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Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

2026-09-09 02:29 Products & Apps 🔥 42.2 heat score
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Amazon Web Services (AWS) SageMaker Feature Store released new features on September 8, 2026, with the addition of the UpdateRecord API. This feature supports single calls to update one or more feature values without needing to read or rewrite the entire record, and is suitable for both standard (DynamoDB backend) and memory (ElastiCache backend) online storage layers. UpdateRecord can atomically merge changes and retain unmodified features, while automatically syncing the full snapshot to offline storage to ensure accurate training data. The API request requires specifying RecordIdentifierValueAsString and a list of Features (up to 100 features per call), with an optional TTL setting; if EventTime is updated, the new timestamp must be greater than the existing value otherwise the request will be rejected. This feature aims to address the read-modify-write issues caused by the traditional PutRecord mode…

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Key entitiesKEY ENTITIES
Amazon SageMaker Feature StoreDynamoDBElastiCacheUpdateRecord API

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
Amazon SageMaker Featur…1Amazon SageMaker Featur…1Amazon SageMaker Featur…1DynamoDB × ElastiCache1DynamoDB × UpdateRecord…1ElastiCache × UpdateRec…1

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Keyword heat
  • Amazon SageMaker Feature Store1
  • UpdateRecord API1
  • DynamoDB1
  • ElastiCache1

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A AWS ML Blog en 2026-09-09 02:29

Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

Amazon SageMaker Feature Store 新增 UpdateRecord API,支持单次调用更新一个或多个特征值,无需读取或重写完整记录。该功能适用于标准(DynamoDB 后端)和内存(ElastiCache 后端)在线存储层级,旨在解决传统 PutRecord 模式导致的读修改写循环、额外延迟及数据竞争问题。UpdateRecord 原子性地合并变更并保留未包含特征,同时自动将完整快照同步至离线存储以确保持训数据准确。API 请求需指定 RecordIdentifierValueAsString 和 Features 列表(单次最多 100 个特征),支持可选的 TTL 设置;若更新 EventTime,新时间戳必须大于现有值否则请求将被拒绝。