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QUESTION
I have this code:
...ANSWER
Answered 2022-Mar-23 at 05:59You are experiencing the observer effect: by taking a pointer to these fields (which happens when you format a reference with {:p}
) you have caused both the compiler and the optimizer to alter their behavior. You changed the outcome by measuring it!
Taking a pointer to something requires that it be in addressable memory somewhere, which means the compiler couldn't put b
or p
in CPU registers (where it prefers to put stuff when possible, because registers are fast). We haven't even gotten to the optimization stage but we've already affected decisions the compiler has made about where the data needs to be -- that's a big deal that limits what the optimizer can do.
Now the optimizer has to figure out whether the move can be elided. Taking pointers to b
and p
could prevent the optimizer from doing so, but it may not. It's also possible that you're just compiling without optimizations.
Note that even if Point
were Copy
, if you removed all of the pointer printing, the optimizer may even elide the copy if it can prove that p
is either unused on the other side of the copy, or neither value is mutated (which is a pretty good bet since neither are declared mut
).
Here's the rule: don't ever try to determine what the compiler or optimizer does with your code from within that code -- doing so may actually subvert the optimizer and lead you to a wrong conclusion. This applies to every language, not just Rust.
The only valid approach is to look at the generated assembly.
So let's do that!
I used your code as a starting point and wrote two different functions, one with the move and one without:
QUESTION
I am trying to figure out whether i should pick(based on the adoption):
-nimbus-jose-jwt - Used By 279 artifacts OR
-jose4j - Used by 655 artifacts
I found that jose4j 's author, Brian Campbell, is active, based on the commits, it has the features that i need i.e support for JWE
and it works well, but what i don't like is this:
So, are developers picking jose4j, is it a good choice(am i being paranoid?) or should i move to nimbus(the Used By artifacts is more for nimbus, does it mean it s more widely adopted?)
...ANSWER
Answered 2022-Mar-18 at 13:36Looks like that vulnerability is in Logback, which is a dependency that's only used in the unit tests (further down that page you screenshotted shows the different dependency categorizations).
I need get that updated, obviously, but it doesn't impact the library itslef.
QUESTION
I'm creating a music rating app and I'm making a serializer for albums which has many relations and one aggregation method serializer which I think is causing all the trouble. The method gets average and count of reviews for every album. Is there any way I can decrease the number of queries for more performance?
All my models
...ANSWER
Answered 2022-Feb-24 at 20:05First you need to change your aggregate that you call once for every Album to an annotation, this will remove all of those extra aggregation queries
QUESTION
I'm creating a music rating app and I'm using REST Framework to create API in Django. It's super easy but I'm wondering if there is any big difference in loading time when using big serializers model and small. By big and small I mean like in getting more data. For instance I have a album page where I need to use this serializer.
...ANSWER
Answered 2022-Feb-23 at 17:13As you are concerned about the speed to load the objects, There is another way to improve performance. Like there are a number of methods we can use
- ModelSerializer (Slower)
- Read Only ModelSerializer (A little bit faster than ModelSerializer)
- Regular Serializer Read Only
- regular Serializer (almost 60 % faster than ModelSerializer)
Because In the writable ModelSerializer, a lot of time is spent on validations. So we can make it faster by marking all fields as read-only.
A lot of articles were written about serialization performance in Python. As expected, most articles focus on improving DB access using techniques like select_related and prefetch_related. While both are valid ways to improve the overall response time of an API request, they don't address the serialization itself.
And Yes you should go for multiple serializers instead of a BIG NESTED ONE
QUESTION
What I want is to access the customer details in the client side
in next.js
and I need to pass the customer access token
to the backend API. Using next-auth
, I was able to store the access token to the session but is it safe or is it better to use the next.js api route
and use getToken
function? I'm still a beginner in frontend security, I don't know if I'm just being a paranoid but I can't find a topic/post that states it is completely safe.
ANSWER
Answered 2022-Feb-11 at 23:13So by default the session strategy is set to jwt
, which means your session is encoded / signed and safe to store sensitive info in.
However, NextAuth.js can be used to automatically put that accessToken you get from your OAuth provider in the JWT token via the jwt
callback. Therefore you can pull it out anywhere with the getToken()
method you mentioned and authenticate against Google APIs for further use (get drive contents, contacts, etc, etc, etc).
Check out this example for how to do that in the jwt
callback: https://github.com/nextauthjs/next-auth-refresh-token-example/blob/57f84dbc50f30233d4ee389c7239212858ecae14/pages/api/auth/%5B...nextauth%5D.js#L67
QUESTION
I can't find an official answer for this. My researches on google say things like...
