Following are the questions I faced in the Impetus Infotech interview. 1. What is Dependency Injection 2. How do you inject the values from one object to another. 3. What are Runnable Interface and Callable Interface 4.There are 10 billion records. And the new data adds up every day. How do you develop a system to store, read, update the data. 5. Give an use case for a Tree collection framework. 6. Can we operate HBase on any other file system other than HDFS. 7. In Hive, while partitioning, how the data is stored. In the same folder or separate folders. 8. What is the use of Combiner. Difference between combiner and reducer. In what cases we don't use Combiner. 9. Difference between Join and Innerjoin. 10. Can we combine two relational datasets without using Joins 11. Have you used UDFs in PIG Latin and how did you use them. 12. A Hash code method always returns 1. What will happen in that case. 13. Have you worked on Springs.
Answer for 3.Please, answer for this question is more lengthy we need search in Google we have enough information and before that we should have idea on these concepts if you have good knowledge on on java u can understand easily.
Answer for 9: Join is just a name for a process which is nothing but "JOIN" "KEY WORD" here SELECT * FROM JOIN ON TABLE-1.ID =TABLE-2.FK. INNER JOIN is One type of Join in SQL-JOINS
answer 3 Though both the interfaces are implemented by the classes who wish to execute in a different thread of execution, but there are few differences between the two interface which are:
A Callable instance returns a result of type V, whereas a Runnable instance doesn't A Callable instance may throw checked exceptions, whereas a Runnable instance can't
1. what is the difference between mongodb and Hbase. 2. What is the difference between oozie and other scheduling tools. 3. Define your project work flow in oozie 4. what is your cluster size and daily amount of data you receive 5. Do you archieve the data
1. MongoDB accepts documents as input for processing and works on non-hdfs platforms. But HBase is a column oriented database. 2. Mongodb prepares dynamically _id as primary key but in HBase the developer has to specify. 3. MongoDB developed based on Scientific Language (C), where as HBase developed using Java. 4. MongoDB aceessible file format is BSON (JSON), whereas HBase is Java API/RESTservices. 5. MongoDB has in-memory concept but not in HBase.
1. What is Dependency Injection 2. How do you inject the values from one object to another. 3. What are Runnable Interface and Callable Interface 4.There are 10 billion records. And the new data adds up every day. How do you develop a system to store, read, update the data. 5. Give an use case for a Tree collection framework.
Hi All, i have a Hadoop beginners doubt. If replication factor is 3, and when a node goes down 2 copies are still available, but now logically replication became 2 so hadoop will wait for the node to be up or will it make a copy of the file in some other node to make the replication factor again 3
When u define replication factor is 3 , that means u data will be copied to 3 slave nodes . So if any node is down Job tracker is responsible to assign the task to next replicated node. So there wont be any logical creation of another node to make replication factor as 3 rather it will wait for the dead node to get commissioned again. In GUI we will have relication factor as 3 only with 2 running nodes with one dead node.
The Slave (data) nodes will send their heartbeat to the master node in repeated intervals. If the master node doesn't receive any heartbeat signal from any of the data nodes, it will assume that there is a problem with that particular node and re-balancing will be done to make sure that the replication factor will be maintained for all the blocks.
The process won't stop even under-replicated because of the node is down. The JT takes ownership of assigning to which DN has to work on the pending task(Failed DN task). And, if 95% of replication of the blocks are done, then that is sufficient to start process.
Hello, I am beginner in HADOOP I have following set of questions: 1) Can we have a cluster of Machines having different Hardware Configuration? For eg. One Machine of 2GB RAM and Pentium 3 Processor, 200 GB Hard Drive and Other Machine with 4 GB RAM, Pentium 4 Processor 2.4 GHz, 500 GB Hard Disk and So on....? & also each one having Different Operating System?
2) How to determine which is the best Block size fit for our project requirements ? (64 MB is default) when to use 64 MB size, 128 MB respectively?.....
Keeping in mind for horizontal scalability , u need to decide the Block Size as per the Data Volumn used in the specific project. Normally it comes as part of project requirements from clients.
