我正在基于Elasticsearch构建分层导航。我的产品具有“品牌”字段。例如，我有2个品牌-Tommy Jeans和Tommy Hilfiger。当我尝试使用以下查询汇总结果
$params = [
'index' => 'my_index',
'type' => 'my_type',
'body' => [
'query' => [
'term' => [
'brand' => 'tommy'
]
],
'aggs' => [
'brand' => [
'terms' => [
'field' => 'brand',
]
]
]
]
];
我希望方括号中有2个结果-Tommy Hilfiger和Tommy Jeans都有结果计数，但就我而言，是这样的
[aggregations] => Array
(
[brand] => Array
(
[doc_count_error_upper_bound] => 0
[sum_other_doc_count] => 0
[buckets] => Array
(
[0] => Array
(
[key] => tommy
[doc_count] => 6
)
[1] => Array
(
[key] => hilfiger
[doc_count] => 4
)
[2] => Array
(
[key] => jeans
[doc_count] => 2
)
)
)
)
我该如何解决？
答案 0 :(得分：1)
这可以通过使brand类型的text字段并向其添加一个子字段keyword和类型keyword来实现。然后，您需要对字段term使用brand查询来过滤结果并在字段brand.keyword上进行汇总
因此映射将为：
{
"mappings": {
"_doc": {
"properties": {
"brand": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword"
}
}
}
}
}
}
}
更新评论：映射旧版本的es（2.x）：
{
"mappings": {
"_doc": {
"properties": {
"brand": {
"type": "string",
"fields": {
"keyword": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}
}
}
以下是查询：
{
"query": {
"bool": {
"filter": [
{
"term": {
"brand": "tommy"
}
}
]
}
},
"aggs": {
"brand": {
"terms": {
"field": "brand.keyword"
}
}
}
}
答案 1 :(得分：0)
最后，我发现了我的问题。这是一个可行的示例（基于Nishant Saini的回答）
use Elasticsearch\ClientBuilder;
require 'vendor/autoload.php';
echo '<pre>';
$client = ClientBuilder::create()->build();
$params = [
'index' => 'my_index',
'body' => [
'mappings' => [
'my_type' => [
'properties' => [
'brand' => [
'type' => 'string',
'fields' => [
'keyword' => [
'type' => 'string',
'index' => 'not_analyzed'
]
]
],
'color' => [
'type' => 'string',
'fields' => [
'keyword' => [
'type' => 'string',
'index' => 'not_analyzed'
]
]
],
'category' => [
'type' => 'string',
'fields' => [
'keyword' => [
'type' => 'string',
'index' => 'not_analyzed'
]
]
],
'id' => [
'type' => 'integer',
]
]
]
]
]
];
$client->indices()->create($params);
$items = [
[
'id' => 1,
'category' => 'Jackets',
'brand' => 'Tommy Hilfiger',
'color' => 'Red'
],
[
'id' => 2,
'category' => 'Jeans',
'brand' => 'Tommy Jeans',
'color' => 'Navy'
],
[
'id' => 3,
'category' => 'Shirts',
'brand' => 'Tommy Hilfiger',
'color' => 'Maroon'
],
[
'id' => 4,
'category' => 'Trousers',
'brand' => 'Tommy Jeans',
'color' => 'Grey'
],
[
'id' => 5,
'category' => 'Shirts',
'brand' => 'Tommy Hilfiger',
'color' => 'Grey'
],
[
'id' => 6,
'category' => 'Sneakers',
'brand' => 'Tommy Jeans',
'color' => 'Grey'
],
[
'id' => 7,
'category' => 'Sneakers',
'brand' => 'Tommy Jeans',
'color' => 'Grey'
]
];
foreach ($items as $item) {
$params = [
'index' => 'my_index',
'type' => 'my_type',
'id' => $item['id'],
'body' => [
'brand' => $item['brand'],
'color' => $item['color'],
'category' => $item['category'],
]
];
$client->index($params);
}
$params = [
'index' => 'my_index',
'body' => [
'query' => [
'bool' => [
'must' => [
[ 'match' => [ 'brand' => 'tommy' ] ],
[ 'match' => [ 'color' => 'grey' ] ]
]
]
],
'aggs' => [
'brands' => [
'terms' => [
'field' => 'brand.keyword',
],
],
'colors' => [
'terms' => [
'field' => 'color.keyword',
]
],
'categories' => [
'terms' => [
'field' => 'category.keyword',
]
]
]
]
];
$response = $client->search($params);
print_r($response);
结果是
Array
(
[brands] => Array
(
[doc_count_error_upper_bound] => 0
[sum_other_doc_count] => 0
[buckets] => Array
(
[0] => Array
(
[key] => Tommy Jeans
[doc_count] => 3
)
[1] => Array
(
[key] => Tommy Hilfiger
[doc_count] => 1
)
)
)
[categories] => Array
(
[doc_count_error_upper_bound] => 0
[sum_other_doc_count] => 0
[buckets] => Array
(
[0] => Array
(
[key] => Sneakers
[doc_count] => 2
)
[1] => Array
(
[key] => Shirts
[doc_count] => 1
)
[2] => Array
(
[key] => Trousers
[doc_count] => 1
)
)
)
[colors] => Array
(
[doc_count_error_upper_bound] => 0
[sum_other_doc_count] => 0
[buckets] => Array
(
[0] => Array
(
[key] => Grey
[doc_count] => 4
)
)
)
)