By Jarek Jarcec Cecho
Integrating info from a number of resources is vital within the age of massive facts, however it could be a not easy and time-consuming job. this useful cookbook offers dozens of ready-to-use recipes for utilizing Apache Sqoop, the command-line interface software that optimizes facts transfers among relational databases and Hadoop.
Sqoop is either robust and bewildering, yet with this cookbook’s problem-solution-discussion structure, you’ll speedy find out how to install after which observe 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 systems.
- Transfer info from a unmarried database desk into your Hadoop ecosystem
- Keep desk info and Hadoop in sync via uploading information incrementally
- Import information from multiple database table
- Customize transferred facts by means of calling a number of database functions
- Export generated, processed, or backed-up facts from Hadoop on your database
- Run Sqoop inside Oozie, Hadoop’s really expert workflow scheduler
- Load facts into Hadoop’s info warehouse (Hive) or database (HBase)
- Handle install, connection, and syntax concerns universal to express database vendors
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Additional resources for Apache Sqoop Cookbook
Exporting Corrupted facts challenge The enter facts isn't fresh. Sqoop fails at the export command with the next exception: java. io. IOException: cannot export information, please cost activity tracker logs resolution cost your map job logs to work out what's occurring. you could view them through starting the JobTracker (or ResourceManager if you’re utilizing YARN) internet interface after which trying to find your Sqoop activity. dialogue Sqoop export will fail in case your facts isn't within the layout that Sqoop expects. If a few of your rows have fewer or extra columns than anticipated, you may see that exception. that can assist you triage the corrupted row, Sqoop will print out very certain information regarding the incident into the duty log, for instance: java. lang. NumberFormatException: For enter string: "A" ... TextExportMapper: On enter: A,Czech Republic,Koprivnice TextExportMapper: On enter dossier: /user/root/corrupted_cities/input. corrupted TextExportMapper: At place zero TextExportMapper: TextExportMapper: presently processing cut up: TextExportMapper: Paths:/user/root/corrupted_cities/input. corrupted:0+1 TextExportMapper: the instance exhibits a corrupted dossier after we artificially replaced the 1st column of the desk towns from an integer consistent to the letter A. Sqoop has mentioned which exception used to be thrown, during which enter dossier it occurred, the place precisely within the dossier it happened, and at last the complete row that it's presently processing. regrettably, Sqoop at the moment doesn't provide the facility to pass corrupted rows, so that you needs to repair them sooner than operating the export activity. bankruptcy 6. Hadoop atmosphere Integration the former chapters defined some of the use circumstances the place Sqoop permits hugely effective information transfers among Hadoop and relational databases. This bankruptcy will concentrate on integrating Sqoop with the remainder of the Hadoop surroundings: we'll make it easier to run Sqoop from inside of a really good Hadoop scheduler named Oozie and the way to load your info into Hadoop’s facts warehouse process, Apache Hive, and Hadoop’s database, Apache HBase. Scheduling Sqoop Jobs with Oozie challenge you're utilizing Oozie on your setting to agenda Hadoop jobs and want to name Sqoop from inside your latest workflows. resolution Oozie comprises specified Sqoop activities so that you can use to name Sqoop on your workflow. for instance: