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<!doctype html>
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<title>SQLAlchemy & Odin Data Access</title>
<meta name="author" content="Simeon Simeonov">
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<section>
<h2>SQLAlchemy & Odin Data Access</h2>
<h4>Fifty Data Science</h4>
</br>
<p><small>Simeon Simeonov</small></p>
</section>
<section>
<section id="fragments">
<h2>Agenda</h2>
</br>
<ul>
<span class="fragment"><li>SQLAlchemy - Design & overview</li></span>
<span class="fragment"><li>SQLAlchemy - A small practical example</li></span>
<span class="fragment"><li>Odin Data Access - Overview and examples</li></span>
<span class="fragment"><li>Q & A</li></span>
</ul>
</section>
</section>
<section>
<h2>What is SQLAlchemy?</h2>
</br>
<p><em>SQLAlchemy</em> is a Python library created by Mike Bayer to provide a high-level Pythonic interface to RDBMS such as <em>PostgreSQL</em>, <em>SQLite</em>, <em>MySQL</em>, <em>Oracle</em>, <em>DB2</em>.</p>
<p><em>SQLAlchemy</em> includes RDBMS-independent SQL expression language and an <em>object-relational mapper (ORM)</em>.</p>
</section>
<section>
<h2>Why use SQLAlchemy?</h2>
</br>
<ul>
<li><p>portability - the programming interface is independent of the type of RDBMS and connector used</p></li>
<li><p>security - no more SQL injections</p></li>
<li><p>abstraction - no need to bother with complex JOINs</p></li>
<li><p>object-orientation - you work with objects and NOT tables and rows</p></li>
<li><p>performance - exploits the likehood of reusing a particular query</p></li>
<li><p>flexibility - you can override almost anything</p></li>
</ul>
</section>
<section>
<h2>Basic architecture</h2>
<p><em>SQLAlchemy</em> consists of several components, including the the <em>ORM</em>.</p>
<ul>
<li><em>Engine</em>- manages the connection pool and the RDBMS-independent SQL dialect layer</li>
<li><em>MetaData</em> - used to collect and organize information about your table layout (schema)</li>
<li><em>Session</em> - establishes all conversations with the RDBMS and represents a "holding zone" for all the objects which you've loaded or associated with it during its lifespan</li>
<li><em>SQL expression language</em> - provides an API to execute your queries and updates against your tables, all from Python, and all in a database-independent way (low-level interface)</li>
<li><em>ORM</em> - provides a convenient way to add database persistence to your Python objects withoutrequiring you to design your objects around the database, or the database around the objects (high-level interface)</li>
</ul>
<img src="images/sqlalchemy/sqla_arch.png"></img>
</section>
<section data-auto-animate>
<h2>Example</h2>
<p><em>SQLAlchemy</em> gives us the choice between <em>classical mapping</em> and the newer <em>declarative mapping</em></p>
<pre data-id="code-animation">
<code class="python" data-trim data-line-numbers type="text/template">
import sqlalchemy
sqlalchemy.__version__
from sqlalchemy import create_engine
# engine = create_engine("postgresql+psycopg2://user:zipassword@localhost/mydb" , echo=True)
# The string form of the URL is dialect+driver://user:password@host/dbname[?key=value..],
# where dialect is a database name such as mysql, oracle, postgresql, etc.,
# and driver the name of a DBAPI, such as psycopg2, pyodbc, cx_oracle
# The echo flag is a shortcut to setting up SQLAlchemy logging,
# which is accomplished via Python’s standard logging module.
# With it enabled, we’ll see all the generated SQL produced.
# engine = create_engine("sqlite:///library.db", echo=True)
engine = create_engine("sqlite:///:memory:", echo=True)
metadata = MetaData()
from sqlalchemy import Table, Column, Integer, String, MetaData, ForeignKey
authors_table = Table(
"authors",
metadata,
Column("id", Integer, primary_key=True),
Column("name", String),
) # Column("name", String(50)) is possible
books_table = Table(
"books",
metadata,
Column("id", Integer, primary_key=True),
Column("title", String),
Column("description", String),
Column("author_id", ForeignKey('authors.id')),
)
metadata.create_all(engine) # creates the tables
</code>
</pre>
</section>
<section data-auto-animate>
<h2>Example (cont...)</h2>
<h4 data-id="code-title">Use of <em>SQL expression language</em></h4>
<pre data-id="code-animation">
<code class="python" data-trim data-line-numbers type="text/template">
insert_stmt = authors_table.insert(bind=engine)
type(insert_stmt)
# Out: <class 'sqlalchemy.sql.expression.Insert'>
print(insert_stmt)
# Out: INSERT INTO authors (id, name) VALUES (:id,:name)
compiled_stmt = insert_stmt.compile()
print(compiled_stmt.params)
# Out: {'id': None, 'name': None}
insert_stmt.execute(name="Alexandre Dumas") # insert a single entry
insert_stmt.execute([{"name": 'Mr X'},{'name': 'Mr Y'}]) # a list of entries
metadata.bind = engine # no need to explicitly bind the engine from now on
select_stmt = authors_table.select(authors_table.c.id==2)
result = select_stmt.execute()
result.fetchall()
# Out: [(1, u'Mr X')]
del_stmt = authors_table.delete()
del_stmt.execute(whereclause=text("name='Mr Y'"))
del_stmt.execute() # delete all
</code>
</pre>
</section>
<section data-auto-animate>
<h2>Example (cont...)</h2>
<h4 data-id="code-title">Use of <em>classical mapping</em></h4>
<pre data-id="code-animation">
<code class="python" data-trim data-line-numbers type="text/template">
from sqlalchemy.orm import mapper
