我最近添加了elasticsearch作为项目的搜索引擎，这是一个电子商务结构模型，我用它来加载类别，制造商等。
查询通常运行非常快，大约200毫秒，考虑到我拥有的产品数量，在某些项目中我拥有超过100万个产品，这是相当不错的。
但是在某些情况下，例如在一个简单的类别页面上，该类别页面中有大约550k产品，查询大约需要500毫秒，我想知道是否可以对其进行优化以使其更快。
请不要根据客户选择的选项在查询中添加聚合和更多过滤器，但是出于优化目的，我删除了它们，因为无论有没有加载，我都具有相同的加载速度。
这是在特定情况下大约需要500-600毫秒的查询
Array
(
[size] => 48
[from] => 0
[sort] => Array
(
[date_upd] => Array
(
[order] => desc
)
)
[query] => Array
(
[bool] => Array
(
[filter] => Array
(
[0] => Array
(
[term] => Array
(
[id_product_categories] => 38231
)
)
)
)
)
)
elasticsearch索引结构如下： $ data = array（
'settings' =>
array(
'number_of_shards' => 1,
'number_of_replicas' => 0,
'analysis' => $analysis,
'index' => array(
'sort.field' => array('date_add','date_upd', 'reduction_percent','price'),
'sort.order' => array('desc','desc','desc','desc')
)
),
'mappings' => array(
'product' => array(
//'type' => 'product',
'_all' => array( 'enabled' => false),
'properties' => array
(
'id_product' => array(
'type' => 'integer'),
'id_image' =>array(
'type' => 'integer',
'null_value' => 0
),
'id_supplier' => array(
'type' => 'keyword',
'null_value' => 0,
'index' => true,
'eager_global_ordinals' => true
),
'id_manufacturer' => array(
'type' => 'keyword',
'null_value' => 0,
'index' => true,
'eager_global_ordinals' => true
),
'id_color' => array(
'type' => 'keyword',
'null_value' => 0,
'index' => true,
'eager_global_ordinals' => true
),
'rating' => array(
'type' => 'keyword',
'null_value' => 0,
'index' => true,
),
'id_default_category' => array(
'type' => 'integer',
'null_value' => 0
),
'popularity' => array(
'type' => 'integer',
'null_value' => 0
),
'reduction_percent' => array(
'type' => 'integer',
'null_value' => 0,
'index' => true
),
'is_reduced' => array(
'type' => 'boolean'
),
'reference' => array(
'type' => 'keyword',
'null_value' => 0,
'index' => true,
),
'image_cover' => array(
'type' => 'keyword',
'index' => false,
),
'image_title' => array(
'type' => 'keyword',
'index' => false,
),
'product_link_title' => array(
'type' => 'keyword',
'index' => false,
),
'price' => array(
'type' => 'integer',
'null_value' => 0,
'index' => true
),
'old_price' => array(
'type' => 'float',
'null_value' => 0
),
'id_product_categories' => array(
'type' => 'keyword',
'null_value' => 0,
'index' => true,
'eager_global_ordinals' => true
),
'date_add' => array(
'type' => 'date',
'format' => 'yyyy-MM-dd HH:mm:ss',
'index' => true
),
'date_upd' => array(
'type' => 'date',
'format' => 'yyyy-MM-dd HH:mm:ss'
),
'product_name' => array(
'type' => 'text',
"analyzer" => $lang_iso_code .'_analyzer'
),
'product_heading' => array(
'type' => 'keyword',
"index" => false
),
/*
'product_description' => array(
'type' => 'text',
"analyzer" => $lang_iso_code .'_analyzer'
),
*/
'product_color' => array(
'type' => 'text',
"analyzer" => $lang_iso_code .'_analyzer'
),
'product_categories' => array(
'type' => 'text',
"analyzer" => $lang_iso_code .'_analyzer'
),
'product_manufacturer' => array(
'type' => 'text',
),
'product_supplier' => array(
'type' => 'text'
),
'product_link' => array(
'type' => 'keyword',
'index' => false
)
)
)
)
);