use-bus | React hook to subscribe and dispatch events accros React | Frontend Utils library

by fabienjuif JavaScript Version: v2.5.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | use-bus Summary

use-bus is a JavaScript library typically used in User Interface, Frontend Utils, React applications. use-bus has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i use-bus' or download it from GitHub, npm.

React hook to subscribe and dispatch events accros React components

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Quality

Security

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Support

use-bus has a low active ecosystem.

It has 51 star(s) with 10 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 435 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of use-bus is v2.5.0

Quality

use-bus has 0 bugs and 0 code smells.

Security

use-bus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

use-bus code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

use-bus is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

use-bus releases are available to install and integrate.

Deployable package is available in npm.

Installation instructions are not available. Examples and code snippets are available.

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use-bus Key Features

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use-bus Examples and Code Snippets

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Community Discussions

Trending Discussions on use-bus

SCD 1 dimension without surrogate key

Generic vs Conformed dimensions

Efficient query to get step duration from an event logs table in sql into an accumulating snapshot fact

QUESTION

SCD 1 dimension without surrogate key

Asked 2020-Mar-18 at 11:29

This reference to Kimball group state that all dimensions should have surrogate keys except some very predictable one like date diemnsion.

I have exactly the same case as described at SCD Type 1 Wiki page:

Technically, the surrogate key is not necessary, since the row will be unique by the natural key (Supplier_Code).

Data are loaded from operational system without surrogate key, while I calculating surrogate key in ETL based on single and unique xxx_code column. SCD Type 1, full load.

Are there any reasons to use surrogate key in my case instead of making natural key from xxx_code column?

...

ANSWER

Answered 2020-Mar-18 at 11:29

Surrogate keys have certain advantages:

They protect data, so the built-in keys do not need to be visible everywhere.
They allow the surrogate key to be changed.
Surrogate keys are usually numbers, which is more efficient than compound keys or strings.

All that said, natural keys might be quite useful sometimes. For example, I work with rather complex chains of systems. Introducing new keys in each system just starts to get confusing -- which is the product code, for instance.

Despite my bias toward surrogate keys, natural keys can be useful in such cases. What is important is that such keys be primary keys, that they really cannot change values, and that they are -- preferably -- numbers (which are more efficient for foreign key relationships).

Source https://stackoverflow.com/questions/60736651

QUESTION

Generic vs Conformed dimensions

Asked 2019-Dec-27 at 09:30

I'm new to dimensional modeling. I'm reading Kimball's "The Data Warehouse Toolkit".

As soon as I understood, Conformed Dimensions are a good thing, a key concept for integration of different fact tables. Usually you will have a separate fact table per business process, and if someone want to make decisions based on multiple processes - in most cases conformed dimensions allow to perform Drilling Across instead of Consolidated Fact Table. Looks pretty straighforward.

But how Abstract Generic Dimensions differs from Consolidated Dimensions?

Looks the same for me. For some reason Abstract Generic Dimensions are consider anti-pattern. The referenced example says it's bad to use the same geo-location dimension table for employees, customers and vendors. Two reasons: attributes may differ and dimension table size. But haven't Conformed Dimensions got the same downsides?

...

ANSWER

Answered 2019-Dec-27 at 09:30

The Kimball article on abstract generic dimensions doesn't say anything about dates.

A Customer dimension shared across sales and marketing facts is a conformed dimension

A single Person dimension containing employees and customers is an example of an abstract generic dimension (which might be "bad" if there is very little commonailty in attributes or processes)

However IMHO nothing in Kimball is a hard and fast rule - I see it as guidance, and the note on abstract generic dimensions to me is just a warning to do proper analysis before jumping into using one dimension to model two things that seem the same but probably aren't from a data detail perspective.

Source https://stackoverflow.com/questions/59454612

QUESTION

Efficient query to get step duration from an event logs table in sql into an accumulating snapshot fact

Asked 2019-Jun-26 at 01:41

This example was built in SQL Server 2016 but it should also apply to MySQL 8.X.

I have event logs data stored in a table fact_user_event_activity with the following sample data:

...

ANSWER

Answered 2019-Jun-26 at 01:41

So one approach you might take is adding an index (assuming you can add one) such as:

CREATE INDEX [SomeIndexName] ON [fact_user_event_activity] (user_key, session_id, step_key, event_timestamp);

(Or you could just do an include on step_key, event_timestamp if you're concerned about the size of the index on 500m rows.)

Then skip using the window functions with a query such as the following:

Source https://stackoverflow.com/questions/56761769

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install use-bus

You can install using 'npm i use-bus' or download it from GitHub, npm.

Support

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