{"id":105980,"date":"2026-09-16T13:50:43","date_gmt":"2026-09-16T05:50:43","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/105980.html"},"modified":"2026-09-16T13:50:43","modified_gmt":"2026-09-16T05:50:43","slug":"%e7%a6%bb%e7%ba%bf%e6%95%b0%e4%bb%93%e5%bc%80%e5%8f%91%e5%9f%ba%e7%a1%80%ef%bc%8c%e5%bc%80%e5%8f%91%e8%af%ad%e8%a8%80%ef%bc%88hive-sql%ef%bc%8cshell%e3%80%81python%ef%bc%89%ef%bc%8c%e5%bc%80%e5%8f%91","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/105980.html","title":{"rendered":"\u79bb\u7ebf\u6570\u4ed3\u5f00\u53d1\u57fa\u7840\uff0c\u5f00\u53d1\u8bed\u8a00\uff08Hive SQL\uff0cShell\u3001Python\uff09\uff0c\u5f00\u53d1\u73af\u5883\u9694\u79bb\uff0c\u5b8c\u6574\u5f00\u53d1\u6d41\u7a0b\uff08\u9762\u8bd5\u9ad8\u9891\u8ffd\u95ee\uff09"},"content":{"rendered":"

\u5728\u6570\u636e\u4ed3\u5e93\u5f00\u53d1\u4e2d，HiveSQL\u662f\u6838\u5fc3\u5f00\u53d1\u8bed\u8a00，\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u6e05\u6d17\u3001\u8f6c\u6362\u548c\u6c47\u603b\u3002<\/p>\n

\n

Shell\u811a\u672c（15%）\u7528\u4e8e\u8c03\u5ea6\u4efb\u52a1\u5c01\u88c5，Python（10%）\u5904\u7406\u590d\u6742\u4e1a\u52a1\u903b\u8f91\u548c\u8d28\u91cf\u6821\u9a8c\u3002<\/p>\n

\n

\u6570\u4ed3\u8868\u6570\u636e\u5b58\u50a8\u5728HDFS\u4e0a，\u8868\u7ed3\u6784\u5143\u6570\u636e\u5b58\u653e\u5728MySQL\u7b49\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e2d，\u901a\u8fc7Hive\u8fdb\u884c\u7ba1\u7406\u3002<\/span><\/p>\n

\n

\u5f00\u53d1\u4e0e\u751f\u4ea7\u73af\u5883\u4e25\u683c\u9694\u79bb，\u901a\u5e38\u5206\u4e3a\u5f00\u53d1\u3001\u6d4b\u8bd5\u548c\u751f\u4ea7\u4e09\u5c42，\u901a\u8fc7\u6570\u636e\u5e93\u540d\u3001HDFS\u76ee\u5f55\u548c\u6743\u9650\u63a7\u5236\u5b9e\u73b0\u9694\u79bb\u3002<\/p>\n

\n

\u5f00\u53d1\u4eba\u5458\u5728\u751f\u4ea7\u73af\u5883\u4ec5\u9700\u53ea\u8bfb\u6743\u9650（SELECT），\u6570\u636e\u4fee\u590d\u901a\u8fc7\u8c03\u5ea6\u7cfb\u7edf\u6216DBA\u6267\u884c，\u786e\u4fdd\u5b89\u5168\u53ef\u8ffd\u6eaf\u3002<\/p>\n

\n

\u5b8c\u6574\u5f00\u53d1\u6d41\u7a0b\u5305\u62ec\u672c\u5730IDE\u7f16\u5199\u3001\u8c03\u8bd5\u9a8c\u8bc1\u3001Git\u63d0\u4ea4\u3001\u6d4b\u8bd5\u90e8\u7f72\u548c\u751f\u4ea7\u8c03\u5ea6\u6267\u884c，\u4fdd\u969c\u4ee3\u7801\u8d28\u91cf\u548c\u6570\u636e\u5b89\u5168\u3002<\/p>\n

\u6570\u4ed3\u91cc\u5199\u7684\u662fHive sql \u8fd8\u662f\u4ec0\u4e48\u5462<\/h2>\n
\n

\u6838\u5fc3\u7b54\u6848：Hive SQL \u662f\u4e3b\u529b，\u4f46\u4e0d\u662f\u5168\u90e8<\/h3>\n

\u5728\u79bb\u7ebf\u6570\u4ed3\u4e2d，90% \u4ee5\u4e0a\u7684\u4ee3\u7801\u662f Hive SQL<\/span>，\u4f46\u5b8c\u6574\u7684\u6570\u636e\u5f00\u53d1\u5de5\u4f5c\u8fdc\u4e0d\u6b62\u5199 SQL\u3002<\/p>\n

\n

1. \u65e5\u5e38\u5199\u7684\u4ee3\u7801（\u6309\u5360\u6bd4\u6392\u5e8f）<\/h4>\n\n\u4ee3\u7801\u7c7b\u578b\u5360\u6bd4\u5177\u4f53\u5185\u5bb9\u4f7f\u7528\u573a\u666f<\/tr>\n\n\n\n\n\n
Hive SQL<\/span><\/td>\n70%<\/span><\/td>\nDDL（\u5efa\u8868）\u3001DML（ETL \u6e05\u6d17\/\u8f6c\u6362\/\u6c47\u603b）\u3001DQL（\u590d\u6742\u67e5\u8be2\u5206\u6790）<\/span><\/td>\n\u6570\u636e\u5206\u5c42\u52a0\u5de5（ODS\u2192DWD\u2192DWS\u2192ADS）\u3001\u76d1\u7ba1\u62a5\u8868\u903b\u8f91<\/span><\/td>\n<\/tr>\n
Shell \u811a\u672c<\/td>\n15%<\/td>\n\u8c03\u5ea6\u4efb\u52a1\u5c01\u88c5\u3001\u53c2\u6570\u4f20\u9012\u3001\u4e0a\u4e0b\u6e38\u4f9d\u8d56\u5224\u65ad\u3001\u91cd\u8bd5\u903b\u8f91\u3001\u90ae\u4ef6\u544a\u8b66<\/td>\n\u5305\u88f9 Hive SQL，\u8ba9\u8c03\u5ea6\u7cfb\u7edf（\u5982 DolphinScheduler）\u80fd\u8c03\u7528<\/td>\n<\/tr>\n
Python<\/td>\n10%<\/td>\n\u6570\u636e\u8d28\u91cf\u6821\u9a8c\u3001\u5f02\u5e38\u68c0\u6d4b\u3001\u590d\u6742\u4e1a\u52a1\u903b\u8f91（\u5982\u673a\u5668\u5b66\u4e60\u9884\u5904\u7406）\u3001API \u8c03\u7528<\/td>\n\u4e0d\u9002\u5408 SQL \u5b9e\u73b0\u7684\u573a\u666f，\u6bd4\u5982\u8c03\u7528\u7b2c\u4e09\u65b9\u63a5\u53e3\u3001\u590d\u6742\u5faa\u73af\u3001\u6b63\u5219\u5339\u914d\u590d\u6742\u7684\u6587\u672c\u6e05\u6d17<\/span><\/td>\n<\/tr>\n
Spark SQL \/ PySpark<\/span><\/td>\n5%<\/span><\/td>\n\u7528 Spark \u5f15\u64ce\u6267\u884c SQL（\u6bd4 Hive \u5feb），\u6216\u5199 PySpark \u505a\u590d\u6742\u6570\u636e\u5904\u7406<\/span><\/td>\n\u6027\u80fd\u8981\u6c42\u9ad8\u7684\u573a\u666f，\u6216\u5b9e\u65f6\/\u51c6\u5b9e\u65f6\u4efb\u52a1<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

2. \u4e3a\u4ec0\u4e48 Hive SQL \u662f\u7edd\u5bf9\u4e3b\u529b？<\/h4>\n
    \n
  • \n

    \u95e8\u69db\u4f4e：\u6570\u4ed3\u56e2\u961f\u7edd\u5927\u591a\u6570\u6210\u5458\u90fd\u4f1a SQL，\u57f9\u8bad\u6210\u672c\u4f4e<\/p>\n<\/li>\n

  • \n

    \u751f\u6001\u6210\u719f：Hive \u5bf9 SQL \u7684\u652f\u6301\u8d8a\u6765\u8d8a\u5b8c\u5584（\u652f\u6301 CTE\u3001\u7a97\u53e3\u51fd\u6570\u3001UDF \u7b49），\u80fd\u8986\u76d6 95% \u4ee5\u4e0a\u7684 ETL \u573a\u666f<\/span><\/p>\n<\/li>\n

  • \n

    \u7ef4\u62a4\u65b9\u4fbf：SQL \u6bd4 Java\/Python \u66f4\u6613\u8bfb，\u65b0\u4eba\u4e0a\u624b\u5feb，\u4ee3\u7801\u8bc4\u5ba1\u5bb9\u6613<\/p>\n<\/li>\n

  • \n

    \u76d1\u7ba1\u53cb\u597d：\u76d1\u7ba1\u62a5\u9001\u903b\u8f91\u7528 SQL \u5199，\u4e1a\u52a1\u4eba\u5458\u4e5f\u80fd\u770b\u61c2\u5927\u81f4\u903b\u8f91（\u867d\u7136\u4e0d\u5199\u4f46\u80fd review）<\/p>\n<\/li>\n<\/ul>\n

    \n

    3. \u90a3 Shell \u548c Python \u5177\u4f53\u5199\u4ec0\u4e48？<\/h4>\n

    Shell \u811a\u672c\u793a\u4f8b（\u8c03\u7528 Hive SQL）：<\/p>\n

    bash<\/p>\n

    #!\/bin\/bash
    \n# \u8fd9\u662f\u8c03\u5ea6\u7cfb\u7edf\u6bcf\u5929\u51cc\u66683\u70b9\u8c03\u7528\u7684\u811a\u672c<\/p>\n

    bizdate=$1 # \u4ece\u8c03\u5ea6\u7cfb\u7edf\u4f20\u5165\u4e1a\u52a1\u65e5\u671f<\/p>\n

    # \u6267\u884c Hive SQL（\u901a\u8fc7 -e \u6216 -f）
    \nhive -e "
    \nINSERT OVERWRITE TABLE dwd_user_daily PARTITION(dt='$bizdate')
    \nSELECT user_id, user_name, phone, update_time
    \nFROM ods_user_daily
    \nWHERE dt='$bizdate';
    \n"<\/p>\n

    # \u68c0\u67e5\u6267\u884c\u72b6\u6001
    \n#if [ $? -eq 0 ];
    \n#\u62a5\u9519：Check exit code directly with e.g. 'if mycmd;', not indirectly with $?.shellcheckSC2181
    \n#\u8fd9\u662f\u4e00\u4e2a Shell \u811a\u672c\u7684\u9759\u6001\u68c0\u67e5\u8b66\u544a（shellcheck SC2181），\u63d0\u793a\u4f60\u4e0d\u8981\u901a\u8fc7 $? \u95f4\u63a5\u68c0\u67e5\u547d\u4ee4\u7684\u9000\u51fa\u72b6\u6001，\u800c\u662f\u5e94\u8be5\u76f4\u63a5\u4f7f\u7528\u547d\u4ee4\u672c\u8eab\u4f5c\u4e3a\u6761\u4ef6\u3002<\/p>\n

