solr 查询参数q与fq的区别

有一些情况是必须用fq的，比如高亮的正确显示。例如你只想关键字keyword为“我们”时候高亮显示，如果q里还有别的条件，如attr不为空，不为空我们一般这样写attr：*，这样查询结果会有很多不是我们的也会高亮，这时候就需要把attr：*的条件放在fq里。

2017-09-08 09:17:51

加分 3 减分 IS Ensure

文章:

q

Solr 中用来搜索的查询。有关该语法的完整描述，请参阅参考资料。可以通过追加一个分号和已索引且未进行断词的字段（下面会进行解释）的名称来包含排序信息。默认的排序是 score desc，指按记分降序排序。

q=myField:Java AND otherField:developerWorks; date asc

此查询搜索指定的两个字段，并根据一个日期字段对结果进行排序。

fq

提供一个可选的筛选器查询。查询结果被限制为仅搜索筛选器查询返回的结果。筛选过的查询由 Solr 进行缓存。它们对提高复杂查询的速度非常有用。

任何可以用 q 参数传递的有效查询，排序信息除外。

2017-09-08 09:18:18

加分 3 减分 IS Ensure

Reincarnation:

A FilterQuery ONLY stores document IDS. This makes it very fast to apply the filter to include/exclude documents. Good examples of this are when filtering products from search based on Country, Product Type, Availability, etc.

A normal query can perform the exact same function, but it has a very complex scoring system to determine "relevance". I believe the documentation is indicating that scoring is only done on the Main Query, not on the Filter Query. This should also increase query speed.

So, I can query for:

description:Kohler AND productType:Toilet

Or I can query for:

description:Kohler
with a FQ of productType:Toilet

The results would be the same, but the scores would be different. Also, if you get many different queries throughout the day that are forproductType:Toilet, the FilterQuery would be cached making the overall query time faster.

2017-09-08 09:20:13

加分 4 减分 IS Ensure

Reincarnation:

The q parameter takes your query and execute against the index. Then you can use filter queries (can use multiple filter queries) to filter the results.

For example your query can look like this.

q=author:shakespeare

this will match the documents which has 'shakespeare' in the 'author' field. Then you can use filter queries like this.

fq=title:hamlet
fq=type:play

Those will filter the results based on the other fields. You can even filter on the same field.

The query syntax is similar for both q and fq parameters

having q=*:* will give you all the documents and it won't calculate the relevance score as all documents qualifies, then doing fq=author:shakespeare will run the filter operation which is fast, and in case of q=author:shakespeare it need to calculate score of selected documents also which will be not be that fast.

2017-09-08 09:19:10

4 Answers

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