Insert Rows

You can insert a new row in a table in the Catalyst Data Store by referring to the table’s unique ID or name. You can also insert multiple rows in a table as explained in the next section.

The table_service reference used in the code below can either be a table instance or table meta created earlier.

Insert a Single Row

You must create a dictionary containing the row details in a {column name : column value} format, and pass it as an argument to the insert_row() method, as shown below. This inserts the rows in the table that you refer by its unique tablename or tableID.

A unique ID value for the row is automatically generated once the row is inserted. To know more about the component instancedatastore_service and the table instancetable_service used below, please refer to their respective help sections.

Parameters Used

    

        
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         #Insert a single row in the table
datastore_service = app.datastore()
table_service = datastore_service.table("Employee")
row_data = {'name': 'George Hamilton', 'id': '6868', 'age': '22'}
row_response = table_service.insert_row(row_data)

    

A sample response is shown below :

    

        
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         {
  CREATORID: "2136000000006003",
  MODIFIEDTIME: "2021-08-16 16:30:12:799",
  Name: "George Hamilton",
  Age: 22,
  ID: 6868,
  CREATEDTIME: "2021-08-16 16:30:12:799",
  ROWID: "2136000000011015"
}

    

Insert Multiple Rows

You can insert multiple rows in a table by constructing an array that contains the rows, and passing it as an argument to the insert_rows() method as shown below. To know more about the component instancedatastore_service and the table instancetable_service used below, please refer to their respective help sections.

This returns a response containing an array of row objects.

Parameters Used

    

        
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         datastore_service = app.datastore()
table_service = datastore_service.table("Employee")
row_data = [{'name': 'Mark Wellington', 'id': '7218', 'age': '29'},
            {'name': 'Zendaya Jones', 'id': '3211', 'age': '32'}]
row_response = table_service.insert_rows(row_data)

    

A sample response is shown below :

    

        
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         [
  {
    CREATORID: "2136000000006003",
    MODIFIEDTIME: "2021-08-25 13:55:04:904",
    Name: "Mark Wellington",
    Age: 29,
    ID: 7218,
    CREATEDTIME: "2021-08-25 13:55:04:904",
    ROWID: 2136000000011015
  },
  {
    CREATORID: "2136000000006003",
    MODIFIEDTIME: "2021-08-25 13:55:04:906",
    Name: "Zendaya Jones",
    Age: 32,
    ID: 3211,
    CREATEDTIME: "2021-08-25 13:55:04:906",
    ROWID: 2136000000011016
  }
]