2019 年 5 月May 2019

这些功能和 Azure Databricks 平台改进已于 2019 年 5 月发布。These features and Azure Databricks platform improvements were released in May 2019.

备注

发布分阶段进行。Releases are staged. 在初始发布日期后,可能最长需要等待一周,你的 Azure Databricks 帐户才会更新。Your Azure Databricks account may not be updated until up to a week after the initial release date.

群集事件日志筛选Cluster event log filtering

2019 年 5 月 9 日至 14 日:版本 2.97May 9-14, 2019: Version 2.97

现在,在筛选群集事件日志时可以“全选”,这样便可以通过排除特定事件类型更轻松地进行筛选。You can now Select All when you filter the Cluster event logs, making it easier to filter by excluding particular event types.

选择所有事件筛选器Select all event filter

Azure Databricks 诊断日志记录Azure Databricks diagnostic logging

2019 年 5 月 6 日May 6, 2019

你现在可以捕获用户在 Azure Databricks 中执行的活动的详细审核线索。You can now capture a detailed audit trail of the activities that your users perform in Azure Databricks. 诊断日志(审核日志)捕获以下类别的事件:Diagnostic logs (audit logs) capture events in the following categories:

  • DBFSDBFS
  • 群集Clusters
  • 帐户Accounts
  • 作业Jobs
  • 笔记本Notebooks
  • SSHSSH
  • 工作区Workspace
  • 机密Secrets
  • SQL 权限SQL Permissions

可以将 Azure Databricks 诊断日志发送到各种目标:You can send Azure Databricks diagnostic logs to a variety of targets:

  • 将诊断日志存档到存储帐户。Archive diagnostic logs to a storage account.
  • 将这些日志流式传输到事件中心。Stream them to an event hub.
  • 将其发送到 Log Analytics 工作区,并使用 Azure Monitor 查看这些日志,以获取与其他第一方 Azure 服务类似的体验。Send them to a Log Analytics workspace and view them using Azure Monitor, for an experience similar to other first-party Azure services.

可以使用门户、Azure CLI、PowerShell、REST API 和 Azure Policy 在 Azure Databricks 工作区级别启用诊断。You can enable diagnostics at the Azure Databricks workspace level using the portal, Azure CLI, PowerShell, REST API, and Azure Policy.

请参阅 Azure Databricks 中的诊断日志记录See Diagnostic logging in Azure Databricks.

在不提供 Azure Databricks Premium 计划的情况下可用的 JDBC/ODBC 连接JDBC/ODBC connectivity available without Azure Databricks Premium Plan

2019 年 5 月 2 日至 7 日:版本 2.96May 2-7, 2019: Version 2.96

对于没有 Azure Databricks 高级计划的客户,Azure Databricks 现在支持通过 JDBC/ODBC 连接到 Spark 群集Azure Databricks now supports JDBC/ODBC connections to Spark clusters for customers who do not have the Azure Databricks Premium Plan.