By Deepak Vohra
Research the basic foundations and ideas of the Apache HBase (NoSQL) open resource database. It covers the HBase info version, structure, schema layout, API, and management. Apache HBase is the database for the Apache Hadoop framework. HBase is a column relations established NoSQL database that gives a versatile schema version.
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Extra resources for Apache HBase Primer
HDFS checksum verification is bypassed on block read as checksum verification is done by HBase. If the HBase checksum fails, revert to checksum verification from HDFS for some time. checksum = false 41 CHAPTER 2 ■ APACHE HBASE AND HDFS Figure 2-30. The HFile data block chunk and the Checksum chunk Data Locality for HBase Data locality is low when a region is moved as a result of load balancing or region server crash and failover. Most of the data is not local unless the files are compacted. When writing a data file, provide hints to the NameNode for locations for block replicas.
To enable the feature, DATA_BLOCK_ENCODING = PREFIX | DIFF | FAST_DIFF has to be set in the table info. Compaction Compaction is the process of creating a larger file by merging smaller files. Compaction can become necessary if HBase has scanned too many files to find a result but is not able to find a result. hstore. max, parameter compaction is performed to merge files to create a larger file. Instead of searching multiple files, only one file has to be searched. Two types of compaction are performed: minor compaction and major compaction.
Leaf index blocks and bloom filter blocks also are cached. Smaller block sizes are used for faster random access. Smaller block sizes provide smaller read and faster in-block search. But smaller blocks lead to a larger block index and more memory consumption. For faster scans, use larger block sizes. The number of key-value pairs that fit an average block may also be determined. The block format is shown in Figure 2-27. Figure 2-27. Block format Compression and data block encoding (PREFIX, DIFF, FAST_DIFF, PREFIX_TREE) minimizes file sizes and on-disk block sizes.