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Monday, September 26, 2011

DataView RowFilter

DataView RowFilter Syntax [C#]

This example describes syntax of DataView.RowFil¬ter expression.
It shows how to correctly build expression string (without „SQL injection“)
using
methods to escape values.

Column names

If a column name contains any of these special characters ~ ( ) # \ / = > < + - * % & | ^ ' " [ ],
you must enclose the column name within square brackets [ ]. If a column name
contains right bracket ] or backslash \, escape it with backslash (\] or \\).

[C#]

dataView.RowFilter = "id = 10";      // no special character in column name "id"

dataView.RowFilter = "$id = 10";     // no special character in column name "$id"

dataView.RowFilter = "[#id] = 10";   // special character "#" in column name "#id"

dataView.RowFilter = "[[id\]] = 10"; // special characters in column name "[id]"

 

Literals

String values are enclosed within single quotes ' '. If the string contains single
quote '
, the quote must be doubled.

[C#]

dataView.RowFilter = "Name = 'John'"        // string value

dataView.RowFilter = "Name = 'John ''A'''"  // string with single quotes "John 'A'"

 

dataView.RowFilter = String.Format("Name = '{0}'", "John 'A'".Replace("'", "''"));

 

Number values are not enclosed within any characters. The values should be the same 
as
is the result of int.ToString() or float.ToString() method for invariant or
English culture.

[C#]

dataView.RowFilter = "Year = 2008"          // integer value

dataView.RowFilter = "Price = 1199.9"       // float value

 

dataView.RowFilter = String.Format(CultureInfo.InvariantCulture.NumberFormat,

                     "Price = {0}", 1199.9f);

 

Date values are enclosed within sharp characters # #. The date format is the
same as is the result of DateTime.ToString() method for invariant or English
culture.

[C#]

dataView.RowFilter = "Date = #12/31/2008#"          // date value (time is 00:00:00)

dataView.RowFilter = "Date = #2008-12-31#"          // also this format is supported

dataView.RowFilter = "Date = #12/31/2008 16:44:58#" // date and time value

 

dataView.RowFilter = String.Format(CultureInfo.InvariantCulture.DateTimeFormat,

                     "Date = #{0}#", new DateTime(2008, 12, 31, 16, 44, 58));

 

Alternatively you can enclose all values within single quotes ' '. It means you
can use string values for numbers or date time values. In this case the current
culture is used to convert the string to the specific value.

[C#]

dataView.RowFilter = "Date = '12/31/2008 16:44:58'" // if current culture is English

dataView.RowFilter = "Date = '31.12.2008 16:44:58'" // if current culture is German

 

dataView.RowFilter = "Price = '1199.90'"            // if current culture is English

dataView.RowFilter = "Price = '1199,90'"            // if current culture is German

 

Comparison operators

Equal, not equal, less, greater operators are used to include only values that suit
to a comparison expression. You can use these operators = <> < <= >
>=.

Note: String comparison is culture-sensitive, it uses CultureInfo from
DataTable.Locale property of related table (dataView.Table.Locale). If the property
is not explicitly set, its default value is DataSet.Locale (and its default value
is current system culture Thread.Curren¬tThread.Curren¬tCulture).

[C#]

dataView.RowFilter = "Num = 10"             // number is equal to 10

dataView.RowFilter = "Date < #1/1/2008#"    // date is less than 1/1/2008

dataView.RowFilter = "Name <> 'John'"       // string is not equal to 'John'

dataView.RowFilter = "Name >= 'Jo'"         // string comparison

 

Operator IN is used to include only values from the list. You can use the operator
for all data types, such as numbers or strings.

[C#]

dataView.RowFilter = "Id IN (1, 2, 3)"                    // integer values

dataView.RowFilter = "Price IN (1.0, 9.9, 11.5)"          // float values

dataView.RowFilter = "Name IN ('John', 'Jim', 'Tom')"     // string values

dataView.RowFilter = "Date IN (#12/31/2008#, #1/1/2009#)" // date time values

 

dataView.RowFilter = "Id NOT IN (1, 2, 3)"  // values not from the list

 

Operator LIKE is used to include only values that match a pattern with wildcards.
Wildcard character is * or %, it can be at the beginning of a pattern '*value',
at the end 'value*', or at both '*value*'. Wildcard in the middle of a
patern 'va*lue' is not allowed.

