, optional.python2.x or later when running a mapreduce task using Hadoop streaming, the Python runtime is required, optional.Infrastructure Layer:The infrastructure layer consists of 2 parts: The Zookeeper cluster and the Hadoop cluster. It provides infrastructure services for the underlying platform layer, such as naming services, Distributed file Systems, MapReduce, and so on.(1) The zookeeper cluster is used for named mappings as a named server for Hadoop clusters, and the Task Scheduler cons
Preface
In many cases, we will meet the needs of data fusion, such as the original a cluster, b cluster, later administrators think there are 2 sets of clusters, data access is not convenient, so try to merge a A, a cluster of a larger cluster, their data are placed on the same cluster. One way to do this is with Hadoop. DistCp tool to copy
HIVE_HOME =/home/hadoop/hive-0.8.1At this time, we can perform the test. We primarily use hive for interaction. Actually, we submit data from a relational database to hive and save it to HDFS for big data computing.
Sqoop mainly includes the following commands or functions.
Codegen Import a table definition into Hive
When Hadoop 's HDFS cluster is used for a period of time, the disk usage of each DataNode node is definitely unbalanced, i.e. data skew at the data volume level,There are many ways to cause this:1. Add a new Datanode node2. human intervention reduces or increases the number of copies of dataWe all know that when the data
Preface
I have written many articles about data migration and introduced many tools and features related to HDFS, suchDistcp, viewfilesystemAnd so on. But the theme I want to talk about today has moved to another field.Data securityData security has always been a key concern for users. Therefore, data managers must follow the following principles:
The
1. Meta Data Management OverviewHDFs metadata, grouped by type, consists mainly of the following sections:1, the file, the directory of its own property information, such as file name, directory name, modify information and so on.2. Storing information about the information stored in the file, such as block information, block case, number of copies, etc.3, records the Datanode of HDFs information, for Datan
Tags: Big data Sqoop HDFS RDBMS MySQL[TOC]
RDBMS data timing acquisition to HDFS prefaceIn fact, it is not difficult to use sqoop timing from the MySQL import into HDFs, mainly the use of SQOOP commands and the operation of
Transferred from: http://blog.csdn.net/wzy0623/article/details/73650053First, why to use Flume in the past to build HAWQ Data Warehouse experimental environment, I use Sqoop extract from the MySQL database incrementally extract data to HDFs, and then use the HAWQ external table for access. This method requires only a small amount of configuration to complete the
It took some time to read the source code of HDFS. Yes.However, there have been a lot of parsing hadoop source code on the Internet, so we call it "edge material", that is, some scattered experiences and ideas.
In short, HDFS is divided into three parts:Namenode maintains the distribution of data on datanode and is also responsible for some scheduling tasks;Data
Big Data
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systems, and development techniques. More detailed is related to: Data collection (where to collect data, if the tool is collected, cleaned, transformed, then integrated, and loaded into the data warehouse as the basis for analysis); Data access-related databases and storage architectures such as: cloud storage, Distr
HDFS Data Integrity
To ensure data integrity, data verification technology is generally used:1. Parity Technology2. md5, sha1, and other verification technologies3. Cyclic Redundancy verification technology of CRC-324. ECC memory error correction and Verification Technology
HDFS
Atorg.apache.hadoop.hbase.regionserver.HRegionServer.getRegionByEncodedName (hregionserver.java:2786)
Atorg.apache.hadoop.hbase.regionserver.RSRpcServices.getRegion (rsrpcservices.java:922)
Atorg.apache.hadoop.hbase.regionserver.RSRpcServices.getRegionInfo (rsrpcservices.java:1204)
At Org.apache.hadoop.hbase.protobuf.generated.adminprotos$adminservice$2.callblockingmethod (AdminProtos.java : 20862)
4, solve the problem 3, the ZK on the/hbase directory deleted
Zkcli.sh-server hkweb24:14601,hkweb
Xshell run into the graphical interface in xmanager 1 sh spoon. SHCreate a new job1. write data into HDFs 1) kettle writes data to HDFs in LinuxDouble-click hadoop copy FilesRun this jobView data:1) kettle Write Data to
:
Architecture: Impala Technology is currently performing well, discarding the mapreduce design, combined with the HDFS cache can do better performance
Maturity: more mature
Efficiency: With parquet, performance is close to Hive+tez because it does not need to be started at a certain level of analysis faster than hive
Learning curve: Learning SQL and Impala itself, so the difficulty is general.
Summarize:
Impala has
Tags: exporting. NET size Data Conversion ref DIR username Nat tmpHive Summary (vii) hive four ways to import data (strongly recommended to see) Several methods of data export of Hive https://www.iteblog.com/archives/955 (strongly recommended to see) Import MySQL data into HDFs
-ng agent-c conf-f conf/netcat.conf-n a1-dflume.root.logger=info,console. Then at another terminal, use Telnet to send data: command: Telnet hadoop-maser 44444[[emailprotected] ~]# telnet hadoop-master 44444Trying 192.168.194.6...Connected to Hadoop-master. Escape character is ' ^] '. Displaying the above information indicates that the connection flume succeeded, and then enter: 12213213213ok12321313ok will receive the corresponding message in flume:
This case only applies to the data synchronization implementation between HDFs and MySQL.1, before compiling the installation note will release the following Setsharepath method in the path to your own installation path, the author of the/home/woody/datax/libs.2, RPM packaging, to modify the path in the *.spec file, Dataxpath, in addition, you may also need to comment out some of the assignment file code, s
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