HDFSRemoteManager

Description

Use this element for encapsulating the parameters required to connect to an Hadoop Distributed File System (HDFS). Hadoop Distributed File System is a Java-based distributed file system that provides scalable and reliable data storage that is designed to span large clusters of commodity servers. It allows to store and process big data in a distributed environment across clusters of computers. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. HDFS follows the master-slave architecture and it has the following elements:

- Namenode: acts as the "master" server. It manages the file system namespace and regulates client’s access to files stored in the datanodes. - Datanode: where HDFS stores the data that are replicated in the nodes of the cluster. Datanodes perform read-write operations on the file systems and perform operations such as block creation, deletion, and replication according to the instructions of the namenode. - Secondary Namenode: is a separate service that keeps a copy of both the edit logs, and filesystem image, merging them periodically to keep the size reasonable.

VulCon / GV Console Configuration

If the target directory is on a HDFS file system, you can define the parameters for connection.

The HDFSRemoteManager Element is used by RemoteFileSystemMonitor and remotemanager-call. It has the following attributes:

Attribute	Type	Description
type	fixed	This attribute must assume the value remote-manager.
class	fixed	This attribute must assume the value it.greenvulcano.util.remotefs.hdfs.HDFSRemoteManager.
connectionURL	required	Server host name and port to contact HDFS. The entire URI is passed to the FileSystem instance's initialize method. Example: hdfs://[IP_NAME_NOME]:[PORT_NAME_NODE]. [1]
username	required	User name used to access to the HDFS file system.
password	required	User password. #Encrypted
autoConnect	optional	If true the instance use autoconnect/disconnect at each method invocation. Default: false.