{"id":11873,"date":"2022-10-02T18:32:15","date_gmt":"2022-10-02T09:32:15","guid":{"rendered":"https:\/\/prodskill.com\/?p=11873"},"modified":"2022-10-04T23:55:33","modified_gmt":"2022-10-04T14:55:33","slug":"oracle-dbms-parallel-execute-3-chunk-by-number-column","status":"publish","type":"post","link":"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/","title":{"rendered":"3. N\u00daMERO Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n de columnas (DBMS_PARALLEL_EXECUTE)"},"content":{"rendered":"<p>Veamos un caso de procesamiento paralelo del m\u00e9todo de partici\u00f3n de NUMBER columnas utilizando Oracle DBMS_PARALLEL_EXECUTE. Cubre la creaci\u00f3n de tareas, la divisi\u00f3n de unidades de trabajo, la ejecuci\u00f3n de tareas, la confirmaci\u00f3n de finalizaci\u00f3n de tareas y su eliminaci\u00f3n.<\/p>\n\n\n\n<p>Esta es una continuaci\u00f3n del art\u00edculo anterior.<\/p>\n\n\n\n<p><a href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify\/\">2.5. Comprobaci\u00f3n detallada de la partici\u00f3n de la unidad de trabajo (DBMS_PARALLEL_EXECUTE)<\/a><\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">&lt;&lt;Tabla de contenidos&gt;&gt;<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Pesta\u00f1a de contenido alternativo\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Palanca<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/#3_NUMBER_Column_%EB%B6%84%ED%95%A0_%EB%B0%A9%EC%8B%9D_%EB%B3%91%EB%A0%AC_%EC%B2%98%EB%A6%AC_%EC%82%AC%EB%A1%80\" >3. N\u00daMERO Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n de columna<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/#31_%EC%9E%91%EC%97%85_%EC%83%9D%EC%84%B1\" >3.1. crear trabajo<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/#32_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84_%EB%B6%84%ED%95%A0\" >3.2. unidad de trabajo dividida<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/#33_%EC%9E%91%EC%97%85_%EC%8B%A4%ED%96%89\" >3.3. ejecuci\u00f3n de trabajo<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/#34_%EC%9E%91%EC%97%85_%EC%99%84%EB%A3%8C_%ED%99%95%EC%9D%B8_%EB%B0%8F_%EC%82%AD%EC%A0%9C\" >3.4. Confirmar la finalizaci\u00f3n de la tarea y eliminar<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"3._NUMBER_Column_\ubd84\ud560_\ubc29\uc2dd\uc758_\ubcd1\ub82c_\ucc98\ub9ac_\uc0ac\ub840\"><span class=\"ez-toc-section\" id=\"3_NUMBER_Column_%EB%B6%84%ED%95%A0_%EB%B0%A9%EC%8B%9D_%EB%B3%91%EB%A0%AC_%EC%B2%98%EB%A6%AC_%EC%82%AC%EB%A1%80\"><\/span>3. N\u00daMERO Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n de columna<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Veamos un ejemplo del m\u00e9todo de divisi\u00f3n por N\u00daMERO Columna. Es casi similar al m\u00e9todo ROWID, pero los siguientes elementos son ligeramente diferentes.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Utilice el procedimiento CREATE_CHUNKS_BY_NUMBER_COL al dividir unidades de trabajo.<\/li><li>Al ejecutar una tarea, la columna N\u00daMERO se utiliza en la cl\u00e1usula WHERE de la declaraci\u00f3n SQL.<\/li><\/ul>\n\n\n\n<p>*Documentaci\u00f3n de referencia de Oracle: <a href=\"https:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS67355\" target=\"_blank\" rel=\"noreferrer noopener\">Procedimiento DBMS_PARALLEL_EXECUTE \u2013 CREATE_CHUNKS_BY_NUMBER_COL<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3.1._\uc791\uc5c5_\uc0dd\uc131\"><span class=\"ez-toc-section\" id=\"31_%EC%9E%91%EC%97%85_%EC%83%9D%EC%84%B1\"><\/span>3.1. crear trabajo<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>No hay diferencia en c\u00f3mo se crea una tarea.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- 1\ub2e8\uacc4: \uc791\uc5c5\uc0dd\uc131\nBEGIN\n  DBMS_PARALLEL_EXECUTE.CREATE_TASK(TASK_NAME => 'DPE_TEST(BY NUMBER)');\nEND;\n\/\n\n-- \uc791\uc5c5 \uc0dd\uc131 \ud655\uc778\nSELECT *\n  FROM USER_PARALLEL_EXECUTE_TASKS\n WHERE TASK_NAME = 'DPE_TEST(BY NUMBER)';<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3.2._\uc791\uc5c5_\ub2e8\uc704_\ubd84\ud560\"><span class=\"ez-toc-section\" id=\"32_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84_%EB%B6%84%ED%95%A0\"><\/span>3.2. unidad de trabajo dividida<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>CREATE_CHUNKS_BY_NUMBER_COL( ,<table> ,<table> ,<table> , ) para dividir la unidad de trabajo.<\/p>\n\n\n\n<p>Para crear un fragmento dividido en 10.000 casos seg\u00fan la columna &quot;ID&quot; de la tabla Z_DPE_TEST_TAB, ejecute lo siguiente.