I have the code which is working perfectly fine.
$amenityCategoryMapping1 = AmenityCategoryMapping::where('property_id', $property->id)
->orderBy('amenity_name','asc')
->orderBy('updated_at','desc')
->pluck('category_id', 'amenity_name')->toArray();
$amenityCategoryMapping2 = AmenityCategoryMapping::where('company_id', $property->company_id)
->orderBy('amenity_name','asc')
->orderBy('updated_at','desc')
->pluck('category_id', 'amenity_name')->toArray();
$amenityCategoryMapping3 = AmenityCategoryMapping::whereNull('property_id')
->orderBy('amenity_name','asc')
->orderBy('updated_at','desc')
->pluck('category_id', 'amenity_name')->toArray();
$amenityCategoryMapping = array_merge($amenityCategoryMapping3, $amenityCategoryMapping2, $amenityCategoryMapping1 );
However, currently I am executing 3 different query to extract data from the same table just using different parameters. Is there any way to minimize this query requests and still receiving the same results?
Currently, while plucking if two array has the same key then I am replacing amenityCategoryMapping3 by amenityCategoryMapping2 and that by amenityCategoryMapping1. That is more priority should be given to amenityCategoryMapping1
union, removepluckandtoArraymethods from 1 and 2, then useunionon 2 to merge 1, then on 3 to merge 2. Use pluck on the final one. That should take care of the duplicates. But, do analyse performance before discarding your current approach. Union could be faster or slower depending on your dataset and your memory limitations.