boto3

问题 My codes return no error but I don't see a table in Redshift...if I put "if table exist" and try to create a table I know exists it does nothing and returns no error. Take that out and it will return duplicatetable error which is odd. import boto3 import psycopg2 import sys #Assign global variables data needed to make connection to Redshift DB_NAME = '<database>' CLUSTER_IDENTIFIER = '<clusterName>' DB_USER = '<user>' ENDPOINT = '<clustername>.<randomkey>.us-east-1.redshift.amazonaws.com'

问题 My codes return no error but I don't see a table in Redshift...if I put "if table exist" and try to create a table I know exists it does nothing and returns no error. Take that out and it will return duplicatetable error which is odd. import boto3 import psycopg2 import sys #Assign global variables data needed to make connection to Redshift DB_NAME = '<database>' CLUSTER_IDENTIFIER = '<clusterName>' DB_USER = '<user>' ENDPOINT = '<clustername>.<randomkey>.us-east-1.redshift.amazonaws.com'

问题 Is there a way to filter s3 objects by last modified date in boto3? I've constructed a large text file list of all the contents in a bucket. Some time has passed and I'd like to list only objects that were added after the last time I looped through the entire bucket. I know I can use the Marker property to start from a certain object name,so I could give it the last object I processed in the text file but that does not guarantee a new object wasn't added before that object name. e.g. if the

问题 I have multiple keys under my aws s3 bucket. The structure is : bucket/tableName1/Archive/archive1.json - to - bucket/tableName1/Archive/archiveN.json bucket/tableName2/Archive/archive2.json - to - bucket/tableName2/Archive/archiveN.json bucket/tableName1/Audit/audit1.json - to - bucket/tableName1/Audit/auditN.json bucket/tableName2/Audit/audit2.json - to - bucket/tableName2/Audit/auditN.json I want to get the keys from the Audit folder only if it is present in a key and get only the the

问题 I have multiple keys under my aws s3 bucket. The structure is : bucket/tableName1/Archive/archive1.json - to - bucket/tableName1/Archive/archiveN.json bucket/tableName2/Archive/archive2.json - to - bucket/tableName2/Archive/archiveN.json bucket/tableName1/Audit/audit1.json - to - bucket/tableName1/Audit/auditN.json bucket/tableName2/Audit/audit2.json - to - bucket/tableName2/Audit/auditN.json I want to get the keys from the Audit folder only if it is present in a key and get only the the

问题 This is the table partition key setting The table content When I tried to get an item from the table, it prints this error botocore.exceptions.ClientError: An error occurred (ValidationException) when calling the GetItem operation: The provided key element does not match the schema This is my code dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('testDynamodb') response = table.get_item(Key={'userId': "user2873"}) item = response['Item'] print(item) Any ideas? thanks. 回答1: Your

问题 This is the table partition key setting The table content When I tried to get an item from the table, it prints this error botocore.exceptions.ClientError: An error occurred (ValidationException) when calling the GetItem operation: The provided key element does not match the schema This is my code dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('testDynamodb') response = table.get_item(Key={'userId': "user2873"}) item = response['Item'] print(item) Any ideas? thanks. 回答1: Your

问题 I want to upload a HDF5 file created with h5py to S3 bucket without saving locally using boto3. This solution uses pickle.dumps and pickle.loads and other solutions I have found, store the file locally which I like to avoid. 回答1: You can use io.BytesIO() to and put_object as illustrated here 6. Hope this helps. Even in this case, you'd have to 'store' the data locally(though 'in memory'). You could also create a tempfile.TemporaryFile and then upload your file with put_object. I don't think

问题 I want to upload a HDF5 file created with h5py to S3 bucket without saving locally using boto3. This solution uses pickle.dumps and pickle.loads and other solutions I have found, store the file locally which I like to avoid. 回答1: You can use io.BytesIO() to and put_object as illustrated here 6. Hope this helps. Even in this case, you'd have to 'store' the data locally(though 'in memory'). You could also create a tempfile.TemporaryFile and then upload your file with put_object. I don't think

问题 I created a DynamoDB table that is used for storing metadata, with different attributes for different types of data (file size, date, etc., as separate attributes). I am trying to take a Python3 dictionary and use it as the source for a bunch of attributes that need to be uploaded to the table. So far, I've been able to successfully upload the entire dictionary as one attribute, but I want each key:value pair to be its own attribute in the database. In other words, each key:value pair from