like_query
For my clients' newly built applications with Turbo, search queries mostly serve two purposes:
- Index view callable by a url like
/customers?find=müller screw
- javascript component / dropdown on the front, in our case built with svelte, which receives a json and renders a table in a dropdown.
This query generator is built for these two purposes
Modules like one of the svelte components mentioned above have a total response time (from pressing a key until the result is rendered) of about 60 msec, while with turbo the same time is mostly around 140-160 msec. The gem itself, from querying the database to producing a hash, has a time of about 3 msec. These results are for small data sets (e.g. 30 records found).
Installation
add
gem "like_query"
to Gemfile
this adds the methods #like
and #generate_hash
to all models.
Config
You can set a default limit by
config.x.like_query.limit = 20
This can be overriden by calling the methods
Usage
#like
customer = Customer.create(name: 'Ambühl')
Article.create(name: 'first', number: '01', customer: customer)
Article.like('fir', :name, :number)
# => <Article:0x00000001067107a8 id: ...>
# => searches by: "where name like '%fir%' or number like '%fir%'"
# => queries are built with Article.arel_table[:name].matches('%fir%')
Article.like('fir ambühl', [:name, :number, customer: :name])
# => :customer is the name of the association
# => first parameter ('fir ambühl') is equal to ['fir', 'ambühl']
# => search-tag as array adds a ".and(where( ... like '%ambühl%'))" for all scoped columns
# => would also find art1
#generate_hash
returns a hash that can easily be transformed by #to_json
for a javascript frontend, for example
customer = Customer.create(name: 'Ambühl')
art1 = Article.create(name: 'first', number: '01', customer: customer)
Article.like('fir', :name).generate_hash(limit: 10)
# returns:
{
data:
[
{
values: ["Müller"],
attributes: {"customer.name": "Müller"},
id: 1,
model: "Article"
},
...
],
length: 4,
overflow: true,
columns_count: 2,
sub_records_columns_count: 0,
image: false,
time: 18.282996
}
Article.like('fir', :name).generate_hash(:number, limit: 10)
# would query like the above example: Search scope is only :name
# but would return article-number instead of article-name inside the data block
#generate_hash
uses LikeQuery::Collect
, functionality is the same.
Enums
class Article < ApplicationRecord
enum type_enum: { 'Wheel': 0, 'Vehicle': 1, 'Truck': 2 }
end
Article.like('Truck', [:type_enum]).count #=> 1
Translated enums and enums on associated models (e.g. article.customer) not yet implemented
Class LikeQuery::Collect
cust = Customer.create(name: 'cust')
Article.create(name: 'screw', customer: cust)
c = LikeQuery::Collect.new(4)
# => 4 is the limit
c.set_schema(Customer, :name)
c.collect(parent: :customer) { Article.like('screw', :name) }
c.generate_json
c.result
# =>
{
"data": [
{
"values": [
"cust"
],
"attributes": {
"name": "cust"
},
"id": 1,
"model": "Customer",
"children": [
{
"values": [
"screw"
],
"attributes": {
"name": "screw"
},
"id": 1,
"model": "Customer.Article",
"parent_id": 1,
}
]
}
],
"length": 2,
"overflow": false,
"columns_count": 1,
"sub_records_columns_count": 0,
"image": false,
"time": 0.0075
}
query schema and result_schema
The resulting hash for a record looks like this:
{
:values => ["abc", "123"],
:id => 456,
:model => "article",
:image => "src:img..."
}
The resulting hash or json is built from the schema, which can look like this:
:number
or
[:number, :name]
or
{
values: [:number, :name],
image: :name_of_a_column_or_method
}
There is a query schema and an output schema. If no output schema is defined, the query schema is used for both.
Article.like('first', :name).generate_hash
# => :values => ["first"]
If an output schema is specified, the result may differ from the search scope:
Article.like('first', :name).generate_hash(:number, :name)
# => :values => ["012", "first"]
The collect class remembers the schema for a model:
c = LikeQuery::Collect.new
c.collect([:name]) { Article.like('x') }
c.collect { Article.like('x') } #=> schema [:name] is used
c.collect { Article.like('x', :number) } # => schema [:number] is used
#set_schema
When a child returns its parent, the schema for the parent must be given.
Otherwise #generate_hash
would not know what values to return.
c = LikeQuery::Collect.new
c.set_schema(Customer, :name)
# => now the customer will be returned with { values: [<name>] }
c.collect(parent: :customer) { Article.like('screw', :name) }
# => this will add the customer (unless it exists in the list) and add the Article as a child to the customer
r = c.generate_hash
There is a :no_action
argument on set_schema
. If set to true, it will return a no_action: true
on regarding models on the resulting json. This is meant for omitting javascript actions or mouse hover effects for resulting records that should do nothing.
url
You can also use the handy Rails url generators to avoid having to build urls tediously with javascript on the frontend:
customer = Customer.create(name: 'Ambühl')
proc1 = proc {|cust| customer_path(cust)}
r = Customer.like('ambühl', :name).generate_hash(:name, url: proc1)
r[:data].first[:url] #=> "/customer/#{customer.id}"
or
customer = Customer.create(name: 'Ambühl')
c = LikeQuery::Collect.new
proc1 = proc {|cust| customer_path(cust)}
c.collect(url: proc1) { Customer.like('ambühl', :name) }
r = c.generate_hash
r[:data].first[:url] #=> "/customer/#{customer.id}"
or
customer = Customer.create(name: 'Ambühl')
art = Article.create(number: 'art-no', customer: customer)
c = LikeQuery::Collect.new
proc1 = proc {|cust| customer_path(cust)}
c.collect(url: proc1) { Customer.like('xyxyxyyxy', :number) }
# remember url although nothing found
proc2 = proc {|article| customer_article_path(article.customer, article) }
c.collect(parent: :customer, url: proc2) { Article.like('art', :number) }
r = c.generate_hash
r[:data].first[:url] #=> "/customer/#{customer.id}"
r[:data].first[:children].first[:url] #=> "/customer/#{customer.id}/article/#{art.id}"
Performance
Values defined by the schema are processed by the #send
method, but recursively.
This means, for example, that for an article
with the given key customer.employees.contact_details.email
in the schema would return the name of the associated customer.
ATTENTION: This can trigger a lot of database queries, depending on your structure or if or which method is behind the called names.
Tests
Tests for this gem, by rspec, are not included in this gem, they can be found in test project
Collaborate with your team
- [ ] Invite team members and collaborators
- [ ] Create a new merge request
- [ ] Automatically close issues from merge requests
- [ ] Enable merge request approvals
- [ ] Set auto-merge
Test and Deploy
Use the built-in continuous integration in GitLab.
- [ ] Get started with GitLab CI/CD
- [ ] Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)
- [ ] Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
- [ ] Use pull-based deployments for improved Kubernetes management
- [ ] Set up protected environments
Hope this helps
I created this only for one of my customers. If it may help others, i am happy.