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The following output indicates that the directory specified in hadoop-env.sh for the server PID files was not writable: slave1: mkdir: cannot create directory `/var/bad-hadoop': Permission denied slave1: starting datanode, logging to /home/jason/src/hadoop-0.19.0/bin/../logs/hadoop-jason-datanode-slave1.out slave1: /home/jason/src/hadoop-0.19.0/bin/hadoop-daemon.sh: line 118: /var/bad-hadoop/pids/hadoop-jason-datanode.pid: No such file or directory slave1: mkdir: cannot create directory `/var/bad-hadoop': Permission denied slave1: starting secondarynamenode, logging to /home/jason/src/hadoop-0.19.0/bin/../ logs/hadoop-jason-secondarynamenode-slave1.out slave1: /home/jason/src/hadoop-0.19.0/bin/hadoop-daemon.sh: line 118: /var/bad-hadoop/pids/hadoop-jason-secondarynamenode.pid: No such file or directory When Hadoop Core is starting services on the cluster, the required directories for the server operation are created if needed. These include the PID directory and the working and temporary storage directories for the server. If the framework is unable to create a directory, there will be error messages to that effect logged to the error stream of the script being used to start the services. Any messages in the startup output about files or directories that are not writable, or directories that could not be created, must be addressed. In some cases, the server will start, and the cluster may appear to run, but there will be stability and reliability issues. At this point, the next step is to verify that the DataNode servers started and that they were able to establish service with the NameNode.

To verify that the server processes are in fact running, wait roughly 1 minute after the finish of start-dfs.sh, and then check that the NameNode and DataNode exist.

Then, we'll discuss the privacy concerns around using HTML5 Geolocation data and how browsers work with this data After that, we'll dive into a practical discussion about using the HTML5 Geolocation APIs There are two types of position request APIs: the one-shot position request and the repeated position updates, and we'll show you how and when to use them Next, we'll show you how to build a practical HTML5 Geolocation application using the same APIs, and we'll finish up with a discussion about a few additional use cases and tips..

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Requesting a persistent object again in the same Hibernate session returns the same Java instance of a class, which means that you can compare the objects using the standard Java == equality syntax. If you request a persistent object in more than one Hibernate session, Hibernate will provide an instance for each session, and the == operator will return false if you compare these object instances. Taking this into account, if you are comparing objects in two different sessions, you will need to implement the equals() method on your Java persistence objects. Like any other Java application where you would create an equals() method, you should compare the values of the object s properties.

1887 Jps 19379 NameNode The first value in the output is the PID of the java process, and it will be different in your output. If there is no NameNode, the initialization failed, and you will need to examine the log file to determine the problem. The log data will be in the file logs/hadoop-${USER}-namenode.log.

note The NameNode actually performs the formatting operation, and the formatting results end up in the

Using the HTML5 Geolocation API is fairly straightforward. You request a position and, if the user agrees, the browser returns location information. The position is provided to the browser by the underlying device (for example, a laptop or a mobile phone) on which the HTML5 Geolocation enabled browser is running. The location information is provided as a set of latitude and longitude coordinates along with additional metadata. Armed with this location information, you can then build a compelling, location-aware application.

The examples in Listings 4-2 and 4-3 are excerpts from a NameNode log, demonstrating different failure cases. listing 4-2. Did the NameNode Format Fail Due to Insufficient Permissions bin/hadoop namenode -format

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