{"id":50605,"date":"2023-07-13T04:59:56","date_gmt":"2022-11-08T16:03:57","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%9c%a8databricks%e4%b8%ad%e7%9a%84%e6%95%b0%e6%8d%ae%e5%ba%93%e5%92%8c%e8%a1%a8\/"},"modified":"2024-04-30T13:19:16","modified_gmt":"2024-04-30T05:19:16","slug":"%e5%9c%a8databricks%e4%b8%ad%e7%9a%84%e6%95%b0%e6%8d%ae%e5%ba%93%e5%92%8c%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%9c%a8databricks%e4%b8%ad%e7%9a%84%e6%95%b0%e6%8d%ae%e5%ba%93%e5%92%8c%e8%a1%a8\/","title":{"rendered":"\u5728Databricks\u4e2d\u7684\u6570\u636e\u5e93\u548c\u8868"},"content":{"rendered":"

\u6570\u636e\u5e93\u548c\u8868\u683c | Databricks\u5728AWS\u4e0a [2021\/3\/22\u65f6\u95f4\u70b9] \u7684\u8bd1\u6587\u3002<\/p>\n

\u6ce8\u610f\uff01\u4ee5\u4e0b\u5167\u5bb9\u70ba\u820a\u8cc7\u8a0a\u3002\u8acb\u53c3\u95b1Databricks Lakehouse\u4e2d\u7684\u6578\u64da\u5c0d\u8c61\u3002<\/div>\n

Databricks\u7684\u6570\u636e\u5e93\u662f\u4e00\u4e2a\u8868\u7684\u96c6\u5408\u3002Databricks\u7684\u8868\u662f\u7ed3\u6784\u5316\u6570\u636e\u7684\u96c6\u5408\u3002\u5bf9\u4e8eDatabricks\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528Apache Spark\u7684DataFrame\u6267\u884c\u6240\u6709\u652f\u6301\u7684\u64cd\u4f5c\u3001\u8fc7\u6ee4\u548c\u7f13\u5b58\u3002\u53ef\u4ee5\u4f7f\u7528Spark API\u548cSpark SQL\u67e5\u8be2\u8868\u3002<\/p>\n

\u5728\u8868\u683c\u4e2d\u6709\u4e24\u79cd\u7c7b\u578b\uff1a\u5168\u5c40\u8868\u548c\u672c\u5730\u8868\u3002\u5168\u5c40\u8868\u53ef\u4ee5\u4ece\u6240\u6709\u7684\u96c6\u7fa4\u8fdb\u884c\u8bbf\u95ee\u3002Databricks\u4f1a\u5c06\u5168\u5c40\u8868\u6ce8\u518c\u5230Databricks\u7684Hive\u5143\u5b58\u50a8\u6216\u5916\u90e8\u7684Hive\u5143\u5b58\u50a8\u4e2d\u3002\u6709\u5173Hive\u652f\u6301\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u8bf7\u53c2\u9605Apache Hive\u517c\u5bb9\u6027\u3002\u672c\u5730\u8868\u4e0d\u4f1a\u6ce8\u518c\u5230Hive\u5143\u5b58\u50a8\u4e2d\uff0c\u5176\u4ed6\u96c6\u7fa4\u65e0\u6cd5\u8bbf\u95ee\u3002\u8fd9\u4e5f\u88ab\u79f0\u4e3a\u4e34\u65f6\u89c6\u56fe\u3002<\/p>\n

\u60a8\u53ef\u4ee5\u4f7f\u7528Create Table UI\u6216\u7a0b\u5e8f\u6765\u521b\u5efa\u8868\u683c\u3002\u60a8\u53ef\u4ee5\u4eceDBFS\u4e0a\u7684\u6587\u4ef6\u6216\u652f\u6301\u7684\u6570\u636e\u683c\u5f0f\uff08\u82f1\u8bed\uff09\u4e2d\u5c06\u6570\u636e\u5bfc\u5165\u5230\u8868\u683c\u4e2d\u3002<\/p>\n

\u91cd\u8981\u7684\u4e8b\u9879<\/h1>\n

\u9700\u8981\u542f\u52a8\u4e00\u4e2a\u96c6\u7fa4\u624d\u80fd\u521b\u5efa\u548c\u67e5\u8be2\u6570\u636e\u5e93\u548c\u8868\u3002<\/p>\n

\u6570\u636e\u5e93\u548c\u8868\u7684\u67e5\u8be2<\/h1>\n
\"\"<\/div>\n

\u5728Databases\u83dc\u5355\u4e2d\uff0c\u60a8\u53ef\u4ee5\u66f4\u6539\u96c6\u7fa4\uff0c\u4f8b\u5982\u5728Create Table UI\u548cView Table UI\u4e0a\u3002<\/p>\n

\"\"<\/div>\n

\u521b\u5efa\u6570\u636e\u5e93<\/h1>\n

\u8981\u5728SQL\u4e2d\u5275\u5efa\u8cc7\u6599\u5eab\uff0c\u9700\u6309\u4ee5\u4e0b\u6b65\u9a5f\u9032\u884c\uff1a<\/p>\n

\u6570\u636e\u5e93<\/p>\n

CREATE<\/span> DATABASE<\/span> <<\/span>database<\/span>-<\/span>name<\/span>><\/span> ...<\/span>\r\n<\/code><\/pre>\n
\u8bf7\u770b\u4e0b\u9762\u6709\u5173\u5176\u4ed6\u9009\u62e9\u7684\u5185\u5bb9\u3002<\/p>\n
    \n
  • \n
      Databricks\u30e9\u30f3\u30bf\u30a4\u30e0 7.x\u4ee5\u4e0a: CREATE DATABASE(\u82f1\u8a9e)<\/ul>\n<\/li>\n<\/ul>\n
      Databricks\u30e9\u30f3\u30bf\u30a4\u30e0 5.5 LTS\u30016.x: Create Database(\u82f1\u8a9e)<\/p>\n
      \u5efa\u7acb\u684c\u5b50<\/h1>\n
