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Unlike an index of a book, a table can be associated with multiple indexes, each of which contains a different key For example, a customer information table might have an index based on zip code and another on customer number The designer of the database determines the number of indexes that are associated with a table, although some DBMSs create their own indexes to speed searches if an appropriate index doesn t exist A J2ME application sends the DBMS a query that contains search criteria for information required by the component Instead of searching the table that contains the search criteria, the DBMS compares the search criteria to keys of indexes, looking for an index to use in the search Let s say that a J2ME application needs to retrieve information about a customer The request for information (called a query) is sent to the DBMS along with the customer number The DBMS recognizes that the request contains a customer number, then searches a catalog of indexes for an index that uses customer number as its key The DBMS always uses an index, if one exists, to locate search criteria If an index doesn t match the search criteria, the DBMS either creates a temporary index as part of the search or sequentially searches the table The method used with your DBMS depends on how the manufacturer designed the DBMS Once an index is located or a temporary index is created, the DBMS compares the search criteria contained in the request to the index key When a match is found, the DBMS notes the row number in the second column of the index, then opens the associated table and moves directly to the row that corresponds to the row number The DBMS then selects columns from the row that contains customer information requested by the J2ME application.

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An index offers an unparalleled advantage for finding information in a table quickly However, there is a drawback when too many indexes are used with one table An unacceptable delay can occur whenever a row is inserted into or deleted from the table Once an index is built, the DBMS is responsible for automatically maintaining the index whenever a row is inserted or deleted from the table This means that each index associated with a table must be modified whenever a row is inserted or deleted from the table, which can cause performance degradation if a table is associated with many indexes The trade-off for using multiple indexes is the time necessary for the DBMS to maintain each index

924 MARS (Multicast Address Resolution Server)

9:

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Performance degradation can be minimized by using a publisher-consumer database design for applications where rows are frequently inserted, deleted, or modified, as in an order processing system The publisher-consumer database design consists of two or more databases that contain the same information One database, called the publisher, receives requests from the J2ME application to insert a new row, modify, or delete an existing row J2ME applications don t use the publisher to retrieve information, therefore the publisher database isn t indexed A consumer database receives instructions to insert a new row, modify, or delete an existing row from the publisher However, the consumer receives requests for information from a J2ME application Therefore, the consumer database is indexed Once the publisher passes data to the consumer, the publisher is free to process the next incoming data, during which time the DBMS is updating the consumer s indexes There are two major benefits to this design First, a bottleneck is avoided when many requests are received by the DBMS to insert new information or update existing information This is because the publisher has two tasks to perform: insert or modify the database, then pass along those changes to the consumer The other benefit is that the database becomes scalable This means that the database can be adjusted to handle an increased volume of requests Let s say a company begins with a publisher and one consumer Over time there is an increase in the number of requests for information, which can overwhelm the DBMS and cause performance degradation This can be remedied by creating a second consumer and routing requests to one or the other consumer, reducing response time by half

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