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#Kakaotalk store cache drivers
#Kakaotalk store cache full

Users can now also configure multiple endpoints and define separate security realms for them. The following example security realm includes an LDAP realm and a property realm, along with the distributed-realm element: When authenticating users, Data Grid Server checks each security realm in turn until it finds one that can perform the authentication. You can combine multiple security realms into a single realm. We have also increased the flexibility and convenience of security in Data Grid 8.3.

#Kakaotalk store cache full

More security enhancementsĭata Grid now provides full support for TLS version 1.3 with OpenSSL native acceleration. An example using Infinispan and the Quarkus Java framework is available on GitHub. After that, users should be able to create SQL cache stores via YAML, JSON, or XML-also a new configuration feature.

#Kakaotalk store cache drivers

To set up a cache store, you simply need to drop the database drivers into the server, which can be done with the Operator custom resource (CR) on Red Hat OpenShift.

With the query cache store, use arbitrary select, select all, delete, delete all, and upsert operations.

Use the cache store with composite keys and values through the protocol buffers (protobuf) schema.

Configure the cache store to load values on startup.

Configure the cache store as read-only, and act as a cache loader.

Expose cache data with a user-defined schema.

Pre-load data from an existing database.

Useful things you can do with the new SQL cache stores include the following:

Query cache store: Loads data based on SQL queries.

Table cache store: Loads all data from a single table.

In this release, we have added two types of SQL cache store: All of this makes for a complex scenario. Perhaps you would also like to support write-through and write-back operations. What do you do if you have a lot of data in a database and want to load the data into the cache? Database schemas can be complex and users might want to define how that data is queried through operations such as SELECT, INSERT, and so on. (Scroll down for more about security enhancements in a later section.) Scaling with SQL cache stores This flexibility enhances the cache's scalability and performance over multiple sites.įinally, security is of paramount importance for a cross-site cluster, so we have enabled TLS security for router-based cross-site replication. Cross-site replication is also more transparent and observable due to dedicated, operator-managed pods for routing cross-site replication requests.ĭata Grid operators can also configure the number of relay nodes for cross-site replication.

We have also enabled access to the data via the CLI, the REST API, and Java Management Extensions (JMX) to offer a better user experience to cluster operators. Cross-site replication involves messages at many different levels.