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You can do this any way you'd like: through the web admin, in Application.cfc
, or using cfconfig.
Make sure to set this.datasource
in your Application.cfc
so Quick knows which datasource to use.
The easiest way to download quick is to use forgebox with commandbox. Just run the following from the root of your application:
box install quick
quick
in your Application.cfc
For a default installation in a ColdBox template, the following line will do the trick.
this.mappings[ "/quick" ] = COLDBOX_APP_ROOT_PATH & "/modules/quick";
defaultGrammar
in config/ColdBox.cfc
Quick will auto discover your grammar by default on startup. To avoid this check, set a BaseGrammar
.
BaseGrammar
is a module setting for Quick. Set it in your config/ColdBox.cfc
like so:
Valid options are any of the qb supported grammars. At the time of writing valid grammar options are: MySQLGrammar, PostgresGrammar, MSSQLGrammar and OracleGrammar. Please check the qb docs for additional options.
If you want to use a different datasource and/or grammar for individual entitities you can do so by adding some metadata attributes to your entities.
Quick was built out of lessons learned and persistent challenges in developing complex RDBMS applications using built-in Hibernate ORM in CFML.
Hibernate ORM error messages often obfuscate the actual cause of the error
because they are provided directly by the Java classes.
Complex CFML Hibernate ORM applications can consume significant memory and
processing resources, making them cost-prohibitive and inefficient when used
in microservices architecture.
Hibernate ORM is tied to the engine releases. This means that updates come
infrequently and may be costly for non-OSS engine users.
Hibernate ORM is built in Java. This limits contributions from CFML
developers who don't know Java or don't feel comfortable contributing to a
Java project.
Hibernate ORM doesn't take advantage of a lot of dynamic- and
meta-programming available in CFML. (Tools like CBORM have helped to bridge
this gap.)
We can do better.
Quick is an ORM (Object Relational Mapper) written in CFML for CFML. It provides an ActiveRecord implementation for working with your database. With it you can map database tables to components, create relationships between components, query and manipulate data, and persist all your changes to your database.
You need the following configured before using Quick:
Configure a default datasource in your CFML engine
ColdBox 4.3+
Add a mapping for quick
in your Application.cfc
Configure your BaseGrammar
in config/ColdBox.cfc
See Getting Started for more details.
Quick supports all databases supported by qb.
Here's a "quick" example to whet your appetite.
We'll show the database structure using a migrations file. This isn't required to use quick
, but it is highly recommended.
Now that you've seen an example, dig in to what you can do with Quick!
Quick is backed by qb. Without qb, there is no Quick.
Quick is inspired heavily by Eloquent in Laravel. Thank you Taylor Otwell and the Laravel community for a great library.
Development of Quick is sponsored by Ortus Solutions. Thank you Ortus Solutions for investing in the future of CFML.
To get started with Quick, you need an entity. You start by extending quick.models.BaseEntity
.
Alternatively, you can use the quick
virtual inheritance mapping in ColdBox 5.2+.
Both are equivalent, so use the one you prefer. That's all that is needed to get started with Quick. There are a few defaults of Quick worth mentioning here.
We don't need to tell Quick what table name to use for our entity. By default, Quick uses the pluralized name of the component for the table name. That means for our User
entity Quick will assume the table name is users
. You can override this by specifying a table
metadata attribute on the component.
By default, Quick assumes a primary key of id
. The name of this key can be configured by setting variables._key
in your component.
Quick also assumes a key type that is auto-incrementing. If you would like a different key type, define a function called `keyType` and return the key type from that function.
Quick ships with the following key types:
AutoIncrementingKeyType
NullKeyType
ReturningKeyType
UUIDKeyType
keyType
can be any component that adheres to the keyType
interface, so feel free to create your own and distribute them via ForgeBox.
You specify what columns are retrieved by adding properties to your component.
Now, only the id
, username
, and email
columns will be retrieved.
