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Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...

Preface Having been in contact with Hadoop for two years, I encountered a lot of problems during that time, including both classic NameNode and JobTracker memory overflow problems, as well as HDFS small file storage issues, both task scheduling and MapReduce performance issues. Some problems are Hadoop's own shortcomings (short board), while others are not used properly. In the process of solving the problem, sometimes need to turn the source code, and sometimes to colleagues, friends, encounter ...

have been in touch with Hadoop for two years, during which there are many problems, both classic Namenode and jobtracker memory overflow failures, HDFs storage small file problems, both task scheduling problems and MapReduce performance problems. Some of these problems are the pitfalls of Hadoop itself (short boards), and others are improperly used. In the process of solving problems, sometimes need to turn over the source code, sometimes to colleagues, netizens consult, encounter complex problems will be through the mail list to the world of Hadoop users, ...

have been in touch with Hadoop for two years, during which there are many problems, both classic Namenode and jobtracker memory overflow failures, HDFs storage small file problems, both task scheduling problems and MapReduce performance problems. Some of these problems are the pitfalls of Hadoop itself (short boards), and others are improperly used. In the process of solving problems, sometimes need to turn over the source code, sometimes to colleagues, netizens consult, encounter complex problems will be through the mail list to users around the world Hadoop ...

First, the preamble: When the database server is established, we must first do is not to consider in this support for the database server running which are carried by the MySQL program, but when the database is destroyed, how to safely restore to the last normal State, making the loss of data to a minimum. Or just the establishment of the database server, only to show what it can do, does not mean that it can be stable to do something. The efficiency and comprehensiveness of disaster recovery is also a quasi-factor of system stability, especially for a server system. This section introduces the automatic database backup to ...