    #\u7528\u53d8\u91cf\u4fdd\u5b58 $? \u540e，shellcheck \u5c31\u4e0d\u4f1a\u62a5 SC2181 \u4e86，\u56e0\u4e3a $? \u5fc5\u987b\u5728\u547d\u4ee4\u6267\u884c\u540e\u7acb\u5373\u6355\u83b7，\u5426\u5219\u4f1a\u88ab\u540e\u7eed\u547d\u4ee4\u8986\u76d6\u3002
    \n# \u4e2d\u95f4\u53ef\u4ee5\u63d2\u5165\u5176\u4ed6\u903b\u8f91
    \nret=$?
    \nif [ $ret -eq 0 ]; then
    \n echo "ETL \u6210\u529f" >> \/log\/etl.log
    \nelse
    \n echo "ETL \u5931\u8d25，\u89e6\u53d1\u544a\u8b66" >> \/log\/etl.log
    \n python \/script\/send_alert.py "ETL\u4efb\u52a1\u5931\u8d25"
    \nfi<\/p>\n

    Python \u793a\u4f8b（\u6570\u636e\u8d28\u91cf\u6821\u9a8c）：<\/p>\n

    python<\/p>\n

    #!\/usr\/bin\/env python
    \n# \u6821\u9a8c\u4eca\u65e5\u6570\u636e\u91cf\u662f\u5426\u5f02\u5e38<\/p>\n

    import subprocess
    \nfrom pyhive import hive<\/p>\n

    def send_alert(message):
    \n """\u53d1\u9001\u544a\u8b66"""
    \n print(f"[ALERT] {message}")
    \n subprocess.run(["python", "\/script\/send_alert.py", message])<\/p>\n

    #bizdate \u5efa\u8bae\u901a\u8fc7\u547d\u4ee4\u884c\u53c2\u6570\u4f20\u5165（sys.argv[1]），\u548c\u524d\u9762\u7684 Shell \u811a\u672c\u4fdd\u6301\u4e00\u81f4\u3002
    \n# \u4ece\u8c03\u5ea6\u7cfb\u7edf\u83b7\u53d6\u4e1a\u52a1\u65e5\u671f（\u793a\u4f8b\u5199\u6b7b，\u5b9e\u9645\u53ef\u4ece\u53c2\u6570\u6216\u73af\u5883\u53d8\u91cf\u83b7\u53d6）
    \nbizdate = "2026-06-17"<\/p>\n

    print(f"\u5f00\u59cb\u5904\u7406\u4e1a\u52a1\u65e5\u671f：{bizdate}")
    \n#\u751f\u4ea7\u73af\u5883\u4e2d\u5efa\u8bae\u52a0\u4e0a try…except \u6355\u83b7\u6570\u636e\u5e93\u8fde\u63a5\u5f02\u5e38，\u907f\u514d\u811a\u672c\u56e0\u8fde\u63a5\u5931\u8d25\u800c\u5d29\u6e83\u3002
    \ntry:
    \n conn = hive.connect(host='hive-server', port=10000)
    \nexcept Exception as e:
    \n print(f"\u6570\u636e\u5e93\u8fde\u63a5\u5931\u8d25: {e}")
    \n exit(1)<\/p>\n

    cursor = conn.cursor()
    \ncursor.execute(f"SELECT COUNT(*) FROM dwd_user_daily WHERE dt='{bizdate}'")
    \ntoday_count = cursor.fetchone()[0]<\/p>\n

    if today_count < 1000000: # \u9608\u503c\u8bbe\u4e3a100\u4e07
    \n send_alert(f"\u6570\u636e\u91cf\u5f02\u5e38，\u4eca\u65e5\u53ea\u6709 {today_count} \u6761")<\/p>\n

    cursor.close()
    \nconn.close()<\/p>\n

    \n

    4. \u90a3\u4f60\u4eec\u7528\u7684\u662f\u4ec0\u4e48\u6267\u884c\u5f15\u64ce？<\/h4>\n

    Hive \u672c\u8eab\u662f\u4e2a\u7ffb\u8bd1\u5668，\u5b83\u628a SQL \u7ffb\u8bd1\u6210 MapReduce\/Spark\/Tez \u4f5c\u4e1a\u53bb\u8dd1\u3002<\/span><\/p>\n\n\u573a\u666f\u7528\u7684\u5f15\u64ce<\/tr>\n\n\n\n\n
    \u4f60\u4eec\u94f6\u884c\u9879\u76ee\u7528\u7684\u662f\u4ec0\u4e48\u5f15\u64ce？<\/td>\n\u6211\u4eec\u7528\u7684\u00a0Hive on Spark（\u6bd4 Hive on MR \u5feb 3-5 \u500d）<\/span><\/td>\n<\/tr>\n
    \u4e3a\u4ec0\u4e48\u4e0d\u7528 Hive on MR？<\/span><\/td>\nMR \u6bcf\u6b21\u90fd\u8981\u843d\u76d8，IO \u74f6\u9888\u592a\u4e25\u91cd，\u94f6\u884c\u6570\u636e\u91cf\u5927（\u65e5\u589e\u51e0\u4ebf\u6761），MR \u8dd1\u4e0d\u52a8<\/span><\/td>\n<\/tr>\n
    \u90a3\u4ec0\u4e48\u65f6\u5019\u7528\u7eaf Hive？<\/td>\n\u5c0f\u8868\u6d4b\u8bd5\u3001\u6570\u636e\u91cf\u4e0d\u5927\u7684\u4e34\u65f6\u67e5\u8be2\u7528 Hive on MR；<\/p>\n
    \n

    \u751f\u4ea7\u5927\u4efb\u52a1\u5168\u90e8\u5207\u5230 Hive on Spark<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \n

    5. \u9762\u8bd5\u65f6\u600e\u4e48\u7b54<\/h4>\n

    \u201c\u5728\u79bb\u7ebf\u6570\u4ed3\u4e2d，\u6838\u5fc3\u5f00\u53d1\u8bed\u8a00\u662f Hive SQL，\u5360\u6bd4\u5927\u6982 70% \u4ee5\u4e0a\u3002\u6570\u636e\u6e05\u6d17\u3001\u8f6c\u6362\u3001\u6c47\u603b\u3001\u76d1\u7ba1\u62a5\u8868\u52a0\u5de5\u90fd\u662f\u7528 Hive SQL \u5b9e\u73b0\u3002<\/p>\n

    \n

    \u9664\u6b64\u4e4b\u5916，\u6211\u4eec\u4f1a\u7528\u00a0Shell \u811a\u672c\u00a0\u5c01\u88c5 SQL，\u4ea4\u7ed9 DolphinScheduler \u7b49\u8c03\u5ea6\u7cfb\u7edf\u6267\u884c，\u5e76\u5728\u811a\u672c\u91cc\u505a\u72b6\u6001\u5224\u65ad\u548c\u91cd\u8bd5\u903b\u8f91\u3002<\/p>\n

    \n

    Python\u00a0\u4e3b\u8981\u7528\u5728\u6570\u636e\u8d28\u91cf\u6821\u9a8c\u3001\u590d\u6742\u6587\u672c\u6e05\u6d17\u3001API \u8c03\u7528\u7b49 SQL \u4e0d\u65b9\u4fbf\u5b9e\u73b0\u7684\u573a\u666f\u3002<\/p>\n

    \n

    \u6267\u884c\u5f15\u64ce\u65b9\u9762，\u6211\u4eec\u7528\u7684\u662f\u00a0Hive on Spark，\u6bd4\u4f20\u7edf\u7684 Hive on MapReduce \u5feb\u5f88\u591a，\u80fd\u4fdd\u8bc1\u6bcf\u5929\u5927\u6279\u91cf ETL \u4efb\u52a1\u5728\u51cc\u6668\u8dd1\u5b8c\u3002\u201d<\/p>\n

    \n

    6. \u5982\u679c\u9762\u8bd5\u5b98\u95ee\u201c\u90a3\u4f60\u4eec\u4f1a\u5199 Java \u5417？\u201d<\/h4>\n

    \u201c\u6570\u4ed3\u5f00\u53d1\u56e2\u961f\u901a\u5e38\u4e0d\u76f4\u63a5\u5199 Java\u3002<\/p>\n

    \n

    Hive \u7684 UDF（\u81ea\u5b9a\u4e49\u51fd\u6570）\u6709\u65f6\u5019\u9700\u8981 Java \u5199，\u4f46\u5982\u679c\u6709\u73b0\u6210\u7684 UDF \u5e93，\u6211\u4eec\u4f1a\u4f18\u5148\u590d\u7528\u3002<\/span><\/p>\n

    \n

    \u6574\u4f53\u6765\u8bf4，\u6570\u4ed3\u5f00\u53d1\u7684\u6838\u5fc3\u6280\u80fd\u6808\u662f\u00a0SQL + Shell + Python，\u800c\u4e0d\u662f Java\u3002\u201d<\/p>\n

    \n

    7. \u4e00\u53e5\u8bdd\u603b\u7ed3<\/h4>\n

    \u201c\u6570\u4ed3\u91cc\u5199\u7684\u662f\u00a0Hive SQL，\u914d\u5408\u00a0Shell\u00a0\u505a\u8c03\u5ea6\u5c01\u88c5，Python\u00a0\u505a\u8d28\u91cf\u6821\u9a8c\u548c\u590d\u6742\u903b\u8f91\u8865\u5145\u3002\u6267\u884c\u5f15\u64ce\u662f\u00a0Hive on Spark\u3002\u201d<\/p>\n

    \n

    \u6570\u4ed3\u7684\u8868\u5b58\u5728\u54ea，HDFS\u5417<\/h2>\n
    \n

    \u6570\u4ed3\u7684\u8868\u6700\u7ec8\u662f\u5b58\u5728 HDFS \u4e0a\u7684，\u4f46\u4e2d\u95f4\u8fd8\u6709\u4e00\u5c42\u201c\u6620\u5c04\u5173\u7cfb\u201d<\/span>\u9700\u8981\u7406\u6e05\u695a\u3002<\/p>\n

    \n

    \u4e00\u53e5\u8bdd\u5148\u56de\u7b54\u4f60<\/h3>\n

    \u662f\u7684，Hive \u6570\u4ed3\u7684\u8868\u6570\u636e\u6700\u7ec8\u662f\u4ee5\u6587\u4ef6\u5f62\u5f0f\u5b58\u50a8\u5728 HDFS \u4e0a\u7684\u3002<\/p>\n