      \u60a8\u53ef\u4ee5\u4eceUI\u6216\u7a0b\u5e8f\u521b\u5efa\u8868\u683c\u3002<\/p>\n
      \u4f7f\u7528UI\u521b\u5efa\u8868\u683c<\/h2>\n
      \u6ce8\u610f
      \n\u5728\u521b\u5efaUI\u8868\u683c\u65f6\uff0c\u4ee5\u4e0b\u5185\u5bb9\u662f\u4e0d\u5141\u8bb8\u7684\u3002<\/p><\/blockquote>\n
      \u5728\u4f7f\u7528\u9ad8\u5e76\u53d1\u96c6\u7fa4\u8fdb\u884c\u6587\u4ef6\u4e0a\u4f20\u65f6\uff0c\u8bf7\u4f7f\u7528Databricks\u6587\u4ef6\u7cfb\u7edf\uff08DBFS\uff09\u5c06\u6570\u636e\u52a0\u8f7d\u5230Databricks\u3002
      \n\u5728\u66f4\u65b0\u8868\u65f6\uff0c\u8bf7\u901a\u8fc7\u7a0b\u5e8f\u521b\u5efa\u8868\u3002<\/p><\/blockquote>\n
      \u5982\u679c\u4eceUI\u521b\u5efa\u8868\u683c\uff0c\u5b83\u5c06\u6210\u4e3a\u5168\u5c40\u8868\u683c\u3002<\/p>\n
      \"\"<\/div>\n
      \u4f7f\u7528\u7b14\u8bb0\u672c\u521b\u5efa\u8868\u683c<\/h3>\n
      \u5728\u201c\u521b\u5efa\u65b0\u8868UI\u201d\u4e2d\uff0c\u60a8\u53ef\u4ee5\u5229\u7528Databricks\u7684\u5feb\u901f\u5165\u95e8\u7b14\u8bb0\u672c\uff0c\u8fde\u63a5\u5230\u5404\u79cd\u6570\u636e\u6e90\u3002<\/p>\n
        \n
      • \n
          S3: Create Table in Notebook\u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u30a2\u30bf\u30c3\u30c1\u3059\u308b\u30af\u30e9\u30b9\u30bf\u30fc\u304cS3\u30d0\u30b1\u30c3\u30c8\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/ul>\n<\/li>\n<\/ul>\n
           <\/p>\n
            \n
          • \n
              DBFS: Create Table in Notebook\u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002<\/ul>\n<\/li>\n<\/ul>\n
               <\/p>\n
                \u4ed6\u306e\u30c7\u30fc\u30bf\u30bd\u30fc\u30b9: Connector\u306e\u30c9\u30ed\u30c3\u30d7\u30c0\u30a6\u30f3\u304b\u3089\u30c7\u30fc\u30bf\u30bd\u30fc\u30b9\u30bf\u30a4\u30d7\u3092\u9078\u629e\u3057\u3001Create Table in Notebook\u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002<\/ul>\n
                \u7528\u7a0b\u5f0f\u4f86\u5efa\u7acb\u8868\u683c\u3002<\/h2>\n
                \u672c\u8282\u5c06\u63cf\u8ff0\u5982\u4f55\u5728\u7a0b\u5e8f\u4e2d\u521b\u5efa\u5168\u5c40\u8868\u548c\u5c40\u90e8\u8868\u3002<\/p>\n
                \u521b\u5efa\u5168\u5c40\u8868<\/h3>\n
                \u8981\u521b\u5efa\u5168\u5c40\u8868\uff0c\u8bf7\u6267\u884c\u4ee5\u4e0bSQL\u8bed\u53e5\u3002<\/p>\n
                Structured Query Language (SQL) \u53ef\u4ee5\u7b80\u5316\u6570\u636e\u5e93\u7ba1\u7406\u548c\u64cd\u4f5c\u3002<\/p>\n
                CREATE<\/span> TABLE<\/span> <<\/span>table<\/span>-<\/span>name<\/span>><\/span> ...<\/span>\r\n<\/code><\/pre>\n
                \u8bf7\u53c2\u8003Databricks\u8fd0\u884c\u65f65.5 LTS\u548cDatabricks\u8fd0\u884c\u65f66.4\u4e2d\u7684Create Table\uff08\u82f1\u6587\uff09\u5bf9\u4e8e\u5176\u4ed6\u9009\u9879\uff0c\u8bf7\u53c2\u8003Databricks\u8fd0\u884c\u65f67.1\u4ee5\u53ca\u66f4\u9ad8\u7248\u672c\u4e2d\u7684CREATE TABLE\uff08\u82f1\u6587\uff09\u3002<\/p>\n
                \u8981\u5728Python\u6216Scala\u4e2d\u4ece\u6570\u636e\u6846\u521b\u5efa\u5168\u5c40\u8868\uff0c\u8bf7\u6267\u884c\u4ee5\u4e0b\u64cd\u4f5c\u3002<\/p>\n
                Python
                \n\u4e2d\u56fd\u7684’\u87d2\u86c7’<\/p>\n
                dataFrame<\/span>.<\/span>write<\/span>.<\/span>saveAsTable<\/span>(<\/span>\"<\/span><table-name><\/span>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                \u521b\u5efa\u672c\u5730\u8868<\/h3>\n
                \u8981\u901a\u8fc7Python\u6216Scala\u4ece\u6570\u636e\u6846\u521b\u5efa\u672c\u5730\u8868\uff0c\u8bf7\u6267\u884c\u4ee5\u4e0b\u64cd\u4f5c\u3002<\/p>\n
