Answer / Kedar Singh

In Apache HDFS (Hadoop Distributed File System), both Input Splits and HDFS Blocks are crucial components. However, they serve different purposes.nnAn HDFS Block is the fundamental unit of data storage in HDFS, with a default size of 128MB per block. Each file in HDFS is divided into one or more blocks that are stored across multiple DataNodes (servers) in the cluster to ensure fault tolerance and high availability.nnOn the other hand, an Input Split represents a portion of data read by MapReduce jobs from an input source like HDFS. It is responsible for dividing the input data into manageable chunks, which are then processed by the mapper tasks. The number of Input Splits depends on factors such as the size of the file and the configuration settings. The main difference between an Input Split and an HDFS Block is that while an HDFS Block is a storage unit, an Input Split is a processing unit for MapReduce jobs.

Explain the difference between an hdfs block and input split?

1 Answers  

---

Compare hbase vs hdfs?

1 Answers  

---

What is a namenode in hadoop?

1 Answers  

---

How to split single hdfs block into partitions rdd?

1 Answers  

---

Why does hive not store metadata information in hdfs?

1 Answers  

---

How does hdfs ensure information integrity of data blocks squares kept in hdfs?

1 Answers  

---

While processing data from hdfs, does it execute code near data?

1 Answers  

---

Which one is the master node in HDFS? Can it be commodity hardware?

1 Answers  

---

What is Block in HDFS?

1 Answers  

---

Can you change the block size of hdfs files?

1 Answers  

---

Why HDFS performs replication, although it results in data redundancy?

1 Answers  

---

If the source data gets updated every now and then, how will you synchronize the data in hdfs that is imported by sqoop?

1 Answers  

---