Red Hat Data Grid 8.0 Release Notes

Red Hat Data Grid 8.0

Data Grid Documentation

Red Hat Customer Content Services


Find out about features and enhancements in Data Grid 8.0, learn about current known issues and resolved issues, review the configurations that Red Hat supports, and more.

Chapter 1. Red Hat Data Grid

Data Grid is a high-performance, distributed in-memory data store.

Schemaless data structure
Flexibility to store different objects as key-value pairs.
Grid-based data storage
Designed to distribute and replicate data across clusters.
Elastic scaling
Dynamically adjust the number of nodes to meet demand without service disruption.
Data interoperability
Store, retrieve, and query data in the grid from different endpoints.

1.1. Data Grid Documentation

Documentation for Data Grid is available on the Red Hat customer portal.

1.2. Data Grid Downloads

Access the Data Grid Software Downloads on the Red Hat customer portal.


You must have a Red Hat account to access and download Data Grid software.

Chapter 2. Data Grid Release Information

Learn about new features and get the latest Data Grid release information.

2.1. Data Grid 8.0.1 Release Information

Data Grid 8.0.1 is an errata release that provides enhancements, fixes bugs, and hardens security.

2.1.1. Server Patching Tool

The Data Grid CLI includes a patch command that lets you manage and install server patches.

See Patching Data Grid Servers for instructions on downloading and installing server patches.


Data Grid 8.0.1 does not include a patch for 8.0.0. For this reason, you need to download the full Data Grid 8.0.1 server distribution.

For instructions on patching Data Grid 8.0.0 server installations, refer to the following article from the Red Hat support team:

2.1.2. Server Rolling Upgrade

Data Grid servers expose the ability to perform rolling upgrades via the REST API.

See Performing Rolling Upgrades for steps on upgrading Data Grid clusters without downtime.

2.1.3. Per-Cache Hot Rod Configuration

The Hot Rod client configuration API includes a RemoteCacheConfigurationBuilder class that lets you create and configure caches on first access either programmatically or via Hot Rod client properties file.

See the following documentation for more information:

2.1.4. Creating Caches with Templates via Hot Rod

The RemoteCacheManagerAdmin interface allows you to create caches with the org.infinispan cache configuration templates:

  • createCache​(String name, DefaultTemplate template)
  • getOrCreateCache​(String name, DefaultTemplate template)

For example:

private void createCacheWithTemplate() {
    manager.administration().getOrCreateCache("myDistCache", "org.infinispan.DIST_SYNC");
    System.out.println("Cache created.");

See org.infinispan.client.hotrod.RemoteCacheManagerAdmin for more information.

2.1.5. Improved Configuration for Single File Cache Stores

Configuration of Single File cache stores is simplified so you no longer need to set path or relative-to attributes. The location of Single File caches stores are always relative to the global persistent location.

See the following configuration documentation for more information:

2.1.6. Defining External Service Ports

Data Grid Operator lets you define the port where external services are exposed.

See Exposing Data Grid to External Clients for more information.

2.1.7. Data Grid Servers Warn if Partition Handling Configuration Leads to Degraded Clusters

If you configure distributed caches with one owner (owners="1") then the conflict resolution strategy for partition handling must be ALLOW_READ_WRITES (when-split="ALLOW_READ_WRITES"), otherwise the cache configuration exception is thrown at server startup:

ISPN000575: PartitionStrategy must be ALLOW_READ_WRITES when numOwners is 1

In the case of Data Grid service clusters on OpenShift, the Data Grid Operator automatically modifies configuration during upgrade to use when-split="ALLOW_READ_WRITES". This ensures that clusters restart when rolling upgrades take place.

For Data Grid servers running outside of OpenShift, you must modify cache configuration manually.

2.2. What’s New in Data Grid 8.0

Data Grid 8.0 is a new major version with significant changes that focus on improved usability, increased performance, and a cloud-native architecture.

2.2.1. Data Grid Operator

Data Grid 8.0 introduces a fully supported Data Grid Operator that provides operational intelligence to simplify Data Grid cluster deployment and management on Red Hat OpenShift.

