{"id":11864,"date":"2022-10-02T17:05:36","date_gmt":"2022-10-02T08:05:36","guid":{"rendered":"https:\/\/prodskill.com\/?p=11864"},"modified":"2022-10-04T23:53:57","modified_gmt":"2022-10-04T14:53:57","slug":"oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify","status":"publish","type":"post","link":"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify\/","title":{"rendered":"2.5. Comprobaci\u00f3n detallada de la partici\u00f3n de la unidad de trabajo (DBMS_PARALLEL_EXECUTE)"},"content":{"rendered":"<p>Esto est\u00e1 relacionado con la verificaci\u00f3n de los detalles de la divisi\u00f3n de la unidad de trabajo. Examine el grado en que el resultado de dividir las unidades de trabajo (fragmentos) por ROWID se divide uniformemente, si la suma de las unidades de trabajo es igual al total y si no hay omisiones, y la correlaci\u00f3n entre el n\u00famero de unidades de trabajo y el n\u00famero de puestos de trabajo.<\/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-chunk-by-rowid\/\">2. Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n ROWID<\/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-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify\/#25_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84_%EB%B6%84%ED%95%A0_%EC%83%81%EC%84%B8_%ED%99%95%EC%9D%B8\" >2.5. Comprobaci\u00f3n de detalles de divisi\u00f3n de unidad de trabajo<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify\/#251_ROWID%EB%A1%9C_%EB%B6%84%ED%95%A0%ED%95%9C_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84%EB%93%A4%EC%9D%98_%EA%B7%A0%EC%9D%BC%ED%95%9C_%EC%A0%95%EB%8F%84\" >2.5.1. Uniformidad de las unidades de trabajo divididas por ROWID<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify\/#252_ROWID%EB%A1%9C_%EB%B6%84%ED%95%A0%ED%95%9C_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84%EB%93%A4%EC%9D%B4_%EB%88%84%EB%9D%BD_%EC%97%86%EC%9D%8C_%ED%99%95%EC%9D%B8\" >2.5.2. Verifique que no falten unidades de trabajo divididas por ROWID<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify\/#253_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84Chunk%EC%9D%98_%EC%88%98%EC%99%80_%EC%9E%91%EC%97%85%EC%9D%98_PARALLEL_LEVEL_%EC%8B%A4%ED%96%89%ED%95%98%EB%8A%94_Job%EC%9D%98_%EA%B0%9C%EC%88%98%EA%B0%84%EC%9D%98_%EC%83%81%EA%B4%80%EA%B4%80%EA%B3%84\" >2.5.3. Correlaci\u00f3n entre el n\u00famero de unidades de trabajo (fragmentos) y el PARALLEL_LEVEL (el n\u00famero de trabajos a ejecutar)<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h3 class=\"wp-block-heading\" id=\"2.5._\uc791\uc5c5_\ub2e8\uc704_\ubd84\ud560_\uc0c1\uc138_\ud655\uc778\"><span class=\"ez-toc-section\" id=\"25_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84_%EB%B6%84%ED%95%A0_%EC%83%81%EC%84%B8_%ED%99%95%EC%9D%B8\"><\/span>2.5. Comprobaci\u00f3n de detalles de divisi\u00f3n de unidad de trabajo<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Echemos un vistazo a lo siguiente para ver si la unidad de trabajo est\u00e1 bien dividida.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Uniformidad de las unidades de trabajo divididas por ROWID<\/li><li>Verifique que no falten unidades de trabajo divididas por ROWID<\/li><li>Correlaci\u00f3n entre el n\u00famero de unidades de trabajo (fragmentos) y el PARALLEL_LEVEL (el n\u00famero de trabajos a ejecutar)<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"2.5.1._ROWID\ub85c_\ubd84\ud560\ud55c_\uc791\uc5c5_\ub2e8\uc704\ub4e4\uc758_\uade0\uc77c\ud55c_\uc815\ub3c4\"><span class=\"ez-toc-section\" id=\"251_ROWID%EB%A1%9C_%EB%B6%84%ED%95%A0%ED%95%9C_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84%EB%93%A4%EC%9D%98_%EA%B7%A0%EC%9D%BC%ED%95%9C_%EC%A0%95%EB%8F%84\"><\/span>2.5.1. Uniformidad de las unidades de trabajo divididas por ROWID<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>La siguiente divisi\u00f3n significa dividir la tabla Z_DPE_TEST_TAB en 10\u00a0000 unidades de trabajo seg\u00fan el recuento de filas.<\/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_ROWID(TASK_NAME   => 'DPE_TEST(BY ROWID)',\n                                               TABLE_OWNER => USER,\n                                               TABLE_NAME  => 'Z_DPE_TEST_TAB',\n                                               BY_ROW      => TRUE,\n                                               CHUNK_SIZE  => 10000);\nEND;\n\/<\/pre>\n\n\n\n<p>Veamos si realmente se divide por 10,000.