{"id":11844,"date":"2022-10-02T10:20:50","date_gmt":"2022-10-02T01:20:50","guid":{"rendered":"https:\/\/prodskill.com\/?p=11844"},"modified":"2022-10-04T23:51:45","modified_gmt":"2022-10-04T14:51:45","slug":"oracle-dbms-parallel-execute-1-overview","status":"publish","type":"post","link":"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-1-overview\/","title":{"rendered":"1. Descripci\u00f3n general del procesamiento paralelo de trabajos DML (DBMS_PARALLEL_EXECUTE)"},"content":{"rendered":"

Presenta DBMS_PARALLEL_EXECUTE, que se puede usar desde Oracle 11g R2, y examina los casos de uso.<\/p>\n\n\n

\n
\"DBMS_PARALLEL_EXECUTE<\/a>
Diagrama conceptual de la ejecuci\u00f3n de DBMS_PARALLEL_EXECUTE<\/figcaption><\/figure>\n<\/div>\n\n\n

Fuente de imagen: https:\/\/blogs.oracle.com\/warehousebuilder\/parallel-processing-with-dbmsparallelexecute<\/a><\/p><\/blockquote>\n\n\n\n

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<<Tabla de contenidos>><\/p>\nPalanca<\/span><\/path><\/svg><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n

  • 1. Descripci\u00f3n general del procesamiento paralelo de tareas DML<\/a>
    • 1.1. M\u00e9todo de procesamiento paralelo DML<\/a><\/li>
    • 1.2. Concepto DBMS_PARALLEL_EXECUTE<\/a><\/li>
    • 1.3. Crear tablas y datos para la prueba DBMS_PARALLEL_EXECUTE<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n

      <\/span>1. Descripci\u00f3n general del procesamiento paralelo de tareas DML<\/span><\/h2>\n\n\n\n

      <\/span>1.1. M\u00e9todo de procesamiento paralelo DML<\/span><\/h3>\n\n\n\n

      El procesamiento paralelo se usa cuando desea procesar r\u00e1pidamente un trabajo DML (INSERTAR, ACTUALIZAR, ELIMINAR) en la base de datos utilizando tantos recursos como sea posible. Hay dos m\u00e9todos principales de procesamiento paralelo.<\/p>\n\n\n\n

      El primer m\u00e9todo es especificar el grado paralelo como una sugerencia mientras se ejecuta un SQL (DML paralelo, transacci\u00f3n \u00fanica), y el segundo m\u00e9todo es ejecutar m\u00faltiples SQL especificando un rango de datos (Programa DML paralelo, transacci\u00f3n m\u00faltiple). am .<\/p>\n\n\n\n

      En la mayor\u00eda de los casos, el primer m\u00e9todo, el m\u00e9todo DML paralelo, es ventajoso en t\u00e9rminos de consistencia de datos porque se procesa como una sola transacci\u00f3n. Sin embargo, si no se puede aplicar el primer m\u00e9todo o si desea definir usted mismo el tama\u00f1o o el alcance de la unidad de trabajo, es mejor aplicar el segundo m\u00e9todo. (Entonces, el segundo m\u00e9todo tambi\u00e9n se llama DIY (Do It Yourself) Parallel DML)<\/p>\n\n\n\n

      Los ejemplos de situaciones en las que no se puede aplicar Parallel DML son los siguientes.<\/p>\n\n\n\n

      • DML para SELECCIONAR una tabla que contiene columnas LOB<\/li>
      • DML en enlace de base de datos<\/li>
      • Procesamiento paralelo de DML en unidades PL\/SQL en lugar de unidades SQL o unidades de procedimiento implementadas en procedimientos complejos<\/li>
      • DML que no est\u00e1 implementado en PL\/SQL y se ejecuta en un lenguaje como Java<\/li><\/ul>\n\n\n\n

        Los pasos para ejecutar Program Parallel DML ser\u00e1n ligeramente diferentes seg\u00fan la situaci\u00f3n, pero en general son los siguientes.<\/p>\n\n\n\n

