Skip to main content

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyro_mysql-0.1.3.tar.gz (717.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyro_mysql-0.1.3-cp310-abi3-manylinux_2_34_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.10+manylinux: glibc 2.34+ x86-64

File details

Details for the file pyro_mysql-0.1.3.tar.gz.

File metadata

  • Download URL: pyro_mysql-0.1.3.tar.gz
  • Upload date:
  • Size: 717.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.9.4

File hashes

Hashes for pyro_mysql-0.1.3.tar.gz
Algorithm Hash digest
SHA256 85ff4b280317f31cda2469aea00b2642ab8231d53a6b405718416fd3dc21ed86
MD5 2c25f3fb24eea978aa5453cd6e1bc79f
BLAKE2b-256 ce9ef8911c0da2cf38302e29ede75934c7cdd8f3f59ab8b701478022fa3608fa

See more details on using hashes here.

File details

Details for the file pyro_mysql-0.1.3-cp310-abi3-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pyro_mysql-0.1.3-cp310-abi3-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 50aa05167a6510c0d677b872fb0a87ada671bfafbb5eccfd9b096097afd87faa
MD5 69464801c736e27285a97aca5e2dc8fc
BLAKE2b-256 2886c5bbe5718716be22ff928eddf85a8b10d828964d33ee0f23626ea8a84f12

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page