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Add documentation for all SqoopTool implementations. Add database compatibility notes. Separate user guide from the develpment guide. From: Aaron Kimball <aaron@cloudera.com> git-svn-id: https://svn.apache.org/repos/asf/incubator/sqoop/trunk@1149902 13f79535-47bb-0310-9956-ffa450edef68
46 lines
1.7 KiB
Plaintext
46 lines
1.7 KiB
Plaintext
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////
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Licensed to Cloudera, Inc. under one or more
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contributor license agreements. See the NOTICE file distributed with
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this work for additional information regarding copyright ownership.
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Cloudera, Inc. licenses this file to You under the Apache License, Version 2.0
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(the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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////
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Introduction
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------------
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Sqoop is a tool designed to transfer data between Hadoop and
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relational databases. You can use Sqoop to import data from a
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relational database management system (RDBMS) such as MySQL or Oracle
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into the Hadoop Distributed File System (HDFS),
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transform the data in Hadoop MapReduce, and then export the data back
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into an RDBMS.
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Sqoop automates most of this process, relying on the database to
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describe the schema for the data to be imported. Sqoop uses MapReduce
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to import and export the data, which provides parallel operation as
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well as fault tolerance.
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This document describes how to get started using Sqoop to move data
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between databases and Hadoop and provides reference information for
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the operation of the Sqoop command-line tool suite. This document is
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intended for:
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- System and application programmers
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- System administrators
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- Database administrators
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- Data analysts
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- Data engineers
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