{"id":49233,"date":"2023-12-16T00:34:11","date_gmt":"2023-07-30T03:56:29","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e9%80%9a%e8%bf%87terraform%e5%ae%9e%e7%8e%b0%e7%9a%84databricks%e5%b7%a5%e4%bd%9c%e6%b5%81\/"},"modified":"2024-05-04T13:45:40","modified_gmt":"2024-05-04T05:45:40","slug":"%e9%80%9a%e8%bf%87terraform%e5%ae%9e%e7%8e%b0%e7%9a%84databricks%e5%b7%a5%e4%bd%9c%e6%b5%81","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e9%80%9a%e8%bf%87terraform%e5%ae%9e%e7%8e%b0%e7%9a%84databricks%e5%b7%a5%e4%bd%9c%e6%b5%81\/","title":{"rendered":"\u901a\u8fc7Terraform\u5b9e\u73b0\u7684Databricks\u5de5\u4f5c\u6d41"},"content":{"rendered":"

\u901a\u8fc7Terraform\u5b9e\u73b0Databricks\u5de5\u4f5c\u6d41\u7a0b – Databricks\u535a\u5ba2\u7684\u7ffb\u8bd1\u3002<\/p>\n

\u8be5\u4e66\u4e3a\u6284\u8bd1\u7248\u672c\uff0c\u4e0d\u80fd\u4fdd\u8bc1\u5185\u5bb9\u7684\u51c6\u786e\u6027\u3002\u8bf7\u53c2\u8003\u539f\u6587\u4ee5\u83b7\u53d6\u51c6\u786e\u7684\u5185\u5bb9\u3002<\/div>\n

\u8fd9\u662f\u6709\u5173\u901a\u8fc7Terraform\u90e8\u7f72\u5de5\u4f5c\u6d41\u7a0b\u7684\u535a\u5ba2\u7cfb\u5217\u7684\u7b2c1\u90e8\u5206\u3002\u6211\u4eec\u5c06\u4f7f\u7528Terraform\u7684\u57fa\u7840\u67b6\u6784\u5373\u4ee3\u7801\u6765\u4ecb\u7ecd\u5982\u4f55\u5728Databricks\u4e0a\u4ece\u96f6\u5f00\u59cb\u521b\u5efa\u590d\u6742\u7684\u4f5c\u4e1a\u548c\u5de5\u4f5c\u6d41\u7a0b\u3002<\/p>\n

\u901a\u8fc7Databricks\u5de5\u4f5c\u6d41\u7a0b\u7684\u7528\u6237\u754c\u9762\u53ef\u4ee5\u8f7b\u677e\u76f4\u89c2\u5730\u5904\u7406\u6570\u636e\u52a0\u5de5\u8fc7\u7a0b\u3002\u9009\u62e9\u4ee3\u7801\uff0c\u9009\u62e9\u8ba1\u7b97\u8d44\u6e90\uff0c\u5b9a\u4e49\u4efb\u52a1\u4e4b\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u7136\u540e\u5b89\u6392\u4f5c\u4e1a\u6216\u5de5\u4f5c\u6d41\u7a0b\u7684\u65f6\u95f4\u8868\u3002\u5982\u6709\u9700\u8981\uff0c\u8fd8\u53ef\u4ee5\u7acb\u5373\u542f\u52a8\u3002\u5c31\u662f\u8fd9\u4e48\u7b80\u5355\u3002\u8bb8\u591a\u5c0f\u56e2\u961f\u7ecf\u5e38\u5bf9\u4f7f\u7528\u5de5\u4f5c\u6d41\u7a0b\u6765\u6784\u5efa\u6570\u636e\u5de5\u7a0b\u7ba1\u9053\u548c\u673a\u5668\u5b66\u4e60\u7ba1\u9053\u7684\u901f\u5ea6\u611f\u5230\u60ca\u8bb6\u3002<\/p>\n

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\u7d99\u7d9a\u7684\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3 \/ \u7d99\u7d9a\u7684\u30c7\u30ea\u30d0\u30ea\u30fc (CI\/CD)<\/p>\n

\u3042\u308bDatabricks\u74b0\u5883\u304b\u3089\u5225\u306e\u74b0\u5883\u306b\u3069\u306e\u3088\u3046\u306b\u30b8\u30e7\u30d6\u3092\u8907\u88fd\u3059\u308b\u306e\u304b\uff1f
\n\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u304c\u540c\u671f\u3055\u308c\u7d9a\u3051\u3066\u3044\u308b\u3053\u3068\u3092\u3069\u306e\u3088\u3046\u306b\u4fdd\u969c\u3059\u308b\u306e\u304b\uff1f\u7279\u306b\u3053\u308c\u306f\u30c7\u30a3\u30b6\u30b9\u30bf\u30fc\u30ea\u30ab\u30d0\u30ea\u30fc\u306e\u30b7\u30ca\u30ea\u30aa\u3067\u91cd\u8981\u3068\u306a\u308a\u307e\u3059\u3002
\n\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u8a2d\u5b9a\u304c\u5909\u66f4\u3055\u308c\u305f\u969b\u3001\u5168\u3066\u306e\u74b0\u5883\u306e\u30ec\u30d7\u30ea\u30ab\u306b\u5bfe\u3057\u3066\u5909\u66f4\u3092\u3069\u306e\u3088\u3046\u306b\u30ed\u30fc\u30eb\u30a2\u30a6\u30c8\u3059\u308b\u306e\u304b\uff1f<\/p>\n

