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django-pgjsonb-0.0.9
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Django Postgres JSONB Fields support with lookups
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | django-pgjsonb-0.0.9 |
| نام | django-pgjsonb |
| نسخه کتابخانه | 0.0.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Jay Young(yjmade) |
| ایمیل نویسنده | dev@yjmade.net |
| آدرس صفحه اصلی | https://github.com/yjmade/django-pgjsonb |
| آدرس اینترنتی | https://pypi.org/project/django-pgjsonb/ |
| مجوز | - |
# django-pgjsonb
Django Postgres JSONB Fields support with lookups
Originaly inspired by [django-postgres](https://bitbucket.org/schinckel/django-postgres/)
Change Logs
===========
2017-09-13: 0.0.29
Fix JsonAdapter Python2 incompatible
2017-09-11: 0.0.28
Fix contained_by contains empty {}
Fix error of has_any/ has_all
Fix lookup ```filter(meta={})```
2017-08-31: 0.0.27
Fix as_{} lookup for python3
2017-08-31: 0.0.26
Fix has lookup after Django 1.10
2017-05-18：0.0.25
Supress exception when drop index and the index already removed.
2017-03-14: 0.0.24
Add support for __near lookup with postgres earthdistance plugin, Thanks to @steinliber
2016-06-01: 0.0.23
Fix value from select_json not been decode from json introduce by 0.0.18
2016-03-24: 0.0.22
Fix error #11 remove the unexpect decode float to Decimal
2016-03-19: 0.0.21
Fix error #10
2016-03-09: 0.0.20
Add the array length for select_json
2016-03-08: 0.0.19
fix when add a json field with db_index=True and it's fail to generate the create index sql
2016-03-01: 0.0.18
we want to be able to use customize decoder to load json, so get avoid the psycopg2's decode json, just return raw text then we deserilize by the field from_db_value
2016-03-01: 0.0.17
patch the django serilizer to not return the stringifyed result
2015-07-23: 0.0.16
Add support for ./manage.py inspectdb
2015-06-10: 0.0.15
Add support for db_index to add GIN index
Install
=======
`pip install django-pgjsonb`
Definition
===
```python
from django_pgjsonb import JSONField
class Article(models.Model):
meta=JSONField([null=True,default={},decode_kwargs={},encode_kwargs={},db_index=False,db_index_options={}])
```
Encoder and Decoder Options
===
by define decode_kwargs and encode_kwargs you can use your customize json dump and load behaveior, basicly these parameters will just pass to json.loads(**decode_kwargs) and json.dumps(**encode_kwargs)
here is an example for use [EJSON](https://pypi.python.org/pypi/ejson) to store native datetime object
```python
import ejson
class Article(models.Model):
meta=JSONField(encode_kwargs={"cls":ejson.EJSONEncoder},decode_kwargs={"cls":ejson.EJSONDecoder})
```
Add Index
=====
[new add in 0.0.15]
jsonb field support gin type index to accelerator filtering. Since JSON is a data structure contains hierarchy, so the index of jsonb field will be more complicate than another single value field. More information, please reference [Postgres document 8.14.4](http://www.postgresql.org/docs/9.4/static/datatype-json.html)
```python
meta=JSONField(db_index=True)
or
meta=JSONField(db_index=True,db_index_options={"path":"authors__name","only_contains":True})
or
meta=JSONField(db_index=True,db_index_options=[{},{"path":"authors__name","only_contains":True}])
```
When set db_index as True and do not set db_index_options, it will generate default GIN index, most case it's enough.
When specify ```db_index_options={"only_contains":True}```, the index will be as the non-default GIN operator class jsonb_path_ops that supports indexing the ```contains``` operator only, but it's consume less space and more efficient.
When specify the path parameter in db_index_options, ```db_index_options={"path":"authors__name"}```, then index will generate to the specify path, so that ```Article.objects.filter(meta__authors__name__contains=["asd"])``` can utilize the index.
So you can create multiple index in one JSONField, just pass the db_index_options parameter as a list that contains multiple options, it will generate multiple correspond indexes. Empty dict stand for the default GIN index.
