Why Switching Career from Java to Hadoop Read Full Explained Article From Here
Popular posts from this blog
Apache Hive Data Types Hive is Data warehousing tool and used to process the data stored in hadoop and HDFS. Hive is similar to SQL because it analyze and process the data through querying language. In this article we are discuss about basic data types for Hive query processing. Hive Data Types are classified into four types, given as follows Column Types Literal Null Values Complex Types Column Types: 1. Integral Integer type data can be used to Integral data types. Integral data types mentioned as INT. There are four types INT data types TINYINT (1-byte signed integer, from -128 to 127) SMALLINT (2-byte signed integer, from -32,768 to 32,767) INT (4-byte signed integer, from -2,147,483,648 to 2,147,483,647) BIGINT (8-byte signed integer, from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807) 2. String Types: String Data Types mentioned by Single Quotes and Double Quotes. It contains two types – CHAR, VARCHAR CHAR – CHAR is the f...
CAP Theorem in Hadoop What is CAP Theorem? CAP theorem is designed for distributed file systems(collection of interconnected nodes).CAP Theorem also known as Brewer’s theorem and used to distributed consistency.It contains follwing three technical terms for distributed systems. C – Consistency A – Availability P – Partition Tolerance Consistency: When you read data it will give same data how many times read and server send response each and every request but systems always consistent when read data.(all node having same data) Availability: It means all requests give response and no error accured in this systems. Partition Tolerance: All functions run all time when more nodes not responsive and commnication break between two nodes Distributed systems statisfy any two terms only and not satisfy three terms Selecting Two options in CAP Theorem: CP – Consistency/Partition Tolerance: It wait for response form partioned nodes and that ...
Comments
Post a Comment