Compose raw SQL queries in ORM-like fashion
Project description
SQL Composer
SQL Composer is SQL query builder for people who love raw SQL and just need a little "something" to make it composable. SQL Composer is this little "something".
With SQL builder you write raw SQL queries in ordinary .sql files and add composable bits which you enable with help of SQL composer.
Any variables which you need to substitute should be passed to SQL Composer when enabling a part of your query. This way SQL can do-the-right-thing and substitute them with database-specific named placeholders, which will be properly escaped by the underlying database. When using this technique, you don't have to worry about SQL Injection attacks.
Below are some scenarios where SQL builder is especially useful.
NOTE: we're using sqlite dialect of SQL in below examples.
Preparing Query Builder
First we need to create some SQL scripts. They can be ordinary raw SQL files, but this would be no fun, as they could be simply read and sent to the engine.
Instead we'll annotate our scripts with subqueries. Subqueries are replacements, typically written at the top of the script, which SQL Composer uses to replace parts of the query.
Subqueries are SQL comments, starting with two dashes --
, followed by the
sub
string, followed by the subquery name, followed by the colon :
,
followed by the actual SQL string. For example:
-- insert_feeds.sql
-- sub values: {binds}
-- sub and_return: RETURNING id, name, rss
INSERT INTO feeds(name, rss)
VALUES {values}
{and_return}
Above script has two subqueries which might be replaced: values
and
and_return
. Let's also create a second query which we'll need later:
-- get_feeds.sql
-- sub where_rss_is: AND rss = :url
-- sub where_name_is: AND name = :name
-- sub where_name_is_in: AND name IN ({names})
-- sub order_by: ORDER BY {what}
SELECT id, name, rss
FROM feeds
WHERE
true
{where_rss_is}
{where_name_is}
{where_name_is_in}
{order_by}
Now we need to initialize instance of QueryLoader
and tell it
where to search for the scripts.
Depending on how you'd like to distribute your application, QueryLoader
might load scripts either from a package or ordinary directory.
Loading from the Package
Let's say that you'd like to distribute SQL scripts together with your
application in a single Python package. In that case, you should create a
sub-package inside your application's package. You do this by creating a
subdirectory in the source tree of your application and by putting
__init__.py
file inside there. You might end up with a directory structure
like this:
.
+- src/
+- myapp/
+- __init__.py
+- app.py
+- queries/
+- __init__.py
+- insert_feeds.sql
+- get_feeds.sql
+- pyproject.toml
In this case you should initialize QueryLoader like this:
from sqlcomposer import QueryLoader
loader = QueryLoader(package="myapp.queries")
Loading from the Path
Alternatively you can pass a path to the directory which contains your SQL scripts. Both absolute and relative paths are accepted.
from sqlcomposer import QueryLoader
loader = QueryLoader(path="/home/user/myapp/src/myapp/queries")
Preparing the query
To load a query, simply call a method on QueryLoader's instance with the name of the file:
get_feeds = loader.get_feeds()
Now we can easily compose parts of this query. For example if we'd like to filter only feeds with specific names and make sure they're ordered by name:
get_feeds = loader.get_feeds()
get_feeds.where_name_is(name="foo").order_by(what="name")
cursor.execute(get_feeds.sql(), get_feeds.params)
get_feeds.sql()
produces the following query:
SELECT id, name, rss
FROM feeds
WHERE
true
AND name = :name
ORDER BY name
Alternatively we may decide to fetch feeds with names from a set of values:
from sqlcomposer import QueryLoader, Another
get_feeds = loader.get_feeds()
get_feeds.where_name_is_in(names=Another("foo", "bar", "baz")).order_by(what="name")
cursor.execute(get_feeds.sql(), get_feeds.params)
# or alternatively:
get_feeds = loader.get_feeds()
for name in ["foo", "bar", "baz"]:
get_feeds.where_name_is_in(names=Another("foo"))
get_feeds.order_by(what="name")
cursor.execute(get_feeds.sql(), get_feeds.params)
Here we wrap the set of values in Another()
object. This is a way of
telling SQL Composer that we want to create a separate placeholder for each
value inside it and put them in place of {names}
substitution in
where_name_is_in
subquery. We can repeat adding more values wrapped in
Another()
object and they will be added to the values added previously, as
presented in the alternative form of this query.
