud to interface with Cloud Datastore and Cloud Storage. It also uses Cloud SQL, another Google Cloud Platform service.
  • Flexible Environment/Datastore example - A simple app that uses Cloud Datastore to list the last 10 IP addresses that visited your site.
  • GuestBook - An App Engine Standard guestbook that uses Cloud Datastore.
  • SparkDemo - An example of using google-cloud-datastore from within the SparkJava and App Engine Flexible Environment frameworks.
    • Read about how it works on the example's README page.
  • TaskList - A command line application that uses Cloud Datastore to manage a to-do list.
    • Read about how to run the application on its README page.


See the Authentication section in the base directory's README.

About Google Cloud Datastore

Google Cloud Datastore is a fully managed, schemaless database for storing non-relational data. Cloud Datastore automatically scales with your users and supports ACID transactions, high availability of reads and writes, strong consistency for reads and ancestor queries, and eventual consistency for all other queries.

See the Google Cloud Datastore docs for more details on how to activate Cloud Datastore for your project.

See the Datastore client library docs to learn how to interact with the Cloud Datastore using this Client Library.

Getting Started


For this tutorial, you will need a Google Developers Console project with the Datastore API enabled. Follow these instructions to get your project set up. You will also need to set up the local development environment by installing the Google Cloud SDK and running the following commands in command line: gcloud auth login and gcloud config set project [YOUR PROJECT ID].

Installation and setup

You'll need to obtain the google-cloud-datastore library. See the Quickstart section to add google-cloud-datastore as a dependency in your code.

Creating an authorized service object

To make authenticated requests to Google Cloud Datastore, you must create a service object with credentials. You can then make API calls by calling methods on the Datastore service object. The simplest way to authenticate is to use Application Default Credentials. These credentials are automatically inferred from your environment, so you only need the following code to create your service object:


Datastore datastore = DatastoreOptions.getDefaultInstance().getService();

For other authentication options, see the Authentication page.

Storing data

Objects in Datastore are known as entities. Entities are grouped by "kind" and have keys for easy access. In this code snippet, we will create a new entity representing a person and store that data by the person's email. First, add the following imports at the top of your file:


Then add the following code to put an entity in Datastore.

KeyFactory keyFactory = datastore.newKeyFactory().setKind("Person");
Key key = keyFactory.newKey("");
Entity entity = Entity.newBuilder(key)
    .set("name", "John Doe")
    .set("age", 51)
    .set("favorite_food", "pizza")

Later, if you want to get this entity back, add the following to your code:

Entity johnEntity = datastore.get(key);

Running a query

In addition to retrieving entities by their keys, you can perform queries to retrieve entities by the values of their properties. A typical query includes an entity kind, filters to select entities with matching values, and sort orders to sequence the results. google-cloud-datastore supports two types of queries: StructuredQuery (that allows you to construct query elements) and GqlQuery (which operates using GQL syntax) in string format. In this tutorial, we will use a simple StructuredQuery.

Suppose that you've added more people to Datastore, and now you want to find all people whose favorite food is pizza. Import the following:


Then add the following code to your program:

Query<Entity> query = Query.newEntityQueryBuilder()
    .setFilter(PropertyFilter.eq("favorite_food", "pizza"))
QueryResults<Entity> results =;
while (results.hasNext()) {
  Entity currentEntity =;
  System.out.println(currentEntity.getString("name") + ", you're invited to a pizza party!");

Cloud Datastore relies on indexing to run queries. Indexing is turned on by default for most types of properties. To read more about indexing, see the Cloud Datastore Index Configuration documentation.

Updating data

Another thing you'll probably want to do is update your data. The following snippet shows how to update a Datastore entity if it exists.

KeyFactory keyFactory = datastore.newKeyFactory().setKind("keyKind");
Key key = keyFactory.newKey("keyName");
Entity entity = datastore.get(key);
if (entity != null) {
  System.out.println("Updating access_time for " + entity.getString("name"));
  entity = Entity.newBuilder(entity)

The complete source code can be found at

Complete source code

In we put together all the code to store data and run queries into one program. The program assumes that you are running on Compute Engine or from your own desktop. To run the example on App Engine, simply move the code from the main method to your application's servlet class and change the print statements to display on your webpage.


To get help, follow the instructions in the shared Troubleshooting document.


Datastore uses HTTP for the transport layer.

Java Versions

Java 7 or above is required for using this client.


This library has tools to help write tests for code that uses the Datastore.

See TESTING to read more about testing.


This library follows Semantic Versioning.

It is currently in major version one (1.y.z), which means that the public API should be considered stable.


Contributions to this library are always welcome and highly encouraged.

See google-cloud's CONTRIBUTING documentation and the shared documentation for more information on how to get started.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See Code of Conduct for more information.


Apache 2.0 - See LICENSE for more information.

You can’t perform that action at this time.