Users often enter data approximately or inaccurately.. But sometimes, we need to search or match this inaccurate data anyway!
For example, users should match existing customer records rather than creating unwanted duplicates.
There are standard algorithms for measuring string-distances, but we’ll need a few extra steps to make this work efficiently against a database.. Continue reading →
Recently, a poster on StackOverflow asked how to design the “perfect” JPA entity.
He had been working with Hibernate for some time, but still found himself struggling with questions as property type & accessibility, immutable properties, and equals/hashCode implementation.