    \n

    \u4f46 Hive \u672c\u8eab\u53ea\u5b58\u201c\u8868\u7ed3\u6784\u201d（\u5143\u6570\u636e），\u4e0d\u5b58\u6570\u636e；<\/span><\/p>\n

    \n

    \u771f\u6b63\u7684\u6570\u636e\u6587\u4ef6\u5728 HDFS \u7684\u6307\u5b9a\u76ee\u5f55\u4e0b<\/span>\u3002<\/p>\n

    \n

    1. \u62c6\u5f00\u8bb2：Hive \u7684\u201c\u4e24\u5c42\u7ed3\u6784\u201d<\/h4>\n\n\u5c42\u6b21\u5b58\u4ec0\u4e48\u5b58\u5728\u54ea\u4f5c\u7528<\/tr>\n\n\n\n
    \u5143\u6570\u636e（Metastore）<\/span><\/td>\n\u8868\u540d\u3001\u5b57\u6bb5\u3001\u5206\u533a\u3001\u5b58\u50a8\u8def\u5f84\u3001\u6570\u636e\u7c7b\u578b\u7b49<\/span><\/td>\n\u5173\u7cfb\u578b\u6570\u636e\u5e93（\u5982 MySQL）<\/span><\/td>\nHive \u542f\u52a8\u65f6\u8bfb\u53d6\u8fd9\u4e9b\u4fe1\u606f，\u77e5\u9053\u8868\u7ed3\u6784\u957f\u4ec0\u4e48\u6837<\/span><\/td>\n<\/tr>\n
    \u6570\u636e\u6587\u4ef6<\/td>\n\u8868\u7684\u5b9e\u9645\u6570\u636e（\u884c\u8bb0\u5f55）<\/td>\nHDFS（\u5982\u00a0\/user\/hive\/warehouse\/db_name\/table_name\/）<\/td>\n\u771f\u6b63\u5b58\u653e\u6570\u636e\u7684\u5730\u65b9，\u67e5\u8be2\u65f6 Hive \u4ece\u8fd9\u91cc\u8bfb\u6587\u4ef6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u4e3e\u4e2a\u4f8b\u5b50：
    \n\u4f60\u5728 Hive \u91cc\u5efa\u4e86\u4e00\u5f20\u8868：<\/p>\n

    sql<\/p>\n

    CREATE TABLE dwd_user (
    \n user_id STRING,
    \n user_name STRING,
    \n phone STRING
    \n) PARTITIONED BY (dt STRING);<\/p>\n

      \n
    • \n

      \u5143\u6570\u636e：MySQL \u91cc\u4f1a\u8bb0\u5f55\u201c\u8868\u540d\u53eb dwd_user，\u6709\u4e09\u4e2a\u5b57\u6bb5 user_id\/user_name\/phone，\u5206\u533a\u5b57\u6bb5\u662f dt，\u5b58\u50a8\u8def\u5f84\u662f\u00a0\/user\/hive\/warehouse\/dwd_user\/\u201d<\/span><\/p>\n<\/li>\n

    • \n

      \u6570\u636e：HDFS \u4e0a\u4f1a\u751f\u6210\u76ee\u5f55\u00a0\/user\/hive\/warehouse\/dwd_user\/dt=2026-06-17\/，\u91cc\u9762\u5b58\u7740\u8fd9\u4e2a\u5206\u533a\u7684\u6570\u636e\u6587\u4ef6（\u53ef\u80fd\u662f ORC\u3001Parquet \u6216 TextFile \u683c\u5f0f）<\/span><\/p>\n<\/li>\n<\/ul>\n

      \n

      2. \u90a3\u8868\u6570\u636e\u5177\u4f53\u5728 HDFS \u7684\u4ec0\u4e48\u4f4d\u7f6e？<\/h4>\n

      \u9ed8\u8ba4\u60c5\u51b5\u4e0b，Hive \u7684\u8868\u6570\u636e\u5b58\u50a8\u5728 HDFS \u7684\u00a0\/user\/hive\/warehouse\/\u00a0\u76ee\u5f55\u4e0b\u3002<\/span><\/p>\n\n\u8868\u7c7b\u578bHDFS \u8def\u5f84\u793a\u4f8b<\/tr>\n\n\n\n\n\n
      \u5185\u90e8\u8868<\/td>\n\/user\/hive\/warehouse\/db_name\/table_name\/<\/td>\n<\/tr>\n
      \u5916\u90e8\u8868<\/span><\/td>\n\u5efa\u8868\u65f6\u6307\u5b9a\u7684\u4efb\u610f HDFS \u8def\u5f84（\u5982\u00a0\/data\/logs\/）<\/span><\/td>\n<\/tr>\n
      \u5206\u533a\u8868<\/td>\n\/user\/hive\/warehouse\/db_name\/table_name\/dt=2026-06-17\/<\/td>\n<\/tr>\n
      \u5206\u6876\u8868<\/td>\n\u5206\u533a\u76ee\u5f55\u4e0b\u8fd8\u6709\u591a\u4e2a\u6587\u4ef6（\u5982\u00a000000_0\u300100001_0）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u4f60\u53ef\u4ee5\u7528 HDFS \u547d\u4ee4\u76f4\u63a5\u67e5\u770b：<\/p>\n

      bash<\/p>\n

      hdfs dfs -ls \/user\/hive\/warehouse\/dwd_user\/dt=2026-06-17\/<\/p>\n

      \n

      3. \u90a3\u201c\u8868\u5b58\u5728\u54ea\u91cc\u201d\u8fd9\u4e2a\u95ee\u9898，\u9762\u8bd5\u65f6\u600e\u4e48\u7b54\u6700\u5168\u9762？<\/h4>\n

      Hive \u8868\u7684\u6570\u636e\u6700\u7ec8\u662f\u5b58\u50a8\u5728 HDFS \u4e0a\u7684，\u4f46 Hive \u672c\u8eab\u5e76\u4e0d\u5b58\u50a8\u6570\u636e，\u5b83\u53ea\u5b58\u50a8\u5143\u6570\u636e（\u8868\u7ed3\u6784\u3001\u5206\u533a\u4fe1\u606f\u3001\u5b58\u50a8\u8def\u5f84\u7b49），\u8fd9\u4e9b\u5143\u6570\u636e\u5b58\u653e\u5728 MySQL \u7b49\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e2d\u3002<\/span><\/p>\n

      \n

      \u4e3e\u4e2a\u4f8b\u5b50，\u6211\u5728 Hive \u91cc\u5efa\u4e00\u5f20\u5206\u533a\u8868，Hive \u4f1a\u5728 MySQL \u91cc\u8bb0\u5f55\u8fd9\u5f20\u8868\u7684\u5143\u6570\u636e，\u540c\u65f6\u5728 HDFS \u7684\u00a0\/user\/hive\/warehouse\/\u00a0\u76ee\u5f55\u4e0b\u521b\u5efa\u5bf9\u5e94\u7684\u6570\u636e\u76ee\u5f55，\u5b9e\u9645\u7684\u6570\u636e\u6587\u4ef6（\u5982 ORC \u6587\u4ef6）\u5c31\u653e\u5728\u8fd9\u4e2a\u76ee\u5f55\u4e0b\u3002\u67e5\u8be2\u65f6，Hive \u4f1a\u5148\u4ece MySQL \u8bfb\u53d6\u5143\u6570\u636e，\u7136\u540e\u53bb HDFS \u4e0a\u8bfb\u53d6\u6570\u636e\u6587\u4ef6\u8fdb\u884c\u8fd0\u7b97\u3002<\/p>\n

      \n

      \u6240\u4ee5，\u8868\u6570\u636e\u5728 HDFS，\u8868\u7ed3\u6784\u5728 MySQL，Hive \u662f\u4e2d\u95f4\u5c42，\u8d1f\u8d23\u628a SQL \u7ffb\u8bd1\u6210\u5bf9 HDFS \u6587\u4ef6\u7684\u8bfb\u5199\u64cd\u4f5c\u3002<\/span><\/p>\n

      \n

      4. \u4e24\u79cd\u8868\u7c7b\u578b（\u9762\u8bd5\u8865\u5145\u52a0\u5206\u9879）<\/h4>\n\n\u8868\u7c7b\u578b\u6570\u636e\u5b58\u50a8\u4f4d\u7f6e\u5220\u9664\u8868\u65f6\u6570\u636e\u662f\u5426\u5220\u9664\u9002\u7528\u573a\u666f<\/tr>\n\n\n\n
      \u5185\u90e8\u8868（Managed Table）<\/td>\nHive \u9ed8\u8ba4\u8def\u5f84\u00a0\/user\/hive\/warehouse\/<\/td>\n\u4f1a\u5220\u9664<\/td>\n\u4e34\u65f6\u8868\u3001\u6d4b\u8bd5\u8868\u3001\u6570\u636e\u751f\u547d\u5468\u671f\u7531 Hive \u7ba1\u7406<\/td>\n<\/tr>\n
      \u5916\u90e8\u8868（External Table）<\/span><\/td>\n\u5efa\u8868\u65f6\u6307\u5b9a\u7684\u4efb\u610f HDFS \u8def\u5f84（\u5982\u00a0\/data\/logs\/）<\/span><\/td>\n\u4e0d\u4f1a\u5220\u9664，\u53ea\u5220\u9664\u5143\u6570\u636e<\/span><\/td>\n\u751f\u4ea7\u8868\u3001\u5171\u4eab\u6570\u636e\u6e90（\u5982\u65e5\u5fd7\u3001\u4e0a\u6e38\u7cfb\u7edf\u63a8\u9001\u7684\u6570\u636e）<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u5b9e\u9645\u751f\u4ea7：\u94f6\u884c\u6570\u4ed3\u4e2d，ODS \u5c42\u901a\u5e38\u5efa\u5916\u90e8\u8868（\u6570\u636e\u7531\u4e0a\u6e38\u7cfb\u7edf\u7ba1\u7406，Hive \u53ea\u8bfb\u4e0d\u5220），DWD\/DWS\/ADS \u5c42\u5efa\u5185\u90e8\u8868（\u6570\u636e\u7531 Hive \u7ba1\u7406，\u4fbf\u4e8e\u7edf\u4e00\u7ef4\u62a4）\u3002<\/span><\/p>\n

      \n

      5. \u4e00\u53e5\u8bdd\u603b\u7ed3（\u80cc\u4e0b\u6765）<\/h4>\n

      \u6570\u4ed3\u7684\u8868\u6570\u636e\u5728\u00a0HDFS\u00a0\u4e0a，\u8868\u7ed3\u6784（\u5143\u6570\u636e）\u5728\u00a0MySQL\u00a0\u91cc，Hive \u662f\u8fde\u63a5\u4e24\u8005\u7684\u6865\u6881\u3002\u751f\u4ea7\u4e0a ODS \u5c42\u7528\u5916\u90e8\u8868，DWD\/DWS\/ADS \u5c42\u7528\u5185\u90e8\u8868\u3002<\/span><\/p>\n

