这是我的密码: def transform_pages(company, **context): ds = context.get("execution_date").strftime('%Y-%m-%d') s3 = S3Hook('aws_default') s3_conn = s3.get_conn() keys = s3.list_keys(bucket_name=Variable.get('s3_bucket'), prefix=f'S/{company}/pages/date={ds}/', delimiter=...
client.upload_fileobj(temp_file,"bucket-name", Key="static/%s"% img_obj.filename)#利用这个接口把文件上传到服务器后一直都是0比特 蛋疼。。。 查询资料发现原因。 我们先来看下 shutil.copyfileobj 的源码: defcopyfileobj(fsrc, fdst, length=16*1024):"""copy data from file-like object fsrc ...
Lambda可以使用open()方法打开的S3中的最大文件大小 您可以使用常规get_object,而无需将其写入/tmp: s3 = boto3.client('s3')def lambda_handler(event, context): response = s3.get_object( Bucket='your-bucket', Key='your-key' ) # get the content of the file as bytes text_bytes = response...
obj = s3.Object(s3_bucket_name,file) data=obj.get()['Body'].read()return{'message':"Success!"} 一旦代码尝试执行obj. get()['Body'].read()我就会收到以下错误: Response {"errorMessage":"","errorType":"MemoryError","stackTrace": [" File \"/var/task/lambda_function.py\", line 27...
fromshutilimportcopyfileobj temp_file = BytesIO() copyfileobj(img_obj.stream, temp_file) temp_file.seek(0)# 让游标回到0处client.upload_fileobj(temp_file,"bucket-name", Key="static/%s"% img_obj.filename) 或者直接把利用 FileStorage 的 stream 属性把文件上传到 S3,代码如下: ...
然后,问题来了。 利用下面的 S3 upload_fileobj接口把文件上传到 S3后,对应的文件一直都是 0 比特。 代码如下: 代码语言:python 代码运行次数:0 运行 AI代码解释 fromshutilimportcopyfileobj temp_file=BytesIO()copyfileobj(img_obj.stream,temp_file)client.upload_fileobj(temp_file,"bucket-name",Key="...
2.2 textFile() – Read text file from S3 into Dataset spark.read.textFile()method returns aDataset[String], like text(), we can also use this method to read multiple files at a time, reading patterns matching files and finally reading all files from a directory on S3 bucket into Dataset...
get_object(Bucket=bucket, Key=key) content = response['Body'] async with aiohttp.ClientSession() as session: async with session.post('http://downstream', data=content) as resp: # process response Sometimes the client just stops working and hangs until the app is restarted. The problem is...
step 4 of the prerequisites section. Apache Spark will assume this role to create an Iceberg table, add records to it and read from it. To enable this functionality, grant full table access tospark_roleand provide data location permission to the S3 b...
Python语言中的Pandas库对于数据操作、清理和处理非常有用,并允许你执行各种操作,如数据过滤、聚合和合并。 Example: importpandas as pd # Read in the datasetdf = pd.read_csv("data.csv") # Checkformissing valuesdf.isnull.sum # Drop rows with missing valuesdf = df.dropna ...