2019 年 8 月August 2019

這些功能和 Azure Databricks 平臺改進已于2019年8月發行。These features and Azure Databricks platform improvements were released in August 2019.

注意

發行是暫存的。Releases are staged. 在初始發行日期之後,您的 Azure Databricks 帳戶可能不會更新到一周。Your Azure Databricks account may not be updated until up to a week after the initial release date.

新區域:阿拉伯聯合大公國北部New region: UAE North

2019 年 8 月 27 日Aug 27, 2019

Azure Databricks 現已在阿拉伯聯合大公國北部 (杜拜) 中提供。Azure Databricks is now available in UAE North (Dubai).

已強化工作區程式庫的安裝Workspace library installation enhancement

8月27日–2019年9月3日:3.1 版Aug 27 - Sept 3, 2019: Version 3.1

系統管理員現在可以從叢集的 [連結 ] 索引標籤,在所有叢集上安裝程式庫。Admins can now install a library on all clusters from a cluster’s Libraries tab.

安裝叢集程式庫Install cluster library

如需詳細資訊,請參閱 工作區程式庫For details, see Workspace library.

叢集 UI 現在會反映更一致的「互動式」和「自動化」叢集術語Clusters UI now reflects more consistent interactive and automated cluster terminology

8月27日–2019年9月3日:3.1 版Aug 27 - Sept 3, 2019: Version 3.1

若要瞭解哪種類型的叢集 (您用於作業的自動化或互動式) ,叢集清單和作業設定叢集 UI 已更新。To clarify which type of cluster (automated or interactive) you are using for a job, the Clusters list and job Configure Cluster UI have been updated.

在 [叢集] 清單中,[ 作業 叢集] 子清單已重新命名為 [ 自動 叢集],以反映為 作業建立 的叢集會以自動化費率收費。In the Clusters list, the Job Clusters sublist has been renamed to Automated Clusters to reflect that a cluster created for a job is charged at the automated rate.

自動化叢集Automated clusters

當您設定工作的叢集時,[叢集類型] 功能表選項 [ 新增 叢集] 已重新命名為 新的自動化 叢集,而 現有 的叢集已重新命名為現有的 互動式 叢集。When you configure a cluster for a job, the Cluster Type menu option New Cluster has been renamed to New Automated Cluster and Existing Cluster has been renamed to Existing Interactive Cluster. 這些變更反映了如果您選擇新的叢集,則會以自動化費率計費,而如果您選擇現有的叢集,則會依互動費率收費。These changes reflect the fact that if you choose a new cluster it is charged at the automated rate, and if you choose an existing cluster it is charged at the interactive rate.

作業自動化叢集Job automated clusters

Databricks Runtime 5.5 和 Databricks Runtime 5.5 ML 是 LTSDatabricks Runtime 5.5 and Databricks Runtime 5.5 ML are LTS

2019 年 8 月 27 日Aug 27, 2019

Databricks Runtime 5.5 和 Databricks Runtime 5.5 ML 已識別為 (LTS) 執行時間的長期支援。Databricks Runtime 5.5 and Databricks Runtime 5.5 ML have been identified as long term support (LTS) runtimes. Azure Databricks 針對 LTS 執行時間提供兩年完整的支援。Azure Databricks provide two full years of support for LTS runtimes. 如需詳細資訊,請參閱 Databricks 執行階段版本資訊。For details, see Databricks runtime release notes.

集區的執行個體配置通知Instance allocation notifications for pools

13-20 年8月2019:版本2.104Aug 13 - 20, 2019: Version 2.104

如果集區無法配置 閒置實例的最小數目,現在就會通知您。You are now informed if a pool fails to allocate the minimum number of idle instances. [集區詳細資料和統計資料] 頁面會顯示錯誤訊息,指出失敗實例的數目。The pool details and statistics page displays an error message stating the number of failed instances. 您可以按一下錯誤訊息,以查看每個暫止實例失敗的詳細資料。You can click the error message to view details about each pending instance failure.

新增叢集事件New cluster events

13-20 年8月2019:版本2.104Aug 13 - 20, 2019: Version 2.104

叢集事件現在會在叢集已 選或取消固定時產生。Cluster events are now generated whenever a cluster is pinned or unpinned.

請參閱 ClusterEventTypeSee ClusterEventType.

MLflow 更新MLflow updates

13-20 年8月2019:版本2.104Aug 13 - 20, 2019: Version 2.104

筆記本中的 [執行] 提要欄位現在支援依度量或參數排序執行。The Runs sidebar in notebooks now supports sorting the runs by metric or parameter.

MLflow 1.2 已于2019年8月12日發行。MLflow 1.2 was released on Aug 12, 2019. 如需詳細資訊,請參閱 MLflow 1.2 變更記錄For details, see the MLflow 1.2 Changelog.