{"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\/de\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/","title":{"rendered":"3. NUMBER Spaltenpartitionsmethode Parallelverarbeitungsfall (DBMS_PARALLEL_EXECUTE)"},"content":{"rendered":"<p>Schauen wir uns einen Fall der Parallelverarbeitung der NUMBER-Spaltenpartitionierungsmethode mit Oracle DBMS_PARALLEL_EXECUTE an. Es umfasst die Erstellung von Aufgaben, die Aufteilung von Arbeitseinheiten, die Ausf\u00fchrung von Aufgaben, die Best\u00e4tigung des Abschlusses von Aufgaben und das L\u00f6schen.<\/p>\n\n\n\n<p>Dies ist eine Fortsetzung des vorherigen Artikels.<\/p>\n\n\n\n<p><a href=\"https:\/\/prodskill.com\/de\/oracle-dbms-parallel-execute-2-5-chunk-by-rowid-verify\/\">2.5. Detailpr\u00fcfung der Aufteilung der Arbeitseinheiten (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;Inhaltsverzeichnis&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=\"Inhaltsverzeichnis umschalten\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Umschalten<\/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\/de\/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. NUMBER Column Split Methode Parallelverarbeitungsfall<\/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\/de\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/#31_%EC%9E%91%EC%97%85_%EC%83%9D%EC%84%B1\" >3.1. Arbeitsplatz schaffen<\/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\/de\/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. Geteilte Arbeitseinheit<\/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\/de\/oracle-dbms-parallel-execute-3-chunk-by-number-column\/#33_%EC%9E%91%EC%97%85_%EC%8B%A4%ED%96%89\" >3.3. Job ausgef\u00fchrt<\/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\/de\/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. Aufgabenabschluss best\u00e4tigen und l\u00f6schen<\/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. NUMBER Column Split Methode Parallelverarbeitungsfall<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Schauen wir uns ein Beispiel f\u00fcr die Divisionsmethode durch NUMBER Column an. Sie \u00e4hnelt fast der ROWID-Methode, die folgenden Elemente unterscheiden sich jedoch geringf\u00fcgig.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Verwenden Sie beim Teilen von Arbeitseinheiten die Prozedur CREATE_CHUNKS_BY_NUMBER_COL.<\/li><li>Beim Ausf\u00fchren einer Aufgabe wird die Spalte NUMBER in der WHERE-Klausel der SQL-Anweisung verwendet.<\/li><\/ul>\n\n\n\n<p>* Referenzdokumentation von Oracle: <a href=\"https:\/\/docs.oracle.com\/cd\/E11882_01\/appdev.112\/e40758\/d_parallel_ex.htm#ARPLS67355\" target=\"_blank\" rel=\"noreferrer noopener\">DBMS_PARALLEL_EXECUTE \u2013 CREATE_CHUNKS_BY_NUMBER_COL Prozedur<\/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. Arbeitsplatz schaffen<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Es gibt keinen Unterschied darin, wie Sie eine Aufgabe erstellen.<\/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. Geteilte Arbeitseinheit<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>CREATE_CHUNKS_BY_NUMBER_COL( ,<table> ,<table> ,<table> , ), um die Arbeitseinheit zu teilen.<\/p>\n\n\n\n<p>F\u00fchren Sie die folgenden Schritte aus, um einen Block zu erstellen, der basierend auf der Spalte \u201eID\u201c der Tabelle Z_DPE_TEST_TAB in 10.000 F\u00e4lle unterteilt ist.<\/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>Lassen Sie uns den Teilungsstatus der Arbeitseinheit \u00fcberpr\u00fcfen.<\/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>Arbeitsteilungsstatus<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Wie Sie den obigen Ergebnissen grob entnehmen k\u00f6nnen, wurde jeder Block in 10.000 Zeilen unterteilt. (Die Beispieltabelle wurde mit ID-Werten unter Verwendung fortlaufender Nummern von 1 bis 1 Million erstellt.)<\/p>\n\n\n\n<p>Als Referenz: Beim Teilen einer ROWID (CREATE_CHUNKS_BY_ROWID-Prozedur) werden Werte in START_ROWID und END_ROWID erstellt, und beim Teilen einer NUMBER-Spalte (CREATE_CHUNKS_BY_NUMBER_COL) werden Werte in START_ID und END_ID erstellt.<\/p>\n\n\n\n<p>\u00dcberpr\u00fcfen wir, ob die Arbeitseinheiten (Chunks) gleichm\u00e4\u00dfig verteilt sind.