CSG QueryBuilder and Data Tools

This package provides an SQL query builder for generating dynamic-SQL statements in .NET and .NET Core applications.

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Early releases can be found on the CSG Public MyGet feed.

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APIs

You can use the QueryBuilder using the Fluent API or the native object model. You may also want to use the QueryBuilder together with Csg.Data.Dapper.

Fluent API

Note about parameterization and SQL text

Unless otherwise noted, the literal values shown in the example rendered queries would always be rendered as parameter references. The parameter values are shown as literals for ease of understanding. In addition, the example SQL output is not exactly what is rendered, but is simplified for demonstration purposes.

QueryBuilder Extension Method

Querybuilder is an extension method for IDbConnection, so it can be used with most DB connection types, such as SqlConnection, DbConnection, etc. by adding a using Csg.Data; in your code file.

Query builders can also be created from a transaction, if you need to execute a query in an existing transaction.

using Csg.Data;
...
void SomeMethod()
{
    IDbConnection connection = ...;
    // QueryBuilder is an extension method for IDbConnection
    var query = connection.QueryBuilder(...);

    IDbTransaction transaction = connection.BeginTransaction();
    transaction.QueryBuilder(...);
...
}

Create a querybuilder using a Table or View Name

var query = connection.QueryBuilder("dbo.Product");

Create a querybuilder using a SQL query

If you give the query builder an existing SQL statement, it must be a SQL statement that can be wrapped in an outer query in the form SELECT <columns> FROM (<inner query>);

var query = connection.QueryBuilder("SELECT ProductID, Name FROM dbo.Product");

Add a simple equality filter

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<bool>("IsActive", true));
// SELECT * FROM dbo.Product WHERE IsActive=1;

Which is equivalent to

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldMatch<bool>("IsActive", SqlOperator.Equal, true));
// SELECT * FROM dbo.Product WHERE IsActive=1;

Add a comparison filter

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldMatch<decimal>("Price", SqlOperator.GreaterThan, 100M));
// SELECT * FROM dbo.Product WHERE Price > 100;
var query2 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldMatch<decimal>("Price", SqlOperator.LessThanOrEqual, 100M));
// SELECT * FROM dbo.Product WHERE Price <= 100;

Add a between filter

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldBetween<decimal>("Price", 100, 200))   
// SELECT * FROM dbo.Product WHERE Price >= 100 AND Price <= 200;

Add a NULL or NOT NULL filter

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldIsNull("ExpirationDate"))   
// SELECT * FROM dbo.Product WHERE ExpirationDate IS NULL;
var query2 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldIsNotNull("ExpirationDate"))   
// SELECT * FROM dbo.Product WHERE ExpirationDate IS NOT NULL;

String Comparisons

It is important to specify IsAnsi: true when using FieldEquals(), FieldMatch() or StringMatch() with string values defined in the database as char or varchar so the correct parameter data types are generated. This can affect the performance of the executed query dramatically.

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<string>("NameNVarChar", "Red Apple"));

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<string>("NameVarChar", "Red Apple", isAnsi: true));

To generate pattern matching (LIKE) filters, use the .StringMatch() method. The SqlWildcardDecoration enum parameter indicates whether the given value should be automatically wrapped with SQL wildcard characters as %value% value%, %value or not at all. If the input string contains asterisk (*) or question marks (?) they will be replaced with the SQL equivalent of % and _ respectively.

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.StringMatch("Description", SqlWildcardDecoration.Contains, "Fruit"));
// SELECT * FROM dbo.Product WHERE Description LIKE '%Fruit%';
var query2 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.StringMatch("Description", SqlWildcardDecoration.BeginsWith, "Fruit"));
// SELECT * FROM dbo.Product WHERE Description LIKE 'Fruit%';
var query3 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.StringMatch("Description", SqlWildcardDecoration.None, "Fruit"));
// SELECT * FROM dbo.Product WHERE Description LIKE 'Fruit';

Manually specify a parameter data type

Type mapping from .NET types to System.Data.DbType is performed when creating parameters, however sometimes it may be necessary to specify the type or size of the generated parameter manually. FieldEquals(), FieldMatch() and FieldBetween() support specifying both the type and size, and StringMatch supports specifying the length.

