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https://dzone.com/articles/enabling-jmx-monitoring-hadoop
Hadoop’s NameNode and JobTracker expose interesting metrics and statistics over the JMX. Hive seems not to expose anything intersting but it still might be useful to monitor its JVM or do ...
https://cwiki.apache.org/confluence/display/EAG/Hadoop+JMX+Monitoring+and+Alerting
Jan 19, 2017 · JMX sink should be developed according to Hadoop’s metrics interface and plug into the Hadoop runtime environment We tend to write the data into Kafka as a “distributed caching layer” to decouple the JMX client and the back-end storage system, and to avoid the storing latency of JMX …
https://stackoverflow.com/questions/59657045/how-to-enable-jmx-port-for-namenode-and-datanode-in-hadoop-from-ambari
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https://zookeeper.apache.org/doc/r3.1.2/zookeeperJMX.html
See Sun JMX Technology page to get started with JMX. See the JMX Management Guide for details on setting up local and remote management of VM instances. By default the included zkServer.sh supports only local management - review the linked document to enable support for remote management (beyond the scope of this document).
https://hadoop.apache.org/docs/r2.7.1/hadoop-project-dist/hadoop-common/Compatibility.html
Java Binary compatibility for end-user applications i.e. Apache Hadoop ABI. As Apache Hadoop revisions are upgraded end-users reasonably expect that their applications should continue to work without any modifications. This is fulfilled as a result of support API compatibility, Semantic compatibility and Wire compatibility.
https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsSnapshots.html
HDFS Snapshots are read-only point-in-time copies of the file system. Snapshots can be taken on a subtree of the file system or the entire file system. Some common use cases of snapshots are data backup, protection against user errors and disaster recovery. The implementation of …
https://en.wikipedia.org/wiki/Hadoop
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.Originally designed for computer clusters built from commodity ...Developer(s): Apache Software Foundation
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