![]() ![]() Prentice Hall Professional Technical Reference, 2nd edition (2000) Harrison, G.: SQL High-Performance Tuning, Second Edition. Association for Computing Machinery (2010) In Proceedings of the 13th International Conference on Extending Database Technology, EDBT 2010, pp. Graefe, G., Kuno, H.: Self-selecting, self-tuning, incrementally optimized indexes. Graefe, G.: A survey of b-tree locking techniques. Pearson/Addison Wesley, Boston (2004)ĭuan, S., Thummala, V., Babu, S.: Tuning database configuration parameters with ituned. Cengage Learning, Boston (2016)ĭageville, B., Dias, K.: Oracle’s self-tuning architecture and solutions. 121, 260–265 (2017)Ĭoronel, C., Morris, S.: Database Systems: Design, Implementation, & Management. 3–14 (2007)Ĭolley, D., Stanier, C.: Identifying new directions in database performance tuning. In: Proceedings of the 33rd International Conference on Very Large Data Bases, pp. Computer 34(12), 48–55 (2001)Ĭhaudhuri, S., Narasayya, V.: Self-tuning database systems: a decade of progress. Rampant TechPress, North Carolina (2010)Ĭhaudhuri, S., Dayal, U., Ganti, V.: Database technology for decision support systems. Keywordsīurleson, D.K.: Oracle Tuning: the Definitive Reference. When comparing the results of Oracle with PostgreSQL, no indexes, Oracle/PostgreSQL is 64% faster, and with indexes, PostgreSQL/Oracle is 75% faster. Global performance results show that Oracle can improve 7% performance with indexes and PostgreSQL 91%. ![]() However, PostgreSQL showed shorter execution times after the optimizations made and proved to be more sensitive. Oracle has shown stability and robustness for queries, with best results in scenarios with poor performance conditions. The results allow inferring a positive impact when using constraints with a significant speedup as well as better throughput. The performance in each set of executions is analyzed. Ten TPC-H queries are performed on tables without any restrictions, with primary and foreign keys and with index constraints. This paper evaluates and compares the performance of Oracle and PostgreSQL database systems with the TPC-H benchmark, following a strategy of adding column-based indexes to optimize query execution. In this context, database optimization is evident as a process of refining database systems, aiming to improve their throughput and performance. Also, current Database Management Systems (DBMSs) need to respond efficiently to operations on their data. Therefore, to create, query, or manipulate an upper-cased (or mixed) object names, use doubles quotes.Relational databases are getting bigger and more complex. For CREATE commands where you don’t use doubles quotes, PostgreSQL creates objects with lower-case names. If you don’t use doubles quotes, PostgreSQL looks for object names in their lower-case form. ![]() The following command creates a table named employees (lower-case). To have an upper-case name, you must place the objects names within doubles quotes.įor example, to create a table named EMPLOYEES (upper-case) in PostgreSQL, you should use the following CREATE TABLE "EMPLOYEES" ( In most cases, you’ll want to use AWS DMS transformations to change schema, table, and column names to lower case. PostgreSQL names are case sensitive.īy default, AWS SCT uses object name in lower-case for PostgreSQL. Object name case sensitivity is different for Oracle and PostgreSQL. ![]()
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