Elasticsearch allows the data, that is stored in a document, to be not only of elementary types, but also of a range of types, see the documentation. With a short example I will explain this range type and how to use it in Spring Data Elasticsearch (the current version being 4.0.3).
For this example we want be able to answer the question: “Who was president of the United States of America in the year X?
A couple of months ago I published the post Using geo-distance sort in Spring Data Elasticsearch 4. In the comments there came up the question “What about searching within a distance?”
Well, this is not supported by query derivation from the method name, but it can easily be done with a custom repository implementation (see the documentation for more information about that).
I updated the example – which is available on GitHub – and will explain what is needed for this implementation.
When using Spring Data Elasticsearch (I am referencing the current version 4.0.2), normally the name of the index where the documents are stored is taken from the @Document annotation of the entity class – here it’s books:
@Document(indexName="books") public class Book { // ... } Recently in a discussion of a Pull Request in Spring Data Elasticsearch, someone told that she needed a possibility to extract the name from the entity itself, as entities might go to different indices.
In Spring Data Elasticsearch – at the time of writing, version 4.0 is the current version – the name of an index is normally defined by the @Document annotation on the entity class. For the following examples let’s assume we want to write some log entries to Elasticsearch with our application. We use the following entity:
@Document(indexName = "log") public class LogEntity { @Id private String id = UUID.randomUUID().toString(); @Field(type = FieldType.
The release of Spring Data Elasticsearch in version 4.0 (see the documentation) brings two new features that now enable users to use geo-distance sorts in repository queries: The first is a new class GeoDistanceOrder and the second is a new return type for repository methods SearchHit<T>. In this post I will show how easy it is to use these classes to answer questions like “Which pubs are the nearest to a given location?
After working on Spring Data Elasticsearch for nearly a year now, I’m proud that I will have a talk “Next Level Elasticsearch Integration with Spring Data Elasticsearch” at Spring I/O 2020 in Barcelona!
Edit: Spring I/O is postponed to October 2020 due to Covid-19.
Edit 2: Alas the conferebnce was cancelled.
what’s it all about In this post I show how to implement an annotation-based Logger injection in Spring when writing the application with Kotlin.
The used technique is quite far from new, basically what I do is implement a BeanPostProcessor which scans the properties of the beans for fields annotated with a custom annotation and sets these fields to a Logger instance. Examples how to implement this in Java can be found on the web, here I show the Kotlin version.
When a Spring-Boot application is deployed on OpenShift, it can be reached both with a HTTP URL and a HTTPS URL. This is because OpenShift runs a proxy in front of the application which in case of HTTP just routes the request to the application. If a request comes in via HTTPS, the proxy does all the encryption handling with the client and then passes the decrypted request on to the application – on the HTTP channel – and encrypts the response before sending it to the client.
Note to self: When using Spring-Boot, use application.conf as a base configuration for the needed values. Configuration values for the specific profile go into the application-<profile>.config file.
Profiles are activated by using either the -Dspring.profiles.active=<profile> VM flag or --spring.profiles.active=<profile> commandline arg.
This post describes how to create and deploy a Spring-Boot application to RedHat OpenShift (version 2) when the application is using Java 8.
Edit 2015-10-04: In this newer post I show how to not install a custom JDK. So you should first read this post and then the linked one for additional information.
Normally deploying a Spring-Boot application on OpenShift is not too much pain and is explained in the Spring-Boot documentation.