<\/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>Achten Sie auf eine gleichm\u00e4\u00dfige Arbeitsteilung<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Wenn Sie die Anzahl der F\u00e4lle in der Tabelle anhand der START_ID und END_ID jedes Blocks \u00fcberpr\u00fcfen, ist sie gut in 10.000 F\u00e4lle unterteilt.<\/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>\u00dcberpr\u00fcfen Sie die Summe der Blockzeilenanzahl<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Die Gesamtzeilenanzahl aller Bl\u00f6cke betr\u00e4gt 1.000.000, was der Gesamtzahl der Daten entspricht.<\/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. Job ausgef\u00fchrt<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>RUN_TASK( , , , ), um die Aufgabe auszuf\u00fchren. Die Aufgabenausf\u00fchrungsmethode ist dieselbe wie die ROWID-Methode.<\/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>Das ausgef\u00fchrte SQL ist fast das gleiche wie beim ROWID-Partitionsfall, der Unterschied besteht jedoch darin, dass die Bedingungsspalte in der WHERE-Klausel nicht \u201eROWID\u201c, sondern \u201eID\u201c ist, was die festgelegte NUMBER-Spalte ist.<\/p>\n\n\n\n<p>Schauen wir uns die Status\u00e4nderungen des Chunks w\u00e4hrend der Ausf\u00fchrung an.<\/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>Bei laufender Arbeit wird der Status des Chunks in \u201eUNASSIGNED -&gt; ASSIGNED -&gt; PROCESSED\u201c ge\u00e4ndert und wie folgt verarbeitet.<\/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>\u00dcberpr\u00fcfen Sie den Chunk-Status, w\u00e4hrend die Aufgabe ausgef\u00fchrt wird<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Wenn die Aufgabe abgeschlossen ist, wird der Status aller Chunks als BEARBEITET angezeigt.<\/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>\u00dcberpr\u00fcfen Sie den Status des Aufgabenabschlussblocks<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Nach Abschluss der Aufgabe k\u00f6nnen Sie \u00fcberpr\u00fcfen, wie viele Zeilen in welchen Sitzungen aktualisiert wurden, indem Sie die folgende SQL ausf\u00fchren.<\/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>\u00dcberpr\u00fcfen Sie die Anzahl der pro Sitzung verarbeiteten Daten<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Aus den obigen Inhalten k\u00f6nnen wir Folgendes erkennen:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Insgesamt wurden 10 Jobsitzungen durchgef\u00fchrt.<\/li><li>Jeder Jobsitzung wurden 10.000 Chunks zugewiesen, meist jeweils 10.<\/li><li>AUDSID: 71767 Jobsitzung wurde mit 9 zugewiesenen Bl\u00f6cken (90.000 F\u00e4lle) ausgef\u00fchrt, und AUDSID: 71773 Jobsitzung wurde mit 11 Bl\u00f6cken (110.000 F\u00e4lle) zugewiesen und ausgef\u00fchrt.<\/li><li>Mit anderen Worten: Die Anzahl der RUN_TASK ist gr\u00f6\u00dfer als die Gesamtanzahl der Chunks (hier 100). Wenn dieser klein ist, werden einem Job mehrere Bl\u00f6cke zugewiesen und ausgef\u00fchrt, und die Anzahl der Ausf\u00fchrungen kann variieren, selbst wenn der Grad der Aufteilung der Bl\u00f6cke gleichm\u00e4\u00dfig ist.<\/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. Aufgabenabschluss best\u00e4tigen und l\u00f6schen<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>DROP_TASK( ), um den Auftrag zu l\u00f6schen.<\/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>Best\u00e4tigen Sie den Abschluss der Aufgabe<\/figcaption><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<p>Bisher haben wir uns Beispiele f\u00fcr die Parallelverarbeitung mit der NUMBER-Spaltendivisionsmethode angesehen. Als n\u00e4chstes schauen wir uns ein Beispiel einer Partitionierung auf Basis von benutzerdefiniertem SQL an.<\/p>","protected":false},"excerpt":{"rendered":"<p>Werfen wir einen Blick auf den Fall von NUMBER Column Partitioning Parallel Processing mit Oracle DBMS_PARALLEL_EXECUTE. Es umfasst die Joberstellung, die Aufteilung von Jobeinheiten, die Jobausf\u00fchrung, die Jobabschlussbest\u00e4tigung und das L\u00f6schen. Dies ist eine Fortsetzung des vorherigen Artikels. 2.5. \u00dcberpr\u00fcfen Sie die Details der Aufteilung der Arbeitseinheit (DBMS_PARALLEL_EXECUTE) 3. Parallelverarbeitungsbeispiel der Aufteilungsmethode durch NUMBER-Spalte Sehen wir uns ein Beispiel der Aufteilungsmethode durch NUMBER-Spalte an. ROWID-Methode und fast ...<\/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 v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>3. 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