Try some of the following documentation to create a Data Grid Operator subscription and get running in OpenShift:

2.2.2. Data Grid Server

Data Grid servers are no longer based on Red Hat JBoss Enterprise Application Platform (EAP), which reduces the memory and disk footprint and also simplifies configuration. In addition Data Grid 8.0 servers provide several enhancements and improvements to security, including integration with Red Hat SSO and a smaller attack surface.

See Getting Started with Data Grid Server and create a running Data Grid cluster in a few minutes.

2.2.3. Management and Administration Console

Data Grid 8.0 includes a new console with improved management and administration capabilities.

To access the console, start Data Grid server and go to:

You can also access the console from Data Grid clusters running on OpenShift.

2.2.4. Data Grid REST API

Data Grid 8.0 introduces REST API v2 with 50% faster response rates compared to v1 along more extensive capabilities.

Data Grid REST API v2 provides operations that let you:

  • Access data and manipulate objects such as counters.
  • Perform management tasks, like gracefully shutting down Data Grid clusters or transferring cache state to backup locations when using cross-site replication.
  • Monitor cluster and server health and retrieve statistics.

Data Grid REST API v2 also automatically converts between storage formats such as JSON, XML, Protobuf, and plain text for increased inter-operability.

The Data Grid engineering team develop and maintain comprehensive REST API Documentation

2.2.5. Data Grid Command Line Interface (CLI)

In 8.0, Data Grid gives you a new CLI with intuitive commands for remotely accessing data and managing clusters.

The CLI uses familiar Bash commands for navigating, such as cd and ls. It also provides command history and auto-completion for ease of use. Additionally the CLI provide help text and man pages for commands with clear examples.

Try the docs: Getting Started with the Data Grid CLI.

2.2.6. Monitoring and Observability

Data Grid 8.0 is compatible with the Eclipse MicroProfile Metrics API and provides a /metrics endpoint for integration with Prometheus.

Data Grid metrics include:

  • Gauges that return values, such as JVM uptime or average number of seconds for cache operations.
  • Histograms that show how long read, write, and remove operations take, in percentiles.

Data Grid 8.0 also offers improved statistics and management operations via JMX and updates to logging with coarse-grained logging categories and support for logs in JSON format.

2.2.7. Marshalling and Data Durability

In 8.0, Data Grid marshalling capabilities are refactored so that user objects are isolated from internal objects, which improves efficiency and makes it easy to change between different Marshaller implementations.

Data Grid also now uses a ProtoStream API to store user types as Protocol Buffers, which is a platform-independent, language-neutral format that is highly customizable. As a result of this change, Data Grid 8.0 can also ensure binary compatibility of your data with future versions.

Find out about Data Grid Marshaller Implementations.

2.2.8. Performance

Data Grid 8.0 brings a number of performance improvements, notably:

  • Faster and more efficient cross-site replication operations.
  • Reduced thread usage through non-blocking internal calls.
  • Automatic detection of Hot Rod protocols.

Chapter 3. Data Grid for OpenShift

3.1. Data Grid for OpenShift 8.0 Images

Data Grid 8.0 includes two container images, the Data Grid Operator image and Data Grid server image.


Red Hat supports Data Grid for OpenShift 8.0 only through Data Grid Operator subscriptions.

Likewise Red Hat does not support customization of any 8.0 images from the Red Hat Container Registry.

Data Grid for OpenShift images are hosted on the Red Hat Container Registry, where you can find health indexes for the images along with information about each tagged version.

3.2. Data Grid Library Mode on OpenShift

Embedding Data Grid in custom OpenShift applications, or running in Library Mode, is intended for specific uses only.

  • Using local or distributed caching in custom Java applications to retain full control of the cache lifecycle. Additionally, when using features that are available only with embedded Data Grid such as distributed streams.
  • Reducing network latency to improve the speed of cache operations. Although it is worth noting that the Hot Rod protocol provides near-cache capabilities that achieve equivalent performance of a standard client-server architecture.