                Python\u53ef\u4ee5\u4ee5\u7b80\u6d01\u3001\u6613\u8bfb\u7684\u65b9\u5f0f\u7f16\u5199\u4ee3\u7801\uff0c\u662f\u4e00\u79cd\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\u3002<\/p>\n
                dataFrame<\/span>.<\/span>createOrReplaceTempView<\/span>(<\/span>\"<\/span><table-name><\/span>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                \u4ee5\u4e0b\u662f\u4eceDatabricks\u6587\u4ef6\u7cfb\u7edf\uff08DBFS\uff09\u4e0a\u7684\u6587\u4ef6\u521b\u5efa\u4e00\u4e2a\u540d\u4e3adiamonds\u7684\u672c\u5730\u8868\u7684\u793a\u4f8b\u3002<\/p>\n
                Python –
                \nPython\uff08\u5b9a\u4e49\uff1a\u4e00\u79cd\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\uff09<\/p>\n
                dataFrame<\/span> =<\/span> \"<\/span>\/databricks-datasets\/Rdatasets\/data-001\/csv\/ggplot2\/diamonds.csv<\/span>\"<\/span>\r\nspark<\/span>.<\/span>read<\/span>.<\/span>format<\/span>(<\/span>\"<\/span>csv<\/span>\"<\/span>).<\/span>option<\/span>(<\/span>\"<\/span>header<\/span>\"<\/span>,<\/span>\"<\/span>true<\/span>\"<\/span>)<\/span>\\\r\n  .<\/span>option<\/span>(<\/span>\"<\/span>inferSchema<\/span>\"<\/span>,<\/span> \"<\/span>true<\/span>\"<\/span>).<\/span>load<\/span>(<\/span>dataFrame<\/span>)<\/span>\\\r\n  .<\/span>createOrReplaceTempView<\/span>(<\/span>\"<\/span>diamonds<\/span>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                \u5bf9\u4e8e\u684c\u5b50\u7684\u8bbf\u95ee<\/h1>\n
                \u60a8\u53ef\u4ee5\u5bf9\u8868\u683c\u8fdb\u884c\u8be6\u7ec6\u53c2\u8003\u3001\u8bfb\u53d6\u3001\u66f4\u65b0\u548c\u5220\u9664\u64cd\u4f5c\u3002<\/p>\n
                \u67e5\u770b\u8868\u683c\u7684\u8be6\u7ec6\u4fe1\u606f<\/h2>\n
                \u60a8\u53ef\u4ee5\u5728\u8868\u683c\u8be6\u60c5\u4e2d\u67e5\u770b\u8868\u683c\u6a21\u5f0f\u548c\u793a\u4f8b\u6570\u636e\u3002<\/p>\n
                \"\"<\/div>\n
                \u6ce8\u610f\uff1a\u8981\u663e\u793a\u8868\u9884\u89c8\uff0c\u8bf7\u5728Cluster\u4e0b\u62c9\u83dc\u5355\u4e2d\u9009\u62e9\u7684\u96c6\u7fa4\u4e0a\u6267\u884cSpark SQL\u67e5\u8be2\u3002\u5982\u679c\u8be5\u96c6\u7fa4\u6b63\u5728\u6267\u884c\u5176\u4ed6\u64cd\u4f5c\uff0c\u5219\u53ef\u80fd\u9700\u8981\u4e00\u4e9b\u65f6\u95f4\u624d\u80fd\u663e\u793a\u9884\u89c8\u3002<\/p><\/blockquote>\n
                \u67e5\u8be2\u8868\u683c<\/h2>\n
                \u4ee5\u4e0b\u662f\u663e\u793adiamonds\u8868\u5185\u5bb9\u7684\u793a\u4f8b\uff0c\u5206\u522b\u7528\u5404\u79cd\u8bed\u8a00\u7f16\u5199\u3002<\/p>\n
                SQL (Structured Query Language) is a standardized programming language that is used for managing and manipulating databases.<\/p>\n
                SELECT<\/span> *<\/span> FROM<\/span> diamonds<\/span>\r\n<\/code><\/pre>\n
                Python – Python<\/p>\n
                diamonds<\/span> =<\/span> spark<\/span>.<\/span>sql<\/span>(<\/span>\"<\/span>select * from diamonds<\/span>\"<\/span>)<\/span>\r\ndisplay<\/span>(<\/span>diamonds<\/span>.<\/span>select<\/span>(<\/span>\"<\/span>*<\/span>\"<\/span>))<\/span>\r\n\r\ndiamonds<\/span> =<\/span> spark<\/span>.<\/span>table<\/span>(<\/span>\"<\/span>diamonds<\/span>\"<\/span>)<\/span>\r\ndisplay<\/span>(<\/span>diamonds<\/span>.<\/span>select<\/span>(<\/span>\"<\/span>*<\/span>\"<\/span>))<\/span>\r\n<\/code><\/pre>\n
                \u5bf9\u4e8eR*\uff0c\u8bf7\u7528\u4e2d\u6587\u8fdb\u884c\u91ca\u4e49<\/p>\n
