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Conclusion
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Doing a benchmark for a given application is a difficult and time-consuming task. The reported results in this chapter are based on this author's first-time experiences with an ODBMS, and are, of course, related to how the operations were implemented. There are, of course, ways to improve them that could have led to different results. In most cases, the DBMS servers were used with standard set-up values. The value of tuning should not be underestimated. The benchmarks described here used fairly complex structures, and it was important that these were implemented as close as possible to the actual application before any adjustments were performed. However because of time pressures, little time was spent on exploring enhancements. Have in mind that n:m relationships have not been used in the tested complex objects, which actually could have given the ODBMS an extra advantage. This chapter has shown that even if the ODBMS tested here were faster in some areas, the RDBMS also produced some good results. In particular, the RDBMSs delete capabilities were impressive, compared to the ODBMS. This was related to how complex objects were deleted. As long as the RDBMS can perform its work inside the DBMS server, and the ODBMS needs to transport all the related objects to the client and then delete them as they are traversed, it is not strange that the RDBMS can outperform the ODBMS. RDBMSs are optimized for set operations, and the delete comparison benchmark showed us exactly this. It is important to mention that it would have been interesting to test a manual method to CASCADE DELETE the related objects for the ODBMS, since the vendor did not recommend using their predefined bidirectional relationships. On the other hand we have seen the advantages that an ODBMS client cache can provide. A client cache is a powerful enhancement to reduce network activity and bring related objects closer to the client application. The delete and update operations have also shown us how important physical design is for the ODBMS that was tested, even for relatively small databases. Some of the results have also shown a more increasing curve for the ODBMS when advancing from a small to large database. The RDBMS has been more stable in this situation. This is an important issue, particularly for developers with a strong programming background and without experience of physical database design.
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Object Databases and Java Architectural Issues
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Performance is an important success factor for most applications and databases. Using Java and an object database is no exception. In this chapter we will discuss a number of architectural issues that influence performance, both internally in an Object Database Management System (ODBMS) and its Java language binding. We will take a closer look at the importance of transfer units and caching strategies, locking and lock-models, flexibility of the ODBMS and its language binding, clustering, notification models, schema evolution, translation of pointers in the Java language binding, and a number of other interesting issues. The chapter is based on the authors' personal experience using one such commercial system. A developer should be aware of these issues, to prevent or minimize performance problems related to an ODBMS's architecture and its Java language binding.
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ODBMS Architecture
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The architectures of ODBMSs are fundamentally different from those of conventional relational and object-relational DBMSs. The ORDBMSs and RDBMSs send SQL queries to the server and receive a status and some records of data (optionally, if the query executed and returned data). All processing of queries is done by the server, as well as transaction processing, recovery, and so on. On the other hand, in many ODBMSs, the client plays a much greater role. Data are shipped between server and client, and the client performs much of the ODBMSs' processing (sometimes including query processing), as well as application processing. Other conceptual differences exist as well. For example, RDBMSs are based on the relational model first described by Codd [Codd 1970], 167
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