      \n

      \u5982\u679c\u9762\u8bd5\u5b98\u8ffd\u95ee：\u201c\u90a3 Hive \u5185\u90e8\u8868\u548c\u5916\u90e8\u8868\u7684\u6027\u80fd\u6709\u533a\u522b\u5417？\u201d \u9700\u8981\u6211\u5e2e\u4f60\u51c6\u5907\u5417？😊<\/p>\n

      \n

      \u4e0d\u662f\u90fd\u4fe1\u521b\u6539\u9020\u4e86，\u600e\u4e48\u8fd8\u518d\u7528MySQL\u3002\u8868\u6570\u636e\u5728 HDFS，\u8868\u7ed3\u6784\u5728 MySQL<\/h2>\n

      \u8981\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898，\u5173\u952e\u5728\u4e8e\u533a\u5206\u6e05\u695a：\u4fe1\u521b\u6539\u9020\u66ff\u6362\u7684\u662f\u54ea\u4e2a\u201c\u5e93\u201d？\u4e1a\u52a1\u6570\u636e\u5e93\u548cHive\u5143\u6570\u636e\u5e93\u662f\u4e24\u4e2a\u4e1c\u897f\u3002<\/span><\/p>\n

      \u4fe1\u521b\u6539\u9020，\u672c\u8d28\u4e0a\u662f\u628a\u539f\u6765\u8dd1\u5728\u56fd\u5916\u7684\u3001\u4e0d\u53ef\u63a7\u7684\u8f6f\u4ef6\u548c\u786c\u4ef6，\u6362\u6210\u56fd\u5185\u81ea\u4e3b\u7814\u53d1\u3001\u5b89\u5168\u53ef\u63a7\u7684\u3002\u8fd9\u4e2a\u5927\u65b9\u5411\u662f\u786e\u5b9a\u7684\u3002<\/p>\n

      \n

      \u4e3a\u4ec0\u4e48\u201c\u5143\u6570\u636e\u8fd8\u5728\u7528MySQL\u201d？<\/h3>\n

      \u4f60\u7b80\u5386\u91cc\u63d0\u5230\u7684\u201c\u4eceMySQL\u8fc1\u79fb\u81f3GBase\u6216GoldenDB\u201d，\u6b63\u662f\u4fe1\u521b\u6539\u9020\u7684\u6838\u5fc3\u52a8\u4f5c\u4e4b\u4e00\u3002\u4f46\u5728\u73b0\u5b9e\u4e2d，\u8fd9\u4e2a\u6539\u9020\u4e0d\u662f\u4e00\u5200\u5207\u7684，\u5c24\u5176\u5728Hive\u7684\u5143\u6570\u636e\u5c42\u9762\u3002<\/p>\n

      \u8fd9\u80cc\u540e\u6709\u597d\u51e0\u4e2a\u5f88\u73b0\u5b9e\u7684\u539f\u56e0：<\/p>\n

    • \n

      \u5143\u6570\u636e\u662f\u201c\u8001\u5927\u96be\u201d：Hive Metastore\u5c31\u50cf\u6574\u4e2a\u6570\u636e\u4ed3\u5e93\u7684\u201c\u5927\u8111\u201d，\u8bb0\u5f55\u7740\u6240\u6709\u8868\u5728\u54ea\u91cc\u3001\u53eb\u4ec0\u4e48\u3001\u6709\u4ec0\u4e48\u5b57\u6bb5\u3002\u5b83\u592a\u6838\u5fc3\u4e86，\u52a8\u5b83\u5c31\u7b49\u4e8e\u7ed9\u98de\u884c\u4e2d\u7684\u98de\u673a\u6362\u5f15\u64ce，\u98ce\u9669\u6781\u9ad8\u3002<\/span><\/p>\n<\/li>\n

    • \n

      MySQL\u505c\u670d\u5e26\u6765\u7684\u4fe1\u521b\u538b\u529b：\u4f60\u7684\u8d28\u7591\u975e\u5e38\u5408\u7406，\u56e0\u4e3aMySQL 5.7\u57282023\u5e74\u5df2\u7ecf\u505c\u6b62\u5b98\u65b9\u652f\u6301，\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u65e0\u6cd5\u4fee\u590d\u7684\u98ce\u9669，\u8fd9\u672c\u8eab\u5c31\u662f\u4fe1\u521b\u6539\u9020\u7684\u5de8\u5927\u9a71\u52a8\u529b\u3002\u5f88\u591a\u4f01\u4e1a\u6b63\u5728\u88ab\u8fd9\u4e2a\u95ee\u9898\u5012\u903c\u7740\u6539\u9020\u3002<\/p>\n<\/li>\n

    • \n

      \u201c\u5148\u5916\u56f4，\u540e\u6838\u5fc3\u201d\u7684\u73b0\u5b9e\u8def\u5f84：\u56fd\u4f01\u7684\u4fe1\u521b\u6539\u9020\u666e\u904d\u91c7\u53d6\u201c\u9010\u6b65\u66ff\u6362\u201d\u7684\u7b56\u7565\u3002\u5148\u66ff\u6362\u4e1a\u52a1\u6570\u636e\u5b58\u50a8（\u6bd4\u5982\u4f60\u8bf4\u7684GBase\u3001GoldenDB），\u56e0\u4e3aHive\u7684\u5143\u6570\u636e\u592a\u6838\u5fc3，\u5f80\u5f80\u4f1a\u653e\u5728\u6539\u9020\u7684\u540e\u671f\u3002\u4f60\u770b\u5230\u7684，\u53ef\u80fd\u6b63\u662f\u4e00\u4e2a\u201c\u6539\u9020\u8fdb\u884c\u4e2d\u201d\u7684\u72b6\u6001\u3002<\/p>\n<\/li>\n

    • \n

      \u56fd\u4ea7\u6570\u636e\u5e93\u7684\u517c\u5bb9\u6027\u6b63\u5728\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898：\u6539\u9020\u4e4b\u6240\u4ee5\u96be，\u662f\u56e0\u4e3a\u8fc7\u53bbHive\u5b98\u65b9\u652f\u6301\u7684\u5143\u6570\u636e\u5e93\u4e3b\u8981\u662fMySQL\u3001Oracle\u7b49\u51e0\u79cd\u3002\u4f46\u73b0\u5728，\u50cf\u8fbe\u68a6\u8fd9\u6837\u7684\u56fd\u4ea7\u6570\u636e\u5e93，\u5df2\u7ecf\u53ef\u4ee5\u901a\u8fc7\u914d\u7f6e（\u751a\u81f3\u6a21\u62dfOracle\u6a21\u5f0f）\u6765\u652f\u6491Hive\u5143\u6570\u636e\u4e86，\u8fd9\u5728\u4e00\u4e9b\u653f\u52a1\u5927\u6570\u636e\u9879\u76ee\u4e2d\u5df2\u6709\u5b9e\u8df5\u3002\u8fd9\u8bf4\u660e\u6280\u672f\u58c1\u5792\u6b63\u5728\u88ab\u6253\u7834\u3002<\/p>\n<\/li>\n

      \n

      \u9762\u8bd5\u65f6\u53ef\u4ee5\u8fd9\u6837\u56de\u7b54（\u5c42\u5c42\u9012\u8fdb\u7248）<\/h3>\n

      \u201c\u8fd9\u4e2a\u95ee\u9898\u95ee\u5f97\u5f88\u6df1\u3002\u60a8\u63d0\u5230\u7684\u4fe1\u521b\u6539\u9020\u548c\u6211\u8bf4\u7684\u5143\u6570\u636e\u5e93MySQL\u4e0d\u77db\u76fe\u3002
      \n\u9996\u5148，\u4fe1\u521b\u6539\u9020\u786e\u5b9e\u5728\u53d1\u751f，\u6bd4\u5982\u6211\u9879\u76ee\u91cc\u5c31\u628aMySQL\u7684\u4e1a\u52a1\u6570\u636e\u8fc1\u5230\u4e86GBase\/GoldenDB\u3002
      \n\u5176\u6b21，MySQL\u505c\u670d\u662f\u771f\u5b9e\u98ce\u9669，\u6240\u4ee5\u66ff\u6362\u52bf\u5728\u5fc5\u884c\u3002\u4f46\u6211\u4eec\u5f53\u65f6\u91c7\u7528\u7684\u662f\u5148\u5916\u56f4\u3001\u540e\u6838\u5fc3\u7684\u7a33\u59a5\u7b56\u7565，\u5148\u628a\u4e1a\u52a1\u6570\u636e\u7684\u5b58\u50a8\u6362\u4e86，\u800cHive\u7684\u5143\u6570\u636e\u5e93\u56e0\u4e3a\u6d89\u53ca\u6240\u6709\u8868\u7684\u6838\u5fc3\u5b9a\u4e49，\u8fc1\u79fb\u98ce\u9669\u66f4\u9ad8，\u56e0\u6b64\u4f1a\u653e\u5728\u66f4\u9760\u540e\u7684\u9636\u6bb5，\u8fd9\u662f\u4e2a\u9010\u6b65\u66ff\u6362\u7684\u8fc7\u7a0b\u3002
      \n\u6700\u540e，\u5176\u5b9e\u73b0\u5728\u56fd\u4ea7\u6570\u636e\u5e93\u4e5f\u5728\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898，\u6bd4\u5982\u8fbe\u68a6\u5c31\u53ef\u4ee5\u901a\u8fc7\u914d\u7f6e\u652f\u6301Hive\u5143\u6570\u636e\u4e86，\u8fd9\u5370\u8bc1\u4e86\u2018\u5143\u6570\u636e\u5e93\u4fe1\u521b\u5316\u2019\u662f\u53ef\u884c\u7684，\u53ea\u662f\u9700\u8981\u65f6\u95f4\u7a97\u53e3\u3002\u201d<\/p>\n

      \n

      Hive SQL \u7528\u4ec0\u4e48\u5199，\u662f\u6709\u7f16\u8f91\u5668\u8fd8\u662f\u5199\u5728Linux\u4e2d<\/h2>\n
      \n

      \u8fd9\u4e2a\u95ee\u9898\u95ee\u5f97\u975e\u5e38\u5b9e\u5728！\u5f88\u591a\u521d\u7ea7\u5f00\u53d1\u8005\u90fd\u4f1a\u56f0\u60d1\u201c\u4ee3\u7801\u5230\u5e95\u5199\u5728\u54ea\u201d，\u6211\u6765\u5e2e\u4f60\u628a\u771f\u5b9e\u751f\u4ea7\u73af\u5883\u4e2d\u7684\u5b8c\u6574\u5de5\u5177\u94fe\u8bb2\u6e05\u695a\u3002<\/p>\n

      \n

      \u6838\u5fc3\u7b54\u6848：\u51e0\u79cd\u65b9\u5f0f\u90fd\u6709，\u770b\u573a\u666f<\/h3>\n

