{"id":1082625,"date":"2025-01-08T12:50:37","date_gmt":"2025-01-08T04:50:37","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1082625.html"},"modified":"2025-01-08T12:50:40","modified_gmt":"2025-01-08T04:50:40","slug":"python%e5%a6%82%e4%bd%95%e5%a4%84%e7%90%86%e5%8d%83%e4%b8%87%e6%9d%a1mysql%e6%95%b0%e6%8d%ae-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1082625.html","title":{"rendered":"python\u5982\u4f55\u5904\u7406\u5343\u4e07\u6761mysql\u6570\u636e"},"content":{"rendered":"

\"python\u5982\u4f55\u5904\u7406\u5343\u4e07\u6761mysql\u6570\u636e\"<\/p>\n

Python\u5904\u7406\u5343\u4e07\u6761MySQL\u6570\u636e\u7684\u5173\u952e\u5728\u4e8e\uff1a\u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u3001\u4f18\u5316SQL\u67e5\u8be2\u3001\u4f7f\u7528\u5206\u9875\u6216\u6279\u91cf\u5904\u7406\u3001\u5229\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u3001\u6570\u636e\u7f13\u5b58\u4e0e\u7d22\u5f15\u4f18\u5316\u3002<\/strong> \u5176\u4e2d\uff0c\u4f18\u5316SQL\u67e5\u8be2\u662f\u6700\u4e3a\u91cd\u8981\u7684\u4e00\u70b9\u3002\u4f18\u5316SQL\u67e5\u8be2\u53ef\u4ee5\u901a\u8fc7\u9009\u62e9\u5408\u9002\u7684\u5b57\u6bb5\u3001\u4f7f\u7528\u7d22\u5f15\u3001\u907f\u514d\u5168\u8868\u626b\u63cf\u7b49\u65b9\u6cd5\uff0c\u6709\u6548\u5730\u63d0\u9ad8\u67e5\u8be2\u901f\u5ea6\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u5e93\u8fde\u63a5\u5e93<\/p>\n<\/p>\n

Python\u4e2d\u5e38\u7528\u7684MySQL\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u5305\u62ecMySQLdb<\/code>\u3001pymysql<\/code>\u548cSQLAlchemy<\/code>\u3002\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u9009\u62e9\u4e00\u4e2a\u9ad8\u6548\u4e14\u7a33\u5b9a\u7684\u8fde\u63a5\u5e93\u975e\u5e38\u91cd\u8981\u3002SQLAlchemy<\/code>\u4e0d\u4ec5\u652f\u6301ORM\uff08\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\uff09\uff0c\u8fd8\u652f\u6301\u539f\u751fSQL\u67e5\u8be2\uff0c\u7075\u6d3b\u6027\u8f83\u9ad8\uff0c\u662f\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u4e00\u4e2a\u4e0d\u9519\u9009\u62e9\u3002<\/p>\n<\/p>\n

from sqlalchemy import create_engine<\/p>\n
from sqlalchemy.orm import sessionmaker<\/p>\n
engine = create_engine('mysql+pymysql:\/\/user:password@host\/dbname')<\/p>\n
Session = sessionmaker(bind=engine)<\/p>\n
session = Session()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f18\u5316SQL\u67e5\u8be2<\/p>\n<\/p>\n
\u4f18\u5316SQL\u67e5\u8be2\u662f\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u5173\u952e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316SQL\u67e5\u8be2\u7684\u5e38\u7528\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
    \n
  1. \u9009\u62e9\u5408\u9002\u7684\u5b57\u6bb5<\/strong>\uff1a\u53ea\u67e5\u8be2\u5fc5\u8981\u7684\u5b57\u6bb5\uff0c\u907f\u514d\u67e5\u8be2\u4e0d\u9700\u8981\u7684\u6570\u636e\u3002<\/li>\n
  2. \u4f7f\u7528\u7d22\u5f15<\/strong>\uff1a\u4e3a\u5e38\u7528\u7684\u67e5\u8be2\u6761\u4ef6\u6dfb\u52a0\u7d22\u5f15\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u67e5\u8be2\u901f\u5ea6\u3002<\/li>\n
