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SQOOP is an open source which is the product of Apache. SQOOP stands for SQL to Hadoop.

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It is the tool which is the specially designed to transfer data between Hadoop and RDBMS like SQL Server, MySQL, Oracle etc.
SQOOP is basically command based interface so we use import command to transfer RDBMS data to Hadoop and Export command to transfer data back in RDBMS.

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Here, Sqoop occupies a place in the Hadoop ecosystem to provide feasible interaction between relational database server and Hadoop’s HDFS.
Sqoop (“SQL-to-Hadoop”) is a straightforward command-line tool with the following capabilities:

Imports individual tables or entire databases to files in HDFS
Generates Java classes to allow you to interact with your imported data
Provides the ability to import from SQL databases straight into your Hive data warehouse

After setting up an import job in Sqoop, you can get started working with SQL database-backed data from your Hadoop MapReduce cluster in minutes.

Sqoop related tags : sqoop import , sqoop interview questions , sqoop export , sqoop commands , sqoop user guide , sqoop documentation

How Sqoop Works?

The following image describes the workflow of Sqoop.

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Sqoop Import:

The import tool imports individual tables from RDBMS to HDFS. Each row in a table is treated as a record in HDFS.
All records are stored as text data in text files or as binary data in Avro and Sequence files.

Sqoop Export:

The export tool exports a set of files from HDFS back to an RDBMS. The files given as input to Sqoop contain records, which are called as rows in table.
Those are read and parsed into a set of records and delimited with user-specified delimiter.
Sqoop is a tool designed to transfer data between Hadoop and relational database servers.

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It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases.
This is a brief tutorial that explains how to make use of Sqoop in Hadoop ecosystem.

Prerequisites

The following prerequisite knowledge is required for this product:

Basic computer technology and terminology
Familiarity with command-line interfaces such as bash
Relational database management systems

Basic familiarity with the purpose and operation of Hadoop

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Before you can use Sqoop, a release of Hadoop must be installed and configured.

Sqoop is currently supporting 4 major Hadoop releases - 0.20, 0.23, 1.0 and 2.0.

This document assumes you are using a Linux or Linux-like environment.

If you are using Windows, you may be able to use cygwin to accomplish most of the following tasks.

If you are using Mac OS X, you should see few (if any) compatibility errors. Sqoop is predominantly operated and tested on Linux

Sqoop VS Sqoop2 :

SQOOP forum

Sqoop Installation and Download :

Sqoop Installation

Connecting Sqoop to other databases/datastores :

Import data directly into Hive Warehouse

Import data from RDBMS to HBase table

Import data to new catalog

Import the results of a query from a relational database into HDFS

Load JDBC Driver

Sqoop Export :

Sqoop Export basic example

Sqoop Import RDBMS Table to HDFS :

Sqoop Import RDBMS Table to HDFS

Merge data-sets imported via incremental import using Sqoop :

Import New as well as Updated Data - lastmodified mode - Append Mode

Hadoop with Kite SDK :

Kite SDK to demonstrate copying of various file formats to Hadoop

Sqoop Advanced :

Use Sqoop to copy an Oracle table to Hadoop

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