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Like Oracle and Microsoft SQL Server, DB2 also provides a utility to display query execution plans. IBM provides a script called EXPLAIN.DDL that creates the tables needed to hold the output of the explain facility. Once the explain tables are created, the explain facility can be used to create execution plans for queries, and the plans can then be displayed using either Visual Explain in the Control Center or by querying the explain tables using SQL.
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DML (Data Manipulation Language) statements generally produce fewer performance problems than query statements. However, there can be issues. For INSERT statements, there are two main considerations: Ensuring adequate free space for new rows Tablespaces that are short on space present problems as the DBMS searches for free space to hold rows being inserted. Moreover, inserts do not usually put rows into the table in primary key sequence because there usually isn t free space in exactly the right places. Therefore, reorganizing the table, which is essentially a process of unloading the rows to a at le, re-creating the table, and then reloading the table can improve both insert and query performance. Index maintenance Every time a row is inserted into a table, a corresponding entry must be inserted into every index built on the table (although null values are usually not indexed). The more indexes, the more overhead every insert will require. Index free space can usually be tuned just as table free space can. UPDATE statements have the following considerations: Index maintenance If columns that are indexed are updated, the corresponding index entries must also be updated. In general, updating primary key values has particularly bad performance implications, so much so that some RDBMSs prohibit them. Row expansion When columns are updated in such a way that the row grows signi cantly in size, the row may no longer t in its original location, and there may not be free space around the row for it to expand in place (other rows might be right up against the one just updated). When this occurs, the row must either be moved to another location in the data le
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where it will t or be split with the expanded part of the row placed in a new location, connected to the original location by a pointer. Both of these situations are not only expensive when they occur but are also detrimental to the performance of subsequent queries that touch those rows. Table reorganizations can resolve the issue, but it s better to prevent the problem by designing the application so that rows tend not to grow in size after they are inserted. DELETE statements are the least likely to present performance issues. However, a table that participates as a parent in a relationship that is de ned with the ON DELETE CASCADE option can perform poorly if there are many child rows to delete. Moreover, index maintenance also comes into play here because index entries must be removed for any deleted rows.
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Choose the correct responses to each of the multiple-choice questions. Note that there may be more than one correct response to each question. 1. Performance requirements a. Should be set after the SQL statements are tuned b. Provide a way to identify statements that need tuning c. Are best when they contain complex criteria d. Provide a way to know when to stop tweaking a query e. Are developed just to make the auditors happy 2. Disk reads and writes can be minimized by a. Allocating buffers of suf cient size b. Placing all the database les on one disk drive c. Putting the entire database in memory d. Adding indexes for all the important table columns e. Spreading les across all available disk drives 3. The computer system can be tuned by a. Collecting database statistics b. Applying available security patches c. Selecting fast and reliable hardware
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d. Following the DBMS tuning recommendations e. Consulting a tuning guide for the operating system 4. Ef cient table design includes
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