Category .NET
MVC 6 ASP.NET 5 full text search with Elasticsearch (dotnet .NETCoreApp 1.0 )
This tutorial shows how to create an MVC 6 ASP.NET Core application (dotnet .NETCoreApp 1.0) which does a full text search using Elasticsearch. This application uses jQuery-UI to send the search requests and ElasticsearchCRUD (pre-release version) to send the requests to Elasticsearch. ElasticsearchCRUD supports dnxcore50 and netstandard 1.4. The source code can be found in […]
Searching Multiple Indices and Types in Elasticsearch
This article shows how to do searches across multiple indices and types in Elasticsearch using ElasticsearchCRUD. Elasticsearch provides an Indices Filter, a Type Filter, and an Indices Query which can be used when working with multiple indices and types. Aggregations searches and Count requests can also be executed using multiple indices, types. Code: https://github.com/damienbod/ElasticsearchParentChildGrandChild Other […]
Elasticsearch Aggregations With ElasticsearchCRUD
This article shows how to implement Elasticsearch aggregation search requests and responses using ElasticsearchCRUD. Code: https://github.com/damienbod/AggregationExamplesWithElasticsearchCRUD The Elasticsearch Aggregation Examples contains integration tests which shows how to use all the different type of aggregations in ElasticsearchCRUD. Other Tutorials: Part 1: ElasticsearchCRUD introduction Part 2: MVC application search with simple documents using autocomplete, jQuery and jTable […]
Search Queries and Filters with ElasticsearchCRUD
This article demonstrates how to do searches with ElasticsearchCRUD. The API provides a search model which can be used with the search API from Elasticsearch. You can search both sync/async and also provide you own JSON string or use the search model. Lots of examples can be found here: https://github.com/damienbod/ElasticsearchCRUD/tree/master/src/ElasticsearchCRUDNUnit.Integration.Test Other Tutorials: Part 1: ElasticsearchCRUD […]
MVC google maps search using Elasticsearch
This article shows how to create an MVC application which uses google maps and Elasticsearch to do a geo_distance search and find the closest point (document) to your location. The Elasticsearch index uses a geo_point to define the location of each document. Elasticsearch supports GeoJson formats. Code: https://github.com/damienbod/WebAppGeoElasticsearch Other Tutorials: Part 1: ElasticsearchCRUD introduction Part […]
Using Elasticsearch German Analyzer
The article explains how to use Elasticsearch’s default German analyzer. An index using ElasticsearchCRUD, is created which maps a field using the german analyzer for both search and also indexing. Code: https://github.com/damienbod/ElasticsearchGermanAnalyzer Other Tutorials: Part 1: ElasticsearchCRUD introduction Part 2: MVC application search with simple documents using autocomplete, jQuery and jTable Part 3: MVC Elasticsearch […]
Elasticsearch Synonym Analyzer using ElasticsearchCRUD
This article shows how to setup and use a custom analyzer in Elasticsearch using ElasticsearchCRUD. An analyzer with a custom Synonym Token Filter is created and added to the index. If you search for any of the synonyms, you will find all the hits for all the possible texts. Code: https://github.com/damienbod/ElasticsearchSynonymAnalyzer Other Tutorials: Part 1: […]
Elasticsearch Type mappings with ElasticsearchCRUD
This article shows how to define mappings for types in Elasticsearch using ElasticsearchCRUD. The Core Types definitions in Elasticsearch can be defined using attributes with ElasticsearchCRUD. Code: https://github.com/damienbod/ElasticsearchCrudTypeMappingsExample Other Tutorials: Part 1: ElasticsearchCRUD introduction Part 2: MVC application search with simple documents using autocomplete, jQuery and jTable Part 3: MVC Elasticsearch CRUD with nested documents […]
Elasticsearch Parent, Child, Grandchild documents and Routing
This article shows how to create parent, child and grandchild documents in Elasticsearch using ElasticsearchCRUD. If creating documents which are related to each other, it is important that the documents are all saved to the same shard in Elasticsearch. The search performance is better, if a specific shard can be defined for the search. When […]
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