Question 1: Commodity hardware can be used and no need to think of about various slave nodes and their configurations. You very well use any configurations, but some DN performs well.
Question 2: Depending on the input files supplied, you have decide block sizes.
Thought of adding my two cents here. 1. commodity hardware may have different capacities. however in any serious environment, the operating system should be same across all nodes in the environment to maintain the stability at os level.
2. I wonder, whether any fixed formula is available to determine the required block size. Guess, only guidelines and experience can help. consider how much space will be wasted using a bigger blocksize for processing small datafiles against how many small sized blocks of data to be processed for huge datafiles. one need to consider I/O throughput of the data nodes, network speed, hardware capacity, number of data nodes available for parallel processing and so on.
as you are aware, one phase will not start until the earlier phase is completed 100%. Needless to say, a slow performing node may impact the process completion time.
If I am in your shoes, I will gather as much information as possible regarding the input data file sizes.
Combiners are made using same class as reducer and mostly same code. But question when exactly it is called before sort and shuffle or before reduce when?? if before sort and shuffle i.e., just after mapper then how it will get input as [key, list]???? as this is given by sort and shuffle. Now if it is called after sort and shuffle i.e., just before reducer then output to combiner is [key, value] like reducer then how reducer will get input as [key, list]???? Prompt answer is highly appreciated
i m also confused,but according to me after mapper,sorting nd shuffling is used for combiner also...after combiner again sorting shufling happens,for reducer
Big data is Huge Data to handle by rdbms or languages individually. Especially due to the 4 "V" known to Hadoop people.
No subject is difficult to understand, when broken into pieces(splits) to study them individually(mapper), make the learnings as a base ground work for the next module (sort & shuffle) and finally combine the modules to summarize (reducer) and review the outcome.
YARN is the prerequisite for Enterprise Hadoop, providing resource management and a central platform to deliver consistent operations, security, and data governance tools across Hadoop clusters. PHP Training in Chennai
This is balakrishna from batch54, i have one doubt reg. COUNT commands
when i give a following command hadoop fs -count /hdfs100/a.log |wc -c
when we run the above command we are not getting no of characters exactly but it is giving more than given characters i.e. My characters =23 but it is giving 83 characters....
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My doubt: Is it possible to process the 1TB single file as Dir size of 1TB is okay but not a single file and if it starts processing, What cluster and Block size will be required for this.
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Following are the questions I faced in the Impetus Infotech interview.
ReplyDelete1. What is Dependency Injection
2. How do you inject the values from one object to another.
3. What are Runnable Interface and Callable Interface
4.There are 10 billion records. And the new data adds up every day. How do you develop a system to store, read,
update the data.
5. Give an use case for a Tree collection framework.
6. Can we operate HBase on any other file system other than HDFS.
7. In Hive, while partitioning, how the data is stored. In the same folder or separate folders.
8. What is the use of Combiner. Difference between combiner and reducer. In what cases we don't use Combiner.
9. Difference between Join and Innerjoin.
10. Can we combine two relational datasets without using Joins
11. Have you used UDFs in PIG Latin and how did you use them.
12. A Hash code method always returns 1. What will happen in that case.
13. Have you worked on Springs.
This comment has been removed by the author.
DeleteAnswer for 2.The Best way is DependencyInjection.
DeleteAnswer for 3.Please, answer for this question is more lengthy we need search in Google we have enough information and before that we should have idea on these concepts if you have good knowledge on on java u can understand easily.
DeleteAnswer for 9: Join is just a name for a process which is nothing but "JOIN"
Delete"KEY WORD" here
SELECT * FROM JOIN ON TABLE-1.ID =TABLE-2.FK.
INNER JOIN is One type of Join in SQL-JOINS
Answer for 1.Its a process of Injecting Dependency Into Dependent is Called DI.
Deleteanswer 3
DeleteThough both the interfaces are implemented by the classes who wish to execute in a different thread of execution, but there are few differences between the two interface which are:
A Callable instance returns a result of type V, whereas a Runnable instance doesn't
A Callable instance may throw checked exceptions, whereas a Runnable instance can't
This comment has been removed by the author.
