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Louie NRT Story
[AWS] Lambda programming for DynamoDB 본문
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Create Table
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | import boto3 dynamodb = boto3.resource('dynamodb', region_name='us-west-2') table = dynamodb.create_table( TableName='Movies', KeySchema=[ { 'AttributeName': 'year', 'KeyType': 'HASH' #Partition key }, { 'AttributeName': 'title', 'KeyType': 'RANGE' #Sort key } ], AttributeDefinitions=[ { 'AttributeName': 'year', 'AttributeType': 'N' }, { 'AttributeName': 'title', 'AttributeType': 'S' }, ], ProvisionedThroughput={ 'ReadCapacityUnits': 10, 'WriteCapacityUnits': 10 } ) print("Table status:", table.table_status) | cs |
Insert Data
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | import boto3 import json import decimal # Helper class to convert a DynamoDB item to JSON. class DecimalEncoder(json.JSONEncoder): def default(self, o): if isinstance(o, decimal.Decimal): if abs(o) % 1 > 0: return float(o) else: return int(o) return super(DecimalEncoder, self).default(o) dynamodb = boto3.resource('dynamodb', region_name='us-west-2') table = dynamodb.Table('Movies') title = "The Big New Movie" year = 2015 response = table.put_item( Item={ 'year': year, 'title': title, 'info': { 'plot':"Nothing happens at all.", 'rating': decimal.Decimal(0) } } ) print("PutItem succeeded:") print(json.dumps(response, indent=4, cls=DecimalEncoder)) |
Select Data
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | from __future__ import print_function # Python 2/3 compatibility import boto3 import json import decimal from boto3.dynamodb.conditions import Key, Attr # Helper class to convert a DynamoDB item to JSON. class DecimalEncoder(json.JSONEncoder): def default(self, o): if isinstance(o, decimal.Decimal): return str(o) return super(DecimalEncoder, self).default(o) dynamodb = boto3.resource('dynamodb', region_name='us-west-2') table = dynamodb.Table('Movies') print("Movies from 1992 - titles A-L, with genres and lead actor") response = table.query( ProjectionExpression="#yr, title, info.genres, info.actors[0]", ExpressionAttributeNames={ "#yr": "year" }, # Expression Attribute Names for Projection Expression only. KeyConditionExpression=Key('year').eq(1992) & Key('title').between('A', 'L') ) for i in response[u'Items']: print(json.dumps(i, cls=DecimalEncoder)) | cs |
Update Data
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | import boto3 import json import decimal # Helper class to convert a DynamoDB item to JSON. class DecimalEncoder(json.JSONEncoder): def default(self, o): if isinstance(o, decimal.Decimal): if o % 1 > 0: return float(o) else: return int(o) return super(DecimalEncoder, self).default(o) dynamodb = boto3.resource('dynamodb', region_name='us-west-2') table = dynamodb.Table('Movies') title = "The Big New Movie" year = 2015 response = table.update_item( Key={ 'year': year, 'title': title }, UpdateExpression="set info.rating = :r, info.plot=:p, info.actors=:a", ExpressionAttributeValues={ ':r': decimal.Decimal(5.5), ':p': "Everything happens all at once.", ':a': ["Larry", "Moe", "Curly"] }, ReturnValues="UPDATED_NEW" ) print("UpdateItem succeeded:") print(json.dumps(response, indent=4, cls=DecimalEncoder)) | cs |
[출처] https://www.qwiklabs.com
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