Hello Mark, I have found some documentation on how to do what the article describes:
"Apache Ignite can be inserted between Apache Cassandra and an existing application layer with no changes to the Cassandra data and only minimal changes to the application" https://apacheignite-mix.readme.io/docs/ignite-with-apache-cassandra On the left you can see there are config examples, tests, AWS configuration, etc. Hope it's good enough. -- Ilya Kasnacheev 2017-08-31 16:15 GMT+03:00 Mark Farnan <[email protected]>: > Howdy, > > I'm currently evaluating Ignite for a project, and am looking for some > guidance and project sample for using Ignite over Cassandra as a cache and > query layer. > Note: The Cassandra database and schema already exists and is mature. > > In a Recent Infoworld post, (https://www.infoworld.com/ > article/3191895/application-development/light-a-fire- > under-cassandra-with-apache-ignite.html) it stated > > "*No remodeling of Cassandra data* > Apache Ignite reads from Apache Cassandra and other NoSQL databases, so > moving Cassandra data into Ignite requires no data modification. The data > schema can also be migrated directly into Ignite as is. " > > However, I can't find in *any* documentation, or online articles, > guidance on just how to do this and there are no links in the article. > - The Ignite docs /cassandra section appear to only cover using > Cassandra as a persistence layer, not for going over and caching / > querying an existing schema. (unless I'm missing something obvious !) > - The Youtube video cuts out to blank at the end, so no links are shown. > The links on the slideshare document appear to be broken. > - Can't find any git hub for examples on how to do this (especially not > for the couple you tube vids) > > Can anyone please point me to some working sample code and/or > documentation on how to do this ? > > I'm especially interested in not having to migrate any schema's, nor > having to pre-load the data into the cache. (lazy load), which the > articles imply. > Also some of the data would be too large to load it all into Ram anyway. > > > Any assistance greatly appreciated. > > > Regards > > Mark. >
