Upgrading Data Grid
Upgrade Data Grid to 8.4
Abstract
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.
Data Grid documentation
Documentation for Data Grid is available on the Red Hat customer portal.
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.
Making open source more inclusive
Red Hat is committed to replacing problematic language in our code, documentation, and web properties. We are beginning with these four terms: master, slave, blacklist, and whitelist. Because of the enormity of this endeavor, these changes will be implemented gradually over several upcoming releases. For more details, see our CTO Chris Wright’s message.
Chapter 1. Data Grid 8 upgrade notes
Review the details in this section before upgrading from one Data Grid 8 version to another.
1.1. Upgrading to Data Grid 8.4
Read the following information to ensure a successful upgrade from previous versions of Data Grid 8 to 8.4:
Hot Rod client defaults
Data Grid 8.4.6 introduced changes to the properties of the Hot Rod client.
infinispan.client.hotrod.ssl_hostname_validation
A new property, infinispan.client.hotrod.ssl_hostname_validation
with a default value of true
. This property enables TLS hostname validation based on RFC 2818 rules. Additionally, setting the infinispan.client.hotrod.sni_host_name
is now required when hostname validation is enabled.
Table 1.1. Default property changes
Property | Data Grid 8.4 | Previous versions |
---|---|---|
| 2000 ms / 2 seconds | 60000 ms / 60 seconds |
| 2000 ms / 2 seconds | 60000 ms / 60 seconds |
| 3 | 10 |
| 180000 ms / 3 minutes | 1800000 ms / 30 minutes |
Improved metrics naming for JGroups and cross-site metrics
In Data Grid 8.4.4, you can enable the name-as-tags
property for JGroups metrics and cross-site metrics.
Enabling name-as-tags
simplifies metrics, displaying cluster and site names as tags rather than including them in metric names.
When you set name-as-tags
to false
, metrics are named based on the channel, resulting in multiple metrics for the same purpose:
# TYPE vendor_jgroups_xsite_frag4_get_number_of_sent_fragments gauge # HELP vendor_jgroups_xsite_frag4_get_number_of_sent_fragments Number of sent fragments vendor_jgroups_xsite_frag4_get_number_of_sent_fragments{cluster="xsite",node="..."} 0.0 # TYPE vendor_jgroups_cluster_frag4_get_number_of_sent_fragments gauge # HELP vendor_jgroups_cluster_frag4_get_number_of_sent_fragments Number of sent fragments vendor_jgroups_cluster_frag4_get_number_of_sent_fragments{cluster="cluster",node="..."} 2.0
When you set name-as-tags
to true
, metrics are simplified, and cluster and site names appear as tags:
# TYPE vendor_jgroups_frag4_get_number_of_sent_fragments gauge # HELP vendor_jgroups_frag4_get_number_of_sent_fragments Number of sent fragments vendor_jgroups_frag4_get_number_of_sent_fragments{cache_manager="default",cluster="xsite",node="..."} 0.0 vendor_jgroups_frag4_get_number_of_sent_fragments{cache_manager="default",cluster="cluster",node="..."} 2.0
In addition to simplified metrics, when you change the cluster name and site name, there is no need to update Grafana dashboards, as the metric names remain consistent.
Migrating from Java 8
As of Data Grid 8.4, Red Hat supports Java 11 and Java 17 for Data Grid Server installations, Hot Rod Java clients, and when using Data Grid for embedded caches in custom applications. Data Grid users must upgrade their applications at least to Java 11. Support for Java 8 was deprecated in Data Grid 8.2 and removed in Data Grid 8.4.
Embedded caches
Red Hat supports Java 11 and Java 17 when using Data Grid for embedded caches in custom applications. Data Grid users must upgrade their applications at least to Java 11.
Remote caches
Red Hat supports Java 11 and Java 17 for Data Grid Server and Hot Rod Java clients.
Hot Rod Java clients running in applications that require Java 8 can continue using older versions of client libraries. Red Hat supports using older Hot Rod Java client versions in combination with the latest Data Grid Server version. However, if you continue using older version of the client you will miss fixes and enhancements.
OpenJDK 17 has removed support for the Nashorn JavaScript engine, its APIs, and the jjs
tool. If your Data Grid Server uses JavaScript to automate tasks, you must install the Nashorn JavaScript engine.
Adding Jakarta EE dependencies
As of version 8.4 Data Grid distributes Jakarta EE 9+ based jars. If your application requires Jakarta specific dependencies, append the artifacts with -jakarta
, for example:
pom.xml
<dependency> <groupId>org.infinispan</groupId> <artifactId>infinispan-client-hotrod-jakarta</artifactId> </dependency>
Updating store properties configuration
In Data Grid 8.4, store provided properties no longer override store explicit configuration. The following example illustrates how you should update your configuration.
