JsonQ is a simple, elegant PHP package to Query over any type of JSON Data. It’ll make your life easier by giving the flavour of an ORM-like query on your JSON.

Github Link : https://github.com/nahid/jsonq

Installation

Usage

You can start using this package right away by importing your JSON data from a file:

Or from a JSON String:

Or from a PHP Array:

You can start Query your data using the various query methods such as find, where, orWhere, whereIn, whereStartsWith, whereEndsWith, whereContains and so on. Also you can aggregate your data after query using sum, count, groupBy, max, min etc.

Let’s see a quick example:

Let’s say we want to get the Summation of price of the Queried result. We can do it easily by calling the sum() method instead of get():

Pretty neat, huh?

Let’s explore the full API to see what else magic this library can do for you. Shall we?

API

Following API examples are shown based on the sample JSON data given here. To get a better idea of the examples see that JSON data first. Also detailed examples of each API can be found here.

List of API:

fetch()

This method will execute queries and will return the resulted data. You need to call it finally after using some query methods. Details can be found in other API examples.

find(path)

path -- the path hierarchy of the data you want to find.

You don’t need to call fetch() method after this. Because this method will fetch and return the data by itself.

caveat: You can’t chain further query methods after it. If you need that, you should use at() or from() method.

example:

Let’s say you want to get the value of ‘cities’ property of your Json Data. You can do it like this:

If you want to traverse to more deep in hierarchy, you can do it like:

See a detail example here.

from(path)

path (optional) -- the path hierarchy of the data you want to start query from.

By default, query would be started from the root of the JSON Data you’ve given. If you want to first move to a nested path hierarchy of the data from where you want to start your query, you would use this method. Skipping the path parameter or giving '.' as parameter will also start query from the root Data.

Difference between this method and find() is that, find() method will return the data from the given path hierarchy. On the other hand, this method will return the Object instance, so that you can further chain query methods after it.

example:

Let’s say you want to start query over the values of ‘vendor.name’ property of your JSON Data. You can do it like this:

If you want to traverse to more deep in hierarchy, you can do it like:

See a detail example here.

at(path)

This is an alias method of from() and will behave exactly like that. See example here.

where(key, condition, val)

key -- the property name of the data. Or you can pass a Function here to group multiple query inside it. See details in example

-- the property name of the data. Or you can pass a Function here to group multiple query inside it. See details in example val -- value to be matched with. It can be a int, string, bool or even Function - depending on the op .

-- value to be matched with. It can be a int, string, bool or even Function - depending on the . op -- operand to be used for matching. The following operands are available to use:

-- operand to be used for matching. The following operands are available to use: = : For weak equality matching

: For weak equality matching eq : Same as =

: Same as != : For weak not equality matching

: For weak not equality matching neq : Same as !=

: Same as == : For strict equality matching

: For strict equality matching seq : Same as ==

: Same as !== : For strict not equality matching

: For strict not equality matching sneq : Same as !==

: Same as > : Check if value of given key in data is Greater than val

: Check if value of given in data is Greater than gt : Same as >

: Same as < : Check if value of given key in data is Less than val

: Check if value of given in data is Less than lt : Same as <

: Same as >= : Check if value of given key in data is Greater than or Equal of val

: Check if value of given in data is Greater than or Equal of gte : Same as >=

: Same as <= : Check if value of given key in data is Less than or Equal of val

: Check if value of given in data is Less than or Equal of lte : Same as <=

: Same as null : Check if the value of given key in data is null ( val parameter in where() can be omitted for this op )

: Check if the value of given in data is ( parameter in can be omitted for this ) notnull : Check if the value of given key in data is not null ( val parameter in where() can be omitted for this op )

: Check if the value of given in data is ( parameter in can be omitted for this ) in : Check if the value of given key in data is exists in given val . val should be a plain Array.

: Check if the value of given in data is exists in given . should be a plain Array. notin : Check if the value of given key in data is not exists in given val . val should be a plain Array.

: Check if the value of given in data is not exists in given . should be a plain Array. startswith : Check if the value of given key in data starts with (has a prefix of) the given val . This would only works for String type data.

: Check if the value of given in data starts with (has a prefix of) the given . This would only works for String type data. endswith : Check if the value of given key in data ends with (has a suffix of) the given val . This would only works for String type data.

: Check if the value of given in data ends with (has a suffix of) the given . This would only works for String type data. contains : Check if the value of given key in data has a substring of given val . This would only works for String type data.

: Check if the value of given in data has a substring of given . This would only works for String type data. match : Check if the value of given key in data has a Regular Expression match with the given val . The val parameter should be a RegExp for this op .

: Check if the value of given in data has a Regular Expression match with the given . The parameter should be a for this . macro : It would try to match the value of given key in data executing the given val . The val parameter should be a Function for this op . This function should have a matching logic inside it and return true or false based on that.

example:

Let’s say you want to find the ‘users’ who has id of 1 . You can do it like this:

You can add multiple where conditions. It’ll give the result by AND-ing between these multiple where conditions.

