原文地址:http://hbase.apache.org/book/configuration.html#basic.prerequisites
Table 2.1. Hadoop version support matrix
| HBase-0.92.x | HBase-0.94.x | HBase-0.96.0 | HBase-0.98.0 | |
|---|---|---|---|---|
| Hadoop-0.20.205 | S | X | X | X |
| Hadoop-0.22.x | S | X | X | X |
| Hadoop-1.0.0-1.0.2[a] | S | S | X | X |
| Hadoop-1.0.3+ | S | S | S | X |
| Hadoop-1.1.x | NT | S | S | X |
| Hadoop-0.23.x | X | S | NT | X |
| Hadoop-2.0.x-alpha | X | NT | X | X |
| Hadoop-2.1.0-beta | X | NT | S | X |
| Hadoop-2.2.0 | X | NT[b] | S | S |
| Hadoop-2.x | X | NT | S | S |
Where
| S = supported and tested, |
| X = not supported, |
| NT = it should run, but not tested enough. |
Replace the Hadoop Bundled With HBase!
Because HBase depends on Hadoop, it bundles an instance of the Hadoop jar under its lib directory. The bundled jar is ONLY for use in standalone mode. In distributed mode, it is critical that the version of Hadoop that is out on your cluster match what is under HBase. Replace the hadoop jar found in the HBase lib directory with the hadoop jar you are running on your cluster to avoid version mismatch issues. Make sure you replace the jar in HBase everywhere on your cluster. Hadoop version mismatch issues have various manifestations but often all looks like its hung up.
http://my.oschina.net/mkh/blog/222788
本文详细列举了不同版本的HBase与Hadoop之间的兼容性情况,包括从HBase-0.92.x到HBase-0.98.0与各个Hadoop版本的匹配状态。同时强调了在分布式环境中,确保Hadoop版本与HBase所捆绑的版本一致的重要性。
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