What should be done when getting resyncApplyDifferences error in OneDrive? - microsoft-graph-api

I'm getting the following error when calling /delta:
resyncApplyDifferences: Resync required. Replace any local items with the server's version (including deletes) if you're sure that the service was up to date with your local changes when you last sync'd. Upload any local changes that the server doesn't know about.
What it's asking is for seems quite extreme, do I need to wipe out all the items I have and replace them with the server version? I know that the current sync state is fine so is there any way to bypass this error?
Also what's triggering this message? Is there any way to avoid it in the future?

The error content here sounds a bit more severe that it really is. Basically it's saying there is an issue with the delta token and the service can no longer determine the changes to the Drive since your last poll.
If you're 100% sure there are no changes, you can simply reset by requesting a /delta without a token and starting over. If you're not 100% sure, you can compare that fresh /delta with your local files and re-apply any changes required (upload local files missing from the drive, delete files removed from the drive, etc).

Related

Proper way to save/update a one-off timestamp in Rails app

New to Rails, and looking for the 'right' way to do something that seems straight-forward, but nothing I've read about sounds quite right.
I have a Rails app on Heroku, and I've added a call to an endpoint that depends on an external system. If that call is unsuccessful there'll be some follow up needed, so I save details to the error log. I've added a notification email (to a slack room for this sort of thing) to prompt me to check the logs and follow up if it happens.
In case the endpoint gets bogged down and fails repeatedly, I want to be able to throttle the slack alert so I don't spam everyone (for example, only email the slack room if 30 min have gone by since the last time it alerted).
To do this, I imagine I need:
somewhere to save a timestamp for the last email notification for the error
whenever the error occurs, compare with that timestamp and only email slack room if the 30-min window has passed. Then update the timestamp with the new value.
What's an appropriate place to save this kind of timestamp value? I've read that global variables are the devil (and wouldn't actually work in this case), but the other options (adding database field, trying the simpleconfig gem) seem excessive/incorrect for something internal that I don't even know will happen once, let alone frequently.
Is there a lightweight way to get this done?
A popular choice would be to store it in a Redis store -- especially if you already have one set up for something else, like caching. As this is itself ephemeral data, you could even use the Rails.cache API to abstract away the detail and have this code just trust that it gets stored somewhere.
Failing that, the most straightforward solution is probably to create a tiny single-row table and store it in there: it's overkill, but doesn't involve doing anything unusual, or that would look out of place in the middle of a Rails application.
As a quick and simple solution, though, a global variable isn't out of the question: it has strong limitations, like it won't be shared across multiple server processes, and it'll go away any time the process restarts... but if those add up to a risk that you'll get, say, 4-6 notifications in an error-heavy 30 minute period -- maybe that's good enough? (It'd also give you a "reset on deploy" feature for free, so you know immediately if the problem's still occurring after you think you've fixed it.)

How to handle SAP Kapsel Offline app OData conflicts properly?