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\n\u3069\u306e\u3088\u3046\u306b\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3068\u3057\u3066\u6d3b\u7528\u3057\u3001\u305d\u308c\u304b\u3089\u3055\u3089\u306b\u8907\u96d1\u306a\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u30d5\u30a9\u30fc\u30af\u3059\u308b\u306e\u304b\uff1f
\n\u3069\u306e\u3088\u3046\u306b\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u30e2\u30b8\u30e5\u30fc\u30eb\u5316\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u30c1\u30fc\u30e0\u304c\u81ea\u8eab\u306e\u30d1\u30fc\u30c4\u3092\u6301\u3066\u308b\u3088\u3046\u306b\u3067\u304d\u308b\u306e\u304b\uff1f<\/p>\n

\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u7684\u65b9\u6cd5\u662f\u5c06\u5de5\u4f5c\u6d41\u914d\u7f6e\u8f6c\u6362\u4e3a ‘\u4ee3\u7801’\uff0c\u5e76\u901a\u8fc7\u4f7f\u7528\u4ee3\u7801\u5e93\u8fdb\u884c\u7248\u672c\u63a7\u5236\u3002\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u4ece\u4ee3\u7801\u5e93\u4e2d\u521b\u5efa\u5206\u652f\u6216\u8005\u6d3e\u751f\u6765\u751f\u6210\u65b0\u7684\u5de5\u4f5c\u6d41\uff08\u6216\u8005\u66f4\u65b0\u73b0\u6709\u7684\u5de5\u4f5c\u6d41\uff09\uff0c\u7136\u540e\u901a\u8fc7CI\/CD\u81ea\u52a8\u5316\u8fdb\u884c\u90e8\u7f72\u3002\u4e00\u65e6\u5145\u5206\u6a21\u5757\u5316\uff0c\u4e0d\u540c\u7684\u56e2\u961f\u5c31\u53ef\u4ee5\u540c\u65f6\u4f7f\u7528\u4e0d\u540c\u7684\u5de5\u4f5c\u6d41\u6a21\u5757\u8fdb\u884c\u5de5\u4f5c\u3002\u542c\u8d77\u6765\u5f88\u5438\u5f15\u4eba\uff0c\u4f46\u5b9e\u9645\u4e0a Workflow as Code \u662f\u4ec0\u4e48\u5462\uff1f\u4e3a\u4e86\u7406\u89e3\u8fd9\u4e00\u70b9\uff0c\u8ba9\u6211\u4eec\u9996\u5148\u770b\u4e00\u4e0bDatabricks\u5de5\u4f5c\u6d41\u7684\u7ec4\u6210\u90e8\u5206\u3002<\/p>\n

\u8bf7\u6ce8\u610f\uff0c\u4ece\u5386\u53f2\u4e0a\u770b\uff0cJob \u5728 Databricks \u4e2d\u88ab\u5e7f\u6cdb\u4f7f\u7528\uff0c\u5e76\u6210\u4e3a\u4e00\u4e2a\u5373\u53ef\u7528\u7684 Orchestration \u5f15\u64ce\u3002\u6700\u8fd1\u63a8\u51fa\u7684 Workflow \u529f\u80fd\u8fdb\u4e00\u6b65\u63a8\u52a8\u4e86 Job \u7684\u529f\u80fd\uff0c\u5e76\u5c06\u5176\u7eb3\u5165\u4e86 Orchestration \u5de5\u5177\u7684\u7cfb\u5217\u4e2d\u3002\u5728 Workflow \u4e0b\uff0c\u60a8\u53ef\u4ee5\u5229\u7528 Job\u3001Delta Live Tables \u7ba1\u9053\u7684 Orchestration\u3001\u9ad8\u7ea7\u901a\u77e5\u529f\u80fd\u3001\u7528\u4e8e\u6267\u884c\u5386\u53f2\u5206\u6790\u7684\u4eea\u8868\u76d8\u4ee5\u53ca\u8fc5\u901f\u589e\u52a0\u7684\u4e00\u7cfb\u5217\u529f\u80fd\u3002\u7531\u4e8e\u4e0e\u5148\u524d\u7684\u529f\u80fd\u517c\u5bb9\uff0c\u672c\u6587\u4e2d Workflow \u548c Job \u8fd9\u4e24\u4e2a\u5173\u952e\u8bcd\u5c06\u88ab\u540c\u6837\u5730\u4f7f\u7528\u3002<\/p>\n

Databricks\u5de5\u4f5c\u6d41\u7a0b<\/h1>\n
\"\"<\/div>\n

Tasks\u6807\u7b7e\u4ee5\u975e\u5e38\u4f18\u96c5\u7684\u65b9\u5f0f\u663e\u793a\u4efb\u52a1\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4f46\u5728\u5b9e\u9645\u64cd\u4f5c\u4e2d\u4f1a\u6d89\u53ca\u5230\u5404\u79cd\u8c03\u6574\u548c\u89c4\u5b9a\u3002\u5bf9\u4e8e\u90a3\u4e9b\u9700\u8981\u4e0e\u591a\u4e2a\u56e2\u961f\u4e00\u8d77\u5b8c\u6210\u5927\u89c4\u6a21\u5de5\u4f5c\u7684\u4f01\u4e1a\u6765\u8bf4\uff0c\u9ad8\u6548\u7ba1\u7406\u8fd9\u4e9b\u8c03\u6574\u548c\u89c4\u5b9a\u7684\u9700\u6c42\u975e\u5e38\u91cd\u8981\u3002\u8981\u4e86\u89e3\u6b64\u95ee\u9898\u7684\u7a0b\u5ea6\uff0c\u5c31\u9700\u8981\u7406\u89e3\u5185\u90e8\u5de5\u4f5c\u6d41\u7a0b\u7684\u8fd0\u4f5c\u65b9\u5f0f\u3002<\/p>\n

