I followed the documentation i.e.https://www.mageplaza.com/magento-2-module-development/magento-2-indexing.html#run-reindex-by-command to create a custom Indexer.
It is visible at the backend.
After this, I want to push this custom index using elastic search so that it can be used in the search.
Please guide me on this part.
Rashi
Related
I need to implement AWS open search in laravel 8 did any one have idea how can we get this? any reference link or tutorial ? does any one have doing same before ?
I've implemented OpenSearch with a couple of projects on Laravel 9 recently.
Here is the instruction on how to install OpenSearch:
https://opensearch.org/docs/latest/opensearch/install/index/
And this is the really simple custom Laravel Scout engine you may use:
https://github.com/romangrinev/laravel-openseach-engine
For AWS open search in Laravel 8.x you can refer my custom package based on Laravel Scout engine.
https://github.com/tris-nm/laravel-scout-opensearch-engine
It's work well for my project with Amazon OpenSearch Service version 1.2
I have a elastic instance where data format and insert by an other application.
I want search data from elastic with my laravel app without use eloquent.
what is the best way for that?
Thanks
For using a fulltext search you should use Laravel Scout. By default Laravel Scout is only shipped with one connector - Algolia. But you can write your own connector to any search engine preferred. There is a section in the Laravel Scout docs about custom search engines.
There already seems to be a working package babenkoivan/elastic-scout-driver, that connects Laravel Scout to Elastic Search.
is there a way to use the elasticsearch module that is incorporated in Wagatail admin also on the frontend? If yes, do you have any examples/ideas how would that be possible? Thanks.
If you are open to using a front-end framework like React, you can use Wagtail's backend utilities to index models/pages and query the Elasticsearch server directly with Searchkit. At my organization we firewall our Elasticsearch server and built a proxy as a simple Django view.
Otherwise, you can query ES in a view and use the standard template tags within Wagtail.
I am using the Algolia Magento extension to index products in a Magento store.
I've disabled typo tolerance for the SKU attribute in the Algolia dashboard (under Ranking). However, I don't see any way of disabling prefix matching for the SKU attribute. Is it possible to do this without modifying the underlying query (see https://www.algolia.com/doc/api-client/ruby/parameters/#disableprefixonattributes)?
As for now the disablePrefixOnAttributes setting can be set only programmatically via any Algolia API client.
Magento extension currently doesn't offer any UI option on how to set this setting. The best way how to do it is to hook your code to algolia_products_index_before_set_settings custom event and enrich the settings variable with disablePrefixOnAttributes setting.
Currently we are working on a new feature which will allow you to set this kind of extra settings directly from Algolia configuration in Magento. However we don't have any release ETA for this one for now.
I am using the .net application and using iframe to show the kibana dashboard. So just had control over URL to show the data on Kibana dashboard.
http://localhost:5601/#/dashboard/Name-Dashboard?embed=true&_g=(time:(from:now-6M,mode:quick,to:now),title:'Name%20Dashboard')
Now i want to filter the dashboard based on some application logic. So user will be shown data based on his settings. So need to add some query or filter to URL mentioned above. I checked the documentation for elastic search and there is provision for adding the query parameters from URL
http://localhost:9200/indexname/type/_search?q=field:fieldValue
But how I can add the query string in kibana so that the values will be passed to elastic search and dashboard is shown appropriately
http://localhost:5601/#/dashboard/Name-Dashboard?embed=true&_g=(time:(from:now-6M,mode:quick,to:now),title:'Name%20Dashboard')&_a=(query:(query_string:(analyze_wildcard:!t,query:'Field1:Value1)))
using _a query parameter we can add the filter