When you create an expression, use the ColumnName property to refer to columns. For example, if the ColumnName for one column is "UnitPrice", and another "Quantity", the expression would be as follows:

"UnitPrice * Quantity"

Note
If a column is used in an expression, then the expression is said to have a dependency on that column. If a dependent column is renamed or removed, no exception is thrown. An exception will be thrown when the now-broken expression column is accessed.

When you create an expression for a filter, enclose strings with single quotation marks:

"LastName = 'Jones'"

If a column name contains any non-alphanumeric characters or starts with a digit or matches (case-insensitively) any of the following reserved words, it requires special handling, as described in the following paragraphs.

And

Between

Child

False

In

Is

Like

Not

Null

Or

Parent

True

If a column name satisfies one of the above conditions, it must be wrapped in either square brackets or the "`" (grave accent) quotes. For example, to use a column named "Column#" in an expression, you would write either "[Column#]":

Total * [Column#]

or "`Column#`":

Total * `Column#`

If the column name is enclosed in square brackets then any ']' and '\' characters (but not any other characters) in it must be escaped by prepending them with the backslash ("\") character. If the column name is enclosed in grave accent characters then it must not contain any grave accent characters in it. For example, a column named "Column[]\" would be written:

Total * [Column[\]\\]

or

Total * `Column[]\`

User-defined values may be used within expressions to be compared with column values. String values should be enclosed within single quotation marks (and each single quotation character in a string value has to be escaped by prepending it with another single quotation character). Date values should be enclosed within pound signs (#) or single quotes (') based on the data provider. Decimals and scientific notation are permissible for numeric values. For example:

"FirstName = 'John'"

"Price <= 50.00"

"Birthdate < #1/31/82#"

For columns that contain enumeration values, cast the value to an integer data type. For example:

"EnumColumn = 5"

All literal expressions must be expressed in the invariant culture locale. When DataSet parses and converts literal expressions, it always uses the invariant culture, not the current culture.

String literals are identified when there are single quotes surrounding the value. For example:

'John'

Boolean literals are true and false; they are not quoted in expressions.

Integer literals [+-]?[0-9]+ are treated as System.Int32, System.Int64 or System.Double. System.Double can lose precision depending on how large the number is. For example, if the number in the literal is 2147483650, DataSet will first attempt to parse the number as an Int32. This will not succeed because the number is too large. In this case DataSet will parse the number as an Int64, which will succeed. If the literal was a number larger than the maximum value of an Int64, DataSet will parse the literal using Double.

Real literals using scientific notation, such as 4.42372E-30, are parsed using System.Double.

Real literals without scientific notation, but with a decimal point, are treated as System.Decimal. If the number exceeds the maximum or minimum values supported by System.Decimal, then it is parsed as a System.Double. For example:

142526.144524 will be converted to a Decimal.

345262.78036719560925667 will be treated as a Double.

Concatenation is allowed using Boolean AND, OR, and NOT operators. You can use parentheses to group clauses and force precedence. The AND operator has precedence over other operators. For example:

(LastName = 'Smith' OR LastName = 'Jones') AND FirstName = 'John'

When you create comparison expressions, the following operators are allowed:

<

>

<=

>=

<>

=

IN

LIKE

The following arithmetic operators are also supported in expressions:

+ (addition)

- (subtraction)

* (multiplication)

/ (division)

% (modulus)

To concatenate a string, use the + character. The value of the CaseSensitive property of the DataSet class determines whether string comparisons are case-sensitive. However, you can override that value with the CaseSensitive property of the DataTable class.

Both the * and % can be used interchangeably for wildcard characters in a LIKE comparison. If the string in a LIKE clause contains a * or %, those characters should be enclosed in brackets ([]). If a bracket is in the clause, each bracket character should be enclosed in brackets (for example [[] or []]). A wildcard is allowed at the start and end of a pattern, or at the end of a pattern, or at the start of a pattern. For example:

"ItemName LIKE '*product*'"

"ItemName LIKE '*product'"

"ItemName LIKE 'product*'"

Wildcard characters are not allowed in the middle of a string. For example, 'te*xt' is not allowed.