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals("Code", 100, dbType: System.Data.DbType.Byte));
// SELECT * FROM dbo.Product WHERE Code = @Code;
// @Code would be declared as tinyint in SQL Server

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<string>("Code", "AB", dbType: System.Data.DbType.AnsiStringFixedLength, length: 2)));
// SELECT * FROM dbo.Product WHERE Code = @Code;
// @Code would be declared as char(2) in SQL Server

List filters

WHERE IN (list,of,values) and WHERE NOT IN (list,of,values) filters can be built using FieldIn() and FieldNotIn()

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldIn("CategoryID", new int[] { 10, 20, 30 }));
// SELECT * FROM dbo.Product WHERE CategoryID IN (10,20,30);

var query2 = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldNotIn("CategoryID", new int[] { 10, 20, 30 }));
// SELECT * FROM dbo.Product WHERE CategoryID NOT IN (10,20,30);

In the above examples, the values in the comma seperated list in the generated SQL text would be parameterized in the form of (@p0, @p1, @p2) etc. If you want to generate literal values for numeric data types, specify the useLiteralNumbers argument. This feature is currently only supported for Int16, Int32, and Int64 data types. All other data types will be rendered parameterized regardless of the useLiteralNumbers value. Boolean values are always rendered as literal 1 and 0.

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(x => .FieldIn("CategoryID", new int[] { 10, 20, 30 }, useLiteralNumbers: true));
// SELECT * FROM dbo.Product WHERE CategoryID IN (10, 20, 30);

var query2 = connection.QueryBuilder("dbo.Product")
    .Where(x => .FieldIn<bool>("CategoryID", new bool[] { true, false, true }));
// SELECT * FROM dbo.Product WHERE CategoryID IN (1, 0, 1);

Sub-Query Matching Filters

WHERE IN (SELECT <cols> FROM <table> WHERE <conditions>) filters can be built using FieldInSubQuery() and FieldNotInSubQuery().

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(where => where.FieldInSubQuery("ProductID", "dbo.ProductAttribute", "ProductID",
        subWhere => subWhere.FieldMatch("AttributeName", SqlOperator.Equal, "Color")
            .FieldIn("AttributeValue", new string[] { "Red", "Green" })
    ));
// SELECT * FROM dbo.Product WHERE ProductID IN (SELECT ProductID FROM dbo.ProductAttribute WHERE AttributeName=='Color' AND AttributeValue IN ('Red','Green'));

var query2 = connection.QueryBuilder("dbo.Product")
    .Where(where => where.FieldNotInSubQuery("ProductID", "dbo.ProductAttribute", "ProductID",
        subWhere => subWhere.FieldMatch("AttributeName", SqlOperator.Equal, "Color")
            .FieldIn("AttributeValue", new string[] { "Blue", "Pink" })
    ));
// SELECT * FROM dbo.Product WHERE ProductID NOT IN (SELECT ProductID FROM dbo.ProductAttribute WHERE AttributeName=='Color' AND AttributeValue IN ('Blue','Pink'));

Sub-Query Counting Filters

WHERE (SELECT COUNT(<something>) FROM <table> WHERE <conditions>) <count condition> filters can be built using SubQueryCount().

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(where => where.SubQueryCount("dbo.ProductAttribute", "ProductID", SqlOperator.GreaterThanOrEqual, 2,
        subWhere => subWhere.FieldEquals("ProductID", builder.Root, "ProductID").FieldMatch("AttributeName", SqlOperator.Equal, "Color")
    ));
// SELECT * FROM dbo.Product WHERE (SELECT COUNT(ProductID) FROM dbo.ProductAttribute WHERE ProductID=dbo.Product.ProductID AND AttributeName=='Color') >= 2;

Sub-Query Exists Filters

WHERE EXISTS (<query expression>) filters can be built using Exists().

var query1 = connection.QueryBuilder("dbo.Product")
    .Where(where => where.Exists("dbo.ProductAttribute",
        subWhere => subWhere.FieldEquals("ProductID", builder.Root, "ProductID").FieldMatch("AttributeName", SqlOperator.Equal, "Color")
    ));
// SELECT * FROM dbo.Product WHERE EXISTS (SELECT 1 FROM dbo.ProductAttribute WHERE ProductID=dbo.Product.ProductID AND AttributeName=='Color');

Creating multiple groups of filters with OR logic

Multiple conditions can be added using a single .Where() method, but each of these conditions will be joined using AND logic. If you want to join multiple criteria with OR logic, use the .WhereAny() method.

