{"id":11852,"date":"2022-10-02T10:48:37","date_gmt":"2022-10-02T01:48:37","guid":{"rendered":"https:\/\/prodskill.com\/?p=11852"},"modified":"2022-10-04T23:53:04","modified_gmt":"2022-10-04T14:53:04","slug":"oracle-dbms-parallel-execute-2-chunk-by-rowid","status":"publish","type":"post","link":"https:\/\/prodskill.com\/es\/oracle-dbms-parallel-execute-2-chunk-by-rowid\/","title":{"rendered":"2. Caso de procesamiento paralelo de partici\u00f3n ROWID (DBMS_PARALLEL_EXECUTE)"},"content":{"rendered":"<p>Echemos un vistazo al caso del procesamiento paralelo del m\u00e9todo de partici\u00f3n ROWID usando Oracle DBMS_PARALLEL_EXECUTE.<\/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-1-overview\/\">1. Descripci\u00f3n general del procesamiento paralelo de trabajos DML (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-2-chunk-by-rowid\/#2_ROWID_%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\" >2. Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n ROWID<\/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-2-chunk-by-rowid\/#21_ROWID_%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%9E%91%EC%97%85_%EC%83%9D%EC%84%B1\" >2.1. Crear trabajos de procesamiento paralelo con particiones ROWID<\/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-2-chunk-by-rowid\/#22_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84_%EB%B6%84%ED%95%A0\" >2.2. 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-2-chunk-by-rowid\/#23_%EC%9E%91%EC%97%85_%EC%8B%A4%ED%96%89\" >2.3. 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-2-chunk-by-rowid\/#24_%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\" >2.4. Confirmar la finalizaci\u00f3n de la tarea y eliminar<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"2._ROWID_\ubd84\ud560_\ubc29\uc2dd\uc758_\ubcd1\ub82c_\ucc98\ub9ac_\uc0ac\ub840\"><span class=\"ez-toc-section\" id=\"2_ROWID_%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>2. Caso de procesamiento paralelo del m\u00e9todo de divisi\u00f3n ROWID<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2.1._\uc791\uc5c5_\uc0dd\uc131\"><span class=\"ez-toc-section\" id=\"21_ROWID_%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%9E%91%EC%97%85_%EC%83%9D%EC%84%B1\"><\/span>2.1. Crear trabajos de procesamiento paralelo con particiones ROWID<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>CREAR_TAREA( ) para crear la 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  \u200b\u200bDBMS_PARALLEL_EXECUTE.CREATE_TASK(TASK_NAME => 'DPE_TEST(BY ROWID)');\nEND;\n\/<\/pre>\n\n\n\n<p>El resultado de la creaci\u00f3n del trabajo se puede comprobar de la siguiente manera.<\/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 \uc0dd\uc131 \ud655\uc778\nSELECT * FROM USER_PARALLEL_EXECUTE_TASKS;<\/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-43.png\"><img loading=\"lazy\" decoding=\"async\" width=\"715\" height=\"609\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-43.png\" alt=\"1\ub2e8\uacc4: \uc791\uc5c5 \uc0dd\uc131 \ud655\uc778\" class=\"wp-image-11853\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-43.png 715w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-43-300x256.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-43-14x12.png 14w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-43-24x20.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-43-36x31.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-43-48x41.png 48w\" sizes=\"auto, (max-width: 715px) 100vw, 715px\" \/><\/a><figcaption>Paso 1: Confirmar la creaci\u00f3n de la tarea<\/figcaption><\/figure>\n<\/div>\n\n\n<p>A partir del resultado anterior, se puede confirmar que la Tarea se ha creado y el ESTADO es CREADO.<\/p>\n\n\n\n<p>Como referencia, el ESTADO de una tarea tiene valores de CHUNKED, CHUNKING, CHUNKING_FAILED, CRASHED, CREATED, FINISHED, FINISHED_WITH_ERROR, PROCESSING, y cada significado es el siguiente.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>CHUNKED: fragmento creado, a\u00fan no asignado a una tarea<\/li><li>CHUNKING: creando trozos<\/li><li>CHUNKING_FAILED: Error al crear fragmento<\/li><li>CRASHED: se produjo un bloqueo de la base de datos o del proceso del trabajo durante la ejecuci\u00f3n de la tarea y el error no se registr\u00f3 ni finaliz\u00f3.