Naveen,
Ignite provides out of the box implementation for RDBMS. The easiest way to
integration would be to use Web Console to generate all required POJO
classes and configurations:
https://apacheignite-tools.readme.io/docs/automatic-rdbms-integration
-Val
--
Sent from: http://apache-ignite-us
Hi Stan
I do not want to Oracle with native persistence, I only wanted to use Oracle
persistent layer.
Are you sure, we need to implement cacheStore for each table we have in the
cluster ?
If that is the case, we need to have separate code base for Oracle as
persistence layer and another versio
://apacheignite.readme.io/docs/3rd-party-store.
Thanks,
Stan
From: Naveen
Sent: 7 марта 2018 г. 15:20
To: user@ignite.apache.org
Subject: RE: Does Merge statement (DML) work with JDBC client driver
Hi Stan
Currently I am using JDBC thin driver to connect to Ignite cluster for both
read/write.
Below is the config xml
Hi Stan
Currently I am using JDBC thin driver to connect to Ignite cluster for both
read/write.
Below is the config xml I am using
http://www.springframework.org/schema/beans";
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
xmlns:util="http://www.springframework.org/s
Hi Naveen,
When you’re using Ignite SQL queries they aren’t processed by the Oracle’s SQL
engine.
Instead, Ignite will process the SQL itself (via H2 database engine) and get
the data from its cache.
For that to work you need to first preload the data to the cache via a
CacheStore.loadCache() –