\u5de5\u4f5c\u6d41\u7531\u4e00\u4e2a\u6216\u591a\u4e2a\u4efb\u52a1\u7ec4\u6210\uff0c\u7528\u4e8e\u5b9e\u73b0\u4e1a\u52a1\u903b\u8f91\u3002\u6bcf\u4e2a\u4efb\u52a1\u9700\u8981\u8bbf\u95ee\u4ee3\u7801\u3002\u8fd9\u4e9b\u4ee3\u7801\u5c06\u5728\u8ba1\u7b97\u96c6\u7fa4\u4e0a\u6267\u884c\u3002\u7136\u540e\uff0c\u96c6\u7fa4\u9700\u8981\u6709\u5173Databricks\u8fd0\u884c\u65f6\u3001\u5b9e\u4f8b\u7c7b\u578b\u548c\u5b89\u88c5\u7684\u5e93\u7684\u8be6\u7ec6\u4fe1\u606f\u3002\u5982\u679c\u4efb\u52a1\u5931\u8d25\u4f1a\u53d1\u751f\u4ec0\u4e48\uff1f\u8c01\u4f1a\u53d7\u5230\u901a\u77e5\uff1f\u662f\u5426\u9700\u8981\u5b9e\u73b0\u91cd\u8bd5\u529f\u80fd\uff1f\u6b64\u5916\uff0c\u4f5c\u4e1a\u8fd8\u9700\u8981\u5143\u6570\u636e\u6765\u6307\u793aDatabricks\u5982\u4f55\u542f\u52a8\u3002\u53ef\u4ee5\u624b\u52a8\u542f\u52a8\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u5916\u90e8\u89e6\u53d1\u5668\uff08\u57fa\u4e8e\u65f6\u95f4\u6216\u4e8b\u4ef6\uff09\u542f\u52a8\u3002\u8fd8\u9700\u8981\u8bbe\u7f6e\u5141\u8bb8\u7684\u540c\u65f6\u8fd0\u884c\u6570\u4ee5\u53ca\u4e0e\u7ba1\u7406\u8005\u76f8\u5173\u7684\u6743\u9650\u8bbe\u7f6e\u3002<\/p>\n

\"\"<\/div>\n

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\u89e3\u51b3\u65b9\u6848\u662f\u4ec0\u4e48\uff1f\u6b22\u8fce\u6765\u5230\u57fa\u7840\u8bbe\u65bd\u5373\u4ee3\u7801(IaC)\u548cTerraform\u3002<\/p>\n

Terraform\u548cIaC<\/h1>\n
\"\"<\/div>\n

\u5728Databricks\u7684\u57fa\u7840\u8bbe\u65bd\u4e2d – \u662f\u9e1f\u8fd8\u662f\u98de\u673a\uff1f<\/h1>\n

\u5728Databricks\u7684\u80cc\u666f\u4e0b\uff0c”cluster”\uff08\u96c6\u7fa4\uff09\uff0c”notebook”\uff08\u7b14\u8bb0\u672c\uff09\uff0c”workspace”\uff08\u5de5\u4f5c\u533a\uff09\u7b49\u672f\u8bed\u5b9e\u9645\u4e0a\u5177\u6709\u4ec0\u4e48\u610f\u4e49\u5462\uff1f\u4ece\u67d0\u79cd\u610f\u4e49\u4e0a\u8bf4\uff0c\u8fd9\u5c31\u662f\u5168\u90e8\uff0c\u4e5f\u66f4\u751a\u4e8e\u6b64\u3002Databricks\u7684\u5bf9\u8c61\uff0c\u5982\u7528\u6237\u3001\u7b14\u8bb0\u672c\u3001\u4f5c\u4e1a\u3001\u96c6\u7fa4\u3001\u5de5\u4f5c\u533a\u3001\u4ed3\u5e93\u3001\u79d8\u94a5\u7b49\uff0c\u5728Terraform\u7684\u672f\u8bed\u4e2d\u90fd\u88ab\u79f0\u4e3a\u57fa\u7840\u67b6\u6784\u3002\u66f4\u51c6\u786e\u7684\u672f\u8bed\u5e94\u8be5\u662f\u8d44\u6e90\u3002Terraform Databricks\u63d0\u4f9b\u5546\u662f\u4e00\u4e2a\u63d2\u4ef6\uff0c\u4e3aDatabricks\u63d0\u4f9b\u4e86\u7528\u4e8e\u90e8\u7f72\u8fd9\u4e9b\u8d44\u6e90\u7684\u6a21\u677f\u3002\u4eceDatabricks\u81ea\u8eab\u7684\u90e8\u7f72\u5f00\u59cb\uff0c\u901a\u8fc7\u8fd9\u4e2a\u63d2\u4ef6\u53ef\u4ee5\u5b9e\u73b0\u51e0\u4e4e\u6240\u6709Databricks\u8d44\u6e90\u7684\u90e8\u7f72\u548c\u7ba1\u7406\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u540d\u4e3a”shared_autoscaling”\u7684\u8d44\u6e90\u793a\u4f8b\uff0c\u5b83\u6307\u5b9a\u4e86Databricks\u96c6\u7fa4\u8d44\u6e90\u7684HashiCorp\u8bed\u8a00\uff08\u4e5f\u79f0\u4e3aTerraform\u8bed\u8a00\uff09\u3002\u672c\u6587\u5c55\u793a\u4e86\u7528\u4e8e\u5728AWS\u4e0a\u90e8\u7f72\u57fa\u7840\u67b6\u6784\u7684\u4ee3\u7801\u7247\u6bb5\u3002<\/p>\n

