elasticsearch curl query

command methods for Windows to use Elasticsearch One, CURL (not recommended)Download the Curl installation package, unzip to the specified directory, and run the extracted exe file at the command line.Second, Cygwin (recommended)Install the Windows class Linux tools Cygin, after installation, add the bin directory to the environment variable to use.Third, install

parameterCurl-xpost http://localhost:9200/bigdata/product/-d ' {"Author": "Doug Cutting"} 'Add data to the index libraryIn the specific type, add the relevant documentCurl-xput http://master:9200/bigdata_p/product/-d ' {"name": "Hadoop", "Author": "Doug cutting", "c_version": "2.7.3"} 'Querying data in an index libraryQuerying the entire index library: Curl-xget Http://master:9200/bigdata_p/_search?prettyAdding a pretty after the URL will format the

#! /Bin/bash # Comperssion the data for elasticsearch now Date = 'date + % Y. % m. % d' # Compression the new index; /Usr/bin/curl-XPUT http: // localhost: 9200/logstash-$ date/nginx-access/_ mapping-d' {"nginx-access ": {"_ source": {"compress": true }}}' Echo "" /Usr/bin/curl-XPUT http: // localhost: 9200/logstash-$ date/nginx-error/_ mapping-d' {"nginx-error

# Comperssion the data for elasticsearch now Date = 'date + % Y. % m. % d' # Compression the new index; /Usr/bin/curl-xput http: // localhost: 9200/logstash-$ date/nginx-access/_ mapping-d' {"nginx-access ": {"_ source": {"compress": True }}}' Echo "" /Usr/bin/curl-xput http: // localhost: 9200/logstash-$ date/nginx-error/_ mapping-d' {"nginx-error ": {"_ source

Premise, isElasticsearch Curl Creating the Index library[[email protected] elasticsearch-2.4.3]$ curl-xput ' http://192.168.80.200:9200/zhouls/emp/1 '-d ' {"Name": " Tom "," Age ": 25} '{"_index": "Zhouls", "_type": "EMP", "_id": "1", "_version": 1, "_shards": {"Total": 2, "successful": 1, "Failed": 0}, " Created ": True}[[email protected]

"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 fastcgi.conf;}}4 Performance Tuning 4.1

Php curl-based Stock Information Query Class instance, curl Information Query This example describes the Stock Information Query Class implemented by php Based on curl. We will share this with you for your reference. The details a

,"cityname": "温岭","description": "温岭是个好城市"}}The following verify the implementation of the weighted sub-query Search interface: GET http://localhost:8080/api/city/search?pageNumber=0pageSize=10searchContent= wenlingThe data will appear[{"id": 1,"provinceid": 1,"cityname": "温岭","description": "温岭是个好城市"},{"id": 2,"provinceid": 2,"cityname": "温州","description": "温州是个热城市"}]From the background Console can be seen, print out the corresponding DSL statement:

Java uses ElasticSearch to query millions of users nearby, The previous article introduced how ElasticSearch uses Repository and ElasticSearchTemplate to construct complex query conditions, and briefly introduced the use of geographical location in ElasticSearch. In this art

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