  3. \u907f\u514d\u5168\u8868\u626b\u63cf<\/strong>\uff1a\u4f7f\u7528\u5408\u9002\u7684\u6761\u4ef6\u8fc7\u6ee4\u6570\u636e\uff0c\u907f\u514d\u5168\u8868\u626b\u63cf\u3002<\/li>\n
  4. \u5206\u9875\u67e5\u8be2<\/strong>\uff1a\u4f7f\u7528LIMIT<\/code>\u548cOFFSET<\/code>\u8fdb\u884c\u5206\u9875\u67e5\u8be2\uff0c\u907f\u514d\u4e00\u6b21\u6027\u67e5\u8be2\u5927\u91cf\u6570\u636e\u3002<\/li>\n<\/ol>\n
    SELECT field1, field2 FROM table_name WHERE condition LIMIT 1000 OFFSET 0;<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e09\u3001\u4f7f\u7528\u5206\u9875\u6216\u6279\u91cf\u5904\u7406<\/p>\n<\/p>\n
    \u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u4e00\u6b21\u6027\u52a0\u8f7d\u6240\u6709\u6570\u636e\u5230\u5185\u5b58\u4e2d\u662f\u4e0d\u73b0\u5b9e\u7684\u3002\u53ef\u4ee5\u4f7f\u7528\u5206\u9875\u6216\u6279\u91cf\u5904\u7406\u7684\u65b9\u5f0f\uff0c\u5c06\u6570\u636e\u5206\u6279\u52a0\u8f7d\u5e76\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u5206\u9875\u67e5\u8be2\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    def fetch_data_in_batches(session, batch_size):<\/p>\n
        offset = 0<\/p>\n
        while True:<\/p>\n
            query = session.execute(f"SELECT * FROM table_name LIMIT {batch_size} OFFSET {offset}")<\/p>\n
            results = query.fetchall()<\/p>\n
            if not results:<\/p>\n
                break<\/p>\n
            yield results<\/p>\n
            offset += batch_size<\/p>\n
    for batch in fetch_data_in_batches(session, 1000):<\/p>\n
        for row in batch:<\/p>\n
            process_data(row)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u56db\u3001\u5229\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b<\/p>\n<\/p>\n
    \u5229\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528concurrent.futures<\/code>\u5e93\u8fdb\u884c\u591a\u7ebf\u7a0b\u5904\u7406\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    import concurrent.futures<\/p>\n
    def process_data_in_thread(data_batch):<\/p>\n
        for row in data_batch:<\/p>\n
            process_data(row)<\/p>\n
    with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor:<\/p>\n
        for batch in fetch_data_in_batches(session, 1000):<\/p>\n
            executor.submit(process_data_in_thread, batch)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e94\u3001\u6570\u636e\u7f13\u5b58\u4e0e\u7d22\u5f15\u4f18\u5316<\/p>\n<\/p>\n
      \n
    1. \u6570\u636e\u7f13\u5b58<\/strong>\uff1a\u5bf9\u4e8e\u4e00\u4e9b\u4e0d\u7ecf\u5e38\u53d8\u5316\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u5c06\u67e5\u8be2\u7ed3\u679c\u7f13\u5b58\u5230\u5185\u5b58\u4e2d\uff0c\u907f\u514d\u9891\u7e41\u67e5\u8be2\u6570\u636e\u5e93\u3002<\/li>\n
    2. \u7d22\u5f15\u4f18\u5316<\/strong>\uff1a\u5408\u7406\u8bbe\u8ba1\u6570\u636e\u5e93\u7d22\u5f15\uff0c\u907f\u514d\u8fc7\u591a\u6216\u8fc7\u5c11\u7684\u7d22\u5f15\u3002\u7d22\u5f15\u8fc7\u591a\u4f1a\u5f71\u54cd\u63d2\u5165\u548c\u66f4\u65b0\u64cd\u4f5c\u7684\u6027\u80fd\uff0c\u7d22\u5f15\u8fc7\u5c11\u4f1a\u5f71\u54cd\u67e5\u8be2\u6027\u80fd\u3002<\/li>\n<\/ol>\n
      \u516d\u3001\u6570\u636e\u5e93\u8fde\u63a5\u6c60<\/p>\n<\/p>\n
