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=...
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...
# Specify the inputandoutput locations in S3input_data = sagemaker.s3_input(s3_data='s3://my-bucket/data/train', content_type='csv')output_data = sagemaker.s3_output(s3_data='s3://my-bucket/data/output') # Create a modelmodel = sagemaker.estimator.Estimator(image_name='image:1.0',ro...
print(img['file_name']); path = "s3://carbonsouth/traffic-light-input/" + img['file_name'] bucket_name, file = parser_path(path) resp = obs_client.putFile(bucket_name, file, file_path="/Users/xubo/Desktop/xubo/data/train2017/" + img['file_name']) if resp.status < 300: pri...
34 20 10 2 months ago gradle-aws-s3-sync The gradle task for synchronizing a local directory with a AWS S3 bucket. 34 4 5 2 months ago gradle-js JavaScript Builds for Gradle. You're Welcome. 34 6 7 5 months ago arquillian-gradle-plugin Gradle Plugin for handling Container control and...
s3pdf_cli = S3ReaderWriter(pdf_ak, pdf_sk, pdf_endpoint) image_dir = "s3://img_bucket/" s3image_cli = S3ReaderWriter(img_ak, img_sk, img_endpoint, parent_path=image_dir) pdf_bytes = s3pdf_cli.read(s3_pdf_path, mode=s3pdf_cli.MODE_BIN) jso_useful_key = {"_pdf_type": "...
使用pd.read_csv()在S3位置读取csv文件的编码问题 、、、 问题:在试图使用pd.read_csv()读取S3位置的CSV文件时,得到了一个编码错误。.client('s3') obj = s3_client.get_object(Bucket=s3_bucket, Key=s3_key) # readcsv file from s3但这是我遇到的错误:'utf-8‘编解码器无 浏览3提问于2021-07-14...
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dataset/channel', mip=[ 8, 8, 40 ], bounded=True, fill_missing=False) # set mip at this resolution vol = CloudVolume('gs://bucket/datasset/channel', info=info) # New info file from scratch image = vol[:,:,:] # Download the entire image stack into a numpy array image = vol....
The parquet file size is 1.4 GB. Here is the code: batch size is 5000 for batch in pq.read_table("bucket_path", filesystem=self.s3_file_system).to_batches(batch_size) It stucks and there is no exception or anything. Component(s) Parquet, PythonunReaL...