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It is not necessary to restart the machines. On Microsoft Answers there is also this thread on the subject. MVP Daniel Pineault has also published a post here with corresponding references. Addendum: Shortly after writing this article, Microsoft has released Version December 16 Build This update fixes an issue that would prevent multiple users from opening a database on a network file share. But this support article hasn't been updated till yet. Thank you for this thorough summary.

This update has broken critical network-shared databases in my organization, and because was meant to fix vulnerabilities IS will understandably be hesitant to revert. We are currently holding at. ALL of our databases are now broken and causing much hardship in our organization. It's now been over a week. WTF Microsoft??? How could you have done this…and not fixed the issue immediately.

While data append is running, users can still render reports against the CAS table using the original data, but excluding the appended rows. Similarly, during the data update process, the updated data is not available to users or reports until the update process is complete. However, CAS lets you render reports using the original non-updated data, as the CAS table is always available for the read process.

During the data update process, CAS makes additional copies into memory of the to-be-updated blocks containing rows in order to perform the update statement. Once the update process is complete, the additional and now obsolete copies of blocks, are removed from CAS. The space requirement depends on the number of rows being affected by the update process. However, there could be many concurrent active read processes against a global CAS table. A global CAS table is always available for read processes, even when an append or update process is running on the same CAS table.

Both append processes were submitted to CAS with a gap of a few seconds. All Products. Low-Code Application Development. Software Development. Towards Digital Maturity. AI Use Cases. Data Integration. AI Partners. AI Engineering. AI Softwares. Book a session. Better Software.



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