Strukt is a cloud service that allows users to quickly and easily process and analyze any tabular data. With Strukt, users can pull data from files, folders, URLs, the clipboard, Git repositories, Postgres, MySQL, Redis, and more. Supported file types include CSV, TSV, XLSX, JSON, web logs, and SQLite. Results can be viewed as a table, line or bar chart, text (plain or HTML), or a map. Strukt supports real data types, such as strings, numbers, booleans, dates, locations, colors, blobs, and nulls, and updates in real time as users edit the pipeline steps.
v1.7 [Nov 16, 2020]
Output view improvements:
- Improve performance of the line chart for large datasets.
- On right-click on table -> "Open with" -> "Other...", use a sheet, instead of a floating dialog. Also, if the chosen application refuses to open the file, report that to the user.
Output view bug fixes:
- Fixed right-click on table -> "Open with" -> "Strukt". A recent bug fix inadvertently disabled this feature.
- Fixed a bug where the histogram could disappear after it finished drawing.
Operation improvements:
- Improve warning messages (especially for "Literal Value") to explain what flag formats are supported.
- Add some keyword aliases to the "Read from URL" operation, like "download" and "http", to make it easier to discover.
- In "Parse Archive" docstring, say where the data comes from ("bytes"). It was consistent with other operations that take binary data, but never actually stated.
Operation bug fixes:
- Fixed a bug which could affect the "List Files" operation. Previously, it could fail to report results if you typed a folder name which didn't end with a trailing / character.
- Fixed two separate bugs where malformed database connection URLs could crash the application.
- Fixed the "Replace Text" operation's "case-sensitive?" flag. Due to a dumb mistake, this flag was previously ignored.
- Fixed a possible bug in "Group by". I'm not sure this ever returned incorrect results, as I was not able to demonstrate or detect the bug in any actual pipelines.
Internal improvements:
- Various internal cleanups, especially related to database queries.
- Remove some old logging (mostly added in v1.7.1 for tracking down bug #39).
