filters {Array<Filter>}

Filters can be used to filter out rows before aggregations occur or to exclude rows from unaggregated result sets. All of the Zoomdata field types are valid when creating a filter.

An aggregate filter object contains the following properties:

path {object}: A field Zoomdata field object
operation {string}: A Zoomdata filter operation
value {number | string | Array<string | number>}: Value(s) to use in the filter

With these three properties, you can filters of the following type:

Comparison & Equality Filters

Comparison & Equality filters specify a condition on a field with an operation and a single value. This type of filter uses the following operations:

EQUALS: Keep the rows where metric value equals the specified value
NOTEQUAL: Keep the rows where metric value does not equal the specified value
LT: Keep the rows where the metric value is less than the specified value
LE: Keep the rows where the metric value is less than or equal to the specified value
GT: Keep the rows where the metric value is greater than the specified value
GE: Keep the rows where the metric value is greater than or equal to the specified value

Example:

const filter = {
  path: { name: 'payment_type' },
  operation: 'EQUALS',
  value: 'Visa',
};

Try this example on CodeSandbox

In/Not-In List Filters

In/Not-In filters specify a condition on a field with an operation and multiple values. This type of filter uses the following operations:

IN: Keep the rows where the metric value is in the specified list of values.
NOTIN: Keep the rows where the metric value is not in the specified list of values.

Example:

const filter = {
  path: { name: 'payment_type' },
  operation: 'NOTIN',
  value: ['Diners', 'Amex'],
};

Try this example on CodeSandbox

Between Filters

Between filters specify a condition on a field with the BETWEEN operation and 2 values. This type of filter keeps the rows where the field value is between the 2 specified values.

Example:

const filter = {
  path: { name: 'transaction_date' },
  operation: 'BETWEEN',
  value: ['2009-01-10 00:00:00.000', '2009-01-15 23:59:59.999'],
};

Try this example on CodeSandbox

Case-insensitive Text Filters

Case-insensitive text filters specify a condition on a field with the EQUALSI operation and a single text value. This type of filter keeps the rows where the field value is a string equal to the specified value while disregarding case sensitivity.

Example:

const filter = {
  path: { name: 'country' },
  operation: 'EQUALSI',
  value: 'united states',
};

Try this example on CodeSandbox

Text Search Filters

Text search filters specify a condition across all fields of type TEXT in a source with the TEXT_SEARCH operation and a single text value. This type of filter is only valid in data sources powered by a Lucene based search engine, like Solr or Elastic Search. The filter keeps the rows where any of the TEXT fields match the specified value.

Example:

const filter = {
  operation: 'TEXT_SEARCH',
  value: 'bed bugs',
};

Try this example on CodeSandbox

Boolean Filters

Boolean filters specify an AND or OR condition across a list of supplied filters. This type of filters keeps the rows that intersect from the result of each filter when using the AND operation, and keeps the union of the rows from the result of each filter when using the OR operation.

Example:

const filter = {
  operation: 'OR',
  value: [
    {
      path: { name: 'country' },
      operation: 'EQUALSI',
      value: 'united states',
    },
    {
      path: { name: 'city' },
      operation: 'IN',
      value: ['London'],
    },
  ],
};