Menu
I'd like to know what is difference from the configuration point of view as well as theoretical point of view?
Do these two modes use different port numbers? or any other difference?
295
As the name says, Single Node Hadoop Cluster has only a single machine whereas a Multi-Node Hadoop Cluster will have more than one machine. In a single node hadoop cluster, all the daemons i.e. DataNode, NameNode, TaskTracker and JobTracker run on the same machine/host.
Single node clusters are Dataproc clusters with only one node. This single node acts as the master and worker for your Dataproc cluster. While single node clusters only have one node, most Dataproc concepts and features still apply, except those listed below.
A Single Node cluster is a cluster consisting of an Apache Spark driver and no Spark workers. A Single Node cluster supports Spark jobs and all Spark data sources, including Delta Lake. A Standard cluster requires a minimum of one Spark worker to run Spark jobs.
A single node cluster means only one DataNode running and setting up all the NameNode, DataNode, ResourceManager, and NodeManager on a single machine. This is used for studying and testing purposes.
My 2 cents.
By default, Hadoop is configured to run in a non-distributed or standalone mode, as a single Java process. There are no daemons running and everything runs in a single JVM instance. HDFS is not used.
You don't have to do anything as far as configuration is concerned, except the JAVA_HOME. Just download the tarball, unzip it, and you are good to go.
The Hadoop daemons run on a local machine, thus simulating a cluster on a small scale. Different Hadoop daemons run in different JVM instances, but on a single machine. HDFS is used instead of local FS.
As far as pseudo-distributed setup is concerned, you need to set at least following 2 properties along with JAVA_HOME:
fs.default.name in core-site.xml.
mapred.job.tracker in mapred-site.xml.
You could have multiple datanodes and tasktrackers, but that doesn't make much sense on a single machine.
HTH
153
A single node setup is one where you have (presumably) one datanode and one tasktracker on a single machine.
A pseudo-distributed setup is where you have multiple datanodes and (presumably) tasktrackers on a single machine. So you have multiple instances of a datanode service running on a single machine to emulate a multi-node cluster.
4
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
