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3.) create your Elastic index using model with full path: ## Indexing 4.) add data to your index ### Migrating to new Index This process creates a new index, imports all data from previous to this index, and then links the old index to this new one via an alias ### Update a mapping: ### Update index: ### Drop index: ### Additional Configuration Options: In your designated model, you may want to make use of the method: This will enable you to fine tune the actual query that is sent to elastic if you need to eager load or specify relationships. ## Usage and Examples Where/OrWhere queries make use of the [bool](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html) methods (`must`, `must_not`, and `should`). Syntax is meant to be eloquent-like, but must use the `search` trait to differentiate it from actual Eloquent. ### Valid Operators Operator | Function | Usage ---------| ---------|-------- = | equals | ->where('col', '=', 'value')
->where('col', 'value') <> | not equals | ->where('col', '<>', 'value') in | in field array | ->where('col', 'in', ['value']) begins_with| search phrase beginning matched to search | ->where('col', 'begins_with', 'value') ends_with | search phrase ending matched to search | ->where('col', 'ends_with', 'value') contains | search phrase found in field | ->where('col', 'contains', 'value') gte | >= | ->where('col', 'gte', 'value') lte | <= | ->where('col', 'lte', 'value') gt | > | ->where('col', 'gt', 'value') lt | < | ->where('col', 'lt', 'value') between | date found between two dates | ->where('col', 'between', ['value1', 'value2']) exists | the value is not null and is found in index | ->where('col', 'exists') #### Sample `Where` query Both of the above queries are valid. Default operator is '=' unless provided. #### Sample `Or Where` query takes two arrays, makes use of the `should` bool operator from Elastic. Evaluates to "find this OR that". Closure, makes use of multiple groupings under `should` bool operator from Elastic. Evaluates to "find (this AND that) OR (this and that)". #### Sample `Multimatch` query This makes use of the [multimatch](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html) elastic function, takes an array of fields. Default search type is [phrase prefix](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-phrase), but accepts an argument to override, such as [best_fields](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-multi-match-query.html#type-best-fields): #### Pagination Pagination functions much the same as in eloquent. It will wrap your response in the Paginator Length Aware metadata fields: #### Sorting Simple Sorting: Sorting defaults to asc and can be stacked for multiple sorts. If you need to specify a field_type for the sort field (i.e. 'keyword' or 'raw') you can include it as a param: The above may be necessary in the event you are already querying a nested object and want to ensure the datatype is listed separately. #### Geosorting Sorting by distance based on latitude and longitude. Sample query in Elastic: In order to use this in the package, you can use the following syntax: There is also support to return the distance query as raw syntax, which can be used in the Top Level OR statement. An example: Valid fields to pass in the data array are above in the elastic query. Valid arguments for unit include: mi (miles), in (inches), yd (yards), km (kilometers), cm (centimeters), mm (millimeters). There are two distance calculation modes: arc (the default), and plane. The arc calculation is the most accurate. initial support for aggs takes a column name and creates buckets to count all matches. result set will be under an "aggs" object, like so: