This topic describes how to use the data integration feature of DataWorks to migrate JSON data from Object Storage Service (OSS) to MaxCompute and use the GET_JSON_OBJECT function to extract JSON objects.


  • MaxCompute is activated.
  • A workflow is created in the DataWorks console. In this example, a workflow is created in a DataWorks workspace in basic mode. For more information, see Create a workflow.
  • A TXT file that contains JSON data is uploaded to an OSS bucket. In this example, the OSS bucket is in the China (Shanghai) region. The TXT file contains the following JSON data:
        "store": {
            "book": [
                    "category": "reference",
                    "author": "Nigel Rees",
                    "title": "Sayings of the Century",
                    "price": 8.95
                    "category": "fiction",
                    "author": "Evelyn Waugh",
                    "title": "Sword of Honour",
                    "price": 12.99
                     "category": "fiction",
                     "author": "J. R. R. Tolkien",
                     "title": "The Lord of the Rings",
                     "isbn": "0-395-19395-8",
                     "price": 22.99
              "bicycle": {
                  "color": "red",
                  "price": 19.95
        "expensive": 10

Migrate JSON data from OSS to MaxCompute

  1. Add an OSS connection. For more information, see Add an OSS data source.
  2. Create a table in DataWorks to store the JSON data to be migrated from OSS.
    1. Login DataWorks console.
    2. In create a table page, select the engine type, and enter table name.
    3. On the table editing page, click DDL Statement.
    4. In the DDL Statement dialog box, enter the following statement and click Generate Table Schema:
      create table mqdata (mq_data string);
    5. Click Submit to Production Environment.
  3. Create a batch synchronization node.
    1. Go to the data analytics page. Right-click the specified workflow and choose new > data integration > offline synchronization.
    2. In create a node dialog box, enter node name, and click submit.
    3. In the top navigation bar, choose Conversion scripticon.
    4. In script mode, click **icon.
    5. In import Template dialog box SOURCE type, data source, target type and data source, and click confirm.
    6. Modify JSON code and click the Run icon icon.
      Sample code:
          "type": "job",
          "steps": [
                  "stepType": "oss",
                  "parameter": {
                      "fieldDelimiterOrigin": "^",
                      "nullFormat": "",
                      "compress": "",
                      "datasource": "OSS_userlog",
                      "column": [
                              "name": 0,
                              "type": "string",
                              "index": 0
                      "skipHeader": "false",
                      "encoding": "UTF-8",
                      "fieldDelimiter": "^",
                      "fileFormat": "binary",
                      "object": [
                  "name": "Reader",
                  "category": "reader"
                  "stepType": "odps",
                  "parameter": {
                      "partition": "",
                      "isCompress": false,
                      "truncate": true,
                      "datasource": "odps_first",
                      "column": [
                      "emptyAsNull": false,
                      "table": "mqdata"
                  "name": "Writer",
                  "category": "writer"
          "version": "2.0",
          "order": {
              "hops": [
                      "from": "Reader",
                      "to": "Writer"
          "setting": {
              "errorLimit": {
                  "record": ""
              "speed": {
                  "concurrent": 2,
                  "throttle": false

Use the GET_JSON_OBJECT function to extract JSON objects

Create an ODPS SQL node.
  1. Right-click the workflow and choose new > MaxCompute > ODPS SQL.
  2. In create a function dialog box, enter function name, click submit.
  3. On the configuration tab of the ODPS SQL node, enter the following statements:
    --Query data in the mqdata table.
    SELECT * from mqdata;
    --Obtain the value of the expensive field.
    SELECT GET_JSON_OBJECT(mqdata.MQdata,'$.expensive') FROM mqdata;
  4. Click ** icon to run the code.
  5. You can operation Log view the results.