data<\/span> \"databricks_node_type\"<\/span> \"smallest\"<\/span> {<\/span>\r\n  local_disk<\/span> =<\/span> true<\/span>\r\n}<\/span>\r\n\r\ndata<\/span> \"databricks_spark_version\"<\/span> \"latest_lts\"<\/span> {<\/span>\r\n  long_term_support<\/span> =<\/span> true<\/span>\r\n}<\/span>\r\n\r\nresource<\/span> \"databricks_cluster\"<\/span> \"shared_autoscaling\"<\/span> {<\/span>\r\n  cluster_name<\/span>            =<\/span> \"Shared Autoscaling\"<\/span>\r\n  spark_version<\/span>           =<\/span> data<\/span>.<\/span>databricks_spark_version<\/span>.<\/span>latest_lts<\/span>.<\/span>id<\/span>\r\n  node_type_id<\/span>            =<\/span> data<\/span>.<\/span>databricks_node_type<\/span>.<\/span>smallest<\/span>.<\/span>id<\/span>\r\n  autotermination_minutes<\/span> =<\/span> 20<\/span>\r\n  autoscale<\/span> {<\/span>\r\n    min_workers<\/span> =<\/span> 1<\/span>\r\n    max_workers<\/span> =<\/span> 50<\/span>\r\n  }<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
\"\"<\/div>\n
\u901a\u8fc7 Terraform \u90e8\u7f72\u591a\u4efb\u52a1\u4f5c\u4e1a\u8d44\u6e90<\/h1>\n
\"\"<\/div>\n
\u8fd9\u4e9b\u7ec4\u4ef6\u5c06\u88ab\u5c55\u5f00\u5e76\u90e8\u7f72\u5728\u4e09\u4e2a\u6b65\u9aa4\u4e2d\u3002<\/p>\n
    \n
  1. \n
      \u63d0\u4f9b\u8005\u7684\u8bbe\u7f6e\u548cDatabricks\u7684\u8ba4\u8bc1\u3002<\/ol>\n<\/li>\n<\/ol>\n
       <\/p>\n
        \n
      1. \n
          \u89e3\u51b3\u6240\u6709\u4e0a\u6e38\u8d44\u6e90\u4f9d\u8d56\u5173\u7cfb\uff0c\u5982\u7b14\u8bb0\u672c\u3001\u5b58\u50a8\u5e93\u3001\u4ea4\u4e92\u5f0f\u7fa4\u96c6\u3001Git\u51ed\u636e\u548cinit\u811a\u672c\u3002<\/ol>\n<\/li>\n<\/ol>\n
           <\/p>\n
            \u521b\u5efa\u4e34\u65f6\u4f5c\u4e1a\u7fa4\u96c6\u3001\u4efb\u52a1\u3001\u4f9d\u8d56\u4efb\u52a1\u3001\u901a\u77e5\u8be6\u60c5\u3001\u8ba1\u5212\u3001\u91cd\u8bd5\u7b56\u7565\u7b49\u4f5c\u4e1a\u7ec4\u4ef6\u3002<\/ol>\n
            \u4f7f\u7528Databricks\u8fdb\u884c\u8bbe\u7f6e\u548c\u8ba4\u8bc1<\/h1>\n
            \u4f7f\u7528Terraform Databricks\u63d0\u4f9b\u7a0b\u5e8f\u7684\u7b2c\u4e00\u6b65\u662f\u5c06\u63d0\u4f9b\u7a0b\u5e8f\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6\u6dfb\u52a0\u5230\u9879\u76ee\u7684\u5de5\u4f5c\u76ee\u5f55\u4e2d\u3002\u4e3a\u6b64\uff0c\u60a8\u9700\u8981\u5728\u5de5\u4f5c\u76ee\u5f55\u4e2d\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a.tf\u7684\u6587\u4ef6\uff0c\u5176\u4e2d\u5305\u542b\u4ee5\u4e0b\u5185\u5bb9\uff08\u8bf7\u4ece\u53d1\u5e03\u5386\u53f2\u4e2d\u9009\u62e9\u60a8\u559c\u6b22\u7684\u63d0\u4f9b\u7a0b\u5e8f\u7248\u672c\uff09\uff0c\u7136\u540e\u8fd0\u884c\u547d\u4ee4terraform init\u3002<\/p>\n
            terraform<\/span> {<\/span>\r\n  required_providers<\/span> {<\/span>\r\n    databricks<\/span> =<\/span> {<\/span>\r\n      source<\/span> =<\/span> \"databricks\/databricks\"<\/span>\r\n      version<\/span> =<\/span> \"1.6.1\"<\/span> # provider version<\/span>\r\n    }<\/span>\r\n  }<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
            \u4e3a\u4e86\u4f7fTerraform\u80fd\u591f\u901a\u8fc7Databricks Workspace\u8fdb\u884c\u8ba4\u8bc1\u5e76\u8fdb\u884c\u57fa\u7840\u8bbe\u65bd\u7684\u914d\u7f6e\uff0c\u9700\u8981\u5c06\u7528\u4e8e\u521b\u5efa\u5de5\u4f5c\u6587\u4ef6\u5939\u7684\u4ee4\u724c\u8be6\u7ec6\u4fe1\u606f\u8bb0\u5f55\u5728.tf\u6587\u4ef6\u4e2d\u3002<\/p>\n
            provider<\/span> \"databricks\"<\/span> {<\/span>\r\n host<\/span>  =<\/span> \"https:\/\/my-databricks-workspace.cloud.databricks.com\"<\/span>\r\n token<\/span> =<\/span> \"my-databricks-api-token\"<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
            \u6709\u5173\u521b\u5efaDatabricks API\u4ee4\u724c\u7684\u65b9\u6cd5\uff0c\u8bf7\u53c2\u9605\u6b64\u6587\u6863\u3002\u6709\u5173\u5176\u4ed6\u8ba4\u8bc1\u8bbe\u7f6e\u65b9\u6cd5\uff0c\u8bf7\u53c2\u9605\u6b64\u5904\u3002\u8bf7\u6ce8\u610f\uff0c\u4e0d\u63a8\u8350\u5728\u660e\u6587\u4e2d\u786c\u7f16\u7801\u51ed\u636e\u3002\u8fd9\u4ec5\u7528\u4e8e\u6f14\u793a\u76ee\u7684\u3002\u5f3a\u70c8\u5efa\u8bae\u4f7f\u7528\u652f\u6301\u52a0\u5bc6\u7684Terraform\u540e\u7aef\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u73af\u5883\u53d8\u91cf\uff0c~\/.databrickscfg\u6587\u4ef6\uff0c\u52a0\u5bc6\u7684.tfvars\u6587\u4ef6\u6216\u60a8\u559c\u6b22\u7684\u79d8\u5bc6\u5b58\u50a8\uff08Hashicorp Vault\u3001AWS Secrets Manager\u3001AWS Param Store\u3001Azure Key Vault\uff09\u3002<\/p>\n