I build an app that is able to store OData offline by using SAP Kapsel Plugins.
More or less it's the same as generated by WEB ID or similer to the apps in this example: https://blogs.sap.com/2017/01/24/getting-started-with-kapsel-part-10-offline-odatasp13/
Now I am at the point to check the error resolution potential. I created a sync conflict (chaning data on the server after the offline database was stored and changed something on the app and started a flush).
As mentioned in the documentation I can see the error in ErrorArchive and could also see some details. But what I am missing is the information of the "current" data on the database.
In the error details I can just see the data on the device but not the data changed on the server.
For example:
Device is loading some names into offline store
Device is offline
User A is changing some names
User B is changing one of this names directly online
User A is online again and starts a sync
User A is now informend about the entity that was changed BUT:
not the content user B entered
I just see the "offline" data.
Is there a solution to see the "current" and the "offline" one in a kind of compare view?
Please also note that the server communication is done by the Kapsel Plugin and not with normal AJAX calls. This could be an alternative but I am wondering if there is no smarter way supported by the API?
Meanwhile I figured out how to load the online data (manually).
This could be done by switching http handler back to normal one.
sap.OData.removeHttpClient();
sap.OData.applyHttpClient();
Anyhow this does not look like a proper solution and I also have the issue with the conflict log itself. It must be deleted before any refresh could be applied.
I could not find any proper documentation for that. Also ETag handling is hardly described in SAPUI5 and SAP Kapsel documentation.
This question is a really tricky one, due to its implications. I understand that you are simulating a synchronization error due to concurrent modification, and want to know if there is a way for the client to obtain the "current" server state in order to give the user a means to compare the local and server state.
First, let me give you the short answer: No, there is no way for the client to see the current server state "for reference" via the Offline APIs when there are synchronization errors. Doing an online query as outlined above might work, but it certainly is a bad idea.
Now for the longer answer, which explains why this is not necessarily a defect and why I said there are quite some implications to the answer.
Types of Synchronization Errors
We distinguish a number of synchronization errors, and in this context, we are clearly dealing with business-related issues. There are two subtypes here: Those that the user can correct, e.g. validation errors, and those that are issues in the business process itself.
If the user violates the input range, e.g. by putting a negative price for a product, the server would reply with the corresponding message: "-1 is not a valid input value for 'Price'". You, as a developer, can display such messages to the user from the error archive, and the ensuing fix is indeed a very easy one.
Now when we talk about concurrent modification, things get really, really nasty. In fact, I like to say that in this case there is an issue with the business process, because on one hand, we allow data to get out of sync. On the other hand, the process allows multiple users to manipulate the same piece of information. How all relevant users should now be notified and synchronize, is no longer just a technical detail, but in fact a new business process. There just is no way to generically device how to handle this case. In most cases, it would involve back-office experts who need to decide how the changes should be merged.
A Better Solution
Angstrom pointed out that there is no way to manipulate ETags on the client side, and you should in fact not even think about it. ETags work like version numbers in optimistic locking scenarios, and changing the ETag basically means "Just overwrite what's on the server". This is a no-go in serious scenarios.
An acceptable workaround would be the following:
Make sure the server returns verbose error messages so that the user can see what happened and what caused the conflict.
If that does not help, refresh the data. This will get you an updated ETag, and merge the local changes into the "current" server state, but only locally. "Merging" really means that local changes always overwrite remote changes.
The user now has another opportunity to review the data and can submit it again.
A Good Solution
Better is not necessarily good, so here is what you should really do: Never let concurrent modification happen because it is really expensive to handle. This implies that not the developer should address this issue, but the business needs to change the process.
The right question to ask is, "When you replicate data in a distributed system, why do you allow it to be modified concurrently at all?" Typically stakeholders will not like this kind of question, and the appropriate reaction is to work out a conflict resolution process together with them. Only then they will realize how expensive fixing that kind of desynchronization is, and more often than not they will see that adjusting the process is way cheaper than insisting in yet another back-office process to fix the issues it causes. Even if they insist that there is a need for this concurrent modification, they will now understand that it is not your task to sort this out and that they need to invest in a conflict resolution process.
TL;DR
There is no way to compare the server and client state to the server state on the client, but you can do a refresh to retain the local changes and get an updated ETag. The real solution, however, is to rework the business process, because this no longer is a purely technical issue.
The default solution is that SMP or HCPms is detecting errors by ETags. At client side there is no API to manipulate ETags in case of conflicts. A potential solution to implement a kind of diff view on the device would work like this:
Show errors
Cache errors (maybe only in memory?)
delete the errors
do a refresh of the database
build a diff view with current data and cached errors
The idea with
sap.OData.removeHttpClient();
sap.OData.applyHttpClient();
could also work but could be very tricky and may introduce side effects.
Maybe some requests are triggered against the "wrong" backend.

