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NEW QUESTION: 1
Zu den in der direkten und verwalteten Projektarbeit verwendeten Tools und Techniken gehören:
A. Expertenurteil und Treffen
B. Leistungsüberprüfungen und Besprechungen
C. Analysetechniken und ein Projektmanagement-Informationssystem
D. Prozessanalyse und Expertenurteil
Answer: A

NEW QUESTION: 2
Which two statements provide the definition for a view named view1 in the test database?
A. SELECT DEFINITION
FROM INFORMATION_SCHEMA.VIEWS
WHERE NAME = "test"
B. SHOW CREATE VIEW test-view1
C. SELECT VIEW_DEFINITION_SCHEMA.VIEWS
FROM INFORMATION _SCHEMA.VIEWS
WHERE TABLE_NAME="view1"
AND TABLE_SCHEMA = "test"
D. SHOW DEFINITION FOR test.view
E. SHOW CREATE VIEW view1 FROM test
Answer: C,E

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 8 : You have been given following mysql database details as well as other info.
Please accomplish following.
1. Import joined result of orders and order_items table join on orders.order_id = order_items.order_item_order_id.
2 . Also make sure each tables file is partitioned in 2 files e.g. part-00000, part-00002
3 . Also make sure you use orderid columns for sqoop to use for boundary conditions.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solutions:
Step 1 : Clean the hdfs file system, if they exists clean out.
hadoop fs -rm -R departments
hadoop fs -rm -R categories
hadoop fs -rm -R products
hadoop fs -rm -R orders
hadoop fs -rm -R order_items
hadoop fs -rm -R customers
Step 2 : Now import the department table as per requirement.
sqoop import \
--connect jdbc:mysql://quickstart:3306/retail_db \
-username=retail_dba \
-password=cloudera \
-query="select' from orders join order_items on orders.orderid =
order_items.order_item_order_id where \SCONDITlONS" \
-target-dir /user/cloudera/order_join \
-split-by order_id \
--num-mappers 2
Step 3 : Check imported data.
hdfs dfs -Is order_join
hdfs dfs -cat order_join/part-m-00000
hdfs dfs -cat order_join/part-m-00001