2020 年 4 月April 2020

2020年4月發行了這些功能和 Azure Databricks 平臺改進。These features and Azure Databricks platform improvements were released in April 2020.

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.

每個 Azure Databricks 工作區的唯一 URLUnique URLs for each Azure Databricks workspace

2020 年 4 月 28 日April 28, 2020

Azure Databricks 為每個工作區新增了唯一的唯一 URL。Azure Databricks has added a new unique URL for each workspace. 這個新的每個工作區 URL 都有格式 adb-<workspaceId>.<random number>.azuredatabricks.netThis new per-workspace URL has the format adb-<workspaceId>.<random number>.azuredatabricks.net. 此 URL 會與現有的區域 Url 互補 (<region>.azuredatabricks.net) 您現在已用來存取工作區。This URL is complementary to the existing regional URLs (<region>.azuredatabricks.net) that you have used up to now to access your workspaces. 這兩個 URL 會繼續受到支援。Both URLs continue to be supported. 不過,我們強烈建議您使用新的每個工作區 URL,因為它與區域無關。We do, however, strongly recommend that you use the new per-workspace URL, because it is region independent.

如果您現有的腳本或自動化工具使用舊的區域 Url,建議您變更腳本,以使用新的每個工作區 Url。If you have existing scripts or automation tools that use the old regional URLs, we recommend that you change your scripts to use the new per-workspace URLs. 我們也建議您在任何未來的腳本或自動化工具中使用每個工作區 URL。We also recommend that you use the per-workspace URL in any future scripts or automation tools. 不過,由於 Azure Databricks 會繼續支援現有的區域 Url,因此在新的 URL 推出之後,現有的程式碼仍會繼續運作。However, because Azure Databricks continues to support the existing regional URLs, existing code will continue to work after the new URL rollout.

如需詳細資訊,請參閱 每個工作區 urlFor details, see Per-workspace URLs.

MLflow 追蹤 UI 增強功能MLflow tracking UI enhancement

23-30 年4月,2020:版本3.18April 23-30, 2020: Version 3.18

MLflow UI 現在提供一個選項,可在您刪除根執行時刪除子執行。The MLflow UI now offers an option to delete child runs when you delete a root run.

筆記本可用性改進Notebook usability improvements

23-30 年4月,2020:版本3.18April 23-30, 2020: Version 3.18

此版本在使用筆記本時,會帶來幾項可用性改進:This release brings several usability improvements when working with notebooks:

  • 您現在可以使用 + 上一個和下一個資料格的 向上向下 移動,來選取連續的筆記本儲存格。You can now select adjacent notebook cells using Shift + Up or Down for the previous and next cell respectively. 您可以複製、剪下、刪除和貼上多重選取的資料格。Multi-selected cells can be copied, cut, deleted, and pasted.
  • 當您刪除資料格時,預設會顯示 [刪除確認] 對話方塊。When you delete a cell, by default a delete confirmation dialog displays. 您現在可以在刪除資料格時停用確認對話方塊,方法是選取 [ 不要再顯示 ] 核取方塊,然後按一下 [ 確認]。You can now disable the confirmation dialog when you delete the cell by selecting the Do not show this again checkbox and clicking Confirm. 您也可以切換確認對話方塊,並在帳戶圖示中開啟 命令刪除確認 選項  > 使用者設定 > 筆記本設定You can also toggle the confirmation dialog with the Turn on command delete confirmation option in Account Icon > User Settings > Notebook Settings.

使用 Azure Active Directory 權杖來授權給 Databricks REST API (公開預覽)Use Azure Active Directory tokens to authorize to the Databricks REST API (Public Preview)

23-30 年4月,2020:版本3.18April 23-30, 2020: Version 3.18

您現在可以使用 Azure Active Directory 的權杖來授權 Databricks REST API 2.0You can now use Azure Active Directory tokens to authorize to the Databricks REST API 2.0. Azure Active Directory 權杖可讓您自動建立及設定新的工作區。Azure Active Directory tokens enable you to automate the creation and setup of new workspaces. 服務主體是 Azure Active Directory 中的應用程式物件。Service principals are application objects in Azure Active Directory. 您也可以使用 Azure Databricks 工作區內的服務主體,將工作流程自動化。You can also use service principals within your Azure Databricks workspaces to automate workflows.

