SV.Db.Analyzers 0.0.2.6

sv.db

slothful vic try make db code be sloth flash, because vic lazy, so it can not be fastest, but maybe like flash

What can sv.db do

1. db to entity

Like DapperAOT, use Source Generators generating the necessary code during build to help you use sql more easy.

And Theoretically, you also can do Native AOT deployment

Code exmples:

public async Task<object> OldWay()
{
    var a = factory.GetConnection(StaticInfo.Demo);
    using var dd = await a.ExecuteReaderAsync("""
SELECT count(1)
FROM Weather;
SELECT *
FROM Weather;
""");
    var t = await dd.QueryFirstOrDefaultAsync<int>();
    var r = await dd.QueryAsync<string>().ToListAsync();
    return new { TotalCount = t, Rows = r };
}

2. make select more easy and more complex condition

With define some simple rules for select, we can convert select to db / api / es ....

Theoretically, we can do like:

http query string / body  |------>  select statement    |------>  db (sqlite / mysql/ sqlserver / PostgreSQL)
Expression code           |------>                      |------>  es
                                                        |------>  mongodb
                                                        |------>  more .....

So we can use less code to do some simple select

2.1 complex condition and page for api

Code exmples:

[HttpGet]
public async Task<object> Selects()
{
    return await this.QueryByParamsAsync<Weather>();
}

[Db("Demo")]
[Table(nameof(Weather))]
public class Weather
{
    [Select]
    public string Name { get; set; }

    [Select(Field = "Value")]
    public string V { get; set; }
}

You can use such query string to query api

curl --location 'http://localhost:5259/weather?where=not (name like '%e%')&TotalCount=true'

Response

{
    "totalCount": 1,
    "rows": [
        {
            "name": "H",
            "v": "mery!"
        }
    ]
}

2.2 complex condition and page for Expression code

Code exmples:

You can use such code to query Weather which name no Contains 'e'

[HttpGet("expr")]
public async Task<object> DoSelects()
{
    return await factory.From<Weather>().Where(i => !i.Name.Like("e")).WithTotalCount().ExecuteQueryAsync<dynamic>();
}

[Db("Demo")]
[Table(nameof(Weather))]
public class Weather
{
    [Select]
    public string Name { get; set; }

    [Select(Field = "Value as v")]
    public string V { get; set; }
}

Doc

Query in api

Both has func support use query string or body to query

body or query string will map to Dictionary<string, string> to handle

operater

such filter operater just make api more restful (Where=urlencode(complex condition) will be more better)

• {{nl}} is null
  • query string ?name={{nl}}
  • body {"name":"{{nl}}"}
• {{eq}} Equal =
  • query string ?name=xxx
  • body {"name":"xxx"}
• {{lt}} LessThan or Equal ⇐
  • query string ?age={{lt}}30
  • body {"age":"{{lt}}30"}
• {{le}} LessThan <
  • query string ?age={{le}}30
  • body {"age":"{{le}}30"}
• {{gt}} GreaterThan or Equal >=
  • query string ?age={{gt}}30
  • body {"age":"{{gt}}30"}
• {{gr}} GreaterThan >
  • query string ?age={{gr}}30
  • body {"age":"{{gr}}30"}
• {{nq}} Not Equal !=
  • query string ?age={{nq}}30
  • body {"age":"{{nq}}30"}
• {{lk}} Prefix Like 'e%'
  • query string ?name={{lk}}e
  • body {"name":"{{lk}}e"}
• {{rk}} Suffix Like '%e'
  • query string ?name={{rk}}e
  • body {"name":"{{rk}}e"}
• {{kk}} Like '%e%'
  • query string ?name={{kk}}e
  • body {"name":"{{kk}}e"}
• {{in}} in array (bool/number/string)
  • query string ?name={{in}}[true,false]
  • body {"name":"{{in}}[\"s\",\"sky\"]"}
• {{no}} not
  • query string ?age={{no}}{{lt}}30
  • body {"age":"{{no}}{{lt}}30"}

Func Fields:

• Fields return some Fields , no Fields or Fields=* is return all
  • query string ?Fields=name,age,json(data,'$.age')
  • body {"Fields":"name,age,json(data,'$.age')"}
• TotalCount return total count
  • query string ?TotalCount=true
  • body {"TotalCount":"true"}
• NoRows no return rows
  • query string ?NoRows=true
  • body {"NoRows":"true"}
• Offset Offset Rows index
  • query string ?Offset=10
  • body {"Offset":10}
• Rows Take Rows count, default is 10
  • query string ?Rows=100
  • body {"Rows":100}
• OrderBy sort result
  • query string ?OrderBy=name asc,age desc,json(data,'$.age') desc
  • body {"OrderBy":"name asc,age desc,json(data,'$.age') desc"}
• GroupBy GroupBy result, it will ingore OrderBy/Offset/Rows
  • func support : count(field,as) min(field,as) max(field,as) sum(field,as)
  • query string ?&groupby=name&fields=count(name,count),name
  • body {"GroupBy":"name","Fields":"count(name,count),name"}
• Where complex condition filter
  • query string ?Where=urlencode( not(name like 'H%') or name like '%v%' )
  • body {"Where":"not(name like 'H%') or name like '%v%'"}
  • operaters
    • bool
      • example true or false
    • number
      • example 12323 or 1.324 or -44.4
    • string
      • example 'sdsdfa' or 'sds\'dfa' or "dsdsdsd" or "fs\"dsf"
    • = null is null
      • example name = null
    • != null is not null
      • example name != null
    • = Equal
      • example name = 'sky'
    • <= LessThan or Equal
      • example age <= 30
    • < LessThan
      • example age < 30
    • >= GreaterThan or Equal
      • example age >= 30
    • > GreaterThan
      • example age > 30
    • != Not Equal
      • example age != 30
    • like 'e%' Prefix Like
      • example name like 'xx%'
    • like '%e' Suffix Like
      • example name like '%xx'
    • like '%e%' Like
      • example name like '%xx%'
    • in () in array (bool/number/string)
      • example in (1,2,3) or in ('sdsdfa','sdfa') or in (true,false)
    • not
      • example not( age <= 30 )
    • and
      • example age <= 30 and age > 60
    • or
      • example age <= 30 or age > 60
    • ()
      • example (age <= 30 or age > 60) and name = 'killer'
  • support json
    • example json(data,'$.age') > 60