Embedding Data Grid in OpenShift also has some limitations:

  • Persist cache stores are not currently supported.
  • Only DNS_PING is supported for the cluster discovery protocol.
  • TCP is supported for the ping port.
  • UDP is not supported with embedded Data Grid.

Red Hat highly discourages embedding Data Grid to build custom caching servers to handle remote client requests. You should create Data Grid service clusters with the Data Grid Operator instead to get full Red Hat support and benefit from regular updates with performance improvements and security fixes.

Chapter 4. Known and Fixed Issues

Learn about known issues in Data Grid and find out which issues are fixed.

4.1. Known Issues for Data Grid

Global Persistent Locations Do Not Retrieve Server Data Path Property

Issue: JDG-3826

Description: With Data Grid server deployments, if you set the path of the global persistent location relative to the property, Data Grid does not set that path in the configuration and the following exception is written to the server log file:

org.infinispan.commons.CacheConfigurationException: ParseError at [row,col]:[1,130]
Message: Missing required property '/user/path/to/server/data' for attribute 'relative-to'

Workaround: Set the path in the global persistent location instead of using the property, for example:

  <persistent-location path="tmp/example" relative-to=/user/path/to/server/data"/>
JDBC String-Based Cache Store Functional Tests Hang with Sybase

Issue: JDG-1492

Description: When running functional tests for the JDBC String-Based cache store with Sybase databases, cache stores become unresponsive and the functional tests fail. This issue occurs because Sybase databases do not support batch updates to binary columns.

Workaround: Set a value of true for the property infinispan.jdbc.upsert.disabled on the JDBC String-Based cache store. This property executes write operations individually instead of in batches.

Default Service for Data Grid on OpenShift Missing Port Name

Issue: JDG-3643

Description: The default network service that Data Grid Operator creates for Data Grid clusters on OpenShift is missing a port name. As a result, the Prometheus console attempts to collect Data Grid metrics from the 8888/metrics target as well as 11222/metrics.

Workaround: There is no workaround for this issue.

Data Grid Operator Does Not Encrypt Endpoints by Default

Issue: JDG-3591

Description: Data Grid Operator does not automatically encrypt Data Grid endpoints with OpenShift service certificates.

Workaround: Set the configuration in your Infinispan CR. See Securing Data Grid Connections.

Cannot Access Caches If Names Contain the "/" Character

Issue: JDG-3494

Description: If cache names contain the "/" character, it is not possible to access them remotely via the CLI or REST API.

Workaround: There is no workaround for this issue.

Data Grid Hot Rod JavaScript Client SSL Test Failures

Issue: HRJS-88

Description: The Hot Rod JS client behaves unexpectedly and the following exceptions are logged when using encrypted connections to Data Grid server:

[org.infinispan.server.hotrod.HotRodHeader] ISPN006010: Conditional operation
'FOO' should be used with transactional caches, otherwise data inconsistency
issues could arise under failure situations

[org.infinispan.server.hotrod.HotRodHeader] ISPN006011: Operation 'FOO' forced
to return previous value should be used on transactional caches, otherwise data
inconsistency issues could arise under failure situations

[org.infinispan.SECURITY] ISPN000946: Using OpenSSL Provider ...

Workaround: There is no workaround for this issue.

Data Grid Conflict Resolution Performance

Issue: JDG-3636

Description: In some test cases, Data Grid partition handling functionality took longer than expected to perform conflict resolution.

Workaround: There is no workaround for this issue.

Data Grid Does Not Passivate JWS Sessions Correctly

Issue: JDG-2796

Description: When externalizing sessions from JBoss Web Server (JWS), sessions are not passivated correctly if using the FINE persistence strategy.

Workaround: There is no workaround for this issue.

Remote Cache Stores Cannot Use Preload with EAP Session Externalization

Issue: JDG-3504

Description: JBoss Enterprise Application Platform (EAP) throws the following exception if remote cache store configurations pre-load data into memory:

ERROR [] (ServerService Thread Pool -- 68) MSC000001: Failed to start service org.wildfly.clustering.infinispan.cache.web.jws-session-dist-async.war: org.jboss.msc.service.StartException in service org.wildfly.clustering.infinispan.cache.web.jws-session-dist-async.war: org.infinispan.commons.CacheException: Unable to invoke method public void org.infinispan.persistence.manager.PreloadManager.start() on object of type PreloadManager

Workaround: Ensure that the remote cache store configuration uses preload="false".

