Query Builder
Sutando query builder provides a convenient, fluent interface to creating and running database queries. It can be used to perform most database operations in your application and works perfectly with all of Sutando's supported database systems.
Sutando query builder allows you to write and execute SQL queries. It is built on top of Knex.js with few opinionated changes.
We have divided the query builders into following categories
- The standard query builder allows you to construct SQL queries for select, update and delete operations.
- The insert query builder allows you to construct SQL queries for the insert operations.
- The raw query builder let you write and execute queries from a raw SQL string.
Running Database Queries
Running SQL Queries
Once you have configured your database connection, you may use the raw
method to run a basic query:
const db = sutando.connection();
const response = await db.raw('SET TIME_ZONE = ?', ['UTC']);
The response will be whatever the underlying SQL library (e.g. mysql2) would normally return in a normal query, so you may want to look at the documentation of the underlying library the query is executing on to determine how to handle the response.
Retrieving All Rows From A Table
You may use the table
method provided by the DB to begin a query. The table
method returns a fluent query builder instance for the given table, allowing you to chain more constraints onto the query and then finally retrieve the results of the query using the get
method:
const db = sutando.connection();
const users = await db.table('users').get();
The get
method returns an array containing the results of the query where each result is an object. You may access each column's value by accessing the column as a property of the object:
const users = await db.table('users').get();
users.map(user => {
console.log(user.name);
})
Retrieving A Single Row / Column From A Table
If you just need to retrieve a single row from a database table, you may use the first
method:
const user = await db.table('users').where('name', 'John').first();
console.log(user.email);
To retrieve a single row by its id
column value, use the find
method:
const user = await db.table('users').find(3);
Retrieving A List Of Column Values
If you would like to retrieve an array containing the values of a single column, you may use the pluck
method. In this example, we'll retrieve a collection of user titles:
const titles = await db.table('users').pluck('title');
titles.map(title => {
console.log(title)
});
Chunking Results
If you need to work with thousands of database records, consider using the chunk
method. This method retrieves a small chunk of results at a time and feeds each chunk into a closure for processing. For example, let's retrieve the entire users
table in chunks of 100 records at a time:
await db.table('users').orderBy('id').chunk(100, users => {
users.map(user => {
// do something...
})
});
You may stop further chunks from being processed by returning false
from the closure:
await db.table('users').orderBy('id').chunk(100, users => {
// Process the records...
return false;
});
Aggregates
The query builder also provides a variety of methods for retrieving aggregate values like count, max
, min
, avg
, and sum
. You may call any of these methods after constructing your query:
const count = await db.table('users').count();
const price = await db.table('orders').max('price');
Of course, you may combine these methods with other clauses to fine-tune how your aggregate value is calculated:
const price = await db.table('orders')
.where('finalized', 1)
.avg('price');
Determining If Records Exist
Instead of using the count
method to determine if any records exist that match your query's constraints, you may use the exists
methods:
const isExists = await table('orders').where('finalized', 1).exists()
if (isExists) {
// ...
}
Select Statements
Specifying A Select Clause
You may not always want to select all columns from a database table. Using the select
method, you can specify a custom "select" clause for the query:
const users = await db.table('users')
.select('name', 'email as user_email')
.get();
The distinct
method allows you to force the query to return distinct results:
const users = await db.table('users').distinct().get();
Raw Expressions
Sometimes you may need to insert an arbitrary string into a query. To create a raw string expression, you may use the raw
method:
const users = await db.table('users')
.select(db.raw('count(*) as user_count, status'))
.where('status', '<>', 1)
.groupBy('status')
.get();
Raw Methods
Instead of using the raw
method, you may also use the following methods to insert a raw expression into various parts of your query. Sutando can not guarantee that any query using raw expressions is protected against SQL injection vulnerabilities.
whereRaw
The whereRaw
methods can be used to inject a raw "where" clause into your query. These methods accept an optional array of bindings as their second argument:
const orders = await db.table('orders')
.whereRaw('price > IF(state = "TX", ?, 100)', [200])
.get();
havingRaw
The havingRaw
and orHavingRaw
methods may be used to provide a raw string as the value of the "having" clause. These methods accept an optional array of bindings as their second argument:
const orders = await db.table('orders')
.select('department', db.raw('SUM(price) as total_sales'))
.groupBy('department')
.havingRaw('SUM(price) > ?', [2500])
.get();
orderByRaw
The orderByRaw
method may be used to provide a raw string as the value of the "order by" clause:
const orders = await db.table('orders')
.orderByRaw('updated_at - created_at DESC')
.get();
groupByRaw
The groupByRaw
method may be used to provide a raw string as the value of the "group by" clause:
const orders = await db.table('orders')
.select('city', 'state')
.groupByRaw('city, state')
.get();
Joins
Inner Join Clause
The query builder may also be used to add join clauses to your queries. To perform a basic "inner join", you may use the join
method on a query builder instance. The first argument passed to the join
method is the name of the table you need to join to, while the remaining arguments specify the column constraints for the join. You may even join multiple tables in a single query:
const users = await db.table('users')
.join('contacts', 'users.id', '=', 'contacts.user_id')
.join('orders', 'users.id', '=', 'orders.user_id')
.select('users.*', 'contacts.phone', 'orders.price')
.get();
Left Join / Right Join Clause
If you would like to perform a "left join" or "right join" instead of an "inner join", use the leftJoin
or rightJoin
methods. These methods have the same signature as the join method:
const users = await db.table('users')
.leftJoin('posts', 'users.id', '=', 'posts.user_id')
.get();
const users = await db.table('users')
.rightJoin('posts', 'users.id', '=', 'posts.user_id')
.get();
Cross Join Clause
You may use the crossJoin
method to perform a "cross join". Cross joins generate a cartesian product between the first table and the joined table:
const sizes = await db.table('sizes')
.crossJoin('colors')
.get();
Advanced Join Clauses
You may also specify more advanced join clauses. To get started, pass a closure as the second argument to the join
method.