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- 2\ub2e8\uacc4: \uc791\uc5c5 \ub2e8\uc704 \ubd84\ud560\nBEGIN\n  DBMS_PARALLEL_EXECUTE.CREATE_CHUNKS_BY_NUMBER_COL (\n            TASK_NAME    => 'DPE_TEST(BY NUMBER)',\n            TABLE_OWNER  => USER,\n            TABLE_NAME   => 'Z_DPE_TEST_TAB',\n            TABLE_COLUMN => 'ID',\n            CHUNK_SIZE   => 10000);\nEND;<\/pre>\n\n\n\n<p>Comprobemos el estado de divisi\u00f3n de la unidad de trabajo.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- \uc791\uc5c5 \ubd84\ud560 \uc0c1\ud0dc \ud655\uc778\nSELECT *\n  FROM USER_PARALLEL_EXECUTE_CHUNKS\n WHERE TASK_NAME = 'DPE_TEST(BY NUMBER)'\n ORDER BY START_ID;<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57.png\"><img loading=\"lazy\" decoding=\"async\" width=\"883\" height=\"537\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57.png\" alt=\"\uc791\uc5c5 \ubd84\ud560 \uc0c1\ud0dc\" class=\"wp-image-11874\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57.png 883w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57-300x182.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57-768x467.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57-18x12.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57-24x15.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57-36x22.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-57-48x29.png 48w\" sizes=\"auto, (max-width: 883px) 100vw, 883px\" \/><\/a><figcaption>Estado de divisi\u00f3n de trabajo<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Como puede ver aproximadamente en los resultados anteriores, cada fragmento se dividi\u00f3 en 10.000 filas. (La tabla de ejemplo se cre\u00f3 con valores de ID utilizando n\u00fameros secuenciales de 1 a 1 mill\u00f3n)<\/p>\n\n\n\n<p>Como referencia, al dividir un ROWID (procedimiento CREATE_CHUNKS_BY_ROWID), los valores se crean en START_ROWID y END_ROWID, y al dividir una NUMBER columna (CREATE_CHUNKS_BY_NUMBER_COL), los valores se crean en START_ID y END_ID.<\/p>\n\n\n\n<p>Comprobemos si las unidades de trabajo (fragmentos) est\u00e1n distribuidas uniformemente.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- \uc791\uc5c5 \ubd84\ud560 \uade0\ub4f1 \ud655\uc778\n-- Chunk\uc758 START_ID, END_ID range\ub85c \ucd94\ucd9c\ud55c Row Count\nSELECT  B.CHUNK_ID, COUNT(A.ID) ROW_COUNT\n  FROM  Z_DPE_TEST_TAB A,\n        (\n        SELECT  CHUNK_ID, START_ID, END_ID\n          FROM  USER_PARALLEL_EXECUTE_CHUNKS\n         WHERE  TASK_NAME = 'DPE_TEST(BY NUMBER)'\n        ) B\n WHERE  A.ID BETWEEN B.START_ID AND B.END_ID\n GROUP  BY B.CHUNK_ID\n ORDER  BY B.CHUNK_ID;<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58.png\"><img loading=\"lazy\" decoding=\"async\" width=\"883\" height=\"537\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58.png\" alt=\"\uc791\uc5c5 \ubd84\ud560 \uade0\ub4f1 \ud655\uc778\" class=\"wp-image-11875\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58.png 883w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58-300x182.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58-768x467.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58-18x12.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58-24x15.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58-36x22.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-58-48x29.png 48w\" sizes=\"auto, (max-width: 883px) 100vw, 883px\" \/><\/a><figcaption>Comprobar la divisi\u00f3n equitativa del trabajo.<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Si verifica la cantidad de casos en la tabla usando el START_ID y END_ID de cada fragmento, est\u00e1 bien dividido en 10,000 casos.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- Chunk\uc758 START_ID, END_ID range\ub85c \ucd94\ucd9c\ud55c Row \uc804\uccb4 Count\nSELECT  SUM(COUNT(A.ID)) ROW_COUNT\n  FROM  Z_DPE_TEST_TAB A,\n        (\n        SELECT  CHUNK_ID, START_ID, END_ID\n          FROM  USER_PARALLEL_EXECUTE_CHUNKS\n         WHERE  TASK_NAME = 'DPE_TEST(BY NUMBER)'\n        ) B\n WHERE  A.ID BETWEEN B.START_ID AND B.END_ID\nGROUP  BY B.CHUNK_ID;<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59.png\"><img loading=\"lazy\" decoding=\"async\" width=\"731\" height=\"489\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59.png\" alt=\"chunk row count \ud569\uacc4 \ud655\uc778\" class=\"wp-image-11876\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59.png 731w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59-300x201.