                diamonds<\/span> <-<\/span> sql<\/span>(<\/span>sqlContext<\/span>,<\/span> \"select * from diamonds\"<\/span>)<\/span>\r\ndisplay<\/span>(<\/span>diamonds<\/span>)<\/span>\r\n\r\ndiamonds<\/span> <-<\/span> table<\/span>(<\/span>sqlContext<\/span>,<\/span> \"diamonds\"<\/span>)<\/span>\r\ndisplay<\/span>(<\/span>diamonds<\/span>)<\/span>\r\n<\/code><\/pre>\n
                Scala: Scala\u662f\u4e00\u79cd\u9762\u5411\u5bf9\u8c61\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u7ed3\u5408\u4e86\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\u548c\u51fd\u6570\u5f0f\u7f16\u7a0b\u7684\u7279\u6027\u3002<\/p>\n
                val<\/span> diamonds<\/span> =<\/span> spark<\/span>.<\/span>sql<\/span>(<\/span>\"select * from diamonds\"<\/span>)<\/span>\r\ndisplay<\/span>(<\/span>diamonds<\/span>.<\/span>select<\/span>(<\/span>\"*\"<\/span>))<\/span>\r\n\r\nval<\/span> diamonds<\/span> =<\/span> spark<\/span>.<\/span>table<\/span>(<\/span>\"diamonds\"<\/span>)<\/span>\r\ndisplay<\/span>(<\/span>diamonds<\/span>.<\/span>select<\/span>(<\/span>\"*\"<\/span>))<\/span>\r\n<\/code><\/pre>\n
                \u66f4\u65b0\u684c\u5b50<\/h1>\n
                \u8868\u683c\u6a21\u5f0f\u662f\u4e0d\u53ef\u53d8\u7684\u3002\u7136\u800c\uff0c\u901a\u8fc7\u66f4\u6539\u540e\u7aef\u6587\u4ef6\u53ef\u4ee5\u66f4\u65b0\u8868\u683c\u3002<\/p>\n
                \u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7\u5728S3\u76ee\u5f55\u4e2d\u6dfb\u52a0\u6216\u5220\u9664\u6587\u4ef6\u6765\u66f4\u65b0\u7531\u8be5\u76ee\u5f55\u521b\u5efa\u7684\u8868\u7684\u5185\u5bb9\u3002<\/p>\n
                \u66f4\u65b0\u5b8c\u540e\u7aef\u6587\u4ef6\u540e\uff0c\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5237\u65b0\u8868\u683c\u3002<\/p>\n
                SQL
                \n\u7ed3\u6784\u5316\u67e5\u8be2\u8bed\u8a00 (Structured Query Language)<\/p>\n
                REFRESH<\/span> TABLE<\/span> <<\/span>table<\/span>-<\/span>name<\/span>><\/span>\r\n<\/code><\/pre>\n
                \u901a\u8fc7\u8fd9\u6837\u505a\uff0c\u5373\u4f7f\u5728\u540e\u7aef\u6587\u4ef6\u4e2d\u6709\u66f4\u65b0\uff0cSpark SQL\u5728\u8bbf\u95ee\u8868\u65f6\u4e5f\u80fd\u591f\u6b63\u786e\u5730\u8bfb\u53d6\u5185\u5bb9\u3002<\/p>\n
                \u5220\u9664\u8868<\/h1>\n
                \u4f7f\u7528UI\u5220\u9664\u8868\u683c<\/h2>\n
                \"\"<\/div>\n
                \u5229\u7528\u7a0b\u5e8f\u5220\u9664\u8868<\/h2>\n
                SQL<\/p>\n
                SQL (Structured Query Language) \u662f\u7528\u4e8e\u7ba1\u7406\u548c\u64cd\u4f5c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u7684\u6807\u51c6\u8ba1\u7b97\u673a\u8bed\u8a00\u3002<\/p>\n
                DROP<\/span> TABLE<\/span> <<\/span>table<\/span>-<\/span>name<\/span>><\/span>\r\n<\/code><\/pre>\n
                \u6258\u7ba1\u8868\uff0c\u975e\u6258\u7ba1\u8868<\/h1>\n
                \u6240\u6709\u7684Spark SQL\u8868\u90fd\u5305\u542b\u5b58\u50a8\u6a21\u5f0f\u548c\u6570\u636e\u672c\u8eab\u7684\u5143\u6570\u636e\u4fe1\u606f\u3002<\/p>\n
                \u6258\u7ba1\u8868\u662f\u7531Spark SQL\u7ba1\u7406\u5143\u6570\u636e\u548c\u6570\u636e\u7684Spark SQL\u8868\u3002\u5bf9\u4e8e\u6258\u7ba1\u8868\uff0cDatabricks\u5c06\u5143\u6570\u636e\u548c\u6570\u636e\u5b58\u50a8\u5728\u60a8\u7684DBFS\u5e10\u6237\u4e2d\u3002\u7531\u4e8eSpark SQL\u7ba1\u7406\u8868\uff0cDROP TABLE example_data\u5c06\u5220\u9664\u5143\u6570\u636e\u548c\u6570\u636e\u3002<\/p>\n
