Lightweight SQL calculation engine, as the SQL layer of KipDB, implemented with TalentPlan's TinySQL as the reference standard

kip-sql = "0.0.1-alpha.0"

Install rust toolchain first.

cargo run

test command

create table t1 (a int primary key, b int);

insert into t1 (a, b) values (1, 1), (5, 3), (6, 2);

update t1 set a = 0 where b > 1;

delete from t1 where b > 1;

select * from t1;

select * from t1 order by a asc nulls first

select count(distinct a) from t1;

truncate table t1;

drop table t1;

Using KipSQL in code

let kipsql = Database::with_kipdb("./data").await?;

let tupes = db.run("select * from t1").await?;

Storage Support:

• KipDB
• Memory

• ORM Mapping

#[derive(Debug, Clone, Default)]
pub struct Post {
    pub post_title: String,
    pub post_date: NaiveDateTime,
    pub post_body: String,
}

implement_from_tuple!(Post, (
    post_title: String => |post: &mut Post, value: DataValue| {
        if let Some(title) = value.utf8() {
            post.post_title = title;
        }
    },
    post_date: NaiveDateTime => |post: &mut Post, value: DataValue| {
        if let Some(date_time) = value.datetime() {
            post.post_date = date_time;
        }
    },
    post_body: String => |post: &mut Post, value: DataValue| {
        if let Some(body) = value.utf8() {
            post.post_body = body;
        }
    }
));

• SQL field options
  • not null
  • null
  • unique
• Supports index type
  • Unique Index
• Supports multiple primary key types
  • Tinyint
  • UTinyint
  • Smallint
  • USmallint
  • Integer
  • UInteger
  • Bigint
  • UBigint
  • Varchar
• DDL
  • Create
    • Table
    • Index
  • Drop
    • Table
    • Index
  • Truncate
• DQL
  • Select
    • SeqScan
    • IndexScan
  • Where
  • Distinct
  • Alias
  • Aggregation: count()/sum()/avg()/min()/max()
  • Subquery
  • Join: Inner/Left/Right/Full Cross(x)
  • Group By
  • Having
  • Order By
  • Limit
• DML
  • Insert
  • Insert Overwrite
  • Update
  • Delete
• DataTypes
  • Invalid
  • SqlNull
  • Boolean
  • Tinyint
  • UTinyint
  • Smallint
  • USmallint
  • Integer
  • UInteger
  • Bigint
  • UBigint
  • Float
  • Double
  • Varchar
  • Date
  • DateTime
• Optimizer rules
  • Limit Project Transpose
  • Eliminate Limits
  • Push Limit Through Join
  • Push Limit Into Scan
  • Combine Filters
  • Column Pruning
  • Collapse Project

• Fedomn/sqlrs: 主要参考资料，Optimizer、Executor均参考自sqlrs的设计
• systemxlabs/bustubx