This example sets the read only configuration of the store to true
:
example.xml
<persistence> <file-store> <index path="testCache/index" /> <data path="testCache/data" /> <property name="readOnly">true</property> </file-store> </persistence>
In the updated example bellow, the read-only
property is provided to the store itself and does not affect the store explicit configuration.
example.xml
<persistence> <file-store read-only="true"> <index path="testCache/index" /> <data path="testCache/data" /> </file-store> </persistence>
Additional resources
Deprecated features and functionality
In Data Grid 8.4.3, the following features and functionality are deprecated and planned to be removed in future Data Grid releases.
Red Hat will provide support for these features and functionalities during the current release lifecycle, but they will no longer receive enhancements and will be eventually removed. It is recommended to transition to alternative solutions to ensure future compatibility.
Support for Java 11
Support for Java 11 is deprecated and planned to be removed in Data Grid version 8.5. Users of Data Grid 8.5 must upgrade their applications at least to Java 17.
You can continue using older Hot Rod Java client versions in combination with the latest Data Grid Server version. However, if you continue using older version of the client you will miss fixes and enhancements.
Support for Java EE dependencies
Support for Java EE dependencies is deprecated and planned to be removed in Data Grid version 8.5. Transition to Jakarta EE dependencies and APIs to align with the evolving Java enterprise ecosystem.
Support for Spring 5.x and Spring Boot 2.x
Support for Spring Boot 2.x and Spring 5.x is deprecated and planned to be removed in version Data Grid 8.5. Migrate to newer versions of Spring Boot and Spring framework for compatibility with future Data Grid releases.
Support for JCache
Support for JCache (JSR 107) is deprecated and planned to be removed in Data Grid version 8.5. As an alternative use other caching API developments in the Jakarta EE ecosystem.
Deprecation of Data Grid modules for Red Hat JBoss EAP
The Data Grid modules for Red Hat JBoss EAP applications that were distributed as a part of the Data Grid release are deprecated and planned to be removed in Data Grid version 8.5.
JBoss EAP users can use the infinispan
subsystem that is integrated within the JBoss EAP product release without the need to separately install Data Grid modules.
Scattered cache mode
Scattered cache mode is deprecated and planned to be removed in Data Grid version 8.5. As an alternative to scattered caches, you can use distributed caches instead.
Adding caches to ignore list using the Data Grid Console or REST API
The ability to add caches to the ignore list using the Data Grid Console or REST API, which allows temporarily excluding specific caches from client requests, is deprecated. This feature is planned to be removed in future releases.
Cache
service type
The Cache
service type is deprecated and planned to be removed in Data Grid 8.5. The Cache
service type was designed to provide a convenient way to create a low-latency data store with minimal configuration. Use the DataGrid
service type to automate complex operations such as cluster upgrades and data migration.
Testing Data Grid Server on Windows
The support for Data Grid Server on on Windows Server 2019 is deprecated and planned to be removed in Data Grid 8.5. However, the Data Grid team will continue testing C++ Hot Rod client with Windows Server 2019.
Deprecation of the PrincipalRoleMapperContext
interface
org.infinispan.security.PrincipalRoleMapperContext
was deprecated in Data Grid 8.4 and replaced by org.infinispan.security.AuthorizationMapperContext
.
Removal of the fetch-state
store property
The fetch-state
attribute has been deprecated and removed in Data Grid 8.4 without any replacement. You can remove the attribute from your xml configuration.
This change does not affect shared stores that have access to the same data. Local cache stores can use purge on startup to avoid loading stale entries from persistent storage.
Upgrade from 8.1 at a minimum
If you are upgrading from 8.0, you must first upgrade to 8.1. Persistent data in Data Grid 8.0 is not binary compatible with later versions. To overcome this incompatibility issue, Data Grid 8.2 and later automatically converts existing persistent cache stores from Data Grid 8.1 at cluster startup. However, Data Grid does not convert cache stores from Data Grid 8.0.
Chapter 2. Performing rolling upgrades for Data Grid Server clusters
Perform rolling upgrades of your Data Grid clusters to change between versions without downtime or data loss and migrate data over the Hot Rod protocol.
2.1. Setting up target Data Grid clusters
Create a cluster that uses the Data Grid version to which you plan to upgrade and then connect the source cluster to the target cluster using a remote cache store.
Prerequisites
- Install Data Grid Server nodes with the desired version for your target cluster.
Ensure the network properties for the target cluster do not overlap with those for the source cluster. You should specify unique names for the target and source clusters in the JGroups transport configuration. Depending on your environment you can also use different network interfaces and port offsets to separate the target and source clusters.
