[[slop]]
=== Mixing It Up
Requiring exact-phrase matches ((("proximity matching", "slop parameter")))may be too strict a constraint. Perhaps we _do_
want documents that contain ``quick brown fox'' to be considered a match for
the query ``quick fox,'' even though the positions aren't exactly equivalent.
We can introduce a degree ((("slop parameter")))of flexibility into phrase matching by using the
`slop` parameter:
[source,js]
--------------------------------------------------
GET /my_index/my_type/_search
{
"query": {
"match_phrase": {
"title": {
"query": "quick fox",
"slop": 1
}
}
}
}
--------------------------------------------------
// SENSE: 120_Proximity_Matching/10_Slop.json
The `slop` parameter tells the `match_phrase` query how((("match_phrase query", "slop parameter"))) far apart terms are
allowed to be while still considering the document a match. By _how far
apart_ we mean _how many times do you need to move a term in order to make
the query and document match_?
We'll start with a simple example. To make the query `quick fox` match
a document containing `quick brown fox` we need a `slop` of just `1`:
Pos 1 Pos 2 Pos 3
-----------------------------------------------
Doc: quick brown fox
-----------------------------------------------
Query: quick fox
Slop 1: quick ↳ fox
Although all words need to be present in phrase matching, even when using `slop`,
the words don't necessarily need to be in the same sequence in order to
match. With a high enough `slop` value, words can be arranged in any order.
To make the query `fox quick` match our document, we need a `slop` of `3`:
Pos 1 Pos 2 Pos 3
-----------------------------------------------
Doc: quick brown fox
-----------------------------------------------
Query: fox quick
Slop 1: fox|quick ↵ <1>
Slop 2: quick ↳ fox
Slop 3: quick ↳ fox
<1> Note that `fox` and `quick` occupy the same position in this step.
Switching word order from `fox quick` to `quick fox` thus requires two
steps, or a `slop` of `2`.
- Introduction
- 入门
- 是什么
- 安装
- API
- 文档
- 索引
- 搜索
- 聚合
- 小结
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- 包含,而不是相等
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- 全字段查询
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- 精确查询
- 模糊匹配
- Phrase matching
- Slop
- Multi value fields
- Scoring
- Relevance
- Performance
- Shingles
- Partial_Matching
- Postcodes
- Prefix query
- Wildcard Regexp
- Match phrase prefix
- Index time
- Ngram intro
- Search as you type
- Compound words
- Relevance
- Scoring theory
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- Query time boosting
- Query scoring
- Not quite not
- Ignoring TFIDF
- Function score query
- Popularity
- Boosting filtered subsets
- Random scoring
- Decay functions
- Pluggable similarities
- Conclusion
- Language intro
- Intro
- Using
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- One language per doc
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- Mixed language fields
- Conclusion
- Identifying words
- Intro
- Standard analyzer
- Standard tokenizer
- ICU plugin
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- Tidying text
- Token normalization
- Intro
- Lowercasing
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- Unicode world
- Case folding
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- Stemming
- Intro
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- Hunspell stemmer
- Choosing a stemmer
- Controlling stemming
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- Stopwords
- Intro
- Using stopwords
- Stopwords and performance
- Divide and conquer
- Phrase queries
- Common grams
- Relevance
- Synonyms
- Intro
- Using synonyms
- Synonym formats
- Expand contract
- Analysis chain
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- Symbol synonyms
- Fuzzy matching
- Intro
- Fuzziness
- Fuzzy query
- Fuzzy match query
- Scoring fuzziness
- Phonetic matching
- Aggregations
- overview
- circuit breaker fd settings
- filtering
- facets
- docvalues
- eager
- breadth vs depth
- Conclusion
- concepts buckets
- basic example
- add metric
- nested bucket
- extra metrics
- bucket metric list
- histogram
- date histogram
- scope
- filtering
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- approx intro
- cardinality
- percentiles
- sigterms intro
- sigterms
- fielddata
- analyzed vs not
- 地理坐标点
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- 通过地理坐标点过滤
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- Geohashe
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- Geohashe映射
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- 地理形状
- 地理形状
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- 索引地理形状
- 查询地理形状
- 在查询中使用已索引的形状
- 地理形状的过滤与缓存
- 关系
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- 嵌套
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- Parent Child
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- Indexing parent child
- Has child
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- Practical considerations
- Scaling
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- Kagillion shards
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- Multiple indices
- Index per timeframe
- Index templates
- Retiring data
- Index per user
- Shared index
- Faking it
- One big user
- Scale is not infinite
- Cluster Admin
- Marvel
- Health
- Node stats
- Other stats
- Deployment
- hardware
- other
- config
- dont touch
- heap
- file descriptors
- conclusion
- cluster settings
- Post Deployment
- dynamic settings
- logging
- indexing perf
- rolling restart
- backup
- restore
- conclusion