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Sqoop Integration with Hadoop Ecosystem:
- Sqoop Integration is defined as data was moved between RDBMS to HDFS.
- This imported data may further be required code analysed using hive or hbase.
- Sqoop offers property to directly import data to Hive / Hbase.
- Just add "--import-hive" at the end of the command.
Example:
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How to Integrate Sqoop in a Data Ingestion Layer with Hive, Oozie in a Big Data Application:
- Sqoop is a tool which helps to migrate and transfer the data between RDBMS and Hadoop system in bulk mode.
- This blog post will focus on integrating Sqoop with other projects in Hadoop ecosystem and Big Data Applications.
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Environment
- Java: JDK 1.7
- Cloudera version: CDH4.6
- MySQL.
Initial steps
- Assume that we will have some data on HDFS of our Hadoop cluster and in our MySQL.
- Now we want to integrate jobs with Oozie and Hive.
Code walkthrough
Below is an Oozie workflow which will trigger import job to import the data from MySQL to Hadoop:
Sqoop related tags : sqoop import , sqoop interview questions , sqoop export , sqoop commands , sqoop user guide , sqoop documentation
How to add the property for Sqoop when integrating with Oozie?
- This workflow file will help to configure the property to sqoop.
For Example: Add a statement in a transaction when import the data.
- Below command will import the data to Hadoop and into Hive also.
- To Import the data to Hadoop and into Hive also the below command will be helpful, But it will support to partition data only.
Verify and Result
- And we can try to trigger the Oozie workflow for first two commands to make sure the XML schemas in workflow files.
- For Hive integration, after the importing job complete, we can try to show table in Hive to make sure the table has data from MySQLshow tables by: