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3250 - 利用多行处理技术提升 Db2 性能.pdf

上传人: 竿*** 编号:982855 2025-11-29 49页 1.89MB

1、Orlando,FLOctober 69IBM TechXchange 2025 Session code-3250Chris Crone Broadcom Distinguished EngineerEnhance Db2 Performance with Mult-Row Processing TechniquesHow I Tested DisclaimerIBM TechXchange|2025 IBM Corporation2Z16 60X/z15 60 x Dedicated Performance Sysplex/Datasharing GPOnly used z16 2 GCP

2、s3 zIIPs1 TB Memory(Generous Bufferpools)Db2 13 FL V13R1M506Dedicated DS8K DASD(only cabled to Performance LPARs)Db2 Implicit Tables Non-PartitionedIndexes added/deleted to emphasize overhead or for needed functionData Generated from HIS is repetitiveTestcases with“no business logic”,“no think time”

3、will likely overestimate real world benefits Your Results WILL VARYWILL VARYTEST,TEST,TESTTEST,TEST,TESTAgenda 01 02 03 04 05 06 Overview Multi-Row FETCH Multi-Row INSERT SELECT FROM MERGE(aka UPSERT)ConclusionIBM TechXchange|2025 IBM CorporationOverviewStandard INSERT and FETCH process one row of d

4、ata at a timeDELETE,UPDATE,and INSERT with SUBSELECT can process one or more rows of data(Not really the subject of this presentation)Db2 also supports a plethora of other Multi-Row processing Multi-Row FETCH Multi-Row INSERT SELECT FROM(INSERT,UPDATE,DELETE,MERGE)MERGEMulti-Row Processing can save

5、significant CPU and Elapsed TimeLets Get StartedAgenda 01 02 03 04 05 06 Overview Multi-Row FETCH Multi-Row INSERT SELECT FROM MERGE(aka UPSERT)ConclusionIBM TechXchange|2025 IBM CorporationDECLARE CURSORDECLARE CURSORcursor-name names the cursorNO SCROLL/SCROLL Controls cursor scrollabilityAvoid AS

6、ENSITIVE(default)due to ambiguityholdability WITH/WITHOUT HOLD controls cursorbehavior on COMMITreturnability WITH/WITHOUT RETURN controls if the cursor is to be returned from a procedure as a result setrowset-positioning WITH/WITHOUT ROWSET POSITIONING Specifies if multiple rows can be accessed as

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根据报告的内容,全文主要内容概括如下: 1. **Db2性能提升**:通过多行处理技术,如多行FETCH、INSERT、SELECT FROM和MERGE,可以显著提高Db2数据库的性能。 2. **多行FETCH**:允许一次从数据库中检索多行数据,提高效率,尤其适用于分布式应用。 3. **多行INSERT**:支持批量插入数据,减少CPU和执行时间,提高性能。 4. **MERGE(即UPSERT)**:结合了INSERT和UPDATE操作,根据数据是否存在进行相应的插入或更新。 5. **性能数据**:例如,多行FETCH在处理大量数据时比单行FETCH更高效。 6. **编程复杂性**:多行处理技术可能使编程更加复杂,但通常能简化逻辑。 7. **适用性**:这些技术适用于需要大量数据处理的应用,但性能提升取决于Db2和应用程序逻辑的比例。
** "Db2多行处理,性能提升秘诀?" ** "如何通过Db2的多行技术,让数据处理速度翻倍?" ** "MERGE操作,数据库的“瑞士军刀”?" ** "Db2的MERGE功能,如何简化复杂的数据操作?"
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