Fast Mysql Import

To use Hadoop, data consolidation is critical and hbase is widely used. In general, you need to transfer data from existing types of databases or data files to HBase for different scenario patterns. The common approach is to use the Put method in the HBase API, to use the HBase Bulk Load tool, and to use a custom mapreduce job. The book "HBase Administration Cookbook" has a detailed description of these three ways, by Imp ...

The following article is mainly about the specific method of implementing a simple and practical optimization of the MySQL database, as well as what specific steps in the actual operation are worthy of our attention. The following article describes the MySQL database is a simple practical optimization of the specific methods to achieve, including how to conduct regular table analysis and inspection, and how to properly optimize the table on a regular basis, the following is a description of the specific program, I hope in your future Learning will be helpful. 1, regular analysis table and checklist analysis table syntax is as follows: ANAL ...

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Cloudera's location is bringing big Data to the Enterprise with Hadoop Cloudera in order to standardize the configuration of Hadoop, you can help the enterprise install, configure, Run Hadoop to achieve large-scale enterprise data processing and analysis. Since it is for enterprise use, Cloudera's software configuration is not to use the latest Hadoop 0.20, but the use of Hadoop 0.18.3-12.clou ...

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Then, we continue to experience the latest version of Cloudera 0.20. wget hadoop-0.20-conf-pseudo_0.20.0-1cloudera0.5.0~lenny_all.deb wget Hadoop-0.20_0.20.0-1cloudera0.5.0~lenny_ All.deb debian:~# dpkg–i hadoop-0.20-conf-pseudo_0.20.0-1c ...

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To understand the concept of large data, first from the "Big", "big" refers to the scale of data, large data generally refers to the size of the 10TB (1TB=1024GB) data volume above. Large data is different from the massive data in the past, and its basic characteristics can be summed up with 4 V (Vol-ume, produced, and #118alue和Veloc-ity), that is, large volume, diversity, low value density and fast speed. Large data features first, the volume of data is huge. Jump from TB level to PB level. Second, the data types are numerous, as mentioned above ...