ManticoreSearch.Provider
1.0.1
See the version list below for details.
dotnet tool install --global ManticoreSearch.Provider --version 1.0.1
dotnet new tool-manifest # if you are setting up this repo dotnet tool install --local ManticoreSearch.Provider --version 1.0.1
#tool dotnet:?package=ManticoreSearch.Provider&version=1.0.1
nuke :add-package ManticoreSearch.Provider --version 1.0.1
ManticoreProvider
Manticore Search – easy-to-use open-source fast database for search
ManticoreProvider
is a library for interacting with Manticore Search, providing convenient methods for executing SQL queries, inserting, updating, and deleting documents, as well as working with percolators.
Note: If you find errors or bugs in the library, please write to the email anton.panin75@gmail.com
Usage
Creating an Instance
Create an instance of ManticoreProvider
, specifying the base address of Manticore Search. If the address is not specified, http://localhost:9308 will be used by default.
var provider = new ManticoreProvider(); // defaults to http://localhost:9308
// or
var provider = new ManticoreProvider("http://your-manticore-address");
Executing SQL Queries
To execute an SQL query, use the Sql
method or its asynchronous variant SqlAsync
:
string result = provider.Sql("SELECT * FROM your_index");
// or
string resultAsync = await provider.SqlAsync("SELECT * FROM your_index");
Inserting Documents
To insert documents into the index, use the Insert
method or InsertAsync
:
var request = new ModificationRequest
{
Index = "products",
Document = new Dictionary<string, object>
{
{ "title", "jopa" },
{ "price", 19.0f },
{ "count", 3 }
}
}
};
var insertResponse = provider.Insert(request);
// or
var insertResponseAsync = await provider.InsertAsync(request);
Bulking Documents
To perform bulk upload of documents use Bulk
method or BulkAsync
:
for (int i = 0; i < 20; i++)
{
request.Add(new()
{
Insert = new ModificationRequest
{
Index = "products",
Id = i + 1,
Document = new Dictionary<string, object>
{
{ "title", "burger" },
{ "price", random.Next(1, 20) },
{ "count", random.Next(1, 5) }
}
}
});
}
var result = provider.Bulk(request);
// or
var resultAsync = await provider.BulkAsync(request);
Replacement of Documents
To replace documents, use Replace
method or ReplaceAsync
:
var request = new ModificationRequest
{
Index = "products",
Id = 1,
Document = new Dictionary<string, object>
{
{ "title", "sosal" },
{ "price", 100.0f },
{ "count", 25 }
}
};
var result = provider.Replace(request);
// or
var resultAsync = await provider.ReplaceAsync(request);
Bulk Replacement of Documents
To perform a bulk document replacement, use BulkReplace
method or BulkReplaceAsync
:
var request = new List<BulkReplaceRequest>()
{
new()
{
Replace = new()
{
Index = "products",
Id = 9,
Document = new Dictionary<string, object>()
{
{ "title", "goida" },
{ "price", 15 },
{ "count", 2 }
}
}
},
new()
{
Replace = new()
{
Index = "products",
Id = 100,
Document = new Dictionary<string, object>()
{
{ "title", "svo" },
{ "price", 14 },
{ "count", 3 }
}
}
},
};
var result = provider.BulkReplace(request);
// or
var resultAsync = await provider.BulkReplaceAsync(request);
Updating Documents
To update documents, use Update
method or UpdateAsync
:
var request = new UpdateRequest()
{
Index = "products",
Id = 1,
Document = new Dictionary<string, object>
{
{ "title", "tanki online" },
{ "price", 30.0f },
{ "count", 1 }
}
};
Bulk Updating Documents
To update documents, use Update
method or UpdateAsync
:
var request = new List<BulkUpdateRequest>
{
new()
{
Update = new()
{
Index = "products",
Query = new Query
{
Equals = new Dictionary<string, object>
{
{ "title", "burger" }
}
},
Document = new Dictionary<string, object>
{
{ "title", "kit kat" }
}
}
},
new()
{
Update = new()
{
Index = "products",
Query = new Query
{
Range = new Dictionary<string, QueryRange>
{
{ "price", new QueryRange { Lt = 10 } }
}
},
Document = new Dictionary<string, object>
{
{ "price", 10 }
}
}
}
};
var result = provider.BulkUpdate(request);
// or
var resultAsync = await provider.BulkUpdate(request);
Search by Documents
To search documents, use Search
