Tag Archives: Elasticsearch

Elasticsearch CRUD .NET provider

The article explains how to use the ElasticsearchCRUD NuGet package. ElasticsearchCRUD is designed so that you can do CRUD operations for any entity and insert, delete, update or select single documents from Elasticsearch. The package only includes basic search or query possibilities. Code: https://github.com/damienbod/ElasticsearchCRUD NuGet Package: https://www.nuget.org/packages/ElasticsearchCRUD/ Issues: https://github.com/damienbod/ElasticsearchCRUD/issues Tutorials: Part 1: ElasticsearchCRUD introduction Part […]

Web API Tracing with SLAB and Elasticsearch

The article demonstrates how to use Web API Tracing, and trace the data using SLAB, in-process or out-of-process to a flat file or an Elasticsearch sink. Semantic.Logging from Enterprise Library now includes an Elasticsearch sink. The NuGet package also includes an implementation of the IExceptionLogger interface and a logging ActionFilter which logs the data using […]

Using Web API with a Nest elasticsearch backend

This article demonstrates how to create a Web API RESTful service and use Elasticsearch as the persistence infrastructure. Nest is used to access Elasticsearch store. Simple CRUD is supported in the controller. code: https://github.com/damienbod/WebAPIRestWithNest Update 2014.09.28: updated all NuGet packages and fixed NEST, breaking changes in version 1 Structure The Application structure is based on […]

Semantic Logging with Elasticsearch

UPDATE: This NuGet package will no longer be supported as SLAB now supports an Elasticsearch sink. This blog still demonstates how to create a custom sink for SLAB. With the version 1.1 bulk inserts can also be used for custom sinks. See https://damienbod.wordpress.com/2014/04/02/semanic-logging-with-elasticsearch-using-semanticlogging-elasticsearch-nuget-package/ This post demonstrates how to create a Semantic.Logging Sink which adds documents […]

Getting started with Elasticsearch and .NET

At present there are 2 main players in the full text searches for applications. Solr and Elasticsearch. Both are built using Lucene. There’s a lot of dicussion about which is the best, but for me, Elasticsearch provides some better features and seems to be growing faster. I decided to choose Elasticsearch because you require no […]