{"id":6033,"date":"2013-08-27T04:50:28","date_gmt":"2013-08-27T08:50:28","guid":{"rendered":"http:\/\/onlineappsdba.com\/?p=6033"},"modified":"2015-12-03T08:54:13","modified_gmt":"2015-12-03T12:54:13","slug":"oracle-weblogic-tuning-jdbc-data-source-parameters","status":"publish","type":"post","link":"https:\/\/onlineappsdba.com\/index.php\/2013\/08\/27\/oracle-weblogic-tuning-jdbc-data-source-parameters\/","title":{"rendered":"Oracle Weblogic : Tuning JDBC Data Source parameters"},"content":{"rendered":"<p>In this post , we will cover some of the parameters and factors which affect JDBC performance in Weblogic Server. But first I will like to show how jdbc connections are made (in Snaps below )and for that we need to understand two terms Data Sources and Connection Pool.<\/p>\n<p><strong>Data sources:<\/strong><br \/>\nAre administered factory Objects that provide JDBC connections.<br \/>\nAre bound into Java naming and Directory Interface (JNDI) and configure using the Administration console.<br \/>\nMake the application code Portal Across databases.<br \/>\n&#8211; Creating a connection to the database is an expensive operation.<\/p>\n<p><a href=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC13.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-6041\" src=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC13-300x85.jpg\" alt=\"\" width=\"300\" height=\"85\" srcset=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC13-300x85.jpg 300w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC13-1024x293.jpg 1024w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC13.jpg 1090w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<strong>Connection pools:<\/strong><br \/>\n&#8211; Remove the overhead of establishing connections.<br \/>\n-Improve server performance by sharing database connections among multiple users accessing the Web application.<\/p>\n<p><a href=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC111.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-6042\" src=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC111-300x90.jpg\" alt=\"\" width=\"300\" height=\"90\" srcset=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC111-300x90.jpg 300w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC111.jpg 892w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p><strong>A simple Way to boost JDBC application performance and avoid Wasting resources:<\/strong><br \/>\n1. JNDI lookups are relatively expensive. So caching an object that requires a lookup in client.<br \/>\ncode or application code avoids incurring additional performance cost.<br \/>\n2. When client or application code has a connection, maximize the reuse of this connection rather\u00a0than closing and reacquiring a new connection. Although acquiring and returning an existing\u00a0creation is much less expensive than creating a new one, excessive acquisitions and returns to\u00a0pools creates contention in the connection pool and degrades application performance.<br \/>\n3. Do not hold connections any longer than is necessary to achieve the Work needed. Getting a\u00a0connection once, completing all necessary Work, and returning it as soon as possible provides\u00a0the best balance for overall performance.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Parameters that Affect JDBC Data Source performance <\/strong>(which can be changed\u00a0using Weblogic console)<strong> :<\/strong><br \/>\n<strong>1. Connection Pool Capacity (Most Important) :<\/strong><br \/>\no Connection creation is expensive.<br \/>\no For applications that consistently involve heavy database traffic:<br \/>\n\uf0a7 Determine the optimal Maximum Capacity of a data source experimentally<br \/>\n\uf0a7 Set the lnitial Capacity and Maximum Capacity to the same value.<br \/>\no For applications, where peak database load is intermittent:<br \/>\n\uf0a7 Use different values for initial and maximum sizes.<br \/>\n<em>Tune Capacity increment and Shrink Frequency on the basis of load changes.<\/em><\/p>\n<p><a href=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC123.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-6046\" src=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC123-300x57.jpg\" alt=\"\" width=\"300\" height=\"57\" srcset=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC123-300x57.jpg 300w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC123.jpg 508w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>In my Environment, I have kept Minimum value as 20 and Maximum as 100. Minimum cant be kept too high as there will be extra overhead because of this.<\/p>\n<p><strong>2. Connection testing :<\/strong><br \/>\n&#8211; The WebLogic Server can test a connection from the connection pool before giving it to a client.<br \/>\n&#8211; Test Connection On Reserve parameter enables automatic testing of database connection.<br \/>\n&#8211; Connections can also be tested periodically for validity by using the Test Frequency parameter.<br \/>\n&#8211; Both these parameters can degrade performance (So , in production instances Avoid this)<\/p>\n<p><a href=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC16.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-6052\" src=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC16-300x60.jpg\" alt=\"\" width=\"300\" height=\"60\" srcset=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC16-300x60.jpg 300w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC16.jpg 621w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<strong>3. Shrink Frequency<\/strong><br \/>\n&#8211; The WebLogic Server periodically shrinks the connection pool to its initial capacity based on usage.<br \/>\n&#8211; The Shrink Frequency parameter is used to specify the number of seconds to wait before shrinking a connection pool.<br \/>\n&#8211; When set to Zero 0, shrinking is disabled. This can be helpful in a production environment.