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Help Center/ Cloud Search Service/ User Guide/ Using Elasticsearch for Data Search/ Importing Data to an Elasticsearch Cluster/ Using Open Source Elasticsearch APIs to Import Data to Elasticsearch

Using Open Source Elasticsearch APIs to Import Data to Elasticsearch

Updated on 2025-01-23 GMT+08:00

With CSS, you can use open-source Elasticsearch APIs on Kibana or an ECS server to import data to an Elasticsearch cluster. JSON files are supported.

Using an Open-Source Elasticsearch API to Import Data on Kibana

On Kibana, you can run POST commands to import single pieces of data using an open-source Elasticsearch API.
  1. Log in to the CSS management console.
  2. In the navigation pane on the left, choose Clusters > Elasticsearch to switch to the Clusters page.
  3. Locate the target cluster, and click Access Kibana in the Operation column to log in to Kibana.
  4. Click Dev Tools in the navigation tree on the left.
  5. Run the following command on the console to check whether the cluster has indexes:
    GET _cat/indices?v
    • If indexes are available in the cluster to which you want to import data, you do not need to create an index. Go to 7.
    • If no indexes are available in the cluster, go to the next step to create an index.
  6. Run the following command to create an index for storing imported data and create a custom mapping to define the data type.

    For example, run the following command to create index my_store:

    Run the following command for Elasticsearch earlier than 7.x:
    PUT /my_store
    {
        "settings": {
            "number_of_shards": 1
        },
        "mappings": {
            "products": {
                "properties": {
                    "productName": {
                        "type": "text"
                    },
                    "size": {
                        "type": "keyword"
                    }
                }
            }
        }
    }

    Run the following command for Elasticsearch 7.x or later:

    PUT /my_store
    {
        "settings": {
            "number_of_shards": 1
        },
        "mappings": {
            "properties": {
                "productName": {
                    "type": "text"
                },
                "size": {
                    "type": "keyword"
                }
            }
        }
    }
  7. Run commands on Kibana to import data. In the example below, only a single piece of data is imported:
    Run the following command for Elasticsearch earlier than 7.x:
    POST /my_store/products/_bulk 
    {"index":{}} 
    {"productName":"Latest art shirts for women in 2017 autumn","size":"L"}

    Run the following command for Elasticsearch 7.x or later:

    POST /my_store/_bulk  
    {"index":{}}  
    {"productName":"Latest art shirts for women in 2017 autumn","size":"L"}

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

    Figure 1 Response message

Using an Open-Source Elasticsearch API to Import Data on an ECS Server

On an ECS server, you can run cURL commands to use an open-source Elasticsearch API to import JSON files.

In the example below, a cluster in non-security mode is used to describe how to import data using cURL commands. For the commands for a security cluster, see Accessing an Elasticsearch Cluster Using cURL Commands.

  1. Log in to the CSS management console.
  2. In the navigation pane on the left, choose Clusters > Elasticsearch to switch to the Clusters page.
  3. In the cluster list, obtain the IP address of the target cluster from the Private Network Address column. Generally, the IP address format is <host>:<port> or <host>:<port>,<host>:<port>.

    If the cluster has only one node, the IP address and port number of this one node are displayed, for example, 10.62.179.32:9200. If the cluster has multiple nodes, the IP addresses and port numbers of all nodes are displayed, for example, 10.62.179.32:9200,10.62.179.33:9200.

  4. Log in to the ECS that you are going to use to import data.

    For how to buy and use an ECS, see Purchasing and Logging In to a Linux ECS.

  5. Upload a JSON file to the ECS.

    For example, save the following data as a JSON file and upload the file to the ECS:

    For Elasticsearch earlier than 7.x:
    {"index": {"_index":"my_store","_type":"products"}}
    {"productName":"Autumn new woman blouses 2019","size":"M"}
    {"index": {"_index":"my_store","_type":"products"}}
    {"productName":"Autumn new woman blouses 2019","size":"L"}
    For Elasticsearch 7.x or later:
    {"index": {"_index":"my_store"}}
    {"productName":"Autumn new woman blouse 2019","size":"M"}
    {"index": {"_index":"my_store"}}
    {"productName":"Autumn new woman blouses 2019","size":"L"}
  6. Run the following command in the path where the JSON file is stored in the ECS to import the JSON file to an Elasticsearch cluster.
    curl -X PUT "http://{Private network address and port number of the node} /_bulk" -H 'Content-Type: application/json' --data-binary @test.json

    Replace {Private network address and port number of the node} with the private network address and port number of a node in the cluster. In the case the failure of a cluster node, if the cluster contains multiple nodes, you can replace {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 this node and execute the command again. test.json indicates the JSON file to be imported.

    NOTE:

    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 test.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.

    1. Run the following command to create an index named my_store:
      Run the following command for Elasticsearch earlier than 7.x:
      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" 
               } 
             } 
           } 
         } 
       }'

      Run the following command for Elasticsearch 7.x or later:

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

      In this case, if the following information is displayed, the data is successfully imported:

      {"took":204,"errors":false,"items":[{"index":{"_index":"my_store","_type":"_doc","_id":"DJQkBIwBbJvUd2769Wi-","_version":1,"result":"created","_shards":{"total":2,"successful":1,"failed":0},"_seq_no":0,"_primary_term":1,"status":201}},{"index":{"_index":"my_store","_type":"_doc","_id":"DZQkBIwBbJvUd2769Wi_","_version":1,"result":"created","_shards":{"total":2,"successful":1,"failed":0},"_seq_no":1,"_primary_term":1,"status":201}}]}

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