升级MySQL连接器/ODBC大大降低了性能

发布于 2025-02-04 21:12:37 字数 2393 浏览 2 评论 0原文

MySQL-Connector-ODBC-8.0.19升级时, mySQL-Connector-ODBC-8.0.0.29我注意到,执行速度降低了约70%。

docker-compose.yaml

version: '3.1'

services:
  db:
    image: mysql:8.0.29-debian
    command: --default-authentication-plugin=mysql_native_password
    ports:
      - "3306:3306"
    environment:
      MYSQL_ROOT_PASSWORD: example
  test:
    build: ./

dockerfile

FROM python:3.10-bullseye

ARG odbcdlurl
RUN { apt-get update && apt install -y unixodbc-dev && wget -qO- $odbcdlurl | tar -xvz -C / --strip-components 1; } && \
    cp /lib/libmyodbc8* /usr/lib/x86_64-linux-gnu/odbc/ && \
    /bin/myodbc-installer -d -a -n "MySQL" -t "DRIVER=/usr/lib/x86_64-linux-gnu/odbc/libmyodbc8w.so;"
RUN pip3 install pyodbc==4.0.32
RUN printf '\n\
import timeit \n\
import pyodbc \n\
mysql_conn = pyodbc.connect("DRIVER=/usr/lib/x86_64-linux-gnu/odbc/libmyodbc8w.so;SERVER=db;DATABASE=sys;UID=root;PWD=example;charset=utf8mb4;") \n\
mysql_cursor = mysql_conn.cursor() \n\
mysql_cursor.execute("SET GLOBAL general_log = 1;") \n\
mysql_cursor.execute("SET global log_output = \x27table\x27;") \n\
mysql_cursor.execute("create temporary table temp(junkvarchar varchar(100));") \n\
start_time = timeit.default_timer() \n\
mysql_cursor.executemany("insert into temp(junkvarchar) values (?)", [("a"*100,) for i in range(100000)]) \n\
print(f"Elapsed Time: {timeit.default_timer() - start_time}") \n\
' >> /test.py
CMD sleep 20 && python3 '/test.py'

结果:

ODBC 8.0.19:
docker-compose down && docker-compose build --build-arg odbcdlurl=https://dev.mysql.com/get/Downloads/Connector-ODBC/8.0/mysql-connector-odbc-8.0.19-linux-glibc2.12-x86-64bit.tar.gz && docker-compose up
result: ~13 seconds

ODBC 8.0.29:
docker-compose down && docker-compose build --build-arg odbcdlurl=https://dev.mysql.com/get/Downloads/Connector-ODBC/8.0/mysql-connector-odbc-8.0.29-linux-glibc2.12-x86-64bit.tar.gz && docker-compose up
result: ~21 seconds

测试环境:

我已经在Docker Desktop 4.8.2上进行了测试(79419(79419) )Windows 10 Pro(19044.1706)以及AWS EKS和我拥有的另一台Linux Dev机器。不管Docker版本,操作系统或编排框架如何,结果似乎是一致的。

问题:

为什么会发生这种情况?如何更新我的ODBC连接器,同时也不会破坏性能?

When upgrading from mysql-connector-odbc-8.0.19 to mysql-connector-odbc-8.0.29 I am noticing a ~70% reduction in speed of execution.

docker-compose.yaml

version: '3.1'

services:
  db:
    image: mysql:8.0.29-debian
    command: --default-authentication-plugin=mysql_native_password
    ports:
      - "3306:3306"
    environment:
      MYSQL_ROOT_PASSWORD: example
  test:
    build: ./

Dockerfile

FROM python:3.10-bullseye

ARG odbcdlurl
RUN { apt-get update && apt install -y unixodbc-dev && wget -qO- $odbcdlurl | tar -xvz -C / --strip-components 1; } && \
    cp /lib/libmyodbc8* /usr/lib/x86_64-linux-gnu/odbc/ && \
    /bin/myodbc-installer -d -a -n "MySQL" -t "DRIVER=/usr/lib/x86_64-linux-gnu/odbc/libmyodbc8w.so;"
RUN pip3 install pyodbc==4.0.32
RUN printf '\n\
import timeit \n\
import pyodbc \n\
mysql_conn = pyodbc.connect("DRIVER=/usr/lib/x86_64-linux-gnu/odbc/libmyodbc8w.so;SERVER=db;DATABASE=sys;UID=root;PWD=example;charset=utf8mb4;") \n\
mysql_cursor = mysql_conn.cursor() \n\
mysql_cursor.execute("SET GLOBAL general_log = 1;") \n\
mysql_cursor.execute("SET global log_output = \x27table\x27;") \n\
mysql_cursor.execute("create temporary table temp(junkvarchar varchar(100));") \n\
start_time = timeit.default_timer() \n\
mysql_cursor.executemany("insert into temp(junkvarchar) values (?)", [("a"*100,) for i in range(100000)]) \n\
print(f"Elapsed Time: {timeit.default_timer() - start_time}") \n\
' >> /test.py
CMD sleep 20 && python3 '/test.py'

Results:

ODBC 8.0.19:
docker-compose down && docker-compose build --build-arg odbcdlurl=https://dev.mysql.com/get/Downloads/Connector-ODBC/8.0/mysql-connector-odbc-8.0.19-linux-glibc2.12-x86-64bit.tar.gz && docker-compose up
result: ~13 seconds

ODBC 8.0.29:
docker-compose down && docker-compose build --build-arg odbcdlurl=https://dev.mysql.com/get/Downloads/Connector-ODBC/8.0/mysql-connector-odbc-8.0.29-linux-glibc2.12-x86-64bit.tar.gz && docker-compose up
result: ~21 seconds

Test Environments:

I have tested on Docker Desktop 4.8.2 (79419) Windows 10 Pro (19044.1706), as well as AWS EKS, and another Linux Dev machine I have. Point being the results seem consistent regardless of Docker version, OS, or orchestration framework.

The Question:

Why is this occurring and how can I update my ODBC Connector while also not destroying performance?

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