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High-performance MySQL driver for Python

Project description

pyro-mysql

A high-performance MySQL driver for Python, backed by Rust.

Usage

0. Import

# Async
from pyro_mysql.async_ import Conn, Pool
from pyro_mysql import AsyncConn, AsyncPool

# Sync
from pyro_mysql.sync import Conn, Transaction
from pyro_mysql import SyncConn, SyncTransaction

1. Connection

import pyro_mysql
from pyro_mysql.async_ import Conn, Pool, OptsBuilder


# Optionally configure the number of Rust threads
# pyro_mysql.init(worker_threads=1)

def example1():
    conn = await Conn.new(f"mysql://{USER}:{PASSWORD}@{HOST}:{PORT}/{DATABASE}")

def example2():
    pool = Pool(
        OptsBuilder()
            .ip_or_hostname("localhost")
            .port(3333)
            .user("username")
            .db_name("db")
            .wait_timeout(100)
            .tcp_nodelay(True)
            .compression(3)
            .build()
    )
    conn = await pool.get()

def example3(pool):
    with pool.get() as conn:
        ...

2. Query Execution

AsyncConn and AsyncTransaction provide the following methods. SyncConn, SyncPooledConn and SyncTransaction provide similar API.

# Text Protocols - supports multiple statements concatenated with ';' but accepts no arguemnt
def query(self, query: str) -> PyroFuture[list[Row]]: ...
def query_first(self, query: str) -> PyroFuture[Row | None]: ...
def query_drop(self, query: str) -> PyroFuture[None]: ...
def query_batch(self, query: str) -> PyroFuture[None]: ...

# Binary Protocols - supports arguments but no multiple statement
def exec(self, query: str, params: Params) -> PyroFuture[list[Row]]: ...
def exec_first(self, query: str, params: Params) -> PyroFuture[Row | None]: ...
def exec_drop(self, query: str, params: Params) -> PyroFuture[None]: ...
def exec_batch(self, query: str, params: Iterable[Params]) -> PyroFuture[None]: ...

# Examples
rows = await conn.exec("SELECT * FROM my_table WHERE a=? AND b=?", (a, b))
rows = await conn.exec("SELECT * FROM my_table WHERE a=:x AND b=:y AND c=:y", {'x': 100, 'y': 200})
await conn.exec_batch("SELECT * FROM my_table WHERE a=? AND b=?", [(a1, b1), (a2, b2)])

PyroFuture is a Future-like object that tracks a task in the Rust thread. When an object of PyroFuture is dropped before completion or cancellation, the corresponding task in the Rust thread is cancelled.

fut = conn.exec("SELECT ...")  # the Rust thread starts to execute the query before we await the Python future.

print(fut.get_loop())  # get the associated Python event loop
fut.cancel()  # cancels the Rust task
del fut  # this is equivalent to .cancel()

3. Transaction

# async API
async with conn.start_transaction() as tx:
    await tx.exec('INSERT ..')
    await tx.exec('INSERT ..')
    await tx.commit()  # tx cannot be used anymore
    await conn.exec(..)  # error

# sync API
with conn.start_transaction() as tx:
    tx.exec('INSERT ..')
    tx.exec('INSERT ..')
    conn.exec('INSERT ..')  # error
    tx.commit()  # tx cannot be used anymore

DataType Mapping

Python -> MySQL

Python Type MySQL Binary Protocol Encoding
None NULL
bool Int64
int Int64
float Double(Float64)
str | bytearray Bytes
tuple | list | set | frozenset | dict json-encoded string as Bytes
datetime.datetime Date(year, month, day, hour, minute, second, microsecond)
datetime.date Date(year, month, day, 0, 0, 0, 0)
datetime.time Time(false, 0, hour, minute, second, microsecond)
datetime.timedelta Time(is_negative, days, hours, minutes, seconds, microseconds)
time.struct_time Date(year, month, day, hour, minute, second, 0)
decimal.Decimal Bytes

MySQL -> Python

MySQL Column Python
NULL None
INT / TINYINT / SMALLINT / MEDIUMINT / BIGINT / YEAR int
FLOAT float
DOUBLE float
DECIMAL / NUMERIC decimal.Decimal
DATE datetime.date
TIME datetime.timedelta
DATETIME datetime.datetime
TIMESTAMP datetime.datetime
CHAR / VARCHAR / TEXT / TINYTEXT / MEDIUMTEXT / LONGTEXT str
BINARY / VARBINARY / BLOB / TINYBLOB / MEDIUMBLOB / LONGBLOB bytes
JSON the result of json.loads()
ENUM / SET str
BIT bytes
GEOMETRY bytes (WKB format)

Logging

pyro-mysql sends the Rust logs to the Python logging system, which can be configured with logging.getLogger("pyro_mysql").

# Queries are logged with the DEBUG level
logging.getLogger("pyro_mysql").setLevel(logging.DEBUG)

PEP-249, sqlalchemy

pyro_mysql.dbapi implements PEP-249. This only exists for compatibility with ORM libraries. The primary API set (pyro_mysql.sync, pyro_mysql.async_) is simpler and faster.

pyro_mysql.dbapi
    # classes
    ├─Connection
    ├─Cursor
    # exceptions
    ├─Warning
    ├─Error
    ├─IntegrityError
    ├─..

In sqlalchemy, use mysql+pyro_mysql:// or mariadb+pyro_mysql://. The supported connection parameters are the docs and capabilities (default 2).

from sqlalchemy import create_engine, text

engine = create_engine("mysql+pyro_mysql://test:1234@localhost/test")
conn = engine.connect()
cursor_result = conn.execute(text("SHOW TABLES"))
for row in cursor_result:
    print(row)
('information_schema',)
('mysql',)
('performance_schema',)
('sys',)
('test',)

To run sqlalchemy tests on pyro_mysql, use this command in the sqlalchemy repo:

pytest -p pyro_mysql.testing.sqlalchemy_pytest_plugin --dburi=mariadb+pyro_mysql://test:1234@localhost/test -v t

sqlalchemy_pytest_plugin is required to skip incompatible tests.

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