Procedure
Create a remote cache store configuration, in JSON format, that allows the target cluster to connect to the source cluster.
Remote cache stores on the target cluster use the Hot Rod protocol to retrieve data from the source cluster.
{ "remote-store": { "cache": "myCache", "shared": true, "raw-values": true, "security": { "authentication": { "digest": { "username": "username", "password": "changeme", "realm": "default" } } }, "remote-server": [ { "host": "127.0.0.1", "port": 12222 } ] } }
Use the Data Grid Command Line Interface (CLI) or REST API to add the remote cache store configuration to the target cluster so it can connect to the source cluster.
CLI: Use the
migrate cluster connect
command on the target cluster.[//containers/default]> migrate cluster connect -c myCache --file=remote-store.json
REST API: Invoke a POST request that includes the remote store configuration in the payload with the
rolling-upgrade/source-connection
method.POST /rest/v2/caches/myCache/rolling-upgrade/source-connection
- Repeat the preceding step for each cache that you want to migrate.
Switch clients over to the target cluster, so it starts handling all requests.
- Update client configuration with the location of the target cluster.
- Restart clients.
If you need to migrate Indexed caches you must first migrate the internal ___protobuf_metadata
cache so that the .proto schemas defined on the source cluster will also be present on the target cluster.
Additional resources
2.2. Synchronizing data to target clusters
When you set up a target Data Grid cluster and connect it to a source cluster, the target cluster can handle client requests using a remote cache store and load data on demand. To completely migrate data to the target cluster, so you can decommission the source cluster, you can synchronize data. This operation reads data from the source cluster and writes it to the target cluster. Data migrates to all nodes in the target cluster in parallel, with each node receiving a subset of the data. You must perform the synchronization for each cache that you want to migrate to the target cluster.
Prerequisites
- Set up a target cluster with the appropriate Data Grid version.
Procedure
Start synchronizing each cache that you want to migrate to the target cluster with the Data Grid Command Line Interface (CLI) or REST API.
CLI: Use the
migrate cluster synchronize
command.migrate cluster synchronize -c myCache
REST API: Use the
?action=sync-data
parameter with a POST request.POST /rest/v2/caches/myCache?action=sync-data
When the operation completes, Data Grid responds with the total number of entries copied to the target cluster.
Disconnect each node in the target cluster from the source cluster.
CLI: Use the
migrate cluster disconnect
command.migrate cluster disconnect -c myCache
REST API: Invoke a DELETE request.
DELETE /rest/v2/caches/myCache/rolling-upgrade/source-connection
Next steps
After you synchronize all data from the source cluster, the rolling upgrade process is complete. You can now decommission the source cluster.
Chapter 3. Migrating data between cache stores
Data Grid provides a Java utility for migrating persistent data between cache stores.
In the case of upgrading Data Grid, functional differences between major versions do not allow backwards compatibility between cache stores. You can use StoreMigrator
to convert your data so that it is compatible with the target version.
For example, upgrading to Data Grid 8.0 changes the default marshaller to Protostream. In previous Data Grid versions, cache stores use a binary format that is not compatible with the changes to marshalling. This means that Data Grid 8.0 cannot read from cache stores with previous Data Grid versions.
In other cases Data Grid versions deprecate or remove cache store implementations, such as JDBC Mixed and Binary stores. You can use StoreMigrator
in these cases to convert to different cache store implementations.
3.1. Cache store migrator
Data Grid provides the StoreMigrator.java
utility that recreates data for the latest Data Grid cache store implementations.
StoreMigrator
takes a cache store from a previous version of Data Grid as source and uses a cache store implementation as target.
When you run StoreMigrator
, it creates the target cache with the cache store type that you define using the EmbeddedCacheManager
interface. StoreMigrator
then loads entries from the source store into memory and then puts them into the target cache.
StoreMigrator
also lets you migrate data from one type of cache store to another. For example, you can migrate from a JDBC string-based cache store to a RocksDB cache store.
StoreMigrator
cannot migrate data from segmented cache stores to:
- Non-segmented cache store.
- Segmented cache stores that have a different number of segments.
3.2. Configuring the cache store migrator
Use the migrator.properties
file to configure properties for source and target cache stores.