Note: Make sure to include the primary key (
id
by default) as a property.
To prevent Quick from mapping a property to the database add the persistent="false"
attribute to the property.
If the column name in your table is not the column name you wish to use in quick, you can alias it using the column
metadata attribute.
To work around CFML's lack of null
, you can use the nullValue
and convertToNull
attributes.
nullValue
defines the value that is considered null
for a property. By default it is an empty string. (""
)
convertToNull
is a flag that, when false, will not try to insert null
in to the database. By default this flag is true
.
The readOnly
attribute will prevent setters, updates, and inserts to a property when set to true
.
In some cases you will need to specify an exact SQL type for your property. Any value set for the sqltype
attribute will be used when inserting or updating the property in the database.
The casts
attribute allows you to use a value in your CFML code as a certain type while being a different type in the database. A common example of this is a boolean
which is usually represented as a BIT
in the database.
Currently, only boolean
is supported as a cast type.
You can prevent inserting and updating a property by setting the insert
or update
attribute to false
.
Once you have an entity and its associated database table you can start retrieving data from your database.
You start every interaction with Quick with an instance of an entity. The easiest way to do this is using WireBox. getInstance
is available in all handlers by default. WireBox can easily be injected in to any other class you need using inject="wirebox"
.
Quick is backed by qb, a CFML Query Builder. With this in mind, think of retrieving records for your entities like interacting with qb. For example:
In addition to using for
you can utilize the each
function on arrays. For example:
You can add constraints to the query just the same as you would using qb directly:
A second way to retrieve results is to use a Quick Service. It is similar to a VirtualEntityService
from cborm.
The easiest way to create a Quick Service is to inject it using the quickService:
dsl:
Any method you can call on an entity can be called on the service:
Calling qb's aggregate methods (count
, max
, etc.) will return the appropriate value instead of an entity or collection of entities.
There are a few custom retrieval methods for Quick:
Retrieves all the records for an entity. Calling all
will ignore any constraints on the query.
These two methods will throw a EntityNotFound
exception if the query returns no results.
The findOrFail
method should be used in place of find
, passing an id in to retrieve.
The firstOrFail
method should be used in place of first
, being called after constraining a query.
New Quick entities can be created and persisted to the database by creating a new entity instance, setting the attributes on the entity, and then calling the save
method.
When we call save
, the record is persisted from the database and the primary key is set to the auto-generated value (if any).
Another option is to use the create
method. This method accepts a struct of data and creates a new instance with the data specified.
Updates are handled identically to inserts when using the save
method. The only difference is that instead of starting with a new entity, we start with an existing entity.
You can update multiple fields at once using the update
method. This is similar to the create
method for creating new entities.
There is no need to call save
when using the update
method.
By default, if you have a key in the struct that doesn't match a property in the entity the update
method will fail. If you add the optional argument ignoreNonExistentAttributes
set to true
, those missing keys are ignored. Now you can pass the rc
scope from your submitted form directly into the update
method and not worry about any other keys in the rc
like event
that would cause the method to fail.
Updates can be performed against any number of entities that match a given query.
Quick 2.0 brings with it a lot of changes to make things more flexible and more performant. This shouldn't take too long — maybe 2-5 minutes per entity.
There were some common name clashes between internal Quick properties and custom attributes of your entities (the most common being fullName
). All Quick internals have been obfuscated to avoid this situation. If you relied on these properties, please consult the following table below for the new property names.
If you are renaming your primary keys in your entities, you will have to change your key definition from variables.key = "user_id";
to variables._key
= "user_id";
See for details.
Additionally, some method names have also changed to avoid clashing with automatically generated getters and setters. Please consult the table below for method changes.
Lastly, the following properties and methods have been removed:
Key Types are the way to define setting and retrieving a primary key in Quick. In Quick 1.0 these were injected in to the component. This made reusability hard for simple things like sequence names. In order to allow for more flexible key types, key types are no longer injected. Instead, they should be returned from a keyType
method.
