elasticsearch get mapping

word "2014-09-15" . _allThe field is a full-text segment, so the analysis process converts the date to three words: "2014" , "09" and "15" . When we _all query in 2014 a field, it's a match to 12 tweets, because these tweets all contain words 2014 :GET /_search?q=2014 # 12 resultsWhen we query in a _all field 2014-09-15 , we first parse the query string, produce a query that matches either Word, 2014 or, 09 15 it still matches 1

":" String "}," raw ": {" type ":" string "," index ":" Not_analyzed "}}}}The above file says that we define its mapping for Index_type, the index type. The point is to map the name field to two, one to name the index analysis, and the other to not analyze raw, which will not split the phrase New York. So when we do the search, we can do the term aggregation for the Name.raw field and get the number of occ

ElasticSearch NEST Client Operation indexvar indexname= "Twitter";var deleteindexresponse = client. Deleteindex (IndexName);var createindexresponse = client. CreateIndex (IndexName);var getindexresponse = client. GetIndex (IndexName);var indexexistsresponse = client. Indexexists (IndexName);var openindexresponse=client. Openindex (IndexName);var closeindexresponse=client. Closeindex (IndexName);1. CREATE indexPUT twitter{}2. Delete IndexDelete/twitter

ElasticSearch Index API Mapping, elasticsearchapiElasticSearch NEST Client operation Index Var indexName = "twitter "; Var deleteIndexResponse = client. DeleteIndex (indexName );Var createIndexResponse = client. CreateIndex (indexName );Var getIndexResponse = client. GetIndex (indexName );Var indexExistsResponse = client. IndexExists (indexName );Var openIndexResponse = client. OpenIndex (indexName );Var c

This article mainly explains some of mapping's related configuration and need to pay attention to the place, said mapping everyone may feel somewhat puzzled, in fact, I can generally understand elasticsearch as an RDBMS (relational database, such as MySQL), then index The equivalent of a database instance, type can be understood as a table, so that mapping can be

" } } }}‘Return Error:{ "error ": {" root_cause ": [{"type": " Illegal_argument_exception "," reason ": "Mapper [OnSale] of different type, Current_type [Boolean], Merged_type [string]"}], "type ": " Illegal_argument_exception "," Reason ": " mapper [OnSale] of different type, Current_type [Boolean ], Merged_type [string] "}," status ": Why can't I modify the type of a field? The reason is that after the type of a field has been modified, all data for that field needs to be

toDynamicMappingNewField names would be added automatically, just by indexing a document. New fields can is added both to the top-level mapping type, and to innerObjectand nested fields. theDynamicMapping rules can configured to customise the mapping that isUsed for NewFields . Explicit mappingsedityou know more on your data than Elasticsearch can guess, so whil

the contents of the API.With the above configuration file, you can configure the output plug-in in Logstash:Output {elasticsearch {host="localhost"#ES的服务器地址 Protocol="http"#使用的协议, node may be used by default, depending on the environment of the machine index="logstash-%{+yyyy. MM.DD}"#匹配的索引模式 Document_type="Test"#索引的类型, the old configuration uses Index_type, but this field has been deprecated in the new version, and Document_type is recommended Manag

Elasticsearch Reference [6.2]? MappingRefer to the official English document Https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping.htmlMapping is the process of defining how a document and the fields it contains are stored and indexed, each with a mapping type that determines how the document will be indexed.Meta-fieldsInclude _index,_type,_id a

("Store", "yes"). Field ("Analyzer", "Ik_smart"). Field ("Search_analyzer", "Ik_ Smart). EndObject (). StartObject ("Updatedate"). Field ("Type", "Date"). Field ("Store", "Yes"). EndObject (). EndObject (). EndObject (). EndObject (); } Catch(IOException e) {logger.error ("Build company mapping Failed", E); } putmappingrequest Mapping=requests.putmappingrequest (IndexName). Type (typeName). Source (Mapping

Recently in taking over the work of Elasticsearch, which added new fields to the existing mapping, the first to find information on the Internet, found that the information on the Internet is about updating the existing field types in mapping, so write an article about the existing mapping to add new The field of the a

After good elk, sometimes found Kibana statistics, the data type is wrong, this time and elasticsearch mapping, although we can use Logstash to modify the data type in ES, such as float or int or string. But there are no double types, and even if you convert, you will find that the data written to ES is defined by the ES mapping table. Next we will learn to modif

For the first contact with elasticsearch children's shoes, in order to facilitate the understanding of the Elasticsearch and MySQL in contrast to explain:The index in ES is the equivalent of MySQL db, a MySQL can have multiple db, similar, an ES cluster can have multiple index.The type in ES is the equivalent of a table in MySQL, where a db in MySQL can have multiple tables that store one of our data in a t