ddb_single 0.4.12

Python DynamoDB interface, specialized in single-table design.

DynamoDB SingleTable

https://pypi.org/project/ddb-single/

Python DynamoDB interface, specialized in single-table design. DynamoDB is high-performance serverless NoSQL, but difficult to disign tables.

Single-table design needs only single table, and few GSIs (Global Secondary Indexes). It makes effective and easy to manage your whole data models for single service.

Getting Started

Install

pip install ddb-single

Start DynamoDB Local

docker run -d --rm -p 8000:8000 amazon/dynamodb-local

Init Table

from ddb_single import Table

table = Table(
    table_name="sample",
    endpoint_url="http://localhost:8000",
)
table.init()

Data Models

Each model has al least 3 keys

• primary_key ... Hash key for single item. default: pk: {__model_name__}_{uuid}
• seconday_key ... Range key for item. default: sk: {__model_name__}_item
• unique_key ... key to identify the item is the same. Mainly used to update item.

And you can set serch_key to enable search via GSI

from ddb_single import BaseModel, DBField, FieldType

class User(BaseModel):
    __table__=table
    __model_name__ = "user"
    name = DBField(unique_key=True)
    email = DBField(search_key=True)
    age = DBField(type=FieldType.NUMBER, search_key=True)
    description=DBField()

Usage

need "Qurey" object for CRUD

• query.model(foo).create
• query.model(foo).get
• query.model(foo).search
• query.model(foo).update
• query.model(foo).delete

from ddb_single import Query
query = Query(table)

Create Item

If the item with same value of unique_key already exist, exist item is updated.

user = User(name="John", email="[e-mail]", description="test")
query.model(user).create()

Then, multible items added.

pk	sk	data	name	email	description
user_xxxx	user_item		John	[e-mail]	test
user_xxxx	search_user_name	John
user_xxxx	search_user_email	[e-mail]

In addition to main item (sk=user_item), multiple item (sk=search_{__model_name__}_{field_name}) added to table. Those "search items" are used to search

The GSI DataSearchIndex is used to get "search items" to extract target's pk. Then, batch_get items by pk.

sk = hash	data = range	pk
search_user_name	John	user_xxxx
search_user_email	[e-mail]	user_xxxx

Search Items

user = query.model(User).search(User.name.eq("John"))
print(user)
# -> [{"pk":"user_xxxx", "sk":"user_item", "name":"John", "email":"[e-mail]"}]

pk_only=True to extract pk without batch_get

user_pks = query.model(User).search(User.name.eq("John"), pk_only=True)
print(user_pks)
# -> ["user_xxxx"]

Get single item

get(pk) to get single item.

user = query.model(User).get("user_xxxx")
print(user)
# -> {"pk":"user_xxxx", "sk":"user_item", "name":"John", "email":"[e-mail]"}

get_by_unique to get item by unique_key

user = query.model(User).get_by_unique("John")
print(user)
# -> {"pk":"user_xxxx", "sk":"user_item", "name":"John", "email":"[e-mail]"}

pk_only=True option in get_by_unique to get primary key without get_item

pk = query.model(User).get_by_unique("John", pk_only=True)
print(pk)
# -> "user_xxxx"

Update Item

user = query.model(User).search(User.email.eq("[e-mail]"))
new_user = User(**user[0])
new_user.email = "[e-mail]"
query.model(new_user).update()

Or use unique value to detect exist item.

new_user = User(name="John", email="[e-mail]")
query.model(new_user).update()

Then, tha value of "main item" and "seach item" changed

pk	sk	data	name	email	description
user_xxxx	user_item		John	[e-mail]	test
user_xxxx	search_user_name	John
user_xxxx	search_user_email	[e-mail]

Delete Item

user = query.model(User).search(User.email.eq("[e-mail]"))
query.model(user[0]).delete()

primary key to detect exist item.

query.model(User).delete_by_pk("user_xxxx")

or unique key

query.model(User).delete_by_unique("John")

Batch Writer

table.batch_writer() to create/update/delete multible items

• query.model(foo).create(batch=batch)
• query.model(foo).update(batch=batch)
• query.model(foo).delete(batch=batch)