                \u521b\u5efa\u53d7\u7ba1\u7406\u7684\u8868\u7684\u4e00\u822c\u65b9\u6cd5\u5982\u4e0b\u6240\u793a\u3002<\/p>\n
                SQL is a language commonly used for managing and manipulating databases.<\/p>\n
                CREATE<\/span> TABLE<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span>(<\/span>id<\/span> STRING<\/span>,<\/span> value<\/span> STRING<\/span>)<\/span>\r\n<\/code><\/pre>\n
                Python: Python<\/p>\n
                dataframe<\/span>.<\/span>write<\/span>.<\/span>saveAsTable<\/span>(<\/span>\"<\/span><example-table><\/span>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                \u53e6\u4e00\u79cd\u9009\u62e9\u662f\u8ba9Spark SQL\u7ba1\u7406\u5143\u6570\u636e\uff0c\u5e76\u4e14\u60a8\u63a7\u5236\u6570\u636e\u7684\u4f4d\u7f6e\u3002\u6211\u4eec\u79f0\u4e4b\u4e3a\u975e\u6258\u7ba1\u8868\u3002\u7531\u4e8eSpark SQL\u7ba1\u7406\u5143\u6570\u636e\uff0c\u56e0\u6b64\u5f53\u6267\u884cDROP TABLE example_data\u65f6\uff0cSpark\u4ec5\u5220\u9664\u5143\u6570\u636e\uff0c\u800c\u4e0d\u5220\u9664\u5b9e\u9645\u6570\u636e\u3002\u56e0\u6b64\uff0c\u6570\u636e\u5c06\u7ee7\u7eed\u4fdd\u7559\u5728\u60a8\u6307\u5b9a\u7684\u4f4d\u7f6e\u3002<\/p>\n
                \u53ef\u4ee5\u4ece\u6570\u636e\u6e90\uff08\u5982Cassandra\u548cJDBC\u8868\uff09\u4e2d\u7684\u6570\u636e\u521b\u5efa\u975e\u6258\u7ba1\u8868\u3002\u6709\u5173\u5728Databricks\u4e2d\u652f\u6301\u7684\u6570\u636e\u7c7b\u578b\uff0c\u8bf7\u53c2\u9605\u6570\u636e\u6e90\uff08\u82f1\u8bed\uff09\u3002\u4e0b\u9762\u662f\u521b\u5efa\u975e\u6258\u7ba1\u8868\u7684\u5e38\u89c1\u65b9\u6cd5\u3002<\/p>\n
                SQL is a programming language used for managing relational databases, performing data manipulation and retrieval, creating and modifying database structures, and enforcing data integrity.<\/p>\n
                CREATE<\/span> TABLE<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span>(<\/span>id<\/span> STRING<\/span>,<\/span> value<\/span> STRING<\/span>)<\/span> USING<\/span> org<\/span>.<\/span>apache<\/span>.<\/span>spark<\/span>.<\/span>sql<\/span>.<\/span>parquet<\/span> OPTIONS<\/span> (<\/span>PATH<\/span> \"<your-storage-path>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                Python – \u4e00\u79cd\u7f16\u7a0b\u8bed\u8a00<\/p>\n
                dataframe<\/span>.<\/span>write<\/span>.<\/span>option<\/span>(<\/span>'<\/span>path<\/span>'<\/span>,<\/span> \"<\/span><your-storage-path><\/span>\"<\/span>).<\/span>saveAsTable<\/span>(<\/span>\"<\/span><example-table><\/span>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                \u66ff\u6362\u8868\u683c\u5185\u5bb9<\/h2>\n
                \u5728\u66ff\u6362\u8868\u683c\u5185\u5bb9\u7684\u65b9\u6cd5\u4e2d\uff0c\u6709\u4e24\u79cd\u9009\u62e9\u3002\u4e00\u79cd\u662f\u7b80\u5355\u7684\u65b9\u6cd5\uff0c\u53e6\u4e00\u79cd\u662f\u63a8\u8350\u7684\u65b9\u6cd5\u3002<\/p>\n
                \u66ff\u6362\u8868\u683c\u5185\u5bb9\u7684\u7b80\u5355\u65b9\u6cd5<\/h3>\n
                \u66ff\u6362\u8868\u5185\u5bb9\u7684\u7b80\u5355\u65b9\u6cd5\u662f\u5220\u9664\u8868\u7684\u5143\u6570\u636e\u548c\u6570\u636e\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u8868\u3002<\/p>\n
                \u6258\u7ba1\u8868<\/h4>\n
                SQL SQL\u662f\u4e00\u79cd\u7528\u4e8e\u7ba1\u7406\u548c\u64cd\u4f5c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u7684\u8bed\u8a00\u3002<\/p>\n
