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Https://www.elastic.co/guide/en/elasticsearch/reference/1.7/indices-aliases.htmlOneThe Elasticsearch alias, which is similar to a database view.To create an alias:We create an alias My_index_alias for the index My_index, so that we operate on the My_index_alias as if it were a my_index operationPOST/_aliases{"Actions": [{"Add": {"
" } } }}‘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
not equal 10 of the data# BOOL Query # old version of filtered has been replaced by BOOL # with BOOL including must should must_not filter to complete the # format as follows: #bool: {# "filter": [], the filter of the field, Do not participate in the scoring # "must": [], if there are multiple queries, must meet "and" # " should": [], if there are multiple queries, satisfy one or more of the matching "or" # "Must_not"
Index APIOriginal: http://www.elasticsearch.org/guide/en/elasticsearch/client/java-api/current/index_.htmlThe index API allows you to convert a JSON document to a specific index, making it easy to search for operations.To generate a JSON document:There are several different ways to generate a JSON document:
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optional-the more matches, the more documents are related._allFieldReturns a "mary" simple search for all documents that contain characters:GET /_search?q=maryIn the previous example, we searched tweet or name the field contains the result of a character. However, the results returned by this statement are contained in three different fields "mary" :
The user's name is "Mary"
Six tweets from "Mary"
A tweet for "@mary"
How did Elasticse
In a generic relational database, connection operations are supported.
The cost of connecting to ES in this distributed scenario is very expensive.
However, ES also provides similar operations, support the level of arbitrary expansion, to achieve the effect of the connection.
Other content, refer to Elasticsearch official guide to Organize
Connections in ESTwo types of connections are supported in es: nested queries and Has_child, has
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 mult
Elasticsearch Snapshot Introductionsnapshots are typically built on a shared file system , In this case there is a snapshot of the node , Other nodes are also visible. , This can be deleted at the same time, (in the latest version of the creation of the warehouse if you do not use the shared file system will prompt you, the other nodes do not find the corresponding warehouse).
Registering a snapshot warehousepay attention to this " Location "Direc
No. 362, Python distributed crawler build search engine Scrapy explaining-elasticsearch (search engine) basic index and document CRUD operationsElasticsearch (search engine) basic index and document CRUD operationsthat is, basic indexing and documentation, adding, deleting, changing, checking , manipulatingNote: The following operations are all operating in the
Inverted indexThe inverted index stems from the fact that a record needs to be found based on the value of the property. Each entry in this index table includes an attribute value and the address of each record that has that property value. Because the property value is not determined by the record, it is determined by the property value to determine the position of the record, and is therefore called an in
[Elasticsearch] index management (4)-Dynamic ing
Dynamic IC ing)
When ES encounters a field not previously seen in the document, it uses dynamic ing to determine the type of the field and automatically adds ing to the field.
Sometimes this is what you need, but sometimes it is not. You may not know which fields will be added to your documents in the future, but you want them to be automatically indexed. Ma
syntax, allowing to specify and|or| Not conditions and Multi-field search within a single query string. For expert users.
QueryBuilder query=querybuilders.querystringquery ("+kimchy-elasticsearch");
1.5 simple_query_string
A simpler, more robust version of the QUERY_STRING syntax suitable for exposing to users.
QueryBuilder
method of registration, a set of custom registration method)The default registration method code is as follows:[Httppost]public async taskThe custom registration method code is as follows:[Httppost]public async taskWell, to here we have completed the login registration function in the background, the code after the extraction, and then see is not very simple appearance, with the previous forms authentication code structure almost, packaging and packaging used up more convenient!
Elasticsearch Java API (ii): index create delete cluster managementElastic official website has the authoritative Java API English needs to be patient to see here to tidy up the basic operationCreate a MAVEN project to add dependencies First, customize a client to connect ES/*** Created by Forgeeks at 2017-03-22 18:27*/ Public classmyclient {PrivateSettings Settings; Privatetransportclient Client; Pr
) { =client.preparedelete ("index", "type", "PRIMARY key ID" ) . Execute () . Actionget (); Result=deleteresponse.getresult (). toString (); return result; }But this is only based on the primary key delete, if the query to delete accord
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