Delete1. what is the difference between mongodb and Hbase.
ReplyDelete2. What is the difference between oozie and other scheduling tools.
3. Define your project work flow in oozie
4. what is your cluster size and daily amount of data you receive
5. Do you archieve the data
Answer for 1. As per my knowledge as of now Mongodb is one of the NoSQL DB and Hbase is HadoopDB.
DeleteThis comment has been removed by the author.
Delete1. MongoDB accepts documents as input for processing and works on non-hdfs platforms. But HBase is a column oriented database.
Delete2. Mongodb prepares dynamically _id as primary key but in HBase the developer has to specify.
3. MongoDB developed based on Scientific Language (C), where as HBase developed using Java.
4. MongoDB aceessible file format is BSON (JSON), whereas HBase is Java API/RESTservices.
5. MongoDB has in-memory concept but not in HBase.
Thanks,
Lakshmi Narayana
it would be great if anyone can answer
ReplyDelete1. What is Dependency Injection
2. How do you inject the values from one object to another.
3. What are Runnable Interface and Callable Interface
4.There are 10 billion records. And the new data adds up every day. How do you develop a system to store, read,
update the data.
5. Give an use case for a Tree collection framework.
Answer for 1.Its a process of Injection Dependency Into Dependent is Called DI.
DeleteWhich version of Hadoop does Industry Using As on today 04/04/2015.
ReplyDeleteThis comment has been removed by the author.
DeleteThis cannot be easily judge based on this query, because of various distributors are playing in market.
DeleteTop order is CDH, Hortonworks and MapR. Rest of the distributors are next. So, depending on which distributor using, that one have to respond.
Thanks,
Lakshmi
Hi All, i have a Hadoop beginners doubt.
ReplyDeleteIf replication factor is 3, and when a node goes down 2 copies are
still available, but now logically replication became 2 so hadoop will
wait for the node to be up or will it make a copy of the file in some
other node to make the replication factor again 3
This comment has been removed by the author.
DeleteWhen u define replication factor is 3 , that means u data will be copied to 3 slave nodes . So if any node is down Job tracker is responsible to assign the task to next replicated node. So there wont be any logical creation of another node to make replication factor as 3 rather it will wait for the dead node to get commissioned again. In GUI we will have relication factor as 3 only with 2 running nodes with one dead node.
DeleteThe Slave (data) nodes will send their heartbeat to the master node in repeated intervals. If the master node doesn't receive any heartbeat signal from any of the data nodes, it will assume that there is a problem with that particular node and re-balancing will be done to make sure that the replication factor will be maintained for all the blocks.
DeleteThe process won't stop even under-replicated because of the node is down. The JT takes ownership of assigning to which DN has to work on the pending task(Failed DN task). And, if 95% of replication of the blocks are done, then that is sufficient to start process.
DeleteThanks,
Lakshmi
This comment has been removed by the author.
ReplyDeleteHello,
ReplyDeleteI am beginner in HADOOP I have following set of questions:
1) Can we have a cluster of Machines having different Hardware Configuration?
For eg. One Machine of 2GB RAM and Pentium 3 Processor, 200 GB Hard Drive and Other Machine with 4 GB RAM, Pentium 4 Processor 2.4 GHz, 500 GB Hard Disk and So on....? & also each one having Different Operating System?
2) How to determine which is the best Block size fit for our project requirements ? (64 MB is default) when to use 64 MB size, 128 MB respectively?.....
Keeping in mind for horizontal scalability , u need to decide the Block Size as per the Data Volumn used in the specific project. Normally it comes as part of project requirements from clients.
DeleteQuestion 1: Commodity hardware can be used and no need to think of about various slave nodes and their configurations. You very well use any configurations, but some DN performs well.
DeleteQuestion 2: Depending on the input files supplied, you have decide block sizes.
Thanks,
Lakshmi
Thought of adding my two cents here.
Delete1. commodity hardware may have different capacities. however in any serious environment, the operating system should be same across all nodes in the environment to maintain the stability at os level.
