A high-performance data access layer requires a lot of knowledge about database internals, JDBC, JPA, Hibernate, So, at Alliance International IT after asking a expert we made some of the most important techniques you can use to optimize your enterprise application.
1. SQL statement logging
If you’re using a SQL framework then, While using it you must validate each line of code effectiveness and efficiency. A testing-time assertion mechanism is even better because you can catch N+1 query problems even before you commit your code.
2. Connection management
Using a database connection is expensive, So i suggest you to go with pooling mechanism.
Because the number of connections is given by the capabilities of the underlying database cluster, you need to release connections as fast as possible.
FlexyPool tools help you find the right size even after the deployed of the application into production.
3. JDBC batching
DBC batching give us a privilege to send multiple SQL statement in a single round trip. The performance gain is significant both on the Driver and the database side. Prepared Statements are always good for batching, and also the some database software (e.g. Oracle) only prepared batching statements only.
JDBC API for batching is define as (e.g. PreparedStatement.addBatch and PreparedStatement.executeBatch), if you are trying to generate statement manually , then you must have knowledge from the start whether you should be using batching or not. With Hibernate, you can switch to batching with a single configuration.
Hibernate 5.2 offers Session-level batching, so it’s even more flexible in this regard.
4. Explanation storing
Explanation storing is one of the slightest known performance optimization that you can undoubtedly exploit. Contingent upon the hidden JDBC Driver, allows you to store Prepared Statements on the customer side (the Driver) and admin side both (either the grammar tree or even the execution design).
5. Hibernate identifiers
When utilizing Hibernate, the IDENTITY generator isn’t a decent decision since it handicaps JDBC batching.
TABLE generator is far and away more terrible since it utilizes a different exchange for getting another identifier, which can put weight on the basic exchange log, and also the connection pool since a different connection is required each time we require another identifier.
6. Picking the correct segment composes
You ought to dependably utilize the correct section writes on the database side. The more conservative the section compose is, the more passages can be obliged in the database working set, and files will better fit into memory. For this reason, you should exploit database-particular writes (e.g. inet for IPv4 addresses in PostgreSQL), particularly since Hibernate is extremely adaptable with regards to executing another custom Type.