2020 年 3 月March 2020

这些功能和 Azure Databricks 平台的改进已于2020年3月发布。These features and Azure Databricks platform improvements were released in March 2020.

备注

发布。Releases are staged. 在首次发布日期之后的一个星期内,你的 Azure Databricks 帐户可能不会更新。Your Azure Databricks account may not be updated until up to a week after the initial release date.

托管 MLflow 模型注册表合作中心已可供使用(公共预览版)Managed MLflow Model Registry collaborative hub available (Public Preview)

26-31 年3月,2020:版本3.16March 26-31, 2020: Version 3.16

MLflow 模型注册表是一个协作中心,团队可以在其中共享机器学习模型,将试验与过渡和生产结合使用,将模型与审批和管理工作流相集成,以及跟踪模型部署。MLflow Model Registry is a collaborative hub where teams can share machine learning models, work together from experimentation to staging and production, integrate models with approval and governance workflows, and track model deployments. 托管 MLflow 模型注册表现在可供所有 Azure Databricks 客户公共预览版使用。The managed MLflow Model Registry is now available for Public Preview to all Azure Databricks customers. 请参阅 Azure Databricks 上的 MLflow Model RegistrySee MLflow Model Registry on Azure Databricks.

工作区、池和群集标记将传播到 DBU 使用情况详细信息和 Azure VM,以便改进成本管理报告Workspace, pool, and cluster tags propagate to DBU usage details and Azure VMs for better cost management reporting

2020 年 3 月 26 日March 26, 2020

从3月26日开始,我们将推出标记传播到 Azure Databricks 使用情况详细信息和 Azure Vm。Starting March 26, we will roll out tag propagation to Azure Databricks usage details and Azure VMs. 新的标记传播功能将 Azure Databricks 工作区标记组合在一起 (即资源组标记) 、池标记和群集标记,并将它们作为资源标记传播到 Databricks DBU 使用情况详细信息和 Azure Vm。The new tag propagation feature combines Azure Databricks workspace tags (that is, resource group tags), pool tags, and cluster tags and propagates them to the Databricks DBU usage details and Azure VMs as resource tags. 你将能够在 Azure 成本管理门户和使用情况详细信息导出中查看组合标记信息,从而更好地了解 Azure Databricks 使用情况以及对业务单元和团队的准确归属。You will be able to see the combined tag information in the Azure Cost Management portal and in usage detail exports, giving you better visibility into Azure Databricks usage and accurate attribution to business units and teams. 请参阅 使用群集、池和工作区标记监视使用情况See Monitor usage using cluster, pool, and workspace tags.

Databricks Runtime 7.0(Beta 版本)提供 Apache Spark 3.0 预览版Databricks Runtime 7.0 (Beta) previews Apache Spark 3.0

2020年3月22日March 22, 2020

Databricks Runtime 7.0 (Beta) 提供 Apache Spark 3.0 的预览,Scala 2.12。Databricks Runtime 7.0 (Beta) provides a preview of Apache Spark 3.0, with Scala 2.12. 请尝试使用非生产工作负荷,并向我们提供反馈。Please try it out using non-production workloads and give us your feedback.

有关详细信息,请参阅完整的 Databricks Runtime 7.0 发行说明。For more information, see the complete Databricks Runtime 7.0 release notes.

Databricks Runtime 6.5 ML(Beta 版本)Databricks Runtime 6.5 ML (Beta)

2020年3月20日March 20, 2020

Databricks Runtime 6.5 ML (Beta) 引入了以下库升级:Databricks Runtime 6.5 ML (Beta) brings the following library upgrade:

  • 从1.5.0 升级到1.7.0 的 MLflowMLflow upgraded from 1.5.0 to 1.7.0

有关详细信息,请参阅完整的 Databricks Runtime 6.5 ML (不支持的) 发行说明。For more information, see the complete Databricks Runtime 6.5 ML (Unsupported) release notes.

Databricks Runtime 6.5(Beta 版本)Databricks Runtime 6.5 (Beta)

2020年3月20日March 20, 2020

Databricks Runtime 6.5 (Beta) 提供了许多库升级和新功能,其中包括:Databricks Runtime 6.5 (Beta) brings many library upgrades and new features, including:

  • 增量表中所有写入、更新和删除操作的操作指标现在显示在表历史记录中Operation metrics for all writes, updates, and deletes on a Delta table now appear in table history
  • 你可以对增量 Lake 流式处理微批处理中处理的数据进行速率限制You can rate-limit the data processed in Delta Lake streaming micro-batches
  • 雪花连接器已更新为2.5。9Snowflake connector is updated to 2.5.9

有关详细信息,请参阅完整的 Databricks Runtime 6.5 (不支持的) 发行说明。For more information, see the complete Databricks Runtime 6.5 (Unsupported) release notes.

Azure Databricks 反馈现在直接进入 Azure Databricks 反馈门户Azure Databricks feedback now goes directly to Azure Databricks feedback portal

10-17 年3月,2020:版本3.15March 10-17, 2020: Version 3.15

" > 反馈 " 菜单下的链接现在指向 Azure Databricks 反馈门户The link under the ? > Feedback menu now points to the Azure Databricks feedback portal.

在 RStudio Server 中开发和测试 Shiny 应用程序Develop and test Shiny applications inside RStudio Server

10-17 年3月,2020:版本3.15March 10-17, 2020: Version 3.15

你现在可以在 Azure Databricks 中托管的 RStudio Server 内开发和测试有 光泽 的应用程序。You can now develop and test Shiny applications inside RStudio Server hosted in Azure Databricks. 请参阅 Azure Databricks 上的发亮See Shiny on Azure Databricks.

更改笔记本的默认语言Change the default language of a notebook

10-17 年3月,2020:版本3.15March 10-17, 2020: Version 3.15

你现在可以更改笔记本的 默认语言You can now change the default language of a notebook.

Databricks Connect 现在支持 Databricks Runtime 6.4Databricks Connect now supports Databricks Runtime 6.4

2020年3月6日March 6, 2020

Databricks Connect 现在支持 Databricks Runtime 6.4。Databricks Connect now supports Databricks Runtime 6.4.

Databricks Connect 现在支持 Databricks Runtime 6.3Databricks Connect now supports Databricks Runtime 6.3

2020 年 3 月 3 日March 3, 2020

Databricks Connect 现在支持 Databricks Runtime 6.3。Databricks Connect now supports Databricks Runtime 6.3.