Mapr Hbase Compression

See installing hbase for information about using hbase with mapr. See setting up compression with hbase for information about compressing hfile storage. Mapr database binary tables support the lz4, lzf, and zlib compression algorithms. When you create a mapr database binary table with the apache hbase api.
Mapr provides compression for files stored in the cluster. Compression is applied automatically to uncompressed files unless you turn compression off. The advantages of compression are. Compressed data uses less bandwidth on the network than uncompressed data. Compressed data uses less disk space. Using compression with hbase reduces the number of bytes transmitted over the network and stored on disk. These benefits often outweigh the performance cost of compressing the data on every write and uncompressing it on every read. Gzip compression is included with most linux distributions, and works natively with hbase.
Using compression with hbase reduces the number of bytes transmitted over the network and stored on disk. These benefits often outweigh the performance. Db binary tables support the lz4, lzf, and zlib compression algorithms. When you create a mapr. Db binary table with the apache hbase api or the hbase shell and specify the lz4, lzo, or snappy compression algorithms, the table uses the lz4 compression algorithm.
Depends on the data you. Re storing in hbase. S might work better in different situations. D suggest use your code as is, ie, if you are already using lzo, go ahead and use it and turn off mapr. Hello khan we will forward this to mapr support. One of us should contact you to collect logs and try to see what is happening with the cluster.