Skip to main content

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() with 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'),
)

ChangeLogs

0.1.0
  • NumberAttribute is only saved as number in db.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bynamodb-0.1.2.tar.gz (8.3 kB view details)

Uploaded Source

File details

Details for the file bynamodb-0.1.2.tar.gz.

File metadata

  • Download URL: bynamodb-0.1.2.tar.gz
  • Upload date:
  • Size: 8.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for bynamodb-0.1.2.tar.gz
Algorithm Hash digest
SHA256 d402b91ac3a8a9fd5dc5424ad0dfb5277c791ef752e87b47bd6c653bb05cfac5
MD5 7ab5b92cb5ef80289778a16fea32fc02
BLAKE2b-256 a46f0915b2de4f3732d8e24789ecd8a325185cd7935db55115e5f0c37a610a16

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page