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DynamoDB Applied Design Patterns.
DynamoDB provides fast and predictable performance with seamless scalability. If you are a developer, you can use DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. As a database administrator, you can create and scale up or do...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2014.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Modeling with DynamoDB; Data model; Efficient use of primary keys; Basics of indexes; Default or primary indexes; Secondary indexes; DynamoDB data types; Summary; Chapter 2: DynamoDB Interfaces; The management console; Managing the DynamoDB table; Managing DynamoDB table items; The Eclipse plugin; The command-line interface; Summary; Chapter 3: Tools and Libraries of AWS DynamoDB; Creating your first SDK project; Java SDK operations; DynamoDB Local; Summary.
- Chapter 4: Working with Secondary IndexesSecondary indexes; Projection; Local secondary index; Global secondary index; Item sharding; Ideal item writing; Best practices with secondary indexes; Distributing the load by choosing the correct key; Making use of the sparse index; Using the global secondary index for quicker retrieval; Creating a read replica; Using indexes sparingly; Choosing projections carefully; Optimizing frequent queries to avoid fetches; Watching for expanding item collections; Summary; Chapter 5: Query and Scan Operations in DynamoDB; Querying tables; Consistency.
- Exclusive start keyScanning tables; Parallel scanning; Summary; Chapter 6: Working with the DynamoDB API; Data format; HTTP requests; Request header; Request body; Response header; Error handling; Client-side error with status code 400
- retry not needed; AccessDeniedException; ConditionalCheckFailedException; IncompleteSignatureException; LimitExceededException; MissingAuthenticationTokenException; ResourceInUseException; ResourceNotFoundException; ValidationException; Client-side error with status code 400
- retry possible; ProvisionedThroughputExceededException.
- ItemCollectionSizeLimitExceededExceptionThrottlingException; UnrecognizedClientException; Client-side error with status code 413; Server-side error with status code 500; InternalFailure and InternalServerError; ServiceUnavailableException; Error retry and exponential back off; Operations in DynamoDB; CreateTable; PutItem; UpdateItem; GetItem; Query; Scan; DeleteItem; DescribeTable; UpdateTable; DeleteTable; ListTables; BatchGetItem; BatchWriteItem; Summary; Chapter 7: Distributed Locking with DynamoDB; Distributed locking; Solutions available to solve distributed writes; Java high-level API.
- Optimistic lockingImportance of distributed locking; Summary; Chapter 8: DynamoDB with Redshift, Data Pipeline, and MapReduce; Loading data from DynamoDB into Redshift; Importing and exporting data between DynamoDB and S3; Creating Data Pipeline; Exporting, importing, querying, and joining tables using AWS MapReduce; Exporting data from DynamoDB to S3; Exporting the DynamoDB table to HDFS; Importing data to DynamoDB; Querying data in DynamoDB; Joining two DynamoDB tables; Summary; Chapter 9: DynamoDB
- Best Practices; DynamoDB use cases; Schema-less-ISH; Batch applications.