            \u4e0a\u6e38\u8d44\u6e90\u4f9d\u8d56\u5173\u7cfb\u7684\u90e8\u7f72<\/h1>\n
            \u901a\u8fc7\u4e0b\u8f7dDatabricks\u63d0\u4f9b\u7a0b\u5e8f\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6\u5e76\u8bbe\u7f6e\u4ee4\u724c\u6587\u4ef6\uff0cTerraform\u53ef\u4ee5\u5c06\u8d44\u6e90\u90e8\u7f72\u5230\u4ee4\u724c\u6587\u4ef6\u4e2d\u6307\u5b9a\u7684\u5de5\u4f5c\u533a\u3002\u91cd\u8981\u7684\u662f\uff0c\u9700\u8981\u914d\u7f6e\u6240\u6709\u4e0e\u4f5c\u4e1a\u76f8\u5173\u7684\u8d44\u6e90\u3002<\/p>\n
              \u30b8\u30e7\u30d6\u306b\u542b\u307e\u308c\u308b\u30bf\u30b9\u30af\u304c\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u6700\u521d\u306b\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u30c7\u30d7\u30ed\u30a4\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u3063\u3066\u3001\u30b8\u30e7\u30d6\u306eTerraform\u30b3\u30fc\u30c9\u306f\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30af\u30e9\u30b9\u30bf\u30fc\u306eid\u3092\u53d6\u5f97\u3057\u3001\u5f15\u6570existing_cluster_id\u306b\u5f15\u304d\u6e21\u305b\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/ul>\n
              data<\/span> \"databricks_current_user\"<\/span> \"me\"<\/span> {}<\/span>\r\ndata<\/span> \"databricks_spark_version\"<\/span> \"latest\"<\/span> {}<\/span>\r\ndata<\/span> \"databricks_spark_version\"<\/span> \"latest_lts\"<\/span> {<\/span>\r\n long_term_support<\/span> =<\/span> true<\/span>\r\n}<\/span>\r\ndata<\/span> \"databricks_node_type\"<\/span> \"smallest\"<\/span> {<\/span>   \r\n local_disk<\/span> =<\/span> true<\/span>\r\n}<\/span>\r\n\r\n# create interactive cluster<\/span>\r\nresource<\/span> \"databricks_cluster\"<\/span> \"my_interactive_cluster\"<\/span> {<\/span>\r\n cluster_name<\/span>            =<\/span> \"my_favorite_interactive_cluster\"<\/span>\r\n spark_version<\/span>           =<\/span> data<\/span>.<\/span>databricks_spark_version<\/span>.<\/span>latest_lts<\/span>.<\/span>id<\/span>\r\n node_type_id<\/span>            =<\/span> data<\/span>.<\/span>databricks_node_type<\/span>.<\/span>smallest<\/span>.<\/span>id<\/span>\r\n autotermination_minutes<\/span> =<\/span> 20<\/span>\r\n autoscale<\/span> {<\/span>\r\n   min_workers<\/span> =<\/span> 1<\/span>\r\n   max_workers<\/span> =<\/span> 2<\/span>\r\n }<\/span>\r\n}<\/span>\r\n# create a multi-task job<\/span>\r\nresource<\/span> \"databricks_job\"<\/span> \"my_mtj\"<\/span> {<\/span>\r\n name<\/span> =<\/span> \"Job with multiple tasks\"<\/span>\r\n   task<\/span> {<\/span>\r\n       # arguments to create a task<\/span>\r\n      \r\n       # reference the pre-created cluster here<\/span>\r\n       existing_cluster_id<\/span> =<\/span> \"<\/span>${<\/span>databricks_cluster<\/span>.<\/span>my_interactive_cluster<\/span>.<\/span>id<\/span>}<\/span>\"<\/span>\r\n\r\n   }<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
                \u30b8\u30e7\u30d6\u306e\u30bf\u30b9\u30af\u304c\u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u3084Databricks Repo\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u6700\u521d\u306b\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3084Repo\u3092\u30c7\u30d7\u30ed\u30a4\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002Repo\u3084\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u3001IAM(Identity and Access Management)\u3084Git\u8cc7\u683c\u60c5\u5831\u306a\u3069\u306e\u4e0a\u6d41\u306e\u4f9d\u5b58\u95a2\u4fc2\u3092\u6301\u3063\u3066\u3044\u308b\u5834\u5408\u304c\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u4e8b\u524d\u306b\u3053\u308c\u3089\u3092\u30d7\u30ed\u30d3\u30b8\u30e7\u30f3\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/ul>\n