Lookups
=======
###Contains a wide range of lookups supported natively by postgres
1. `has` :if field has specific key *`("?")`*
```python
Article.objects.filter(meta__has="author")
```
2. `has_any` : if field has any of the specific keys *`("?|")`*
```python
Article.objects.filter(meta__has_any=["author","date"])
```
3. `has_all` : if field has all of the specific keys *`("?&")`*
```python
Article.objects.filter(meta__has_all=["author","date"])
```
4. `contains` : if field contains the specific keys and values *`("@>")`*
```python
Article.objects.filter(meta__contains={"author":"yjmade","date":"2014-12-13"})
```
5. `in` or `contained_by` : if all field key and value contain by input *`("<@")`*
```python
Article.objects.filter(meta__in={"author":"yjmade","date":"2014-12-13"})
```
6. `len` : the length of the array, transform to int, and can followed int lookup like gt or lt *`("jsonb_array_length()")`*
```python
Article.objects.filter(meta__authors__len__gte=3)
Article.objects.filter(meta__authors__len=10)
```
7. `as_(text,int,float,bool,date,datetime)` : transform json field into specific data type so that you can follow operation of this type *`("CAST(FIELD as TYPE)")`*
```python
Article.objects.filter(meta__date__as_datetime__year__range=(2012,2015))
Article.objects.filter(meta__view_count__as_float__gt=100)
Article.objects.filter(meta__title__as_text__iregex=r"^\d{4}")
```
8. `path_(PATH)` : get the specific path, path split by '_' *`("#>")`*
```python
Article.objects.filter(meta__path_author_articles__contains="show me the money")
```
Extend function to QuerySet
========================
1.`select_json("JSON_PATHS",field_name="JSON_PATHS")`
JSON_PATHS in the format of paths separated by "__",like "meta__location__geo_info". It will use the queryset's `extra` method to transform a value inside json as a field.
If no field_name provided, it will generate a field name with lookups separate by _ without the json field self's name, so `select_json("meta__author__name")` is equal to `select_json(author_name="meta__author__name")`
```python
Article.objects.select_json("meta__author__name",geo="meta__location__geo_info")`
```
This operation will translate to sql as
```sql
SELECT "article"."meta"->'location'->'geo_info' as "geo", "article"."meta"->'author'->'name' as "author_name"
```
[new add in 0.0.20]
You can also select the length of a json array as a field by use Length object
```python
from django_pgjsonb.fields import Length
Article.objects.select_json(authors_len=Length("meta__authors")).values("authors_len")
```
After select_json, the field_name can be operate in values() and values_list() method, so that
1. select only one specific value inside json
2. to group by one value inside json
is possible.
Demo:
```python
Article.objects.all().select_json(tags="meta__tags").values_list("tags")
# select only "meta"->'tags'
Article.objects.all().select_json(author_name="meta__author__name")\
.values("author_name").annotate(count=models.Count("author_name"))
# GROUP BY "meta"->'author'->'name'
```
support geo search in jsonb
===========================
**require**: postgresql plugin:
1. cube
2. earthdistance
3. to install these two plugin, run command below in psql
```
CREATE EXTENSION cube;
CREATE EXTENSION earthdistance;
```
how to save location json record
```Json
{"location": [30.2, 199.4]} # just keep a latitude, longitude list
```
Demo
```python
Article.objects.filter(data__location__near=[39.9, 116.4,5000]) # latitude，longitude，search range
```
or
```python
Article.objects.filter(data__location__near='39.9,116.4,5000') # latitude，longitude, search range
```
**Alert**: if you don't pass exact number of params, this filter will not be used
**for more earthdistance**, see [Postgresql Earthdistance Documentation](https://www.postgresql.org/docs/8.3/static/earthdistance.html)
------------------------------------------------------------------------------------------------------------------
#####For more information about raw jsonb operation, please see [PostgreSQL Documentation](http://www.postgresql.org/docs/9.4/static/functions-json.html)
نحوه نصب
نصب پکیج whl django-pgjsonb-0.0.9:
pip install django-pgjsonb-0.0.9.whl
نصب پکیج tar.gz django-pgjsonb-0.0.9:
pip install django-pgjsonb-0.0.9.tar.gz