Data Grid Server Allows REST and Hot Rod Operations from Unauthenticated Users

Issue: JDG-3624

Description: It is possible to perform operations to access data and control Data Grid nodes with unauthenticated requests from both REST and Hot Rod endpoints.

Workaround: Configure endpoint authentication before you start Data Grid server instances. See Configuring Endpoint Authentication Mechanisms for more information.

Errors Occur Using Oracle Database 19c JDBC Drivers with JDK 11

Issue: JDG-3558

Description: Data Grid has tested using JDBC drivers, ojdbc10.jar, with JDK 11 to create persistent cache stores with Oracle 19c database. Test results indicate that Oracle Database 19c JDBC drivers are not compatible with JDK 11.

Workaround: Use ojdbc8.jar with JDK 8.

JBoss Marshalling with Hot Rod Clients in EAP

Issue: JDG-3552

Description: NoClassDefFoundError: sun/reflect/ReflectionFactory exceptions occur if you package the Data Grid Hot Rod Java client as a WAR file in an JBoss Enterprise Application Platform (EAP) deployment and use JBoss Marshalling.

Workaround: Include WEB-INF/jboss-deployment-structure.xml in your WAR file as follows:

<jboss-deployment-structure xmlns="urn:jboss:deployment-structure:1.1">
      <system export="true">
          <path name="sun/reflect"/>

4.2. Open Issues for Data Grid 8.0

You can find the complete list of issues for Data Grid with the following Jira queries:

Query JQL

project = JDG AND affectedVersion in ("RHDG 8.0.1 GA") AND status not in (Closed, Verified, "Ready for QA", "QA In Progress", Resolved) AND type = Bug

Query JQL

project = JDG AND affectedVersion in ("RHDG 8.0 ER1", "RHDG 8.0 ER2", "RHDG 8.0 ER3", "RHDG 8.0 ER4", "RHDG 8.0 CR1", "RHDG 8.0 CR2") AND status not in (Closed, Verified, "Ready for QA", "QA In Progress", Resolved) AND type = Bug

4.3. Fixed in Data Grid 8.0.1

List of All Issues Resolved in Data Grid 8.0.1
Features and enhancements, documentation improvements, bug fixes.

Query JQL

project = JDG AND "Target Release" = "RHDG 8.0.1 GA"
Notable Fixes

This release also includes the following notable fixes:

  • JDG-3784 Package org.infinispan.context is missing from javadocs.
  • JDG-3767 Server does not load user classes with custom root directories.
  • JDG-3748 Remote JCacheManager does not apply configuration from URI.
  • JDG-3631 Single File cache store directory not relative to the global persistent location.
  • JDG-3612 Configuration schema do not include the default values.
  • JDG-3598 Exceptions occur when performing rolling upgrades of Data Grid clusters.
  • JDG-3599 Data Grid Server log files display incorrect version.
  • JDG-3578 NullPointerException occurs when installing continuous query listeners.

4.4. Fixed in Data Grid 8.0

List of All Issues Resolved in Data Grid 8.0
Features and enhancements, documentation improvements, bug fixes.

Query JQL

project = JDG AND "Target Release" = "RHDG 8.0 GA"
Notable Fixes

This release also includes the following notable fixes:

  • JDG-2992 Pessimistic locks can be lost if transactions timeout or are removed.
  • JDG-2861 Cache timeout during rebalancing operation.
  • JDG-2612 RemoteCache API documentation not clear if lifespan expiration uses Seconds or UnitTime.

Chapter 5. Deprecated Features and Functionality

Support for deprecated functionality is not available beyond the release in which it is deprecated.


Red Hat does not recommend including, enabling, or configuring deprecated functionality in new deployments.

