when we need to work with billions of rows and millions of columns, hbase is the best.
HDFS is a distributed file system for storing and managing large data across clusters. HBase built on top of HDFS and it provides fast record lookups
High capacity storage system.
Distributed design to cater large tables.
High performance & Availability.
supports random real time CRUD operations.
High capacity storage system
Distributed design to cater large tables
High performance & Availability
supports random real time CRUD operations
Operational command in Hbases is about five types
Column families comprise the basic unit of physical storage in Hbase to compression are applied.
The use of row key is to have logical grouping of cells which ensures all cells with the same row-key are co-located on the same server.
When you delete the cell in Hbase, the data is not actually deleted but a tombstone marker is set, making the deleted cells invisible. So, Hbase deleted cells are actually removed during compaction.
Three types of tombstone markers are there:
Version delete marker: For deletion, it marks a single version of a column
Column delete marker: For deletion, it marks all the versions of a column
Family delete marker: For deletion, it marks of all column for a column family.
Whatever you write will be stored from RAM to disk, It can write immutable barring compaction. Hence, during deletion process in Hbase, major compaction process delete marker while minor compaction don’t.
When you alter the block size of the column family, the new data occupies the new block size while the old data remains within the old block size. During data compaction, old data will take the new block size.
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