                DROP<\/span> TABLE<\/span> IF<\/span> EXISTS<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span>     \/\/<\/span> deletes<\/span> the<\/span> metadata<\/span> and<\/span> data<\/span>\r\nCREATE<\/span> TABLE<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span> AS<\/span> SELECT<\/span> ...<\/span>\r\n<\/code><\/pre>\n
                \u672a\u7ba1\u7406\u7684\u8868\u683c<\/h4>\n
                SQL\uff08Structured Query Language\uff09\u7684\u4e2d\u6587\u91ca\u4e49\u662f\u7ed3\u6784\u5316\u67e5\u8be2\u8bed\u8a00\u3002<\/p>\n
                DROP<\/span> TABLE<\/span> IF<\/span> EXISTS<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span>    \/\/<\/span> deletes<\/span> the<\/span> metadata<\/span>\r\n<\/code><\/pre>\n
                Python – \u7f16\u7a0b\u8bed\u8a00<\/p>\n
                dbutils<\/span>.<\/span>fs<\/span>.<\/span>rm<\/span>(<\/span>\"<\/span><your-s3-path><\/span>\"<\/span>,<\/span> true<\/span>)<\/span>   \/\/<\/span> deletes<\/span> the<\/span> data<\/span>\r\n<\/code><\/pre>\n
                SQL \u53ef\u4ee5\u88ab\u539f\u751f\u5730\u7528\u4e2d\u6587\u91cd\u8ff0\u4e3a\u7ed3\u6784\u5316\u67e5\u8be2\u8bed\u8a00\u3002<\/p>\n
                CREATE<\/span> TABLE<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span> USING<\/span> org<\/span>.<\/span>apache<\/span>.<\/span>spark<\/span>.<\/span>sql<\/span>.<\/span>parquet<\/span> OPTIONS<\/span> (<\/span>PATH<\/span> \"<your-s3-path>\"<\/span>)<\/span> AS<\/span> SELECT<\/span> ...<\/span>\r\n<\/code><\/pre>\n
                \u8b66\u544a\uff01
                \n\u4e0a\u8ff0\u65b9\u6cd5\u662f\u5408\u7406\u7684\uff0c\u4f46\u5982\u679c\u6570\u636e\u5b58\u5728\u4e8eS3\u4e2d\uff0c\u5219\u5728\u5c1d\u8bd5\u5c06\u5220\u9664\u7684\u6570\u636e\u91cd\u65b0\u521b\u5efa\u5230\u76f8\u540c\u4f4d\u7f6e\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230S3 eventual consistency issues\u7684\u95ee\u9898\u3002\u5982\u679c\u60f3\u4e86\u89e3\u6709\u5173\u4e00\u81f4\u6027\u95ee\u9898\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u8bf7\u53c2\u9605\u535a\u5ba2\u6587\u7ae0\u300aS3mper:\u4e91\u4e2d\u7684\u4e00\u81f4\u6027\u300b\u3002<\/p><\/blockquote>\n
                \u4f5c\u4e3a\u66ff\u4ee3\u65b9\u6848\uff0c<\/p>\n
                  \n
                1. \n
                    \u4f7f\u7528SQL DLL\u521b\u5efa\u8868\u3002<\/ol>\n<\/li>\n<\/ol>\n
                     <\/p>\n
                      \n
                    1. \n
                        \u4f7f\u7528PARQUET LOCATION “”\u521b\u5efa\u8868 (id long, date string)\u3002<\/ol>\n<\/li>\n<\/ol>\n
                        \u5c06\u6570\u636e\u5b58\u50a8\u5230\u65b0\u7684\u4f4d\u7f6e\u3002<\/p>\n
                        \u6267\u884crefresh table \u3002<\/p>\n
                        \u66ff\u6362\u8868\u683c\u5185\u5bb9\u7684\u63a8\u8350\u65b9\u6cd5<\/h3>\n
                        \u4e3a\u4e86\u907f\u514d\u4e00\u81f4\u6027\u95ee\u9898\uff0c\u63a8\u8350\u7684\u65b9\u6cd5\u662f\u8986\u76d6\u8868\u683c\u6570\u636e\u3002<\/p>\n
                        Python – \u7b80\u5316\u7684\u7f16\u7a0b\u8bed\u8a00<\/p>\n
                        dataframe<\/span>.<\/span>write<\/span>.<\/span>mode<\/span>(<\/span>\"<\/span>overwrite<\/span>\"<\/span>).<\/span>saveAsTable<\/span>(<\/span>\"<\/span><example-table><\/span>\"<\/span>)<\/span> \/\/<\/span> Managed<\/span> Overwrite<\/span>\r\ndataframe<\/span>.<\/span>write<\/span>.<\/span>mode<\/span>(<\/span>\"<\/span>overwrite<\/span>\"<\/span>).<\/span>option<\/span>(<\/span>\"<\/span>path<\/span>\"<\/span>,<\/span>\"<\/span><your-s3-path><\/span>\"<\/span>).<\/span>saveAsTable<\/span>(<\/span>\"<\/span><example-table><\/span>\"<\/span>)<\/span>  \/\/<\/span> Unmanaged<\/span> Overwrite<\/span>\r\n<\/code><\/pre>\n
