What is the speculative execution in hadoop?

Asked by Last Modified  

5 Answers

Learn Hadoop

Follow 2
Answer

Please enter your answer

"Transforming your struggles into success"

Speculative execution in Hadoop is a process of running duplicate tasks on different nodes to finish the job faster by using the result from the task that completes first.
Comments

I am online Quran teacher 7 years

a mechanism to improve job completion time by running duplicate tasks of slow-performing nodes on faster nodes.
Comments

"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

Speculative Execution in Hadoop: Runs duplicate tasks for slow-running ones. Whichever finishes first, its result is used. Helps avoid delays due to stragglers (slow nodes). Improves overall job performance and reliability. Enabled by default in MapReduce.
Comments

C language Faculty (online Classes )

Apache Hadoop does not fix or diagnose slow-running tasks. Instead, it tries to detect when a task is running slower than expected and launches another, an equivalent task as a backup (the backup task is called as speculative task). This process is called speculative execution in Hadoop.
Comments

C language Faculty (online Classes )

Apache Hadoop does not fix or diagnose slow-running tasks. Instead, it tries to detect when a task is running slower than expected and launches another, an equivalent task as a backup (the backup task is called as speculative task). This process is called speculative execution in Hadoop.
Comments

View 3 more Answers

Related Questions

Can anyone suggest about Hadoop?
Hadoop is good but it depends on your experience. If you don't know basic java, linux, shell scripting. Hadoop is not beneficial for you.
Ajay
How many nodes can be there in a single hadoop cluster?
A single Hadoop cluster can have **thousands of nodes**, depending on hardware and configuration.
Tahir
0 0
7
I want to pursue career in Data Analyst i.e. Hadoop, currently working in testing professional from last 4 year. Please let me know what�s the opportunity and is my work experience is considerable in Hadoop. Also let me know what need to be prepare for that. Please guide me. Thanks in advance.
Sachin, YEs your work experience will consider as total IT experience. But you need to prepare BigData Hadoop analytic from scratch(start-to end). That means you need to know Hadoop as BigData Hadoop developer...
Sachin
Hello, I have completed B.com , MBA fin & M and 5 yr working experience in SAP PLM 1 - Engineering documentation management 2 - Documentation management Please suggest me which IT course suitable to my career growth and scope in market ? Thanks.
If you think you are strong in finance and costing, I would suggest you a SAP FICO course which is definitely always in demand. if you have an experience as a end user on SAP PLM / Documentation etc, even a course on SAP PLM DMS should be good.
Priya
1 0
9

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

How To Be A Hadoop Developer?
i. Becoming a Hadoop Developer: Dice survey revealed that 9 out of 10 high paid IT jobs require big data skills. A McKinsey Research Report on Big Data highlights that by end of 2018 the demand for...

Loading Hive tables as a parquet File
Hive tables are very important when it comes to Hadoop and Spark as both can integrate and process the tables in Hive. Let's see how we can create a hive table that internally stores the records in it...

How to create UDF (User Defined Function) in Hive
1. User Defined Function (UDF) in Hive using Java. 2. Download hive-0.4.1.jar and add it to lib-> Buil Path -> Add jar to libraries 3. Q:Find the Cube of number passed: import org.apache.hadoop.hive.ql.exec.UDF; public...
S

Sachin Patil

0 0
0

How Big Data Hadoop and its importance for an enterprise?
In IT phrasing, Big Data is characterized as a collection of data sets (Hadoop), which are so mind boggling and large that the data cannot be easily captured, stored, searched, shared, analyzed or visualized...

CheckPointing Process - Hadoop
CHECK POINTING Checkpointing process is one of the vital concept/activity under Hadoop. The Name node stores the metadata information in its hard disk. We all know that metadata is the heart core...

Recommended Articles

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

Big data is a phrase which is used to describe a very large amount of structured (or unstructured) data. This data is so “big” that it gets problematic to be handled using conventional database techniques and software.  A Big Data Scientist is a business employee who is responsible for handling and statistically evaluating...

Read full article >

In the domain of Information Technology, there is always a lot to learn and implement. However, some technologies have a relatively higher demand than the rest of the others. So here are some popular IT courses for the present and upcoming future: Cloud Computing Cloud Computing is a computing technique which is used...

Read full article >

We have already discussed why and how “Big Data” is all set to revolutionize our lives, professions and the way we communicate. Data is growing by leaps and bounds. The Walmart database handles over 2.6 petabytes of massive data from several million customer transactions every hour. Facebook database, similarly handles...

Read full article >

Find Hadoop near you

Looking for Hadoop ?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you