reserve-data | Kyber Reserve core component that helps manage reserves | Blockchain library
kandi X-RAY | reserve-data Summary
kandi X-RAY | reserve-data Summary
This repo is contains two components:. (For more detail, find ReserveStat interface in interfaces.go).
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reserve-data Key Features
reserve-data Examples and Code Snippets
{
"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
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
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
Trending Discussions on reserve-data
QUESTION
I have this situation that is as simple as it is annoying.
The requirements are
Every
item
must have an associatedcategory
.Every
item
MAY be included in aset
.Sets
must be composed ofitems
of the samecategory
.There may be several
sets
of the same category.
The desired logic procedure to insert new data is as following:
Categories
are inserted.Items
are inserted. For each newitem
, acategory
is assigned.Sets
ofitems
of the samecategory
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 23:58Interesting 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: anitem
's directcategory
being different to thecategory
it inherits via itsset
.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 acategory
vs aset
. 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 aset
, from which it inherits itscategory
. Then data access is consistent: alwaysJOIN
items-sets-categories
.To support that, create dummy
sets
whose only purpose is to link to acategory
.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 theset-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).
QUESTION
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 15:49Instead 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.
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