Swift-Kuery-PostgreSQL
PostgreSQL plugin for the Swift-Kuery framework. It enables you to use Swift-Kuery to manipulate data in a PostgreSQL database.
PostgreSQL client installation
To use Swift-Kuery-PostgreSQL you must have the appropriate PostgreSQL C-language client installed.
macOS
$ brew install postgresql
Linux
$ sudo apt-get install libpq-dev
Usage
Add dependencies
Add the SwiftKueryPostgreSQL
package to the dependencies within your application’s Package.swift
file. Substitute "x.x.x"
with the latest SwiftKueryPostgreSQL
release.
.package(url: "https://github.com/Kitura/Swift-Kuery-PostgreSQL.git", from: "x.x.x")
Add SwiftKueryPostgreSQL
to application’s dependencies:
.target(name: "Application", dependencies: ["SwiftKueryPostgreSQL"]),
Import package
import SwiftKueryPostgreSQL
Using Swift-Kuery-PostgreSQL
First create an instance of Swift-Kuery-PostgreSQL
by calling:
let connection = PostgreSQLConnection(host: host, port: port, options: [ConnectionOptions]?)
Where:
- host and port are the host and the port of PostgreSQL
- ConnectionOptions an optional set of:
- options - command-line options to be sent to the server
- databaseName - the database name
- userName - the user name
- password - the user password
- connectionTimeout - maximum wait for connection in seconds. Zero or not specified means wait indefinitely.
For more details refer to the PostgreSQL manual.
Alternatively, call:
let connection = PostgreSQLConnection(url: URL(string: "Postgres://\(username):\(password)@\(host):\(port)/\(databaseName)")!)
To establish a connection to the database call:
connection.connect() { result in
guard result.success else {
// Connection not established, handle error
return
}
// Connection established
}
You now have a connection that can be used to execute SQL queries created using Swift-Kuery.
Getting Started with Swift-Kuery-PostgreSQL locally
Install PostgreSQL server
Mac
brew install postgresql
Ubuntu Linux
sudo apt-get install postgresql postgresql-contrib
Make sure you have the database running. This installation should have also installed two applications we need, namely (createdb and psql) which will be used as clients to your locally running PostgreSQL.
Create a database
Let’s create a database called school
:
createdb school
Create the tables
Now, let’s create the tables we need for this example.
Use the interative psql
client to open the database we created:
$ psql school
psql (9.5.4)
Type "help" for help.
school=#
First, create the student table:
CREATE TABLE student (
studentId BIGSERIAL PRIMARY KEY,
name varchar(100) NOT NULL CHECK (name <> '')
);
Next, create the grades table:
CREATE TABLE grades (
key BIGSERIAL PRIMARY KEY,
studentId integer NOT NULL,
course varchar(40) NOT NULL,
grade integer
);
Populate the tables
First the students table:
INSERT INTO student VALUES (1, 'Tommy Watson');
INSERT INTO student VALUES (2, 'Fred Flintstone');
And then the grades table:
INSERT INTO grades (studentId, course, grade) VALUES (1, 'How to build your first computer', 99);
INSERT INTO grades (studentId, course, grade) VALUES (2, 'How to work at a rock quarry', 71);
Use Swift-Kuery
Now we are set to connect to our database from Swift and use Swift-Kuery to query the data into our Swift application.
Create simple Swift executable
First create a directory for our project and then initialize it.
$ mkdir swift-kuery-play
$ cd swift-kuery-play
$ swift package init --type executable
Creating executable package: swift-kuery-play
Creating Package.swift
Creating README.md
Creating .gitignore
Creating Sources/
Creating Sources/swift-kuery-play/main.swift
Creating Tests/
$
Now, add Swift-Kuery-PostgreSQL as a dependency for our project, this will automatically pull in Swift-Kuery.
Edit Package.swift
to contain the following, substituting "x.x.x"
with the latest Kitura
and Swift-Kuery-PostgreSQL
releases.