[C#]

dataView.RowFilter = "Name LIKE 'j*'"       // values that start with 'j'

dataView.RowFilter = "Name LIKE '%jo%'"     // values that contain 'jo'

 

dataView.RowFilter = "Name NOT LIKE 'j*'"   // values that don't start with 'j'

 

If a pattern in a LIKE clause contains any of these special characters * % [ ],
those characters must be escaped in brackets [ ] like this [*], [%], [[] or []].

[C#]

dataView.RowFilter = "Name LIKE '[*]*'"     // values that starts with '*'

dataView.RowFilter = "Name LIKE '[[]*'"     // values that starts with '['

 

The following method escapes a text value for usage in a LIKE clause.

[C#]

public static string EscapeLikeValue(string valueWithoutWildcards)

{

  StringBuilder sb = new StringBuilder();

  for (int i = 0; i < valueWithoutWildcards.Length; i++)

  {

    char c = valueWithoutWildcards[i];

    if (c == '*' || c == '%' || c == '[' || c == ']')

      sb.Append("[").Append(c).Append("]");

    else if (c == '\'')

      sb.Append("''");

    else

      sb.Append(c);

  }

  return sb.ToString();

}

 

[C#]

// select all that starts with the value string (in this case with "*")

string value = "*";

// the dataView.RowFilter will be: "Name LIKE '[*]*'"

dataView.RowFilter = String.Format("Name LIKE '{0}*'", EscapeLikeValue(value));

 

Boolean operators

Boolean operators AND, OR and NOT are used to concatenate expressions.
Operator NOT has precedence over AND operator and it has precedence over
OR operator.

[C#]

// operator AND has precedence over OR operator, parenthesis are needed

dataView.RowFilter = "City = 'Tokyo' AND (Age < 20 OR Age > 60)";

 

// following examples do the same

dataView.RowFilter = "City <> 'Tokyo' AND City <> 'Paris'";

dataView.RowFilter = "NOT City = 'Tokyo' AND NOT City = 'Paris'";

dataView.RowFilter = "NOT (City = 'Tokyo' OR City = 'Paris')";

dataView.RowFilter = "City NOT IN ('Tokyo', 'Paris')";

 

Arithmetic and string operators

Arithmetic operators are addition +, subtraction -, multiplication *,
division / and modulus %.

[C#]

dataView.RowFilter = "MotherAge - Age < 20";   // people with young mother

dataView.RowFilter = "Age % 10 = 0";           // people with decennial birthday

 

There is also one string operator concatenation +.

Parent-Child Relation Referencing

A parent table can be referenced in an expression using parent column name with
Parent. prefix. A column in a child table can be referenced using child column
name with Child. prefix.

The reference to the child column must be in an aggregate function because child
relationships may return multiple rows. For example expression SUM(Child.Price)
returns sum of all prices in child table related to the row in parent table.

If a table has more than one child relation, the prefix must contain relation name.
For example expression Child(OrdersToItemsRelation).Price references to column
Price in child table using relation named OrdersToItemsRe¬lation.

Aggregate Functions

There are supported following aggregate functions SUM, COUNT, MIN, MAX,
AVG (average), STDEV (statistical standard deviation) and VAR (statistical variance).


This example shows aggregate function performed on a single table.

[C#]

// select people with above-average salary

dataView.RowFilter = "Salary > AVG(Salary)";

 

Following example shows aggregate functions performed on two tables which have
parent-child relation. Suppose there are tables Orders and Items with the
parent-child relation.

[C#]

// select orders which have more than 5 items

dataView.RowFilter = "COUNT(Child.IdOrder) > 5";

 

// select orders which total price (sum of items prices) is greater or equal $500

dataView.RowFilter = "SUM(Child.Price) >= 500";

 

Functions

There are also supported following functions. Detailed description can be found here DataColumn.Ex¬pression.

•    CONVERT – converts particular expression to a specified .NET Framework type

•    LEN – gets the length of a string

•    ISNULL – checks an expression and either returns the checked expression or
a replacement value

•    IIF – gets one of two values depending on the result of a logical expression

•    TRIM – removes all leading and trailing blank characters like \r, \n, \t, ‚ ‘

•    SUBSTRING – gets a sub-string of a specified length, starting at a specified
point in the string

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