      \u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u9891\u7e41\u5efa\u7acb\u548c\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u4f1a\u589e\u52a0\u7cfb\u7edf\u5f00\u9500\u3002\u4f7f\u7528\u6570\u636e\u5e93\u8fde\u63a5\u6c60\u53ef\u4ee5\u6709\u6548\u5730\u7ba1\u7406\u548c\u590d\u7528\u6570\u636e\u5e93\u8fde\u63a5\uff0c\u51cf\u5c11\u5f00\u9500\uff0c\u63d0\u9ad8\u6548\u7387\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528sqlalchemy<\/code>\u8fde\u63a5\u6c60\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
      from sqlalchemy.pool import QueuePool<\/p>\n
      engine = create_engine('mysql+pymysql:\/\/user:password@host\/dbname', poolclass=QueuePool, pool_size=10)<\/p>\n
      Session = sessionmaker(bind=engine)<\/p>\n
      session = Session()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e03\u3001\u6570\u636e\u5206\u7247<\/p>\n<\/p>\n
      \u5728\u5904\u7406\u6d77\u91cf\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u5c06\u6570\u636e\u6309\u4e00\u5b9a\u89c4\u5219\u8fdb\u884c\u5206\u7247\uff08Sharding\uff09\uff0c\u5c06\u4e0d\u540c\u7684\u6570\u636e\u7247\u5b58\u50a8\u5230\u4e0d\u540c\u7684\u6570\u636e\u5e93\u5b9e\u4f8b\u4e2d\uff0c\u4ece\u800c\u5206\u6563\u8d1f\u8f7d\uff0c\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u6309\u65e5\u671f\u5206\u7247\uff0c\u5c06\u4e0d\u540c\u65f6\u95f4\u7684\u6570\u636e\u5b58\u50a8\u5230\u4e0d\u540c\u7684\u6570\u636e\u5e93\u8868\u4e2d\u3002<\/p>\n<\/p>\n
      \u516b\u3001\u6570\u636e\u9884\u5904\u7406<\/p>\n<\/p>\n
      \u5728\u6570\u636e\u5904\u7406\u4e4b\u524d\uff0c\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\uff0c\u53bb\u9664\u65e0\u6548\u6570\u636e\u3001\u683c\u5f0f\u5316\u6570\u636e\u7b49\u3002\u6570\u636e\u9884\u5904\u7406\u53ef\u4ee5\u51cf\u5c11\u540e\u7eed\u5904\u7406\u7684\u590d\u6742\u5ea6\uff0c\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\uff1a<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      data = pd.read_sql("SELECT * FROM table_name", engine)<\/p>\n
      data = data.dropna()  # \u53bb\u9664\u7a7a\u503c<\/p>\n
      data['field'] = data['field'].apply(lambda x: x.strip())  # \u53bb\u9664\u5b57\u6bb5\u4e2d\u7684\u7a7a\u683c<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e5d\u3001\u76d1\u63a7\u4e0e\u8c03\u4f18<\/p>\n<\/p>\n
      \u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u76d1\u63a7\u7cfb\u7edf\u6027\u80fd\u548c\u6570\u636e\u5e93\u6027\u80fd\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u53ef\u4ee5\u4f7f\u7528\u76d1\u63a7\u5de5\u5177\uff08\u5982Prometheus<\/code>\u3001Grafana<\/code>\uff09\u76d1\u63a7\u7cfb\u7edf\u8d44\u6e90\u4f7f\u7528\u60c5\u51b5\uff0c\u53ca\u65f6\u53d1\u73b0\u548c\u89e3\u51b3\u6027\u80fd\u74f6\u9888\u3002\u540c\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u5206\u6790\u6570\u636e\u5e93\u6267\u884c\u8ba1\u5212\uff08\u5982EXPLAI<\/a>N<\/code>\u547d\u4ee4\uff09\uff0c\u4f18\u5316SQL\u67e5\u8be2\u548c\u7d22\u5f15\u8bbe\u8ba1\u3002<\/p>\n<\/p>\n
      \u5341\u3001\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u6846\u67b6<\/p>\n<\/p>\n