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<bool>("IsActive", true).FieldMatch<decimal>("Price", SqlOperator.GreaterThan, 100M))
    .WhereAny(x => x.FieldEquals("Color", "Red").FieldEquals("Color", "Green").FieldEquals("Color", "Blue"));
    
/*
SELECT * 
FROM WHERE dbo.Product 
WHERE (IsActive=1 AND Price >= 100) 
    AND (Color = 'Red' OR Color = 'Green' OR Color = 'Blue');
*/

Select specific columns

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<bool>("IsActive", true))
    .Select("ProductID", "Name");
    
/*
SELECT ProductID, Name
FROM WHERE dbo.Product 
WHERE (IsActive=1);    
*/

Sorting

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<bool>("IsActive", true))
    .OrderBy("Name", "CreateDate")
    
/*
SELECT ProductID, Name
FROM WHERE dbo.Product 
WHERE (IsActive=1)
ORDER BY Name, CreateDate;
*/

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<bool>("IsActive", true))
    .OrderBy("Name")
    .OrderByDescending("CreateDate");
/*
SELECT ProductID, Name
FROM WHERE dbo.Product 
WHERE (IsActive=1)
ORDER BY Name, CreateDate DESC;
*/

Build a command object from a query

var cmd = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<bool>("IsActive", true))
    .CreateCommand();

/*
Generates an IDbCommand instance with the CommandText property and parameters collection
initialized similiar to:
SELECT ProductID, Name FROM dbo.Product WHERE IsActive=1;
*/

Execute a query and get a IDataReader

var reader = connection.QueryBuilder("dbo.Product"))
    .Where(x => x.FieldEquals<bool>("IsActive", true))
    .ExecuteReader();

var productName = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<int>("ProductID", 123))
    .Select("Name")
    .ExecuteScalar<string>();

Render a query to a string and a parameter collection

If you need the SQL text and parameter values, render the query with Render()

var statement = connection.QueryBuilder("dbo.Product").Render();
// statement.CommandText is a string contaiing the rendered SQL statement.
// statement.Parameters is a collection of parameter value objects.

Query Cloning

The fluent API Where() and WhereAny() methods create a clones of the original query before making modifications. Multiple forks of the same query can be created by assigning the results of Where() and WhereAny() to variables.

var query = connection.QueryBuilder("dbo.Product")
    .Where(x => x.FieldEquals<bool>("IsActive", true));

var query1 = query.Where(x => x.FieldEquals<string>("Color", "Red"));
//  SELECT * FROM dbo.Product WHERE IsActive=1 AND Color='Red;

var query2 = query.Where(x => x.FieldEquals<string>("IsActive", "Green"));
// SELECT * FROM dbo.Product WHERE IsActive=1 AND Color='Green';

var query3 = query1.Where(x => x.FieldEquals<string>("Category", "Veggies"));
// SELECT * FROM dbo.Product WHERE IsActive=1 AND Color='Red' AND Category='Veggies' ;

// adding additional filters to the same field doesn't modify the filter already in place
var query4 = query1.Where(x => x.FieldEquals<bool>("IsActive", false));
// SELECT * FROM dbo.Product WHERE IsActive=1 AND Color='Red' AND Category='Veggies' AND IsActive=0;

Conditional Filter Application Scenario

A common application of the QueryBuilder is in building a dynamic WHERE clause for a query based on various input parameters that may or may not have values provided. Below is an example of a ListProducts() method for such a scenario.

