平台版本資訊Platform release notes
- 2021 年 1 月January 2021
- 2020 年 12 月December 2020
- Databricks Runtime 7.5 GADatabricks Runtime 7.5 GA
- 作業 API 現在支援更新現有的作業Jobs API now supports updating existing jobs
- 新的全域 init 指令碼架構為 GANew global init script framework is GA
- Databricks Runtime 7.5 (Beta)Databricks Runtime 7.5 (Beta)
- 作業 API end_time 欄位現在會使用 epoch 時間Jobs API end_time field now uses epoch time
- 使用新的視覺化瀏覽器尋找 DBFS 檔案Find DBFS files using new visual browser
- 依預設，現在可在新的工作區上啟用作業、叢集、筆記本和其他工作區物件的可見度控制項Visibility controls for jobs, clusters, notebooks, and other workspace objects are now enabled by default on new workspaces
- 已改善 MLflow 中的巢狀執行顯示Improved display of nested runs in MLflow
- 系統管理員現在可以鎖定使用者帳戶 (公開預覽)Admins can now lock user accounts (Public Preview)
- 更新的 NVIDIA 驅動程式Updated NVIDIA driver
- 2020 年 11 月November 2020
- Databricks Runtime 6.6 系列支援結束Databricks Runtime 6.6 series support ends
- MLflow 模型登錄 GAMLflow Model Registry GA
- 根據已註冊的模型是否相關聯來篩選實驗執行Filter experiment runs based on whether a registered model is associated
- 現在可透過 [資料] 索引標籤取得合作夥伴整合資源庫Partner integrations gallery now available through the Data tab
- 叢集原則現在會使用 允許清單 和 封鎖清單 作為原則類型名稱Cluster policies now use allowlist and blocklist as policy type names
- 建立作業叢集失敗時自動重試Automatic retries when the creation of a job cluster fails
- 使用目錄來瀏覽筆記本Navigate notebooks using the table of contents
- SQL 分析 (公開預覽)SQL Analytics (Public Preview)
- 單一節點叢集現在支援 Databricks 容器服務Single Node clusters now support Databricks Container Services
- Databricks Runtime 7.4 GADatabricks Runtime 7.4 GA
- Databricks JDBC 驅動程式更新Databricks JDBC driver update
- Databricks Connect 7.3 (Beta)Databricks Connect 7.3 (Beta)
- 2020 年 10 月October 2020
- 線上 Power BI 服務提供新的 Azure Databricks Power BI 連接器 (公開預覽)New Azure Databricks Power BI connector available in the online Power BI service (Public Preview)
- Databricks Runtime 7.4 (Beta)Databricks Runtime 7.4 (Beta)
- 使用 DBFS 根 (GA) 的客戶自控金鑰Use customer-managed keys for DBFS root (GA)
- 擴充的實驗存取控制 (ACL)Expanded experiment access control (ACLs)
- Jupyter 筆記本 (ipynb) 檔案的高精確度匯入和匯出High fidelity import and export of Jupyter notebook (ipynb) files
- SCIM API 改進：使用者記錄回應中所傳回的間接和直接群組SCIM API improvement: both indirect and direct groups returned in user record response
- Azure 要求識別碼現已包含在例外狀況中Azure request ID is now included in exceptions
- Databricks Runtime 6.5 系列支援結束Databricks Runtime 6.5 series support ends
- 安全的叢集連線能力 (沒有公用 IP) 已公開預覽Secure cluster connectivity (no public IPs) is Public Preview
- SCIM API 改進：
$ref欄位回應SCIM API improvement:$reffield response - 診斷 (稽核) 記錄現已提供低延遲Diagnostic (audit) logs are now delivered with low latency
- Databricks Runtime 7.3、7.3 ML 和 7.3 Genomics 宣告的長期支援 (LTS)Databricks Runtime 7.3, 7.3 ML, and 7.3 Genomics declared Long Term Support (LTS)
- 使用 matplotlib 以較高的解析度呈現映像Render images at higher resolution using matplotlib
