Simple Query String Queryedit

A query that uses the SimpleQueryParser to parse its context. Unlike the regular query_string query, the simple_query_string query will never throw an exception, and discards invalid parts of the query. Here is an example:

GET /_search
{
  "query": {
    "simple_query_string" : {
        "query": "\"fried eggs\" +(eggplant | potato) -frittata",
        "analyzer": "snowball",
        "fields": ["body^5","_all"],
        "default_operator": "and"
    }
  }
}

The simple_query_string top level parameters include:

Parameter Description

query

The actual query to be parsed. See below for syntax.

fields

The fields to perform the parsed query against. Defaults to the index.query.default_field index settings, which in turn defaults to _all.

default_operator

The default operator used if no explicit operator is specified. For example, with a default operator of OR, the query capital of Hungary is translated to capital OR of OR Hungary, and with default operator of AND, the same query is translated to capital AND of AND Hungary. The default value is OR.

analyzer

The analyzer used to analyze each term of the query when creating composite queries.

flags

Flags specifying which features of the simple_query_string to enable. Defaults to ALL.

analyze_wildcard

Whether terms of prefix queries should be automatically analyzed or not. If true a best effort will be made to analyze the prefix. However, some analyzers will be not able to provide a meaningful results based just on the prefix of a term. Defaults to false.

lenient

If set to true will cause format based failures (like providing text to a numeric field) to be ignored.

minimum_should_match

The minimum number of clauses that must match for a document to be returned. See the minimum_should_match documentation for the full list of options.

quote_field_suffix

A suffix to append to fields for quoted parts of the query string. This allows to use a field that has a different analysis chain for exact matching. Look here for a comprehensive example.

auto_generate_synonyms_phrase_query

Whether phrase queries should be automatically generated for multi terms synonyms. Defaults to true.

all_fields

Perform the query on all fields detected in the mapping that can be queried. Will be used by default when the _all field is disabled and no default_field is specified index settings, and no fields are specified.

Simple Query String Syntaxedit

The simple_query_string supports the following special characters:

  • + signifies AND operation
  • | signifies OR operation
  • - negates a single token
  • " wraps a number of tokens to signify a phrase for searching
  • * at the end of a term signifies a prefix query
  • ( and ) signify precedence
  • ~N after a word signifies edit distance (fuzziness)
  • ~N after a phrase signifies slop amount

In order to search for any of these special characters, they will need to be escaped with \.

Be aware that this syntax may have a different behavior depending on the default_operator value. For example, consider the following query:

GET /_search
{
    "query": {
        "simple_query_string" : {
            "fields" : ["content"],
            "query" : "foo bar -baz"
        }
    }
}

You may expect that documents containing only "foo" or "bar" will be returned, as long as they do not contain "baz", however, due to the default_operator being OR, this really means "match documents that contain "foo" or documents that contain "bar", or documents that don’t contain "baz". If this is unintended then the query can be switched to "foo bar +-baz" which will not return documents that contain "baz".

Default Fieldedit

When not explicitly specifying the field to search on in the query string syntax, the index.query.default_field will be used to derive which field to search on. It defaults to _all field.

If the _all field is disabled and no fields are specified in the request`, the simple_query_string query will automatically attempt to determine the existing fields in the index’s mapping that are queryable, and perform the search on those fields.

Multi Fieldedit

The fields parameter can also include pattern based field names, allowing to automatically expand to the relevant fields (dynamically introduced fields included). For example:

GET /_search
{
    "query": {
        "simple_query_string" : {
            "fields" : ["content", "name.*^5"],
            "query" : "foo bar baz"
        }
    }
}

Flagsedit

simple_query_string support multiple flags to specify which parsing features should be enabled. It is specified as a |-delimited string with the flags parameter:

GET /_search
{
    "query": {
        "simple_query_string" : {
            "query" : "foo | bar + baz*",
            "flags" : "OR|AND|PREFIX"
        }
    }
}

The available flags are: ALL, NONE, AND, OR, NOT, PREFIX, PHRASE, PRECEDENCE, ESCAPE, WHITESPACE, FUZZY, NEAR, and SLOP.

Synonymsedit

The simple_query_string query supports multi-terms synonym expansion with the synonym_graph token filter. When this filter is used, the parser creates a phrase query for each multi-terms synonyms. For example, the following synonym: "ny, new york" would produce:

(ny OR ("new york"))

It is also possible to match multi terms synonyms with conjunctions instead:

GET /_search
{
   "query": {
       "simple_query_string" : {
           "query" : "ny city",
           "auto_generate_synonyms_phrase_query" : false
       }
   }
}

The example above creates a boolean query:

(ny OR (new AND york)) city)

that matches documents with the term ny or the conjunction new AND york. By default the parameter auto_generate_synonyms_phrase_query is set to true.