      Hive SQL \u7684\u7f16\u5199\u548c\u6267\u884c，\u6839\u636e\u5f00\u53d1\u9636\u6bb5\u548c\u4efb\u52a1\u7c7b\u578b\u4e0d\u540c，\u4f1a\u7528\u4e0d\u540c\u7684\u5de5\u5177\u3002<\/span><\/p>\n

      \n

      \u7b2c\u4e00\u5c42：\u4e34\u65f6\u67e5\u8be2 \/ \u8c03\u8bd5（Ad-hoc Query）<\/h4>\n

      \u573a\u666f：\u67e5\u4e00\u4e0b\u6628\u5929\u5206\u533a\u6709\u591a\u5c11\u6761\u6570\u636e\u3001\u9a8c\u8bc1\u4e00\u4e0b\u67d0\u4e2aSQL\u903b\u8f91\u5bf9\u4e0d\u5bf9\u3001\u4e34\u65f6\u53d6\u6570\u3002<\/p>\n

      \u5de5\u5177：<\/p>\n\n\u5de5\u5177\u600e\u4e48\u7528\u4f18\u70b9\u573a\u666f<\/tr>\n\n\n\n\n
      Hive CLI<\/td>\n\u76f4\u63a5\u5728 Linux \u7ec8\u7aef\u8f93\u5165\u00a0hive -e "SELECT * FROM table"<\/td>\n\u6700\u5feb，\u9002\u5408\u7b80\u5355\u67e5\u8be2<\/td>\n\u67e5\u6570\u636e\u91cf\u3001\u770b\u8868\u7ed3\u6784<\/td>\n<\/tr>\n
      Beeline<\/span><\/td>\nbeeline -u "jdbc:hive2:\/\/…" -n username -p password<\/span><\/td>\nHiveServer2 \u7684 JDBC \u5ba2\u6237\u7aef，\u652f\u6301\u591a\u7528\u6237\u8ba4\u8bc1<\/span><\/td>\n\u751f\u4ea7\u73af\u5883\u8bbf\u95ee（\u6bd4 Hive CLI \u66f4\u5b89\u5168）<\/span><\/td>\n<\/tr>\n
      Hue \/ Zeppelin<\/td>\n\u6d4f\u89c8\u5668\u6253\u5f00 Web \u9875\u9762，\u5728 Notebook \u91cc\u5199 SQL<\/td>\n\u754c\u9762\u53cb\u597d\u3001\u53ef\u89c6\u5316\u3001\u652f\u6301\u56fe\u8868<\/td>\n\u6570\u636e\u5206\u6790\u5e08\u67e5\u6570\u3001\u5feb\u901f\u770b\u62a5\u8868<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u751f\u4ea7\u4e2d\u5b9e\u9645\u64cd\u4f5c：\u6211\u4eec\u4e00\u822c\u7528\u00a0Beeline\u00a0\u8fde\u751f\u4ea7\u73af\u5883（\u56e0\u4e3a\u6709 Kerberos \u8ba4\u8bc1），\u7528\u00a0Hue\u00a0\u505a\u4e34\u65f6\u67e5\u8be2（\u754c\u9762\u65b9\u4fbf，\u4e0d\u7528\u8bb0\u547d\u4ee4）\u3002<\/span><\/p>\n

      \u793a\u4f8b（Beeline \u767b\u5f55）：<\/p>\n

      bash<\/p>\n

      beeline -u "jdbc:hive2:\/\/hive-server:10000\/default" -n your_name -p your_pwd
      \n> SELECT COUNT(*) FROM dwd_user WHERE dt='2026-06-17';<\/p>\n

      \n

      \u7b2c\u4e8c\u5c42：ETL \u4efb\u52a1\u5f00\u53d1（\u5199\u5b8c\u6574\u7684 SQL \u811a\u672c）<\/h4>\n

      \u573a\u666f：\u5199\u4e00\u4e2a\u5b8c\u6574\u7684 ETL \u811a\u672c（\u6bd4\u5982 ODS\u2192DWD \u7684\u6e05\u6d17\u903b\u8f91），\u9700\u8981\u4fdd\u5b58\u3001\u7248\u672c\u7ba1\u7406\u3001\u63d0\u4ea4\u5230\u8c03\u5ea6\u7cfb\u7edf\u3002<\/p>\n

      \u5de5\u5177：<\/p>\n\n\u5de5\u5177\u600e\u4e48\u7528\u4f18\u70b9\u573a\u666f<\/tr>\n\n\n\n\n
      IDE（DataGrip \/ DBeaver \/ Navicat）<\/span><\/td>\n\u5728\u672c\u5730\u7535\u8111\u4e0a\u8fde Hive，\u5199 SQL\u3001\u6267\u884c\u3001\u8c03\u8bd5<\/span><\/td>\n\u6709\u8bed\u6cd5\u9ad8\u4eae\u3001\u81ea\u52a8\u8865\u5168\u3001\u9519\u8bef\u63d0\u793a，\u6548\u7387\u9ad8<\/span><\/td>\n\u5f00\u53d1\u9636\u6bb5\u5199\u590d\u6742 SQL<\/span><\/td>\n<\/tr>\n
      VS Code + \u63d2\u4ef6<\/td>\n\u5b89\u88c5 Hive\/SQL \u63d2\u4ef6，\u8fde HiveServer2<\/td>\n\u8f7b\u91cf\u7ea7，\u914d\u5408 Git \u505a\u7248\u672c\u7ba1\u7406<\/td>\n\u5f00\u53d1+\u7248\u672c\u63a7\u5236<\/td>\n<\/tr>\n
      \u76f4\u63a5\u5728 Linux \u4e0a\u5199 .sql \u6587\u4ef6<\/td>\nvim \/etl\/script\/ods_to_dwd.sql，\u7136\u540e\u00a0hive -f\u00a0\u6267\u884c<\/td>\n\u6700\u539f\u59cb，\u4f46\u8c03\u5ea6\u7cfb\u7edf\u6700\u7ec8\u6267\u884c\u7684\u5c31\u662f\u8fd9\u4e9b\u6587\u4ef6<\/td>\n\u751f\u4ea7\u90e8\u7f72\u3001\u8c03\u5ea6\u4efb\u52a1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u751f\u4ea7\u4e2d\u5b9e\u9645\u64cd\u4f5c：\u6211\u4eec\u5728\u672c\u5730\u7528\u00a0DataGrip\u00a0\u6216\u00a0DBeaver\u00a0\u8fde\u5f00\u53d1\u73af\u5883\u7684 Hive，\u5199 SQL\u3001\u8c03\u8bd5\u3001\u4f18\u5316；\u786e\u8ba4\u6ca1\u95ee\u9898\u540e，\u628a SQL \u4fdd\u5b58\u6210\u00a0.sql\u00a0\u6587\u4ef6，\u4f20\u5230 Linux \u670d\u52a1\u5668\u4e0a，\u4ea4\u7ed9\u8c03\u5ea6\u7cfb\u7edf（\u5982 DolphinScheduler）\u5b9a\u65f6\u6267\u884c\u3002<\/span><\/p>\n

      \n

      \u7b2c\u4e09\u5c42：\u751f\u4ea7\u8c03\u5ea6\u4efb\u52a1（\u4e0a\u7ebf\u90e8\u7f72）<\/h4>\n

      \u573a\u666f：\u6bcf\u5929\u51cc\u6668\u81ea\u52a8\u8dd1\u7684 ETL \u4efb\u52a1，\u5df2\u7ecf\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u3002<\/p>\n

      \u5de5\u5177\u94fe：<\/p>\n\n\u73af\u8282\u7528\u4ec0\u4e48\u8bf4\u660e<\/tr>\n\n\n\n\n
      SQL \u811a\u672c\u5b58\u653e<\/td>\nLinux \u670d\u52a1\u5668\u4e0a\u7684\u00a0.sql\u00a0\u6587\u4ef6（\u5982\u00a0\/etl\/dwd\/user_dwd.sql）<\/td>\n\u8c03\u5ea6\u7cfb\u7edf\u76f4\u63a5\u8c03\u7528<\/td>\n<\/tr>\n
      \u8c03\u5ea6\u6267\u884c<\/span><\/td>\nDolphinScheduler \/ Airflow \/ Azkaban<\/span><\/td>\n\u5b9a\u65f6\u89e6\u53d1，\u8c03\u7528 Shell \u811a\u672c \u2192 Shell \u6267\u884c\u00a0hive -f \/path\/script.sql<\/span><\/td>\n<\/tr>\n
      \u65e5\u5fd7\u67e5\u770b<\/td>\nLinux \u4e0a\u00a0tail -f \/log\/etl.log，\u6216\u8c03\u5ea6\u7cfb\u7edf\u7684 Web \u754c\u9762<\/td>\n\u770b\u4efb\u52a1\u6210\u529f\/\u5931\u8d25\u3001\u62a5\u9519\u4fe1\u606f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u5b8c\u6574\u8c03\u5ea6\u6d41\u7a0b：<\/p>\n

      bash<\/p>\n

      # DolphinScheduler \u6bcf\u5929\u51cc\u6668 3 \u70b9\u8c03\u7528\u8fd9\u4e2a Shell \u811a\u672c
      \n#!\/bin\/bash
      \nbizdate=$1 # \u8c03\u5ea6\u7cfb\u7edf\u4f20\u5165\u65e5\u671f<\/p>\n

      # \u6267\u884c Hive SQL
      \nhive -f \/etl\/dwd\/user_dwd.sql –hivevar dt=$bizdate<\/p>\n

      # \u68c0\u67e5\u6267\u884c\u72b6\u6001
      \nif [ $? -eq 0 ]; then
      \n echo "ETL \u6210\u529f，\u65e5\u671f：$bizdate" >> \/log\/etl.log
      \nelse
      \n echo "ETL \u5931\u8d25，\u65e5\u671f：$bizdate" >> \/log\/etl.log
      \n python \/script\/send_alert.py "ETL \u4efb\u52a1\u5931\u8d25"
      \nfi<\/p>\n

      \n

      \u9762\u8bd5\u65f6\u600e\u4e48\u7b54<\/h4>\n

      \u201cHive SQL \u7684\u7f16\u5199\u548c\u6267\u884c，\u6839\u636e\u5f00\u53d1\u9636\u6bb5\u4e0d\u540c\u4f1a\u7528\u4e0d\u540c\u5de5\u5177：<\/p>\n

      \n

      \u5f00\u53d1\u9636\u6bb5，\u6211\u4f1a\u7528\u00a0DataGrip\u00a0\u6216\u00a0DBeaver\u00a0\u8fd9\u7c7b\u6570\u636e\u5e93\u5ba2\u6237\u7aef\u8fde\u5230\u5f00\u53d1\u73af\u5883\u7684 Hive，\u5199 SQL \u8c03\u8bd5，\u6709\u8bed\u6cd5\u9ad8\u4eae\u548c\u9519\u8bef\u63d0\u793a，\u6548\u7387\u5f88\u9ad8\u3002<\/p>\n