- 使用 Databricks CLI 或 Databricks API 來建立 Azure Key Vault 支援的秘密範圍Use the Databricks CLI or the Databricks API to create Azure Key Vault backed secret scopes
- 使用 Azure AD 權杖向 Databricks CLI 進行驗證Use Azure AD tokens to authenticate to the Databricks CLI
- 新的 Azure 區域 (公開預覽)New Azure regions (Public Preview)
- 2020 年 9 月September 2020
- Databricks Runtime 7.3、7.3 ML 和 7.3 Genomics 現已正式發行Databricks Runtime 7.3, 7.3 ML, and 7.3 Genomics are now GA
- 單一節點叢集 (公開預覽)Single Node clusters (Public Preview)
- DBFS REST API 速率限制DBFS REST API rate limiting
- 新增資訊看板圖示New sidebar icons
- 執行中的作業限制增加Running jobs limit increase
- MLflow 中的成品存取控制清單 (ACL)Artifact access control lists (ACLs) in MLflow
- MLflow 使用性增強功能MLflow usability improvements
- 新的 Azure Databricks Power BI 連接器 (公開預覽)New Azure Databricks Power BI connector (Public Preview)
- 針對 DBFS 根使用客戶自控金鑰 (公開預覽)Use customer-managed keys for DBFS root (Public Preview)
- 新的 JDBC 和 ODBC 驅動程式帶來更快速且更低的延遲 BINew JDBC and ODBC drivers bring faster and lower latency BI
- MLflow 模型服務 (公開預覽)MLflow Model Serving (Public Preview)
- 叢集 UI 改進功能Clusters UI improvements
- 作業、叢集、筆記本和其他工作區物件的可見度控制項Visibility controls for jobs, clusters, notebooks, and other workspace objects
- 依預設不再允許建立權杖的功能Ability to create tokens no longer permitted by default
- MLflow 模型登錄支援跨工作區的共用模型MLflow Model Registry supports sharing of models across workspaces
- Databricks Runtime 7.3 (Beta)Databricks Runtime 7.3 (Beta)
- Azure Databricks 工作負載類型名稱變更Azure Databricks workload type name change
- 2020 年 8 月August 2020
- 權杖管理 API 是 GA，而系統管理員可以使用管理主控台來授與及撤銷使用者對權杖的存取權Token Management API is GA and admins can use the Admin Console to grant and revoke user access to tokens
- 已增加 Shiny 應用程式的訊息大小限制Message size limits for Shiny apps increased
- 以本地模式設定叢集的改良指示Improved instructions for setting up a cluster in local mode
- 與執行相關聯筆記本的檢視版本View version of notebook associated with a run
- Databricks Runtime 7.2 GADatabricks Runtime 7.2 GA
- Databricks Runtime 7.2 ML GADatabricks Runtime 7.2 ML GA
- Databricks Runtime 7.2 Genomics GADatabricks Runtime 7.2 Genomics GA
- 存取權限 API (公開預覽)Permissions API (Public Preview)
- Databricks Connect 7.1 (GA)Databricks Connect 7.1 (GA)
- 叢集程式庫的可重複安裝順序Repeatable installation order for cluster libraries
- 從 MLflow 註冊的模型頁面建立模型 (公開預覽)Create model from MLflow registered models page (Public Preview)
- Databricks 容器服務支援 GPU 映像Databricks Container Services supports GPU images
- 2020 年 7 月July 2020
- Web 終端 (公開預覽)Web terminal (Public Preview)
- 新的、更安全的全域 init 指令碼架構 (公開預覽)New, more secure global init script framework (Public Preview)
- IP 存取清單現在為 GAIP access lists now GA
- 新的檔案上傳對話方塊New file upload dialog
- SCIM API 篩選和排序改善SCIM API filter and sort improvements
- 已新增 Azure Government 區域Azure Government regions added
- Databricks Runtime 7.1 GADatabricks Runtime 7.1 GA
- Databricks Runtime 7.1 ML GADatabricks Runtime 7.1 ML GA
- Databricks Runtime 7.1 Genomics GADatabricks Runtime 7.1 Genomics GA