<\/li><li>RELACIONADO: Tarea creada (todav\u00eda no se ha creado ning\u00fan fragmento)<\/li><li>FINALIZADO: todos los fragmentos completados sin errores<\/li><li>FINISHED_WITH_ERROR: Todos los fragmentos se completaron, pero ocurrieron algunos errores<\/li><li>PROCESANDO: Tosk ha comenzado a ejecutarse, algunos de los fragmentos est\u00e1n en progreso o completos<\/li><\/ul>\n\n\n\n<p>* Referencia: <a href=\"http:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS67333\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS67333<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2.2._\uc791\uc5c5_\ub2e8\uc704_\ubd84\ud560\"><span class=\"ez-toc-section\" id=\"22_%EC%9E%91%EC%97%85_%EB%8B%A8%EC%9C%84_%EB%B6%84%ED%95%A0\"><\/span>2.2. unidad de trabajo dividida<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>CREATE_CHUNKS_BY_ROWID( ,<table> ,<table> , , ) para dividir la unidad de trabajo.<\/p>\n\n\n\n<p>es un tipo BOOLEAN, si es VERDADERO significa recuento de filas y FALSO significa recuento de bloques.<\/p>\n\n\n\n<p>Ejecute lo siguiente para crear fragmentos que dividan el recuento de filas de la tabla Z_DPE_TEST_TAB en 10\u00a0000 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>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  \u200b\u200bFROM USER_PARALLEL_EXECUTE_CHUNKS\n \u200bWHERE TASK_NAME = 'DPE_TEST(BY 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-44.png\"><img loading=\"lazy\" decoding=\"async\" width=\"715\" height=\"609\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-44.png\" alt=\"2\ub2e8\uacc4: \uc791\uc5c5 \ubd84\ud560 \uc0c1\ud0dc \ud655\uc778\" class=\"wp-image-11854\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-44.png 715w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-44-300x256.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-44-14x12.png 14w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-44-24x20.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-44-36x31.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-44-48x41.png 48w\" sizes=\"auto, (max-width: 715px) 100vw, 715px\" \/><\/a><figcaption>Paso 2: Comprobar el estado de divisi\u00f3n de tareas<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Se puede confirmar que el ESTADO de cada fragmento en el momento de la divisi\u00f3n es SIN ASIGNAR. Como referencia, el ESTADO del fragmento tiene valores de NO ASIGNADO, ASIGNADO, PROCESADO y PROCESADO_CON_ERROR, y cada significado es el siguiente.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>SIN ASIGNAR: fragmento creado, a\u00fan no asignado a una tarea<\/li><li>ASIGNADO: el fragmento se asigna a la tarea y se ejecuta<\/li><li>PROCESADO: La operaci\u00f3n se complet\u00f3 sin errores<\/li><li>PROCESSED_WITH_ERROR: La operaci\u00f3n se complet\u00f3, pero ocurri\u00f3 un error durante la ejecuci\u00f3n<\/li><\/ul>\n\n\n\n<p>* Referencia:&nbsp;<a href=\"http:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS67333\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS67333<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2.3._\uc791\uc5c5_\uc2e4\ud589\"><span class=\"ez-toc-section\" id=\"23_%EC%9E%91%EC%97%85_%EC%8B%A4%ED%96%89\"><\/span>2.3. ejecuci\u00f3n de trabajo<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>EJECUTAR_TAREA( , , , ) para ejecutar la tarea.<\/p>\n\n\n\n<p>Aqu\u00ed, LANGUAGE_FLAG significa la versi\u00f3n est\u00e1ndar para que Oracle procese SQL_STMT, y DBMS_SQL.NATIVE se puede usar como predeterminado.<\/p>\n\n\n\n<p>Como referencia, el contenido del Documento de Oracle es el siguiente:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>V6 (o 0) especifica el comportamiento de la versi\u00f3n 6<\/li><li>NATIVO (o 1) especifica el comportamiento normal de la base de datos a la que est\u00e1 conectado el programa<\/li><li>V7 (o 2) especifica el comportamiento de la versi\u00f3n 7 de la base de datos de Oracle<\/li><\/ul>\n\n\n\n<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>\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: \uc791\uc5c5 \uc2e4\ud589\uc804\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-45.png\"><img loading=\"lazy\" decoding=\"async\" width=\"715\" height=\"609\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-45.png\" alt=\"3\ub2e8\uacc4: \ub3d9\uc2dc \uc2e4\ud589\ud604\ud669 \ud655\uc778(\uc791\uc5c5 \uc2e4\ud589\uc804)\" class=\"wp-image-11855\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-45.png 715w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-45-300x256.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-45-14x12.png 14w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-45-24x20.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-45-36x31.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-45-48x41.png 48w\" sizes=\"auto, (max-width: 715px) 100vw, 715px\" \/><\/a><figcaption>Paso 3: verificar el estado de ejecuci\u00f3n simult\u00e1nea (antes de la ejecuci\u00f3n de la tarea)<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Si verifica el COUNT para cada AUDSID antes de ejecutar la tarea, puede ver que todos los datos est\u00e1n configurados como nulos y a\u00fan no se han ejecutado.