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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
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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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A clustered key is an index key whose value represents data contained in multiple columns of the corresponding table Although there is only one column in the index to store the index key, that value can be a combination of data from multiple columns of the table Let s say a customer name is used as the index key Customer name is composed of two data elements: the customer first name and the customer last name Since there is only one column for the index key, the customer first name and the customer last name are concatenated into one value That is, the DBMS takes one data element and places it behind the other data element to create a new data element that becomes the index key Let s say that the customer first name is Tom and last name is Jones Here s what they look like when they are concatenated: TomJones Notice there isn t a space between the first and last name This is because concatenating places the character of the second value immediately following the last character of the first value Clustered keys add overhead to a DBMS because columns are delimited, and the delimiter must be escaped if it appears in the data This extra step might impede performance of the DBMS The DBMS treats the index key of a clustered index as it does any index key and uses a combination of trees and hashing algorithms to locate search criteria in the index
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