使用 Python 和 AWS Lambda 將具有嵌套結構的 pandas dataframe 寫入 DynamoDB

Question

我正在嘗試將 Pandas dataframe 寫入 DynamoDB 表。 此框架有嵌套對象

{
  "PK": {
    "S": "2"
  },
  "SK": {
    "S": "INFO"
  },
  "001": {
    "M": {
      "New_Some": {
        "N": "6"
      },
      "New_Some1": {
        "N": "2"
      },
      "New_Some2": {
        "N": "1"
      },
      "New_Some3": {
        "N": "1"
      }
    }
  },
  "status": {
    "S": "New"
  },
  "ModelVals": {
    "L": [
      {
        "M": {
          "Models": {
            "L": [
              {
                "S": "ABC123"
              }
            ]
          },
          "class": {
            "S": "XYZ222"
          }
        }
      }
    ]
  },

我的 pandas dataframe 列包含如下列表和字典 -

column1- ["mfg_nom", "mfg_nom", "mfg_nom", "mfg_nom"]
column2 - ["ZZY", "ZZY", "XYZ", "XYZ"]
column3 - ["1", "2", "2", "1"]

and 

column4 - {"New_Some": "0.000"}
column5 - {"New_Some1": "636.000"}
column6 - {}
column7 - {"Insta": 7, "Other": 7}

pandas dataframe 包含多個嵌套列表和字典。 如何創建此行以插入到 dynamoDB 中。 到目前為止，我已經在下面嘗試過，但它只適用於 String 而不是 Arrays

    df = wr.s3.read_parquet(path=s3_path, 
                            dataset=dataset,
                            path_suffix = path_suffix).isna()    

with table.batch_writer() as batch:
        for index, row in df.iterrows():
            print(row.to_json())
            batch.put_item(json.loads(row.to_json(), parse_float=Decimal))

出現錯誤 -

"An error occurred (ValidationException) when calling the BatchWriteItem operation: The provided key element does not match the schema",
 

Answer 1

我的建議是使用 AWS Glue 而不是 Lambda，它有一個內置的 DynamoDB 連接器，允許您從 S3 讀取並直接寫入 DynamoDB。

https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-connect.html#aws-glue-programming-etl-connect-dynamodb

但是，如果您必須使用 Lambda，則可以為 DynamoDB 使用 awswrangler：

https://aws-sdk-pandas.readthedocs.io/en/stable/stubs/awswrangler.dynamodb.put_df.html