                        \u5173\u4e8eSQL\uff0c\u8bf7\u7528\u4e2d\u6587\u8fdb\u884c\u91ca\u4e49\u3002<\/p>\n
                        \u6211\u5011\u5c07\u6dfb\u52a0”INSERT OVERWRITE”\u3002\u9019\u7a2e\u65b9\u6cd5\u9069\u7528\u65bc\u7ba1\u7406\u8868\u548c\u975e\u7ba1\u7406\u8868\u3002\u4ee5\u4e0b\u793a\u4f8b\u9069\u7528\u65bc\u975e\u7ba1\u7406\u8868\u3002<\/p>\n
                        CREATE<\/span> TABLE<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span>(<\/span>id<\/span> STRING<\/span>,<\/span> value<\/span> STRING<\/span>)<\/span> USING<\/span> org<\/span>.<\/span>apache<\/span>.<\/span>spark<\/span>.<\/span>sql<\/span>.<\/span>parquet<\/span> OPTIONS<\/span> (<\/span>PATH<\/span> \"<your-s3-path>\"<\/span>)<\/span>\r\nINSERT<\/span> OVERWRITE<\/span> TABLE<\/span> <<\/span>example<\/span>-<\/span>table<\/span>><\/span> SELECT<\/span> ...<\/span>\r\n<\/code><\/pre>\n
                        Scala (\u65af\u5361\u62c9)<\/p>\n
                        dataframe<\/span>.<\/span>write<\/span>.<\/span>mode<\/span>(<\/span>SaveMode<\/span>.<\/span>Overwrite<\/span>).<\/span>saveAsTable<\/span>(<\/span>\"<example-table>\"<\/span>)<\/span>    \/\/ Managed Overwrite<\/span>\r\ndataframe<\/span>.<\/span>write<\/span>.<\/span>mode<\/span>(<\/span>SaveMode<\/span>.<\/span>Overwrite<\/span>).<\/span>option<\/span>(<\/span>\"path\"<\/span>,<\/span> \"<your-s3-path>\"<\/span>).<\/span>saveAsTable<\/span>(<\/span>\"<example-table>\"<\/span>)<\/span>  \/\/ Unmanaged Overwrite<\/span>\r\n<\/code><\/pre>\n
                        \u684c\u5b50\u7684\u5206\u9694\u677f<\/h1>\n
                        Spark SQL\u53ef\u4ee5\u5728\u6587\u4ef6\u5b58\u50a8\u7ea7\u522b\u52a8\u6001\u5730\u4e3a\u8868\u63d0\u4f9b\u5206\u533a\u5217\uff0c\u4ece\u800c\u521b\u5efa\u5206\u533a\u3002<\/p>\n
                        \u521b\u5efa\u5206\u533a\u8868<\/h2>\n
                        \u4ee5\u4e0b\u7684\u793a\u4f8b\u662f\u5bf9\u5199\u5165\u7684\u6570\u636e\u8fdb\u884c\u5206\u533a\u3002Spark SQL\u4f1a\u68c0\u6d4b\u5230\u5206\u533a\u5e76\u5c06\u5176\u6ce8\u518c\u5230Hive\u5143\u5b58\u50a8\u4e2d\u3002<\/p>\n
                        Scala \u53ef\u4ee5\u7528\u6765\u7f16\u5199\u57fa\u4e8eJava \u865a\u62df\u673a\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u73b0\u4ee3\u7f16\u7a0b\u8bed\u8a00\u3002<\/p>\n
                        \/\/ Create managed table as select<\/span>\r\ndataframe<\/span>.<\/span>write<\/span>.<\/span>mode<\/span>(<\/span>SaveMode<\/span>.<\/span>Overwrite<\/span>).<\/span>partitionBy<\/span>(<\/span>\"id\"<\/span>).<\/span>saveAsTable<\/span>(<\/span>\"<example-table>\"<\/span>)<\/span>\r\n\r\n\/\/ Create unmanaged\/external table as select<\/span>\r\ndataframe<\/span>.<\/span>write<\/span>.<\/span>mode<\/span>(<\/span>SaveMode<\/span>.<\/span>Overwrite<\/span>).<\/span>option<\/span>(<\/span>\"path\"<\/span>,<\/span> \"<file-path>\"<\/span>).<\/span>saveAsTable<\/span>(<\/span>\"<example-table>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                        \u7136\u800c\uff0c\u5728\u4f7f\u7528\u73b0\u6709\u6570\u636e\u521b\u5efa\u5206\u533a\u8868\u65f6\uff0cSpark SQL\u4e0d\u4f1a\u81ea\u52a8\u68c0\u6d4b\u5e76\u5411Hive\u5143\u5b58\u50a8\u4e2d\u6ce8\u518c\u5206\u533a\u3002\u56e0\u6b64\uff0c\u6267\u884cSELECT * FROM \u5c06\u4e0d\u4f1a\u8fd4\u56de\u7ed3\u679c\u3002\u8981\u6ce8\u518c\u5206\u533a\uff0c\u8bf7\u6267\u884c\u4ee5\u4e0b\u64cd\u4f5c\u6765\u521b\u5efa\u5206\u533a\uff1aMSCK REPAIR TABLE “”\u3002<\/p>\n
