Apache Impala Interview Questions
Questions Answers Views Company eMail

How does impala compare to hive and pig?

34

How does impala achieve its performance improvements?

33

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

45

What happens when the data set exceeds available memory?

85

How much memory is required?

42

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

52

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

31

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?

94

Can I do transforms or add new functionality?

91

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

64

Is avro supported?

63


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Un-Answered Questions { Apache Impala }

Can I do transforms or add new functionality?

91


What does impala do for fast access?

39


Does if offer scaling?

27


Can impala be used for complex event processing?

78


Where can I find impala documentation?

62






State use cases of impala?

40


How to control access to data in impala?

39


How do I try impala out?

50


What are the best features of impala?

34


How are joins performed in impala?

89


Why we need impala hadoop?

37


What kinds of impala queries or data are best suited for hbase?

44


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?

39


What is the maximum number of rows in a table?

40


How does impala compare to hive and pig?

34