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JDBC caching performance tips
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The following pages have their detailed tips extracted below
The following detailed tips have been extracted from the raw tips page
http://www.sys-con.com/java/article.cfm?id=671
J2EE Application server performance (Page last updated April 2001, Added 2001-04-20, Author Misha Davidson, Publisher Java Developers Journal). Tips:
- Cache data when reuse is likely.
http://www.bastie.de/resource/res/mjp.pdf and http://www.bastie.de/java/mjperformance/contents.html
Performance tuning report in German. Thanks to Peter Kofler for extracting the tips. (Page last updated November 2001, Added 2001-07-20, Author Sebastian Ritter, Publisher Ritter). Tips:
- cache (SQL) Statements for DB access
http://www.weblogic.com/docs51/techdeploy/jdbcperf.html
Weblogic JDBC tuning (Page last updated April 1999, Added 2001-03-21, Author BEA Systems, Publisher BEA). Tips:
- Cache frequently requested data in the JVM and avoid the unnecessary database requests.
- Avoid accessing the database wherever possible.
http://www.sys-con.com/websphere/article.cfm?id=40
JDBC optimizing for DB2 (Page last updated April 2002, Added 2002-04-26, Author John Goodson, Publisher WebSphere Developers Journal). Tips:
- Cache any required metadata and use metadata methods as rarely as possible as they are quite slow.
http://www.sys-con.com/java/article.cfm?id=1171
J2EE Performance tuning (Page last updated October 2001, Added 2001-10-22, Author James McGovern, Publisher Java Developers Journal). Tips:
- Consider using an in-memory database (product) for data that doesn't need to be persisted.
http://www.theserverside.com/resources/article.jsp?l=Building-Sclable-Recoverable-Applications
Scalable recoverable applications (Page last updated May 2002, Added 2002-07-24, Author Billy Newport, Publisher The Server Side). Tips:
- Oracle 9i includes queryable snapshots of the main database which can offload the query to run against the clients local snapshot.
- An in-memory database (such as TimesTen) is very, very fast and can act as a queryable cache for a back end database.
- Database instances on each machine, with replication increases reliability and access speed. But updates now need to be handled differently. Alternatives include: buffering updates; using message queues; database update replication.
http://www.sys-con.com/java/article.cfm?id=725
Optimizing JDBC (Page last updated August 2001, Added 2001-08-20, Author John Goodson, Publisher Java Developers Journal). Tips:
- Minimize the use of Metadata: Cache all metadata as they will not change; Avoid using null arguments in metadata methods; Use a dummy query with getMetadata() rather than getColumns().
http://www.precisejava.com/javaperf/j2ee/JDBC.htm
JDBC performance tips (Page last updated November 2001, Added 2001-12-26, Authors Ravi Kalidindi and Rohini Datla, Publisher PreciseJava). Tips:
- Cache read-only and read-mostly tables data.
http://www.sys-con.com/java/article.cfm?id=673
J2EE Application servers (Page last updated April 2001, Added 2001-04-20, Authors Christopher G. Chelliah and Sudhakar Ramakrishnan, Publisher Java Developers Journal). Tips:
- Application servers should use connection pooling and database caching to minimize connection overheads and round-trips.
http://java.oreilly.com/news/jsptips_1100.html
Hans Bergsten's top ten JSP tips (Page last updated November 2000, Added 2001-01-19, Author Hans Bergsten, Publisher O'Reilly). Tips:
- Database access is typically very expensive in terms of server resources. Use a connection pool to share database connections efficiently between all requests, but don't use the JDBC ResultSet object itself as the cache object.
http://www.javaworld.com/javaworld/jw-02-2001/jw-0202-cachedrow.html
Article on using CachedRowSet, a ResultSet that doesn't need continuous connection to the database (Page last updated February 2001, Added 2001-02-21, Author Taylor G. Cowan, Publisher JavaWorld). Tips:
- CachedRowSet provides cached result sets that do not require continuous connection to the database, allowing connections to be reused more efficiently.
- Using CachedRowSet lets you batch updates, and execute them asynchronously.
- CachedRowSet also supports offline work which is later synchronized.
- CachedRowSet is probably not appropriate for managing large datasets.
http://www.eweek.com/article/0,3658,s=708&a=23115,00.asp
Database comparison (Page last updated February 2002, Added 2002-04-26, Author Timothy Dyck, Publisher E-Week). Tips:
- In-memory query result caches (such as with mySQL) improves performance significantly. (Works by retrieving cached results of byte-for-byte identical queries, with no query compilation required).
http://www.java-zone.com/free/articles/sf0101/sf0101-1.asp
Choosing a J2EE application server, emphasizing the importance of performance issues (Page last updated February 2001, Added 2001-02-21, Author Steve Franklin, Publisher DevX). Tips:
- Application server performance is affected by: the JDK version; connection pooling availability; JDBC version and optimized driver support; caching support; transactional efficiency; EJB component pooling mechanisms; efficiency of webserver-appserver connection; efficiency of persistence mechanisms.
- Decide on what is acceptable downtime for your application, and ensure the app server can deliver the required robustness. High availability may require: transparent fail-over; clustering; load balancing; efficient connection pooling; caching; duplicated servers; scalable CPU support.
http://developer.java.sun.com/developer/Books/J2EETech/ch3.pdf
Rambling discussion of building J.Crew website, in Chapter 3 of "J2EE Technology in Practice" (Page last updated September 2001, Added 2001-10-22, Authors Dao Ren, Dr. Rick Cattell and Jim Inscore, Publisher Sun). Tips:
Last Updated: 2008-05-01
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