Skip to main content

JPS in Hadoop

What is JPS in Hadoop?

For checking running process in our Hadoop cluster we use JPS command.
JPS stands for Java Virtual Machine Process Status Tool or [JVM Process Status tool].
Below are some important points which one should remember at the time of using JPS command.
  • To check all running nodes on the host via jps, you need to run the command as root.
  • Otherwise, jps will only show nodes which you have currently logged-in user as.
Example of JPS
What-is-JPS-in-Hadoop By Prajjwal
Labels:

Comments

Post a Comment

Popular posts from this blog

NOSQL Databases.

NOSQL databases: NoSQL databases are the one which comes in the picture when we no longer work with our traditional databases. "NoSQL" : stand for [NOT ONLY SQL] is an replacement to traditional relational databases in big data world. it is basically schema-free and scalable database, best suitable for solving big data challenges. Properties of NOSQL databases. Schema-free: A SQL database needs to be pre-defined with schema before we can add data to it. A NOSQL database on the other hand allows data insertion dynamically. i.e. we can insert data into NOSQL database without any predefined schema. Scalable : Usually SQL databases scale-up vertically. i.e. when the load is high , the system will be individually upgraded. where as in NOSQL databases it is done horizontally, since these are distributed in nature.  Types and Example of NOSQL databases: Key-Value Stores:                ex : Redis and Amazon S3 Column-Value Stor...
Post a Comment
Read more

Data Locality in Hadoop

What is data Locality in Hadoop? We can say that, Data locality improves the overall execution of the system and makes Hadoop faster. It reduces the network congestion. There are two benefits of data Locality in Hadoop. i. Faster Execution In data locality, the program is moved to the node where data resides instead of moving large data to the node, this makes Hadoop faster. Because the size of the program is always lesser than the size of data, so moving data is a bottleneck of network transfer. ii. High Throughput Data locality increases the overall throughput of the system. Hope this helps.
Post a Comment
Read more