hadoop metadata management tools

Hadoop Foundation----Hadoop Combat (vi)-----HADOOP management Tools---Cloudera Manager---CDH introduction We have already learned about CDH in the last article, we will install CDH5.8 for the following study. CDH5.8 is now a relatively new version of

Machine EnvironmentUbuntu 14.10 64-bit | | OpenJDK-7 | | Scala-2.10.4Fleet OverviewHadoop-2.6.0 | | HBase-1.0.0 | | Spark-1.2.0 | | Zookeeper-3.4.6 | | hue-3.8.1About Hue (from the network):UE is an open-source Apache Hadoop UI system that was first evolved by Cloudera desktop and contributed by Cloudera to the open source community, which is based on the Python web framework Django implementation. By using hue we can interact with the

Description :Hadoop Cluster management tools Datablockscanner Practical Detailed learning notesDatablockscanner a block scanner running on Datanode to periodically detect current Datanode all of the nodes on the Block to detect and fix problematic blocks in a timely manner before the client reads the problematic block. It has a list of all the blocks that are m

1 PrefaceFirst you have to accompany HBase, you can see http://www.cnblogs.com/liuchangchun/p/4096891.html, fully distributed similar2 HBase Configure 2.1 HUE profile settings, locate the HBase label, and configure the following# comma-separated List of HBase Thrift servers forClusters in the format of ' (Name|host:port) '. # Use full hostname with security. # If using Kerberos we assume GSSAPI SASL, not PLAIN. Hbase_clusters= (cluster1|spark-1421-0002:9090) # hbase configuration directory, wh

. Remember, try to make users work less. Users also want different toolset and systems to be used together-for example, hadoop and non-hadoop systems. As a hadoop user, there are clear requirements for the interoperability of different tools on hadoop clusters: hive, pig, ca

warehouse tools needed to complete data extraction, transformation and loading, OLAP analysis and data mining. As shown in the following figure, its typical structure consists of the operating environment layer, the Data Warehouse layer and the business layer. The first layer (operating environment layer) refers to the OLTP system and some external data sources of the business in the whole enterprise; The second layer is a data warehouse layer compo

customers and improve customer relationships. In the same way, the metadata management system also aims to make better use of data. The customer has a life cycle, such as when the customer is served by the enterprise, when the customer is detached from the enterprise, and what status the customer is in. The same is true for the data, when the data is generated, and when it is used by the user, status chang

meta-data management is essential in the process of data processing and warehouse construction, OEMM can address a variety of key business and technical challenges in the metadata management process, including how to manage metadata, understand the downstream impact of change data, and OEMM stand out in the browser fro

server. Allocate a region to the region server. It is responsible for load balancing of the region server. It discovers the invalid region server and re-allocates the region on it. 3) regionserver The region server maintains the Region allocated to it by the master and processes IO requests to these region. The region server is responsible for splitting the region that becomes too large during running. 4) Client Contains the interface for accessing hbase. The client maintains some caches t

When using hadoop for big data analysis and processing, you must first make sure that you configure, deploy, and manage clusters. This is neither easy nor fun, but is loved by developers. This article provides five tools to help you achieve this. Apache ambari Apache ambari is an open-source project for hadoop monitoring, man