It's not necessary because Azure AD B2C is geo replicated, resilinece, bla bla bla bla bla...And even in an event of the 3rd world war, Azure AD BC2 will be up and running.
All right, nice speech, Microsoft. Very good for your sales team, but...
- We have clients. Clients are paranoids. They want us to show how we are doing the backup.
- Also, what about a clumsy admin that's accidentally deletes everyone ?
- And Azure AD B2C stores much more than user data. You can store custom user properties, App Registrations, Flows and many other things that's composes the archtecture of your solution. This must be protected as well.
So, since there is no out-of-the-box solution for this...Anyone knows something non official ? Maybe a power script or a non documented solution ? The solution at Back and restore for Azure AD B2C is no longer valid.
...ANSWER
Answered 2022-Feb-04 at 15:58what about a clumsy admin that's accidentally deletes everyone ?
You can demonstrate how you have restricted Admin access into a Production AAD B2C directory. You can demonstrate that you fully orchestrate your directory configuration through CI/CD pipelines with gated deployments through multiple AAD B2C tenants that act as lower environments.
You have 30 days to restore all deleted objects.
Nobody can delete all accounts via the Portal, and nor should there be any CI/CD pipeline built to perform such an action.
And Azure AD B2C stores much more than user data.
- User object - Dump users via Graph API. ObjectId can not be restored in the case of permanently deletion by an Admin.
- Application Registrations - Config should be in a repo and controlled with CI/CD. If permanently deleted, you should demonstrate how to rebuild an App Registration using the config from your Repo, and update the Application code to reflect the new ClientId/ClientSecret. ClientId cannot be restored from a permanently deleted Application Registration.
- User Flows - Config should be in a repo and controlled with CI/CD
- IdP Configurations - Config should be in a repo and controlled with CI/CD
- Custom policies - Config should be in a repo and controlled with CI/CD
Generally all features that you've configured have MS Graph API configurable endpoints that you can manage via CI/CD, and maintaining these configs in a repo.
QUESTION
I'm wondering what is happening here in postgres, consider this ready-to-run snippet
...ANSWER
Answered 2022-Jan-25 at 13:46Like the documentation says:
The
frame_clause
specifies the set of rows constituting the window frame, which is a subset of the current partition, for those window functions that act on the frame instead of the whole partition.
Now array_agg
acts on the frame (it aggregates all rows in the frame), while lead
doesn't. The documentation goes on to explain:
The default framing option is
RANGE UNBOUNDED PRECEDING
, which is the same asRANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
. WithORDER BY
, this sets the frame to be all rows from the partition start up through the current row's lastORDER BY
peer. WithoutORDER BY
, this means all rows of the partition are included in the window frame, since all rows become peers of the current row.
So the presence of ORDER BY
changes the meaning of the default frame of the window.
QUESTION
ANSWER
Answered 2022-Jan-12 at 07:26I suppose you need to indicate field
option in associations along with name
:
QUESTION
I have a many-to-many polymorphic association setup for customer surveys. The issue that I have run into is when using the add
mixin on the model instance of Survey
. If the joining table already has an item with the surveyed
field equal to the id
of the new surveyable, it gets overwritten.
survey
table:
scheduled_sessions
table:
service_provider
table:
survey_surveyable
table:
When I add
a scheduled session that happens to have the same id as a service provider, the join table row is overwritten:
ANSWER
Answered 2021-Dec-22 at 05:08You are using Survey
's mixin but missing scope
in Survey
's association.
QUESTION
For one of my models/tables, I have a soft delete defined in Sequelize by setting the paranoid
option to true
, which gives me a deletedAt
column.
I also want to make sure that the updatedAt
column is always up-to-date as well. Is there a way for the updatedAt
column to be updated on every change to deletedAt
? I do want to keep paranoid
as true
.
I've investigated using Sequelize hooks: https://sequelize.org/master/manual/hooks.html and I'm assuming it must be one of afterUpdate
or afterDestroy
?
Edited to add model if it helps:
...ANSWER
Answered 2021-Dec-08 at 13:49Found a not-so-elegant but working way of doing it. It's not as easy to manually set updatedAt
as with user-defined columns, and the afterDestroy
and beforeDestroy
hooks require save()
or update()
to be able to actually make changes - guess they weren't really designed with being able to update fields in mind.
Solution was:
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