好几天以来，我一直在尝试在ES中对产品进行索引，除了名称，sku，id，价格，attribue_set_name外，还有一些属性子集，这些属性主要定义了可用的颜色选项或可用的产品尺寸。产品结构大致如下所示：
Array
(
[id] => 52
[sku] => CHAI_0018
[name] => Chair
[name_lc] => chair
[attr_set_name] => Chairs
[price] => 34.00
[attributes] => Array
(
[0] => 470
[1] => 815
[2] => 560
)
[super_attr] => Array
(
[0] => Olive
[1] => Black
[2] => Blue
[3] => Clear
[4] => Dark Grey
[5] => Green
[6] => Grey
[7] => Light Blue
[8] => Orange
[9] => Purple
[10] => Red
[11] => White
[12] => Yellow
)
)
考虑到我没有很多要编制索引的产品，而是可以配置产品，而我只是编制父产品的索引，因此我需要提供通过以下字段之一进行搜索的功能：
或“橄榄椅子”，“橄榄椅子”或“椅子470”之类的组合。
我使用以下映射创建索引：
$params = [
'index' => $index,
'body' => [
'settings' => [
'analysis' => [
'analyzer' => [
'autocomplete' => [
'tokenizer' => 'autocomplete',
'filter' => [
'lowercase'
]
],
'autocomplete_search' => [
'tokenizer' => 'lowercase'
]
],
'tokenizer' => [
'autocomplete' => [
'type' => 'edge_ngram',
'min_gram' => 1,
'max_gram' => 50,
'token_chars' => [
'letter',
]
]
]
]
],
'mappings' => [
'_doc' => [
'properties' => [
'name_lc' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'sku' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'attr_set_name' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'attributes' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'super_attr' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'id' => [
'type' => 'integer'
],
'price' => [
'type' => 'float'
]
]
]
]
]
];
研究完ES文档并浏览了Google上的数十篇文章之后，我的最接近和最成功的结果是通过以下查询生成的：
$params = [
'index' => $index,
'size' => $hits,
'type' => '_doc',
'body' => [
"query" => [
"bool" => [
"must" => [
["match" => [
"name_lc" => [
"query" => $phrase,
'operator' => 'or',
]]],
],
"should" => [
["match" => [
"name_lc" => [
"query" => $phrase,
'fuzziness' => '1',
'operator' => 'and',
// "boost" => 15
]]],
["bool" => [
"should" => [
["match" => [
"sku" => [
"query" => $phrase,
'operator' => 'or',
"boost" => 5
]]
],
["match" => [
"attr_set_name" => [
"query" => $phrase,
'fuzziness' => '1',
'operator' => 'or',
"boost" => 5
]]
],
["match" => [
"super_attr" => [
'query' => $phrase,
'fuzziness' => '1',
'operator' => 'or',
"boost" => 5
]]
],
["match" => [
"attributes" => [
'query' => $phrase,
'fuzziness' => '1',
'operator' => 'or',
"boost" => 5
]]
],
]
]]
],
"filter" => [
"range" => [
"price" => [
"gte" => 0,
"lte" => 1000,
"boost" => 2.0
]
]
]
]
]
]
];
但是，如果我搜索单词，此查询不会返回任何结果：
此行为使我认为嵌套的布尔查询无法正常工作。我尝试使用数字或映射进行组合，在可搜索字段以及输入文本中减小大小写，但是我什么也没找到。不知道问题出在错误的映射还是查询本身。我正在使用ES 6.5，但由于缺少结果，没有出现任何语法错误。我知道跨这么多个领域的搜索可能不是最快的，但是索引中包含不到500种产品，我认为这不会带来产品性能问题。
哦，关于价格范围过滤器，它正在正确过滤。
任何帮助将不胜感激。 谢谢。
答案 0 :(得分：0)
好的，我离我想要达到的目标并不遥远。 对于将要来到这里的任何人，我都会发布我的解决方案。 简而言之，我的映射不正确，因为我将字段文本用于：
在更新我的映射并将字段类型设置为“关键字”之后，事情变得更加美好。我决定重做我的查询，并使用“ term”在这些字段中搜索完全匹配。然后事实证明，必须稍微提高精确的匹配度。进行了更多外观更改后，最终映射如下所示：
$params = [
'index' => $index,
'body' => [
'settings' => [
'analysis' => [
'analyzer' => [
'autocomplete' => [
'tokenizer' => 'autocomplete',
'filter' => [
'lowercase'
]
],
'autocomplete_search' => [
'tokenizer' => 'lowercase'
]
],
'tokenizer' => [
'autocomplete' => [
'type' => 'edge_ngram',
'min_gram' => 1,
'max_gram' => 50,
'token_chars' => [
'letter',
]
]
]
]
],
'mappings' => [
'_doc' => [
'properties' => [
'id' => [
'type' => 'keyword'
],
'sku' => [
'type' => 'keyword',
],
'attr_set_name' => [
'type' => 'keyword',
],
'name_search' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'attributes' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'super_attr' => [
'type' => 'text',
'analyzer' => 'autocomplete',
'search_analyzer' => 'autocomplete_search'
],
'price' => [
'type' => 'float'
]
]
]
]
]
];
并查询与之配合使用的
$params = [
'index' => $index,
'size' => $hits,
'type' => '_doc',
'body' => [
"query" => [
"bool" => [
'should' => [
['match' => [
'name_search' => [
'query' => $phrase,
'operator' => 'and',
'boost' => 4,
]
]],
['match' => [
'name_search' => [
'query' => $phrase,
'operator' => 'or',
'fuzziness' => '1',
'boost' => 2,
]
]],
['match' => ['attr_set_name' => $phrase]],
['match' => [
'super_attr' => [
'query' => $phrase,
'boost' => 7,
]
]],
['match' => ['attributes' => $phrase]],
['term' => [
'sku' => [
'value' => $phrase,
"boost" => 5.0
]
]],
['term' => [
'id' => [
'value' => $phrase,
"boost" => 5.0
]
]],
],
"filter" => [
"range" => [
"price" => [
"gte" => $min,
"lte" => $max,
"boost" => 2.0
]
]
],
"minimum_should_match" => 2,
],
]
]
];
我希望有一天能对某人有所帮助：D