It's one of our top 10 reasons not to upgrade to Windows 11. In Windows 11 Home, you are forced to use a Microsoft Account, which means you must have an internet connection (or jump through some serious hoops (Opens in a new window) to get around it). Enter a local account name and new password (and a hint for when you forget it). Click Sign in with a local account instead. If you already signed in with a Microsoft account, go to Settings > Accounts > Your info.
When you set up Windows 10 or 11, Microsoft specifically asks you to sign in using that account. Microsoft prefers if you sign in to Windows with your Microsoft account-the one attached to all things Microsoft, be it your Xbox, Office 365, or OneDrive account, buying apps or music or video in the Windows Store, even talking on Skype, to name just a few.
The second from the bottom notifies you without the dimming scare tactic, however, you'll still get a dialog box confirmation with a yes/no option when you install things. The screen presents a slider with four levels of security, from never notify (bad) to always notify (annoying-it'll warn you when you make your own changes). Type UAC into the Windows 10 or 11 search box to get Change User Account Control Settings. UAC lives on and will still dim the desktop, but you have the option to turn it off, or at least prevent the screen dimming as you get a different notification. In the old days, when you went to do an install, the screen would suddenly dim and everything seemed to come to a halt, causing several (anecdotal, probably fictional) heart attacks amid the populace. User Account Control (UAC) in both Windows 10 and 11Įver since Windows Vista, User Account Control (UAC) has been there to protect users so the OS can quickly grant administrative rights to software programs that need it-specifically when installing or uninstalling software.
How to Set Up Two-Factor Authentication.How to Record the Screen on Your Windows PC or Mac.How to Convert YouTube Videos to MP3 Files.How to Save Money on Your Cell Phone Bill.How to Free Up Space on Your iPhone or iPad.How to Block Robotexts and Spam Messages.the fix for the bug is just a configuration change that can be easily changed and tested in your deployment. change the configuration back to CMS GC.considering all the above, I found this bug that was fixed in version 7.4 regarding the use of circuit-breaker together with the G1GC GC:.also as part of our internal upgrade we changed the jvm.options default configuration, switching the official recommended CMS GC with the G1GC GC which have a fairly new support by elasticsearch.In our internal upgrade of ES to version 7.2, we changed the jdk from 8 to 11.in version 7.2 ES introduced a new way for calculating circuit-break: Circuit-break based on real memory usage (why and how:, code: ).we started experience issues around it when moving from version 5.4 to 7.2.
the circuit breaker mechanism exists since the very first versions.So I've spent some time researching how exactly ES implemented the new circuit breaker mechanism, and tried to understand why we are suddenly getting those errors? (change circuit-breaker values, change es.yml configuration, change/limit my ES requests) I would like to understand what scenarios could have led to this error?Īnd what action can I take in order to handle it properly? When using ES cluster nodes with <=8gb heap size (on a <=16gb vm), the problem become very visible, so, one obvious solution is to increase the memory of the nodes.īut I feel that increasing the memory only hides the issue. I'm having hard time to pin point the source of the issue. "reason": " Data too large, data for would be, which is larger than the limit of, real usage:, new bytes reserved: ", I use only the default 7.x circuit-breaker values, such as: My ES configuration: Elasticsearch version: 7.2Ĭustom configuration in elasticsearch.yml: Since the upgrading from ES-5.4 to ES-7.2 I started getting "data too large" errors, when trying to write concurrent bulk request (or/and search requests) from my multi-threaded Java application (using elasticsearch-rest-high-level-client-7.2.0.jar java client) to an ES cluster of 2-4 nodes.