2. I wonder, whether any fixed formula is available to determine the required block size. Guess, only guidelines and experience can help. consider how much space will be wasted using a bigger blocksize for processing small datafiles against how many small sized blocks of data to be processed for huge datafiles. one need to consider I/O throughput of the data nodes, network speed, hardware capacity, number of data nodes available for parallel processing and so on.
as you are aware, one phase will not start until the earlier phase is completed 100%. Needless to say, a slow performing node may impact the process completion time.
If I am in your shoes, I will gather as much information as possible regarding the input data file sizes.
let me know how did it go at your end.
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ReplyDeletea) Movie Tickets & popcorn,
b) A cuppo for your car keys,
c) A clothespin holder,
d) A Hadoop 5-in-1 package as investment in your future.
What are you buying today?
Visit Now: http://bit.ly/1SqESgK
$20 can get you:
ReplyDeletea) Movie Tickets & popcorn,
b) A cuppo for your car keys,
c) A clothespin holder,
d) A Hadoop 5-in-1 package as investment in your future.
What are you buying today?
Visit Now: http://bit.ly/1SqESgK
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ReplyDeleteCombiners are made using same class as reducer and mostly same code.
ReplyDeleteBut question when exactly it is called before sort and shuffle or before reduce when??
if before sort and shuffle i.e., just after mapper then how it will get input as [key, list]???? as this is given by sort and shuffle.
Now if it is called after sort and shuffle i.e., just before reducer then output to combiner is [key, value] like reducer then how reducer will get input as [key, list]????
Prompt answer is highly appreciated
This comment has been removed by the author.
Deletei m also confused,but according to me after mapper,sorting nd shuffling is used for combiner also...after combiner again sorting shufling happens,for reducer
Deletewhy big data is difficult subject tell me two points?
ReplyDeleteFirst, negative thinking.
DeleteSecond, many learners starts and discontinues when talking about MapReduce (because code is developed using Java - And Java is like a ocean subject).
Thanks
Lakshmi Narayana
I agree with lakshmi Narayana.
DeleteBig data is Huge Data to handle by rdbms or languages individually. Especially due to the 4 "V" known to Hadoop people.
No subject is difficult to understand, when broken into pieces(splits) to study them individually(mapper), make the learnings as a base ground work for the next module (sort & shuffle) and finally combine the modules to summarize (reducer) and review the outcome.
What is YARN..?
ReplyDeleteYARN- Yet Another Resource Negotiator, an architectural change to utilize all the nodes to be used efficiently.
DeleteThanks,
Lakshmi Narayana
YARN is the prerequisite for Enterprise Hadoop, providing resource management and a central platform to deliver consistent operations, security, and data governance tools across Hadoop clusters.
ReplyDeletePHP Training in Chennai
Thankful for sharing this productive information to our vision.. keep on sharing :)Oracle DBA Training in Bangalore || PHP Training in Bangalore
ReplyDeletePlease provide Gopal Krishna's mail ID so that we can communicate with him and send home work / queries, etc.
ReplyDeletethank you
Hello Sir,
ReplyDeleteThis is balakrishna from batch54, i have one doubt reg. COUNT commands
when i give a following command
hadoop fs -count /hdfs100/a.log |wc -c
when we run the above command we are not getting no of characters exactly but it is giving more than given characters i.e. My characters =23 but it is giving 83 characters....
So please give explanation for this.
This comment has been removed by the author.
ReplyDeleteHi , will there be any night shifts in hadoop admin or hadoop developer roles?
ReplyDeletedepending on project requirement, there will be night shifts also.
DeleteThanks,
Lakshmi Narayana
Hi , will there be any night shifts in hadoop admin or hadoop developer roles?
ReplyDeleteHi , will there be any night shifts in hadoop admin or hadoop developer roles?
ReplyDeleteHi , will there be any night shifts in hadoop admin or hadoop developer roles?
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What are the differences between Row-oriented and Column-oriented databases?
ReplyDeleteThanks,
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In Row-Oriented Database is done in RDBMS. Here, if we want to know any particular record, all details of that record will be displayed.
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