                data<\/span> \"databricks_current_user\"<\/span> \"me\"<\/span> {<\/span> }<\/span> \r\n\r\n# notebook will be copied from local path<\/span>\r\n# and provisioned in the path provided<\/span>\r\n# inside Databricks Workspace<\/span>\r\nresource<\/span> \"databricks_notebook\"<\/span> \"my_notebook\"<\/span> {<\/span> \r\n  source<\/span> =<\/span> \"<\/span>${<\/span>path<\/span>.<\/span>module}<\/span>\/my_notebook.py\"<\/span> \r\n  path<\/span> =<\/span> \"<\/span>${data<\/span>.<\/span>databricks_current_user<\/span>.<\/span>me<\/span>.<\/span>home<\/span>}<\/span>\/AA\/BB\/CC\"<\/span> \r\n}<\/span>\r\n<\/code><\/pre>\n
                \u30af\u30e9\u30b9\u30bf\u30fc\u30dd\u30ea\u30b7\u30fc \u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u30d7\u30fc\u30eb\u3001Delta Live Tables\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306f\u4e0a\u6d41\u306e\u30ea\u30bd\u30fc\u30b9\u4f9d\u5b58\u95a2\u4fc2\u3067\u3059\u3002\u3053\u308c\u3089\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306b\u306f\u3001\u4e8b\u524d\u306b\u89e3\u6c7a\u3057\u3066\u304a\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n
                \u90e8\u7f72\u5de5\u4f5c\u7ec4\u4ef6<\/h1>\n
                \"\"<\/div>\n
                \u4ece\u521b\u5efadatabricks_job\u8d44\u6e90\u7684\u5bb9\u5668\u5f00\u59cb\u3002\u8bf7\u6ce8\u610f\u8bbe\u7f6e\u4e86\u8bf8\u5982\u8c03\u5ea6\u3001\u6700\u5927\u540c\u65f6\u8fd0\u884c\u6570\u7b49\u4f5c\u4e1a\u7ea7\u53c2\u6570\u3002<\/p>\n
                resource<\/span> \"databricks_job\"<\/span> \"name_of_my_job\"<\/span> {<\/span>\r\n name<\/span> =<\/span> \"my_multi_task_job\"<\/span>\r\n max_concurrent_runs<\/span> =<\/span> 1<\/span>\r\n\r\n # job schedule<\/span>\r\n schedule<\/span> {<\/span>\r\n   quartz_cron_expression<\/span> =<\/span> \"0 0 0 ? 1\/1 * *\"<\/span> # cron schedule of job<\/span>\r\n   timezone_id<\/span> =<\/span> \"UTC\"<\/span>\r\n  }<\/span>\r\n\r\n # notifications at job level<\/span>\r\n email_notifications<\/span> {<\/span>\r\n   on_success<\/span> =<\/span> [<\/span>\"111@abc.com\"<\/span>,<\/span> \"222@abc.com\"<\/span>]<\/span>\r\n     on_start<\/span>   =<\/span> [<\/span>\"222@abc.com\"<\/span>]<\/span>\r\n     on_failure<\/span> =<\/span> [<\/span>\"my_distribution_list@abc.com\"<\/span>]<\/span>\r\n }<\/span>\r\n\r\n # reference to git repo. Add the git credential separately<\/span>\r\n # through a databricks_git_credential resource<\/span>\r\n git_source<\/span> {<\/span>\r\n   url<\/span>      =<\/span> \"https:\/\/github.com\/udaysat-db\/test-repo.git\"<\/span>\r\n   provider<\/span> =<\/span> \"gitHub\"<\/span>\r\n   branch<\/span>   =<\/span> \"main\"<\/span>\r\n }<\/span>\r\n\r\n # Create blocks for Jobs Clusters here #<\/span>\r\n\r\n # Create blocks for Tasks here #<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
                \u5728\u63a5\u4e0b\u6765\u7684\u6b65\u9aa4\u4e2d\uff0c\u6211\u4eec\u4f1a\u521b\u5efa\u4e00\u4e2a\u4e0e\u6b64\u4efb\u52a1\u5bff\u547d\u76f8\u5173\u7684\u4e34\u65f6\u4f5c\u4e1a\u96c6\u7fa4\uff0c\u5373\u4f5c\u4e1a\u96c6\u7fa4\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u4e92\u52a8\u96c6\u7fa4\u4f1a\u5728\u4e8b\u5148\u521b\u5efa\uff0c\u5728\u4f5c\u4e1a\u8303\u56f4\u4e4b\u5916\u5171\u4eab\u8d44\u6e90\u3002<\/p>\n
                # this ephemeral cluster can be shared among tasks<\/span>\r\n# stack as many job_cluster blocks as you need<\/span>\r\n job_cluster<\/span> {<\/span>\r\n   new_cluster<\/span> {<\/span>\r\n     spark_version<\/span> =<\/span> \"10.4.x-scala2.12\"<\/span>\r\n     spark_env_vars<\/span> =<\/span> {<\/span>\r\n       PYSPARK_PYTHON<\/span> =<\/span> \"\/databricks\/python3\/bin\/python3\"<\/span>\r\n     }<\/span>\r\n     num_workers<\/span>        =<\/span> 8<\/span>\r\n     data_security_mode<\/span> =<\/span> \"NONE\"<\/span>\r\n     aws_attributes<\/span> {<\/span>\r\n       zone_id<\/span>                =<\/span> \"us-west-2a\"<\/span>\r\n       spot_bid_price_percent<\/span> =<\/span> 100<\/span>\r\n       first_on_demand<\/span>        =<\/span> 1<\/span>\r\n       availability<\/span>           =<\/span> \"SPOT_WITH_FALLBACK\"<\/span>\r\n     }<\/span>\r\n   }<\/span>\r\n   job_cluster_key<\/span> =<\/span> \"Shared_job_cluster\"<\/span>\r\n }<\/span>\r\n<\/code><\/pre>\n