        1. Selecci\u00f3n de objetivo de trabajo.<\/li>
        2. Selecci\u00f3n de paralelismo y divisi\u00f3n de unidades de trabajo (Partici\u00f3n, fecha, n\u00famero, ROWID, etc.) -> Creaci\u00f3n de archivos .sql por unidades de trabajo<\/li>
        3. Ejecuci\u00f3n y supervisi\u00f3n de tareas -> Ejecutar cada archivo .sql en una sesi\u00f3n individual (SQL*Plus, etc.)<\/li>
        4. Confirmar la finalizaci\u00f3n de la tarea -> Verificaci\u00f3n de la comparaci\u00f3n de recuento de filas, comparaci\u00f3n de sumas, etc.<\/li><\/ol>\n\n\n\n

          Cuando los requisitos o las situaciones cambian y es necesario cambiar el grado de paralelismo (DOP) o se requiere volver a trabajar, los pasos 2 y 3 se realizan repetidamente, y la gesti\u00f3n y la confirmaci\u00f3n no son simples. Es un inconveniente tener que repetir tareas similares manualmente una y otra vez cada vez que se requiere un cambio.<\/p>\n\n\n\n

          <\/span>1.2. Concepto DBMS_PARALLEL_EXECUTE<\/span><\/h3>\n\n\n\n

          Al usar el m\u00e9todo Program Parallel, el uso de DBMS_PARALLEL_EXECUTE puede ejecutar y administrar esta tarea de manera m\u00e1s conveniente.<\/p>\n\n\n\n

          * Documento de referencia de Oracle: http:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS233<\/a><\/p>\n\n\n\n

          (Para referencia, DBMS_PARALLEL_EXECUTE usa JOB internamente, por lo que la autoridad CREATE JOB debe otorgarse al usuario que lo ejecuta).<\/p>\n\n\n\n

          DBMS_PARALLEL_EXECUTE es un paquete introducido como una nueva funci\u00f3n en Oracle 11g R2. La lista de los principales subprogramas se muestra en la siguiente tabla, y la lista completa y la explicaci\u00f3n se pueden encontrar en el documento de Oracle.<\/p>\n\n\n\n

          subprograma<\/td>Explicaci\u00f3n<\/td><\/tr>
          Procedimiento CREATE_TASK<\/td>crear una tarea<\/td><\/tr>
          Procedimiento CREATE_CHUNKS_BY_NUMBER_COL<\/td>Crear fragmento por N\u00daMERO columna<\/td><\/tr>
          Procedimiento CREATE_CHUNKS_BY_ROWID<\/td>Crear fragmentos con ROWID<\/td><\/tr>
          Procedimiento CREATE_CHUNKS_BY_SQL<\/td>Crear fragmentos con SQL personalizado<\/td><\/tr>
          Procedimiento DROP_TASK<\/td>Quitar tarea<\/td><\/tr>
          Procedimiento DROP_CHUNKS<\/td>Eliminar trozos<\/td><\/tr>
          Procedimientos RESUME_TASK<\/td>Volver a ejecutar una tarea detenida<\/td><\/tr>
          Procedimiento RUN_TASK<\/td>ejecutar la tarea<\/td><\/tr>
          Procedimiento STOP_TASK<\/td>detener la tarea<\/td><\/tr>
          Procedimiento TASK_STATUS<\/td>Devolver el estado actual de la tarea<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

          Los pasos para aplicar DBMS_PARALLEL_EXECUTE son casi similares a los pasos para ejecutar Program Parallel DML de la siguiente manera.<\/p>\n\n\n\n

          1. Crear tarea (CREATE_TASK)<\/li>
          2. Divisi\u00f3n de la unidad de trabajo (fragmento) (se proporcionan tres m\u00e9todos de ROWID, NUMBER y SQL)
            • CREATE_CHUNKS_BY_ROWID<\/li>
            • CREATE_CHUNKS_BY_NUMBER_COL<\/li>
            • CREATE_CHUNKS_BY_SQL<\/li><\/ul><\/li>
            • Ejecutar tarea (RUN_TASK)<\/li>
            • Eliminar despu\u00e9s de completar la tarea (DROP_TASK)<\/li><\/ol>\n\n\n\n

