Updated README
This commit is contained in:
parent
dad7e173da
commit
52e8df83c3
101
README.md
101
README.md
@ -1,4 +1,101 @@
|
|||||||
yaql
|
YAQL - Yet Another Query Language
|
||||||
====
|
====
|
||||||
|
|
||||||
yet another query language
|
At the beginning of millennium the growing trend towards data formats standardization and application integrability made
|
||||||
|
XML extremely popular. XML became lingua franca of the data. Applications tended to process lots of XML files ranging
|
||||||
|
from small config files to very large datasets. As these data often had a complex structure with many levels of
|
||||||
|
nestedness it is quickly became obvious that there is a need for specially crafted domain specific languages to query
|
||||||
|
these data sets. This is how XPath and later XQL were born.
|
||||||
|
|
||||||
|
With later popularization of REST services and Web 2.0 JSON started to take XML’s place. JSON’s main advantage (besides
|
||||||
|
being simpler than XML) is that is closely reassembles data structures found in most programming languages (arrays,
|
||||||
|
dictionaries, scalars) making it very convenient for data serialization. As JSON lacked all the brilliant XML-related
|
||||||
|
technologies like XSLT, XML Schema, XPath etc. various attempts to develop similar languages for JSON were made. One of
|
||||||
|
those efforts was JSONPath library developed in 2007 by Stefan Gössner. Initial implementation was for PHP and
|
||||||
|
JavaScript languages, but later on ports to other languages including Python were written.
|
||||||
|
|
||||||
|
JSONPath allows navigation and querying, well, JSONs.
|
||||||
|
Suppose we have JSON as in following:
|
||||||
|
|
||||||
|
{
|
||||||
|
"customers": [
|
||||||
|
{
|
||||||
|
"customer_id": 1,
|
||||||
|
"name": "John",
|
||||||
|
"orders": [{
|
||||||
|
"order_id": 1,
|
||||||
|
"item": "Guitar",
|
||||||
|
"quantity": 1
|
||||||
|
}]
|
||||||
|
},{
|
||||||
|
"customer_id": 2,
|
||||||
|
"name": "Paul",
|
||||||
|
"orders": [ {
|
||||||
|
"order_id": 2,
|
||||||
|
"item": "Banjo",
|
||||||
|
"quantity": 2
|
||||||
|
},{
|
||||||
|
"order_id": 3,
|
||||||
|
"item": "Piano",
|
||||||
|
"quantity": 1
|
||||||
|
}]
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
then
|
||||||
|
|
||||||
|
`jsonpath(data, "$.customers[0].name") -> [‘John’]`
|
||||||
|
`jsonpath(data, "$.customers[*].orders[*].order_id") -> [1, 2, 3]`
|
||||||
|
|
||||||
|
But what if we need, for example to find order having ID = 2? Here is how it done in JSONPath:
|
||||||
|
|
||||||
|
`jsonpath(data, "$.customers[*].orders[?(@.order_id == 2)") -> [{'order_id': 2, 'item': 'Banjo', 'quantity': 2}]`
|
||||||
|
|
||||||
|
The construct `[?(expression)]` allows to filter items using any Python expression in our case. `@` character is
|
||||||
|
replaced with current value and then the whole expression is evaluated. Evaluation of arbitrary Python expression
|
||||||
|
requires using `eval()` function unless one wants to develop his own complete parser and interpreter of Python
|
||||||
|
programming language. Needless to say that `eval()` is a great security breach. If JSONPath expressions are used to
|
||||||
|
simplify program logic it would not be a big deal, but what if JSONPath is written by program users?
|
||||||
|
|
||||||
|
JSONPath expression is just a plain string. There is no such concept as parameter. That is if one want to find order
|
||||||
|
having ID = some variable value he has to dynamically construct expression string using string formatting or
|
||||||
|
concatenation. And again that is might be okay for internal usage but would became difficult for external usage and also
|
||||||
|
open the doors for injection attacks (remember SQL injection?)
|
||||||
|
|
||||||
|
Another limitation of JSONPath is JSON itself. Technically speaking JSONPath operates not on the JSON itself (i.e. text
|
||||||
|
representation) but on a JSON-like object model that is mixture of arrays, dictionaries and scalar values. But what is
|
||||||
|
one want to query object model consisting of custom objects? What if some parts of this model are dynamically computed?
|
||||||
|
Or the model is a graph rather than a tree?
|
||||||
|
|
||||||
|
It seems like JSONPath is good enough to use in Python code when you can `eval()` things and have many helper function
|
||||||
|
to work with data besides JSONPath capabilities but is not enough for external use when you need to have sufficient
|
||||||
|
power to query model without manual coding and have it still secure.
|
||||||
|
This is why we designed YAQL. YAQL follows the JSONPath ideas and has very similar syntax but offers much more for data
|
||||||
|
querying.
|
||||||
|
|
||||||
|
Expressions are quite similar to JSONPath. Here is how examples above can be translated to YAQL:
|
||||||
|
|
||||||
|
`$.customers[0].name -> $.customers[0].name (no change)`
|
||||||
|
`$.customers[*].orders[*].order_id -> $.customers.orders.order_id`
|
||||||
|
|
||||||
|
the main addition to JSONPath is functions and operators. Consider the following YAQL expressions:
|
||||||
|
|
||||||
|
`$.customers.orders[$.quantity > 0].quantity.sum() -> 4`
|
||||||
|
`$.customers.orders.select($.quantity * $.quantity).sum() -> 6`
|
||||||
|
`$.customers.orders.order_id.orderDesc($) -> [3, 2, 1]`
|
||||||
|
`$.customers.orders.order_id.orderDesc($).take(2) -> [3, 2]`
|
||||||
|
`$.customers.orders.order_id.orderDesc($).first() -> 3`
|
||||||
|
|
||||||
|
Does it mean that YAQL has large built-in function and operator library?. Yes, YAQL library has a out of the box large
|
||||||
|
set of commonly used functions. But they are not built-in. All the functions and operators (which are also function:
|
||||||
|
`a + b = operator_+(a, b)` etc) are user-supplied. User is free to add other functions that could be used in expressions
|
||||||
|
and to remove standard ones.
|
||||||
|
|
||||||
|
JSONPath library needs 2 arguments - input JSON data and an a expression. YAQL library requires third
|
||||||
|
parameter - context.
|
||||||
|
|
||||||
|
Context is a repository of functions and variables that can be used in expressions. So all the functions above are just
|
||||||
|
ordinary Python functions that are registered in Context object. But because they all need to be registered in Context
|
||||||
|
user can always customize them, add his own model-specific ones and have full control over the expression evaluation.
|
Loading…
Reference in New Issue
Block a user