The keyType
is lazily created and cached on the component, so this is both a more flexible approach as well as being more performant. If you are injecting custom key types in your entities you will need to move them to the method syntax.
A few key types have been renamed and will need to be updated in your codebase:
In additional to the changes to defining key types, there is a few new key types introduced in Quick 2.0.
ReturningKeyType
Used with grammars that return their primary key in the query response when inserting to the database. An example of this is NEWSEQUENTIALID
in Microsoft SQL Server.
The way arguments are passed to scopes have been updated to allow for default arguments. query
is still the first argument. Other arguments will be passed in order after that. The args
struct is no longer passed.
Additionally, the alternative syntax for defining relationships on a relationships
struct has been removed. It created an unnecessary code path that had it's own share of bugs. All relationships should be defined as methods on the entity.
CFCollection was included in Quick 1.0 as both a way to lazily eager load a relationship and as a compatibility layer for older CF versions. The compatibility that CFCollection provides, however, comes with a performance cost. Additionally, the majority of users wanted to use plain arrays as the return format. For those reasons, arrays are now the default return format for collections. CFCollections can still be used by specifying a different return format in the module settings.
Null is a tricky thing in CFML. The same goes for interacting with nulls in a database. By default, we will support the CFML convention of using an empty string to represent null. When interacting with the database empty strings will be converted to nulls. You can adjust this behavior on the property level with two new annotations:
convertToNull
- Determines if the property will be automatically checked to convert to null at all. Defaults to true
.
nullValue
- This is the value that is equivalent to null for this property. Defaults to an empty string.
In an effort to avoid dealing with CFML's version of null
, Quick originally returned unloaded entities. You could check if an entity was loaded using the isLoaded
method. This doesn't make as much sense as null
however and even made it more difficult to interact with other libraries. Now Quick will return null when it encounters an empty query result either from a retrieval or from a belongsTo
or hasOne
relationship. Any instances that you were checking isLoaded
should be updated. isLoaded
will continue to exist for when you are creating a new entity not from the database.
The default grammar for Quick is now AutoDiscover
. This provides a better first run experience. The grammar can still be set in the moduleSettings
.
As a new way to interact with Quick, you can use Quick Services to interact with your entities in a service-oriented fashion. These are equivalent to VirtualEntityServices
in cborm.
The easiest way to use a Quick Service is to use the quickService:
injection dsl.
All methods available on the Quick entity are available on the service.
Column aliases can now be used in queries. They will be transformed to columns before executing the query.
If you pass a Quick entity to a setter method the entity's keyValue
value will be passed.
Columns can be prevented from being inserted or updated using property attributes — insert="false"
and update="false"
.
Quick no longer automatically validates entities before saving them. Having cbvalidation baked in made it hard to extend it. If desired, validation can be added back in using Quick's lifecycle hooks.
instanceReady
Lifecycle MethodQuick now announces an instanceReady
event after the entity has gone through dependency injected and had its metadata inspected. This can be used to hook in other libraries, like cbvalidation
and mementifier
.
You can automatically cast a property to a boolean value while retrieving it from the database and back to a bit value when serializing to the database by setting casts="boolean"
on the property.
Quick handles formula, computed, or subselect properties using query scopes and the addSubselect
helper method.
Quick uses a default datasource and default grammar, as described . If you are using multiple datasources you can override default datasource by specifying a datasource
metadata attribute on the component. If your extra datasource has a different grammar you can override your grammar as well by specifying a grammar
attribute.
At the time of writing Valid grammar options are: MySQLGrammar
, PostgresGrammar
, MSSQLGrammar
and OracleGrammar
. Please check the for additional options.
For more information on what is possible with qb, check out the .
The relationship methods are still named the same but some of the arguments have been changed to fix bugs and support better eager loading performance. Please for more details.