                        Scala (\u65af\u5361\u62c9)<\/p>\n
                        \/\/ Save data to external files<\/span>\r\ndataframe<\/span>.<\/span>write<\/span>.<\/span>mode<\/span>(<\/span>SaveMode<\/span>.<\/span>Overwrite<\/span>).<\/span>partitionBy<\/span>(<\/span>\"id\"<\/span>).<\/span>parquet<\/span>(<\/span>\"<file-path>\"<\/span>)<\/span>\r\n\r\n\/\/ Create unmanaged\/external table<\/span>\r\nspark<\/span>.<\/span>sql<\/span>(<\/span>\"CREATE TABLE <example-table>(id STRING, value STRING) USING parquet PARTITIONED BY(id) LOCATION \"<\/span><<\/span>file<\/span>-<\/span>path<\/span>><\/span>\"\"<\/span>)<\/span>\r\nspark<\/span>.<\/span>sql<\/span>(<\/span>\"MSCK REPAIR TABLE \"<\/span><<\/span>example<\/span>-<\/span>table<\/span>><\/span>\"\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
                        \u4fee\u526a\u5206\u533a\u7684\u679d\u6761<\/h2>\n
                        Spark\u5728\u626b\u63cf\u8868\u65f6\u4f1a\u63a8\u9001\u5e26\u6709partitionBy\u7684\u8fc7\u6ee4\u6761\u4ef6\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0cSpark\u4e0d\u4f1a\u8bfb\u53d6\u4e0e\u8fd9\u4e9b\u6761\u4ef6\u4e0d\u5339\u914d\u7684\u6570\u636e\u3002\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u6309\u5206\u533a\u7684\u8868\uff0c\u90a3\u4e48\u67e5\u8be2SELECT max(id) FROM WHERE date = ‘2010-10-10’\u53ea\u4f1a\u8bfb\u53d6\u7b26\u5408\u67e5\u8be2\u6761\u4ef6\u7684\u5177\u6709\u76f8\u5e94\u65e5\u671f\u7684\u6570\u636e\u6587\u4ef6\u3002<\/p>\n
                        \u684c\u5b50\u7684\u8bbf\u95ee\u63a7\u5236<\/h1>\n
                        \u901a\u8fc7\u8868\u683c\u8bbf\u95ee\u63a7\u5236\uff0c\u7ba1\u7406\u5458\u548c\u7528\u6237\u53ef\u4ee5\u5bf9\u5176\u4ed6\u7528\u6237\u8bbe\u7f6e\u7ec6\u7c92\u5ea6\u7684\u8bbf\u95ee\u6743\u9650\u3002\u66f4\u591a\u8be6\u7ec6\u4fe1\u606f\uff0c\u8bf7\u53c2\u8003Databricks\u4e2d\u7684\u6570\u636e\u5bf9\u8c61\u8bbf\u95ee\u6743\u9650\u7ba1\u7406\u3002<\/p>\n
                        Databricks \u63d0\u4f9b\u514d\u8d39\u8bd5\u7528\u7248<\/h3>\n
                        \u8cc7\u6599\u84cb\u57ce \u63d0\u4f9b \u514d\u8cbb\u8a66\u7528<\/p>\n","protected":false},"excerpt":{"rendered":"
                        \u6570\u636e\u5e93\u548c\u8868\u683c | Databricks\u5728AWS\u4e0a [2021\/3\/22\u65f6\u95f4\u70b9] \u7684\u8bd1\u6587\u3002 \u6ce8\u610f\uff01\u4ee5\u4e0b\u5167\u5bb9\u70ba\u820a\u8cc7 […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-50605","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n\u5728Databricks\u4e2d\u7684\u6570\u636e\u5e93\u548c\u8868 - 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\/\u5728databricks\u4e2d\u7684\u6570\u636e\u5e93\u548c\u8868\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5728Databricks\u4e2d\u7684\u6570\u636e\u5e93\u548c\u8868\" \/>\n<meta property=\"og:description\" content=\"\u6570\u636e\u5e93\u548c\u8868\u683c | Databricks\u5728AWS\u4e0a [2021\/3\/22\u65f6\u95f4\u70b9] \u7684\u8bd1\u6587\u3002 \u6ce8\u610f\uff01\u4ee5\u4e0b\u5167\u5bb9\u70ba\u820a\u8cc7 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u5728databricks\u4e2d\u7684\u6570\u636e\u5e93\u548c\u8868\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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