                \u8ba9\u6211\u4eec\u6765\u521b\u5efa\u4e00\u4e2a\u4efb\u52a1\u5757\u3002\u8fd9\u4e2a\u4efb\u52a1\u5757\u8981\u4f7f\u7528\u5de5\u4f5c\u533a\u7684\u7b14\u8bb0\u672c\u548c\u4e4b\u524d\u5b9a\u4e49\u7684\u5171\u4eab\u4f5c\u4e1a\u96c6\u7fa4\u3002\u8bf7\u6ce8\u610f\u5982\u4f55\u4f7f\u7528base_parameters\u6765\u63d0\u4f9b\u4efb\u52a1\u7684\u8f93\u5165\u53c2\u6570\u3002<\/p>\n
                task<\/span> {<\/span>\r\n   task_key<\/span> =<\/span> \"name_of_my_first_task\"<\/span> # this task depends on nothing<\/span>\r\n\r\n   notebook_task<\/span> {<\/span>\r\n     notebook_path<\/span> =<\/span> \"path\/to\/notebook\/in\/Databricks\/Workspace\"<\/span> # workspace notebook<\/span>\r\n   }<\/span>\r\n\r\n   job_cluster_key<\/span> =<\/span> \"Shared_job_cluster\"<\/span> # use ephemeral cluster created above<\/span>\r\n\r\n   # input parameters passed into the task<\/span>\r\n   base_parameters<\/span> =<\/span> {<\/span>\r\n       my_bool<\/span>   =<\/span> \"True\"<\/span>\r\n       my_number<\/span> =<\/span> \"1\"<\/span>\r\n       my_text<\/span>   =<\/span> \"hello\"<\/span>\r\n     }<\/span>\r\n\r\n   # notifications at task level<\/span>\r\n   email_notifications<\/span> {<\/span>\r\n     on_success<\/span> =<\/span> [<\/span>\"111@abc.com\"<\/span>,<\/span> \"222@abc.com\"<\/span>]<\/span>\r\n     on_start<\/span>   =<\/span> [<\/span>\"222@abc.com\"<\/span>]<\/span>\r\n     on_failure<\/span> =<\/span> [<\/span>\"my_distribution_list@abc.com\"<\/span>]<\/span>\r\n   }<\/span>\r\n }<\/span>\r\n<\/code><\/pre>\n
                \u8fd9\u662f\u4e00\u4e2a\u6307\u5411(Job\u5bb9\u5668\u5b9a\u4e49\u7684)\u8fdc\u7a0bgit\u5b58\u50a8\u5e93\u7684\u4efb\u52a1\u3002\u5173\u4e8e\u8ba1\u7b97\u8d44\u6e90\uff0c\u6b64\u4efb\u52a1\u5c06\u4f7f\u7528\u4ea4\u4e92\u5f0f\u96c6\u7fa4\u3002\u8bf7\u6ce8\u610fpip\u5e93\u7684\u4f7f\u7528\u65b9\u6cd5\u4ee5\u53ca\u8d85\u65f6\u548c\u91cd\u8bd5\u8bbe\u7f6e\u3002<\/p>\n
                task<\/span> {<\/span>\r\n   task_key<\/span> =<\/span> \"name_of_my_git_task\"<\/span> # reference git repo code<\/span>\r\n\r\n   notebook_task<\/span> {<\/span>\r\n     notebook_path<\/span> =<\/span> \"nb-1.py\"<\/span> # relative to git root<\/span>\r\n   }<\/span>\r\n\r\n   existing_cluster_id<\/span> =<\/span> \"id_of_my_interactive_cluster\"<\/span> # use a pre existing cluster<\/span>\r\n\r\n   # you can stack multiple depends_on blocks<\/span>\r\n   depends_on<\/span> {<\/span>\r\n     task_key<\/span> =<\/span> \"name_of_my_first_task\"<\/span>\r\n   }<\/span>\r\n\r\n   # libraries needed<\/span>\r\n   library<\/span> {<\/span>\r\n     pypi<\/span> {<\/span>\r\n       package<\/span> =<\/span> \"faker\"<\/span>\r\n     }<\/span>\r\n   }<\/span>\r\n\r\n   # timeout and retries<\/span>\r\n   timeout_seconds<\/span> =<\/span> 1000<\/span>\r\n   min_retry_interval_millis<\/span> =<\/span> 900000<\/span>\r\n   max_retries<\/span> =<\/span> 1<\/span>\r\n }<\/span>\r\n<\/code><\/pre>\n
                \u6700\u540e\uff0c\u8fd9\u662f\u4f7f\u7528Delta Live Tables\u7ba1\u9053\u7684\u4efb\u52a1\u5757\u3002\u9700\u8981\u5355\u72ec\u521b\u5efa\u6b64\u7ba1\u9053\u3002<\/p>\n
                task<\/span> {<\/span>\r\n   task_key<\/span> =<\/span> \"dlt-pipeline-task\"<\/span>\r\n  \r\n   pipeline_task<\/span> {<\/span>\r\n     pipeline_id<\/span> =<\/span> \"id_of_my_dlt_pipeline\"<\/span>\r\n   }<\/span>\r\n  \r\n   # depends on multiple tasks<\/span>\r\n   depends_on<\/span> {<\/span>\r\n     task_key<\/span> =<\/span> \"name_of_my_first_task\"<\/span>\r\n   }<\/span>\r\n   depends_on<\/span> {<\/span>\r\n     task_key<\/span> =<\/span> \"name_of_my_git_task\"<\/span>\r\n   }<\/span>\r\n }<\/span>\r\n<\/code><\/pre>\n
