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What are the various methods and tools that can be used in monitoring the performance of a Hadoop cluster?

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What are the various methods and tools that can be used in monitoring the performance of a Hadoop cluster?

HDFS metrics (NameNode metrics and DataNode metrics) MapReduce counters. YARN metrics. ZooKeeper metrics.

How the NameNode keep track of the data nodes in the Hadoop cluster?

NameNode only stores the metadata of HDFS – the directory tree of all files in the file system, and tracks the files across the cluster. NameNode does not store the actual data or the dataset. NameNode is usually configured with a lot of memory (RAM). Because the block locations are help in main memory.

How is Hadoop performance measured?

To measure the performance we will set up a Hadoop cluster with many nodes and use the file TestDFSIO. java of the Hadoop version 0.18. 3 which gives us the data throughput, average I/O rate and I/O rate standard deviation. The HDFS writing performance scales well on both small and big data set.

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How do I know if Hadoop NameNode is running?

To check Hadoop daemons are running or not, what you can do is just run the jps command in the shell. You just have to type ‘jps’ (make sure JDK is installed in your system). It lists all the running java processes and will list out the Hadoop daemons that are running.

Which of the following are Cloudera management services?

Cloudera Management Service

  • Host Monitor – collects health and metric information about hosts.
  • Service Monitor – collects health and metric information about services and activity information from the YARN and Impala services.

How does NameNode work in Hadoop?

The NameNode is the centerpiece of an HDFS file system. It keeps the directory tree of all files in the file system, and tracks where across the cluster the file data is kept. The NameNode is a Single Point of Failure for the HDFS Cluster. When the NameNode goes down, the file system goes offline.

What is NameNode and data node in Hadoop?

The main difference between NameNode and DataNode in Hadoop is that the NameNode is the master node in Hadoop Distributed File System (HDFS) that manages the file system metadata while the DataNode is a slave node in Hadoop distributed file system that stores the actual data as instructed by the NameNode.

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What should I monitor Hadoop?

Best Monitoring Tools for Hadoop

  • HDFS Metrics. NameNodes and DataNodes. NameNode-emitted metrics. NameNode JVM Metrics.
  • MapReduce Counters. Built-In MapReduce Counters. Job Counters. Task Counters.
  • YARN Metrics. Cluster Metrics. Application metrics. NodeManager metrics.
  • ZooKeeper Metrics. How to Collect Zookeeper Metrics.

How do I check my NameNode?

To determine the correct web port of the NameNode, do the following:

  1. Open the hdfs-default. xml file in the hadoop/conf/app directory.
  2. Look for the dfs. namenode.
  3. This parameter is configured with the IP address and base port where the DFS NameNode web user interface listens on.

What mechanisms Hadoop uses to make NameNode resilient to failure?

Q 17 – What mechanisms Hadoop uses to make namenode resilient to failure. A – Take backup of filesystem metadata to a local disk and a remote NFS mount.

What is the best performance monitoring tool for Hadoop?

Dynatrace – Application performance management software with Hadoop monitoring – with NameNode/DataNode metrics, dashboards, analytics, custom alerts, and more. Dynatrace provides a high-level overview of the main Hadoop components within your cluster. Enhanced insights are available for HDFS and MapReduce.

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How do I monitor Apache Hadoop?

LogicMonitor is an infrastructure monitoring platform that can be used for monitoring Apache Hadoop. LogicMonitor comes with a Hadoop package that can monitor HDFS NameNode, HDFS DataNode, Yarn, and MapReduce metrics.

What is Hadoop and why should you care?

From an operations perspective, Hadoop clusters are incredibly resilient in the face of system failures. Hadoop was designed with failure in mind and can tolerate entire racks going down. Monitoring Hadoop requires a different mindset than monitoring something like RabbitMQ —DataNodes and NodeManagers should be treated like cattle.

How do I add more blocks to a Hadoop cluster?

If your cluster is approaching the limits of block capacity, you can easily add more by bringing up a new DataNode and adding it to the pool, or adding more disks to existing nodes. Once added, you can use the Hadoop balancer to balance the distribution of blocks across DataNodes.