reserve-data | Kyber Reserve core component that helps manage reserves | Blockchain library

 by   KyberNetwork Go Version: v3.0.10 License: MIT

kandi X-RAY | reserve-data Summary

kandi X-RAY | reserve-data Summary

reserve-data is a Go library typically used in Blockchain, Ethereum, Bitcoin applications. reserve-data has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repo is contains two components:. (For more detail, find ReserveStat interface in interfaces.go).
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            kandi-support Support

              reserve-data has a low active ecosystem.
              It has 58 star(s) with 29 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 11 have been closed. On average issues are closed in 52 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of reserve-data is v3.0.10

            kandi-Quality Quality

              reserve-data has no bugs reported.

            kandi-Security Security

              reserve-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              reserve-data is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              reserve-data releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            reserve-data Key Features

            No Key Features are available at this moment for reserve-data.

            reserve-data Examples and Code Snippets

            Data fetcher for KyberNetwork reserve,Config file
            Godot img1Lines of Code : 22dot img1License : Permissive (MIT)
            copy iconCopy
            {
              "binance_key": "your binance key",
              "binance_secret": "your binance secret",
              "huobi_key": "your huobi key",
              "huobi_secret_key": "your huobi secret",
              "kn_secret": "secret key for people to sign their requests to our apis. It is ignored in d  
            Data fetcher for KyberNetwork reserve,Run the reserve data,Manual
            Godot img2Lines of Code : 3dot img2License : Permissive (MIT)
            copy iconCopy
            cd cmd
            
            KYBER_EXCHANGES="binance,huobi" KYBER_ENV=production ./cmd server --log-to-stdout
            
            KYBER_ENV=production ./cmd server --log-to-stdout --enable-stat --no-core
              
            copy iconCopy
            docker run -p 8000:8000 -v /location/of/config.json:/go/src/github.com/KyberNetwork/reserve-data/cmd/config.json -e KYBER_EXCHANGES="binance,huobi" KYBER_ENV="production" kybernetwork/reserve-data:develop server --log-to-stdout
            
            docker run -p 8000:80  

            Community Discussions

            QUESTION

            Preserve data integrity in a database structure with two paths of association
            Asked 2022-Mar-25 at 08:05

            I have this situation that is as simple as it is annoying.

            The requirements are

            1. Every item must have an associated category.

            2. Every item MAY be included in a set.

            3. Sets must be composed of items of the same category.

            4. There may be several sets of the same category.

            The desired logic procedure to insert new data is as following:

            1. Categories are inserted.

            2. Items are inserted. For each new item, a category is assigned.

            3. Sets of items of the same category are created.

            I'd like to get a design where data integrity between tables is ensured.

            I have come up with the following design, but I can't figure out how to maintain data integrity.

            If the relationship highlighted in yellow is not taken into account, everything is very simple and data integrity is forced by design: an item acquires a category only when it is assigned to a set and the category is given by the set itself.However, it would not be possible to have items not associated with a set but linked to a category and this is annoying.

            I want to avoid using special "bridging sets" to assign a category to an item since it would feel hacky and there is no way to distinguish between real sets and special ones.

            So I introduced the relationship in yellow. But now you can create sets of objects of different categories!

            How can I avoid this integrity problem using only plain constraints (index, uniques, FK) in MySQL?

            Also I would like to avoid triggers as I don't like them as it seems a fragile and not very reliable way to solve this problem...

            I've read about similar question like How to preserve data integrity in circular reference database structure? but I cannot understand how to apply the solution in my case...

            ...

            ANSWER

            Answered 2022-Mar-23 at 23:58

            Interesting scenario. I don't see a slam-dunk 'best' approach. One consideration here is: what proportion of items are in sets vs attached only to categories?

            • What you don't want is two fields on items. Because, as you say, there's going to be data anomalies: an item's direct category being different to the category it inherits via its set.

            • Ideally you'd make a single field on items that is an Algebraic Data Type aka Tagged Union, with a tag saying its payload was a category vs a set. But SQL doesn't support ADTs. So any SQL approach would have to be a bit hacky.

            • Then I suggest the compromise is to make every item a member of a set, from which it inherits its category. Then data access is consistent: always JOIN items-sets-categories.

            • To support that, create dummy sets whose only purpose is to link to a category.

            • To address "there is no way to distinguish between real sets and special ones": put an extra field/indicator on sets: this is a 'real' set vs this is a link-to-category set. (Or a hack: make the set-description as "Category: ".)

            Addit: BTW your "desired logic procedure to insert new data" is just wrong: you must insert sets (Step 3) before items (Step 2).

            Source https://stackoverflow.com/questions/71589781

            QUESTION

            How to ensure the setNames() attributes the correct names to my group_split() datasets when splitting by multiple groups?
            Asked 2022-Feb-18 at 15:49

            As a follow up to this question, I'm using dplyr's group_split() to make dataframes / tibbles based on a levels of a column. Continuing off of this question, I want to split off of two columns instead of 1. When I try to split and name the columns, it attributes the wrong names to some of the datasets.

            Here's a simple example:

            ...

            ANSWER

            Answered 2022-Feb-18 at 15:49

            Instead of splitting by the two columns, use the factor column that was created, which ensures that it splits by the order of the levels created in the type_factor. In addition, using the unique on type_factor can have some issues if the order of the values in 'type_factor' is different i.e. unique gets the first non-duplicated value based on its occurrence. Instead, levels is better. In fact, it may be more appropriate to droplevels as well in case of unused levels.

            Source https://stackoverflow.com/questions/71176077

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

            Vulnerabilities

            No vulnerabilities reported

            Install reserve-data

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/KyberNetwork/reserve-data.git

          • CLI

            gh repo clone KyberNetwork/reserve-data

          • sshUrl

            git@github.com:KyberNetwork/reserve-data.git

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