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JSON

Build status on GitHub XP Framework Mdodule BSD Licence Requires PHP 7.0+ Supports PHP 8.0+ Latest Stable Version

Reads and writes JSON to and from various input sources.

Examples

Reading can be done from a string using one of the Input implementations:

// Strings
$value= Json::read('"Test"');

// Input
$in= new FileInput(new File('input.json'));
$in= new StringInput('{"Hello": "World"}');
$in= new StreamInput(new SocketInputStream(...));

$value= Json::read($in);

Writing can be done to a string or using one of the Output implementations:

// Strings
$json= Json::of('Test');

// Output
$out= new FileOutput(new File('output.json'));
$out= new StreamOutput(new SocketOuputStream(...));

Json::write($value, $out);

Formatted output

To change the output format, pass a Format instance to the output's constructor. The formats available are:

  • DenseFormat($options): Best for network I/O, no unsignificant whitespace, default if nothing given and accessible via Format::dense($options= ~Format::ESCAPE_SLASHES).
  • WrappedFormat($indent, $options): Wraps first-level arrays and all objects, uses whitespace after commas colons. An instance of this format using 4 spaces for indentation and per default leaving forward slashes unescaped is available via Format::wrapped($indent= " ", $options= ~Format::ESCAPE_SLASHES).

The available options that can be or'ed together are:

  • Format::ESCAPE_SLASHES: Escape forward-slashes with "" - default behavior.
  • Format::ESCAPE_UNICODE: Escape unicode with "\uXXXX" - default behavior.
  • Format::ESCAPE_ENTITIES: Escape XML entities &, ", < and >. Per default, these are represented in their literal form.
$out= new FileOutput(new File('glue.json'), Format::wrapped());
$out->write([
  'name'    => 'example/package',
  'version' => '1.0.0',
  'require' => [
    'xp-forge/json'     => '^3.0',
    'xp-framework/core' => '^10.0'
  ]
]);

The above code will yield the following output:

{
    "name": "example/package",
    "version": "1.0.0'",
    "require": {
        "xp-forge/json": "^3.0",
        "xp-framework/core": "^10.0"
    }
}

Sequential processing

Processing elements sequentially can save you memory and give a better performance in certain situations.

Reading

You can use the elements() method to receive an iterator over a JSON array. Instead of loading the entire source into memory and then returning the parsed array, it will parse one array element at a time, yielding them while going.

$conn= new HttpConnection(...);
$in= new StreamInput($conn->get('/search?q=example&limit=1000')->in());
foreach ($in->elements() as $element) {
  // Process
}

If you get a huge object, you can also process it sequentially using the pairs() method. This will parse a single key/value pair at a time.

$conn= new HttpConnection(...);
$in= new StreamInput($conn->get('/resources/4711?expand=*')->in());
foreach ($in->pairs() as $key => $value) {
  // Process
}

To detect the type of the data on the stream (again, without reading it completely), you can use the type() method.

$conn= new HttpConnection(...);
$in= new StreamInput($conn->get($resource)->in());
$type= $in->type();
if ($type->isArray()) {
  // Handle arrays
} else if ($type->isObject()) {
  // Handle objects
} else {
  // Handle primitives
}

Writing

To write data sequentially, you can use the begin() method and the stream it returns. This makes sense when the source offers a way to read data sequentially, if you already have the entire data in memory, using write() has the same effect.

$query= $conn->query('select * from person');

$stream= (new StreamOutput(...))->begin(Types::$ARRAY);
while ($record= $query->next()) {
  $stream->element($record);
}
$stream->close();

As the Stream class implements the Closeable interface, it can be used in the with statement:

$query= $conn->query('select * from person');

with ((new StreamOutput(...))->begin(Types::$ARRAY), function($stream) use($query) {
  while ($record= $query->next()) {
    $stream->element($record);
  }
});

Further reading

  • Performance figures. TL;DR: While slower than the native functionality, the performance overhead is in low millisecond ranges. Using sequential processing we have an advantage both performance- and memory-wise.
  • Parsing JSON is a Minefield. This library runs this test suite next to its own.