By adding search data through the rest API, reading the official documentation reveals that Elasticsearch supports dynamic mapping, but there are a lot of questions and listen slowly.
This article mainly tells about three points content:
1 Elasticsearch Common REST API
2
Xcontentfactory.jsonbuilder () each type will be converted to byte[], So if the object is already in this form and can be used directly, Jsonbuilder is a highly optimized JSON generator that constructs byte[] to explain four methods through the following code:
Index-api, Get-api, Delete-api, Update-api
/** * Es-
Environment
Centos 7.4
Python 2.7
PIP 2.7 Mysql-python 1.2.5 Elasticsearc 6.3.1
Elasitcsearch6.3.2
Knowledge points
Calling the Python Elasticsearh API
Python MYSQLDB Use
DSL Query and Aggregation
Pyehon list Operations
Code#!/usr/bin/env python#-*-coding:utf-8-*-#minyt 2018.9.1# Get the number of modules that occur within 24 hours # The program obtains the relevant refinement data through the
View all Indexcurl http://localhost:9200/_cat/indices?v See all doc volumes Curl Http://localhost:9200/_cat/count?v View all node storage spaces Turntable Curl http://localhost:9200/_cat/allocation?v View all node file system Status Curl http://localhost:9200/_nodes/stats/ Fs?pretty View all node available disk sizes Curl Http://localhost:9200/_cat/nodes?h=h,diskavail Help=^.^=/_cat/allocation/_cat/shards/_cat/shards/{index}/_cat/master/_cat/nodes/_ca
The Elasticsearch query is to construct the QueryBuilder object in the Java API by executing the query criteria in JSON format, Elasticsearch fully supports the QUERYDSL style query, The QueryBuilder build class is the Querybuilders,filter build class is filterbuilders. The following is an example of constructing QueryBuilder:
Import static org.elasticsearch.inde
This blog describes an easy way to index multiple documents Elasticsearch. The support of the Bulk API enables you to perform batch additions, deletions, updates, and so on at one time. The bulk operation uses the UDP protocol, and UDP cannot ensure that data is not lost when communicating with the Elasticsearch server. First, Bulk
Java official documentation for the main reference el: https://www.elastic.co/guide/en/elasticsearch/client/java-api/1.7/generate.html
A blog: http://www.cnblogs.com/huangfox/p/3543134.html
Elasticsearch Official Guide: http://es.xiaoleilu.com/010_Intro/30_Tutorial_Search.html
Key concepts of @xuguokun1986 code Understand the following nouns, as mentioned in the
elasticsearch-5.x JAVA API Part II: Cluster Health and segment merging1. Cluster healthFirst define a class to store cluster health informationPackage Com.zw.elasticsearch.cluster;public class Clusterhealth {//Cluster name private String clustername; Number of nodes in cluster private int number_of_node; Active total number of pieces private int number_of_activeshards; Number of active primary shards
ElasticSearch java API-use More like this to implement Content-based recommendation
ElasticSearch java API-use More like this to implement Content-based recommendation
Content-based recommendations generally give a document information, and then recommend the documents that meet the document. Lucene's
]View PlainCopy
Searchhits hits = Myresponse.gethits ();
for (int i = 0; i
System.out.println (Hits.gethits () [I].getsourceasstring ());}
It can also use Hits.gethits () [I].getsource (), which is a map format that can be displayed in detailThird, the implementation of other APIs during the searchWhen we read the DSL, we can see that the query has a lot of queries, such as multi-domain, such as filtering query conditions, the following for the
].getsourceasstring ());}
It can also use Hits.gethits () [I].getsource (), which is a map format that can be displayed in detailThird, the implementation of other APIs during the searchWhen we read the DSL, we can see that the query has a lot of queries, such as multi-domain, such as filtering query conditions, the following for the Elasticsearch server development of some basic query DSL given in the Java A
First, Elasticsearch participle
In the Elasticsearch, the Chinese participle is supported, but all the participle is in accordance with the word word, such as the standard word breaker standard, you can follow the way to query how to do participle
Http://localhost:9200/iktest/_analyze?prettyanalyzer=standardtext= People's Republic of China
The above example uses the standard to carry on the participle, t
1, full-text query overview
Https://www.elastic.co/guide/en/elasticsearch/client/java-api/6.1/java-full-text-queries.html
The high-level full text queries are usually used to running full text queries on full text fields like the ' body of ' an EM Ail. They understand how the field being queried are analyzed and would apply each field ' analyzer (or Search_analyzer) to the Q Uery string before executing. 1
= ImmutableSettings.settingsBuilder() .put("cluster.name", "myClusterName").build();Client client = new TransportClient(settings);//Add transport addresses and do something with the client...You can also use the elasticsearch.yml file to set.This client can sniff other parts of the cluster and add them to the list of machines. To turn on this feature, set client.transport.sniff to True.Settings settings = ImmutableSettings.settingsBuilder() .put("client.transport.sniff", true).
are not active, in an unusable stateRed:Not all indexes primary shard are active, some indexes have data loss
indices
get/_cat/indices/index1?v
query For information about the specified index index1 (the number of Shard that comprise an index, the number of document, the number of doc deleted, the main memory size, and the total storage size for all indexes (including replicas) the number of document and the number of deleted document are lucense level
Reprint: Http://m.blog.csdn.net/u012546526/article/details/74184769Elasticsearch Java API Common query Methods QueryBuilder Construction Example Environment Elasticsearch version5.1.1PomDependency> groupId>Org.elasticsearchgroupId> Artifactid>ElasticsearchArtifactid> version>5.1.1version>Dependency>Elasticsearch Index Mode number{ "type": "Long"}Strin
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