Eager loading is now supported for nested relationships using a dot-separated syntax. Additionally, constraints can be added to an eager loaded relationship. See the for more information.
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A hasOne
relationship is a "one-to-one" relationship. For instance, a User
entity might have an UserProfile
entity attached to it.
The first value passed to hasOne
is a WireBox mapping to the related entity.
Quick determines the foreign key of the relationship based on the entity name and key values. In this case, the UserProfile
entity is assumed to have a userId
foreign key. You can override this by passing a foreign key in as the second argument:
If your parent entity does not use id
as its primary key, or you wish to join the child entity to a different column, you may pass a third argument to the belongsTo
method specifying your parent table's custom key.
The inverse of hasOne
is belongsTo
. It is important to choose the right relationship for your database structure. hasOne
assumes that the related model has the foreign key for the relationship.
Relationships are the heart of any ORM engine. They let you interact with relational database tables in an object-oriented way.
Quick's relationship engine provides readable relationship types, extendible relations at runtime, eager loading, and much more.
Start by checking out the different relationship types.
You can delete an entity by calling the delete
method on it.
Note: The entity will still exist in any variables you have stored it in, even though it has been deleted from the database.
Just like updateAll
, you can delete many records from the database by specifying a query with constraints and then calling the deleteAll
method.
Additionally, you can pass in an array of ids to deleteAll
to delete only those ids.
A hasMany
relationship is a one-to-many
relationship. For instance, a User
may have multiple Posts
.
The first value passed to hasMany
is a WireBox mapping to the related entity.
Quick determines the foreign key of the relationship based on the entity name and key values. In this case, the Post
entity is assumed to have a userId
foreign key. You can override this by passing a foreign key in as the second argument:
If your parent entity does not use id
as its primary key, or you wish to join the child entity to a different column, you may pass a third argument to the belongsTo
method specifying your parent table's custom key.
The inverse of hasMany
is also belongsTo
.
There are two ways to add an entity to a hasMany
relationship. Both mirror the insert API for entities.
You can call the save
method on the relationship passing in an entity to relate.
This will add the User
entity's id as a foreign key in the Post
and save the Post
to the database.
Note: the
save
method is called on theposts
relationship, not thegetPosts
collection.
You can also add many entities in a hasMany
relationship by calling saveMany
. This method takes an array of key values or entities and will associate each of them with the base entity.
Use the create
method to create and save a related entity directly through the relationship.
This example will have the same effect as the previous example.
Removing a hasMany
relationship is handled in two ways: either by using the dissociate
method on the belongsTo
side of the relationship or by deleting the belongsTo
side of the relationship.
You can also influence the associated entities by calling "set" & relationshipName
and passing in an array of entities or key values.
After running this code, this user would only have two posts, the posts with ids 2
and 4
. Any other posts would now be disassociated with this user. Likely your database will be guarding against creating these orphan records. Admittedly, this method is not as likely to be used as the others, but it does exist if it solves your use case.
Query scopes are a way to encapsulate query constraints in your entities while giving them readable names .
For instance, let's say that you need to write a report for subscribers to your site. Maybe you track subscribers in a users
table with a boolean flag in a subscribed
column. Additionally, you want to see the oldest subscribers first. You keep track of when a user subscribed in a subscribedDate
column. Your query might look as follows:
Now nothing is wrong with this query. It retrieves the data correctly and you continue on with your day.
Later, you need to retrieve a list of subscribed users for a different part of the site. So, you write a query like this:
We've duplicated the logic for how to retrieve active users now. If the database representation changed, we'd have to change it in multiple places. For instance, what if instead of keeping track of a boolean flag in the database, we just checked that the subscribedDate
column wasn't null?
Now we see the problem. Let's look at the solution.
The key here is that we are trying to retrieve subscribed users. Let's add a scope to our User
entity for subscribed
:
Now, we can use this scope in our query:
We can use this on our first example as well, for our report.
We've successfully encapsulated our concept of a subscribed user!