await db.table('users')
.join('contacts', () => {
this.on('users.id', '=', 'contacts.user_id').orOn(/* ... */);
})
.get();
Unions
The query builder also provides a convenient method to "union" two or more queries together. For example, you may create an initial query and use the union
method to union it with more queries:
const first = db.table('users')
.whereNull('first_name');
const users = await db.table('users')
.whereNull('last_name')
.union(first)
.get();
In addition to the union
method, the query builder provides a unionAll
method. Queries that are combined using the unionAll
method will not have their duplicate results removed. The unionAll
method has the same method signature as the union
method.
Basic Where Clauses
Where Clauses
You may use the query builder's where
method to add "where" clauses to the query. The most basic call to the where
method requires three arguments. The first argument is the name of the column. The second argument is an operator, which can be any of the database's supported operators. The third argument is the value to compare against the column's value.
For example, the following query retrieves users where the value of the votes
column is equal to 100
and the value of the age
column is greater than 35
:
const users = await db.table('users')
.where('votes', '=', 100)
.where('age', '>', 35)
.get();
For convenience, if you want to verify that a column is = to a given value, you may pass the value as the second argument to the where
method. Sutando will assume you would like to use the =
operator:
const users = await db.table('users').where('votes', 100).get();
As previously mentioned, you may use any operator that is supported by your database system:
const users = await db.table('users')
.where('votes', '>=', 100)
.get();
const users = await db.table('users')
.where('votes', '<>', 100)
.get();
const users = await db.table('users')
.where('name', 'like', 'T%')
.get();
Or Where Clauses
When chaining together calls to the query builder's where
method, the "where" clauses will be joined together using the and
operator. However, you may use the orWhere
method to join a clause to the query using the or
operator. The orWhere
method accepts the same arguments as the where
method:
const users = await db.table('users')
.where('votes', '>', 100)
.orWhere('name', 'John')
.get();
If you need to group an "or" condition within parentheses, you may pass a closure as the first argument to the orWhere
method:
const users = await db.table('users')
.where('votes', '>', 100)
.orWhere(query => {
query.where('name', 'Abigail')
.where('votes', '>', 50);
})
.get();
The example above will produce the following SQL:
select * from users where votes > 100 or (name = 'Abigail' and votes > 50)
Where Not Clauses
The whereNot
and orWhereNot
methods may be used to negate a given group of query constraints. For example, the following query excludes products that are on clearance or which have a price that is less than ten:
const products = await db.table('products')
.whereNot(() => {
this.where('clearance', true).orWhere('price', '<', 10);
})
.get();
Additional Where Clauses
whereBetween / orWhereBetween
The whereBetween
method verifies that a column's value is between two values:
const users = await db.table('users')
.whereBetween('votes', [1, 100])
.get();
whereNotBetween / orWhereNotBetween
The whereNotBetween
method verifies that a column's value lies outside of two values:
const users = await db.table('users')
.whereNotBetween('votes', [1, 100])
.get();
whereIn / whereNotIn / orWhereIn / orWhereNotIn
The whereIn
method verifies that a given column's value is contained within the given array:
const users = await db.table('users')
.whereIn('id', [1, 2, 3])
.get();
The whereNotIn
method verifies that the given column's value is not contained in the given array:
const users = await db.table('users')
.whereNotIn('id', [1, 2, 3])
.get();
whereNull / whereNotNull / orWhereNull / orWhereNotNull
The whereNull
method verifies that the value of the given column is NULL:
const users = await db.table('users')
.whereNull('updated_at')
.get();
The whereNotNull
method verifies that the column's value is not NULL:
const users = await db.table('users')
.whereNotNull('updated_at')
.get();
WhereX
There's an elegant way to turn this:
const users = await User.query().where('approved', 1).get();
const posts = await Post.query().where('views_count', '>', 100).get();
Into this:
const users = await User.query().whereApproved(1).get();
const posts = await Post.query().whereViewsCount('>', 100).get();
Logical Grouping
Sometimes you may need to group several "where" clauses within parentheses in order to achieve your query's desired logical grouping. In fact, you should generally always group calls to the orWhere
method in parentheses in order to avoid unexpected query behavior. To accomplish this, you may pass a closure to the where
method:
const users = await db.table('users')
.where('name', '=', 'John')
.where(() => {
this.where('votes', '>', 100).orWhere('title', '=', 'Admin');
})
.get();
As you can see, passing a closure into the where
method instructs the query builder to begin a constraint group. The closure will receive a query builder instance which you can use to set the constraints that should be contained within the parenthesis group. The example above will produce the following SQL:
