如何让 Lucene 中的 QueryParser 处理数字范围? [英] How do I make the QueryParser in Lucene handle numeric ranges?

问题描述

new QueryParser(.... ).parse (somequery);

它仅适用于字符串索引字段.假设我有一个名为 count 的字段，其中 count 是一个整数字段(在索引我认为数据类型的字段时)

it works only for string indexed fields. Say i have a field called count where count is a integer field (while indexing the field I considered the data type)

new QueryParser(....).parse("count:[1 TO 10]");

上面的一个是行不通的.相反，如果我使用 "NumericRangeQuery.newIntRange" 这是有效的.但是，我只需要上面那个...

The above one is not works. Instead If i used "NumericRangeQuery.newIntRange" which is working. But, i need the above one only...

推荐答案

遇到同样的问题并解决了，在这里分享一下我的解决方案:

Had the same issue and solved it, so here I share my solution:

要创建一个自定义查询解析器，该解析器将解析以下查询INTFIELD_NAME:1203"或INTFIELD_NAME:[1 TO 10]"并将字段 INFIELD_NAME 作为 Intfield 处理，我用以下内容覆盖了 newTermQuery:

To create a custom query parser that will parse the following query "INTFIELD_NAME:1203" or "INTFIELD_NAME:[1 TO 10]" and handle the field INTFIELD_NAME as an Intfield, I overrided newTermQuery with the following:

public class CustomQueryParser extends QueryParser {

public CustomQueryParser(String f, Analyzer a) {
    super(f, a);
}

protected Query newRangeQuery(String field, String part1, String part2, boolean startInclusive,
    boolean endInclusive) {

    if (INTFIELD_NAME.equals(field)) {
    return NumericRangeQuery.newIntRange(field, Integer.parseInt(part1), Integer.parseInt(part2),
        startInclusive, endInclusive);
    }
    return (TermRangeQuery) super.newRangeQuery(field, part1, part2, startInclusive, endInclusive);
}


protected Query newTermQuery(Term term) {
    if (INTFIELD_NAME.equals(term.field())) {

    BytesRefBuilder byteRefBuilder = new BytesRefBuilder();
    NumericUtils.intToPrefixCoded(Integer.parseInt(term.text()), 0, byteRefBuilder);
    TermQuery tq = new TermQuery(new Term(term.field(), byteRefBuilder.get()));

    return tq;
    } 
    return super.newTermQuery(term);

}
}

我从 http://www.mail-archive.com/search?l=[e-mail]&q=subject:%22Re%3A+How+do+you+properly+use+NumericField%22&o=newest&f=1 并做了3处修改:

I took the code quoted in that thread from http://www.mail-archive.com/search?l=[e-mail]&q=subject:%22Re%3A+How+do+you+properly+use+NumericField%22&o=newest&f=1 and made 3 modifications :

• 把 newRangeQuery 改写得更好一点

• rewrote newRangeQuery a little more nicely

替换为 newTermQuery 方法NumericUtils.intToPrefixCoded(Integer.parseInt(term.text()),NumericUtils.PRECISION_STEP_DEFAULT)));

replaced in newTermQuery method NumericUtils.intToPrefixCoded(Integer.parseInt(term.text()),NumericUtils.PRECISION_STEP_DEFAULT)));

by NumericUtils.intToPrefixCoded(Integer.parseInt(term.text()), 0, byteRefBuilder);

当我第一次在同一数值字段的过滤器中使用此方法时，我将 0 作为我发现它作为 lucene 类中的默认值并且它正常工作.

when I used this method for the first time in a filter on the same numeric field, I put 0 as I found it as a default value in a lucene class and it just worked.

• 替换为 newTermQuery

• replaced on newTermQuery

TermQuery tq = new TermQuery(new Term(field,

by TermQuery tq = new TermQuery(new Term(term.field(),

使用字段"是错误的，因为如果您的查询有多个子句(FIELD:text OR INFIELD:100)，它会占用第一个或前一个子句字段.

using "field" is wrong, because if your query has several clauses (FIELD:text OR INTFIELD:100), it is taking the first or previous clause field.

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