- Databricks Connect 7.1 (公開預覽)Databricks Connect 7.1 (Public Preview)
- IP 存取清單 API 更新IP Access List API updates
- Python 筆記本現在支援每個資料格有多個輸出Python notebooks now support multiple outputs per cell
- 並排檢視筆記本程式碼和結果資料格View notebook code and results cells side by side
- 暫停作業排程Pause job schedules
- 作業 API 端點驗證執行識別碼Jobs API endpoints validate run ID
- 使用 Azure Active Directory 權杖來授權給 Databricks REST API GAAzure Active Directory tokens to authorize to the Databricks REST API GA
- 自動格式化筆記本中的 SQLFormat SQL in notebooks automatically
- Maven 和 CRAN 程式庫安裝的可重現順序Reproducible order of installation for Maven and CRAN libraries
- 利用權杖管理 API (公開預覽) 來控制使用者的個人存取權杖Take control of your users’ personal access tokens with the Token Management API (Public Preview)
- 還原剪下的筆記本資料格Restore cut notebook cells
- 指派工作 可以管理非系統管理員使用者的 許可權Assign jobs Can Manage permission to non-admin users
- 非系統管理員 Azure Databricks 使用者可以使用 SCIM API 來檢視並依使用者名稱篩選Non-admin Azure Databricks users can view and filter by username using the SCIM API
- 當您檢視作業執行詳細資料時，檢視叢集規格的連結Link to view cluster specification when you view job run details
- 2020 年 6 月June 2020
- Databricks Connect 現在支援 Databricks Runtime 6.6Databricks Connect now supports Databricks Runtime 6.6
- Databricks Runtime 7.0 ML GADatabricks Runtime 7.0 ML GA
- Databricks Runtime 7.0 GA，由 Apache Spark 3.0 提供技術支援Databricks Runtime 7.0 GA, powered by Apache Spark 3.0
- 適用於 Genomics GA 的 Databricks Runtime 7.0Databricks Runtime 7.0 for Genomics GA
- MLflow 模型的階段相依存取控制Stage-dependent access controls for MLflow models
- 筆記本現在支援停用自動滾動Notebooks now support disabling auto-scroll
- 中繼存放區要在 2020 年 6 月 30 日變更的 IP 位址Metastore IP addresses to change on June 30, 2020
- Internet Explorer 11 支援將於 8 月 15 日結束Internet Explorer 11 support ends on August 15
- Databricks Runtime 6.2 系列支援結束Databricks Runtime 6.2 series support ends
- 使用叢集原則來簡化及控制叢集建立 (公開預覽)Simplify and control cluster creation using cluster policies (Public Preview)
- SCIM Me 端點現在會傳回符合 SCIM 規範的回應SCIM Me endpoint now returns SCIM compliant response
- 使用 IP 存取清單來限制 Azure Databricks 的存取 (公開預覽)Restrict access to Azure Databricks using IP access lists (Public Preview)
- 2020 年 5 月May 2020
- Easv4 系列 VM (搶鮮版(Beta)Easv4-series VMs (Beta)
- 適用於 Genomics GA 的 Databricks Runtime 6.6Databricks Runtime 6.6 for Genomics GA
- Databricks Runtime 6.6 ML GADatabricks Runtime 6.6 ML GA
- Databricks Runtime 6.6 GADatabricks Runtime 6.6 GA
- DBFS REST API 刪除端點大小限制DBFS REST API delete endpoint size limit
- 輕鬆地查看大量 MLflow 註冊的模型Easily view large numbers of MLflow registered models
- 設定為要安裝在所有叢集上的程式庫，不會安裝在執行 Databricks Runtime 7.0 和更新版本的叢集上Libraries configured to be installed on all clusters are not installed on clusters running Databricks Runtime 7.0 and above
- 適用於 Genomics 的 Databricks Runtime 7.0 (Beta)Databricks Runtime 7.0 for Genomics (Beta)
- Databricks Runtime 7.0 ML (Beta)Databricks Runtime 7.0 ML (Beta)
- 適用於 Genomics 的 Databricks Runtime 6.6 (Beta)Databricks Runtime 6.6 for Genomics (Beta)