                \u4efb\u52a1\u7c7b\u578b\uff0c\u96c6\u7fa4\u7c7b\u578b\u548c\u5176\u4ed6\u5c5e\u6027\u7684\u987a\u5e8f\u548c\u7ec4\u5408\u662f\u65e0\u9650\u7684\u3002\u4f46\u662f\uff0c\u5e0c\u671b\u4e0a\u8ff0\u6a21\u5f0f\u80fd\u591f\u5e2e\u52a9\u4f60\u5408\u7406\u6784\u5efa\u590d\u6742\u7684\u591a\u4efb\u52a1\u4f5c\u4e1a\/\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5229\u7528\u8fd9\u4e9b\u6784\u5efa\u6a21\u5757\u3002\u4e00\u65e6\u7f16\u5199\u4e86Terraform\u4ee3\u7801\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u64cd\u4f5c\u8d44\u6e90\u3002<\/p>\n
                \n
                \u30b3\u30de\u30f3\u30c9\u8aac\u660eterraform init\u4ed6\u306e\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u306b\u4f5c\u696d\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u6e96\u5099\u3057\u307e\u3059\u3002terraform validate\u8a2d\u5b9a\u304c\u59a5\u5f53\u304b\u3069\u3046\u304b\u3092\u30c1\u30a7\u30c3\u30af\u3057\u307e\u3059\u3002terraform plan\u73fe\u5728\u306e\u8a2d\u5b9a\u306b\u5fc5\u8981\u306a\u5909\u66f4\u70b9\u3092\u8868\u793a\u3057\u307e\u3059\u3002terraform apply\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u3092\u4f5c\u6210\u3001\u66f4\u65b0\u3057\u307e\u3059\u3002terraform destroy\u4ee5\u524d\u4f5c\u6210\u3057\u305f\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u3092\u7834\u58ca\u3057\u307e\u3059\u3002<\/div>\n<\/div>\n
                \u603b\u7ed3<\/h1>\n
                Terraform\u662f\u4e00\u79cd\u5f3a\u5927\u7684\u57fa\u7840\u8bbe\u65bd\u5373\u4ee3\u7801\u5de5\u5177\uff0c\u53ef\u7528\u4e8e\u5728Databricks\u4e0a\u90e8\u7f72\u8d44\u6e90\u3002\u901a\u8fc7\u8fde\u63a5\u5927\u91cf\u8d44\u6e90\u6765\u6784\u5efa\u591a\u4efb\u52a1\u5de5\u4f5c\u6d41\uff0c\u4e3a\u56e2\u961f\u63d0\u4f9b\u4e86\u5728\u521b\u5efa\u4f5c\u4e1a\u3001\u4efb\u52a1\u548c\u7fa4\u96c6\u7684\u6a21\u5757\u5316\u6a21\u677f\u65f6\u975e\u5e38\u7075\u6d3b\u7684\u80fd\u529b\u3002\u8fd9\u4e9b\u6a21\u677f\u53ef\u8fdb\u884c\u7248\u672c\u7ba1\u7406\u3001\u5171\u4eab\u548c\u91cd\u590d\u4f7f\u7528\uff0c\u53ef\u4ee5\u5feb\u901f\u5728\u4f01\u4e1a\u5185\u90e8\u90e8\u7f72\u8fd9\u4e9b\u6a21\u677f\u3002\u5982\u4e0a\u6587\u6240\u8ff0\uff0c\u4e60\u60ef\u4e8e\u4f7f\u7528Terraform\u7684\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u8f7b\u677e\u5730\u4ece\u5934\u5f00\u59cb\u521b\u5efa\u5de5\u4f5c\u6d41\uff0c\u4f46\u6570\u636e\u5de5\u7a0b\u5e08\u548c\u6570\u636e\u79d1\u5b66\u5bb6\u53ef\u80fd\u4ecd\u7136\u66f4\u559c\u6b22\u5728\u7528\u6237\u754c\u9762\u4e0a\u521b\u5efa\u5de5\u4f5c\u6d41\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0cTerraform\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u7ee7\u627f\u5df2\u521b\u5efa\u7684\u5de5\u4f5c\u6d41\u3002\u90a3\u4e48\u7ee7\u627f\u7684\u5de5\u4f5c\u6d41\u662f\u4ec0\u4e48\u6837\u7684\uff1f\u5b83\u53ef\u4ee5\u8fdb\u4e00\u6b65\u88ab\u91cd\u590d\u4f7f\u7528\u548c\u6f14\u5316\u5417\uff1f\u5728\u672c\u7cfb\u5217\u6587\u7ae0\u7684\u4e0b\u4e00\u7bc7\u4e2d\u8ba8\u8bba\u8fd9\u4e9b\u60c5\u666f\u3002<\/p>\n
                \u5f00\u59cb\u4f7f\u7528<\/h1>\n
                \u5b66\u4e60\u4f7f\u7528Terraform
                \nDatabricks Terraform\u63d0\u4f9b\u7a0b\u5e8f<\/p>\n
                Databricks\u514d\u8d39\u8bd5\u7528<\/h3>\n
                DataBricks \u514d\u8d39\u8bd5\u7528<\/p>\n","protected":false},"excerpt":{"rendered":"
                \u901a\u8fc7Terraform\u5b9e\u73b0Databricks\u5de5\u4f5c\u6d41\u7a0b – Databricks\u535a\u5ba2\u7684\u7ffb\u8bd1\u3002 \u8be5\u4e66 […]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-49233","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n\u901a\u8fc7Terraform\u5b9e\u73b0\u7684Databricks\u5de5\u4f5c\u6d41 - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/\u901a\u8fc7terraform\u5b9e\u73b0\u7684databricks\u5de5\u4f5c\u6d41\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u901a\u8fc7Terraform\u5b9e\u73b0\u7684Databricks\u5de5\u4f5c\u6d41\" \/>\n<meta property=\"og:description\" content=\"\u901a\u8fc7Terraform\u5b9e\u73b0Databricks\u5de5\u4f5c\u6d41\u7a0b – Databricks\u535a\u5ba2\u7684\u7ffb\u8bd1\u3002 \u8be5\u4e66 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u901a\u8fc7terraform\u5b9e\u73b0\u7684databricks\u5de5\u4f5c\u6d41\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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