Examples of using Dynamodb streams in English and their translations into German
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DynamoDB Streams and AWS Lambda Triggers.
To do this, you use the DynamoDB Streams Kinesis Adapter.
DynamoDB Streams enables solutions such as these, and many others.
Create an ordinary DynamoDB table, with DynamoDB Streams enabled, in an AWS region.
Using the DynamoDB Streams Kinesis Adapter to Process Stream Records.
Successful requests to DynamoDB or Amazon DynamoDB Streams during the specified time period.
You can use DynamoDB Streams to capture data modification events in DynamoDB tables.
For more information about using Lambda with stream events, see DynamoDB Streams and AWS Lambda Triggers.
Currently, DynamoDB Streams usage cannot be tagged.
To maintain some level of consistency,the design could include Amazon DynamoDB Streams and AWS Lambda to process edge updates.
All data in DynamoDB Streams is subject to a 24 hour lifetime.
This section is a walkthrough of a Javaapplication that uses the Kinesis Client Library and the DynamoDB Streams Kinesis Adapter.
A system that integrates DynamoDB Streams and AWS Lambda can provides several advantages.
If encryption at rest is a compliance/regulatory requirement,we recommend turning off DynamoDB streams for encrypted tables.
For more information, see Using the DynamoDB Streams Kinesis Adapter to Process Stream Records.
To connect to both endpoints, your application will need to instantiatetwo clients- one for DynamoDB, and one for DynamoDB Streams.
If you enable DynamoDB Streams on a table, you can associate the stream ARN with a Lambda function that you write.
The Kinesis Adapter implements the Kinesis Streams interface,so that the KCL can be used for consuming and processing records from DynamoDB Streams.
When you enable DynamoDB Streams on a table, it captures information about every modification to data items in the table.
If you perform a PutItem or UpdateItem operation that does not change any data in an item,then DynamoDB Streams will not write a stream record for that operation.
SuccessfulRequestLatency reflects activity only within DynamoDB or Amazon DynamoDB Streams, and does not take into account network latency or client-side activity.
DynamoDB Streams captures a time-ordered sequence of item-level modifications in any DynamoDB table, and stores this information in a log for up to 24 hours.
For more information about how you can use DynamoDB Streams for backup, see DynamoDB Streams and Time To Live.
The DynamoDB Streams Kinesis Adapter acts as a transparent layer between the KCL and the DynamoDB Streams endpoint, so that the code can fully leverage KCL rather than having to make low-level DynamoDB Streams calls.
You can back up, or otherwise process,items deleted by Time To Live by enabling Amazon DynamoDB Streams on the table and processing the Streams records of the expired items.
You can enable Amazon DynamoDB Streams on this table and attach a Lambda function to the streams so that as each song is downloaded, an entry is added to the table with Partition-Key=SongID and Sort-Key=DownloadID.
Setting ConsistentRead to true can be useful in table backup or replication scenarios,in conjunction with DynamoDB Streams: You first use Scan with ConsistentRead set to true, in order to obtain a consistent copy of the data in the table.
In addition to triggers, DynamoDB Streams enables powerful solutions such as data replication within and across AWS regions, materialized views of data in DynamoDB tables, data analysis using Kinesis materialized views, and much more.
If you use the DynamoDB Streams Kinesis Adapter, this is handled for you: Your application will process the shards and stream records in the correct order, and automatically handle new or expired shards, as well as shards that split while the application is running.