- Databricks Runtime 6.6 ML (Beta)Databricks Runtime 6.6 ML (Beta)
- Databricks Runtime 6.6 (Beta)Databricks Runtime 6.6 (Beta)
- 作業叢集現在已加上作業名稱和識別碼的標籤Job clusters now tagged with job name and ID
- 還原已刪除的筆記本資料格Restore deleted notebook cells
- 擱置佇列作業的限制Jobs pending queue limit
- 2020 年 4 月April 2020
- 每個 Azure Databricks 工作區的唯一 URLUnique URLs for each Azure Databricks workspace
- MLflow 追蹤 UI 增強功能MLflow tracking UI enhancement
- 筆記本可用性改進Notebook usability improvements
- 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)
- 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
- Databricks Connect 現在支援 Databricks Runtime 6.5Databricks 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
- Databricks Runtime 6.5 GADatabricks Runtime 6.5 GA
- 適用於 Machine Learning GA 的 Databricks Runtime 6.5Databricks Runtime 6.5 for Machine Learning GA
- 適用於 Genomics GA 的 Databricks Runtime 6.5Databricks Runtime 6.5 for Genomics GA
- Databricks Runtime 6.0 和 6.0 ML 支援結束Databricks Runtime 6.0 and 6.0 ML support ends
- 2020 年 3 月March 2020
- 受控 MLflow 模型登錄共同作業中樞可供使用 (公開預覽)Managed MLflow Model Registry collaborative hub available (Public Preview)
- 工作區、集區和叢集標記會傳播至 DBU 使用量詳細資料和 Azure VM，以提供更佳的成本管理報告Workspace, pool, and cluster tags propagate to DBU usage details and Azure VMs for better cost management reporting
- Databricks Runtime 7.0 (Beta) 預覽 Apache Spark 3.0Databricks Runtime 7.0 (Beta) previews Apache Spark 3.0
- Databricks Runtime 6.5 ML (Beta)Databricks Runtime 6.5 ML (Beta)
- Databricks Runtime 6.5 (Beta)Databricks Runtime 6.5 (Beta)
- Azure Databricks 意見反應現在可直接在 Azure Databricks 意見反應入口網站上找到Azure Databricks feedback now goes directly to Azure Databricks feedback portal
- 在 RStudio Server 內開發及測試 Shiny 應用程式Develop and test Shiny applications inside RStudio Server
- 變更筆記本的預設語言Change the default language of a notebook
- Databricks Connect 現在支援 Databricks Runtime 6.4Databricks Connect now supports Databricks Runtime 6.4
- Databricks Connect 現在支援 Databricks Runtime 6.3Databricks Connect now supports Databricks Runtime 6.3
- 2020 年 2 月February 2020
- 適用於 Genomics GA 的 Databricks Runtime 6.4Databricks Runtime 6.4 for Genomics GA
- Databricks Runtime 6.4 ML GADatabricks Runtime 6.4 ML GA
- Databricks Runtime 6.4 GADatabricks Runtime 6.4 GA
- 新的互動式圖表提供豐富的用戶端互動New interactive charts offer rich client-side interactions
- 新的資料內嵌網路會新增與 Delta Lake 的合作夥伴整合 (公開預覽)New data ingestion network adds partner integrations with Delta Lake (Public Preview)
- 已自動將工作區建立者新增為 Azure Databricks 系統管理員Workspace creator automatically added as an Azure Databricks admin
- 用來管理工作區安全性和筆記本功能的旗標現已開放下載Flags to manage workspace security and notebook features now available
- 2020 年 1 月January 2020
- 即將推出：工作區、集區和叢集標記會傳播至 DBU 使用量詳細資料和 Azure VM，以提供更佳的成本管理報告Coming soon: workspace, pool, and cluster tags propagate to DBU usage details and Azure VMs for better cost management reporting