select * from users where name = 'John' and (votes > 100 or title = 'Admin')
Ordering, Grouping
Ordering
The orderBy
Method
The orderBy
method allows you to sort the results of the query by a given column. The first argument accepted by the orderBy
method should be the column you wish to sort by, while the second argument determines the direction of the sort and may be either asc
or desc
:
const users = await db.table('users')
.orderBy('name', 'desc')
.get();
To sort by multiple columns, you may simply invoke orderBy
as many times as necessary:
const users = await db.table('users')
.orderBy('name', 'desc')
.orderBy('email', 'asc')
.get();
The latest
& oldest
Methods
The latest
and oldest
methods allow you to easily order results by date. By default, the result will be ordered by the table's created_at
column. Or, you may pass the column name that you wish to sort by:
const user = await db.table('users')
.latest()
.first();
Random Ordering
The inRandomOrder
method may be used to sort the query results randomly. For example, you may use this method to fetch a random user:
const randomUser = await db.table('users')
.inRandomOrder()
.first();
Removing Existing Orderings
The clearOrder
method removes all of the "order by" clauses that have previously been applied to the query:
const query = db.table('users').orderBy('name');
const unorderedUsers = await query.clearOrder().get();
Grouping
The groupBy
& having
Methods
As you might expect, the groupBy
and having
methods may be used to group the query results. The having
method's signature is similar to that of the where
method:
const users = await db.table('users')
.groupBy('account_id')
.having('account_id', '>', 100)
.get();
You can use the havingBetween
method to filter the results within a given range:
const report = await db.table('orders')
.selectRaw('count(id) as number_of_orders, customer_id')
.groupBy('customer_id')
.havingBetween('number_of_orders', [5, 15])
.get();
You may pass multiple arguments to the groupBy
method to group by multiple columns:
const users = await db.table('users')
.groupBy('first_name', 'status')
.having('account_id', '>', 100)
.get();
To build more advanced having statements, see the havingRaw
method.
Limit & Offset
The skip
& take
Methods
You may use the skip
and take
methods to limit the number of results returned from the query or to skip a given number of results in the query:
const users = await db.table('users').skip(10).take(5).get();
Alternatively, you may use the limit
and offset
methods. These methods are functionally equivalent to the take
and skip
methods, respectively:
const users = await db.table('users')
.offset(10)
.limit(5)
.get();
Insert Statements
The query builder also provides an insert
method that may be used to insert records into the database table. The insert
method accepts an array of column names and values:
await db.table('users').insert({
email: 'kayla@example.com',
votes: 0
});
You may insert several records at once by passing an array of arrays. Each array represents a record that should be inserted into the table:
await db.table('users').insert([
{ email: 'picard@example.com', votes: 0 },
{ email: 'janeway@example.com', votes: 0 },
]);
Update Statements
In addition to inserting records into the database, the query builder can also update existing records using the update
method. The update
method, like the insert
method, accepts an array of column and value pairs indicating the columns to be updated. The update
method returns the number of affected rows. You may constrain the update query using where clauses:
await db.table('users')
.where('id', 1)
.update({
votes: 1
});
Increment & Decrement
The query builder also provides convenient methods for incrementing or decrementing the value of a given column. Both of these methods accept at least one argument: the column to modify. A second argument may be provided to specify the amount by which the column should be incremented or decremented:
await db.table('users').increment('votes');
await db.table('users').increment('votes', 5);
await db.table('users').decrement('votes');
await db.table('users').decrement('votes', 5);
Delete Statements
The query builder's delete
method may be used to delete records from the table. The delete
method returns the number of affected rows. You may constrain delete statements by adding "where" clauses before calling the delete
method:
const deleted = await db.table('users').delete();
const deleted = await db.table('users').where('votes', '>', 100).delete();
Pessimistic Locking
The query builder also includes a few functions to help you achieve "pessimistic locking" when executing your select
statements. To execute a statement with a "shared lock", you may call the forShare
method. A shared lock prevents the selected rows from being modified until your transaction is committed:
await db.table('users')
.where('votes', '>', 100)
.forShare()
.get();
Alternatively, you may use the forUpdate
method. A "for update" lock prevents the selected records from being modified or from being selected with another shared lock:
await db.table('users')
.where('votes', '>', 100)
.forUpdate()
.get();