<\/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\ub2e8\uc704 \uac1c\uc218 \ud655\uc778 --> 115\nSELECT COUNT(*)\n  FROM USER_PARALLEL_EXECUTE_CHUNKS\nWHERE TASK_NAME = 'DPE_TEST(BY ROWID)';<\/pre>\n\n\n\n<p>Dado que el n\u00famero total de filas es 1 000 000, parece que deber\u00eda dividirse en 100 fragmentos si se divide en 10 000 filas, pero en realidad est\u00e1 dividido en 115 fragmentos.<\/p>\n\n\n\n<p>Si calcula el recuento de filas para cada fragmento,<\/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=\"\">SELECT  B.CHUNK_ID, COUNT(A.ID), MIN(A.ID) MIN_ID, MAX(A.ID) MAX_ID\n  FROM  Z_DPE_TEST_TAB A,\n        (\n        SELECT  CHUNK_ID, START_ROWID, END_ROWID\n          FROM  USER_PARALLEL_EXECUTE_CHUNKS\n         WHERE  TASK_NAME = 'DPE_TEST(BY ROWID)'\n        ) B\n WHERE  A.ROWID BETWEEN B.START_ROWID AND B.END_ROWID\n GROUP  BY B.CHUNK_ID\n ORDER  BY B.CHUNK_ID;<\/pre>\n\n\n\n<p>Puede ver que est\u00e1 dividido en varios conteos, como 1334, 2064 y 1886, no 10,000.<\/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-51.png\"><img loading=\"lazy\" decoding=\"async\" width=\"883\" height=\"644\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51.png\" alt=\"chunk\ubcc4 row count\" class=\"wp-image-11865\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51.png 883w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51-300x219.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51-768x560.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51-16x12.png 16w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51-24x18.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51-36x26.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-51-48x35.png 48w\" sizes=\"auto, (max-width: 883px) 100vw, 883px\" \/><\/a><figcaption>recuento de filas por fragmento<\/figcaption><\/figure>\n<\/div>\n\n\n<p>El n\u00famero de filas contenidas en el fragmento es 14 en la secci\u00f3n de 1000 a 2000 filas, 2 en la secci\u00f3n de 2000 filas, 33 en la secci\u00f3n de 6000 filas, 64 en la secci\u00f3n de 11 000 filas y 2 en la secci\u00f3n de 12 000 filas. (Es posible que no d\u00e9 el mismo resultado cada vez).<\/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-52.png\"><img loading=\"lazy\" decoding=\"async\" width=\"573\" height=\"347\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-52.png\" alt=\"Row\uc218 \uad6c\uac04\ubcc4 chunk\uc218\" class=\"wp-image-11866\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-52.png 573w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-52-300x182.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-52-18x12.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-52-24x15.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-52-36x22.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-52-48x29.png 48w\" sizes=\"auto, (max-width: 573px) 100vw, 573px\" \/><\/a><figcaption>N\u00famero de filas N\u00famero de fragmentos por secci\u00f3n<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Como tal, no se divide en un n\u00famero completamente igual de filas. Esto parece deberse a que el m\u00e9todo de partici\u00f3n ROWID se basa en DBA_EXTENTS, y la cantidad de bloques incluidos en cada EXTENSI\u00d3N y el recuento de FILAS de cada bloque pueden ser diferentes. Como referencia, si hay BLOQUES no utilizados en la tabla por DELETE, etc., se puede crear una secci\u00f3n ROWID donde realmente no existen datos como un fragmento. Tambi\u00e9n se espera que esto ocurra cuando los datos se eliminan despu\u00e9s de haber sido asignados a DBA_EXTENT, o cuando hay EXTENT que se han asignado pero no contienen datos reales.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"2.5.2._ROWID\ub85c_\ubd84\ud560\ud55c_\uc791\uc5c5_\ub2e8\uc704\ub4e4\uc774_\ub204\ub77d_\uc5c6\uc74c_\ud655\uc778\"><span class=\"ez-toc-section\" id=\"252_ROWID%EB%A1%9C_%EB%B6%84%ED%95%A0%ED%95%9C_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84%EB%93%A4%EC%9D%B4_%EB%88%84%EB%9D%BD_%EC%97%86%EC%9D%8C_%ED%99%95%EC%9D%B8\"><\/span>2.5.2. Verifique que no falten unidades de trabajo divididas por ROWID<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>\u00bfPodr\u00edan faltar datos cuando se expanden las secciones START_ROWID y END_ROWID de cada fragmento?<\/p>\n\n\n\n<p>Primero, verifiquemos el conteo de filas.