- Azure Databricks 和 Azure Lighthouse 現在可以在同一個訂用帳戶中上線Azure Databricks and Azure Lighthouse can now live in the same subscription
- 適用於 Genomics GA 的 Databricks Runtime 6.3Databricks Runtime 6.3 for Genomics GA
- Databricks Runtime 6.3 ML GADatabricks Runtime 6.3 ML GA
- Databricks Runtime 6.3 GADatabricks Runtime 6.3 GA
- 預設會啟用差異快取Delta cache enabled by default
- 現在可設定叢集標準自動調整步驟Cluster standard autoscaling step is now configurable
- SCIM API 支援「取得使用者」和「取得群組」的分頁 (公開預覽)SCIM API supports pagination for Get Users and Get Groups (Public Preview)
- 檔案瀏覽器區隔線寬度已增加至 240pxFile browser swimlane widths increased to 240px
- Databricks Runtime 3.5 LTS 支援結束Databricks Runtime 3.5 LTS support ends
- 2019 年 12 月December 2019
- Databricks Connect 現在支援 Databricks Runtime 6.2Databricks Connect now supports Databricks Runtime 6.2
- 透過 Databricks 容器服務 (GA) 以您自己的容器映像設定叢集Configure clusters with your own container image using Databricks Container Services (GA)
- Databricks Runtime 6.2 for Genomics GADatabricks Runtime 6.2 for Genomics GA
- 應用程式資源庫中提供的 Azure Databricks SCIM 佈建連接器Azure Databricks SCIM provisioning connector available in the app gallery
- Databricks Runtime 5.3 和 5.4 支援結束Databricks Runtime 5.3 and 5.4 support ends
- Databricks Runtime 6.2 ML GADatabricks Runtime 6.2 ML GA
- Databricks Runtime 6.2 GADatabricks Runtime 6.2 GA
- Databricks Connect 現在支援 Databricks Runtime 6.1Databricks Connect now supports Databricks Runtime 6.1
- 2019 年 11 月November 2019
- Databricks Runtime 6.2 ML BetaDatabricks Runtime 6.2 ML Beta
- Databricks Runtime 6.2 BetaDatabricks Runtime 6.2 Beta
- 透過 Databricks 容器服務以您自己的容器映像設定叢集Configure clusters with your own container image using Databricks Container Services
- 叢集詳細資料現在只會顯示 HTTP 路徑中的叢集識別碼Cluster detail now shows only cluster ID in the HTTP path
- 由 Spark 組態屬性和環境變數參考的祕密 (公開預覽)Secrets referenced by Spark configuration properties and environment variables (Public Preview)
- 2019 年 10 月October 2019
- 已將支援能力計量移至 Azure 事件中樞Supportability metrics moved to Azure Event Hubs
- 標準叢集和 Scala 上的 Azure Data Lake Storage 認證傳遞現已正式推出Azure Data Lake Storage credential passthrough on standard clusters and Scala is GA
- 適用於 Genomics GA 的 Databricks Runtime 6.1Databricks Runtime 6.1 for Genomics GA
- 適用於 Machine Learning GA 的 Databricks Runtime 6.1Databricks Runtime 6.1 for Machine Learning GA
- MLflow API 呼叫現已受到速率限制MLflow API calls are now rate limited
- 快速叢集啟動的執行個體集區已正式推出Pools of instances for quick cluster launch generally available
- Databricks Runtime 6.1 正式推出Databricks Runtime 6.1 GA
- 適用於 Genomics GA 的 Databricks Runtime 6.0Databricks Runtime 6.0 for Genomics GA
- 將 Azure Databricks 工作區部署至您自己的虛擬網路的功能 (也稱為 VNet 插入) 已正式推出Ability to deploy a Azure Databricks workspace to your own virtual network, also known as VNet injection, is GA
- 非系統管理員的 Azure Databricks 使用者可以使用 SCIM API 來讀取使用者和群組名稱與識別碼Non-admin Azure Databricks users can read user and group names and IDs using SCIM API
