denormalize | Utility to save and restore your complex data structures | 3D Printing library
kandi X-RAY | denormalize Summary
kandi X-RAY | denormalize Summary
Utility to save your complex data structures during normalization.
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denormalize Examples and Code Snippets
Lines of Code : 4License : Permissive (MIT License)
Copydef denormalize(palette):
return [
tuple(int(channel * 255) for channel in color) for color in palette
] Community Discussions
Trending Discussions on denormalize
QUESTION
When reading about CQRS it is often mentioned that the write model should not depend on any read model (assuming there is one write model and up to N read models). This makes a lot of sense, especially since read models usually only become eventually consistent with the write model. Also, we should be able to change or replace read models without breaking the write model.
However, read models might contain valuable information that is aggregated across many entities of the write model. These aggregations might even contain non-trivial business rules. One can easily imagine a business policy that evaluates a piece of information that a read model possesses, and in reaction to that changes one or many entities via the write model. But where should this policy be located/implemented? Isn't this critical business logic that tightly couples information coming from one particular read model with the write model?
When I want to implement said policy without coupling the write model to the read model, I can imagine the following strategy: Include a materialized view in the write model that gets updated synchronously whenever a relevant part of the involved entities changes (when using DDD, this could be done via domain events). However, this denormalizes the write model, and is effectively a special read model embedded in the write model itself.
I can imagine that DDD purists would say that such a policy should not exist, because it represents a business invariant/rule that encompasses multiple entities (a.k.a. aggregates). I could probably agree in theory, but in practice, I often encounter such requirements anyway.
Finally, my question is simply: How do you deal with requirements that change data in reaction to certain conditions whose evaluation requires a read model?
...ANSWER
Answered 2021-Jun-07 at 01:20First, any write model which validates commands is a read model (because at some point validating a command requires a read), albeit one that is optimized for the purpose of validating commands. So I'm not sure where you're seeing that a write model shouldn't depend on a read model.
Second, a domain event is implicitly a command to the consumers of the event: "process/consider/incorporate this event", in which case a write model processor can subscribe to the events arising from a different write model: from the perspective of the subscribing write model, these are just commands.
QUESTION
I'm trying to request a user's customerId based on the user's uid, so that I can use that customerId for future reads/write within the application based on the denormalized structure of other collections.
ANSWER
Answered 2021-Jun-06 at 01:05So angry - the answer is https://stackoverflow.com/a/51115385/1166285
Firebase emulators were on different versions than my project's firebase packages, so npm install -g firebase-tools fixed it.
Wasted like 6 hours 😡🤬 i hope someone working at Firebase sees this!!
QUESTION
I am trying to implement a simple GAN in google collaboratory, After using transforms to normalize the images, I want to view it at the output end to display fake image generated by the generator and real image side by in the dataset once every batch iteration like a video.
...ANSWER
Answered 2021-Jun-01 at 10:39Problem 1
Assuming torch_image is a torch.FloatTensor of shape (C x H x W) in the range [0.0, 1.0]:
QUESTION
I am persisting some entities to a json based db using the symfony serializer. When retrieving them from the json db they are deserialized again. Not all fields are serialized before persisting to the json db.
Is it possible to turn deserialized entities into doctrine proxies, so their relationships can be queried?
ExampleApp\Entity\Employer and App\Entity\Employee (Employee --ManyToOne--> Employer), Employer is not null on Employee.
The relationship is not serialized before persisting Employee to json db.
ANSWER
Answered 2021-May-24 at 09:10I think what you want to do is to merge your decoded entity to be able to use Doctrine abilities ?
📖 Take a look on this documentation of Doctrine : https://www.doctrine-project.org/projects/doctrine-orm/en/2.8/reference/working-with-objects.html#merging-entities
It would be something like :
QUESTION
I'm wondering how to approach making something like a denormalized universal relationships table within a Domain Design project (using NodeJS, NestJS). The relationships, similar to a 'like' in social media that can be applied to different item types, would potentially cross bounded contexts, but would not need to have knowledge of the context's domain and internal logic.
