What is Sqoop in Hadoop?

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Sqoop is a tool used to transfer data between the Relational Database Management System (RDBMS) and Hadoop HDFS. By using Sqoop, you can transfer data from RDBMS like MySQL or Oracle into HDFS as well as exporting data from HDFS file to RDBMS.

Sqoop (SQL-to-Hadoop) is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured data stores such as relational databases. It is part of the Hadoop ecosystem and facilitates the import and export of data between Hadoop and external data sources.

Key features and functionalities of Sqoop include:

  1. Data Transfer: Sqoop allows you to import data from external sources (such as relational databases like MySQL, Oracle, etc.) into Hadoop Distributed File System (HDFS) for processing by Hadoop-based tools like MapReduce.
  2. Parallel Import: Sqoop can parallelize data transfer, enabling the fast and efficient import of large datasets.
  3. Incremental Imports: Sqoop supports incremental data imports, allowing you to import only the new or updated records from the source, which can be useful for keeping Hadoop data up-to-date with changes in the source system.
  4. Export to External Systems: Sqoop also facilitates the export of data from HDFS back to external systems, providing a way to move the results of Hadoop processing back into relational databases or other structured data stores.
  5. Integration with Hadoop Ecosystem: Sqoop integrates with other components of the Hadoop ecosystem, such as Hive and HBase, allowing you to seamlessly transfer data between these systems.

In summary, Sqoop acts as a bridge between Hadoop and relational databases, making it easier to transfer and process structured data within the Hadoop ecosystem.