      \n

      \u4e34\u65f6\u67e5\u8be2，\u6211\u4f1a\u7528\u00a0Beeline\u00a0\u547d\u4ee4\u884c\u6216\u00a0Hue\u00a0Web \u754c\u9762，\u5feb\u901f\u67e5\u6570\u636e\u3001\u9a8c\u8bc1\u903b\u8f91\u3002<\/p>\n

      \n

      \u751f\u4ea7\u90e8\u7f72，SQL \u811a\u672c\u4f1a\u4fdd\u5b58\u6210\u00a0.sql\u00a0\u6587\u4ef6\u653e\u5728 Linux \u670d\u52a1\u5668\u4e0a，\u7531\u00a0DolphinScheduler\u00a0\u7b49\u8c03\u5ea6\u7cfb\u7edf\u5b9a\u65f6\u89e6\u53d1\u6267\u884c，\u6267\u884c\u65e5\u5fd7\u5728 Linux \u4e0a\u67e5\u770b\u3002<\/p>\n

      \n

      \u6240\u4ee5\u4e0d\u662f\u5355\u4e00\u5de5\u5177，\u800c\u662f\u5f00\u53d1\u7528 IDE，\u8c03\u8bd5\u7528\u547d\u4ee4\u884c，\u751f\u4ea7\u7528\u8c03\u5ea6\u7cfb\u7edf<\/span>，\u4e09\u8005\u914d\u5408\u3002\u201d<\/p>\n

      \n

      \u8865\u5145\u4e00\u53e5（\u9762\u8bd5\u52a0\u5206）<\/h4>\n

      \u201c\u6211\u4eec\u6240\u6709\u7684 SQL \u811a\u672c\u90fd\u901a\u8fc7\u00a0Git\u00a0\u505a\u7248\u672c\u7ba1\u7406，\u6bcf\u6b21\u4fee\u6539\u90fd\u6709\u8bb0\u5f55\u3002<\/p>\n

      \n

      \u53d1\u5e03\u5230\u751f\u4ea7\u73af\u5883\u65f6，\u5148\u63d0\u4ea4 Git \u4ed3\u5e93，\u518d\u4ece\u4ed3\u5e93\u62c9\u53d6\u5230 Linux \u670d\u52a1\u5668，\u4fdd\u8bc1\u4ee3\u7801\u53ef\u8ffd\u6eaf\u3002\u201d<\/p>\n

      \n

      \u4e00\u53e5\u8bdd\u603b\u7ed3<\/h4>\n

      \u201c\u5f00\u53d1\u65f6\u7528 DataGrip \u5199，\u8c03\u8bd5\u7528 Beeline\/Hue \u67e5，\u751f\u4ea7\u65f6\u5b58\u6210 .sql \u6587\u4ef6\u7531\u8c03\u5ea6\u7cfb\u7edf\u8dd1\u3002\u201d<\/span><\/p>\n

      \n

      Hive \u7684\u5f00\u53d1\u73af\u5883\u548c\u751f\u4ea7\u73af\u5883\u662f\u5206\u5f00\u7684\u5417？\u600e\u4e48\u505a\u9694\u79bb\u7684<\/h2>\n
      \n

      \u8fd9\u4e2a\u95ee\u9898\u95ee\u5f97\u975e\u5e38\u4e13\u4e1a,\u76f4\u63a5\u5173\u7cfb\u5230\u6570\u636e\u5b89\u5168\u3001\u4ee3\u7801\u8d28\u91cf\u548c\u751f\u4ea7\u7a33\u5b9a\u6027,\u662f\u9762\u8bd5\u5b98\u5f88\u770b\u91cd\u7684\u5de5\u7a0b\u5316\u80fd\u529b\u3002\u6211\u5e2e\u4f60\u628a\u5b8c\u6574\u7684\u7b54\u6848\u6574\u7406\u597d\u3002<\/p>\n

      \n

      \u6838\u5fc3\u7b54\u6848：\u662f\u7684,\u5fc5\u987b\u5206\u5f00,\u800c\u4e14\u901a\u5e38\u5206\u4e09\u5c42\u73af\u5883<\/h3>\n

      \u5728\u751f\u4ea7\u7ea7\u6570\u4ed3\u4e2d,\u5f00\u53d1\u73af\u5883\u548c\u751f\u4ea7\u73af\u5883\u4e25\u683c\u9694\u79bb\u662f\u6700\u57fa\u672c\u7684\u8981\u6c42\u3002<\/span><\/p>\n

      \n

      \u94f6\u884c\u573a\u666f\u4e0b\u66f4\u662f\u5982\u6b64\u2014\u2014\u5f00\u53d1\u4eba\u5458\u7684\u8bef\u64cd\u4f5c(\u6bd4\u5982\u00a0DROP TABLE)\u5982\u679c\u53d1\u751f\u5728\u751f\u4ea7\u73af\u5883,\u540e\u679c\u4e0d\u582a\u8bbe\u60f3\u3002<\/p>\n

      \n

      1. \u73af\u5883\u5206\u5c42(\u4e09\u5957\u73af\u5883)<\/h4>\n\n\u73af\u5883\u7528\u9014\u6570\u636e\u91cf\u8bbf\u95ee\u6743\u9650<\/tr>\n\n\n\n\n
      \u5f00\u53d1\u73af\u5883(Dev)<\/td>\n\u5199SQL\u3001\u8c03\u8bd5\u903b\u8f91\u3001\u9a8c\u8bc1\u5b57\u6bb5<\/td>\n\u5c0f\u6570\u636e\u96c6(\u91c7\u6837\u6216\u8131\u654f)<\/td>\n\u5f00\u53d1\u4eba\u5458\u53ef\u8bfb\u5199<\/td>\n<\/tr>\n
      \u6d4b\u8bd5\u73af\u5883(UAT\/Test)<\/td>\n\u6a21\u62df\u751f\u4ea7\u8dd1\u6279\u3001\u9a8c\u8bc1\u8c03\u5ea6\u4f9d\u8d56\u3001\u6027\u80fd\u6d4b\u8bd5<\/td>\n\u4e2d\u7b49\u89c4\u6a21(\u8fd1\u4e09\u4e2a\u6708\u8131\u654f\u6570\u636e)<\/td>\n\u6d4b\u8bd5\u4eba\u5458+\u5f00\u53d1\u8d1f\u8d23\u4eba<\/td>\n<\/tr>\n
      \u751f\u4ea7\u73af\u5883(Prod)<\/span><\/td>\n\u6b63\u5f0f\u8dd1\u6279\u3001\u5bf9\u5916\u63d0\u4f9b\u6570\u636e<\/span><\/td>\n\u5168\u91cf\u771f\u5b9e\u6570\u636e<\/span><\/td>\n\u4e25\u683c\u9650\u5236,\u53ea\u6709\u8c03\u5ea6\u7cfb\u7edf\u8d26\u53f7\u548cDBA\u53ef\u5199,\u5f00\u53d1\u4eba\u5458\u53ea\u8bfb<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u4e2d\u5c0f\u56e2\u961f\u53ef\u80fd\u6ca1\u6709\u72ec\u7acb\u7684\u6d4b\u8bd5\u73af\u5883,\u4f46\u5f00\u53d1\u548c\u751f\u4ea7\u81f3\u5c11\u662f\u5206\u5f00\u7684,\u8fd9\u662f\u5e95\u7ebf\u3002<\/p>\n

      \n

      2. \u600e\u4e48\u505a\u5230\u9694\u79bb?(\u56db\u79cd\u9694\u79bb\u624b\u6bb5)<\/h4>\n\n\u9694\u79bb\u7ef4\u5ea6<\/span>\u505a\u6cd5\u6548\u679c<\/tr>\n\n\n\n\n\n
      Hive \u6570\u636e\u5e93\u9694\u79bb<\/span><\/td>\n\u540c\u4e00\u5957 Hive \u96c6\u7fa4\u91cc\u5efa\u4e0d\u540c\u7684\u6570\u636e\u5e93:db_dev\u3001db_test\u3001db_prod<\/td>\n\u903b\u8f91\u9694\u79bb,\u8868\u540d\u4e0d\u4f1a\u51b2\u7a81,\u8bbf\u95ee\u6743\u9650\u53ef\u4ee5\u5206\u5f00\u63a7\u5236<\/td>\n<\/tr>\n
      HDFS \u76ee\u5f55\u9694\u79bb<\/span><\/td>\n\u5f00\u53d1\u6570\u636e\u5b58\u5728\u00a0\/user\/hive\/warehouse\/dev\/\u00a0\u4e0b,\u751f\u4ea7\u5728\u00a0\/user\/hive\/warehouse\/prod\/<\/td>\n\u7269\u7406\u8def\u5f84\u5206\u5f00,\u5373\u4f7f\u8bef\u64cd\u4f5c\u4e5f\u4e0d\u4f1a\u8986\u76d6\u751f\u4ea7\u6570\u636e\u6587\u4ef6<\/td>\n<\/tr>\n
      \u6743\u9650\u63a7\u5236(Ranger\/Sentry)<\/span><\/td>\n\u5f00\u53d1\u8d26\u53f7\u53ea\u80fd\u8bfb\u5199\u00a0dev\u00a0\u5e93,\u5bf9\u00a0prod\u00a0\u5e93\u53ea\u6709\u00a0SELECT\u00a0\u6743\u9650,\u4e0d\u80fd\u00a0DROP\/INSERT OVERWRITE<\/td>\n\u9632\u6b62\u5f00\u53d1\u4eba\u5458\u8bef\u5220\u751f\u4ea7\u8868<\/td>\n<\/tr>\n
      \u8c03\u5ea6\u7cfb\u7edf\u9694\u79bb<\/span><\/td>\n\u5f00\u53d1\u4efb\u52a1\u5728\u5f00\u53d1\u8c03\u5ea6\u673a\u4e0a\u8dd1,\u751f\u4ea7\u4efb\u52a1\u5728\u751f\u4ea7\u8c03\u5ea6\u673a\u4e0a\u8dd1,\u4e92\u4e0d\u5e72\u6270<\/td>\n\u907f\u514d\u5f00\u53d1\u6d4b\u8bd5\u4efb\u52a1\u89e6\u53d1\u751f\u4ea7\u544a\u8b66\u6216\u5360\u7528\u751f\u4ea7\u8d44\u6e90<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \n

      3. \u5b9e\u9645\u751f\u4ea7\u4e2d\u7684\u64cd\u4f5c\u6d41\u7a0b<\/h4>\n

      \u5f00\u53d1\u4eba\u5458\u7684\u5b8c\u6574\u6d41\u7a0b：<\/p>\n

      bash<\/p>\n

      # Step 1: \u5728 Dev \u73af\u5883\u5199 SQL,\u7528\u5f00\u53d1\u6570\u636e\u9a8c\u8bc1
      \n— \u8fde\u63a5 Dev Hive
      \nuse dev_db;
      \n— \u5199\u903b\u8f91,\u8c03\u8bd5,\u786e\u8ba4\u7ed3\u679c\u6b63\u786e
      \nINSERT OVERWRITE TABLE dev_db.dwd_user_daily PARTITION(dt='2026-06-19')
      \nSELECT … FROM dev_db.ods_user_daily WHERE dt='2026-06-19';<\/p>\n

