Download the list of followers from your Mastodon account

The Problem It recently came to my mind that it might be handy to have a list of all the accounts that I follow on Mastodon. I can surely see them on the web or in any decent client, but as a backup it would be great to have a list to store somewhere. As I already played a little with the Mastodon API I decided to write a short script that downloads a list of user@instance values.

Migrate from Wordpress to Hugo

Yesterday and today I migrated my web site / blog from Wordpress to Hugo. It was less effort and pain than I had anticipated. It was done with these steps: Install Hugo (I am running on macOS using macPorts, so: sudo port install hugo) In my wordpress installation, I aded the “Wordpress to Jekyll Exporter” plugin and exported the blog posts to a local zip file. After unzipping this file I ran hugo import jekyll jekyll-export hugo-sothawo to create the initial Hugo setup for my site Added this as git repository to a git repository hosted at my web hoster Cloned the Mainroad theme from GitHub and pushed my clone to a private git repo as well, as I have some adjustments to the theme.

Accessing a secured Elasticsearch 8.5 instance using Spring Data Elasticsearch 5.0

The problem When starting an Elasticsearch instance in version 8 (the current version being 8.7.0) for the first time, the Elasticsearch server is by default automatically configured with a random generated password and a self signed certificate to secure the connection between clients and the Elasticsearch server. The password and the fingerprint for the certificate are shown in the output of the server on the first start (output truncated for brevity):

Reading different entities from multiple indices with one call using Spring Data Elasticsearch

The problem In Elasticsearch (the the current version at the time of writing this post is 7.12.1) every index holds exactly one type of data. This type is defined by the index mapping which describes the fields of the index and their types. Spring Data Elasticsearch (the current version is 4.2) automatically maps between a Java class – the entity type – with its properties and the data in the Elasticsearch index.

The mystery of the endless Throwable's cause chain shown in the IntelliJ debugger

A Throwable in Java can have a cause which in turn is a Throwable as well. This cause can have a cause and we can have a chain of Throwableobjects which we can follow until a Throwable has no cause. Let me explain this with a small example: 1class Scratch { 2 public static void main(String[] args) { 3 try { 4 try { 5 int division = divide(4, 0); 6 } catch (Exception e) { 7 throw new IllegalArgumentException("got exception calling divide", e); 8 } 9 } catch (Throwable t) { 10 while (t !

show artillery http traffic

Just playing with If you need to see which requests are sent during setting up your test script, set the DEBUG environment variable: DEBUG=http:request,http:response,http:full_body $(npm bin)/artillery run test.yml

Implement a rolling index strategy with Spring Data Elasticsearch 4.1

With the release of version 4.1 Spring Data Elasticsearch now supports the index templates of Elasticsearch. Index templates allow the user to define settings, mappings and aliases for indices that are automatically created by Elasticsearch when documents are saved to a not yet existing index. In this blog post I will show how index templates can be used in combination with Spring Data Repository customizations to implement a rolling index strategy where new indices will be created automatically based on the date.

Search maven from the commandline using httpie and jq

Sometimes I like to know what the latest version of a library in maven central is. As I don’t like to always open a browser tab for search but almost always have a terminal window at hand, I just wrote s small script that uses httpie and jq to get the information I want (that’s all one line in the script): #!/usr/bin/env sh http rows==10000 q=="$1" | jq '[] | .

How to use Elasticsearch's range types with Spring Data Elasticsearch

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?