<\/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 RowID range\ub85c \ucd94\ucd9c\ud55c Row Count\nSELECT  COUNT(A.ID) ROW_COUNT\n  FROM  Z_DPE_TEST_TAB A,\n        (\n        SELECT  CHUNK_ID, START_ROWID, END_ROWID\n          FROM  USER_PARALLEL_EXECUTE_CHUNKS\n         WHERE  TASK_NAME = 'DPE_TEST(BY ROWID)'\n        ) B\n WHERE  A.ROWID BETWEEN B.START_ROWID AND B.END_ROWID;<\/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-53.png\"><img loading=\"lazy\" decoding=\"async\" width=\"883\" height=\"644\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53.png\" alt=\"row count \uc77c\uce58 \ud655\uc778\" class=\"wp-image-11867\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53.png 883w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53-300x219.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53-768x560.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53-16x12.png 16w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53-24x18.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53-36x26.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-53-48x35.png 48w\" sizes=\"auto, (max-width: 883px) 100vw, 883px\" \/><\/a><figcaption>Compruebe las coincidencias de recuento de filas<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Coincidencia del recuento total de filas de 1\u00a0000\u00a0000, una vez que se confirm\u00f3 que no faltaba el recuento y, luego, en funci\u00f3n de los datos extra\u00eddos en el rango de START_ROWID a END_ROWID de Chunk, cuando los datos originales se LEFT OUTER JOINed, falta (falta) ) a ver si los datos existen.<\/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 RowID\ub85c \ucd94\ucd9c\ud55c \ub370\uc774\ud130\uc758 \ub204\ub77d\uc5c6\uc74c \ud655\uc778\nSELECT  *\n  FROM  Z_DPE_TEST_TAB A LEFT OUTER JOIN\n        (\n        SELECT  A.ID  -- Chunk\uc758 RowID range\ub85c \ucd94\ucd9c\ud55c \ub370\uc774\ud130\n          FROM  Z_DPE_TEST_TAB A,\n                (\n                SELECT  CHUNK_ID, START_ROWID, END_ROWID\n                  FROM  USER_PARALLEL_EXECUTE_CHUNKS\n                 WHERE  TASK_NAME = 'DPE_TEST(BY ROWID)'\n                ) B\n         WHERE  A.ROWID BETWEEN B.START_ROWID AND B.END_ROWID\n        ) B ON (A.ID = B.ID)\n WHERE  B.ID IS NULL;<\/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-54.png\"><img loading=\"lazy\" decoding=\"async\" width=\"883\" height=\"644\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54.png\" alt=\"\ub370\uc774\ud130 \ub204\ub77d \uc5c6\uc74c \ud655\uc778\" class=\"wp-image-11868\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54.png 883w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54-300x219.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54-768x560.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54-16x12.png 16w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54-24x18.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54-36x26.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-54-48x35.png 48w\" sizes=\"auto, (max-width: 883px) 100vw, 883px\" \/><\/a><figcaption>Aseg\u00farate de que no falten datos<\/figcaption><\/figure>\n<\/div>\n\n\n<p>De los resultados anteriores, se puede ver que no faltan datos.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"2.5.3._\uc791\uc5c5_\ub2e8\uc704(Chunk)\uc758_\uc218\uc640_\uc791\uc5c5\uc758_PARALLEL_LEVEL_(\uc2e4\ud589\ud558\ub294_Job\uc758_\uac1c\uc218)\uac04\uc758_\uc0c1\uad00\uad00\uacc4\"><span class=\"ez-toc-section\" id=\"253_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84Chunk%EC%9D%98_%EC%88%98%EC%99%80_%EC%9E%91%EC%97%85%EC%9D%98_PARALLEL_LEVEL_%EC%8B%A4%ED%96%89%ED%95%98%EB%8A%94_Job%EC%9D%98_%EA%B0%9C%EC%88%98%EA%B0%84%EC%9D%98_%EC%83%81%EA%B4%80%EA%B4%80%EA%B3%84\"><\/span>2.5.3. Correlaci\u00f3n entre el n\u00famero de unidades de trabajo (fragmentos) y el PARALLEL_LEVEL (el n\u00famero de trabajos a ejecutar)<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>&lt;2.3. En Ejecuci\u00f3n de tareas&gt;, hab\u00eda el siguiente contenido.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>PARALLEL_LEVEL significa el n\u00famero de trabajos a ejecutar simult\u00e1neamente, es decir, el grado de paralelismo (DOP), y puede ser igual o menor que el n\u00famero de trozos, que son unidades de trabajo. En el mismo caso, un trabajo procesa un fragmento y, en un caso peque\u00f1o, un trabajo procesa varios fragmentos.<\/p><\/blockquote>\n\n\n\n<p>* Referencia: <a href=\"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-chunk-by-rowid\/#23_%EC%9E%91%EC%97%85_%EC%8B%A4%ED%96%89\">2. Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n ROWID_2.3. ejecuci\u00f3n de trabajo<\/a><\/p>\n\n\n\n<p>Considere los siguientes casos con respecto a la cantidad de fragmentos y la cantidad de trabajos.<\/p>\n\n\n\n<p><strong>\u25bc Cuando el n\u00famero de fragmentos y el n\u00famero de trabajos es el mismo (Chunk = Job)<\/strong><\/p>\n\n\n\n<p>Cuando un trabajo completa la ejecuci\u00f3n del fragmento asignado, finaliza porque no hay m\u00e1s trabajos para ejecutar.<\/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-55.png\"><img loading=\"lazy\" decoding=\"async\" width=\"637\" height=\"252\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-55.png\" alt=\"Chunk\uc218\uc640 Job\uc218\uac00 \ub3d9\uc77c\ud55c \uacbd\uc6b0\" class=\"wp-image-11869\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-55.png 637w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-55-300x119.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-55-18x7.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-55-24x9.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-55-36x14.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-55-48x19.png 48w\" sizes=\"auto, (max-width: 637px) 100vw, 637px\" \/><\/a><figcaption>Cuando el n\u00famero de fragmentos y el n\u00famero de trabajos son los mismos<\/figcaption><\/figure>\n<\/div>\n\n\n<p><strong>\u25bc Cuando la cantidad de trabajos es menor que la cantidad de fragmentos (Chunk &gt; Job)<\/strong><\/p>\n\n\n\n<p>Cuando se completa el trabajo del fragmento al que se asigna el trabajo, el fragmento que a\u00fan no se ha ejecutado se asigna y ejecuta de forma continua. A continuaci\u00f3n se muestra un ejemplo cuando hay 3 trabajos.<\/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-56.png\"><img loading=\"lazy\" decoding=\"async\" width=\"648\" height=\"252\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-56.png\" alt=\"Chunk\uc218\ubcf4\ub2e4 Job\uc218\uac00 \uc801\uc740 \uacbd\uc6b0 (Chunk &gt; Job)\" class=\"wp-image-11870\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-56.png 648w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-56-300x117.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-56-18x7.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-56-24x9.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-56-36x14.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-56-48x19.png 48w\" sizes=\"auto, (max-width: 648px) 100vw, 648px\" \/><\/a><figcaption>Cuando el n\u00famero de trabajos es menor que el n\u00famero de fragmentos (Chunk &gt; Job)<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Adem\u00e1s, si la cantidad de trabajos es mayor que la cantidad de fragmentos (Chunk &lt; Job), tambi\u00e9n es posible, pero es mejor no aplicarlo porque los fragmentos no se asignan y se pueden usar recursos innecesarios manteniendo el estado de ejecuci\u00f3n. .<\/p>\n\n\n\n<p>* Referencia: <a href=\"https:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS67339\" target=\"_blank\" rel=\"noreferrer noopener\">DBMS_PARALLEL_EXECUTE Chunk por ROWID Ejemplo<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<p>Hasta ahora, hemos analizado el m\u00e9todo de partici\u00f3n ROWID. A continuaci\u00f3n, mire el m\u00e9todo de partici\u00f3n de la columna N\u00daMERO.<\/p>","protected":false},"excerpt":{"rendered":"<p>Est\u00e1 relacionado con la confirmaci\u00f3n detallada de la divisi\u00f3n de unidades de trabajo. Examinamos qu\u00e9 tan uniformemente se divide el resultado de dividir las unidades de trabajo (trozos) por ROWID, si la suma de las unidades de trabajo es igual al total y no hay omisiones, y la correlaci\u00f3n entre el n\u00famero de unidades de trabajo y el n\u00famero de trabajos. Esta es una continuaci\u00f3n del art\u00edculo anterior. 2. Caso de procesamiento paralelo de partici\u00f3n ROWID 2.5. Dividir unidades de trabajo...<\/p>","protected":false},"author":1,"featured_media":11866,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[242,243,244,245,246],"class_list":["post-11864","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 v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>2.5. \uc791\uc5c5 \ub2e8\uc704 \ubd84\ud560 \uc0c1\uc138 \ud655\uc778 (DBMS_PARALLEL_EXECUTE) - \uc0dd\uc0b0\uc131 Skill<\/title>\n<meta name=\"description\" content=\"\uc791\uc5c5 \ub2e8\uc704 \ubd84\ud560 \uc0c1\uc138 \ud655\uc778 \uad00\ub828 \ub0b4\uc6a9\uc774\ub2e4. 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