- 工作區 API 會傳回筆記本和資料夾物件識別碼Workspace API returns notebook and folder object IDs
- Databricks Runtime 6.0 ML 正式推出Databricks Runtime 6.0 ML GA
- 新區域：巴西南部和法國中部New regions: Brazil South and France Central
- Databricks Runtime 6.0 正式推出Databricks Runtime 6.0 GA
- 2019 年 9 月September 2019
- Databricks Runtime 5.2 支援結束Databricks Runtime 5.2 support ends
- 啟動使用 Databricks Light 的集區支援自動化叢集 (公開預覽)Launch pool-backed automated clusters that use Databricks Light (Public Preview)
- Azure SQL Database 閘道 IP 位址會在 2019 年 10 月 14 日變更Azure SQL Database gateway IP addresses will change on October 14, 2019
- 標準叢集和 Scala 現在支援 Azure Data Lake Storage 認證傳遞 (公開預覽)Azure Data Lake Storage credential passthrough now supported on standard clusters and Scala (Public Preview)
- pandas 資料框架現在會不經調整就在筆記本中呈現pandas DataFrames now render in notebooks without scaling
- Python 版本選取器現在會動態顯示Python version selector display now dynamic
- Databricks Runtime 6.0 BetaDatabricks Runtime 6.0 Beta
- 2019 年 8 月August 2019
- 新區域：阿拉伯聯合大公國北部New region: UAE North
- 已強化工作區程式庫的安裝Workspace library installation enhancement
- 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
- Databricks Runtime 5.5 和 Databricks Runtime 5.5 ML 是 LTSDatabricks Runtime 5.5 and Databricks Runtime 5.5 ML are LTS
- 集區的執行個體配置通知Instance allocation notifications for pools
- 新增叢集事件New cluster events
- MLflow 更新MLflow updates
- 2019 年 7 月July 2019
- 即將發生：Databricks 6.0 將不再支援 Python 2Coming soon: Databricks 6.0 will not support Python 2
- 會在集區閒置執行個體上預先載入 Databricks Runtime 版本Preload the Databricks Runtime version on pool idle instances
- 自訂叢集標籤和集區標籤的配合變得更好了Custom cluster tags and pool tags play better together
- MLflow 1.1 改進了幾個 UI 和 APIMLflow 1.1 brings several UI and API improvements
- pandas 資料框架顯示的呈現方式會和 Jupyter 一樣pandas DataFrame display renders like it does in Jupyter
- 新區域New regions
- 搭配 Conda 的 Databricks Runtime 5.5 (Beta)Databricks Runtime 5.5 with Conda (Beta)
- 已更新中繼存放區連線限制Updated metastore connection limit
- 設定集區的權限 (公開預覽)Set permissions on pools (Public Preview)
- 適用於 Machine Learning 的 Databricks Runtime 5.5Databricks Runtime 5.5 for Machine Learning
- Databricks Runtime 5.5Databricks Runtime 5.5
- 在待命叢集上保留執行個體集區以快速啟動叢集 (公開預覽)Keep a pool of instances on standby for quick cluster launch (Public Preview)
- Ganglia 計量Ganglia metrics
- 全域數列色彩Global series color
- 2019 年 6 月June 2019
- Lsv2 執行個體支援已正式推出Lsv2 instance support is generally available
- RStudio 整合不再受限於高並行存取叢集RStudio integration no longer limited to high concurrency clusters
- MLflow 1.0MLflow 1.0
- 搭配 Conda 的 Databricks Runtime 5.4 (Beta)Databricks Runtime 5.4 with Conda (Beta)
- 適用於 Machine Learning 的 Databricks Runtime 5.4Databricks Runtime 5.4 for Machine Learning
- Databricks Runtime 5.4Databricks Runtime 5.4
- 2019 年 5 月May 2019
- 2019 年 4 月April 2019
- Azure Databricks 上的 MLflow (正式推出)MLflow on Azure Databricks (GA)
- Azure Databricks 上的 Delta LakeDelta Lake on Azure Databricks
