JSON Querybuilder

• JSON Query Specification
  • Quick example
  • Operators
  • Grouping

JSON query specification and implementation for Python APIs. JSON querybuilder helps APIs to support JSON queries.

JSON Query Specification

Quick example

All players with jersey_no equal to 1 (jersey_no == 1):

{
    "EQ":
          { "jersey_no": 1 }
}

Operators

Condition	JSON KEY	Symbol	JSON Query
Equal to	EQ	==	{"EQ": {"jersey_no": 2}}
Less than	LT	<	{"LT": {"jersey_no": 2}}
Less than or Equal to	LE	<=	{"LE": {"jersey_no": 2}}
Greater than	GT	>	{"GT": {"jersey_no": 2}}
Greater than or Equal to	GE	>=	{"GE": {"jersey_no": 2}}
Not equal	NE	!=	{"NE": {"jersey_no": 2}}

IN

All players where jersey_no is in [1, 2, 3]:

{
   "IN": {
      "quanity": [1, 2, 3]
   }
}

BETWEEN

All items with quantity between 10000 and 15000

{
   "BETWEEN": {
      "quanity": [10000, 15000]
   }
}

CONTAINS_ANY

For all items where author_ids contains any of 8, 9, 10

{
   "CONTAINS_ANY": {
      "author_ids": [8, 9, 10]
   }
}

CONTAINS_ALL

For all items where author_ids contains all of 8, 9

{
   "CONTAINS_ALL": {
      "author_ids": [8, 9]
   }
}

STARTSWITH

• For all items where title starts with Film Review:

  {
     "STARTSWITH": {
    "title": "Film Review"
     }
  }

Grouping

Complex queries can be composed using OR, AND or both.

Example

For all items with quanity between 10000 and 15000 and whose author_ids contains 8(the author’s ID) (in above schema, author_ids is an ArrayField in Postgres):

{
   "AND": [
      {
         "BETWEEN": {
            "quanity": [10000, 15000]
         }
      },
      {
         "CONTAINS": {
            "author_ids": [8]
         }
      }
   ]
}