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Accounts table, with two primary keys to identify the balances: account_name and timestamp Whenever the latest balance is to be entered, a new row is inserted into the Accounts table with the account_name, balance, and timestamp All other transactions, such as withdrawals, require that the most recent balance be determined from the timestamp (no updates of rows are permitted, for security reasons) If dates and times are not maintained consistently on the system, the potential exists for the true bank balance at the present time to be missed for selection based on the incorrect timestamp it may have been assigned This disparity would clearly render the application useless Figure 22-1 demonstrates this scenario in action two balances have been inserted into the Accounts table for account_name 95639656: $18,47590 is the balance on January 1, 2002, at 18:54:21, and $17,47590 is the balance on the same day at 18:54:22.

This set of entries indicates that a withdrawal of $1,000 occurred one second after the first transaction What if the system clock did not have accuracy to within one second The incorrect balance of $18,47590 might then be reported when future queries are run While most systems are capable of maintaining millisecond accuracy for time, a more complex situation arises when high availability and clustering become involved and different systems in the cluster have different times and dates For example, imagine that a single database server receives updates from six Java 2 Enterprise Edition (J2EE) application servers on six different machines These servers process requests from clients in a round-robin fashion, and all update the same table on the database server This allows each application server to always retrieve the most up-to-date information for each client.

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However, if each server has a different date and time, they would be writing balances into the Accounts table with varying timestamps Again, the fact that the timestamps varied would prevent the application from being used seriously Figure 22-2 again demonstrates this scenario two balances have been inserted into the Accounts table for account_name 95639656: server1 inserted the balance $18,47590 on January 1, 2002 at 18:54:21, and server2 inserted the balance $17,47590 on January 1, 2002 at 18:54:22 This set of entries indicates that a withdrawal of $1,000 occurred one second after the first transaction If the two clocks of server1 and server2.

FIGURE 22-1

22:

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FIGURE 22-2

Inserting database records from multiple servers using timestamps requires even more accurate timekeeping.

were not synchronized with millisecond accuracy, we would never know which balance ($18,47590 or $17,47590) is actually correct What if a leap second was observed on one server and not another Clearly, there is a need for systems to be able to regularly synchronize their clocks to ensure consistency in enterprise applications One solution that solves the accuracy problem for single systems and for networks is the Network Time Protocol (NTP) The current production version of NTP is v3, specified in RFC 1305, which allows time to be synchronized between all systems on a network by using multicast, and also permits high-precision external hardware clock devices to be supported as authoritative time sources These two approaches ensure that potential data-consistency problems caused by timestamps do not hamper online transaction processing and other real-time data-processing applications.

By using a master-slave approach, one server on the network can be delegated the authority for timekeeping for all systems on that network Using a master-slave approach ensures that multiple, potentially conflicting sources of authoritative time do not interfere with each other s operation Note that Simple NTP (SNTP) version 4 is described in RFC 2030; however, it is still under development and is not a formal RFC yet NTPv3 provides a number of enhancements over previous versions it supports a method for servers to communicate with a set of peer servers to average offsets and achieve a more accurate estimation of current time This is a similar method used by national measurement laboratories and similar timekeeping organizations In addition, network bandwidth can be preserved because the interval between client/server synchronizations has been substantially increased.

This improvement in efficiency has been achieved because of the improvements to the local-clock algorithm s accuracy In any case, NTP uses UDP to communicate synchronization data, minimizing any network overhead In order for clients to access server data, the IP address or hostname of the server must be known there is no mechanism for automatic discovery of a time server defined by NTP..

Part V:

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