I'm trying to order elements by field descending in Elasticquent, but don't know how. This is my code:
$laws_y = Law::searchByQuery([
],
[
"group_by_law_year" => ["terms" => ['field' => "law_year", "size" => 100]]
]);
Can anyone help?
You can do it using the order setting and order by _term: desc:
$laws_y = Law::searchByQuery([
],
[
"group_by_law_year" => [
"terms" => [
'field' => "law_year",
"order" => ["_term" => "desc" ], <--- add this line
"size" => 100
]
]
]);
Related
I use rest api to create a simple product on my magento. All works correctly except quantity column that is correctly update on "Quantity" column but not on the salable quantity.
Rest call: "www.mysite.com/V1/products"
Array data
$data = [
"product" => [
"sku" => $sku,
"name" => $product_title,
"attribute_set_id" => 4,
"price" => $price,
"status" => 1,
"visibility" => 4,
"type_id" => "simple",
"weight" => "1",
"extension_attributes" => [
"category_links" => [
[
"position" => 0,
"category_id" => "53"
]
],
"stock_item" => [
"qty" => $qty,
"is_in_stock" => true
]
],
"custom_attributes" => [
[
"attribute_code" => "special_price",
"value" => $salable_price
],
[
"attribute_code" => "special_from_date",
"value" => "2021-02-07 00:00:00"
],
[
"attribute_code" => "special_to_date",
"value" => "2091-02-07 00:00:00"
],
[
"attribute_code" => "cost",
"value" => $salable_price
],
[
"attribute_code" => "description",
"value" => $description
],
[
"attribute_code" => "short_description",
"value" => $short_description
]
]
]
];
As you see, qty has been correctly update on qty column but not on the salable quantity. What is my mistake?
Please try this:
"stockItem": {
"is_in_stock": 1,
"qty": 10,
"manage_stock": true,
"use_config_manage_stock": 1
}
I use ES 7 and Laravel implementation, I want to combine a range and a term match, according to documentation, I did this :
$items = $client->search([
'index' => $instance->getSearchIndex(),
'type' => $instance->getSearchType(),
'body' => [
'size' => 50,
'query' => [
'bool' => [
'must' => [
'multi_match' => [
'fields' => config('elasticsearch.fields'),
'query' => $query,
],
],
'filter' => [
'bool' => [
'must' => [
'range' => [
'note' => [
'gte' => config('elasticsearch.note_minimum')
]
],
'term' => [
'type_video_id' => 5
],
],
],
],
]
],
],
]);
And got this error :
"parsing_exception","reason":"[range] malformed query, expected
[END_OBJECT] but found [FIELD_NAME]
I only found documentation and examples for ES 2 about combining queries, did something change ?
I want my query to match the fields, and be filtered according to filter.
Here is the right way to do this:
$items = $client->search([
'index' => $instance->getSearchIndex(),
'type' => $instance->getSearchType(),
'body' => [
'size' => 50,
'query' => [
'bool' => [
'must' => [
'multi_match' => [
'fields' => config('elasticsearch.fields'),
'query' => $query,
]
],
'filter' => [
[
'range' => [
'note' => [
'gte' => config('elasticsearch.note_minimum')
]
]
],
[
'term' => [
'type_video_id' => 5
]
]
]
]
]
]
]);
I don't have a way to test this, but I'm seeing a couple brackets where you need curlies. Also, don't you need you need $ before those "config"?
{
"query" => {
"bool" => {
"must" => [
{
"multi_match" => {
"query" => $query,
"fields" => $config('elasticsearch.fields')
}
}
],
"filter" => {
{
"range" => {
"note" => {
"gte" => $config('elasticsearch.note_minimum')
}
}
},
{
"term" => {
"type_video_id" => {
"value" => "5"
}
}
}
}
}
}
}
If this doesn't work, can you paste what the string looks like after your variables get rendered?
I want to write query with following condition :
search by category (like category = 'cat1')
and with price range (and price between 100 to 500)
and sort by price (low to high)
I tried:
$params = [
'index' => 'my_index',
'type' => 'product',
'body' => [
//"from" => 0, "size" => 2,
"sort" => [
["default_product_low_price.sale_price" => ["order" => "asc"]]
],
'query'=> $query,
"aggs" => [
"default_product_low_price" => [
"nested" => [
"path" => "default_product_low_price"
],
"aggs" => [
"range" => ["default_product_low_price.sale_price" => [ "gte" => '790',
"lte" => '1000' ]],
//"max_price" => ["max" => [ "field" => "default_product_low_price.sale_price" ]]
],
]
]
]
];
But I am getting an error
Bad Request 400 Exception in GuzzleConnection.php line 277: error.
Please guide me where I am wrong? What is the right query?
I think this should be your query :
$params = [
'index' => 'my_index',
'type' => 'product',
'body' => [
"sort" =>[
["default_product_low_price.sale_price" => ["order" => "asc"]]
],
"query"=> [
"filtered"=> [
"query"=> [
"match_all"=> []
],
"query"=>[
"term"=> [
"category.name"=> "jeans"
]
],
"filter"=> [
"nested"=> [
"path"=> "default_product_low_price",
"filter"=> [
"bool"=> [
"must"=> [
[
"range"=> [
"default_product_low_price.sale_price"=> [
"gte"=> 100,
"lte"=> 200,
]
]
]
]
]
]
]
]
]
]
]
];
I have this aggregators to deduplicate documents :
$searchParams['body'] = [
'aggs' => [
'dedup' => [
'terms' => [
'field' => 'source',
'size' => 50,
'order' => [
'max_hits' => "desc"
]
],
'aggs' => [
'dedup_hits' => [
'top_hits' => [
'size' => 1
]
],
'max_hits' => [
'max' => [
"script" => "doc.score"
]
]
]
]
]
];
This query order by document score. However, i want to order by _timestamp field. It's possible ? I have test with Date Histogram aggregator. But without success.
i have the following query
$queryDefinition = [
'query' => [
'bool' => [
'must' => [
[
'query_string' => [
'default_field' => '_all',
'query' => $term
]
]
],
'must_not' => [],
'should' => []
],
],
//'filter' => [
// 'limit' => ['value' => 3],
//],
'from' => 0,
'size' => 50,
'sort' => [],
'facets' => [
'types' => [
'terms' => ['field' => '_type']
]
]
];
in the index we have 5 types, and i would like to show only 3 results from each type, for autocomplete. when i set the filter limit only the results from the first type are filtered, for other types i get all the results.
how can i do this?
thanks
{
"aggregations": {
"types": {
"terms": {
"field": "_type"
},
"hits": {
"top_hits": {
"size": 3
}
}
}
}
}
If you're using ElasticSearch 1.4.0, you can use terms aggregation on "_type" field and use top hits aggregation as sub aggregation and set its size to 3 (in your case).
Hope that helps.