We can add as many scopes as we'd like. Let's add one for longestSubscribers
.
Now our query is as follows:
Best of all, we can reuse those scopes anywhere we see fit without duplicating logic.
All query scopes are methods on an entity that begin with the scope
keyword. You call these functions without the scope
keyword (as shown above).
Each scope is passed the query
, a reference to the current QueryBuilder
instance, as the first argument. Any other arguments passed to the scope will be passed in order after that.
Occasionally, you want to apply a scope to each retrieval of an entity. An example of this is an Admin entity which is just a User entity with a type of admin. Global Scopes can be registered in the applyGlobalScopes
method on an entity. Inside this entity you can call any number of scopes:
These scopes will be applied to the query without needing to call the scope again.
If you have a global scope applied to an entity that you need to temporarily disable, you can disable them individually using the withoutGlobalScope
method:
Subselects are a useful way to grab data from related tables without having to execute the full relationship. Sometimes you just want a small piece of information like the last_login_date
of a user, not the entire Login
relationship. Subselects are perfect for this use case. You can even use subselects to provide the correct key for subselect relationships. We'll show how both work here.
Quick handles subselect properties (or computed or formula properties) through query scopes. This allows you to dynamically include a subselect. If you would like to always include a subselect, add it to your entity's list of global scopes.
Here's an example of grabbing the last_login_date
for a User:
We'd add this subselect by calling our scope:
We can even constrain our User
entity based on the value of the subselect, so long as we've called the scope adding the subselect first (or made it a global scope).
Or add a new scope to User
based on the subselect:
In this example, we are using the addSubselect
helper method. Here is that function signature:
You might be wondering why not use the logins
relationship? Or even logins().latest().limit( 1 ).get()
? Because that executes a second query. Using a subselect we get all the information we need in one query, no matter how many entities we are pulling back.
Subselects can be used in conjunction with relationships to provide a dynamic, constrained relationship. In this example we will pull the latest post for a user.
This can be executed as follows:
As you can see, we are loading the id of the latest post in a subquery and then using that value to eager load the latestPost
relationship. This sequence will only execute two queries, no matter how many records are loaded.
A polymorphicHasMany
relationship is a one-to-many
relationship. This relationship is used when an entity can belong to multiple types of entities. The classic example for this type of relationship is Posts
, Videos
, and Comments
.
The first value passed to polymophicHasMany
is a WireBox mapping to the related entity.
The second value is a prefix
for the polymorphic type. A common convention where is to add able
to the end of the entity name, though this is not automatically done. In our example, this prefix is commentable
. This tells quick to look for a commentable_type
and a commentable_id
column in our Comment
entity. It stores our entity's mapping as the _type
and our entity's primary key value as the _id
.
The inverse of polymophicHasMany
is polymorphicBelongsTo
.
A belongsTo
relationship is a many-to-one
relationship. For instance, a Post
may belong to a User
.
The first value passed to belongsTo
is a WireBox mapping to the related entity.
Quick determines the foreign key of the relationship based on the entity name and key values. In this case, the Post
entity is assumed to have a userId
foreign key. You can override this by passing a foreign key in as the second argument:
If your parent entity does not use id
as its primary key, or you wish to join the child entity to a different column, you may pass a third argument to the belongsTo
method specifying your parent table's custom key.
The inverse of belongsTo
is or .
To update a belongsTo
relationship, use the associate
method. associate
takes the entity to associate as the only argument.
Note:
associate
does not automatically save the entity. Make sure to callsave
when you are ready to persist your changes to the database.
To remove a belongsTo
relationship, use the dissociate
method.
Note:
dissociate
does not automatically save the entity. Make sure to callsave
when you are ready to persist your changes to the database.
You can also influence the associated entities by calling "set" & relationshipName
and passing in an entity or key value.
After executing this code, the post would be updated in the database to be associated with the user with an id of 1
.
Relationships can be used in two ways.
