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Apache Impala Interview Questions
Questions Answers Views Company eMail

How does impala compare to hive and pig?

36

How does impala achieve its performance improvements?

33

Can I use impala to query data already loaded into hive and hbase?

47

What happens when the data set exceeds available memory?

91

How much memory is required?

76

Are results returned as they become available, or all at once when a query completes?

60

Why do I have to use refresh and invalidate metadata, what do they do?

60

Why does my select statement fail?

41

Does impala performance improve as it is deployed to more hosts in a cluster in much the same way that hadoop performance does?

164

Can I do transforms or add new functionality?

95

Why is space not freed up when I issue drop table?

66

Is avro supported?

75


Post New Apache Impala Questions

Un-Answered Questions { Apache Impala }

What is impala’s aggregation strategy?

52


What is used to store data generally?

39


Is impala intended to handle real time queries in low-latency applications or is it for ad hoc queries for the purpose of data exploration?

43


What are distinct operators in impala?

40


Is avro supported?

75


Where can I get sample data to try?

51


Is there an update statement?

160


Does impala support generic jdbc?

37


What load do concurrent queries produce on the namenode?

49


How can it help for avoiding costly modeling?

38


What are the names of daemons in impala?

45


What is troubleshooting for impala?

75


What are the most memory-intensive operations?

31


State some disadvantages of impala?

29


How do I load a big csv file into a partitioned table?

42