A parent table may be referenced in an expression by prepending the column name with Parent. For example, the Parent.Price references the parent table's column named Price.

When a child has more than one parent row, use Parent(RelationName).ColumnName. For example, the Parent(RelationName).Price references the parent table’s column named Price via the relation.

A column in a child table may be referenced in an expression by prepending the column name with Child. However, because child relationships may return multiple rows, you must include the reference to the child column in an aggregate function. For example, Sum(Child.Price) would return the sum of the column named Price in the child table.

If a table has more than one child, the syntax is: Child(RelationName). For example, if a table has two child tables named Customers and Orders, and the DataRelation object is namedCustomers2Orders, the reference would be as follows:

Avg(Child(Customers2Orders).Quantity)

The following aggregate types are supported:

Sum (Sum)

Avg (Average)

Min (Minimum)

Max (Maximum)

Count (Count)

StDev (Statistical standard deviation)

Var (Statistical variance).

Aggregates are ordinarily performed along relationships. Create an aggregate expression by using one of the functions listed earlier and a child table column as detailed in Parent/Child Relation Referencing that was discussed earlier. For example:

Avg(Child.Price)

Avg(Child(Orders2Details).Price)

An aggregate can also be performed on a single table. For example, to create a summary of figures in a column named "Price":

Sum(Price)

Note
If you use a single table to create an aggregate, there would be no group-by functionality. Instead, all rows would display the same value in the column.

If a table has no rows, the aggregate functions will return null.

Data types can always be determined by examining the DataType property of a column. You can also convert data types using the Convert function, shown in the following section.

An aggregate can only be applied to a single column and no other expressions can be used inside the aggregate.

The following functions are also supported:

CONVERT

Example: myDataColumn.Expression="Convert(total, 'System.Int32')"

All conversions are valid with the following exceptions: Boolean can be coerced to and from Byte, SByte, Int16, Int32, Int64, UInt16, UInt32, UInt64, String and itself only. Char can be coerced to and from Int32, UInt32, String, and itself only. DateTime can be coerced to and from String and itself only. TimeSpan can be coerced to and from String and itself only.

LEN

Example: myDataColumn.Expression="Len(ItemName)"

ISNULL

Example: myDataColumn.Expression="IsNull(price, -1)"

IIF

Example: myDataColumn.Expression = "IIF(total>1000, 'expensive', 'dear')

TRIM

SUBSTRING

Example: myDataColumn.Expression = "SUBSTRING(phone, 7, 8)"

Note
You can reset the Expression property by assigning it a null value or empty string. If a default value is set on the expression column, all previously filled rows are assigned the default value after the Expression property is reset.

<pre name="code" class="csharp">private void CalcColumns()
{DataTable table = new DataTable ();// Create the first column.DataColumn priceColumn = new DataColumn();priceColumn.DataType = System.Type.GetType("System.Decimal");priceColumn.ColumnName = "price";priceColumn.DefaultValue = 50;// Create the second, calculated, column.DataColumn taxColumn = new DataColumn();taxColumn.DataType = System.Type.GetType("System.Decimal");taxColumn.ColumnName = "tax";taxColumn.Expression = "price * 0.0862";// Create third column.DataColumn totalColumn = new DataColumn();totalColumn.DataType = System.Type.GetType("System.Decimal");totalColumn.ColumnName = "total";totalColumn.Expression = "price + tax";// Add columns to DataTable.table.Columns.Add(priceColumn);table.Columns.Add(taxColumn);table.Columns.Add(totalColumn);DataRow row = table.NewRow();table.Rows.Add(row);DataView view = new DataView(table);dataGrid1.DataSource = view;
}