elasticsearch query index

ElasticSearch JAVA API Official document: Https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/java-docs-index.htmlFirst, generate JSONThe first step in creating an index is to convert the object to a JSON string. There are four ways to create JSON documents:1.1 Handwriting Style generationString json = "{" + "\"user\":\"kimchy\"," +

"data_type = "List"Key = "Logstash:redis"}}Agent StartupJava-jar Logstash-1.1.0-monolithic.jar agent-f shipper.conf 3.3.4 Kibana ConfigurationFirst add site configuration in Nginxserver {Listen 80;server_name logstash.test.com;Index index.php;root/usr/local/nginx/html;#charset Koi8-r;#access_log Logs/host.access.log Main;Location ~. *\. (PHP|PHP5) ${#fastcgi_pass Unix:/tmp/php-cgi.sock;Fastcgi_pass 127.0.0.1:9000;Fastcgi_index index.php;Include fastcg

1. CREATE index The creation of the index can be done in the CREATE TABLE statement, or you can add indexes to the table separately with the CREATE INDEX or ALTER TABLE. The following command statements show how to create a primary key index (PRIMARY key), a federated Index

When we use Logstash to collect logs, we usually use the dynamic Index template that comes with logstash, although we can push our log data to the Elasticsearch index cluster without any custom action, but when we query, we find that The default index template often puts us

As stated in the previous article, ES can automatically index documents. But here's the problem-- What if the index of the default setting isn't what we want? To know es this search engine is the actual partition with index, index contains different types, different types are logical partitions, each type may con

1, first, for example, the following data is submitted to ES that index{"Number": 32768, "singer": "Yang Kun", "Size": "5109132", "Song": "20 years old Tonight", "tag": "China good Voice", "Timelen": 319}{"Number": 32769, "singer": "Wang Feng", "Size": "6001697", "song": "I Love You China", "tag": "China good Voice", "Timelen": 375}{"Number": 32780, "singer": "Wang Feng", "Size": "4070469", "song": "I Love You So", "tag": "China Good Sound", "Timelen"

1, Elasticsearch (search engine) queryElasticsearch is a very powerful search engine that uses it to quickly query to the required data.Enquiry Category:Basic query: Query with Elasticsearch built-in query criteriaCombine queries:

Tags: elasticsearch distributed storage distributed search1. First, submit the following data to es to create an index. {"Number": 32768, "Singer": "Yang Kun", "size": "5109132", "Song": "", "tag ": "Voice of China", "timelen": 319}{"Number": 32769, "Singer": "Wang Feng", "size": "6001697", "Song": "I love you China", "tag ": "Voice of China", "timelen": 375}{"Number": 32780, "Singer": "Wang Feng", "size":

matching document is 1. In this example, the value of Bitset is [0,0,0,0,0]. Internally, it is represented as a "roaring bitmap" that can efficiently encode sparse or dense collections at the same time. Iterative Bitset (s)Once bitsets is generated for each query, Elasticsearch loops through the bitsets to find a collection of matching documents that meet all the filtering criteria. The order of execution

For an introduction to curl creating an index library, pleaseElasticsearch Curl Creating the Index library[Email protected] elasticsearch-2.4.3]$ curl-xput ' http://192.168.80.200:9200/zhouls '{"Error": {"Root_cause": [{"Type": "Index_already_exists_exception", "Reason": "already exists", "index": "Zhouls"}], "Type ":"

1. Add Maven DependencyXML code dependency> groupId>org.elasticsearchgroupId> artifactid>elasticsearchartifactid> version>0.90.0version> Dependency> It is recommended to use MAVEN to manage the project because Elasticsearch has a lot of dependencies and manual maintenance is cumbersome2. Create a client that connects to the Elasticsearch serviceJava code Settings Setti

I want to use elasticsearch to perform intra-site search for blog articles and use php in the background. All the fields in article table articles are as follows: {code...} now I want to create an index for the title field, content field, and updated_at field in the article table. The following is my reference to elastics... I want to use elasticsearch for blog p

Used to 6.2, and thought that like 5.X allows the creation of a parent-child relationship document, that is, one index allows the mapping of multiple types, the operation will not find a viableThe following code:put/company{ "mappings": { "branch": {}, "employee": { "_parent": { "type": "Branch" } } }}Find the latest official documentation and give a description to the effect that:6.0.0 Removing an

In Elasticsearch, it is sometimes necessary to filter the data for a certain period of time by the index date, and then use the date mathematical expression provided by ES Describe:Especially in the log data, just query the log data for a period of time, then you can use the date mathematical expression, which can limit the number of indexes retrieved, reduc

I want to use Elasticsearch for blog posts to do the site search, backstage with PHP. The full fields of the article table articles are as follows: id title content user_id created_at updated_at Now I want to create an index of three fields for the title field, the Content field, and the Updated_at field of the article table. Here is my reference to the official document of the

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 API When using the bulk command

Using Elasticsearch to do site search, background frame is laravel, so use this laravel package, "Elasticquent" (https://github.com/elasticquent/Elasticquent) , Problem:If there is a artiles table in MySQL, and now there is a new article to join, then how does the Elasticsearch index automatically synchronize the data in the MySQL artiles table? Reply conten

is 1, and the same record is appended with 1 each time the modification is made.At this point a record is submitted to ES to establish an index, note that the method of HTTP is put, do not choose the wrong.Query for indexed documentsThe restful interface for documents queried based on the ID of the index is as followsUrl:http://127.0.0.1:9200/song001/list001/1The HTTP method takes the form of get.Updating

Elasticsearch provides a simple analysis of the index logic. Here we will only clarify the main context, and some details will be elaborated in future articles. If you call the elasticsearch index interface through Java APIs, you first construct a JSON string (represented as xcontent in ES, which is an abstraction of t

Backup Script es_backup.sh:#!/bin/bash#备份昨天数据, deleted 30 days ago Index host= ' hostname ' es_user=$1es_passwd=$2# get yesterday date (backup used) date_yesterday= ' date-d '-1 day "+%y.%m.%d ' # Gets the current timestamp date_now= ' Date +%s ' #获取一个月前的日期date_month_ago = ' date [emailprotected]$[$date _now-2592000] "+%y.%m.%d" ' For i in Txxxx zhaoxxx #指定备份索引do #判断仓库是否存在, does not exist create code= ' Curl-xget-u$es_user: $es _passwd-s-W "%{http_cod