If we called where_name_is(names="foo")
(i.e. with a value not wrapped
inside Another()
object), it'd overwrite the previous setup.
Above code produces the following query:
SELECT id, name, rss
FROM feeds
WHERE
true
AND name IN (:names_p1_0, :names_p1_1, :names_p1_2)
ORDER BY name
If you inspect the get_feeds.params
, you'll see that it is a dictionary
with your values mapped to the names of placeholders in produced SQL query.
{ 'names_p1_0': 'foo', 'names_p1_1': 'bar', 'names_p1_2': 'baz' }
Bulk Inserts
Bulk operations (like inserts) requre a little different syntax, where each
inserted row is enclosed in parentheses. SQL Composer supports this with
by enclosing the row values in AnotherGroup()
object. Here's the example:
objects_to_insert = [
{"name": "foo", "rss": "https://example.com/foo.xml"},
{"name": "bar", "rss": "https://example.com/bar.xml"},
]
insert_feeds = loader.insert_feeds().and_return()
for obj in objects_to_insert:
insert_feeds.values(binds=AnotherGroup(obj["name"], obj["rss"]))
cursor.execute(insert_feeds.sql(), insert_feeds.params)
This produces the following query:
INSERT INTO feeds(name, rss)
VALUES (:names_p1_0, :names_p1_1), (:names_p2_0, :names_p2_1)
RETURNING id, name, rss
Simple Initialization
Some simple queries might not require any substitutions, but for clarity or other reasons you might want to use SQL Composer for them anyway. Suppose we have this script:
-- add_user.sql
INSERT INTO users(name, password)
VALUES :name, :username
You can use by passing necessary variables to the method which initializes
the script (add_user()
here). It is much simpler and clearer than embedding
the query inside your code.
add_user = loader.add_user(name="alice", password="hunter1")
cursor.execute(add_user.sql(), add_user.params)
Alternatively:
add_user = loader.add_user()
add_user.update_params(name="alice", password="hunter1")
cursor.execute(add_user.sql(), add_user.params)
Simplifying SQL
Normally sql()
function doesn't touch the formatting of the output query.
If you pass simplify=True
to it, it'll remove all lines which start with a
double dash (comments) and will put the whole query in a single line.
add_user = loader.add_user(name="alice", password="hunter1")
print(add_user.sql())
This should output:
INSERT INTO users(name, password) VALUES :name, :username
Keep in mind that this won't remove any inline comments, so you might end up with accidentally breaking half of your query if you use them.
Query Copying
Sometimes you might want to execute some very similar queries but with different values passed to them. This is especially useful when your database engine has a limit on number of rows you can insert or on the size of the query. Usually in these cases big queries are split into many smaller queries.
If you'd use a single query, then in some cases, especially if you use
Another()
and AnotherGroup()
features, you could end up with duplicates
in your database from earlier queries.
Solution to this is to initialize common pieces of query once and then copy it when needed. For example:
insert_feeds = loader.insert_feeds().and_return()
for chunk in split_list(very_large_list_of_feeds):
insert_copy = insert_feeds.copy()
for obj in chunk:
insert_copy.values(binds=AnotherGroup(obj["name"], obj["rss"]))
cursor.execute(insert_copy.sql(), insert_copy.params)
Dialects
Different databases and their drivers might use a different flavours of SQL. For this reason SQL Composer allows specifying a dialect which it should use for some parts of built query.
loader = QueryLoader(package=queries, dialect="postgres")
Supported dialects are:
- sqlite (default)
- named placeholders have form
:name
- named placeholders have form
- postgres
- named placeholders have form
%(name)s
- named placeholders have form
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