Storage Retrieval

Download Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational by Kathleen Ting, Jarek Jarcec Cecho PDF

By Kathleen Ting, Jarek Jarcec Cecho

Integrating information from a number of resources is key within the age of massive info, however it could be a tough and time-consuming activity. this convenient cookbook presents dozens of ready-to-use recipes for utilizing Apache Sqoop, the command-line interface software that optimizes information transfers among relational databases and Hadoop. Sqoop is either robust and bewildering, yet with this cookbook's problem-solution-discussion layout, you are going to speedy the way to installation after which observe Sqoop on your atmosphere. The authors supply MySQL, Oracle, and PostgreSQL database examples on GitHub for you to simply adapt for SQL Server, Netezza, Teradata, or different relational platforms.

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Overriding Type Mapping Problem The default type mapping that Sqoop provides between relational databases and Hadoop usually works well. You have use cases requiring you to override the mapping. Solution Use Sqoop’s ability to override default type mapping using the parameter --mapcolumn-java. info --table cities \ --map-column-java id=Long Discussion The parameter --map-column-java accepts a comma separated list where each item is a key-value pair separated by an equal sign. The exact column name is used as the key, and the target Java type is specified as the value.

The amount of time needed to import the data would increase in proportion to the amount of additional data appended to the table daily. This would put an un‐ necessary performance burden on your database. Why reimport data that has already been imported? For transferring deltas of data, Sqoop offers the ability to do incremental imports. sql described in Chapter 2. 1. Importing Only New Data Problem You have a database table with an INTEGER primary key. You are only appending new rows, and you need to periodically sync the table’s state to Hadoop for further processing.

Using the --warehouse-dir parameter is fine, as this parameter can be easily used for all imported tables. You can take advantage of the parameter --exclude-tables to skip importing tables that need special parameters; you can then import them separately using the import tool, which allows you to specify additional parameters. 11. info CHAPTER 3 Incremental Import So far we’ve covered use cases where you had to transfer an entire table’s contents from the database into Hadoop as a one-time operation.

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