The first is as a getter. Calling user.getPosts()
will execute the relationship, cache the result, and return it.
The second is as a relationship. Calling user.posts()
returns a Relationship
instance to retrieve the posts that can be further constrained. A Relationship
is backed by qb as well, so feel free to call any qb method to further constrain the relationship.
You can also call the other Quick fetch methods: first
, firstOrFail
, find
, and findOrFail
are all supported. This is especially useful to constrain the entities available to a user by using the user's relationships:
A polymorphicBelongsTo
relationship is a many-to-one
relationship. This relationship is used when an entity can belong to multiple types of entities. The classic example for this type of relationship is Posts
, Videos
, and Comments
. For instance, a Comment
may belong to a Post
or a Video
.
The only value passed to polymorphicBelongsTo
is a prefix
for the polymorphic type. A common convention where is to add able
to the end of the entity name, though this is not automatically done. In our example, this prefix is commentable
. This tells quick to look for a commentable_type
and a commentable_id
column in our Comment
entity. It stores our entity's mapping as the _type
and our entity's primary key value as the _id
.
When retrieving a polymorphicBelongsTo
relationship the _id
is used to retrieve a _type
from the database.
The inverse of polymorphicBelongsTo
is also polymorphicHasMany
. It is important to choose the right relationship for your database structure. hasOne
assumes that the related model has the foreign key for the relationship.
A hasManyThrough
relationship is a many-to-many
relationship. It is used when you want to access a related entity through another entity. The most common example for this is through a pivot table. For instance, a User
may have multiple Permissions
via a UserPermission
entity. This allows you to store additional data on the UserPermission
entity, like a createdDate
.
The first value passed to hasManyThrough
is a WireBox mapping to the related entity.
The second value passed is a WireBox mapping to the intermediate entity.
Quick determines the foreign key of the relationship based on the entity name and key values. In this case, the Permission
entity is assumed to have a permissionId
foreign key. You can override this by passing a foreign key in as the third argument:
The secondKey
is also determined by Quick. It is the foreign key of the current entity for the intermediate entity's table. In our example, this would be userId
, since User
is our entity and it is for the UserPermissions
table. You can override this by passing in the secondKey
as the fourth argument.
Lastly, the localKey
and secondLocalKey
are the primary keys of the entity and the intermediate entities. Usually this is just id
. You can override these as the fifth and sixth argument.
The inverse of hasManyThrough
is also hasManyThrough
. A note that the intermediate entity would use belongsTo
relationships to link back to each side of the hasManyThrough
relationship. These relationships are not needed to use a hasManyThrough
relationship.
Relationship Types
Argument
Type
Required
Default
Description
name
string
true
The name for the subselect. This will be available as an attribute.
subselect
QueryBuilder OR Closure
true
Either a QueryBuilder object or a closure can be provided. If a closure is provided it will be passed a query object as its only parameter. The resulting query object will be used to computed the subselect.
To assist you in migrating from CBORM, Quick ships with a small compatibility shim. To use it, have your entity extend quick.models.CBORMCompatEntity
. This will map common CBORM methods to their Quick counterparts as well as provide a partial CriteriaBuilder shim. The compatibility shim does not cover differences in properties or relationships.
list
countWhere
deleteById
deleteWhere
exists
findAllWhere
findWhere
get
getAll
new
populate
save
saveAll
newCriteria
getSQL
between
eqProperty
isEQ
isGT
gtProperty
isGE
geProperty
idEQ
like
ilike
isIn
isNull
isNotNull
isLT
ltProperty
neProperty
isLE
leProperty
maxResults
firstResult
order
list
get
count
onMissingMethod
Sometimes you want to use a different value in your code than is stored in your database. Perhaps you want to enforce that setting a password always is hashed with BCrypt. Maybe you have a Date value object that you want wrapping each of your dates. You can accomplish this using custom getters and setters.
A custom getter or setter is simply a function in your entity.
