By Kathleen Ting, Jarek Jarcec Cecho

Integrating facts from a number of assets is key within the age of huge info, however it could be a difficult and time-consuming activity. this convenient cookbook presents dozens of ready-to-use recipes for utilizing Apache Sqoop, the command-line interface program that optimizes info transfers among relational databases and Hadoop. Sqoop is either strong and bewildering, yet with this cookbook's problem-solution-discussion structure, you are going to speedy easy methods to set up after which practice Sqoop on your setting. The authors supply MySQL, Oracle, and PostgreSQL database examples on GitHub that you should simply adapt for SQL Server, Netezza, Teradata, or different relational structures.

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Extra resources for Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database

Example text

Using this metadata, Sqoop will generate and compile the Java class. The generated class will be used in the submitted MapReduce job that will export your data. Similar to the import mode, no data is being transferred through the Sqoop client itself. All transfers are done in the MapReduce job, with Sqoop overseeing the process from your machine. Sqoop fetches the table’s metadata in the export: the destination table (specified with the --table parameter) must exist prior to running Sqoop. The table does not have to be empty, and you can even export new data from Hadoop to your database on an iterative basis.

Exporting into a Subset of Columns Problem You have data in Hadoop that you need to export. Unfortunately, the corresponding table in your database has more columns than the HDFS data. Solution You can use the --columns parameter to specify which columns (and in what order) are present in the Hadoop data. info Note the absence of whitespace with the --columns parameter. Discussion By default, Sqoop assumes that your HDFS data contains the same number and ordering of columns as the table you’re exporting into.

Transferring Data from Hadoop Problem You have a workflow of various Hive and MapReduce jobs that are generating data on a Hadoop cluster. You need to transfer this data to your relational database for easy querying. Solution You can use Sqoop’s export feature that allows you to transfer data from the Hadoop ecosystem to relational databases. info Discussion Export works similarly to import, except export transfers data in the other direction. Instead of transferring data from the relational database using SELECT queries, Sqoop will transfer the data to the relational database using INSERT statements.

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