Sqoop – Introduction
What is SQOOP in Hadoop?
Apache SQOOP (SQL-to-Hadoop) is a tool designed to support bulk export and import of data into HDFS from structured data stores such as relational databases, enterprise data warehouses, and NoSQL systems. It is a data migration tool based upon a connector architecture which supports plugins to provide connectivity to new external systems.
An example use case of Hadoop Sqoop is an enterprise that runs a nightly Sqoop import to load the day’s data from a production transactional RDBMS into a Hive data warehouse for further analysis.
All the existing Database Management Systems are designed with SQL standard in mind. However, each DBMS differs with respect to dialect to some extent. So, this difference poses challenges when it comes to data transfers across the systems. Sqoop Connectors are components which help overcome these challenges.
Data transfer between Sqoop Hadoop and external storage system is made possible with the help of Sqoop’s connectors.
Sqoop has connectors for working with a range of popular relational databases, including MySQL, PostgreSQL, Oracle, SQL Server, and DB2. Each of these connectors knows how to interact with its associated DBMS. There is also a generic JDBC connector for connecting to any database that supports Java’s JDBC protocol. In addition, Sqoop Big data provides optimized MySQL and PostgreSQL connectors that use database-specific APIs to perform bulk transfers efficiently.