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59-18x12.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59-24x16.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59-36x24.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-59-48x32.png 48w\" sizes=\"auto, (max-width: 731px) 100vw, 731px\" \/><\/a><figcaption>Verificar la suma del recuento de filas de fragmentos<\/figcaption><\/figure>\n<\/div>\n\n\n<p>El recuento total de filas de todos los fragmentos es 1.000.000, lo que coincide con el n\u00famero total de datos.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3.3._\uc791\uc5c5_\uc2e4\ud589\"><span class=\"ez-toc-section\" id=\"33_%EC%9E%91%EC%97%85_%EC%8B%A4%ED%96%89\"><\/span>3.3. ejecuci\u00f3n de trabajo<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>EJECUTAR_TASK( , , , ) para ejecutar la tarea. El m\u00e9todo de ejecuci\u00f3n de la tarea es el mismo que el m\u00e9todo ROWID.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- 3\ub2e8\uacc4: \uc791\uc5c5 \uc2e4\ud589\nDECLARE\n  L_SQL_STMT VARCHAR2(32767);\nBEGIN\n  L_SQL_STMT := 'UPDATE  Z_DPE_TEST_TAB\n                    SET  VAL = ROUND(DBMS_RANDOM.VALUE(1,10000))\n                        ,AUDSID = SYS_CONTEXT(''USERENV'',''SESSIONID'')\n                  WHERE  ID BETWEEN :START_ID AND :END_ID';\n\n  DBMS_PARALLEL_EXECUTE.RUN_TASK(TASK_NAME      => 'DPE_TEST(BY NUMBER)',\n                                 SQL_STMT       => L_SQL_STMT,\n                                 LANGUAGE_FLAG  => DBMS_SQL.NATIVE,\n                                 PARALLEL_LEVEL => 10);\nEND;\n\/<\/pre>\n\n\n\n<p>El SQL ejecutado es casi el mismo que el caso de la partici\u00f3n ROWID, pero la diferencia es que la columna de condici\u00f3n en la cl\u00e1usula WHERE no es &quot;ROWID&quot; sino &quot;ID&quot;, que es la columna N\u00daMERO designada.<\/p>\n\n\n\n<p>Veamos los cambios de estado del fragmento durante la ejecuci\u00f3n.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- Chunk \uc0c1\ud0dc\ubcc4 Count\nSELECT STATUS, COUNT\n  FROM USER_PARALLEL_EXECUTE_CHUNKS\n WHERE TASK_NAME = 'DPE_TEST(BY NUMBER)'\nGROUP BY STATUS;<\/pre>\n\n\n\n<p>Cuando el trabajo est\u00e1 en progreso, el estado del fragmento cambia a NO ASIGNADO -&gt; ASIGNADO -&gt; PROCESADO y se procesa de la siguiente manera.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60.png\"><img loading=\"lazy\" decoding=\"async\" width=\"731\" height=\"428\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60.png\" alt=\"\uc791\uc5c5 \uc2e4\ud589\uc911 chunk \uc0c1\ud0dc \ud655\uc778\" class=\"wp-image-11877\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60.png 731w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60-300x176.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60-18x12.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60-24x14.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60-36x21.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-60-48x28.png 48w\" sizes=\"auto, (max-width: 731px) 100vw, 731px\" \/><\/a><figcaption>Verifique el estado del fragmento mientras se ejecuta la tarea<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Cuando se completa la tarea, el estado de todos los fragmentos aparece como PROCESADO.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61.png\"><img loading=\"lazy\" decoding=\"async\" width=\"731\" height=\"428\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61.png\" alt=\"\uc791\uc5c5 \uc644\ub8cc chunk \uc0c1\ud0dc \ud655\uc778\" class=\"wp-image-11878\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61.png 731w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61-300x176.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61-18x12.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61-24x14.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61-36x21.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-61-48x28.png 48w\" sizes=\"auto, (max-width: 731px) 100vw, 731px\" \/><\/a><figcaption>Verificar el estado del fragmento de finalizaci\u00f3n de la tarea<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Despu\u00e9s de completar la tarea, puede verificar cu\u00e1ntas filas se actualizaron en qu\u00e9 sesiones ejecutando el siguiente SQL.