See a detail example here.

orWhere(key, op, val)

Parameters of orWhere() are the same as where() . The only difference between where() and orWhere() is: condition given by the orWhere() method will OR-ed the result with other conditions.

For example, if you want to find the users with id of 1 or 2 , you can do it like this:

See detail example here.

whereIn(key, val)

key -- the property name of the data

-- the property name of the data val -- it should be an Array

This method will behave like where(key, 'in', val) method call.

whereNotIn(key, val)

key -- the property name of the data

-- the property name of the data val -- it should be an Array

This method will behave like where(key, 'notin', val) method call.

whereNull(key)

key -- the property name of the data

This method will behave like where(key, 'null') or where(key, '=', null) method call.

whereNotNull(key)

key -- the property name of the data

This method will behave like where(key, 'notnull') or where(key, '!=', null) method call.

whereStartsWith(key, val)

key -- the property name of the data

-- the property name of the data val -- it should be a String

This method will behave like where(key, 'startswith', val) method call.

whereEndsWith(key, val)

key -- the property name of the data

-- the property name of the data val -- it should be a String

This method will behave like where(key, 'endswith', val) method call.

whereContains(key, val)

key -- the property name of the data

-- the property name of the data val -- it should be a String

This method will behave like where(key, 'contains', val) method call.

sum(column)

column -- the property name of the data

example:

Let’s say you want to find the sum of the ‘price’ of the ‘products’. You can do it like this:

If the data you are aggregating is plain array, you don’t need to pass the ‘column’ parameter. See detail example here

count()

It will return the number of elements in the collection.

example:

Let’s say you want to find how many elements are in the ‘products’ property. You can do it like:

See detail example here.

size()

This is an alias method of count() .

max(column)

column -- the property name of the data

example:

Let’s say you want to find the maximum of the ‘price’ of the ‘products’. You can do it like this:

If the data you are querying is plain array, you don’t need to pass the ‘column’ parameter. See detail example here

min(column)

column -- the property name of the data

example:

Let’s say you want to find the minimum of the ‘price’ of the ‘products’. You can do it like this:

If the data you are querying is plain array, you don’t need to pass the ‘property’ parameter. See detail example here

avg(column)

column -- the property name of the data

example:

Let’s say you want to find the average of the ‘price’ of the ‘products’. You can do it like this:

If the data you are querying is plain array, you don’t need to pass the ‘column’ parameter. See detail example here

first()

It will return the first element of the collection.

example:

See detail example here.

last()

It will return the last element of the collection.

example:

See detail example here.

nth(index)

index -- index of the element to be returned.

It will return the nth element of the collection. If the given index is a positive value, it will return the nth element from the beginning. If the given index is a negative value, it will return the nth element from the end.

example:

See detail example here.

exists()

It will return true if the element is not empty or not null or not an empty array or not an empty object.

example:

Let’s say you want to find how many elements are in the ‘products’ property. You can do it like:

See detail example here.

groupBy(column)

column -- The property by which you want to group the collection.

example:

Let’s say you want to group the ‘users’ data based on the ‘location’ property. You can do it like:

See detail example here.

sort(order)

order -- If you skip the 'order' property the data will be by default ordered as ascending. You need to pass 'desc' as the 'order' parameter to sort the data in descending order. Also, you can pass a compare function in 'order' parameter to define your own logic to order the data.

Note: This method should be used for plain Array. If you want to sort an Array of Objects you should use the sortBy() method described later.

example:

Let’s say you want to sort the ‘arr’ data. You can do it like:

See detail example here.

sortBy(column, order)

column -- You need to pass the column name on which the sorting will be done.

-- You need to pass the column name on which the sorting will be done. order -- If you skip the 'order' property the data will be by default ordered as ascending. You need to pass 'desc' as the 'order' parameter to sort the data in descending order. Also, you can pass a compare function in 'order' parameter to define your own logic to order the data.

Note: This method should be used for Array of Objects. If you want to sort a plain Array you should use the sort() method described earlier.

example:

Let’s say you want to sort the ‘price’ data of ‘products’. You can do it like:

See detail example here.

reset(data)

data -- can be a JSON file path, or a JSON string or a JSON Object. If no data passed in the data parameter, the jsonQ Object instance will be reset to previously initialized data.

At any point, you might want to reset the Object instance to a completely different set of data and then query over it. You can use this method in that case.

See a detail example here.

copy()

It will return a complete clone of the Object instance.

See a detail example here.

Bugs and Issues

If you encounter any bugs or issues, feel free to open an issue at github.

Also, you can shoot me an email to mailto:nahid.dns@gmail.com for hugs or bugs.