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Measures reported by Db2DPFSQLNetTest
The Database Partitioning Feature (DPF) is available on DB2 UDB Enterprise Server Edition (ESE). With DPF your database is scalable as you can add new machines and spread your database across them. This means more CPUs, more memory and more disks from each of the additional machines for your database! DB2 UDB ESE with DPF is ideal to manage data warehousing, data mining and online analytical processing (OLAP) workloads. It can also work well with online transaction processing (OLTP) workloads.
When a database is partitioned, you split your database into different independent parts, each consisting of its own data, configuration files, indexes and transaction logs. Each of these parts is a database partition. You can assign multiple partitions to a single physical machine. These are called ‘logical partitions’ and they share the resources of the machine.When a database is partitioned, you split your database into different independent parts, each consisting of its own data, configuration files, indexes and transaction logs. Each of these parts is a database partition. You can assign multiple partitions to a single physical machine. These are called ‘logical partitions’ and they share the resources of the machine. To monitor the availability and responsiveness of the server, and collects statistics pertaining to the traffic into and out of the database server, eG Enterprise offers the Db2DPFSQLNetTest.
This tests monitor the availability and responsiveness of the server, and collects statistics pertaining to the traffic into and out of the database server.
Outputs of the test : One set of results for the DB2 UDB server being monitored
The measures made by this test are as follows:
| Measurement |
Description |
Measurement Unit |
Interpretation |
| Availability |
Indicates the availability of the server. |
Percent |
The availability is 100% when the server is responding to a request and 0% when it is not. Availability problems may be caused by a misconfiguration/malfunctioning of the database server, or because the server has not been started. The availability is 100% when the instance is responding to a request and 0% when it is not. Availability problems may be caused by a misconfiguration/malfunctioning of the database instance, or because the instance is using an invalid user account. Besides the above, this measure will report that the server is unavailable even if a connection to the database instance is unavailable, or if a query to the database fails. In this case, you can check the values of the DB connection availability and Query processor availability measures to know what is exactly causing the database instance to not respond to requests - is it owing to a connection unavailability? or is it due to a query failure? |
| Response_time |
The time taken by the database to respond to a user query. This is the sum total of the connection time and query execution time. |
Seconds |
A sudden increase in response time is indicative of a bottleneck at the database server. |
| Conn_availability |
Indicates whether the database connection is available or not. |
Percent |
If this measure reports the value 100 , it indicates that the database connection is available. The value 0 on the other hand indicates that the database connection is unavailable. A connection to the database may be unavailable if the database is down or if the database is listening on a port other than the one configured for it in the eG manager or owing to a poor network link. If the SQL availability measure reports the value 0, then, you can check the value of this measure to determine whether/not it is due to the unavailability of a connection to the server. |
| Conn_response_time |
Indicates the time taken by the database connection. |
Seconds |
A high value could indicate a connection bottleneck. Whenever the SQL response time of the measure soars, you may want to check the value of this measure to determine whether a connection latency is causing the poor responsiveness of the server. |
| Query_availability |
Indicates whether the database query is executed successfully or not. |
Percent |
If this measure reports the value 100, it indicates that the query executed successfully. The value 0 on the other hand indicates that the query failed. In the event that the SQL availability measure reports the value 0, check the value of this measure to figure out whether the failed query is the reason why that measure reported a server unavailability. |
| Query_response_time |
Indicates the time taken for query execution. |
Seconds |
A high value could indicate that one/more queries to the database are taking too long to execute. Inefficient/badly designed queries to the database often run for long periods. If the value of this measure is higher than that of the Connection time measure, you can be rest assured that long running queries are the ones causing the responsiveness of the server to suffer. |
| No_of_records |
Indicates the number of records fetched from the database. |
Number |
The value 0 indicates that no records are fetched from the database. |
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