In database terms, this is the concept, though not generally good practice:
...ANSWER
Answered 2021-May-19 at 13:03I suggest modeling a relationship as an aggregate (different kinds of relationships might be different aggregates or you might just have Relationship be an aggregate); since the relationships are between things between aggregates in different bounded contexts, this is probably going to be its own bounded context.
The aggregate is basically just holding references (by ID, not references in the programming language sense) to the roots of the related aggregates (if the relationship is free-form in terms of what can be related, these IDs would also encode the type of aggregate).
It bears noting that as we're crossing bounded contexts (which generally could conceivably start operating at network distance from each other), it's reasonably likely that some level of eventual consistency will come into play: I'd advise against trying to enforce strong foreign key-style constraints on the relationships unless you're absolutely sure that you'll never run bounded contexts at network distance from each other (and make it clear that this relationship bounded context will prevent that from being done).
QUESTION
The following simplified example works but not sure it's the most efficient approach because I'm calling getLocation() multiple times within a Svelte each block per iteration:
...ANSWER
Answered 2021-May-14 at 21:34I'd say the answer just depends on what's going on in with the data.
I usually try to avoid using any functions as part of the template (excluding actions). This default practice comes from using Vue2, where the use of computed can be easily used to inject cached data instead of computing in-place on re-render. In svelte though, I've found that the reactivity does a pretty good job of determining which parts to update within a component.
here's an example (copy paste to repl)
QUESTION
I was of the impression that in OLAP , we try to store data in a denormalized fashion to reduce the number of joins and make query processing faster. Normalization that avoids data redundancy was more for OLTP systems.
But then again, 2 of the common modelling approaches (star and snowflake schema) are essentially normalized schemas.
Can you help me connect the dots?
ANSWER
Answered 2021-May-11 at 17:47When people use the term "normalised" they normally mean something that is in, or at least close to, 3rd normal form (3NF).
Unless you mean something significantly different by the term normalised then neither Star or Snowflake schemas are normalised. Why do you think they are normalised?
QUESTION
I am working on a SQL project and i'm not good enough. I loaded data to a denormalized table. Then I inserted data to father and mother table from this denormalized table. Now I need to insert data to family table which has two foreign keys (mother_mother_id and father_father_id). So here is my thing, I want to take some columns from denormalized data like family_size, family_type and also for foreign keys, I need to take father_id from father table and mother_id from mother table.
According to other stackoverflow questions everyone suggested full outer join. But my tables have no common column to use an "on" situtation. For this issue I tried to join this data without any "on" condition. Then SQL apply cross join and I don't want this.
For example I've got these tables
Table A
carModel year x 1999 y 2005Table B
computer price t 1000 z 2000Table C
food cals b 500 n 600Here is the result I want
Table D
carModel year computer price food cals x 1999 t 1000 b 500 y 2005 z 2000 n 600I'm using MySQL 8.0
...ANSWER
Answered 2021-Jan-24 at 10:53I created a fiddle to solve this question:
https://www.db-fiddle.com/f/3MGCAaL1YU4ZdkRGfSwPPK/0
First the tables are created:
QUESTION
I'm doing validations between source tables and destination tables in different processes in a Data Lake.
I work with StandardSQL in BigQuery, and I do the comparisons between both tables with this query:
...ANSWER
Answered 2021-Apr-27 at 19:58Use CROSS JOIN to 'explode' the rows, so you have a row for each measure.
Use 'conditional aggregation' to 'collapse' pairs of rows in to one row with two columns.
QUESTION
I'm trying to figure out how to create a merged/denormalized document for an order document in firebase, as described in the "Five Uses for Cloud Functions" Firebase video (https://www.youtube.com/watch?v=77XmRDtOL7c)
User creates the basic document, functions pulls in data from several other documents to create the desired result.
Here's a basic example of what I'd like to accomplish.
...ANSWER
Answered 2021-Mar-24 at 18:01With admin.firestore().collection('branches').doc(branchId); you actually declare a DocumentReference. Then, in order to get the values of the document fields, you need to call the asynchronous get() method.
So the following should do the trick:
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