Detect "Delay write failed" occurence

I am loosing my patience with "delay write failed" errors. It silently disconnects the database from the application so nothing gets saved in the database while using it. Is there a way to detect the occurrence itself so I can flash a warning ? Or perhaps monitoring the connection itself for a disconnection ? Everyone seems to miss the balloon tip from the Windows XP so I figured to flash a more visible warning that the application must be restarted. It seems Microsoft has found a way to force people to upgrade....
I suppose this could be done with a timer and constantly check connected users:
cxlabel1.Caption := IntToStr(DataModule2.ABSDatabase1.GetDBFileConnectionsCount);
But I was thinking more of checking/detecting for the occurence itself. Is there something in Delphi that can detect this?
I would like to hear your ideas on this...
Putting this as an answer because the comment length is limited.
I have seen this before. IIRC, the problem you have is that the Delayed Write Error is an OS error, it has nothing to do with your application. Windows has already told you that the write has been committed correctly to disk. You would have to try and hook into the OS errors to see when this is happening.
You need to get the network issues resolved because that's where the problem is. In our situation it was a faulty router that was causing the problem.
It's unfair to expect users to check for the error message and then handle it. They could be out at lunch when it occurs as it's not immediate. They also have no way of know what has been saved and what hasn't. It's only a matter of time before your database is corrupted.
The problem with a timer is that it might tell you everything is fine because it triggers after the network resolves the problems.
A far better approach would be to switch to a Client/Server database. You can do this by setting up your own server that listens for web service or another remote call or switch to a database that supports client/server instead of using a file based database. This will tell you immediately when there is a problem with the save of data.

How to get page wise email FLAG changes since last sync

Gmail recently supported CONDSTORE CAPABILITY and which gives the feasibility of getting the flag changes since last sync.
Command for fetching changes:
. FETCH 1:* FLAGS (CHANGEDSINCE modseq)
Above command works nice if there are only few changes since last sync but it is not going to work in case of more number of changes since last sync. suppose client is not synced to Gmail server for long time. Here when I request for the changes since last sync then Gmail throws the huge response which my IMAP c-client is unable to process it.
Is there any page wise request for changes with CHANGEDSINCE. I know that there is one solution to fetch chunk wise like below, but it introduces lot of other manipulations which I don't want to do.
. FETCH 1:1000 FLAGS (CHANGEDSINCE modseq)
Can any one help me to solve this issue.

How to convert a registered version of an application back to a trial version when it is copied to another computer?

I would like to include some type of copy protection scheme on my applications that would make a retail registered version of my software revert back to a trial version of my software if/when it gets installed on another computer.
In the old days I would simply store all the user information in a record that I tacked on to the end of the exe file. During the registration process I would simply poke those values into the data record on the end of the exe file. This worked great until good ol Norton started flagging my product as a virus because the exe file changed.
I stopped doing that a long time ago. I'm getting ready to create an updated version of my software and I'd like to know how you have accomplshed this.
The information that makes it a retail version should be stored on the target computer, not with the original program. That way, when they try to move the program, it reverts to the trial version because the retail information is missing on the new computer.
The retail information is added via a registration process, using a unique key. There are a number of ways to make this key work only once. One way is to transmit it directly to the program over the internet, where the user never sees it, so they can't manually transfer it to the new computer.
You should save the information in multiple locations to minimize the chance a savvy user can find it (using e.g. Process Monitor). I would suggest
a registry key in HKCU and
a hidden file in the local application directory.
Also save some information which is bound to the local computer, so even if the average user finds your file and registry entry copying won't succeed because they don't know how to obtain the updated data on a new PC. This information can also be a key generated by you based on some hardware ID the user has to send you.
Regarding the key generation algorithm: if the protection is "against" the average user then just make something up. This one depends a little bit on your target group. A simple one like ROT47 might be enough.
Perhaps you can use the same thing.
Except in stead of saving the data in the exe (invoking a false positive of the AV) hash and save the data in a separate file.

Resources