<\/p>\n\n\n\n<p>Ahora vamos a ejecutar 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=\"\">-- 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  ROWID BETWEEN :START_ID AND :END_ID';\n\n  DBMS_PARALLEL_EXECUTE.RUN_TASK(TASK_NAME      => 'DPE_TEST(BY ROWID)',\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 especifica el \u00e1mbito de ejecuci\u00f3n con dos variables de vinculaci\u00f3n: START_ID y: END_ID. Si este nombre de variable se usa de manera diferente, se producir\u00e1 un error, as\u00ed que aseg\u00farese de usar este nombre.<\/p>\n\n\n\n<p>El SQL ejecutado aqu\u00ed se escribe para verificar qu\u00e9 sesi\u00f3n actualiz\u00f3 la fila actual actualizando un valor aleatorio en la columna VAL y actualizando el valor actual de SESSIONID en la columna AUDSID para realizar pruebas.<\/p>\n\n\n\n<p>Como referencia, la columna AUDSID tiene el mismo significado que V$SESSION.AUDSID. Si cada operaci\u00f3n de unidad de fragmento lleva mucho tiempo, la supervisi\u00f3n de la sesi\u00f3n se puede realizar consultando V$SESSION con AUDSID.<\/p>\n\n\n\n<p>Si ejecuta el siguiente SQL durante la ejecuci\u00f3n, puede verificar cu\u00e1ntas filas se actualizan en cu\u00e1ntas sesiones.<\/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: \uc791\uc5c5 \uc2e4\ud589\uc911\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-large\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"529\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-1024x529.png\" alt=\"3\ub2e8\uacc4: \ub3d9\uc2dc \uc2e4\ud589\ud604\ud669 \ud655\uc778(\uc791\uc5c5 \uc2e4\ud589\uc911)\" class=\"wp-image-11856\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-1024x529.png 1024w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-300x155.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-768x397.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-18x9.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-24x12.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-36x19.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46-48x25.png 48w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-46.png 1179w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption>Paso 3: verificar el estado de ejecuci\u00f3n simult\u00e1nea (ejecuci\u00f3n de tareas)<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Comprobemos el progreso de cada bloque en el que se divide el trabajo, no la unidad de sesi\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=\"\">-- \uc791\uc5c5\uc758 Chunk\ubcc4 \uc9c4\ud589\uc0c1\ud669\/\uc644\ub8cc \ud655\uc778\nSELECT *\n  FROM USER_PARALLEL_EXECUTE_CHUNKS\nWHERE TASK_NAME = 'DPE_TEST(BY ROWID)';<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"529\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-1024x529.png\" alt=\"3\ub2e8\uacc4: \uc791\uc5c5\uc758 Chunk\ubcc4 \uc9c4\ud589\uc0c1\ud669\/\uc644\ub8cc \ud655\uc778\" class=\"wp-image-11857\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-1024x529.png 1024w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-300x155.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-768x397.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-18x9.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-24x12.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-36x19.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47-48x25.png 48w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-47.png 1179w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption>Paso 3: verifique el progreso\/finalizaci\u00f3n de cada parte de la tarea<\/figcaption><\/figure>\n<\/div>\n\n\n<p>En el resultado anterior, puede ver que ESTADO cambia a PROCESADO y se administran START_TS (hora de inicio) y END_TS (hora de finalizaci\u00f3n).<\/p>\n\n\n\n<p>Para verificar el progreso por estado de fragmento, ejecute 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=\"\">-- Chunk\uc758 \uc0c1\ud0dc\ubcc4 \uc9c4\ud589\uc0c1\ud669\nSELECT STATUS, COUNT(*)\n  FROM USER_PARALLEL_EXECUTE_CHUNKS\n WHERE TASK_NAME = 'DPE_TEST(BY ROWID)'\nGROUP BY STATUS;<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"529\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-1024x529.png\" alt=\"3\ub2e8\uacc4: Chunk\uc758 \uc0c1\ud0dc\ubcc4 \uc9c4\ud589\uc0c1\ud669 \ud655\uc778\" class=\"wp-image-11858\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-1024x529.png 1024w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-300x155.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-768x397.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-18x9.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-24x12.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-36x19.