Hive Services

Hive Services There are total six Hive services currently run in Hadoop ecosystem. Hive CLI (Command Line Interface) Service: This service is used to manage tables, run hive queries. It is the default service in Hive. It is the most common way of interacting with the hive. Example: Go to command prompt and type: bin/hive… Read More »

Hive Tutorials

Hive Tutorials I highly recommend everyone to buy and read the book to get clear theoretical knowledge about the Hive. You can find book below. This short tutorial will explain you how to create table in Hive, how to import data into hive table. For more advanced hive create table commands please refer my further… Read More »

Hive namespaces (Variables and Properties)

Hive namespaces (Variables and Properties) There are total four namespaces available in Hive, we will go through each one. hivevar This is useful in defining our own custom variables for example Hive> set hivevar:toodey=hello; Hive> set toodey; Now we can use this in any Hive query statement as we have seen in my previous tutorial… Read More »

Datatypes in apache hive

Datatypes in apache hive What are the most common datatypes we used in apache hive, in this tutorial you will find the list of datatypes that are most common in use! Hive supports Primitive Data Types TINYINT It’s a 1 byte integer. SMALLINT It’s a 2 byte integer INT It’s a 4 byte integer BIGINT… Read More »

Hive JDBC metastore

Hive JDBC metastore In hive the default database for storing metadata is derby database but limitation to this is it only serves only one client request at a time, it will not handle multiple client requests. To solve this limitation hive also provides connectivity with JDBC driver that is hive can store all its metadata… Read More »

Why Apache hive is a schema on read not schema on write

Apache Hive Schema On Read. Why apache hive called schema on read not schema on write? In relation database systems, let’s say we perform any insert or update operations in this case database has full control over the storage and database can enforce the schema as data is written, this statement in relation databases called… Read More »