Use of the basic query API for ES

This article mainly records the use of the basic query API for ESBasic query Type term query

{"     query": {"term        ": {            "title": "Crime"}}    }

• Assigning weights

{"Query": {"term": {"            title": {                "value": "Crime",                "Boost": 10.0             }    }}

• Multi-term query query tags contain novel or book

{"     query": {"        terms": {"            tags": ["Novel", "book"]    }}

Common Word Query

Simple understanding is to remove the high privilege of the stop word, divided into two groups to query, such as stop word is high frequency, Cutoff_frequency said that the word below this probability will appear in the low-frequency group.

{"Query": {"common": {"title": {"                 Query": "Crime and Punishment",                 "cutoff_frequency": 0.001             }        }    }}

Match query (Lucene query syntax not supported) query title contains crime or and or punishment documents

{"     query": {"        match": {            "title": "Crime and Punishment"}}    }

operator operator

Word breaker that requires and or or matches text

{"Query": {"match": {"title": {"                 Query": "Crime and Punishment", "                 Operator": "and"            }        }    }}

Phrase Query

{"Query": {"match_phrase": {"title": {"                 Query": "Crime  punishment",                 "slop": 1            }        }    }}

Prefix query

Prefix the last entry of the query keyword

{"Query": {"Match_phrase_prefix": {"title": {"                 Query": "Crime  Punish",                 "slop": 1,                 "max_expansions": +}}}    

Multi_match (query for multiple fields)

{"     query": {"        Multi_match": {"             query": "Crime  Heller",             "Fields": ["title", "author"]        }    }}

Query_string query (supports Lucene query syntax)

The title field contains crime and has a weight of 10, including punishment, but Otitle does not contain a cat, and the colleague author field contains Fyodor and Dostoevsky.

{"     query": {"        query_string": {             "query": "Title:crime^10 +title:punishment-otitle:cat +author: (+fyodor + Dostoevsky) ",             " Default_field ":" title "}}    

Querying for multiple fields

Use_dis_max using the maximum score, max means that for a given keyword, only the highest score is included in the score of the final document, not all of the field scores that contain the entry.

{"     query": {"        query_string": {"             query": "Crime Heller",             "Fields": ["title", "Author"],              "Use_dis _max ": True        }}    }

simple_query_string Query

Parse error without throwing exception, discard query invalid part

{"     query": {"        simple_query_string": {             "query": "Title:crime^10 +title:punishment-otitle:cat +author :(+fyodor +dostoevsky) ",             " Default_operator ":" or "        }    }

Identifier Query

Find using a unique representation of the UID

{"     query": {"        IDs": {"             type": "Book",             "values": ["1", "2", "3"]    }}}

Prefix query

Prefix matches a given keyword

{"     query": {"        prefix": {             "title": "Cri"        }}    }

• Assigning weights

{"     query": {"prefix": {"             title": {                 "value": "CRI",                 "Boost": 3.0             }    }}

Fuzzy query

Fuzzy queries using editing distances are computationally significant, but are useful for user-misspelled scenarios

{"     query": {"        fuzzy": {             "title": "Crme"}}    }

• Specify minimum similarity deviation

{"Query": {"fuzzy": {"title": {"                 value": "Crme",                 "min_similarity": 1    }}}

Wildcard Query

Support for * and? et wildcard characters

{"     query": {"        wildcard": {             "title": "Cr?me"}}    }

Scope Query

Can be for a single field only, numeric, or string-based.

{"Query": {"range": {"Year": {                  "GTE": 1890,                  "LTE": 1900              }    }}

Regular expression Query

Query performance depends on regular expression

{"     query": {"regexp": {"             title": {                  "value": "Cr.m[ae]",                  "Boost": 10.0              }    }}

Boolean query (combined query)

{"Query": {"bool": {"must": {"term                ": {                    "title": "Crime"                }            },             "should": {                ' Range ': {                    ' year ': {' from ': 1900, ' to ': ' + '}}            ,             ' Must_not '                : {' term ': {                    "Otitle": "Nothing"                }            }        }    }

Use of the basic query API for ES