Last year I went to several conferences, one about JavaScript and at least two about Java. Unfortunately, the last conference was rather boring since at every Java conference they are talking about the same cool Java 8 and Java 9 stuff, for example project Jig-Saw or Lambda expressions. After listening to several “Java User Group” talks and attending one Java conference there will not be a lot of new content in another three-day conference. In my opinion this is sad and I decided this year to go to more specialised conferences.

In the previous post, we discussed how to read data in chunks from a relational database as a Spring Batch process using Spring Boot runner. This post will explain how to import that data into Elasticsearch.

Recently I had a customer project that required transferring large amounts of data from a relational database to the NoSQL database that is Elasticsearch in order to take advantage of its famous fast searching capabilities. Elasticsearch is part of the ELK stack that is released and maintained by Elastic.co. The abbreviation ELK stand for Elasticsearch, Logstash, and Kibana.

Angular 2 is the successor of the famous and broadly used AngularJS Javascript Framework, for building dynamic web applications. Due to the huge success and popularity of its predecessor, some client projects started using Angular 2 before its official release. This resulted in Angular 2 becoming one of the most famous platforms for web and hybrid application development. Although this framework is relatively new there are already a lot of tutorials and examples explaining how to develop an Angular 2 application. However, there is one aspect of Angular 2 that is not widely covered, but is…