[jira] [Assigned] (GROOVY-8258) [GEP] Create a LINQ-like DSL

["Daniel Sun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/GROOVY-8258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Daniel Sun reassigned GROOVY-8258:
----------------------------------

    Assignee: Daniel Sun

> [GEP] Create a LINQ-like DSL
> ----------------------------
>
>                 Key: GROOVY-8258
>                 URL: https://issues.apache.org/jira/browse/GROOVY-8258
>             Project: Groovy
>          Issue Type: Improvement
>            Reporter: Daniel Sun
>            Assignee: Daniel Sun
>            Priority: Major
>
> h2. *Ⅰ. Introduction*
> GINQ DSL is an alternative solution of GINQ, it is a simplified version of GINQ(GROOVY-9159) and will be implemented as a module "groovy-linq".
> GINQ DSL is wrapped with:
> {code:java}
> ginq {
>    // GINQ code
> }
> {code}
> h2. *Ⅱ. Sample code related to GROOVY-9159*
> h3. 1. Filtering
> h4. 1.1
> {code:java}
> from p of persons
> where p.age > 15 && p.age <= 35
> select p.name
> {code}
> h4. 1.2
> {code:java}
> from p of persons
> where p.age > 15 && p.age <= 35
> select p
> {code}
> h4. 1.3
> {code:java}
> from t of numbers 
> where t <= 2
> select t
> {code}
> h3. 2. Joining
> h4. 2.1
> {code:java}
> from p of persons
> innerjoin c of cities
> on p.city.name == c.name
> select p.name, c.name
> {code}
> h4. 2.2
> {code:java}
> from p of persons
> from c of cities
> where p.city.name == c.name
> select p.name, c.name
> {code}
> h4. 2.3
> {code:java}
> from p of persons
> from c of cities
> where p.city == c
> select p.name
> {code}
> h4. 2.4
> {code:java}
> from p of persons
> leftjoin c of cities
> on p.city.name == c.name //  same with left outer join
> select p.name, c.name
> {code}
> h4. 2.5
> {code:java}
> from p of persons
> rightjoin c of cities
> on p.city.name == c.name //  same with right outer join
> select p.name, c.name
> {code}
> h3. 3. Projection
> h4. 3.1
> {code:java}
> from p of persons
> select p.name
> {code}
> h4. 3.2
> {code:java}
> from p of persons
> select p.name, p.age
> {code}
> h4. 3.3
> {code:java}
> from p of persons
> select [name: p.name, age: p.age]
> {code}
> h4. 3.4
> {code:java}
> from p of persons
> select new Person(name: p.name, age: p.age)
> {code}
> h4. 3.5
> {code:java}
> from p of persons
> select p
> {code}
> h3. 4. Grouping
> h4. 4.1
> {code:java}
> from p of persons
> groupby p.gender
> select p.gender, max(p.age)
> {code}
> h3. 5. Having
> h4. 5.1
> {code:java}
> from p of persons
> groupby p.gender
> having p.gender == 'Male'
> select p.gender, max(p.age)
> {code}
> h3. 6. Sorting
> h4. 6.1
> {code:java}
> from p of persons
> orderby p.age
> select p.name
> {code}
> h4. 6.2
> {code:java}
> from p of persons
> orderby p.age desc
> select p.name
> {code}
> h4. 6.3
> {code:java}
> from p of persons
> orderby p.age desc
> thenby p.name asc // asc is optional
> select p.name
> {code}
> h3. 7. Pagination
> h4. 7.1
> {code:java}
> from n of numbers
> limit 2, 5
> select n
> {code}
> h4. 7.2
> {code:java}
> from n of numbers
> limit 5
> select n
> {code}
> h3. 8. Nested Queries
> h4. 8.1
> {code:java}
> from v of (
>     from n of numbers
>     where n <= 5
>     select n
> )
> limit 2, 5
> select v
> {code}
> h3. 9. WITH-Clause
> h4. 9.1
> {code:java}
> with v as (
>     from n of numbers
>     where n <= 5
>     select n
> )
> from v
> limit 2, 5
> select v
> {code}
> h3. 10. Union
> h4. 10.1
> {code:java}
> from n of numbers1
> select n
> unionall
> from n of numbers2
> select n
> {code}
> h4. 10.2
> {code:java}
> from n of numbers1
> select n
> union
> from n of numbers2
> select n
> {code}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)