By Kathleen Ting, Jarek Jarcec Cecho
Integrating information from a number of resources is vital within the age of huge facts, however it could be a difficult and time-consuming job. this convenient cookbook offers dozens of ready-to-use recipes for utilizing Apache Sqoop, the command-line interface software that optimizes info transfers among relational databases and Hadoop. Sqoop is either strong and bewildering, yet with this cookbook's problem-solution-discussion layout, you are going to fast how you can install after which follow Sqoop on your surroundings. 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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Additional info for Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database
Each database system and user environment is different. There aren’t best practices that can be broadly applied across all use cases. Our recom‐ mendation is to start with enabling --batch import and specify the number of rows per statement to roughly equal the maximum allowed query size. From that starting point, experiment with different values. 3. , the target table will remain empty). Solution You can use a staging table to first load data to a temporary table before making changes to the real table.
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. The parameter --columns is used to specify either a reordering of columns or that only a subset of table columns is available in the input files. The parameter accepts a comma-separated list of column names and can be particularly helpful if you’re exporting data to different tables or your table has changed between the import and export operations.
3. Importing Only a Subset of Data Problem Instead of importing an entire table, you need to transfer only a subset of the rows based on various conditions that you can express in the form of a SQL statement with a WHERE clause. Solution Use the command-line parameter --where to specify a SQL condition that the imported data should meet. com/sqoop \ --username sqoop \ --password sqoop \ --table cities \ --where "country = 'USA'" Discussion Sqoop will propagate the content of the --where parameter as is to all generated queries that fetch data.
Apache Sqoop Cookbook: Unlocking Hadoop for Your Relational Database by Kathleen Ting, Jarek Jarcec Cecho