Filtering
The PivotGrid supports filtering both in the OLAP and flat data-binding scenarios.
The PivotGrid uses kendo.data.PivotDataSource to perform label filtration. However, it filters only by the caption value of the members.
The filter descriptor is similar to the filter option of the kendo.data.DataSource and contains the following options:
-
field—The full path to the tuple member. For example,[Date].[Calendar].[Calendar Year].&[2005]. -
operator—All operators that work with strings. Note that the component treats field values as strings. -
value—The filter value.
Filtering when using Xmla DataSource
To set a predefined filter when using Xmla data use the above-described approach and set the filter configuration of the dataSource, following the guidelines for MDX queries and Members, Tuples, and Sets.
The example below demonstrates how to filter data only for cities starting with "Ab" for the years 2010 and 2014:
<div id="pivotgrid"></div>
<script>
$("#pivotgrid").kendoPivotGrid({
height: 550,
filterable: true,
dataSource: {
type: "xmla",
columns: [{ name: "[Date].[Calendar]", expand: true }, { name: "[Geography].[City]" } ],
rows: [{ name: "[Product].[Product]" }],
measures: ["[Measures].[Internet Sales Amount]"],
transport: {
connection: {
catalog: "Adventure Works DW 2008R2",
cube: "Adventure Works"
},
read: {
url: "https://demos.telerik.com/olap/msmdpump.dll",
dataType: "text",
contentType: "text/xml",
type: "POST"
}
},
schema: {
type: "xmla"
},
filter: [
{
field:"[Geography].[City]",
operator:"startswith",
value:"Ab"
},{
field: "[Date].[Calendar]",
operator: "in",
value: "[Date].[Calendar].[Calendar Year].&[2010],[Date].[Calendar].[Calendar Year].&[2014]"}
]
}
});
</script>
Filtering when using Flat Data
Build the filter descriptor similar to the filter option of the kendo.data.DataSource, keeping in mind the field values are treated as strings.
For example, to filter a PivotGrid bound to local data for products starting with "C" that are discontinued you can provide a filter configuration as demonstrated below:
dataSource: {
data: products,
schema: {
model: {
fields: {
ProductName: { type: "string" },
UnitPrice: { type: "number" },
UnitsInStock: { type: "number" },
Discontinued: { type: "boolean" },
CategoryName: { field: "Category.CategoryName" }
}
},
cube: {
dimensions: {
ProductName: { caption: "All Products" },
CategoryName: { caption: "All Categories" },
Discontinued: { caption: "Discontinued" }
},
measures: {
"Sum": { field: "UnitPrice", format: "{0:c}", aggregate: "sum" },
"Average": { field: "UnitPrice", format: "{0:c}", aggregate: "average" }
}
}
},
columns: [{ name: "CategoryName", expand: true }, { name: "ProductName" } ],
rows: [{ name: "Discontinued", expand: true }],
measures: ["Sum"],
filter:[{field: "ProductName", operator: "startswith", value: "C"},
{field: "Discontinued", operator: "eq", value: true}]
}