如需詳細資訊,請參閱 使用 Azure Active Directory 權杖進行驗證For details, see Authenticate using Azure Active Directory tokens.

單一使用者可以在傳遞叢集上檢視 Apache Spark 記錄Single user can view the Apache Spark logs on a passthrough cluster

23-30 年4月,2020:版本3.18April 23-30, 2020: Version 3.18

先前,標準模式叢集上的認證傳遞不允許單一使用者在不是系統管理員使用者的情況下,查看 Apache Spark 的記錄。Previously, credential passthrough on a Standard mode cluster did not allow a single user to view the Apache Spark logs if they were not an admin user. 現在,具有 attach 許可權的單一使用者可以看到 Spark 記錄,即使它們不是系統管理員也一樣。Now a single user with attach permission can view Spark logs even if they are not an admin.

Databricks Connect 現在支援 Databricks Runtime 6.5Databricks Connect now supports Databricks Runtime 6.5

2020年4月20日April 20, 2020

Databricks Connect 現在支援 Databricks Runtime 6.5。Databricks Connect now supports Databricks Runtime 6.5.

Databricks Runtime 6.1 和 6.1 ML 支援結束Databricks Runtime 6.1 and 6.1 ML support ends

2020年4月16日April 16, 2020

Machine Learning 于4月16日結束 Databricks Runtime 6.1 和 Databricks Runtime 6.1 的支援。Support for Databricks Runtime 6.1 and Databricks Runtime 6.1 for Machine Learning ended on April 16. 請參閱 Databricks 執行時間支援生命週期See Databricks runtime support lifecycle.

Databricks Runtime 6.5 GADatabricks Runtime 6.5 GA

2020 年 4 月 14 日April 14, 2020

Databricks Runtime 6.5 帶來許多程式庫升級和新功能,包括:Databricks Runtime 6.5 brings many library upgrades and new features, including:

  • Delta 資料表上所有寫入、更新和刪除作業的度量現在會出現在資料表歷程記錄中Operation metrics for all writes, updates, and deletes on a Delta table now appear in table history
  • 您可以對 Delta Lake 串流微批次中處理的資料進行速率限制You can rate-limit the data processed in Delta Lake streaming micro-batches
  • 雪花連接器已更新為2.5。9Snowflake connector is updated to 2.5.9

如需詳細資訊,請參閱完整的 Databricks Runtime 6.5 (不支援的) 版本資訊。For more information, see the complete Databricks Runtime 6.5 (Unsupported) release notes.

適用於 Machine Learning GA 的 Databricks Runtime 6.5Databricks Runtime 6.5 for Machine Learning GA

2020 年 4 月 14 日April 14, 2020

Databricks Runtime 6.5 ML 帶來下列程式庫升級:Databricks Runtime 6.5 ML brings the following library upgrade:

  • MLflow 從1.5.0 升級到1.7。0MLflow upgraded from 1.5.0 to 1.7.0

如需詳細資訊,請參閱 Machine Learning (不支援的完整 Databricks Runtime 6.5) 版本資訊。For more information, see the complete Databricks Runtime 6.5 for Machine Learning (Unsupported) release notes.

適用於 Genomics GA 的 Databricks Runtime 6.5Databricks Runtime 6.5 for Genomics GA

2020 年 4 月 14 日April 14, 2020

Genomics 的 Databricks Runtime 6.5 是以 Databricks Runtime 6.5 為基礎。Databricks Runtime 6.5 for Genomics is built on top of Databricks Runtime 6.5. 如需此版本中包含的增強功能和程式庫的詳細資訊,請參閱 Genomics 的完整 Databricks Runtime 6.5 (不支援的) 版本資訊。For details about the improvements and libraries included in this release, see the complete Databricks Runtime 6.5 for Genomics (Unsupported) release notes.

Databricks Runtime 6.0 和 6.0 ML 支援結束Databricks Runtime 6.0 and 6.0 ML support ends

2020 年 4 月 1 日April 1, 2020

6.0 年4月1日結束 Databricks Runtime 6.0 和 Databricks Runtime Machine Learning 的支援。Support for Databricks Runtime 6.0 and Databricks Runtime 6.0 for Machine Learning ended on April 1. 請參閱 Databricks 執行時間支援生命週期See Databricks runtime support lifecycle.