Elasticsearch 7.x client for JS with faceted search, custom features and simple interface
- faceted search
- full text
- pagination
- sorting
npm install elasticitems
const elasticitems = require('elasticitems')(es_config, search_config);
elasticitems.search()
.then(result => {
console.log(result);
})
The first es_config
is elasticsearch configuration object and contains values like host
, index
or type
.
Responsible for defining global configuration.
-
aggregations
filters configuration i.e. fortags
,actors
,colors
, etc. Responsible for generating facets. -
sortings
you can configure different sortings liketags_asc
,tags_desc
with options and later use it with one key.
-
per_page
amount of items per page. -
page
page number - used for pagination. -
query
used for full text search. -
operator
search operatorand
andor
(default). It works withquery
parameter -
sort
used for sorting. one ofsortings
key -
filters
filtering items based on specific aggregations i.e. {tags: ['drama' , 'historical']} -
query_string
i.e. "brand:Audi OR brand:Mercedes" -
facets_names
make faceted search only for specific fields i.e. ['tags', 'genres'] -
fields
search only in specifc fields i.e. ['name', 'description']. Missing parameter means search in all fields -
ids
search by ids i.e. ['1', '2', '3'] -
exclude_ids
exclude ids from search i.e. ['1', '2', '3']
Show similar items based on collaborative filtering
fields
i.e ['tags'].
It returns full list of filters for specific aggregation
-
name
aggregation name -
per_page
filters per page -
size
how much load into memory (for pagination) -
page
page number -
sort
responsible for sorting mechanism. It can be_count
or_term
-
order
responsible for an order. It can beasc
ordesc
-
filters
filter this aggregation through another aggregations (facets) -
aggregation_query
used for quering filters. It's not full text search -
query
search through items -
query_string
search through items by query string i.e. (category:Garden and color:red)
Returns found record otherwise throw an error
Returns record based on key and value
Add a new object into index. Provide your own id
if you don't want it auto-generated
Updates object in index
Delete object from index
- Full text search does not work on
keyword
type because this type is not tokenized.keyword
type is great for faceted fields
npm test