5.1. Deprecations

Data Grid 8.0 deprecates the following features and functionality:

Memcached Endpoint Connector

As of this release, Data Grid no longer supports the Memcached endpoint. The Memcached connector is deprecated and planned for removal in a future release.


If you have a use case or requirement for the Memcached connector, contact your Red Hat support team to discuss requirements for a future Data Grid implementation of the Memcached connector.

JBoss Marshalling

JBoss Marshalling is a Serialization-based marshalling library and was the default marshaller in previous Data Grid versions. You should not use serialization-based marshalling with Data Grid but instead use Protostream, which is a high-performance binary wire format that ensures backwards compatibility.


The following interfaces and annotations are now deprecated:

  • org.infinispan.commons.marshall.AdvancedExternalizer
  • org.infinispan.commons.marshall.Externalizer
  • @SerializeWith

Data Grid ignores AdvancedExternalizer implementations when persisting data unless you use JBoss Marshalling.

Total Order Transaction Protocol

The org.infinispan.transaction.TransactionProtocol#TOTAL_ORDER protocol is deprecated. Use the default 2PC protocol instead.

Lucene Directory

The functionality to use Data Grid as a shared, in-memory index for Hibernate Search queries is now deprecated.

Custom Interceptors

The functionality to create custom interceptors with the AdvancedCache interface is now deprecated.

5.2. Removed Features and Functionality

Data Grid 8.0 no longer includes the following features and functionality that was either deprecated in a previous release or replaced with new components:

  • Uberjars (replaced with Maven dependencies and individual JAR files)
  • EAP Modules (replaced by the EAP Infinispan subsystem)
  • Cassandra Cache Store
  • Apache Spark Connector
  • Apache Hadoop Connector
  • Apache Camel component: jboss-datagrid-camel-library is replaced by the camel-infinispan component in Red Hat Fuse 7.3 and later.
  • REST Cache Store
  • REST API v1 (replaced by REST API v2)
  • Compatibility Mode
  • Distributed Execution
  • CLI Cache Loader
  • LevelDB Cache Store
  • infinispan-cloud (replaced by default configuration in infinispan-core)
  • org.infinispan.atomic package
  • getBulk() methods in the RemoteCache API for Hot Rod clients
  • JDBC PooledConnectionFactory via C3P0 and HikariCP connection pools
  • OSGI support
  • infinispan.server.hotrod.workerThreads system property
  • JON Plugin

Chapter 6. Appendix

Additional information for Data Grid 8.0.

6.1. Externalizing HTTP Sessions from JBoss Web Server (JWS) to Data Grid

Externalize HTTP sessions from JBoss Web Server (JWS) to Data Grid via the Apache Tomcat org.apache.catalina.Manager interface.

6.1.1. Installing the Session Client

  1. Download the redhat-datagrid-8.0.0.Final-tomcat<$version> archive from the Data Grid Software Downloads on the Red Hat customer portal.
  2. Copy the contents of the lib/ directory in the archive into $CATALINA_HOME.

6.1.2. Configuring the Session Manager

  1. Open either $CATALINA_HOME/conf/context.xml or /WEB-INF/context.xml for editing.
  2. Specify the HotRodManager class for the Session Manager and define configuration as appropriate.
  3. Save and close context.xml.

Example Configuration

<Manager className="org.wildfly.clustering.tomcat.hotrod.HotRodManager"

6.1.3. HotRodManager Configuration Properties



Specifies a cache instance or template defined in $RHDG_HOME/server/conf/infinispan.xml. Your application then creates a cache instance that uses the configuration from the named cache.


Defines how sessions map to entries in the cache.

COARSE stores all attributes of a session in a single cache entry. This is the default.

FINE stores session attributes in separate cache entries.


Defines the maximum number of sessions to store in the cache. The default is no maximum (limitless).

To configure Hot Rod clients, specify properties without the infinispan.client.hotrod. prefix. For more information, see the Hot Rod Client Configuration API.

You can also specify common attributes for the Session Manager. Refer to the appropriate version of the Apache Tomcat documentation as follows:

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