Procedure
-
Create a
migrator.properties
file. Configure properties for source and target cache store using the
migrator.properties
file.Add the
source.
prefix to all configuration properties for the source cache store.Example source cache store
source.type=SOFT_INDEX_FILE_STORE source.cache_name=myCache source.location=/path/to/source/sifs source.version=<version>
ImportantFor migrating data from segmented cache stores, you must also configure the number of segments using the
source.segment_count
property. The number of segments must matchclustering.hash.numSegments
in your Data Grid configuration. If the number of segments for a cache store does not match the number of segments for the corresponding cache, Data Grid cannot read data from the cache store.Add the
target.
prefix to all configuration properties for the target cache store.Example target cache store
target.type=SINGLE_FILE_STORE target.cache_name=myCache target.location=/path/to/target/sfs.dat
3.2.1. Configuration properties for the cache store migrator
Configure source and target cache stores in a StoreMigrator
properties.
Table 3.1. Cache Store Type Property
Property | Description | Required/Optional |
---|---|---|
| Specifies the type of cache store for a source or target cache store.
| Required |
Table 3.2. Common Properties
Property | Description | Example Value | Required/Optional |
---|---|---|---|
| The name of the cache that you want to back up. |
| Required |
| The number of segments for target cache stores that can use segmentation.
The number of segments must match |
| Optional |
Table 3.3. JDBC Properties
Property | Description | Required/Optional |
---|---|---|
| Specifies the dialect of the underlying database. | Required |
|
Specifies the marshaller version for source cache stores.
*
*
*
*
*
* | Required for source stores only. |
| Specifies a custom marshaller class. | Required if using custom marshallers. |
|
Specifies a comma-separated list of custom | Optional |
| Specifies the JDBC connection URL. | Required |
| Specifies the class of the JDBC driver. | Required |
| Specifies a database username. | Required |
| Specifies a password for the database username. | Required |
| Disables database upsert. | Optional |
| Specifies if table indexes are created. | Optional |
| Specifies additional prefixes for the table name. | Optional |
| Specifies the column name. | Required |
| Specifies the column type. | Required |
|
Specifies the | Optional |
To migrate from Binary cache stores in older Data Grid versions, change table.string.*
to table.binary.\*
in the following properties:
-
source.table.binary.table_name_prefix
-
source.table.binary.<id\|data\|timestamp>.name
-
source.table.binary.<id\|data\|timestamp>.type
# Example configuration for migrating to a JDBC String-Based cache store target.type=STRING target.cache_name=myCache target.dialect=POSTGRES target.marshaller.class=org.example.CustomMarshaller target.marshaller.externalizers=25:Externalizer1,org.example.Externalizer2 target.connection_pool.connection_url=jdbc:postgresql:postgres target.connection_pool.driver_class=org.postrgesql.Driver target.connection_pool.username=postgres target.connection_pool.password=redhat target.db.disable_upsert=false target.db.disable_indexing=false target.table.string.table_name_prefix=tablePrefix target.table.string.id.name=id_column target.table.string.data.name=datum_column target.table.string.timestamp.name=timestamp_column target.table.string.id.type=VARCHAR target.table.string.data.type=bytea target.table.string.timestamp.type=BIGINT target.key_to_string_mapper=org.infinispan.persistence.keymappers. DefaultTwoWayKey2StringMapper
Table 3.4. RocksDB Properties
Property | Description | Required/Optional |
---|---|---|
| Sets the database directory. | Required |
| Specifies the compression type to use. | Optional |
# Example configuration for migrating from a RocksDB cache store. source.type=ROCKSDB source.cache_name=myCache source.location=/path/to/rocksdb/database source.compression=SNAPPY
Table 3.5. SingleFileStore Properties
Property | Description | Required/Optional |
---|---|---|
|
Sets the directory that contains the cache store | Required |
# Example configuration for migrating to a Single File cache store. target.type=SINGLE_FILE_STORE target.cache_name=myCache target.location=/path/to/sfs.dat
Table 3.6. SoftIndexFileStore Properties
Property | Description | Value |
---|---|---|
Required/Optional |
| Sets the database directory. |
Required |
| Sets the database index directory. |
# Example configuration for migrating to a Soft-Index File cache store. target.type=SOFT_INDEX_FILE_STORE target.cache_name=myCache target.location=path/to/sifs/database target.location=path/to/sifs/index
3.3. Migrating Data Grid cache stores
You can use the StoreMigrator
to migrate data between cache stores with different Data Grid versions or to migrate data from one type of cache store to another.
Prerequisites
-
Have a
infinispan-tools.jar
. -
Have the source and target cache store configured in the
migrator.properties
file.
Procedure
If you built the
infinispan-tools.jar
from the source code, do the following:-
Add
infinispan-tools.jar
to your classpath. - Add dependencies for your source and target databases, such as JDBC drivers to your classpath.
-
Specify
migrator.properties
file as an argument forStoreMigrator
.
-
Add
If you pulled
infinispan-tools.jar
from the Maven repository, run the following command:mvn exec:java