Lpad and rpad functions now work correctly with BINARY string inputs. Use Cmd+P or Ctr+P (for PC) as a shortcut for Global search.Ī feedback button is available for good or bad query error messages.įix me suggestions are now available as Quick fix. You can now use Cmd+I (for Mac) or Ctr+I (for PC) as a shortcut for Add parameter. Pie chart segments now have a thin border to delineate different segments. The first argument should be referenced by 1$ when using an argument index to indicate the position of the argument in the argument list. ) no longer supports the use of 0$ as the first argument. SET TBLPROPERTIES fail if EXTERNAL is specified in the properties. To participate in the public preview, populate and submit the AI Functions Public Preview enrollment form.ĮXTERNAL is now a reserved table property. This function is only available as public preview on Databricks SQL Pro and Serverless. Return text generated by a selected large language model (LLM) given the prompt with ai_generate_text. If you have bucket versioning enabled, Databricks recommends setting a lifecycle policy to automatically remove old versions of uploaded query results. For numbers, the default setting is now user-defined digit precision.Īutocomplete now suggests frequent past joins for Unity Catalog tables, powered by Unity Catalog lineage data in Databricks Runtime 12.0 and above.Ĭloud Fetch is enabled by default in AWS workspaces with bucket versioning enabled.

Introduces new pivot tables that allow you to aggregate more than 64k results.ĭatabricks SQL tables and visualizations now support BigInt, 38bit Decimals, and non UTF-8 characters. The features listed in the user interface updates sections are independent of the SQL Warehouse compute versions described in the Fixed issues section of the release notes. To learn how to switch an existing SQL warehouse to the preview channel, see Preview Channels. Each new version will be announced in the following sections. From time to time, Databricks may promote a preview version to the current channel on a different schedule. Some features, such as security features, maintenance updates, and bug fixes, may be released directly to the current channel. Typically, a preview version is promoted to the current channel approximately two weeks after being released to the preview channel. Take advantage of preview versions to test your production queries and dashboards against upcoming changes. Preview versions let you try out functionality before it becomes the Databricks SQL standard. Channels let you choose whether to use the Current SQL warehouse compute version or the Preview version.

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