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What is Sqoop?

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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.
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How Sqoop Works?

  • The following image describes the workflow of Sqoop.
 sqoop-workflow

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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 :

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    SQOOP forum

    Sqoop Installation and Download :

    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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