To retrieve the attribute value fetched from the database, call retrieveAttribute
passing in the name of the attribute.
To set an attribute for saving to the database, call assignAttribute
passing in the name and the value.
Note: Custom getters and setters with not be called when hydrating a model from the database.
A belongsToMany
relationship is a many-to-many
relationship. For instance, a User
may have multiple Permissions
while a Permission
can belong to multiple Users
.
The first value passed to belongsToMany
is a WireBox mapping to the related entity.
belongsToMany
makes some assumptions about your table structure. To support a many-to-many
relationship, you need a pivot table. This is, at its simplest, a table with each of the foreign keys as columns.
As you can see, Quick uses a convention of combining the entity table names in alphabetical order with an underscore (_
) to create the new pivot table name. If you want to override this convention, you can do so by passing the desired table name as the second parameter or the table
parameter.
Quick determines the foreign key of the relationship based on the entity name and key values. In this case, the User
entity is assumed to have a userId
foreign key and the Permission
entity a permissionId
foreign key. You can override this by passing a foreignKey
in as the third argument and a relatedKey
as the fourth argument:
Finally, if you are not joining on the primary keys of the current entity or the related entity, you can specify those keys using the last two parameters:
The inverse of belongsToMany
is also belongsToMany
. The foreignKey
and relatedKey
arguments are swapped on the inverse side of the relationship.
If you find yourself needing to interact with the pivot table (permissions_users
) in the example above, you can create an intermediate entity, like UserPermission
. You will still be able to access the end of the relationship chain using the hasManyThrough
relationship type.
Use the attach
method to relate two belongsToMany
entities together. attach
can take a single id, a single entity, or an array of ids or entities (even mixed and matched) to associate.
Use the detach
method to remove an existing entity from a belongsToMany
relationship. detatch
can also take a single id, a single entity, or an array of ids or entities (even mixed and matched) to remove.
Sometimes you just want the related entities to be a list you give it. For these situations, use the sync
method.
Now, no matter what relationships existed before, this Post
will only have three tags associated with it.
You can also influence the associated entities by calling "set" & relationshipName
and passing in an entity or key value.
This code calls sync
on the relationship. After executing this code, the post would be updated in the database to be associated with the tags passed in (4
, 12
, and 2
). Any tags that were previously associated with this post would no longer be and only the tags passed in would be associated now.
Let's imagine a scenario where you are displaying a list of posts. You fetch the posts:
And start looping through them:
When you visit the page, though, you notice it takes a while to load. You take a look at your SQL console and you've executed 26 queries for this one page! What?!?
Turns out that each time you loop through a post to display its author's username you are executing a SQL query to retreive that author. With 25 posts this becomes 25 SQL queries plus one initial query to get the posts. This is where the N+1 problem gets its name.
So what is the solution? Eager Loading.
Eager Loading means to load all the needed users for the posts in one query rather than separate queries and then stitch the relationships together. With Quick you can do this with one method call.
You can eager load a relationship with the with
method call.
with
takes one parameter, the name of the relationship to load. Note that this is the name of the function, not the entity name. For example:
To eager load the User in the snippet above you would call pass author
to the with
method.
For this operation, only two queries will be executed:
Quick will then stitch these relationships together so when you call post.getAuthor()
it will use the fetched relationship value instead of going to the database.
You can eager load nested relationships using dot notation. Each segment must be a valid relationship name.
You can eager load multiple relationships by passing an array of relation names to with
or by calling with
multiple times.
In most cases when you want to constrain an eager loaded relationship, the better approach is to create a new relationship.
You can eager load either option.
Occassionally that decision needs to be dynamic. For example, maybe you only want to eager load the posts created within a timeframe defined by a user. To do this, pass a struct instead of a string to the with
function. The key should be the name of the relationship and the value should be a function. This function will accept the related entity as its only argument. Here is an example:
If you need to load nested relationships with constraints you can call with
in your constraint callback to continue eager loading relationships.
