The following table summarizes the versions of Hadoop supported with each version of HBase. Based on the version of HBase, you should select the most appropriate version of Hadoop. You can use Apache Hadoop, or a vendor’s distribution of Hadoop. No distinction
is made here. Seethe Hadoop wikifor
information about vendors of Hadoop.
Hadoop 2.x is recommended.
Hadoop 2.x is faster and includes features, such as short-circuit reads, which will help improve your HBase random read profile. Hadoop 2.x also includes important bug fixes that will improve your overall HBase experience. HBase 0.98 drops support for Hadoop
1.0, deprecates use of Hadoop 1.1+, and HBase 1.0 will not support Hadoop 1.x.
Use the following legend to interpret this table:
Hadoop version support matrix
"S" = supported
"X" = not supported
"NT" = Not tested
HBase-0.94.x
HBase-0.98.x (Support for Hadoop 1.1+ is deprecated.)
HBase-1.0.x (Hadoop 1.x is NOT supported)
HBase-1.1.x
HBase-1.2.x
Hadoop-1.0.x
X
X
X
X
X
Hadoop-1.1.x
S
NT
X
X
X
Hadoop-0.23.x
S
X
X
X
X
Hadoop-2.0.x-alpha
NT
X
X
X
X
Hadoop-2.1.0-beta
NT
X
X
X
X
Hadoop-2.2.0
NT
S
NT
NT
X
Hadoop-2.3.x
NT
S
NT
NT
X
Hadoop-2.4.x
NT
S
S
S
S
Hadoop-2.5.x
NT
S
S
S
S
Hadoop-2.6.0
X
X
X
X
X
Hadoop-2.6.1+
NT
NT
NT
NT
S
Hadoop-2.7.0
X
X
X
X
X
Hadoop-2.7.1+
NT
NT
NT
NT
S
Hadoop 2.6.x
Hadoop distributions based on the 2.6.x linemusthaveHADOOP-11710applied
if you plan to run HBase on top of an HDFS Encryption Zone. Failure to do so will result in cluster failure and data loss. This patch is present in Apache Hadoop releases 2.6.1+.
Hadoop 2.7.x
Hadoop version 2.7.0 is not tested or supported as the Hadoop PMC has explicitly labeled that release as not being stable.
Replace the Hadoop Bundled With HBase!
Because HBase depends on Hadoop, it bundles an instance of the Hadoop jar under itslibdirectory. The bundled jar is ONLY for use in standalone mode. In distributed mode, it iscriticalthat
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.