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Hibernate automatically manages any changes made to persistent objects. If a property changes on a persistent object, the associated Hibernate session will queue the change for persistence to the database using SQL. From a developer s perspective, you do not have to do any work to store these changes, unless you would like to force Hibernate to commit all of its changes in the queue. You can also determine if the session is dirty and changes need to be committed. When you commit the Hibernate transaction, Hibernate will take care of these details for you. The flush() method forces Hibernate to flush the session: public void flush() throws HibernateException You can determine if the session is dirty with the isDirty() method: public boolean isDirty() throws HibernateException You can also instruct Hibernate to use a flushing mode for the session with the setFlushMode() method. The getFlushMode() method returns the flush mode for the current session: public void setFlushMode(FlushMode flushMode) public FlushMode getFlushMode()

Most sites immediately bump up the number of file descriptors to 64,000, and large sites, or sites that have MapReduce jobs that open many files, might go higher. For a Linux machine, the simple change is to add a line to the /etc/security/limits.conf file of the following form: * hard nofile 64000 This changes the per-user file descriptor limit to 64,000 file descriptors. If you will run a much larger number of file descriptors, you may need to alter the per-system limits via changes to fs.file-max in /etc/sysctl.conf. A line of the following form would set the system limit to 640,000 file descriptors: fs.file-max = 640000 At this point, you may alter the limits.conf file line to this: * hard nofile 640000 Changes to limits.conf take effect on the next login, and changes to sysctl.conf take place on the next reboot. You may run sysctl by hand (sysctl -p) to cause the sysctl.conf file to be reread and applied. The web page at http://support.zeus.com/zws/faqs/2005/09/19/filedescriptors provides some instructions for several Unix operating systems. For Windows XP instructions, see http://weblogs.asp.net/mikedopp/archive/2008/05/16/increasing-user-handle-and-gdihandle-limits.aspx. Any user that runs processes that access HDFS should have a large limit on file descriptor access, and all applications that open files need careful checking to make sure that the files are explicitly closed. Trusting the JVM garbage collection to close your open files is a critical mistake.

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Each DataNode maintains a pool of threads that handle block requests. The parameter dfs.datanode.handler.count controls the number of threads the DataNode will use for handling IPC requests. These are the threads that accept connections on dfs.datanode.ipc. address, the configuration value described in 3. Currently, there does not appear to be significant research or tools on the tuning of this parameter. The overall concept is to balance JVM overhead due to the number of threads with disk and network I/O. The more requests active at a time, the more overlap for disk and network I/O there is. At some point, the overlap results in contention rather than increased performance.

As long as you can see the sky, GPS can provide very accurate location results. A GPS fix is acquired by acquiring the signal from multiple GPS satellites that fly around the earth. However, it can take awhile to get a fix, which does not lend itself particularly well for applications that must start up rapidly. Because it can take a long time to get a GPS location fix, you might want to query for the user s location asynchronously. To show your application s users that a fix is being acquired, you can add a status bar. Table 4-2 shows the pros and cons of GPS based geolocation data.

The default value for the dfs.datanode.handler.count parameter is 3, which seems to be fine for small clusters. Medium-size clusters may use a value of 30, set as follows: <property> <name>dfs.datanode.handler.count</name> <value>30</value> <description>The number of server threads for the datanode.</description> </property>

The possible flush modes are the following: ALWAYS: Every query flushes the session before the query is executed. AUTO: Hibernate manages the query flushing to guarantee that the data returned by a query is up to date. COMMIT: Hibernate flushes the session on transaction commits. NEVER: Your application needs to manage the session flushing with the flush() method. Hibernate never flushes the session itself. By default, Hibernate uses the AUTO flush mode. Typically, you will not have to change the flush mode for your application because Hibernate does an excellent job of managing the database synchronization itself.

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