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1. User has some JSON files store data with the row-based format:  file_1.json, file_2.json.

   Code Block
   { "data": { "rows": [ {"id": 1, "year": 2021, "vector": [1.0, 1.1, 1.2]}, {"id": 2, "year": 2022, "vector": [2.0, 2.1, 2.2]}, {"id": 3, "year": 2023, "vector": [3.0, 3.1, 3.2]} ] } }

   The "options" could be:

   Code Block

   { "data_source": { "type": "Minio", "address": "localhost:9000", "accesskey_id": "minioadmin", "accesskey_secret": "minioadmin", "use_ssl": false, "bucket_name": "mybucket" }, "external_data": { "target_collection": "TEST", "chunks": [{ "files": [{ "path": "xxxx/file_1.json", "type": "row_based", "fields_mapping": { "table.rows.id": "uid", "table.rows.year": "year", "table.rows.vector": "vector" } }] }, { "files": [{ "path": "xxxx/file_2.json", "type": "row_based", "fields_mapping": { "table.rows.id": "uid", "table.rows.year": "year", "table.rows.vector": "vector" } }] } ], "default_fields": { "age": 0 } } }

   
   

2. User has some JSON files store data with the column-based format:  file_1.json, file_2.json.

   Code Block
   { "table": { "columns": [ "id": [1, 2, 3], "year": [2021, 2022, 2023], "vector": [ [1.0, 1.1, 1.2], [2.0, 2.1, 2.2], [3.0, 3.1, 3.2] ] ] } }

   The "options" could be:

   Code Block

   { "data_source": { "type": "Minio", "address": "localhost:9000", "accesskey_id": "minioadmin", "accesskey_secret": "minioadmin", "use_ssl": false, "bucket_name": "mybucket" }, "external_data": { "target_collection": "TEST", "chunks": [{ "files": [{ "path": "xxxx/file_1.json", "type": "column_based", "fields_mapping": { "table.rowscolumns.id": "uid", "table.rowscolumns.year": "year", "table.rowscolumns.vector": "vector" } }] }, { "files": [{ "path": "xxxx/file_2.json", "type": "column_based", "fields_mapping": { "table.rowscolumns.id": "uid", "table.rowscolumns.year": "year", "table.rowscolumns.vector": "vector" } }] } ], "default_fields": { "age": 0 } } }

   
   

3. User ha has a JSON file store data with the column-based format:  file_1.json, and a Numpy file store vectors data: file_2.npy
   Note: for hybrid format files, we only allow inputting a pair of files to reduce the complexity.
   The file_1.json:

{
  "table": {
    "columns": [
      "id": [1, 2, 3],
      "year": [2021, 2022, 2023],
      "age": [23, 34, 21]
      ]
    ]
  }
}

            The "options" could be:

{
  	"data_source": {
    		"type": "Minio",
    		"address": "localhost:9000",
    		"accesskey_id": "minioadmin",
    		"accesskey_secret": "minioadmin",
    		"use_ssl": false,
    		"bucket_name": "mybucket"
  	},

  	"external_data": {
    		"target_collection": "TEST",
    		"chunks": [{
				"files": [
      {
        "file{
					"path": "xxxx/file_1.json",
        "type": "column					"type": "column_based",
        					"fields_mapping": {
          "data						"table.columns.id": "uid",
          "data						"table.columns.year": "year",
          "data						"table.columns.age": "age",
        }
      
					}
				}]
			},
			{
        "file				"files": [{
					"path": "xxxx/file_2.npy",
        					"type": "column_based",
        					"fields_mapping": {
          "embedding						"vector": "embedding",
        }
      }
    ]
  vector"
					}
				}]
			}
		]
	}
}

The "options" for other SDK is not JSON object. For Java SDk, a declaration could be:

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