method or SearchAsync
:
var request = new SearchRequest
{
Index = "articles",
Limit = 1000,
Query = new Query
{
Bool = new QueryBool
{
Must = new List<BoolMust>
{
new BoolMust
{
Match = new Dictionary<string, object>
{
{ "body", "Putin" }
}
}
},
MustNot = new List<BoolMust>
{
new BoolMust
{
Match = new Dictionary<string, object>
{
{ "body", "Trump" }
}
}
}
}
}
};
var result = provider.Search(request);
// or
var resultAsync = await provider.SearchAsync(request);
Deleting Documents
To delete documents, use Delete
method or DeleteAsync
:
var request = new DeleteRequest
{
Index = "products",
Id = 2
};
var result = provider.Delete(request);
// or
var resultAsync = await provider.DeleteAsync(request);
Bulk Deletion of Documents
To perform bulk deletion of documents use BulkDelete
method or BulkDeleteAsync
:
var request = new List<BulkDeleteRequest>
{
new()
{
Delete = new DeleteRequest
{
Index = "products",
Query = new Query
{
Range = new Dictionary<string, QueryRange>
{
{ "id", new QueryRange { Lt = 5 } }
}
}
}
},
new()
{
Delete = new DeleteRequest
{
Index = "products",
Query = new Query
{
Range = new Dictionary<string, QueryRange>
{
{ "price", new QueryRange { Gt = 10 } }
}
}
}
}
};
var result = provider.BulkDelete(request);
// or
var resultAsync = await provider.BulkDeleteAsync(request);
Working with Percolators
To index and search using percolators, use the IndexPercolate
, Percolate
, GetPercolate
and UpdatePercolate
methods and their asynchronous versions:
var resuest = new IndexPercolateRequest
{
Query = new Query
{
Match = new Dictionary<string, object>
{
{ "title", "Nasral" }
}
}
};
var result = provider.Percolate(resuest, "your_index");
// or
var resultAsync = await provider.PercolateAsync(resuest, "your_index");
Autocomplete request
Retrieves autocomplete suggestions based on the provided autocomplete query. Use the Autocomplete
or AutocompleteAsync
methods:
var request = new IndexPercolateRequest
{
Query = new Query
{
Match = new Dictionary<string, object>
{
{ "title", "Pupkin" }
}
}
};
var result = apiInstance.IndexPercolate(request, "pqtable", 5);
// or
var resultAsync = await apiInstance.IndexPercolateAsync(request, "pqtable", 5);
Mapping request
Defines a new table structure in Manticore search engine using the specified mapping properties, mimicking Elasticsearch-like table definitions. Use the UseMapping
or UseMappingAsync
methods:
var request = new MappingRequest
{
Properties = new Dictionary<string, MappingField>
{
{ "exersice", new MappingField { Type = FieldType.Keyword } },
{ "working_weight", new MappingField { Type = FieldType.Integer } },
{ "weight_limit", new MappingField { Type = FieldType.Integer } }
}
};
var result = apiInstance.UseMapping(request, "training");
// or
var resultAsync = await apiInstance.UseMappingAsync(request, "training");
Exceptions
AutocompleteException
— on Autocomplete request error.BulkException
— on Bulk request error.DeleteException
— on Delete request error.MappingException
— on Mapping request error.ModificationException
— on Modification request error.PercolateException
— on Percolate request error.SearchException
— on Search request error.SqlException
— on SQL request error.UpdateException
— on Update request error.
Cleanup
Remember to release resources by calling the Dispose
method when you are done using ManticoreProvider
.
provider.Dispose();
Building the Library
To build the library and obtain the DLL, use the following command:
cd your_directory
dotnet build
After building, you can find the DLL in the bin folder of your project and add a reference to it in your own project.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net8.0 is compatible. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
This package has no dependencies.
Initial release of ManticoreSearch.Provider providing API integration with ManticoreSearch for .NET applications. This version includes features for full-text search, autocomplete, fuzzy search, basic CRUD operations, support for custom queries and filters, and flexible indexing and query expansion options. Designed to simplify ManticoreSearch integration in .NET projects.