// swift-tools-version:4.0
import PackageDescription
let package = Package(
name: "swift-kuery-play",
dependencies: [
.package(url: "https://github.com/Kitura/Kitura.git", from: "x.x.x"),
.package(url: "https://github.com/Kitura/Swift-Kuery-PostgreSQL", from: "x.x.x")
],
targets: [
.target(
name: "swift-kuery-play",
dependencies: ["Kitura", "SwiftKueryPostgreSQL"]),
]
)
Now, edit your main.swift
file to contain:
import SwiftKuery
import SwiftKueryPostgreSQL
import Kitura
let router = Router()
class Grades : Table {
let tableName = "grades"
let key = Column("key")
let course = Column("course")
let grade = Column("grade")
let studentId = Column("studentId")
}
let grades = Grades()
let connection = PostgreSQLConnection(host: "localhost", port: 5432, options: [.databaseName("school")])
func grades(_ callback: @escaping (String) -> Void) -> Void {
connection.connect() { result in
guard result.success else {
guard let error = result.asError else {
return callback("Error connecting: Unknown Error")
}
return callback("Error connecting: \(error)")
}
// Build and execute your query here.
// First build query
let query = Select(grades.course, grades.grade, from: grades)
// Execute query
connection.execute(query: query) { result in
guard let resultSet = result.asResultSet else {
guard let error = result.asError else {
return callback("Error executing query: Unknown Error")
}
return callback("Error executing query: \(error)")
}
var retString = ""
resultSet.getColumnTitles() { titles, error in
guard let titles = titles else {
guard let error = error else {
return callback("Error fetching column titles: Unknown Error")
}
return callback("Error fetching column titles: \(error)")
}
for title in titles {
//The column names of the result.
retString.append("\(title.padding(toLength: 35, withPad: " ", startingAt: 0))")
}
retString.append("\n")
resultSet.forEach() { row, error in
guard let row = row else {
// A null row means we have run out of results unless we encountered an error
if let error = error {
return callback("Error fetching row: \(error)")
}
// No error so all rows are processed, make final callback passing result.
return callback(retString)
}
for value in row {
if let value = value {
let valueString = String(describing: value)
retString.append("\(valueString.padding(toLength: 35, withPad: " ", startingAt: 0))")
}
}
retString.append("\n")
}
}
}
}
}
router.get("/") {
request, response, next in
grades() {
resp in
response.send(resp)
next()
}
}
Kitura.addHTTPServer(onPort: 8080, with: router)
Kitura.run()
Now build the program and run it:
$ swift build
$ .build/debug/swift-kuery-play
Now open a web page to http://localhost:8080 and you should see:
course grade
How to build your first computer 99
How to work at a rock quarry 71
Now we can change our query line and see different results.
Change the line:
let query = Select(grades.course, grades.grade, from: grades)
to
let query = Select(grades.course, grades.grade, from: grades)
.where(grades.grade > 80)
and we should only see grades greater than 80:
course grade
How to build your first computer 99
Another possibility is to use QueryResult.asRows
that returns the result as an array of dictionaries where each dictionary represents a row of the result with the column title as the key.
Change your grades
function as follows:
func grades(_ callback: @escaping (String) -> Void) -> Void {
connection.connect() { result in
guard result.success else {
guard let error = result.asError else {
return callback("Error connecting: Unknown Error")
}
return callback("Error connecting: \(error)")
}
let query = Select(grades.course, grades.grade, from: grades)
connection.execute(query: query) { result in
result.asRows() { rows, error in
guard let rows = rows else {
guard let error = error else {
return callback("Error getting rows: Unknown Error")
}
return callback("Error getting rows: \(error)")
}
var retString = ""
for row in rows {
for (title, value) in row {
if let value = value {
retString.append("\(title): \(value) ")
}
}
retString.append("\n")
}
return callback(retString)
}
}
}
}
At http://localhost:8080 you should see:
grade: 99 course: How to build your first computer
grade: 71 course: How to work at a rock quarry
API Documentation
For more information visit our API reference.
Community
We love to talk server-side Swift, and Kitura. Join our Slack to meet the team!
License
This library is licensed under Apache 2.0. Full license text is available in LICENSE