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Kathleen Ting, Jarek Cecho:
Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database - TaschenbuchISBN: 9781449364625
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2013
ISBN: 9781449364625
O'Reilly Media, 2013-08-06. Paperback. New. New. In shrink wrap. Looks like an interesting title!, O'Reilly Media, 2013-08-06, 6
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[EAN: 9781449364625], Gebraucht, sehr guter Zustand, [PU: O'Reilly Media], Very Good Copy, Books
2013, ISBN: 9781449364625
O'Reilly Media, 2013-08-06. Paperback. New., O'Reilly Media, 2013-08-06, 6
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Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational databases and Hadoop.
Sqoop is both powerful and bewildering, but with this cookbook’s problem-solution-discussion format, you’ll quickly learn how to deploy and then apply Sqoop in your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub that you can easily adapt for SQL Server, Netezza, Teradata, or other relational systems.
Transfer data from a single database table into your Hadoop ecosystemKeep table data and Hadoop in sync by importing data incrementallyImport data from more than one database tableCustomize transferred data by calling various database functionsExport generated, processed, or backed-up data from Hadoop to your databaseRun Sqoop within Oozie, Hadoop’s specialized workflow schedulerLoad data into Hadoop’s data warehouse (Hive) or database (HBase)Handle installation, connection, and syntax issues common to specific database vendors,Q&A with Kathleen Ting and Jarek Jarcec Cecho, author of "Apache Sqoop Cookbook"
Q. What makes this book important right now?
A. Hadoop has quickly become the standard for processing and analyzing Big Data. In order to integrate a new Hadoop deployment into your existing environment, you will need to transfer data stored in relational databases into Hadoop. Sqoop optimizes data transfers between Hadoop and databases with a command line interface listing 60 parameters. In this book, we'll focus on applying the parameters in common use cases to help you deploy and use Sqoop in your environment.
Q. What do you hope that readers of your book will walk away with?
A. One recipe at a time, this book guides you from basic commands not requiring prior Sqoop knowledge all the way to very advanced use cases. These recipes are detailed enough not only to enable you to deploy them within your environment but also to understand Sqoop's inner workings.
Q. Can you give us a little taste of the contents?
A. Imagine a scenario where you are incrementally importing records from MySQL into Hadoop. When you resume importing and noticing that some records have been modified, you also want to include those updated records. How do you drop the older copies of records when records have been updated and then merge in the newer copies?
This sounds like a use-case for using the lastmodified incremental mode. Internally, the lastmodified import consists of two standalone MapReduce jobs. The first job will import the delta of changed data similarly to the way normal import does. This import job will save data in a temporary directory on HDFS. The second job will take both the old and new data and will merge them together into the final output, preserving only the last updated value for each row.
Here's an example:
sqoop import \\
--connect jdbc:mysql://mysql.example.com/sqoop \\
--username sqoop \\
--password sqoop \\
--table visits \\
--incremental lastmodified \\
--check-column last_update_date \\
--last-value "2013-05-22 01:01:01"
Detailangaben zum Buch - Apache Sqoop Cookbook by Kathleen Ting Paperback | Indigo Chapters
EAN (ISBN-13): 9781449364625
ISBN (ISBN-10): 1449364624
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2013
Herausgeber: Kathleen Ting
75 Seiten
Gewicht: 0,176 kg
Sprache: Englisch
Buch in der Datenbank seit 2008-02-26T20:48:15+01:00 (Zurich)
Detailseite zuletzt geändert am 2024-01-16T17:33:15+01:00 (Zurich)
ISBN/EAN: 9781449364625
ISBN - alternative Schreibweisen:
1-4493-6462-4, 978-1-4493-6462-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ting, kath, cech, kathleen
Titel des Buches: apache, cook, hadoop, jarek
Daten vom Verlag:
Autor/in: Kathleen Ting; Jarek Jarcec Cecho
Titel: Apache Sqoop Cookbook
Verlag: O'Reilly and Associates
91 Seiten
Erscheinungsjahr: 2013-07-16
Gedruckt / Hergestellt in Vereinigte Staaten.
Sprache: Englisch
12,00 € (DE)
12,40 € (AT)
Not available (reason unspecified)
BA; PB; Hardcover, Softcover / Informatik, EDV/Informatik; Objektorientiertes Software Engineering; Verteilte Datenbanken; Computernetzwerke und maschinelle Kommunikation
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