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Using Kibana or APIs to Import Data to Elasticsearch

You can import data in various formats, such as JSON and CSV, to Elasticsearch in CSS by using Kibana or APIs.

Importing Data Using Kibana

Before importing data, ensure that you can use Kibana to access the cluster. The following procedure illustrates how to use the POST command to import data.
  1. Log in to the Console page of Kibana. For details, see Accessing a Cluster Using Kibana on the Management Console.

    If it is your first time visiting the Console page of Kibana, choose Dev Tools from the left navigation pane. Click Get to work to switch to the Console page of Kibana. If it is not your first time, click Dev Tools to directly access the Console page of Kibana.

  2. (Optional) On the Console page, run the related command to create an index for the data to be stored and specify a user-defined mapping to define the data type:

    If there is an available index in the cluster where you want to import data, skip this step. If there is no available index, create an index by referring to the following sample code.

    For example, on the Console page of Kibana, run the following command to create an index named my_store and specify a user-defined mapping to define the data type: 
    PUT /my_store
{
  "settings": {
    "number_of_shards": 1
  },
  "mappings": {
    "products": {
      "properties": {
        "productName": {
          "type": "text"
          },
        "size": {
          "type": "keyword"
        }
      }
    }
  }
}
  3. In the text box on the right of the Console page, enter the following POST command (In this example, a data record is imported.): 
    POST /my_store/products/_bulk 
{"index":{}} 
{"productName":"Latest art shirts for women in 2017 autumn","size":"L"}

    The command output looks like that in Figure 1. If the value of the errors field in the result is false, the data is successfully imported.

    Figure 1 Response message

Importing Data Using APIs

The following procedure illustrates how to import a JSON data file using bulk APIs through the cURL command.

The size of the imported file cannot exceed 50 MB.

  1. Log in to the ECS that you use to access the cluster.

    For details about how to access a cluster, see Accessing a Cluster by Calling Elasticsearch APIs on the ECS That Is Located in the Same VPC as the Cluster.

  2. Run the following command to import JSON data:
    In the command, replace the value of {Private network address and port number of the node} with the private network address and port number of a node in the cluster. If the node fails to work, the command will fail to be executed. If the cluster contains multiple nodes, you can replace the value of {Private network address and port number of the node} with the private network address and port number of any available node in the cluster. If the cluster contains only one node, restore the node and execute the command again. test.json indicates the JSON file whose data is to be imported. 
    curl -X PUT "http://{Private network address and port number of the node} /_bulk" -H 'Content-Type: application/json' --data-binary @test.json

    The value of the -X parameter is a command and that of the -H parameter is a message header. In the preceding command, PUT is the value of the -X parameter and 'Content-Type: application/json' --data-binary @test.json is the value of the -H parameter. Do not add -k between a parameter and its value.

    Example: In this example, assume that you need to import data in the testdata.json file to an Elasticsearch cluster, where communication encryption is disabled and the private network address and port number of one node are 192.168.0.90 and 9200 respectively. The data in the testdata.json file is as follows:

    {"index": {"_index":"my_store","_type":"products"}}
{"productName":"Latest art shirts for women in autumn 2019","size":"M"}
{"index": {"_index":"my_store","_type":"products"}}
{"productName":"Latest art shirts for women in autumn 2019","size":"L"}

    Perform the following steps to import the data:

    1. Run the following command to create an index named my_store: 
      curl -X PUT http://192.168.0.90:9200/my_store -H 'Content-Type: application/json' -d '
 { 
   "settings": { 
     "number_of_shards": 1 
   }, 
   "mappings": { 
     "products": { 
       "properties": { 
         "productName": { 
           "type": "text" 
           }, 
         "size": { 
           "type": "keyword" 
         } 
       } 
     } 
   } 
 }'
    2. Run the following command to import the data in the testdata.json file: 
      curl -X PUT "http://192.168.0.90:9200/_bulk" -H 'Content-Type: application/json' --data-binary @testdata.json