<\/p>\n<p><a href=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC15.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-6053\" src=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC15-300x31.jpg\" alt=\"\" width=\"300\" height=\"31\" srcset=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC15-300x31.jpg 300w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC15.jpg 558w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<strong>4. Configuring Row Pre Fetch<\/strong><\/p>\n<p>-Row prefetching improves performance by fetching multiple rows from the sen\/er to the client in one server access.<\/p>\n<p>&#8211; The optimal prefetch size depends on the particulars of the query.<\/p>\n<p>&#8211; In general, increasing this number will increase performance, until a particular value is reached.<br \/>\nNote: This is applicable only for external clients, not for clients in the same Java Virtual Machine (JVM) as the WebLogic Server.<br \/>\n<strong>Very rarely will increased performance result from Exceeding 100 rows.<\/strong><br \/>\nMax value is 65536 and minimum value is 2<\/p>\n<p><strong>5. Statement caching:<\/strong><\/p>\n<p><strong>The three types of statements in JDBC are:<\/strong><br \/>\n-Statements (not cached)<br \/>\n-Prepared statements<br \/>\n-Callable statements<br \/>\nThe prepared statements and callable statements are Cacheable and improve overall performance through reuse.<br \/>\n&#8211; The statement cache type determines how the cache is refreshed:<br \/>\nLRU: Replaces least recently used statement with new .<br \/>\nFIXED: no replacement is done<\/p>\n<p><strong>6. Statement Cache Size<\/strong>: The Statement Cache Size attribute determines the total number of prepared and callable statements to cache for each connection in each instance of the data source. By caching statements, you can increase your system performance. However, you must consider how your<br \/>\nDBMS handles open prepared and callable statements. In many cases, the DBMS will maintain a\u00a0cursor for each open statement. This applies to prepared and callable statements in the statement\u00a0cache. If you cache too many statements, you may exceed the limit of open cursors on your database\u00a0server. Setting the size of the statement cache to 0 turns off statement caching.<br \/>\n-Minimum value: 0<br \/>\n-Maximum value: 1024<\/p>\n<p><a href=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC14.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-6055\" src=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC14-300x55.jpg\" alt=\"\" width=\"300\" height=\"55\" srcset=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC14-300x55.jpg 300w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC14.jpg 518w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<strong>7. Connection Pinned to Thread:<\/strong><br \/>\n&#8211; A data source can dedicate or \u201cpin\u201d a connection to the \ufb01rst server thread that requests it.<br \/>\n&#8211; This capability:<br \/>\n&#8211; May increase performance by eliminating potential contention for connections by threads<br \/>\n&#8211; ls not supported with multidata sources or Oracle Real Application Clusters (RAC)<\/p>\n<p><a href=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC17.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-6057\" src=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC17-300x37.jpg\" alt=\"\" width=\"300\" height=\"37\" srcset=\"https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC17-300x37.jpg 300w, https:\/\/onlineappsdba.com\/wp-content\/uploads\/2013\/08\/JDBC17.jpg 494w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<strong>8. Inactive Connection Timeout:<\/strong><br \/>\nThe number of inactive seconds on a reserved connection before WebLogic Server reclaims the connection and releases it back into the connection pool.<br \/>\nYou can use the Inactive Connection Timeout feature to reclaim leaked connections &#8211; connections that were not explicitly closed by the application. Note that this feature is not intended to be used in place of properly closing connections.<br \/>\nWhen set to 0, the feature is disabled.<\/p>\n<p><strong>Things to Consider on Oracle Database Instance side:<\/strong><\/p>\n<p><strong>Number of processes<\/strong><\/p>\n<p>-It includes simultaneous users and Oracle background processes.<\/p>\n<p>-The default setting is usually too low.<\/p>\n<p><strong>Shared pool size<\/strong><\/p>\n<p>-It contains data and control information for each instance.<\/p>\n<p>-lt is critical to performance.<\/p>\n<p>-Even the moderate use of stored procedures and triggers may require an increase.<\/p>\n<p><strong>Maximum opened cursor<\/strong><\/p>\n<p>-It should be increased if you are using JDBC statement caching.<\/p>\n<p>&nbsp;<\/p>\n<p>There are several other Factors which affect JDBC performance which i will try to cover later , the ones discussed above are primary and important . Although Performance issues differ from environment to environment and may be due to some other reasons or factors (which are not mentioned above) , but i hope understanding these parameters will certainly help.<\/p>\n<p>&nbsp;<\/p>\n<div style=\"padding: 15px; margin-bottom: 15px; background: #ffffde; border: 1px solid #ddd; width: 85%;\" align=\"center\">\n<h2 align=\"left\">Learn Oracle Weblogic Server Administration<\/h2>\n<p>&nbsp;<\/p>\n<p>Get 100 USD OFF + 100% Money Back Guarantee<\/p>\n<p><a href=\"http:\/\/www.k21technologies.com\/oracle-weblogic-admin-training\" target=\"_blank\">Click here to get Early Bird Discounts<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>In this post , we will cover some of the parameters and factors which affect JDBC performance in Weblogic Server. 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