1 understanding and understanding of Jstorm:
Jstorm is a distributed processing system similar to Hadoop MapReduce, where the user submits a task to Jstorm, Jstorm runs the task on a 7x24-hour basis, and if there is an unexpected failure of a worker during the run, The scheduler immediately assigns a new worker to replace the defunct worker to continue running the task. From the data point of view, Jstorm is a set of pipeline-based message processing mechanism, along with people's demand for real-time processing of data, the traditional Hadoop mapreduce can not meet the needs of users, so the flow-based jstorm distributed real-time computing emerges.
2 understanding and understanding of zookeeper:
Zookeeper, as a distributed service framework, can be seen as a distributed file system, zookeeper maintains a hierarchical relational data structure that is very similar to a standard file system, supporting data storage similar to file system directory Node tree mode, However, zookeeper is not intended to be used for data storage, it is mainly used to maintain and monitor the changes in the data state of the user store, and to maintain data consistency among the individual server nodes.
3 Review consolidates some of the commonly used Linux commands:
View JDK Installation path (update-alternatives--config java), JPS view Java process, sudo vi/.bashrc edit user variable, SCP upload file to server, PWD display current directory, echo X output the value of environment variable x, and other commands.
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2015.6.1
