HIGHLIGHTS

 

 

 

--------------------------

 

THREAD TYPE

: ALLIED

 

TERM.CONDITION: NORMAL

 

INVOKE REASON : DEALLOC

 

COMMITS

:

2

 

ROLLBACK

:

0

 

INCREM.BINDS

:

0

 

UPDATE/COMMIT :

0.00

 

SYNCH I/O AVG.:

0.002903

D

PROGRAMS

:

0

 

PARALLELISM

: CP

 

Figure 65. DB2 PM Accounting Highlights

12.1.3.2 Asynchronous Read I/O

B in Figure 64 on page 145 shows 143669 asynchronous reads. This corresponds to the sum of all prefetch operations (sequential, dynamic and list prefetch). The suspend time for these reads is 29 minutes and 59.155952 seconds (B in Figure 64). The total number of prefetch requests is not necessarily equal to the total number of prefetch I/Os, which is reported at DB2 subsystem level in the statistics record.

J in Figure 66 on page 147 shows that 5.94 million pages were read asynchronously. The suspend time for reading these pages is 29 minutes and 59.155952 seconds (B in Figure 64).This means that, on average, the program had to wait 0.3 milliseconds for each page. The low buffer hit ratio (E in Figure 66) means that most pages had to be read from disk (or cache).

The total number of prefetch requests made by the query is G + H + I. In this example, it is 190714 requests. Of these, 143669 caused a suspension; see B in Figure 64. This means that 47045 (190714-143669) prefetch requests did not cause the application program to wait; they have a response time of zero.

The average wait of all prefetch operations is the total wait time (B in Figure 64) divided by the total number of prefetch requests (G + H + I). This is 9.4 milliseconds.

The number of pages read in each prefetch request can be calculated as the total number of pages read asynchronously (J in Figure 66 on page 147) divided by the total number of prefetch requests (G + H + I). In this example, this gives 31.2 pages (5943947/190714). This is very close to the maximum (32 pages) for these buffer pools.

12.1.3.3 I/O Rate

The query did 19559 synchronous reads (F in Figure 66 on page 147) and 190714 prefetch requests (G + H + I in Figure 66). This gives a total of 210273 I/O requests. For an interval of 37 minutes 40.4 seconds (A in Figure 57 on page 142) this gives 93.0 I/O per second.

146Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 manual Asynchronous Read I/O, 12.1.3.3 I/O Rate, Programs Parallelism

5695-DF1, 5655-DB2 specifications

IBM 5655-DB2 and 5695-DF1 are significant components within the IBM software ecosystem, predominantly focusing on data management and integration solutions. These offerings cater primarily to enterprise environments that require robust database management systems and associated frameworks to maintain and manipulate data efficiently.

IBM 5655-DB2 is a well-known relational database management system (RDBMS) that excels in managing large volumes of structured data. Its architecture is designed to support high availability, scalability, and performance, crucial for businesses operating in today’s data-driven world. Some of its main features include advanced indexing capabilities, support for complex queries, and dynamic workload management. Additionally, it provides strong concurrency controls, which enable multiple users to access and manipulate data simultaneously without compromising data integrity.

One of the key characteristics of DB2 is its support for various data types, including JSON and XML, making it versatile for modern applications that generate data in diverse formats. It also features robust security mechanisms to protect sensitive data, aligning with compliance standards across industries. Integration with analytics tools further allows businesses to derive insights from their data, enhancing decision-making processes.

On the other hand, IBM 5695-DF1, also known as the InfoSphere DataStage, is a powerful data integration tool that facilitates the extraction, transformation, and loading (ETL) of data from various sources to target systems. It empowers organizations to streamline their data flows, ensuring that clean, consistent information is available for analysis and operational use. Key features of 5695-DF1 include a user-friendly graphical interface that enhances developer productivity and a rich set of connectors for numerous data sources, enabling seamless data integration.

DataStage also supports real-time data integration, allowing businesses to keep their data synchronized across multiple platforms. Its parallel processing capabilities dedicatedly optimize performance, enabling organizations to handle vast datasets efficiently. It incorporates data quality tools that help in validating and cleansing data before it is used for decision-making processes.

Both IBM 5655-DB2 and 5695-DF1 are part of a broader strategy to accommodate the evolving landscape of data management. Businesses leverage these technologies to enhance their data architectures, fostering agility and competitive advantage in their respective markets. Their integration capabilities, along with a focus on security and scalability, position them as vital assets in modern enterprise environments. Whether managing critical data within a database or ensuring seamless data flow across systems, these IBM offerings provide a comprehensive approach to handling complex data challenges.