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Showing posts with the label #Kibana

Elastic search Aggregations (Metrics) Part - 5

In the previous post we saw about how to create index and how can we map fields in elastic search now we will see how aggregations work in elastic search. If not referred previous post just have an overview of it and then read this tutorial. In the previous post we prepared an index for elastic search known as company.In that we have a type called employee and various fields beneath. Now lets insert some documents for application of aggregations. POST company/employee/1 {   "employee_company_name":"jobs beach",   "employee_dateofjoining": "2015-01-01",   "employee_designation":"software developer",   "employee_experience":2,   "employee_name":"rushabh thakkar",   "employee_salary":19000,   "employee_technology":"java" } POST company/employee/2 {   "employee_company_name":"jobs sky",   "employee_dateofjoining": ...

Getting started With Elastic Search(Part - 2)

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In the previous post we had seen the installation of Elastic search and Kibana,Hope all have successfully installed and ready. Start elastic search by double click on elasticsearch.bat file and just hit url as                              http://localhost:9200/  Start Kibana by double click on kibana.bat file and hit url as  http://localhost:5601 These are the two things we require to work with ,Opening Kibana you will find Dev Tools option. . By clicking you will find two panes The left pane has your commands, which should be formatted with the HTTP action (GET, POST, PUT) and the URL . In the case of a GET, that will be all you need. In the case of a POST or PUT with a body, you’ll provide the body as JSON on subsequent lines. To run the command, simply click the green arrow next to it. Initially We are new here so we don't have data to work with so let's create some da...