Near caching with Spring-Boot and Infinispan

We have recently released infinispan-spring-boot-starter 2.0.0.Final. This version supports Spring Boot 2.1 and Infinispan 9.4.0.Final.

Before this release, some important features - such as near caching - were only configurable by code. From now on, we can set all of the Hot Rod client configuration using the hotrod.properties file or the Spring application YAML. The latter is an important community requirement we had.

Let’s see how to speed up our applications performance with near caching!

==

==

Hot Rod

 

Just as a quick reminder, Infinispan can be used embedded in your application or in client/server mode. To connect you application to a server you can use an Infinispan Client and the Infinispan “Hot Rod Protocol”. Other protocols are available, such as REST, but Hot Rod is the most recommended way since it is the one that supports most of the Infinispan functionalities.

Near cache

From the Infinispan documentation: Hot Rod client can keep a local cache that stores recently used data. Enabling near caching can significantly improve the performance of read operations get and getVersioned since data can potentially be located locally within the Hot Rod client instead of having to go remote.

When should I use it? 

Near caching can improve the performance of an application when most of the accesses to a given cache are read-only and the accessed dataset is relatively small. When an application is doing lots of writes to a cache, invalidations, evictions and updates to the near cache need to happen. In this scenario we won’t probably get much benefit.

As I said in the introduction, the good news is that this feature can be activated just by configuration. Code doesn’t change, so we can measure the benefits, if such exist, in a very straightforward way.

Spring-Boot

I have created a very simple application, available here. Maven, Java 8 and an Infinispan server are required to run it. You can download the server or use docker.

Docker: docker run -it -p 11222:11222 jboss/infinispan-server:9.4.0.Final

Standalone: PATH/infinispan-server-9.4.0.Final/bin/standalone.sh

Once the server is up and running, build the application using maven 

>> infinispan-near-cache: mvn clean install

Writer 

This application loads the required data to a remote cache: a list of some of the Infinispan contributors over the last decade.

>> writer: mvn spring-boot:run

Reader 

The reader application does 10.000 accesses to the contributors cache. Using a random id, I call 10.000 times the get method. The job gets done in my laptop in ~4000 milliseconds.

>> reader-no-near-cache: mvn spring-boot:run

Activating the near cache

I need to configure two properties:

  • Near Cache Mode: DISABLED or INVALIDATED. Default value is DISABLED, so I turn it on with INVALIDATED.

  • Max Entries: Integer value that sets the max size of the near caches. There is no default value, so I set up one.

The hotrod client configuration is for each client, not for each cache (this might change in the future). With that in mind, note that configuring the previous properties will activate near caching for all the caches. If you need to activate it just for some of them, add the following property:

  • Cache Name Pattern:  String pattern. For example "i8n-.*" will activate the near caching for all the caches whose name starts by "i8n-".

Configuration can be placed in the hotrod-client.properties, Spring-boot configuration or code.

hotrod-client.properties

infinispan.client.hotrod.near_cache.mode=INVALIDATED

infinispan.client.hotrod.near_cache.max_entries=40

infinispan.client.hotrod.near_cache.cache_name_pattern=*i8n-.

application.yaml (or properties)

infinispan:    remote:      near-cache-mode: INVALIDATED      near-cache-max-entries: 10      near-cache-cache-name-pattern: i8n-.*

code 

With the Infinispan Spring-Boot Starter, I can add custom configuration using the InfinispanRemoteCacheCustomizer.

Results

My dataset contains 25 contributors. If I activate the near cache with max 12 entries and I run my reader again, I get the job done in ~1900 milliseconds, which is already an improvement. If I configure it to hold the complete dataset, I get it done in ~220 milliseconds, which is a big one!

Conclusions

Near caching can help us speed up our client applications if configured properly. We can test our tuning easily because we only need to add some configuration to the client. Finally, the Spring-Boot Infinispan Starter helps us build services with Spring-Boot and Infinispan. 

Further work will be done to help Spring-Boot users work with Infinispan, so stay tuned! Any feedback on the starter or any requirement from the community is more that welcome. Find us in Zulip Chat for direct contact or post your questions in StackOverflow!

News

Tags

JUGs alpha as7 asymmetric clusters asynchronous beta c++ cdi chat clustering community conference configuration console data grids data-as-a-service database devoxx distributed executors docker event functional grouping and aggregation hotrod infinispan java 8 jboss cache jcache jclouds jcp jdg jpa judcon kubernetes listeners meetup minor release off-heap openshift performance presentations product protostream radargun radegast recruit release release 8.2 9.0 final release candidate remote query replication queue rest query security spring streams transactions vert.x workshop 8.1.0 API DSL Hibernate-Search Ickle Infinispan Query JP-QL JSON JUGs JavaOne LGPL License NoSQL Open Source Protobuf SCM administration affinity algorithms alpha amazon annotations announcement archetype archetypes as5 as7 asl2 asynchronous atomic maps atomic objects availability aws beer benchmark benchmarks berkeleydb beta beta release blogger book breizh camp buddy replication bugfix c# c++ c3p0 cache benchmark framework cache store cache stores cachestore cassandra cdi cep certification cli cloud storage clustered cache configuration clustered counters clustered locks codemotion codename colocation command line interface community comparison compose concurrency conference conferences configuration console counter cpp-client cpu creative cross site replication csharp custom commands daas data container data entry data grids data structures data-as-a-service deadlock detection demo deployment dev-preview devnation devoxx distributed executors distributed queries distribution docker documentation domain mode dotnet-client dzone refcard ec2 ehcache embedded query equivalence event eviction example externalizers failover faq final fine grained flags flink full-text functional future garbage collection geecon getAll gigaspaces git github gke google graalvm greach conf gsoc hackergarten hadoop hbase health hibernate hibernate ogm hibernate search hot rod hotrod hql http/2 ide index indexing india infinispan infinispan 8 infoq internationalization interoperability interview introduction iteration javascript jboss as 5 jboss asylum jboss cache jbossworld jbug jcache jclouds jcp jdbc jdg jgroups jopr jpa js-client jsr 107 jsr 347 jta judcon kafka kubernetes lambda language leveldb license listeners loader local mode lock striping locking logging lucene mac management map reduce marshalling maven memcached memory migration minikube minishift minor release modules mongodb monitoring multi-tenancy nashorn native near caching netty node.js nodejs nosqlunit off-heap openshift operator oracle osgi overhead paas paid support partition handling partitioning performance persistence podcast presentations protostream public speaking push api putAll python quarkus query quick start radargun radegast react reactive red hat redis rehashing releaase release release candidate remote remote events remote query replication rest rest query roadmap rocksdb ruby s3 scattered cache scripting second level cache provider security segmented server shell site snowcamp spark split brain spring spring boot spring-session stable standards state transfer statistics store store by reference store by value streams substratevm synchronization syntax highlighting testing tomcat transactions uneven load user groups user guide vagrant versioning vert.x video videos virtual nodes vote voxxed voxxed days milano wallpaper websocket websockets wildfly workshop xsd xsite yarn zulip
Posted by Katia Aresti on 2018-11-02
Tags: hotrod near caching spring spring boot
back to top