      # Step 2: \u9a8c\u8bc1\u901a\u8fc7\u540e,\u63d0\u4ea4 Git,\u8d70\u4ee3\u7801\u8bc4\u5ba1
      \ngit add \/etl\/script\/user_dwd.sql
      \ngit commit -m "\u65b0\u589e\u7528\u6237DWD\u5c42\u6e05\u6d17\u903b\u8f91"
      \ngit push origin dev<\/p>\n

      # Step 3: \u53d1\u5e03\u5230\u6d4b\u8bd5\u73af\u5883,\u7528\u6d4b\u8bd5\u6570\u636e\u8dd1\u4e00\u6b21
      \n# （\u8fd0\u7ef4\u6216\u8d1f\u8d23\u53d1\u5e03\u7684\u4eba\u5458\u64cd\u4f5c）
      \nhive -f \/etl\/script\/user_dwd.sql –hivevar env=test –hivevar dt=2026-06-19<\/p>\n

      # Step 4: \u6d4b\u8bd5\u901a\u8fc7\u540e,\u53d1\u5e03\u5230\u751f\u4ea7\u73af\u5883
      \n# （\u53ea\u6709\u8fd0\u7ef4\u6216\u8c03\u5ea6\u7cfb\u7edf\u8d26\u53f7\u80fd\u64cd\u4f5c,\u5f00\u53d1\u4eba\u5458\u6ca1\u6709\u5199\u5165\u6743\u9650）
      \nhive -f \/etl\/script\/user_dwd.sql –hivevar env=prod –hivevar dt=${bizdate}<\/p>\n

      \n

      4. SQL \u811a\u672c\u91cc\u600e\u4e48\u533a\u5206\u73af\u5883?<\/h4>\n

      \u4e00\u79cd\u5e38\u89c1\u7684\u505a\u6cd5\u662f\u5728 SQL \u811a\u672c\u4e2d\u7528\u53d8\u91cf\u63a7\u5236\u5e93\u540d：<\/p>\n

      sql<\/p>\n

      — user_dwd.sql
      \n— \u73af\u5883\u53d8\u91cf: ${env} = dev \/ test \/ prod<\/p>\n

      INSERT OVERWRITE TABLE ${env}_db.dwd_user_daily PARTITION(dt='${dt}')
      \nSELECT
      \n user_id,
      \n user_name,
      \n phone,
      \n update_time
      \nFROM ${env}_db.ods_user_daily
      \nWHERE dt = '${dt}';<\/p>\n

      \u8c03\u5ea6\u7cfb\u7edf\u4f20\u5165\u4e0d\u540c\u7684\u00a0env\u00a0\u53c2\u6570,SQL \u5c31\u80fd\u8dd1\u5728\u4e0d\u540c\u73af\u5883\u7684\u5e93\u4e0a,\u4ee3\u7801\u5b8c\u5168\u590d\u7528\u3002<\/p>\n

      \n

      5. \u4f60\u4eec\u94f6\u884c\u9879\u76ee\u5177\u4f53\u600e\u4e48\u505a\u7684?<\/h4>\n

      \u201c\u6211\u4eec\u5f53\u65f6\u7528\u4e86\u4e00\u5957 Hive \u96c6\u7fa4,\u4f46\u901a\u8fc7\u6570\u636e\u5e93\u540d\u505a\u4e86\u9694\u79bb：<\/p>\n

        \n
      • \n

        ods_xxx\u00a0\/\u00a0dwd_xxx\u00a0\u662f\u751f\u4ea7\u5e93<\/p>\n<\/li>\n

      • \n

        ods_xxx_dev\u00a0\/\u00a0dwd_xxx_dev\u00a0\u662f\u5f00\u53d1\u5e93<\/p>\n<\/li>\n<\/ul>\n

        \u5f00\u53d1\u4eba\u5458\u5728\u81ea\u5df1\u7684 Dev \u5e93\u4e0a\u8c03\u8bd5,\u786e\u8ba4\u65e0\u8bef\u540e,\u5c06 SQL \u811a\u672c\u63d0\u4ea4\u5230 Git \u4ed3\u5e93,\u7136\u540e\u7531\u8c03\u5ea6\u7cfb\u7edf(DolphinScheduler)\u901a\u8fc7\u4e0d\u540c\u7684\u00a0–hivevar\u00a0\u53c2\u6570\u5206\u522b\u8dd1\u6d4b\u8bd5\u548c\u751f\u4ea7\u3002<\/p>\n

        \u6743\u9650\u4e0a,\u6211\u4eec\u7528\u4e86\u00a0Apache Ranger\u00a0\u505a\u7ec6\u7c92\u5ea6\u63a7\u5236：\u5f00\u53d1\u8d26\u53f7\u5bf9\u751f\u4ea7\u8868\u53ea\u6709\u00a0SELECT\u00a0\u6743\u9650,\u4e0d\u80fd\u00a0DROP\u00a0\u6216\u00a0INSERT OVERWRITE,\u9632\u6b62\u8bef\u64cd\u4f5c\u3002\u201d<\/p>\n

        \n

        6. \u9762\u8bd5\u65f6\u600e\u4e48\u7b54<\/h4>\n

        \u201c\u662f\u7684,\u5f00\u53d1\u73af\u5883\u548c\u751f\u4ea7\u73af\u5883\u5fc5\u987b\u4e25\u683c\u9694\u79bb,\u6211\u4eec\u901a\u5e38\u5206\u4e09\u5957：\u5f00\u53d1\u3001\u6d4b\u8bd5\u3001\u751f\u4ea7\u3002<\/p>\n

        \u9694\u79bb\u624b\u6bb5\u4e3b\u8981\u6709\u56db\u4e2a\u5c42\u9762：<\/p>\n

      • \n

        Hive \u6570\u636e\u5e93\u9694\u79bb：\u5efa\u4e0d\u540c\u7684\u5e93,\u5982\u00a0dev_db\u00a0\u548c\u00a0prod_db;<\/p>\n<\/li>\n

      • \n

        HDFS \u76ee\u5f55\u9694\u79bb：\u5f00\u53d1\u548c\u751f\u4ea7\u6570\u636e\u5b58\u5728\u4e0d\u540c\u8def\u5f84\u4e0b;<\/p>\n<\/li>\n

      • \n

        \u6743\u9650\u63a7\u5236：\u5f00\u53d1\u4eba\u5458\u5bf9\u751f\u4ea7\u5e93\u53ea\u6709\u53ea\u8bfb\u6743\u9650,\u4e0d\u80fd\u5220\u8868\u6216\u8986\u76d6\u6570\u636e;<\/p>\n<\/li>\n

      • \n

        \u8c03\u5ea6\u7cfb\u7edf\u9694\u79bb：\u5f00\u53d1\u4efb\u52a1\u548c\u8dd1\u6279\u4efb\u52a1\u4f7f\u7528\u4e0d\u540c\u7684\u8c03\u5ea6\u914d\u7f6e\u3002<\/p>\n<\/li>\n

        \u5f00\u53d1\u4eba\u5458\u5728 Dev \u73af\u5883\u5199\u5b8c SQL \u540e,\u901a\u8fc7 Git \u63d0\u4ea4\u4ee3\u7801,\u8fd0\u7ef4\u6216\u8c03\u5ea6\u7cfb\u7edf\u7528\u4e0d\u540c\u7684\u73af\u5883\u53d8\u91cf\u53d1\u5e03\u5230\u6d4b\u8bd5\u548c\u751f\u4ea7,\u4fdd\u8bc1\u751f\u4ea7\u73af\u5883\u53ea\u8dd1\u9a8c\u8bc1\u8fc7\u7684\u4ee3\u7801\u3002\u201d<\/p>\n

        \n

        7. \u4e00\u53e5\u8bdd\u603b\u7ed3<\/h4>\n

        \u5f00\u53d1\u73af\u5883\u7528\u6765\u9a8c\u8bc1\u903b\u8f91,\u751f\u4ea7\u73af\u5883\u7528\u6765\u6b63\u5f0f\u8dd1\u6279,\u901a\u8fc7\u6570\u636e\u5e93\u540d\u9694\u79bb + \u6743\u9650\u63a7\u5236 + \u8c03\u5ea6\u7cfb\u7edf\u53d8\u91cf\u5b9e\u73b0\u4e09\u5c42\u9694\u79bb,\u4fdd\u8bc1\u751f\u4ea7\u6570\u636e\u7684\u5b89\u5168\u548c\u7a33\u5b9a\u3002<\/span><\/p>\n

        \n

        \u90a3\u5982\u679c\u5f00\u53d1\u4eba\u5458\u9700\u8981\u5728\u751f\u4ea7\u73af\u5883\u67e5\u6570\u636e\u9a8c\u8bc1\u600e\u4e48\u529e？\u53ea\u8bfb\u6743\u9650\u591f\u7528\u5417？<\/h2>\n
        \n

        \u76f4\u63a5\u56de\u7b54：\u53ea\u8bfb\u6743\u9650\u5b8c\u5168\u591f\u7528，\u800c\u4e14\u8fd9\u662f\u6807\u51c6\u505a\u6cd5<\/h3>\n

        \u5f00\u53d1\u4eba\u5458\u5728\u751f\u4ea7\u73af\u5883\u53ea\u9700\u8981\u53ea\u8bfb\u6743\u9650（SELECT），\u4e0d\u9700\u8981\u5199\u5165\u6743\u9650\u3002\u9a8c\u8bc1\u6570\u636e\u3001\u6392\u67e5\u95ee\u9898\u90fd\u53ef\u4ee5\u901a\u8fc7\u53ea\u8bfb\u67e5\u8be2\u5b8c\u6210\u3002<\/p>\n

