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Mysql 跟 Hadoop 结合

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Jun 07, 2016 pm 04:23 PM

hadoopmysqlcombine

Mysql 和 Hadoop 结合我目前使用的数据库是MySQL，虽然大数据时代大家都在提NoSQL，认为SQL在大数据时代已经不重要，实际并非如此，MySQL在BI报表系统中扮演了很重要的角色。与此同时，大数据平台也引入了SQL，从而使得大量的分析人员、工程师使用SQL从海量

Mysql 和 Hadoop 结合
我目前使用的数据库是MySQL，虽然大数据时代大家都在提NoSQL，认为SQL在大数据时代已经不重要，实际并非如此，MySQL在BI报表系统中扮演了很重要的角色。与此同时，大数据平台也引入了SQL，从而使得大量的分析人员、工程师使用SQL从海量数据中快速查询内容。
Hadoop体系是个非常了不起的，围绕它业界建立并不断丰富了它的EcoSystem，从最传统的HDFS、MapReduce，到诸如Hive、Scribe、Zookeeper、HBase等等。我们的大数据工作实际上已经很难离开Hadoop了，在百度你经常会听到工程师说今天要跑个任务，百度的Hadoop集群已经是万级别的规模了，存储、计算、调度百度都研发了新一代的系统，尽管如此，其本源仍然是Hadoop体系。中小规模的公司，如果用到大数据，我建议义无反顾地去加入到Hadoop生态体系的怀抱，搭建一个Hadoop系统并不困难，从学习到配置各类参数搭建好两三天就够了，想要从大数据中查询用Hive；想要出天级报表，最简单的方法就是每天跑个Mapreduce任务或者写个HQL任务灌入到Mysql即可。

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