Open search is a drop-in replacement for elastic search. Open-sourced by AWS and recently got an RC.
Getting Started
To start, let’s use the official Docker compose file. If you are new to Docker, then go to the folder where you have downloaded the file and start the services using
docker-compose up
You can read more about the docker-compose here.
Troubleshooting:
Open search needs more virtual memory than allocated by the default docker-machine. So you can increase to a higher number using the following commands in windows
Once it is done then you can browse for the dashboard at http://localhost:5601/ and login with the default user name/password (admin/admin)
Basic CRUD operation
OpenSearch is a document database under the hood, and to start with, I will show the essential document operation is inserting, Reading, updating, and delete the operation.
Let's open up http://localhost:5601/app/dev_tools#/console for playing around.
Open Search works on Index and Index provides a place where we can group the documents. So you can loosely associate this with tables for this blog post, But as we delve deep into the concepts Index this may vary.
create an Index, We can use the following
PUT place
This will create a new index to the elastic search Database.
Insert
To insert a Data into the Places index, You can use Post or Put
PUT place/_doc/1
{
“name”:”london”
}
Post can be used when you want elastic to autogenerate ID.
Read :
To get the inserted Data, you can use Get
GET place/_doc/1
Update
Update follows a different semantic than other constructs.
You need to use the URL to mention the intention that you are planning to update the doc inside the index of Place
Delete
You can delete the document using a simple Delete HTTP verb
DELETE place/_doc/1
