Get started with Dev tools

Similarly to how you can work with the OpenSearch® service using cURL you can run the queries directly from OpenSearch Dashboards Dev Tools. The console contains both a request editor and a command output window.

To get you started, see the various examples of requests that are included below. You can see that these are same requests as in on how to use cURL, but in a pure DSL query form. This interface is helpful to populate index with sample data, or run a test query.

Use POST method to add a new item to an index called shopping-list. If the index doesn't exist yet, it will be created:

POST shopping-list/_doc
{
   "item": "apple",
   "quantity": 2
}

Follow by adding another item with a different set of fields:

POST shopping-list/_doc
{
    "item": "bucket",
    "color": "blue",
    "quantity": 5,
    "notes": "the one with the metal handle"
}

You can see the command output after running the query describing created item:

{
  "_index" : "shopping-list",
  "_type" : "_doc",
  "_id" : "jKTeWH0BMffxqtFft8Zv",
  "_version" : 1,
  "result" : "created",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 1,
  "_primary_term" : 1
}

Use GET method to send a query to find items with an apple:

GET _search
{
    "query": {
        "multi_match" : {
            "query" : "apple",
            "fields" : ["item", "notes"]
        }
    }
}

In the output you can see the full response from OpenSearch engine:

{
  "took" : 35,
  "timed_out" : false,
  "_shards" : {
    "total" : 9,
    "successful" : 9,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 0.6931471,
    "hits" : [
      {
        "_index" : "shopping-list",
        "_type" : "_doc",
        "_id" : "i6TdWH0BMffxqtFf7cZv",
        "_score" : 0.6931471,
        "_source" : {
          "item" : "apple",
          "quantity" : 2
        }
      }
    ]
  }
}

Additionally, you can navigate through the history of queries and run them again.