        \n

        1. \u5f00\u53d1\u4eba\u5458\u5728\u751f\u4ea7\u73af\u5883\u505a\u4ec0\u4e48？<\/h4>\n\n\u64cd\u4f5c\u662f\u5426\u9700\u8981\u5199\u6743\u9650\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n
        \u67e5\u6570\u636e\u91cf\u3001\u770b\u6837\u672c\u6570\u636e<\/span><\/td>\n\u274c \u4e0d\u9700\u8981<\/td>\nSELECT COUNT(*)\u3001SELECT * LIMIT 100<\/td>\n<\/tr>\n
        \u9a8c\u8bc1\u62a5\u8868\u7ed3\u679c\u5bf9\u4e0d\u5bf9<\/span><\/td>\n\u274c \u4e0d\u9700\u8981<\/td>\nSELECT SUM(amount) FROM ads_table WHERE dt='2026-06-19'<\/td>\n<\/tr>\n
        \u6392\u67e5\u6570\u636e\u5f02\u5e38（\u4e3a\u4ec0\u4e48\u5c11\u4e86100\u4e07）<\/span><\/td>\n\u274c \u4e0d\u9700\u8981<\/td>\nSELECT dt, COUNT(*) FROM table GROUP BY dt<\/td>\n<\/tr>\n
        \u770b\u8868\u7ed3\u6784\u3001\u5206\u533a\u4fe1\u606f<\/span><\/td>\n\u274c \u4e0d\u9700\u8981<\/td>\nDESC table\u3001SHOW PARTITIONS table<\/td>\n<\/tr>\n
        \u4fee\u6539\u6570\u636e\u3001\u4fee\u590d\u9519\u8bef<\/span><\/td>\n\u2705\u00a0\u9700\u8981<\/td>\nINSERT OVERWRITE\u3001UPDATE\u3001DELETE<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u7ed3\u8bba：95% \u4ee5\u4e0a\u7684\u65e5\u5e38\u9a8c\u8bc1\u5de5\u4f5c，\u53ea\u8bfb\u6743\u9650\u5c31\u80fd\u5b8c\u6210\u3002\u771f\u6b63\u9700\u8981\u5199\u64cd\u4f5c\u7684\u573a\u666f\u53ea\u6709\u201c\u6570\u636e\u4fee\u590d\u201d，\u90a3\u5e94\u8be5\u7531\u8fd0\u7ef4\/\u8c03\u5ea6\u7cfb\u7edf\u8d26\u53f7\u6216DBA\u6765\u64cd\u4f5c，\u800c\u4e0d\u662f\u5f00\u53d1\u4eba\u5458\u76f4\u63a5\u6267\u884c\u3002<\/span><\/p>\n

        \n

        2. \u5982\u679c\u67e5\u51fa\u6765\u6570\u636e\u4e0d\u5bf9，\u5f00\u53d1\u4eba\u5458\u600e\u4e48\u4fee？<\/h4>\n

        \u6b63\u786e\u7684\u6d41\u7a0b（\u5f00\u53d1\u4eba\u5458\u4e0d\u80fd\u76f4\u63a5\u5199\u751f\u4ea7）：<\/p>\n

        text<\/p>\n

        \u5f00\u53d1\u4eba\u5458\u53d1\u73b0\u751f\u4ea7\u6570\u636e\u6709\u95ee\u9898
        \n \u2193
        \n\u5728\u5f00\u53d1\u73af\u5883\u5b9a\u4f4d\u95ee\u9898（\u67e5\u5f00\u53d1\u6570\u636e\u9a8c\u8bc1\u903b\u8f91）
        \n \u2193
        \n\u4fee\u590d SQL \u811a\u672c
        \n \u2193
        \n\u63d0\u4ea4 Git + \u4ee3\u7801\u8bc4\u5ba1
        \n \u2193
        \n\u5728\u6d4b\u8bd5\u73af\u5883\u8dd1\u4e00\u904d\u9a8c\u8bc1
        \n \u2193
        \n\u901a\u77e5\u8fd0\u7ef4\/\u8c03\u5ea6\u7cfb\u7edf\u8d1f\u8d23\u4eba
        \n \u2193
        \n\u8fd0\u7ef4\u901a\u8fc7\u8c03\u5ea6\u7cfb\u7edf\u91cd\u8dd1\u751f\u4ea7\u4efb\u52a1（\u4f7f\u7528\u4fee\u590d\u540e\u7684\u811a\u672c）<\/p>\n

        \u5173\u952e\u70b9：\u5f00\u53d1\u4eba\u5458\u4e0d\u76f4\u63a5\u64cd\u4f5c\u751f\u4ea7\u6570\u636e，\u800c\u662f\u901a\u8fc7\u811a\u672c\u4fee\u590d + \u8c03\u5ea6\u7cfb\u7edf\u6267\u884c\u7684\u65b9\u5f0f\u5b8c\u6210\u6570\u636e\u4fee\u590d\u3002\u8fd9\u6837\u6240\u6709\u64cd\u4f5c\u90fd\u6709\u65e5\u5fd7\u8bb0\u5f55，\u53ef\u8ffd\u6eaf\u3001\u53ef\u56de\u6eda\u3002<\/span><\/p>\n

        \n

        3. \u90a3\u5982\u679c\u7d27\u6025\u60c5\u51b5（\u6bd4\u5982\u76d1\u7ba1\u62a5\u9001\u9a6c\u4e0a\u8981\u4ea4，\u6570\u636e\u51fa\u9519\u4e86）\u600e\u4e48\u529e？<\/h4>\n

        \u94f6\u884c\u573a\u666f\u4e0b，\u7d27\u6025\u4fee\u590d\u786e\u5b9e\u5b58\u5728\u3002\u4f46\u5373\u4f7f\u662f\u7d27\u6025\u60c5\u51b5，\u4e5f\u6709\u89c4\u8303\u6d41\u7a0b：<\/p>\n\n\u505a\u6cd5\u662f\u5426\u63a8\u8350\u8bf4\u660e<\/tr>\n\n\n\n\n
        \u5f00\u53d1\u4eba\u5458\u76f4\u63a5\u8fde\u751f\u4ea7\u6267\u884c\u00a0INSERT OVERWRITE<\/td>\n\u274c\u00a0\u4e0d\u63a8\u8350<\/td>\n\u98ce\u9669\u592a\u9ad8，\u4e07\u4e00\u5199\u9519\u6761\u4ef6\u4f1a\u628a\u6574\u5f20\u8868\u6e05\u7a7a<\/td>\n<\/tr>\n
        \u5f00\u53d1\u4eba\u5458\u5199\u597d\u4fee\u590d\u811a\u672c，\u63d0\u4ea4 DBA\/\u8fd0\u7ef4\u5ba1\u6838\u540e\u6267\u884c<\/span><\/td>\n\u2705 \u63a8\u8350<\/span><\/td>\n\u6709\u5ba1\u6838\u3001\u6709\u5907\u4efd\u3001\u53ef\u56de\u6eda<\/span><\/td>\n<\/tr>\n
        \u901a\u8fc7\u8c03\u5ea6\u7cfb\u7edf\u91cd\u8dd1\u4fee\u590d\u4efb\u52a1<\/span><\/td>\n\u2705 \u63a8\u8350<\/span><\/td>\n\u8c03\u5ea6\u7cfb\u7edf\u6709\u65e5\u5fd7\u3001\u6709\u544a\u8b66\u3001\u53ef\u8ffd\u6eaf<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u5982\u679c\u4e00\u5b9a\u8981\u8ba9\u5f00\u53d1\u4eba\u5458\u6709\u5199\u5165\u6743\u9650（\u6781\u5c11\u6570\u60c5\u51b5），\u81f3\u5c11\u8981\u6ee1\u8db3：<\/p>\n

          \n
        • \n

          \u64cd\u4f5c\u524d\u5907\u4efd\u8868（CREATE TABLE backup_table AS SELECT * FROM target_table）<\/p>\n<\/li>\n

        • \n

          \u9650\u5236\u53ea\u80fd\u64cd\u4f5c\u7279\u5b9a\u5206\u533a（\u5982\u00a0WHERE dt='2026-06-19'），\u4e0d\u80fd\u5168\u8868\u8986\u76d6<\/p>\n<\/li>\n

        • \n

          \u64cd\u4f5c\u540e\u7acb\u5373\u64a4\u9500\u5199\u6743\u9650<\/p>\n<\/li>\n<\/ul>\n

          \n

          4. \u9762\u8bd5\u65f6\u600e\u4e48\u7b54（\u5b8c\u6574\u7248）<\/h4>\n

          \u201c\u5f00\u53d1\u4eba\u5458\u5728\u751f\u4ea7\u73af\u5883\u67e5\u6570\u636e\u9a8c\u8bc1，\u53ea\u8bfb\u6743\u9650\u5b8c\u5168\u591f\u7528\u3002<\/p>\n

          \u6211\u4eec\u65e5\u5e38\u9a8c\u8bc1\u90fd\u662f\u901a\u8fc7\u00a0SELECT\u00a0\u67e5\u8be2\u6765\u5b8c\u6210\u2014\u2014\u67e5\u6570\u636e\u91cf\u3001\u67e5\u6c47\u603b\u7ed3\u679c\u3001\u67e5\u6837\u672c\u6570\u636e，\u8fd9\u4e9b\u90fd\u53ea\u9700\u8981\u53ea\u8bfb\u6743\u9650\u3002<\/p>\n

          \u5982\u679c\u53d1\u73b0\u6570\u636e\u6709\u95ee\u9898，\u5f00\u53d1\u4eba\u5458\u4e0d\u76f4\u63a5\u5728\u751f\u4ea7\u73af\u5883\u6539\u6570，\u800c\u662f\u5728\u5f00\u53d1\u73af\u5883\u4fee\u590d SQL \u811a\u672c，\u63d0\u4ea4 Git \u8d70\u4ee3\u7801\u8bc4\u5ba1，\u7136\u540e\u7531\u8c03\u5ea6\u7cfb\u7edf\u91cd\u65b0\u8dd1\u6279，\u6216\u8005\u7531\u00a0DBA\/\u8fd0\u7ef4\u00a0\u6267\u884c\u4fee\u590d\u811a\u672c\u3002\u8fd9\u6837\u6240\u6709\u64cd\u4f5c\u90fd\u6709\u65e5\u5fd7\u8bb0\u5f55，\u53ef\u8ffd\u6eaf\u3001\u53ef\u56de\u6eda\u3002<\/p>\n

          \u94f6\u884c\u573a\u666f\u4e0b，\u76d1\u7ba1\u62a5\u9001\u7684\u6570\u636e\u51c6\u786e\u6027\u8981\u6c42\u6781\u9ad8，\u4e0d\u5141\u8bb8\u5f00\u53d1\u4eba\u5458\u968f\u610f\u5728\u751f\u4ea7\u73af\u5883\u5199\u6570\u636e，\u8fd9\u662f\u4fdd\u969c\u6570\u636e\u5b89\u5168\u7684\u57fa\u672c\u7ea2\u7ebf\u3002\u201d<\/p>\n

          \n

          5. \u8865\u5145\u4e00\u53e5<\/h4>\n

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          \n

          6. \u4e00\u53e5\u8bdd\u603b\u7ed3<\/h4>\n

          \u5f00\u53d1\u4eba\u5458\u5728\u751f\u4ea7\u73af\u5883\u53ea\u9700\u8981\u53ea\u8bfb\u6743\u9650，\u67e5\u6570\u636e\u9a8c\u8bc1\u5b8c\u5168\u591f\u7528\u3002\u4fee\u590d\u6570\u636e\u901a\u8fc7\u8c03\u5ea6\u7cfb\u7edf\u6216 DBA \u6267\u884c，\u4e0d\u76f4\u63a5\u5199\u751f\u4ea7，\u4fdd\u8bc1\u5b89\u5168\u53ef\u8ffd\u6eaf\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

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