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What is HBase?
- HBase is the Hadoop Database.
- HBase is an open source, non relational, distributed database modeled and HBase written in java programming language.
- HBase is invented by facebook
- HBase runs on top of HDFS
- HBase data model is the key or value data store, schema-less
- It has no data type only byte offset
- It is append but not update stores a versions
- A columnar NoSQL data store for Hadoop
- It is supported big table with many rows and columns
- There are many query follow i.e consistent inserts, select, updates, merge and deletes of rows
- Optimized for random reads
- Data partitioning by row key values
- It has bloom filter
- Index query are on row key values
- Column store
- HBase supported server operating system are Linux and Unix
Hbase Supported many programming languages i.e, C, C#, C++, Groovy, Java, PHP, Python, Scala languages
Finding the Features of HBase online service to HBase Assignment Help:
- Linear and modular scalability
- Strictly consistent reads and writes
- Filters, counters
- It stores null values for free
- Scalable and Distributed
- Column oriented
- High availability, high performance
- Storage system
- HDFS based
- Secondary Indexes
- Jruby Based (JIRB) shell
1. Column oriented
2. Flexible schema, add column on the fly
3. Good with sparse tables,
4. Joins using MR -not optimized
5. Horizontal scalability-just add hardware
6. Good for semi structured data as well as structures data.
1. Row oriented
2. Fixed schema
3. Not optimized for sparse tables
4. Optimized for joins
5. Hard to shard and scale
6. Good for structured data
Uses of HBase:
- Unstructured data
- High scalability
- High volume data to be stored
- Column oriented data
- Generating data from an MR work flow
- Versioned data
- High scalability
What HBase is not?
- Nnot a relational database
- Transactions are not ACID
- Index available only on a row key
- Weak for sequential data scanning
- When you need to query masses of data fast
- DWH solution
When to use?
- In general:for data too big to store on some central storage
- For random data access: quick lookup of individual records
- The data can be represented by key value sets
- Database of binary records.
- When data set: has to be updated, is sparse:records have cariable number of attributes
- It has custom data types