Finally, you can postpone eager loading until needed by using the load
method on QuickCollection
. load
has the same function signature as with
. QuickCollection
is the object returned for all Quick queries that return more than one record. Read more about it in Collections.
The memento pattern is an established pattern in ColdBox apps. A memento
in this case is a simple representation of your entity using arrays, structs, and simple values.
For instance, the following example shows a User entity and its corresponding memento:
You can modify the memento by overriding the getMemento
function on your entity.
The $renderData
method is a special method for ColdBox. When returning a model from a handler, this method will be called and the value returned will be used as the serialized response. This let's you simply return an entity from a handler for your API. By default this will call getMemento()
.
QuickCollection
also defines a $renderData
method, which will delegate the call to each entity in the collection and return the array of serialized entities.
There are two ways to debug Quick entities, both by hooking in to qb.
qb logs all queries it runs as debug logs. Configure LogBox to output debug logs for the qb.models.Grammars.BaseGrammar
component to view them.
Additionally, qb announces a preQBExecute
and a postQBExecute
interception point. These interception points contain the sql and bindings being executed. You can hook in to these interception points to enable your own logging.
Collections are an optional add on to Quick. To use collections you need to install cfcollection
and configure it as your returnFormat
.
QuickCollection
is a specialized version of . It is a component that smooths over the various CFML engines to provide an extendible, reliable array wrapper with functional programming methods. You may be familiar with methods like map
(ArrayMap
), filter
(ArrayFilter
), or reduce
(ArrayReduce
). These methods work in every CFML engine with CFCollection
.
Collections are more powerful than plain arrays. There are many methods that can make your work easier. For instance, let's say you needed to group each active user by the first letter of their username in a list.
So powerful! We think you'll love it.
Additionally, QuickCollection
includes a load
method. load
lets you eager load a relationship after executing the initial query.
This is the same as if you had initially executed:
Quick allows you to hook in to multiple points in the entity lifecycle. If the event is on the component, you do not need to prefix it with quick
. If you are listening to an interception point, include quick
at the beginning.
If you create your own Interceptors, they will not fire if you define them in your Main application. quick
will be loaded AFTER your interceptors, so the quick
interception points will not be registered with your interceptor. This can be solved by moving your interceptors to a module with a dependency on quick
, of by also registering the quick
custom interception points in your main coldbox configuration.
Fired after dependency injection has been performed on the entity and the metadata has been inspected.
interceptData
structure
Fired before attempting to load an entity from the database.
This method is only called for
find
actions.
interceptData
structure
Fired after loading an entity from the database.
This method is only called for
find
actions.
interceptData
structure
Fired before saving an entity to the database.
This method is called for both insert and update actions.
interceptData
structure
Fired after saving an entity to the database.
This method is called for both insert and update actions.
interceptData
structure
Fired before inserting an entity into the database.
interceptData
structure
Fired after inserting an entity into the database.
interceptData
structure
Fired before updating an entity in the database.
interceptData
structure
Fired after updating an entity in the database.
interceptData
structure
Fired before deleting a entity from the database.
interceptData
structure
Fired after deleting a entity from the database.
interceptData
structure
QuickCollection
includes a $renderData
method that lets you return a QuickCollection
directly from your handler and translates the results and the entities within to a serialized version. Check out more about it in the chapter.
Key | Description |
entity | The entity loaded |
Key | Description |
id | The id of the entity attempting to be loaded |
metadata | The metadata of the entity |
Key | Description |
entity | The entity loaded |
Key | Description |
entity | The entity to be saved |
Key | Description |
entity | The entity that was saved |
Key | Description |
entity | The entity to be inserted |
Key | Description |
entity | The entity that was inserted |
Key | Description |
entity | The entity to be updated |
Key | Description |
entity | The entity that was updated |
Key | Description |
entity | The entity to be deleted |
Key | Description |
entity | The entity that was deleted |