      \u5bf9\u4e8e\u8d85\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u6846\u67b6\uff08\u5982Apache Hadoop<\/code>\u3001Apache Spark<\/code>\uff09\u8fdb\u884c\u5904\u7406\u3002\u5206\u5e03\u5f0f\u8ba1\u7b97\u6846\u67b6\u53ef\u4ee5\u5c06\u6570\u636e\u5206\u5e03\u5230\u591a\u4e2a\u8282\u70b9\u4e0a\u8fdb\u884c\u5e76\u884c\u5904\u7406\uff0c\u5927\u5927\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002<\/p>\n<\/p>\n
      \u603b\u7ed3<\/p>\n<\/p>\n
      Python\u5904\u7406\u5343\u4e07\u6761MySQL\u6570\u636e\u7684\u5173\u952e\u5728\u4e8e\uff1a\u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u3001\u4f18\u5316SQL\u67e5\u8be2\u3001\u4f7f\u7528\u5206\u9875\u6216\u6279\u91cf\u5904\u7406\u3001\u5229\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u3001\u6570\u636e\u7f13\u5b58\u4e0e\u7d22\u5f15\u4f18\u5316\u3002\u901a\u8fc7\u5408\u7406\u7684\u8bbe\u8ba1\u548c\u4f18\u5316\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\uff0c\u63d0\u9ad8\u7cfb\u7edf\u6027\u80fd\u548c\u5904\u7406\u6548\u7387\u3002<\/p>\n<\/p>\n
      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
       \u5982\u4f55\u4f7f\u7528Python\u8fde\u63a5MySQL\u6570\u636e\u5e93\u4ee5\u5904\u7406\u5927\u91cf\u6570\u636e\uff1f<\/strong>
      \u4f7f\u7528Python\u5904\u7406\u5343\u4e07\u6761MySQL\u6570\u636e\u7684\u7b2c\u4e00\u6b65\u662f\u901a\u8fc7\u9002\u5f53\u7684\u5e93\u8fde\u63a5\u5230\u6570\u636e\u5e93\u3002\u5e38\u7528\u7684\u5e93\u5305\u62ecmysql-connector-python<\/code>\u548cSQLAlchemy<\/code>\u3002\u60a8\u9700\u8981\u5b89\u88c5\u8fd9\u4e9b\u5e93\u5e76\u4f7f\u7528\u8fde\u63a5\u5b57\u7b26\u4e32\u5efa\u7acb\u8fde\u63a5\u3002\u786e\u4fdd\u5728\u8fde\u63a5\u65f6\u8bbe\u7f6e\u9002\u5f53\u7684\u53c2\u6570\uff0c\u4f8b\u5982\u7528\u6237\u540d\u3001\u5bc6\u7801\u548c\u6570\u636e\u5e93\u540d\u79f0\u3002\u6b64\u5916\uff0c\u8003\u8651\u4f7f\u7528\u8fde\u63a5\u6c60\u4ee5\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002<\/p>\n
      \u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u5982\u4f55\u4f18\u5316MySQL\u67e5\u8be2\u6027\u80fd\uff1f<\/strong>
      \u4e3a\u4e86\u4f18\u5316MySQL\u67e5\u8be2\u6027\u80fd\uff0c\u53ef\u4ee5\u8003\u8651\u591a\u79cd\u7b56\u7565\u3002\u4f8b\u5982\uff0c\u786e\u4fdd\u6570\u636e\u5e93\u8868\u4e2d\u6709\u5408\u9002\u7684\u7d22\u5f15\uff0c\u8fd9\u6837\u53ef\u4ee5\u52a0\u901f\u67e5\u8be2\u6267\u884c\u3002\u4f7f\u7528EXPLAIN\u8bed\u53e5\u5206\u6790\u67e5\u8be2\u8ba1\u5212\uff0c\u627e\u51fa\u6f5c\u5728\u7684\u6027\u80fd\u74f6\u9888\u3002\u540c\u65f6\uff0c\u5c3d\u91cf\u907f\u514d\u5728SQL\u8bed\u53e5\u4e2d\u4f7f\u7528SELECT *\uff0c\u800c\u662f\u9009\u62e9\u5fc5\u8981\u7684\u5b57\u6bb5\uff0c\u4ee5\u51cf\u5c11\u6570\u636e\u4f20\u8f93\u91cf\u3002\u6b64\u5916\uff0c\u4f7f\u7528LIMIT\u548cOFFSET\u53ef\u4ee5\u5206\u6279\u83b7\u53d6\u6570\u636e\uff0c\u907f\u514d\u4e00\u6b21\u6027\u52a0\u8f7d\u8fc7\u591a\u8bb0\u5f55\u3002<\/p>\n
      Python\u4e2d\u6709\u54ea\u4e9b\u9ad8\u6548\u7684\u5e93\u53ef\u4ee5\u5904\u7406\u5927\u91cf\u6570\u636e\uff1f<\/strong>
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