Batch Create

with table.batch_writer() as batch:
    for i in range(3):
        user = User(name=f"test{i}", age=i+10)
        query.model(user).create(batch=batch)
res = query.model(User).search(User.name.begins_with("test"))
print([(r["name"], r["age"]) for r in res])
# -> [("test0", 10), ("test1", 11), ("test2", 12)]

Batch Update

with table.batch_writer() as batch:
    for i in range(3):
        user = User(name=f"test{i}", age=i+20)
        query.model(user).update(batch=batch)
res = query.model(User).search(User.name.begins_with("test"))
print([(r["name"], r["age"]) for r in res])
# -> [("test0", 20), ("test1", 21), ("test2", 22)]

Batch Delete

pks = query.model(User).search(User.name.begins_with("test"), pk_only=True)
with table.batch_writer() as batch:
    for pk in pks:
        query.model(user).delete_by_pk(pk, batch=batch)
res = query.model(User).search(User.name.begins_with("test"))
print(res)
# -> []

Relationship

Create Model

You can sat relationns to other models relation=BaseModel to set relation.

class BlogPost(BaseModel):
    __model_name__ = "blogpost"
    __table__=table
    name = DBField(unique_key=True)
    content = DBField()
    author = DBField(reletion=User)

Create Item

blogpost = BlogPost(
    name="Hello",
    content="Hello world",
    author=self.user
)
query.model(blogpost).create()

Then, tha value "reletion item" added

pk	sk	data	name	author	content
user_xxxx	user_item		John
user_xxxx	search_user_name	John
blogpost_xxxx	blogpost_item		Hello	John	Hello world
blogpost_xxxx	search_blogpost_title	Hello
blogpost_xxxx	rel_user_xxxx	author

In addition to main item (sk=blogpost_item), relation item (sk=rel_{primary_key}) added to table. The GSI DataSearchIndex is used to get "relation items" to extract target's pk. Then, batch_get items by pk.

sk = hash	data = range	pk
rel_user_xxxx	author	blogpost_xxxx

Search Relations

get_relation(model=Basemodel) to search relations

blogpost = query.model(BlogPost).get_by_unique("Hello")
blogpost = BlogPost(**blogpost)

user = query.model(blogpost).get_relation(model=User)
print(user)
# -> [{"pk":"user_xxxx", "sk":"user_item", "name":"John"}]

Also get_relation(field=DBField) to specify field

user = query.model(blogpost).get_relation(field=BlogPost.author)
print(user)
# -> [{"pk":"user_xxxx", "sk":"user_item", "name":"John"}]

Search Reference

In this library, "reference" is antonym to relation

get_reference(model=Basemodel) to search items related to the item

user = query.model(User).get_by_unique("John")
user = User(**blogpost)

blogpost = query.model(blogpost).get_reference(model=BlogPost)
print(blogpost)
# -> [{"pk":"blogpost_xxxx", "sk":"blogpost_item", "name":"Hello"}]

Also get_reference(field=DBField) to specify field

blogpost = query.model(user).get_reference(field=BlogPost.author)
print(blogpost)
# -> [{"pk":"blogpost_xxxx", "sk":"blogpost_item", "name":"Hello"}]

Update Relation

If relation key's value changed, relationship also changed.

new_user = User(name="Michael")
blogpost = query.model(BlogPost).get_by_unique("Hello")
blogpost["author"] = new_user
blogpost = BlogPost(**blogpost)

query.model(blogpost).update()

Then, "reletion item" changed

pk	sk	data	name	author	content
user_xxxx	user_item		John
user_xxxx	search_user_name	John
user_yyyy	user_item		Michael
user_yyyy	search_user_name	Michael
blogpost_xxxx	blogpost_item		Hello	Michael	Hello world
blogpost_xxxx	search_blogpost_title	Hello
blogpost_xxxx	rel_user_yyyy	author

Delete Relation

If related item deleted, relationship also deleted

query.model(user).delete_by_unique("Michael")

Then, "reletion item" deleted. But main item's value is not chenged.

pk	sk	data	name	author	content
user_xxxx	user_item		John
user_xxxx	search_user_name	John
blogpost_xxxx	blogpost_item		Hello	Michael	Hello world
blogpost_xxxx	search_blogpost_title	Hello