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Performance guide 1 Oracle E-Business Suite Information Discovery Performance Guide ORACLE WHITE PAPER APRIL CTable of Contents Overview Oracle Endeca Server Performance Issue Indicators Tuning the Dgraph Process Cache Multithreaded Mode Monitoring CPU Ut

Oracle E-Business Suite Information Discovery Performance Guide ORACLE WHITE PAPER APRIL CTable of Contents Overview Oracle Endeca Server Performance Issue Indicators Tuning the Dgraph Process Cache Multithreaded Mode Monitoring CPU Utilization Tuning the Dgraph Computed Threads Oracle Endeca Studio Server Monitoring Performance of Studio Portlets Measuring Loading Time for Portlet Client Studio Pages Measuring Individual Portlet Performance Monitoring Query Performance Con ?guring the Metrics Data to Record Metrics Log File Optimizing EQL Performance Metrics Page ORACLE E-BUSINESS SUITE INFORMATION DISCOVERY PERFORMANCE GUIDE C Overview Oracle E-Business Suite Information Discovery extends the Oracle E-Business Suite applications by leveraging Oracle Endeca Information Discovery Oracle Endeca Information Discovery is an enterprise discovery platform for the analysis of information from both structured and unstructured sources providing the ability to search for and visualize data in many di ?erent ways The goal of this document is to give users an overview of the performance of Oracle E-Business Suite Information Discovery and some basic instructions on how to enhance performance for Oracle E- Business Suite Information Discovery products ORACLE E-BUSINESS SUITE INFORMATION DISCOVERY PERFORMANCE GUIDE C Oracle Endeca Server Oracle Endeca Server query performance depends on many characteristics of your speci ?c deployment such as query workload query complexity data domain con ?guration and the characteristics of the loaded records as well as the size of the data domain's index In view of these characteristics a hardware sizing must be performed prior to deployment to assess memory consumption and other hardware needs of your deployment Also performance depends on the number of cores the computed number of threads must be adjusted to utilize the full capacity of a multithreaded environment The Oracle Endeca Server application services requests for one or more Endeca data domains Each Endeca data domain has one Dgraph process or if you implement clustering a set of one or more Dgraph processes that handle end-user query requests The Dgraph uses proprietary data structures and algorithms that allow it to provide real-time responses to client requests It stores the data ?les that were created from loading the data into it After the data ?les are stored the Dgraph ? Receives client requests through the application tier ? Queries the data ?les ? Returns the results The Dgraph is designed to be stateless This design requires that a complete query be sent to it for each request The stateless design facilitates the addition of Dgraph processes for load balancing and redundancy Performance Issue Indicators Performance issues that users could face while accessing Endeca pages might be related to the utilization of the cache or threads Some indicators of performance issues are ? An Endeca page takes too much time to load ? Portlets time out ? Bulk load takes too much time ? The UI becomes nonresponsive Tuning the Dgraph Process Cache The Dgraph cache is a storage area in memory that the Dgraph uses to dynamically save potentially useful data structures such as partial and complete results of processing queries Oracle Endeca Server uses