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A query tree structure, along with order and paging specifiers, allows a search to be performed against indexed documents held in ElasticSearch. The query API allows any required sub-query structure to be defined and a comprehensive selection of Operators enable individual field level evaluation.

JavaScript
search(query: Query): Promise<PagedList<Entry>>

search(query: Query, linkDepth: number): Promise<PagedList<Entry>>

Query

This example demonstrates a simple search with default ordering and paging options.

JavaScript
const { Query, Op } = require("contensis-delivery-api");

const query = new Query(
    Op.contains('title', 'Batman'),
    Op.greaterThan('runtime', 200)
);

ContensisClient.entries.search(query).then(function(films) {
    // films are available
    // films.pageIndex
    // films.pageSize
    // films.totalCount
    // films.items

}, function(error) {
    console.error(error);
});

Sub-queries

A sub-query is a query within another query that is used as a condition to further restrict the results. Effectively they are defined by an explicit nesting of logical operators.

This example demonstrates a simple search with a sub-query.

JavaScript
const query = new Query(
    Op.contains('title', 'Batman'),
    Op.or(
        Op.greaterThan('releaseDate', 1960),
        Op.contains('tagline', 'gotham')
    )
);

Location searches

Search for locations within a radius of a specified location.

Supported distance units

Unit Search value
Mile mi or miles
Yard yd or yards
Feet ft or feet
Inch in or inch
Kilometer km or kilometers
Meter m or meters
Centimeter cm or centimeters
Millimeter mm or millimeters
Nautical mile NM, nmi or nauticalmiles

Example

Find all entries which have a location within 10.5 miles of Ludlow Castle's location.
Append the search value at the end of the distance specified, so for example "10.5mi" or "10.5miles".

JavaScript
const query = new Query(
  Op.distanceWithin("location", 52.377, -2.749, "10mi"))
);

When searching for a location field, you can also order the results by distance.

Ordering

Results can be ordered by one or more fields in an ascending or descending direction. Order clauses are prioritised in the order that they are added. By default, if no order clauses are specified then the entry results are ordered by:

  • A relevancy 'score' for each entry for the search query (from ElasticSearch) in a descending direction
  • The EntryTitle in an ascending direction.

This is the best solution for searches using a search term of some kind as it will promote the most relevant results to the top of the results. However, this can occasionally mean that an odd entry might appear on more than one page as the relevancy score is dynamically calculated on each paged request. As such, if you intend to page through the complete result set without any duplicates you should always specify an order by field.

JavaScript
const OrderBy = Zengenti.Contensis.OrderBy;

Ascending order

Order by 'releaseDate' in an ascending direction.

JavaScript
query.orderBy = OrderBy.asc('releaseDate');

Descending order

Order by 'releaseDate' in a descending direction.

JavaScript
query.orderBy = OrderBy.desc('releaseDate');

Multiple clauses

Multiple order clauses.

JavaScript
query.orderBy = OrderBy.asc('title').desc('releaseDate');

Paging

Paging allows the number of results to be restricted to a defined count so that the results are easier to handle and ensures a response is returned quickly. The page number can also be specified to define which set of results is to be returned.

If you intend to page through the complete result set without any duplicates you should always specify an order by field. The page size is limited to a maximum of 10,000, however this is not recommended.

JavaScript
query.pageSize = 50;
query.pageIndex = 1;

Weighting

All query operators can have a weight applied.

JavaScript
const query = new Query(
  Op.equalTo('first', 7).weight(10)
);

Specifying fields

System fields

System fields such as id, contentTypeId, projectId, versionNo etc. are under the sys object and can be accessed using a dot notation, e.g. sys.id, sys.contentTypeId, sys.projectId, sys.version.versionNo.

The entryTitle field is a dynamic value, determined by the EntryTitleField value in the content type.

Data fields

Fields defined in the content type for the entry can be accessed by their API id.

All fields

All fields can be searched by specifying an asterisk (*) in the field id. Note there are some limitations, and the FreeText operator is not supported for all fields.

Example

JavaScript
const query = new Query(
  Op.equalTo('*', "Interstellar")
);

Array fields

Searching on array fields require square brackets [] to be specified in the field id before any field ids within the object. Note that this syntax is not required for single object fields. All operators support searching across array fields.

This example searches for a quote source of "Bruce Willis" within a quote array field called movieQuote.

JavaScript
const query = new Query(
  Op.equalTo('movieQuote[].source', "Bruce Willis")
);

Limiting fields

If you have large entries and only require a subset of fields it is worth limiting the fields returned in the results. This will reduce the size of the payload from the API which in turn will improve performance. You can include fields by specifiying the field API ID or you can exclude fields by prefixing the field API ID with a -. Field limiting also applies to linked entries when specifying a linkDepth.

JavaScript
query.fields = ['entryTitle', 'description'];

Keeping check on payload sizes when using linkDepth of more than 0, we can also set fieldLinkDepths in the query, specifying which entry link field(s) require link depth resolving and to what depth.

JavaScript
query.fieldLinkDepths = { 'linkField': 2, 'otherField': 1 };

Ordering by distance

When searching by location, to return the search results according to the distance of the location field in each entry from the distance specified in the distanceWithin search, add the location field to the orderBy clause, e.g.

JavaScript
const query = new Query(
  Op.distanceWithin("location", 52.377, -2.749, "10mi"))
);
const OrderBy = Zengenti.Contensis.OrderBy;
query.orderBy = OrderBy.asc('location');

Complete example

JavaScript
const { Query, Op, OrderBy } = require("contensis-delivery-api");

const query = new Query(
    Op.contains('title', 'Batman'),
    Op.or(
        Op.greaterThan('releaseDate', 1960),
        Op.contains('tagline', 'gotham')
    )
);
query.orderBy = OrderBy.asc('title').desc('releaseDate');
query.pageSize = 50;
query.pageIndex = 1;
query.fields = ['entryTitle', 'tagline', 'releaseDate'];

ContensisClient.entries.search(query).then(function(films) {
    // films are available
    // films.pageIndex
    // films.pageSize
    // films.totalCount
    // films.items

}, function(error) {
    console.error(error);
});

Still need help?

If you still need help after reading this article, don't hesitate to reach out to the Contensis community on Slack or raise a support ticket to get help from our team.
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