Designer 中的新增功能

We have updated the tool configuration UI in the Output Data tool, including an improved connection creation experience.

Additionally, you can now connect the Output Data tool to datasets that you have access to in your active Alteryx One workspace.

The output configuration panel also includes additional output actions: relational datasets support append, create, drop, and update, while file-based datasets support create and overwrite.

We've made a number of usability improvements to the Save As > Alteryx One experience in Designer. This includes adding tooltips, information banners, and the option to reset dependencies for packaged workflows.

The Alteryx One app supports temporary and permanent offline scenarios. If you don't have an internet connection, you can still launch Designer from the Alteryx One app and activate Designer offline if needed. After activation, you can continue using Designer while offline. Available functionality is limited to the features that Designer supports in offline mode.

从 Alteryx One 应用中启动的 Designer 窗口显示的工作区名称，与 Alteryx One 应用窗口中当前选定的工作区名称相同。

如需切换工作区，请转至 Alteryx One 应用。无法在 Designer 中切换工作区。

Control containers now distinguish between recoverable errors and exceptions that indicate code defects. Recoverable errors continue to appear as informational messages or warnings, while code defects are reported as errors to help identify issues that require investigation.

Designer now uses the AMP engine as the default engine for all new workflows. New workflows no longer include an option to use the original engine by default.

Existing workflows retain their current engine setting, and you can configure them to use either engine. Once you save an existing workflow configured to use the AMP engine, you can't revert the change.

We've converted the Python tool to work natively with the AMP engine.

The AMP Engine now uses a dynamic disk allocation strategy for spill files instead of fixed 256 KB blocks. Disk space is allocated based on the size of the compressed data, which can reduce disk usage and I/O overhead when workflows process highly compressible data, such as repetitive values.

The Select Fields option, available for Parquet files, lets you specify a comma-separated list of fields to read. The Input Data and Dynamic Input tools read only the selected fields, which can reduce the amount of data your workflow processes.

This feature is currently available only in Designer. If you run the workflow on an earlier version of Server (2026.1 and earlier), you may notice differences in execution time because this optimization isn’t yet supported.

我们已在主要连接器中统一了 DCM 连接器的表单样式，以提供更一致的配置体验。本次更新引入了更清晰的技术和身份验证名称，对表单进行了精简，改进了字段组织与帮助提示，并删除了冗余选项，从而简化连接器设置流程。

You can continue to read from and write to Microsoft Excel 97–2003 (XLS) files by specifying the file path directly.

Designer now supports both 32-bit and 64-bit Microsoft Access Database Engine (ACE) drivers and automatically uses the latest installed version, preferring the 64-bit driver.

These changes align with the planned removal of 32-bit driver support starting in 2026.3.

我们已改进与重命名的 Databricks ODBC 驱动程序的兼容性，替代了旧版 Simba Spark ODBC 驱动程序。本次更新有助于在从旧版驱动程序迁移时，避免连接和工作流方面的问题。

我们已为原生 BigQuery 连接器新增合并/更新插入写入模式。现在，您可以通过定义匹配键列，在单次批量写入操作中同时更新现有记录和插入新记录。合并处理直接在 BigQuery 中运行，简化了增量数据加载工作流，并在各云数据仓库连接器之间提供更加一致的体验。

The Input Data tool includes a new Use String for Date/Time Types option for MapInfo TAB (.TAB) files.

By default, Designer imports date and time fields as strings to preserve existing behavior. Clear this option to import date, time, and datetime fields as native Alteryx data types for immediate use in date calculations and sorting.

If you execute the workflow on an earlier version of Server (2026.1 and earlier), this setting will be ignored.

增加了多项 AI 工具改进：