High-Level DynamoDB Interface for Pythonwrapping Low-Level Interface of boto
Project description
High-Level DynamoDB Interface for Python wrapping Low-Level Interface of boto
Installation
From PyPi:
$ pip install bynamodb
From GitHub:
$ pip install git+https://github.com/teddychoi/BynamoDB#egg=bynamodb
Patch DynamoDBConnection
Set DynamoDBConnection default host and port.
from bynamodb.patcher import patch_dynamodb_connection
patch_dynamodb_connection(host='localhost', port=8000)
Model Definition
import datetime
from bynamodb.attributes import StringAttribute, StringSetAttribute
from bynamodb.indexes import GlobalAllIndex
from bynamodb.model import Model
class Article(Model):
published_at = StringAttribute(hash_key=True)
id = StringAttribute(range_key=True)
title = StringAttribute()
content = StringAttribute()
author = StringAttribute()
write_time = StringAttribute(
default=lambda: str(datetime.datetime.now()))
tags = StringSetAttribute(default=set())
thumbnail = StringAttribute(null=True)
class AuthorIndex(GlobalAllIndex):
read_throughput = 5
write_throughput = 5
hash_key = 'author'
range_key = 'published_at'
Put Item & Get Item
Article.put_item(
published_at='2014-12-09',
id='1',
title='This is the title',
content='This is the content',
author='Bochul Choi'
)
article = Article.get_item(hash_key='2014-12-09', range_key='1')
Get Item from Raw Data
You can get items from raw data retrieved from boto’s low level API
from boto.dynamodb2.layer1 import DynamoDBConnection
conn = DynamoDBConnection()
raw_data = conn.get_item(
'Article',
{
'published_at': {'S': '2014-12-09'},
'id': {'S': '1'}
}
)
article = Article.from_raw_data(raw_data['Item'])
Simple Scan & Query
# Scan all articles that the title starts with "Title"
articles = Article.scan(title__startswith='Title')
# Get the total count of matching items
count = articles.count()
# Get the iterator of matching items
items = iter(articles)
# Query articles that author is "Bochul Choi"
articles = Article.query(author__eq='Bochul Choi', index_name='AuthorIndex')
# The query result also provide the count method and iterator
count = articles.count()
items = iter(articles)
Complex lookups in Scan & Query
from bynamodb.filterexps import Contains, GT
keyword = 'bynamodb'
filter_exp = GT('published_at', '2014-12-01') & (
Contains('title', keyword) | Contains('content', keyword.upper()))
# Scan all articles that match the filter expression
articles = Article.scan(filter_exp)
# Query articles that match the filter expression and the author condition
author = 'Bochul Choi'
articles = Atricle.query(author__eq=author, filter_builder=filter_exp,
index_name='AuthorIndex')
Batch Writing & Batch Reading
with Article.batch_write() as batch:
batch.put_item({
'published_at': '2015-02-23',
'id': '1',
'title': 'Article 1',
'content': 'This is the content',
'author': 'Bochul Choi'
})
batch.put_item({
'published_at': '2015-02-23',
'id': '2',
'title': 'Article 2',
'content': 'This is the content',
'author': 'Bochul Choi'
})
articles = Article.batch_get(
('2015-02-23', '1'),
('2015-02-23', '2'),
)
Changelog
- 0.1.7
Skip decoding non-existent attribute.
- 0.1.6
Fix ResultSet to stop fetching items regardless of the limit param.
- 0.1.5
Add support scan_index_forward and limit pamareter for Query API.
- 0.1.4
Set ExclusiveStartKey as the untransformed LastEvaluatedKey.
- 0.1.3
Model.delete needs to use encoded key.
- 0.1.2
Model.put_item returns created item.
- 0.1.1
NumberAttribute is only saved as number in db.
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