              <\/span>1.3. Crear tablas y datos para la prueba DBMS_PARALLEL_EXECUTE<\/span><\/h3>\n\n\n\n

              Cree tablas y datos para probar con el siguiente script.<\/p>\n\n\n\n

              -- \ud14c\uc2a4\ud2b8 \ud14c\uc774\ube14\uacfc \ub370\uc774\ud130 \uc0dd\uc131\nDROP TABLE Z_DPE_TEST_TAB PURGE;\n\nCREATE TABLE Z_DPE_TEST_TAB (\n    ID      NUMBER(10)\n   ,MSG     VARCHAR2(100)\n   ,VAL     NUMBER\n   ,AUDSID  NUMBER\n) NOLOGGING;\n\n-- 100\ub9cc\uac74 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130 \uc0dd\uc131\nINSERT \/*+ APPEND *\/ INTO Z_DPE_TEST_TAB (ID, MSG)\nSELECT  LEVEL AS ID\n       ,'Test Data ID: ' || TO_CHAR(LEVEL)\n  FROM  DUAL\nCONNECT BY LEVEL <= 1000000;\n\nCOMMIT;<\/pre>\n\n\n\n
              Hay 4 columnas para usar en la prueba, y cada prop\u00f3sito es el siguiente.<\/p>\n\n\n\n
              nombre de la columna<\/td>prop\u00f3sito<\/td><\/tr>
              IDENTIFICACI\u00d3N<\/td>Un valor para identificar cada fila en la tabla<\/td><\/tr>
              GMS<\/td>un valor que proporciona una descripci\u00f3n<\/td><\/tr>
              valor<\/td>Valor aleatorio actualizado en ejecuci\u00f3n de prueba<\/td><\/tr>
              AUDID<\/td>Un valor para comprobar en cu\u00e1ntas sesiones se ejecuta la prueba.
              Se actualiza con SYS_CONTEXT('USERENV','SESSIONID').<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
              Como referencia, el entorno en el que se realiz\u00f3 esta prueba es el siguiente.<\/p>\n\n\n\n
              • DBMS: Oracle 11g R2 Enterprise 11.2.0.1.0 de 32 bits (en Windows 7 x64)<\/li>
              • H\/W: CPU i5-5200U 2,20 GHz, memoria 8 GB, SSD 250 GB<\/li><\/ul>\n\n\n\n
                A continuaci\u00f3n, veamos un caso mediante la divisi\u00f3n de cada unidad de trabajo (trozo).<\/p>\n\n\n\n
                <\/p>","protected":false},"excerpt":{"rendered":"
                Presenta DBMS_PARALLEL_EXECUTE que se puede usar desde Oracle 11g R2 y examina los casos de uso. Fuente de la imagen: https:\/\/blogs.oracle.com\/warehousebuilder\/parallel-processing-with-dbmsparallelexecute 1. Descripci\u00f3n general del procesamiento paralelo de trabajos DML 1.1. M\u00e9todo de procesamiento paralelo DML El procesamiento paralelo se utiliza cuando desea procesar r\u00e1pidamente una operaci\u00f3n DML (INSERTAR, ACTUALIZAR, ELIMINAR) utilizando tantos recursos como sea posible en la base de datos. Hay dos m\u00e9todos principales de procesamiento paralelo. Primero...<\/p>","protected":false},"author":1,"featured_media":11845,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[242,243,244,245,246],"class_list":["post-11844","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-oracle","tag-oracle","tag-dbms_parallel_execute","tag-244","tag-dml-parallel-processing","tag-dml-"],"yoast_head":"\n1. DML \uc791\uc5c5\uc758 \ubcd1\ub82c \ucc98\ub9ac \uac1c\uc694 (DBMS_PARALLEL_EXECUTE) - \uc0dd\uc0b0\uc131 Skill<\/title>\n<meta name=\"description\" content=\"Oracle 11g R2\ubd80\ud130 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 DBMS_PARALLEL_EXECUTE \uc5d0 \ub300\ud574 \uc18c\uac1c\ud558\uace0 \ud65c\uc6a9\uc0ac\ub840\ub97c \uc0b4\ud3b4\ubcf8\ub2e4. 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