[
https://issues.apache.org/jira/browse/GROOVY-8258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Daniel Sun updated GROOVY-8258:
-------------------------------
Description:
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*
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}
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}
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}
h4. 4.1
{code:java}
from p of persons
groupby p.gender
select p.gender, max(p.age)
{code}
h4. TODO
was:
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*
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}
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}
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. TODO
> [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
> 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*
> 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}
> 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}
> 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}
> h4. 4.1
> {code:java}
> from p of persons
> groupby p.gender
> select p.gender, max(p.age)
> {code}
> h4. TODO
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