public static IEnumerable<Product> ListProducts(bool? isActive, string productName, string color, IEnumerable<int> categoryIDs)
{
    var query = connection.QueryBuilder("dbo.Product");

    if (isActive.HasValue)
    {
        query = query.Where(x => x.FieldEquals("IsActive", isActive.Value));
    }

    if (!string.IsNullOrEmpty(productName))
    {
        query = query.Where(x => x.StringMatch("Name", SqlWildcardDecoration.Contains, productName));
    }

    if (!string.IsNullOrEmpty(color))
    {
        query = query.Where(x => x.FieldEquals("Color", color, isAnsi: true));
    }

    if (categoryIDs != null)
    {
        query = query.Where(x => x.FieldIn("CategoryID", categoryIDs));
    }

    // execute query and return data omitted        
}

Filter a query using a collection of criteria

If you need to add multiple sets of filter criteria joined using OR logic, use WhereAny() giving it an IList or IEnumerable as the first argument. Tuples are used for this example, but the collection can be of any type.

var query = connection.QueryBuilder("dbo.Product");

var listOfThings1 = new string[] { "a", "b", "c" };
var listOfThings2 = new string[] { "d", "e", "f" };

var listOfCriteria = new List<(int ProductCategoryID, int SupplierID, string[] Names)>
{
    (ProductCategoryID: 123, SupplierID: 456, Names: listOfThings1),
    (ProductCategoryID: 999, SupplierID: 888, Names: listOfThings2),
};

builder = builder.Where(x => x.FieldEquals<bool>("IsActive", true));
builder = builder.WhereAny(
    listOfCriteria,
    (x, f) => x.FieldEquals("ProductCategoryID", f.ProductCategoryID)
            .FieldEquals("SupplierID", f.SupplierID)
            .FieldIn("ThingName", f.Names)
);


/* Query Result (formatted manually)
SELECT * 
FROM [dbo].[Product] AS [t0] 
WHERE ([t0].[Foo] = @p0)
    AND (
        (([t0].[ProductCategoryID]=@p1) AND ([t0].[SupplierID]=@p2) AND ([t0].[ThingName] IN (@p3,@p4,@p5))) 
        OR (([t0].[ProductCategoryID]=@p6) AND ([t0].[SupplierID]=@p7) AND ([t0].[ThingName] IN (@p8,@p9,@p10)))
    );
*/

Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
Csg.Data.Sql.Tests		Csg.Data.Sql.Tests
Csg.Data		Csg.Data
build		build
.gitignore		.gitignore
Csg.Data.sln		Csg.Data.sln
Directory.Build.props		Directory.Build.props
LICENSE		LICENSE
LICENSE.md		LICENSE.md
README.md		README.md
azure-pipelines.yml		azure-pipelines.yml
build.cmd		build.cmd
global.json		global.json
version.json		version.json

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CSG QueryBuilder and Data Tools

CI and Pre-Release Feed

Get Started

APIs

Fluent API

Note about parameterization and SQL text

QueryBuilder Extension Method

Create a querybuilder using a Table or View Name

Create a querybuilder using a SQL query

Add a simple equality filter

Add a comparison filter

Add a between filter

Add a NULL or NOT NULL filter

String Comparisons

Manually specify a parameter data type

List filters

Sub-Query Matching Filters

Sub-Query Counting Filters

Sub-Query Exists Filters

Creating multiple groups of filters with OR logic

Select specific columns

Sorting

Build a command object from a query

Execute a query and get a IDataReader

Render a query to a string and a parameter collection

Query Cloning

Conditional Filter Application Scenario

Filter a query using a collection of criteria

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CSG QueryBuilder and Data Tools

CI and Pre-Release Feed

Get Started

APIs

Fluent API

Note about parameterization and SQL text

QueryBuilder Extension Method

Create a querybuilder using a Table or View Name

Create a querybuilder using a SQL query

Add a simple equality filter

Add a comparison filter

Add a between filter

Add a NULL or NOT NULL filter

String Comparisons

Manually specify a parameter data type

List filters

Sub-Query Matching Filters

Sub-Query Counting Filters

Sub-Query Exists Filters

Creating multiple groups of filters with OR logic

Select specific columns

Sorting

Build a command object from a query

Execute a query and get a IDataReader

Render a query to a string and a parameter collection

Query Cloning

Conditional Filter Application Scenario

Filter a query using a collection of criteria

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