---
格式版本: 2
标题: "AWS Glue 6.0 delivers 30% price reduction and Iceberg v3 support"
原文链接: "https://aws.amazon.com/cn/about-aws/whats-new/2026/08/aws-glue-6-0-price-reduction-iceberg-v3/"
发布日期: "2026-08-21"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:original_script_field"
发布时间证据: "postDateTime: 2026-08-21T16:42:00Z"
发布时间校准原因: "候选为原始脚本字段中的发布时间，与标题/URL一致，且非事件时间，可作为发布时间。"
发布时间校准置信度: "1"
发布时间候选数量: 1
发布时间严格候选数量: 0
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-22T13:05:25+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 14127
发现时间: "2026-08-22T13:01:19+08:00"
入库时间: "2026-08-22T05:05:41.878Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://aws.amazon.com/new"
匹配关键词:
  - "performance"
  - "AI"
相关厂家:
  - "AWS"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 8
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "内容为AWS Glue 6.0 ETL服务发布，涉及Spark、Iceberg等数据处理功能，与超节点/AI Rack/机柜级AI基础设施完全无关，不属项目关注范围。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-22T13:06:03+08:00"
AI主题相关性: 0
AI来源权威性: 5
AI新颖性: 2
AI技术细节: 1
AI商业部署信号: 0
AI完整性: 0
AI摘要: "AWS Glue 6.0 正式可用，带来 30% 降价，并全面支持 Apache Iceberg v3，同时将运行时升级到 Spark 4.1、Python 3.13 和 Scala 2.13。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T02:11:45.840Z"
采集批次: "2026年8月22日13点00分20秒"
采集批次ID: "20260822-130020-912"
去重键: "https://aws.amazon.com/cn/about-aws/whats-new/2026/08/aws-glue-6-0-price-reduction-iceberg-v3"
---

AWS Glue 6.0 is now generally available, delivering a 30% price reduction and introducing full support for Apache Iceberg v3, newer versions of Apache Hudi and Delta Lake, and new capabilities to improve developer productivity. AWS Glue 6.0 also upgrades runtime to Apache Spark 4.1, Python 3.13, and Scala 2.13.

With Apache Iceberg v3, AWS Glue 6.0 adds the VARIANT data type with automatic shredding for faster reads on semi-structured data, deletion vectors for high-performance row-level updates, geometry and geography data types for spatial processing, and flexible schema evolution through UNKNOWN data type and DEFAULT column values. Glue 6.0 also introduces features that boost developer productivity and performance, such as Spark Declarative Pipelines that eliminate repetitive orchestration code, Real-Time Mode streaming for sub-second latencies, and Arrow-native Python UDFs for improved PySpark performance. These capabilities help you implement large-scale ETL, recurring batch workloads, streaming analytics, and AI application development using AWS Glue.

AWS Glue 6.0 is available in all AWS Commercial, AWS GovCloud (US), and AWS China regions.

To get started, select Glue 6.0 from the version dropdown in the AWS Glue console or SageMaker Unified Studio when creating a new job, or migrate existing jobs using the [Spark Upgrade Agent](https://docs.aws.amazon.com/glue/latest/dg/upgrade-analysis.html). To learn more, visit the [AWS Glue documentation](https://docs.aws.amazon.com/glue/latest/dg/migrating-version-60.html) and [AWS Glue pricing](https://aws.amazon.com/glue/pricing/).