Integration tests that involve database operations requite to tear down and re-initialize a database multiple times. Although most developer machines offer SSD and enough RAM, database initialization can consume a considerable amount of time nevertheless. Docker allows defining volumes that are mounted directly into the memory by using tmpfs. We can utilize this feature to utilize the speed up disk operations as during database imports, by moving the data from the disk into the memory.
Jupyter allows to set a custom user instead of**_jovyan_** which is the default for all containers of the [Jupyter Docker Stack]. You need to change this user or its UID and GID in order to get the permissions right when you mount a volume from the host into the Jupyter container. The following steps are required: Create an unprivileged user and an asociated group on the host. Here we call the user and the group docker_worker Add your host user to the group.
Facebook open sourced its forecasting tool [Prohpet] for time series data. Although forecasting is not a trivial task, the libraries are very easy to use and produce nice results quickly. In this basic blog post, I am going to forecast the visitor statistics based on the historical data I collected with Piwik. Python Prerequisites Install and initialize a new virtual Python environment # Install virtual environments package sudo pip3 install virtualenv # Create a new folder for the project mkdir python-projects cd python-projects/ # Create a new virtual environment virtualenv -p python3 py Install Prophet and its Dependencies Within your new Python virtual environment, install the required dependencies first and then Prophet
Stop Words Hibernate Search lets you easily assign an @Analyzer on Fields, which are used to process terms before they are written to the index. An anlyzer can be used for instance for stemming and removing of words which are so frequent that they are insignificant for the results. These are examples for stop words: [“a”, “an”, “and”, “are”, “as”, “at”, “be”, “but”, “by”, “for”, “if”, “in”, “into”, “is”, “it”, “no”, “not”, “of”, “on”, “or”, “such”, “that”, “the”, “their”, “then”, “there”, “these”, “they”, “this”, “to”, “was”, “will”, “with”]``` It is a common technique, to split input search terms into single keywords and use these keywords for combining a complex queries over several fields.
Spring Boot is a framework, that makes it much easier to develop Spring based applications, by following a convention over configuration principle (while in contrast Spring critics claim that the framework’s principle is rather configuration over everything). In this article, I am going to provide an example how to achieve the following: Create a simple Web application based on Spring Boot Persist and access data with Hibernate Make it searchable with Hibernate Search (Lucine) I use Eclipse with a Gradle plugin for convenience.
Hibernate Search is a very convenient way for storing database content in a Lucine index and add fulltext search capabilities to data driven projects simply by annotating classes. It can be easily integrated into Spring Boot applications and as long as only the basic features are used, it works out of the box. The fun starts when the Autoconfiguration cannot find out how to properly configure things automatically, then it gets tricky quite quickly.
Installing MySQL via apt-get is a simple task, but the migration between different MySQL versions requires planning and testing. Thus installing one central instance of the database system might not be suitable, when the version of MySQL or project specific settings should be switched quickly without interfering with other applications. Using one central instance can quickly become cumbersome. In this article, I will describe how any number of MySQL instances can be stored and executed from within a user’s home directory.
Gitlab offers several options for interacting with remote repositories: git, http, https and ssh. The first option – git – is the native transport protocol and does not encrypt the traffic. The same applies for http, rendering https and ssh the only feasible protocols if you commit and retrieve data via insecure networks. Ssh and https are also both available via the web interfaces of Github and Gitlab. In both systems you can simply copy and paste the clone URLs including the protocol.
Eclipse and IntelliJ are both great Java IDEs, which have their own communities, advantages and disadvantages. After having spent a few years in JetBrains IntelliJ Community Edition, I got accustomed to the tight and clean Git integration into the user interface. Now I consider switching back up Eclipse, I stumbled over a few things that I try to describe in this post. IntelliJ and Eclipse Handle Project Structures Differently Eclipse utilises a workspace concept, which allows to work on several projects at the same time.
JDBC and the Limits of ResultSet Metadata For my work in the area of [data citation], I need to analyse queries, which are used for creating subsets. I am particularly interested in query parameters, sortings and filters. One of the most commonly used query languages is SQL, which is used by many relational database management systems such as MySQL. In some cases, the interaction with databases is abstract, meaning that there is hardly any SQL statements executed directly.
A Side Project – An Interactive Parking Map of Innsbruck When I recently moved to Innsbruck, I noticed that there was no interactive map for the parking system available. The amount of time you can park your car depends on the zone your car is located in. There are 20 parking zones and they are defined by their bordering streets in the city. Innsbruck is very dense and parking is always a hot topic.
This blog serves as my digital notebook for more than eight years and I use to to collect all sorts of things, that I think are worth storing and sharing. Mainly, I blog about tiny technical bits, but recently I also started to write about my life here in Innsbruck, where I try to discover what this small city and its surroundings has to offer. The technical articles are written in English, as naturally the majority of visitors understands this language.
Running MySQL in Docker In a recent article on Docker in this blog, we presented some basics for dealing with data in containers. This article will present another popular application for Docker: MySQL containers. Running MySQL instances in Docker allows isolating database infrastructure with ease. Connecting to the Standard MySQL Container The description of the MySQL docker image provides a lot of useful information how to launch and connect to a MySQL container.
Recently, I bought a camera module for the Raspberry Pi and experimented a little bit with the possibilities a scriptable camera provides. The new Camera Module V2 offers 8.08 MP from a Sony sensor and can be controlled with a well documented Python library. It allows to take HD videos and shoot still images. Assembly is easy, but as the camera is attached with a rather short ribbon cable, which renders the handling is a bit cumbersome.
When compiling nested Maven projects in Idea, sometimes the compiler complains about a missing class file. This occurs on several occasions, depending which part of a project is compiled and what dependencies have been considered. If the project is large this can easily happen, when a specific class should be compiled without having the complete context available. Besides the tipps such as invalidate caches and the ones I found here and here, editing the build configuration of a project helps.
Conection Pooling? JDBC connection pooling is a great concept, which improves the performance of database driven applications by reusing connections. The benefit from connection pools is that the cost of creating and closing connections is avoided, by reusing connections from a pool of available connections. Database systems such as MySQL also assign database resources by limiting simultaneous connections. This is another reason, why connection pools have benefits in contrast to opening and closing individual connections.
I recently moved and naturally there was a lot of clothes which I do not need (read: do not fit in) any more. Throwing them away would be a waste and luckily, there is a social business called WAMS which (besides a lot of other nice projects) supports reuse and recycling. WAMS provides and maintains containers for collecting clothes on many locations in Tirol. Unfortunately, there is not yet a map available to find them easily.