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- \ub3d9\uc2dc \uc2e4\ud589\ud604\ud669 \ud655\uc778\nSELECT AUDSID, COUNT(*)\n  FROM Z_DPE_TEST_TAB\n GROUP BY AUDSID\n ORDER BY AUDSID;<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62.png\"><img loading=\"lazy\" decoding=\"async\" width=\"731\" height=\"536\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62.png\" alt=\"\uc138\uc158\ubcc4 \ucc98\ub9ac\ud55c \ub370\uc774\ud130 \uac74\uc218 \ud655\uc778\" class=\"wp-image-11879\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62.png 731w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62-300x220.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62-16x12.png 16w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62-24x18.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62-36x26.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-62-48x35.png 48w\" sizes=\"auto, (max-width: 731px) 100vw, 731px\" \/><\/a><figcaption>Consulta el n\u00famero de datos procesados por sesi\u00f3n.<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Del contenido anterior, podemos ver lo siguiente:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Se ejecutaron un total de 10 sesiones de trabajo.<\/li><li>Cada sesi\u00f3n de trabajo se ejecut\u00f3 con 10.000 fragmentos asignados, en su mayor\u00eda 10 cada uno.<\/li><li>AUDSID: 71767 Sesi\u00f3n de trabajo se ejecut\u00f3 con 9 fragmentos (90 000 casos) asignados, y AUDSID: 71773 Sesi\u00f3n de trabajo se asign\u00f3 y ejecut\u00f3 con 11 fragmentos (110 000 casos).<\/li><li>En otras palabras, la cantidad de RUN_TASK es mayor que la cantidad total de fragmentos (aqu\u00ed, 100). Cuando esto es peque\u00f1o, a un trabajo se le asignan varios fragmentos y se ejecuta, y el n\u00famero de ejecuciones puede variar incluso si el grado de divisi\u00f3n de los fragmentos es uniforme.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3.4._\uc791\uc5c5_\uc644\ub8cc_\ud655\uc778_\ubc0f_\uc0ad\uc81c\"><span class=\"ez-toc-section\" id=\"34_%EC%9E%91%EC%97%85_%EC%99%84%EB%A3%8C_%ED%99%95%EC%9D%B8_%EB%B0%8F_%EC%82%AD%EC%A0%9C\"><\/span>3.4. Confirmar la finalizaci\u00f3n de la tarea y eliminar<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>DROP_TAREA( ) para eliminar el trabajo.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-auto-translation=\"\">-- 4\ub2e8\uacc4: \uc791\uc5c5 \uc644\ub8cc \ud655\uc778 \ubc0f \uc791\uc5c5 \uc0ad\uc81c\n-- \uc791\uc5c5 \uc644\ub8cc \ud655\uc778\nSELECT * FROM USER_PARALLEL_EXECUTE_TASKS;\n\n-- \uc791\uc5c5 \uc0ad\uc81c\nBEGIN\n  DBMS_PARALLEL_EXECUTE.DROP_TASK(TASK_NAME => 'DPE_TEST(BY NUMBER)');\nEND;\n\/<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63.png\"><img loading=\"lazy\" decoding=\"async\" width=\"731\" height=\"402\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63.png\" alt=\"\uc791\uc5c5 \uc644\ub8cc \ud655\uc778\" class=\"wp-image-11880\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63.png 731w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63-300x165.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63-18x10.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63-24x13.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63-36x20.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-63-48x26.png 48w\" sizes=\"auto, (max-width: 731px) 100vw, 731px\" \/><\/a><figcaption>Confirmar la finalizaci\u00f3n de la tarea<\/figcaption><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<p>Hasta este punto, hemos visto ejemplos de procesamiento paralelo utilizando el m\u00e9todo de divisi\u00f3n de N\u00daMEROS Columnas. A continuaci\u00f3n, veremos un ejemplo de partici\u00f3n basada en SQL definido por el usuario.<\/p>","protected":false},"excerpt":{"rendered":"<p>Usando Oracle DBMS_PARALLEL_EXECUTE, veamos el caso de procesamiento paralelo del m\u00e9todo de partici\u00f3n de columna N\u00daMERO. Se trata de crear un trabajo, dividir una unidad de trabajo, ejecutar un trabajo y verificar y eliminar la finalizaci\u00f3n del trabajo. Esta es una continuaci\u00f3n del art\u00edculo anterior. 2.5. Verifique los detalles de la divisi\u00f3n de la unidad de trabajo (DBMS_PARALLEL_EXECUTE) 3. Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n de columna N\u00daMERO Veamos un ejemplo del m\u00e9todo de divisi\u00f3n por columna N\u00daMERO. M\u00e9todo ROWID y casi...<\/p>","protected":false},"author":1,"featured_media":11874,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[242,243,244,245,246],"class_list":["post-11873","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":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>3. 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