from sqlalchemy.orm import relationship, backref
class Author:
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
class Book:
def __init__(self, title, description, author):
self.title = title
self.description = description
self.author = author
def __str__(self):
return self.title
mapper(Book, books_table)
mapper(Author, authors_table, properties = {"books": relation(Book, backref="author")})
</code>
</pre>
</section>
<section data-auto-animate>
<h2>Example (cont...)</h2>
<h4 data-id="code-title">Doing the same thing the easy way with <em>declarative mapping</em></h4>
<pre data-id="code-animation">
<code class="python" data-trim data-line-numbers type="text/template">
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, backref
Base = declarative_base()
class Author(Base):
__tablename__ = "authors"
id = Column(Integer, primary_key=True)
name = Column(String)
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
class Book(Base):
__tablename__ = "books" # self.__table__ will be available for our objects
id = Column(Integer, primary_key=True)
title = Column(String)
description = Column(String)
author_id = Column(Integer, ForeignKey("authors.id"))
author = relationship(Author, backref=backref("books", order_by=title))
def __init__(self, title, description, author):
self.title = title
self.description = description
self.author = author
def __str__(self):
return self.title
Base.metadata.create_all(engine)# create tables
</code>
</pre>
</section>
<section data-auto-animate>
<h2>Example (cont...)</h2>
<h4 data-id="code-title">Creating instances</h4>
<pre data-id="code-animation">
<code class="python" data-trim data-line-numbers type="text/template">
from sqlalchemy.orm import sessionmaker
Session = sessionmaker(bind=engine) # bound session
session = Session()
author_1 = Author("Richard Dawkins")
author_2 = Author("Matt Ridley")
book_1 = Book("The Red Queen", "A popular science book", author_2)
book_2 = Book("The Selfish Gene", "A popular science book", author_1)
book_3 = Book("The Blind Watchmaker", "The theory of evolutio", author_1) # typo
session.add(author_1)
session.add(author_2)
session.add(book_1)
session.add(book_2)
session.add(book_3) # or simply session.add_all([author_1, author_2, book_1, book_2, book_3])
# session.flush()
session.commit() # flushes (issues the statements and sends them to the RDBMS) and commits
book_3.description = "The theory of evolution" # update the object
book_3 in session # check whether the object is in the session
# Out: True
session.commit()
</code>
</pre>
</section>
<section data-auto-animate>
<h2>Example (cont...)</h2>
<h4 data-id="code-title">Queries</h4>
<pre data-id="code-animation">
<code class="python" data-trim data-line-numbers type="text/template">
session.query(Book).order_by(Book.id) # returns a Query instance with a .statement attribute
session.query(Book).order_by(Book.id).all() # returns an object-list
# return all book objects where title == "The Selfish Gene"
session.query(Book).filter(Book.title == "The Selfish Gene").order_by(Book.id).all()
# using LIKE
session.query(Book).filter(Book.title.like("The%")).order_by(Book.id).all()
query = session.query(Book).filter(Book.id == 9).order_by(Book.id)
query.count() # returns 0L
query.all() # returns an empty list
query.first() # returns None
query.one() # raises NoResultFound exception
query = session.query(Book).filter(Book.id == 1).order_by(Book.id)
book_1 = query.one()
book_1.description # returns "A popular science book"
book_1.author.books # returns a list of Book-objects representing all the books from the same author.
# get a list of all Book-instances where the author"s name is "Richard Dawkins"
session.query(Book).filter(Book.author_id == Author.id).filter(Author.name == "Richard Dawkins").all()
session.query(Book).join(Author).filter(Author.name == "Richard Dawkins").all()
session.query(Book).\
from_statement("SELECT b.* FROM books b, authors a WHERE b.author_id = a.id AND a.name=:name").\
params(name="Richard Dawkins").all()
</code>
</pre>
</section>
<section data-background="http://i.giphy.com/90F8aUepslB84.gif">
<h2>... simply amazing!</h2>
</section>
<section>
<h2>Odin Data Access</h2>
<p><a href="https://gitlab.fifty.eu/odin/data-science/odin-data-access">https://gitlab.fifty.eu/odin/data-science/odin-data-access</a></p>
<p>Provides the <em>odin_data_access</em> module with some of the following entities:</p>
<ul>
<li><em>session</em> module for creating Session objects in a Fifty environment via <em>get_session</em> and <em>get_session_from_env</em></li>
<li><em>DBBase</em> - a tiny base-class that can be used as a mixin for mapping</li>
<li><em>DBTableAccessor</em> - tiny wrapper for <em>Session</em> and <em>Table</em> as well a "facade" for <em>Query</em> and <em>pandas</em></li>
</ul>
<p>The <em>DBTableAccessor</em>:</p>
<ul>
<li>represents a single RDBMS-table that is introspected during instance initialization (<em>__init__</em>)</li>
<li>uses a mix of <em>ORM</em> and <em>SQL expression language</em> functionality</li>
<li>contins a mapper for mapping custom classes to its corresponding <em>Table</em></li>
<span class="fragment"><li>used by Batman and Chuck Norris (source: incomplete Google search)</li></span>
</ul>
</section>
<section>
<h1>Demo</h1>
<p>Now watch this well-rehearsed demo...</p>
</section>
<section>
<h1>Q & A</h1>
</section>
</div>
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