我们正在为我们的DynamoDB使用boto3,我们需要对表格进行全面扫描,以便根据我们需要进行分页的其他帖子来执行此操作。但是,我们无法找到分页的工作样本。这就是我们所做的。
import boto3
client_setting = boto3.client('dynamodb', region_name='ap-southeast-2')
paginator = client_setting.get_paginator('scan')
esk = {}
data = []
unconverted_ga = ourQuery(params1, params2)
for page in unconverted_ga:
data.append(page)
esk = page['LastEvaluatedKey']
我们不确切知道如何将esk作为我们下一个查询的ExclusiveStartKey。 ExclusiveStartkey参数的预期值应该是多少?我们仍然是DynamoDB的新手,我们需要学习很多东西,包括这个。谢谢!
答案 0 :(得分:1)
您可以尝试使用以下代码:
Warning: StandardWrapperValve[jsp]: Servlet.service() for servlet jsp threw exception
java.lang.IllegalArgumentException: Cannot format given Object as a Date
at java.text.DateFormat.format(DateFormat.java:310)
at java.text.Format.format(Format.java:157)
at myweb.tool.SetDate.format(SetDate.java:35)
以下是参考文档link.
希望有所帮助
答案 1 :(得分:1)
来自Tay B在https://stackoverflow.com/a/38619425/3176550
的回答import boto3
dynamodb = boto3.resource('dynamodb',
aws_session_token=aws_session_token,
aws_access_key_id=aws_access_key_id,
aws_secret_access_key=aws_secret_access_key,
region_name=region
)
table = dynamodb.Table('widgetsTableName')
response = table.scan()
data = response['Items']
while 'LastEvaluatedKey' in response:
response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
data.update(response['Items'])
答案 2 :(得分:0)
经过一小时的搜索,我终于找到了更好的解决方案。对于那些刚接触DynamoDB的人,我们应该错过这个 - http://docs.aws.amazon.com/amazondynamodb/latest/gettingstartedguide/GettingStarted.Python.04.html
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):
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', endpoint_url="http://localhost:8000")
table = dynamodb.Table('Movies')
fe = Key('year').between(1950, 1959)
pe = "#yr, title, info.rating"
# Expression Attribute Names for Projection Expression only.
ean = { "#yr": "year", }
esk = None
response = table.scan(
FilterExpression=fe,
ProjectionExpression=pe,
ExpressionAttributeNames=ean
)
for i in response['Items']:
print(json.dumps(i, cls=DecimalEncoder))
// As long as LastEvaluatedKey is in response it means there are still items from the query related to the data
while 'LastEvaluatedKey' in response:
response = table.scan(
ProjectionExpression=pe,
FilterExpression=fe,
ExpressionAttributeNames= ean,
ExclusiveStartKey=response['LastEvaluatedKey']
)
for i in response['Items']:
print(json.dumps(i, cls=DecimalEncoder))
答案 3 :(得分:0)
有点冗长,但我喜欢。
def fetch_from_table(last_key=None):
if last_key:
response = table.query(
IndexName='advertCatalogIdx',
KeyConditionExpression=Key('sk').eq('CATALOG'),
Limit=5,
ExclusiveStartKey=last_key
)
else:
response = table.query(
IndexName='advertCatalogIdx',
KeyConditionExpression=Key('sk').eq('CATALOG'),
Limit=5
)
# print(response)
for item in response['Items']:
print(item['address'])
print('***************************')
return response.get('LastEvaluatedKey')
last_key = fetch_from_table()
while last_key != None:
print("Running again : ")
last_key = fetch_from_table(last_key)
答案 4 :(得分:0)
clientY