Answer / Abhishekh Kumar

Clients interact with HDFS using APIs such as Java's Hadoop FileSystem API, Python's PyHDFS, or the command-line interface (CLI) hdfs dfs. To write data, a client creates or appends to files by specifying the file path and data to be written. To read data, a client opens the file, sets a buffer size, and reads data from the DataNodes in blocks.

Explain the hdfs architecture and list the various hdfs daemons in hdfs cluster?

1 Answers  

---

Explain the difference between an hdfs block and input split?

1 Answers  

---

Replication causes data redundancy then why is pursued in hdfs?

1 Answers  

---

How hdfs is different from traditional file systems?

1 Answers  

---

How to Delete directory and files recursively from HDFS?

1 Answers  

---

What are the key features of HDFS?

1 Answers  

---

What is throughput? How does HDFS provide good throughput?

1 Answers  

---

How data or file is read in Hadoop HDFS?

1 Answers  

---

Hdfs stores data using commodity hardware which has higher chances of failures. So, how hdfs ensures the fault tolerance capability of the system?

1 Answers  

---

How to copy file from HDFS to local?

1 Answers  

---

Can multiple clients write into an HDFS file concurrently?

1 Answers  

---

How is indexing done in Hadoop HDFS?

1 Answers  

---