- MLflow 執行提要欄位MLflow runs sidebar
- 使用 Azure AD 認證自動存取 Azure Data Lake Storage Gen1 和 Gen2 (正式推出)Access Azure Data Lake Storage Gen1 and Gen2 automatically with your Azure AD credentials (GA)
- Databricks Runtime 5.3 (正式推出)Databricks Runtime 5.3 (GA)
- Databricks Runtime 5.3 ML (正式推出)Databricks Runtime 5.3 ML (GA)
- 2019 年 3 月March 2019
- 2019 年 2 月February 2019
- Databricks Light 正式推出Databricks Light generally available
- Azure Databricks 上的受控 MLflow 已公開預覽Managed MLflow on Azure Databricks Public Preview
- Azure Data Lake Storage Gen2 連接器已正式推出Azure Data Lake Storage Gen2 connector is generally available
- Python 3 現在是您建立叢集時的預設值Python 3 now the default when you create clusters
- Delta Lake 正式推出Delta Lake generally available
- 2019 年 1 月January 2019
- 即將發生的變更：Python 3 會成為您建立叢集時的預設值Upcoming change: Python 3 to become the default when you create clusters
- 適用於 Machine Learning 的 Databricks Runtime 5.2 (Beta) 版本Databricks Runtime 5.2 for Machine Learning (Beta) release
- 叢集設定 JSON 檢視Cluster configuration JSON view
- 叢集 UICluster UI
- 在自己的 Azure 虛擬網路中部署 Azure Databricks (VNet 插入)Deploy Azure Databricks in your own Azure virtual network (VNet injection)
- 程式庫 UILibrary UI
- 叢集事件Cluster Events
- 使用 Azure DevOps Services 的筆記本版本控制Notebook Version Control using Azure DevOps Services
- 2018 年 12 月December 2018
- 適用於 Machine Learning 的 Databricks Runtime 5.1 (Beta) 版本Databricks Runtime 5.1 for Machine Learning (Beta) release
- Databricks Runtime 5.1 版本Databricks Runtime 5.1 release
- 程式庫 UILibrary UI
- 使用 Azure AD 認證自動存取 Azure Data Lake Storage Gen1Access Azure Data Lake Storage Gen1 automatically with your Azure AD credentials
- 2018 年 11 月November 2018
- 程式庫 UILibrary UI
- 已啟用自訂 Spark 堆積記憶體設定Custom Spark heap memory settings enabled
- 作業和閒置執行內容收回Jobs and idle execution context eviction
- 適用於 Machine Learning 的 Databricks Runtime 5.0 (Beta) 版本Databricks Runtime 5.0 for Machine Learning (Beta) release
- Databricks Runtime 5.0 版本Databricks Runtime 5.0 release
- 可無限制載入第三方內容的
displayHTML支援displayHTMLsupport for unrestricted loading of third-party content
- 2018 年 10 月October 2018
- 2018 年 9 月September 2018
- 2018 年 8 月August 2018
- 2018 年 7 月July 2018
- 程式庫 API 支援 Python WheelLibraries API supports Python wheels
- IPython 筆記本匯出IPython notebook export
- Azure Key Vault 支援的秘密範圍Azure Key Vault-backed secret scopes
- 試用進階工作區Trial Premium workspaces
- 叢集模式和高並行存取叢集Cluster mode and high concurrency clusters
- 資料表存取控制Table access control
- 無法使用的叢集節點類型會呈現灰色Unavailable cluster node types grayed out
- R Markdown 支援R Markdown support
- 首頁重新設計，可置放檔案以匯入資料Home page redesign, with ability to drop files to import data
- 小工具的預設行為Widget default behavior
- 資料表建立 UITable creation UI
- 多行 JSON 資料匯入Multi-line JSON data import
- 2018 年 6 月June 2018
- 2018 年 5 月May 2018
- 一般資料保護規定 (GDPR)General Data Protection Regulation (GDPR)
- Azure Databricks 使用者必須屬於 Azure AD 租用戶Azure Databricks users must belong to Azure AD tenant
