Tips for before, during and after an interview Before the Interview Practice, practice, practice. It’s one of the best ways to get more confident and comfortable interviewing. A few tips for practising: Try to turn off your inner critic and answer as authentically as possible. Review your answers from the perspective of an interviewer. Which parts of your answer capture the things you’d want an interviewer to know about you? Which parts feel less relevant?...
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Sqoop Job 1. create a sqoop job that import a MySQL table to HDFS 1 2 3 4 5 6 7 8 9 10 11 sqoop job \ --create sqoop_import_products \ -- import \ --connect "jdbc:mysql://quickstart:3306/retail_db" \ --username retail_dba \ --password cloudera \ --table products \ --target-dir "/cca175/ps27/products/" \ --fields-terminated-by "|" \ --lines-terminated-by "\n" \ -m 5 NOTE: there is a blank before the import keyword in -- import. --import (no blank before import) will not work!...
Previously we talked about sqoop import, now in this article, we will continue on the journey with sqoop export. Sqoop Export Common Scenarios 1. export a Hive table to MySQL 1 2 3 4 5 6 7 sqoop export \ --connect "jdbc:mysql://quickstart:3306/retail_db" \ --username retail_dba \ --password cloudera \ --table products_export \ --export-dir "/user/hive/warehouse/cca175/ps19/products_export" \ --batch NOTE: The --table and --export-dir variables are required for sqoop export. These specify the table to populate in the database, and the directory in HDFS that contains the source data....
Sqoop Import Common Scenarios 1. import a table to HDFS 1 2 3 4 5 6 sqoop import \ --connect "jdbc:mysql://quickstart:3306/retail_db" \ --username retail_dba \ --password cloudera \ --table products \ -m 1 NOTE: --connect, --username, --password are database connection variables for connecting to target RDBMS. In this case, we use MySQL as our data source. --table is the specific table that we want to import to HDFS -m 1, or --num-mappers 1 is the parameters of map tasks to use to perform....