Question

追溯(最后一项来自青the的产出):

File "batchpy.py", line 61, in <module>
obj.batch_w1()
File "batchpy.py", line 49, in batch_w1
batch.put_item(data=item)
File "/usr/local/lib/python2.7/dist-packages/boto/dynamodb2/table.py",   line 1641, in __exit__
self.resend_unprocessed()
File "/usr/local/lib/python2.7/dist-packages/boto/dynamodb2/table.py", line 1718, in resend_unprocessed
resp = self.table.connection.batch_write_item(batch_data)
File "/usr/local/lib/python2.7/dist-packages/boto/dynamodb2/layer1.py", line 420, in batch_write_item
body=json.dumps(params))
File "/usr/local/lib/python2.7/dist-packages/boto/dynamodb2/layer1.py", line 2842, in make_request
retry_handler=self._retry_handler)
File "/usr/local/lib/python2.7/dist-packages/boto/connection.py", line 954, in _mexe
status = retry_handler(response, i, next_sleep)
File "/usr/local/lib/python2.7/dist-packages/boto/dynamodb2/layer1.py", line 2876, in _retry_handler
response.status, response.reason, data)
boto.dynamodb2.exceptions.ProvisionedThroughputExceededException:    ProvisionedThroughputExceededException: 400 Bad Request
{u message : u The level of configured provisioned throughput for the table was exceeded. Consider increasing your provisioning level with the UpdateTable API , u __type : u com.amazonaws.dynamodb.v20120810#ProvisionedThroughputExceededException }

Answer 1

解决这一问题的途径很少:

提高产出水平(为此,你必须支付更多费用)。
在申请一级执行。例如,叫DynamoDB检查例外。如果超额投入,就睡了几秒钟,再次打上同样的问候(这是我们所言的。)

Edit:

DynamoDB has added one more feature for On-Demand capacity. In this, we don t have to define any specific capacity for our table as DynamodB itself will perform auto-scaling for us.

Answer 2

DynamoDB对文字和文字都采用了一种提供的产出模型。这意味着,如果你试图做比你分配给桌子的更多的读写,那么你的申请将出现错误。

AWS已经做了一些工作,帮助:

The AWS SDK clients will automatically retry the request several times before you see a ProvisionedThroughputExceededException
Up to five minutes of unused capacity can be consumed in bursts to accommodate spikes in requests
You can increase the provisioned read/writes on a table an unlimited number of times each day (to perform more reads/writes per second)
You can decrease the provisioned throughput on a table 9 times a day (4 times in the first 4 hours, and 1 each in the rest 4 hours window) (to save money)
You can use Dynamic DynamoDB, a 3rd party app, to automatically manage scaling up and down the provisioned throughput

根据你正在制造的那类情况,你可以做几件事来处理这些错误:

Batch or long-running applications can back off and retry these requests if they occur to limit the table usage
When bulk loading or bulk reading from a table you can manually scale up the throughput and scale down after you are done
For a transactional application you can ensure you have your provisioned throughput above the level required to run the application
Use Dynamic DynamoDB or script changes to table throughput yourself

友情链接