使用rds-data或使用其他包，增加来自execute_sql的aws lambda结果的1000个限制？

Question

我一直在使用带有python lambda函数的AWS aurora来执行针对我们应用程序的查询。lambda函数的效果很好，但返回的结果不是前1000个，而是全部返回。我尝试通过使用分页器将限制增加到5000，找不到适合的解决方案：

import boto3
def lambda_handler(event, context):

   client = boto3.client('rds-data')
   readParam = event['query'] # readParam = 'select * from table;'
   database1 = event['database'] # Database name

   response = client.execute_sql(
      awsSecretStoreArn='arn:aws:secretsmanager:us-east-1:xxxxx:secret:abc/read-XXXX',
      database=database1,
      dbClusterOrInstanceArn='arn:aws:rds:us-east-1:xxxxx:cluster:abcd-abc',
      sqlStatements=readParam
   )

   return {
      'statusCode': 200,
      'headers': {
          'Content-Type': 'application/json',
          "Access-Control-Allow-Origin": "*",
          "Access-Control-Allow-Headers": "Content-Type",
          "Access-Control-Allow-Methods": "OPTIONS,POST"
       },
      'body': response
  }

`

我曾尝试使用SQLAlchemy和pydataapi并将AWS开发包部署到lambda，但这是行不通的。 lambda函数无法读取具有lambda_handler的适当python文件。代码如下：

import pymysql.cursors
from sqlalchemy.engine import create_engine
  def lambda_handler(event, context):
    readParam = event['query']
    database1 = event['database']

    engine = create_engine(
       'mysql+pydataapi://',
        connect_args={
           'resource_arn': 'arn:aws:rds:us-east-1:xxxx:cluster:abcd-abc',
           'secret_arn': 'arn:aws:secretsmanager:us-east-1:xxxx:secret:abc/read-XXXX',
        'database': 'mimic_dev'
    }
)

result: ResultProxy = engine.execute(readParam)

return {
    'statusCode': 200,
    'headers': {
        'Content-Type': 'application/json',
        "Access-Control-Allow-Origin": "*",
        "Access-Control-Allow-Headers": "Content-Type",
        "Access-Control-Allow-Methods": "OPTIONS,POST"
    },
    'body': result.fetchall
}

我一直在尝试其他更好的解决方案吗？任何帮助表示赞赏。谢谢

Answer 1

此问题已解决。资源：AWS lambda deployment Package in Python

以及以下代码：

import pymysql.cursors
import json

from sqlalchemy.engine import create_engine

def lambda_handler(event,context):
   engine = create_engine(
       'mysql+pydataapi://',
        connect_args={
        'resource_arn': 'arn:aws:rds:us-east-1:xxxxx:cluster:xxxx',
        'secret_arn': 'arn:aws:secretsmanager:us-east-1:xxxx:secret:decima/abcd-abc',
        'database': 'mimic_dev'
    }
)
   result: ResultProxy = engine.execute("select * from person limit 10000")
   resultValue = result.fetchall()
   return json.dumps([dict(r) for r in resultValue])