Query builder to help you construct dynamic SQL queries
Project description
SeaQuery
SeaQuery is a query builder to help you construct dynamic SQL queries in Python for PostgreSQL, MySQL, and SQLite. This project is a port of the SeaQuery.rs project to Python using PyO3.
Install
You can install the package from PyPI using pip:
pip install sea-query
Or if you are using uv:
uv add sea-query
Usage
Here are some examples of how to use SeaQuery to build SQL queries:
SELECT Query
from sea_query import Query, Expr, DBEngine
query = (
Query.select()
.all()
.from_table("table")
.and_where(Expr.column("column1").ne(1))
.and_where(Expr.column("column2").gt(2))
)
assert query.to_string(DBEngine.Postgres) == (
'SELECT * FROM "table" WHERE "column1" <> 1 AND "column2" > 2'
)
# Or if you want to use parameter bindings
assert query.build(DBEngine.Postgres) == (
'SELECT * FROM "table" WHERE "column1" <> $1 AND "column2" > $2',
[1, 2]
)
INSERT Query
from sea_query import Query, Expr, DBEngine
query = (
Query.insert()
.into("table")
.columns(["column1", "column2"])
.values([1, "str1"])
.values([2, "str2"])
)
assert query.to_string(DBEngine.Postgres) == (
'INSERT INTO "table" ("column1", "column2") VALUES (1, \'str1\'), (2, \'str2\')'
)
# With parameter bindings
assert query.build(DBEngine.Postgres) == (
'INSERT INTO "table" ("column1", "column2") VALUES ($1, $2), ($3, $4)',
[1, "str1", 2, "str2"],
)
UPDATE Query
from sea_query import Query, Expr, DBEngine
query = (
Query.update()
.table("table")
.value("column", 1)
.cond_where(
Condition.any()
.add(Expr.column("column2").eq("value"))
.add(Expr.column("column3").eq(3))
)
)
assert query.to_string(DBEngine.Postgres) == (
'UPDATE "table" SET "column" = 1 WHERE "column2" = \'value\' OR "column3" = 3'
)
DELETE Query
from sea_query import Query, Expr, DBEngine
query = (
Query.delete()
.from_table("table")
.and_where(Expr.column("column1").eq(1))
)
assert query.to_string(DBEngine.Postgres) == (
'DELETE FROM "table" WHERE "column1" = 1'
)
Table Create
from sea_query import Table, Column, DBEngine
statement = (
Table.create()
.name("users")
.column(Column("id").big_integer().primary_key().auto_increment())
.column(
Column("name").string().string_len(128).not_null().default(Expr.value(""))
)
.column(Column("email").string().string_len(255).null().unique())
)
assert statement.to_string(DBEngine.Postgres) == (
'CREATE TABLE "users" ( '
'"id" bigserial PRIMARY KEY, '
'"name" varchar(128) NOT NULL DEFAULT \'\', '
'"email" varchar(255) NULL UNIQUE '
')'
)
Table Alter
from sea_query import Table, Column, DBEngine
statement = (
Table.alter()
.table("users")
.add_column(
Column("created_at").timestamp().null()
)
)
assert statement.to_string(DBEngine.Postgres) == (
'ALTER TABLE "users" ADD COLUMN "created_at" timestamp NULL'
)
Table Drop
from sea_query import Table, DBEngine
assert (
Table.drop().table("users").to_string(DBEngine.Postgres)
== 'DROP TABLE "users"'
)
Create Index
from sea_query import Index, DBEngine
index = (
Index.create()
.name("index_name")
. table("table")
.column("col1")
.column("col2")
)
assert index.to_string(DBEngine.Postgres) == (
'CREATE INDEX "index_name" ON "table" ("col1", "col2")'
)
Drop Index
from sea_query import Index, DBEngine
index = (
Index.drop().name("index_name").table("table")
)
assert index.to_string(DBEngine.Postgres) == (
'DROP INDEX "index_name"'
)
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