- HorovodEstimatorHorovodEstimator
- MLeap ML 模型匯出MLeap ML Model Export
- 更多的 GPU 叢集類型Even more GPU cluster types
- 筆記本資料格：隱藏和顯示Notebook cells: hide and show
- 文件網站搜尋Doc site search
- 適用於 Machine Learning 的 Databricks Runtime 4.1 ML (Beta)Databricks Runtime 4.1 ML for Machine Learning (Beta)
- Databricks DeltaDatabricks Delta
- 影像資料類型的 Display() 支援Display() support for image data types
- GPU 叢集類型GPU cluster types
- 秘密管理正式推出Secret management GA
- 秘密 API 端點和 CLI 命令變更Secrets API endpoint and CLI command changes
- 叢集釘選Cluster pinning
- 叢集自動啟動Cluster autostart
- 工作區清除Workspace purging
- Databricks CLI 0.7.1Databricks CLI 0.7.1
- 2018 年 4 月April 2018
- 秘密 CLISecrets CLI
- 深度學習指南Deep Learning guides
- 適用於建立祕密範圍的秘密 API 更新Secrets API update for Create Secret Scope
- Spark 錯誤提示Spark error tips
- Databricks CLI 0.7.0Databricks CLI 0.7.0
- 增加 Init 指令碼輸出截斷限制Increase init script output truncation limit
- 叢集 API：已新增 UPSIZE_COMPLETED 事件種類Clusters API: added UPSIZE_COMPLETED event type
- 命令自動完成Command autocomplete
- 無伺服器集區已升級為 Databricks Runtime 4.0Serverless pools upgraded to Databricks Runtime 4.0
- 2018 年 3 月March 2018
- 命令執行詳細資料Command execution details
- Databricks CLI 支援
--profileDatabricks CLI supports--profile - 新的進階 SKU 客戶已預設啟用 ACLACLs enabled by default for new Premium SKU customers
- Azure Databricks 現已正式推出Azure Databricks is now generally available
- 新增文件網站主題New doc site theme
- 自動調整本機儲存體Autoscaling local storage
- 虛擬網路 (VNet) 對等互連Virtual network (VNet) peering
- 叢集事件記錄Cluster event log
- Databricks CLI：0.6.0 版本Databricks CLI: 0.6.0 release
- 作業執行管理Job run management
- 編輯叢集權限現在需要編輯模式Edit cluster permissions now requires edit mode
- Databricks ML 模型匯出Databricks ML Model Export
- 2018 年 2 月February 2018
- 新折線圖可支援時間序列資料New line chart supports time-series data
- 更多的視覺效果改進More visualization improvements
- 使用作業 API 刪除作業執行Delete job runs using Job API
- 已更新 KaTeX 數學呈現程式庫KaTeX math rendering library updated
- Databricks CLI：0.5.0 版本Databricks CLI: 0.5.0 release
- DBUtils API 程式庫DBUtils API library
- 僅篩選您的作業Filter for your jobs only
- 從 [建立作業] 頁面進行 Spark-submitSpark-submit from the Create Job page
- 從 [建立叢集] 頁面選取 [Python 3]Select Python 3 from the Create Cluster page
- 工作區 UI 改進Workspace UI improvements
- SQL 命令和資料庫名稱會自動完成Autocomplete for SQL commands and database names
- 無伺服器集區現在支援 RServerless pools now support R
- XGBoost 可作為 Spark 套件XGBoost available as a Spark Package
- 適用於 SQL 和 Python 的資料表存取控制 (Beta)Table access control for SQL and Python (Beta)
- 2018 年 1 月January 2018
- Azure Blob 儲存體容器和 Data Lake Store 的掛接點Mount points for Azure Blob storage containers and Data Lake Stores
- 叢集標籤Cluster tags
- 適用於 SQL 和 Python 的資料表存取控制 (個人預覽版)Table Access Control for SQL and Python (Private Preview)
- 透過 API 匯出筆記本作業執行結果Exporting notebook job run results via API
- Apache Airflow 1.9.0 包含 Databricks 整合Apache Airflow 1.9.0 includes Databricks integration