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48-48x25.png 48w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-48.png 1179w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption>Paso 3: Comprobar el progreso de los fragmentos por estado<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Del resultado anterior, se puede confirmar que se han completado 172 fragmentos en estado PROCESADO. Dado que la imagen se captur\u00f3 despu\u00e9s de completar el trabajo, solo se registr\u00f3 un estado. Si la operaci\u00f3n lleva mucho tiempo, puede verificar la cantidad de fragmentos para cada estado.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2.4._\uc791\uc5c5_\uc644\ub8cc_\ud655\uc778_\ubc0f_\uc0ad\uc81c\"><span class=\"ez-toc-section\" id=\"24_%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>2.4. 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<p>Como referencia, si no lo elimina, se producir\u00e1 un error ORA-29497: nombre de tarea duplicado (DUPLICATE_TASK_NAME) al crear una tarea con el mismo TASK_NAME m\u00e1s tarde.<\/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 \uc644\ub8cc \ud655\uc778\nSELECT *\n  FROM USER_PARALLEL_EXECUTE_TASKS;<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"529\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-1024x529.png\" alt=\"\uc791\uc5c5 \uc644\ub8cc \ud655\uc778\" class=\"wp-image-11859\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-1024x529.png 1024w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-300x155.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-768x397.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-18x9.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-24x12.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-36x19.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49-48x25.png 48w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-49.png 1179w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption>Confirmar la finalizaci\u00f3n de la tarea<\/figcaption><\/figure>\n<\/div>\n\n\n<p>A partir del resultado anterior, se puede confirmar que el ESTADO de la tarea se ha completado con FINALIZADO.<\/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\nBEGIN\n  DBMS_PARALLEL_EXECUTE.DROP_TASK(TASK_NAME => 'DPE_TEST(BY ROWID)');\nEND;\n\/<\/pre>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"529\" src=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-1024x529.png\" alt=\"4 \ub2e8\uacc4: \uc791\uc5c5 \uc644\ub8cc \ud655\uc778 \ubc0f \uc791\uc5c5 \uc0ad\uc81c\" class=\"wp-image-11860\" srcset=\"https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-1024x529.png 1024w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-300x155.png 300w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-768x397.png 768w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-18x9.png 18w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-24x12.png 24w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-36x19.png 36w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50-48x25.png 48w, https:\/\/prodskill.com\/wp-content\/uploads\/2022\/10\/image-50.png 1179w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption>Paso 4: verifique la finalizaci\u00f3n del trabajo y elimine el trabajo<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Si revisa la vista USER_PARALLEL_EXECUTE_TASKS nuevamente despu\u00e9s de ejecutar DROP_TASK, puede ver que la tarea se elimin\u00f3.<\/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 visto un caso simple de procesamiento paralelo del m\u00e9todo de partici\u00f3n ROWID.<\/p>\n\n\n\n<p>A continuaci\u00f3n, observamos qu\u00e9 tan uniformes son las unidades de trabajo divididas por ROWID, si no hay omisiones y cu\u00e1l es la correlaci\u00f3n entre el n\u00famero de fragmentos y el n\u00famero de trabajos (paralelismo).<\/p>","protected":false},"excerpt":{"rendered":"<p>Usando Oracle DBMS_PARALLEL_EXECUTE, veremos el caso de procesamiento paralelo del m\u00e9todo de partici\u00f3n ROWID. Esta es una continuaci\u00f3n del art\u00edculo anterior. 1. Descripci\u00f3n general del procesamiento en paralelo de trabajos DML (DBMS_PARALLEL_EXECUTE) 2. Caso de procesamiento en paralelo utilizando partici\u00f3n ROWID 2.1. Cree una tarea de procesamiento paralelo con particiones ROWID CREATE_TASK( ) para crear una tarea. El resultado de crear un trabajo se puede comprobar de la siguiente manera. Del resultado anterior, se puede ver que la tarea se crea y el ESTADO es CREADO. Tenga en cuenta que,...<\/p>","protected":false},"author":1,"featured_media":11853,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[242,243,244,245,246],"class_list":["post-11852","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>2. 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