amazon-dynamodb-streams

Hooks for AWS DynamoDB streams

ε祈祈猫儿з 提交于 2019-12-23 03:12:12
问题 AWS DynamoDB provides streams which helps in capturing the table activity. To my understanding the flow of capturing changes in the dream is Stream ARN -> Shards -> shardIterator -> Records . In order for an application to monitor changes on a Dynamo table, it will have to keep on performing the above cycle. I was wondering if this flow can be simplified by hooks that can monitor those changes and trigger, which my application can listen to. I'm aware that there is a AWS Lambda integration

When AWS KCL processRecords is failed, how to “mark” that the records should be reprocessed?

老子叫甜甜 提交于 2019-12-13 18:08:06
问题 I'm working with AWS DynamoStream which his API is based on the AWS KCL. In cases I received records which I failed to process and I want those records to be available later to allow reprocessing of them. For instance I'm trying to save them to a remote DB and I experience network issues sometime. My questions are: Can I use the Checkpointer in some way to indicate I Didn't handled the records? Should I just avoid executing Checkpointer.checkpoint()? will it have any effect if I still use it

Does AWS Lambda process DynamoDB stream events strictly in order?

巧了我就是萌 提交于 2019-12-09 23:14:34
问题 I'm in the process of writing a Lambda function that processes items from a DynamoDB stream. I thought part of the point behind Lambda was that if I have a large burst of events, it'll spin up enough instances to get through them concurrently, rather than feeding them sequentially through a single instance. As long as two events have a different key, I am fine with them being processed out of order. However, I just read this page on Understanding Retry Behavior, which says: For stream-based

Dynamo streams on small tables consumed by multiple instances

旧时模样 提交于 2019-12-08 06:24:09
问题 I am using dynamodb to store configuration for an application, this configuration is likely to be changed a few times a day, and will be in the order of tens of rows. My application will be deployed to a number of EC2 instances. I will eventually write another application to allow management of the configuration, in the meantime configuration is managed by making changes to the table directly in the AWS console. I am trying to use dynamo streams to watch for changes to the configuration, and

Hooks for AWS DynamoDB streams

别说谁变了你拦得住时间么 提交于 2019-12-08 03:05:27
AWS DynamoDB provides streams which helps in capturing the table activity. To my understanding the flow of capturing changes in the dream is Stream ARN -> Shards -> shardIterator -> Records . In order for an application to monitor changes on a Dynamo table, it will have to keep on performing the above cycle. I was wondering if this flow can be simplified by hooks that can monitor those changes and trigger, which my application can listen to. I'm aware that there is a AWS Lambda integration which can perform the above cycle and alert, but I was wondering if it can be possible for an application

Dynamo streams on small tables consumed by multiple instances

断了今生、忘了曾经 提交于 2019-12-06 15:59:52
I am using dynamodb to store configuration for an application, this configuration is likely to be changed a few times a day, and will be in the order of tens of rows. My application will be deployed to a number of EC2 instances. I will eventually write another application to allow management of the configuration, in the meantime configuration is managed by making changes to the table directly in the AWS console. I am trying to use dynamo streams to watch for changes to the configuration, and when the application receives records to process, it simply rereads the entire dynamo table. This works

Multiple AWS Lambda functions on a Single DynamoDB Stream

删除回忆录丶 提交于 2019-12-06 04:59:22
问题 I have a Lambda function to which multiple DynamoDB streams are configured as event sources and this is a part of a bigger pipeline. While doing my checks, I found some missing data in one of the downstream components. I want to write a simpler Lambda function which is configured as an event source to one of the earlier mentioned DynamoDB streams. This would cause one of my DynamoDB streams to have two Lambda functions reading from it. I was wondering if this is OK? Are both Lamdba functions

Does AWS Lambda process DynamoDB stream events strictly in order?

雨燕双飞 提交于 2019-12-04 18:11:11
I'm in the process of writing a Lambda function that processes items from a DynamoDB stream. I thought part of the point behind Lambda was that if I have a large burst of events, it'll spin up enough instances to get through them concurrently, rather than feeding them sequentially through a single instance. As long as two events have a different key, I am fine with them being processed out of order. However, I just read this page on Understanding Retry Behavior , which says: For stream-based event sources (Amazon Kinesis Data Streams and DynamoDB streams), AWS Lambda polls your stream and

Multiple AWS Lambda functions on a Single DynamoDB Stream

╄→尐↘猪︶ㄣ 提交于 2019-12-04 09:59:22
I have a Lambda function to which multiple DynamoDB streams are configured as event sources and this is a part of a bigger pipeline. While doing my checks, I found some missing data in one of the downstream components. I want to write a simpler Lambda function which is configured as an event source to one of the earlier mentioned DynamoDB streams. This would cause one of my DynamoDB streams to have two Lambda functions reading from it. I was wondering if this is OK? Are both Lamdba functions guaranteed to receive all records placed in the stream and are there any resource (Read/Write

Difference between Kinesis Stream and DynamoDB streams

点点圈 提交于 2019-12-03 20:39:02
问题 They seem to be doing the same thing to me. Can anyone explain to me the difference? 回答1: High level difference between the two: Kinesis Streams allows you to produce and consume large volumes of data(logs, web data, etc), where DynamoDB Streams is a feature local to DynamoDB that allows you to see the granular changes to your DynamoDB table items. More details: Amazon Kinesis Streams Amazon Kinesis Streams is part of Big Data suite of services at AWS. From the developer documentation: You