The problem was actually with the Snappy codec or the native Snappy libraries.
After configuring the Snappy
Java implementation, the cluster started without any problems.
I have a final question regarding the Hbase distributions. Can you please tell
me the difference between the distributions:
Udo writes:
> Then I saw that the region servers had problems with Snappy
> compression. I'm not sure, but I believe the native Snappy libs were
> part of the previous Hadoop distribution, at least they are not
> included in the current one. After copying them over it seems to work
> now. But what
Hi Adam,
https://hbase.apache.org/book.html#data.block.encoding.types contains a
detailed description of compression in HBase. The final solution for us was to
configure the snappy codec in hbase-site.xml:
hbase.io.compress.snappy.codec
org.apache.hadoop.hbase.io.compress.aircompresso
I have four HBase clusters (A, B, C, D) with replication between them. I've
configured each cluster to replicate to all other clusters in an attempt to
have a hot-hot, eventually-consistent-across-all-clusters setup. One nice
property of this configuration is that any individual cluster can
complet
Thanks a lot for your suggestion.
I tried a different approach based on your idea. I deleted my local
repository and used Maven Central as source instead of employer's maven
proxy. Build worked flawlessly without any issues. It seems that there are
issues with io-opentelemetry JARs hosted in my em
