hive load data from hdfs

Note: Original from http://blog.csdn.net/lifuxiangcaohui/article/details/40589881 Today we'll talk about three different ways to export data in hive.Depending on where they are exported, these methods are divided into three types:(1), export to the local file system;(2), export to HDFs;(3), export to another table in hive.In order to avoid the simple text, I will use the command to explain step-by-step. fir

. Importjobbase:transferred 288 bytes in 35.2792 seconds (8.1635 bytes/sec) 15/01/1720:28:54 INFO MapReduce. Importjobbase:retrieved 7 Records.Iv. viewing data on an import HDFs[Email protected] ~]$ Hadoop Fs-cat/output/sqoop/*56,hua,hanyun, Male, open, 2013-12-02,0,158,feng,123456, male, open, 2013-11-22,0,059,test,123456, male, open, 2014-03-05,58,060,user1,123456, male, open, 2014-06-26,66,061,user2,123,

that time, including Hadoop is not a certification mechanism, now running on the company's Hadoop cluster needs to use Kerberos authentication, this piece of oneself is not familiar with, still just know how to use, So there is a need to fill in the knowledge about Kerberos authentication.The preparation has already been done, first I have tested the process using MYSQ as the data source using Mondrian as the MDX query engine, and then recorded the F

= $HIVE _home/bin: $PATH 3. Create Hive folder in HDFs $ $HADOOP _home/bin/hadoop fs-mkdir/tmp$ $HADOOP _home/bin/hadoop Fs-mkdir/user/hive/warehouse$ $HADOOP _home/bin/hadoop fs-chmod g+w/tmp$ $HADOOP _home/bin/hadoop fs-chmod G+w/user/hive/warehouse 4. Start

Mongodb Synchronizing data to Hive (ii)1. OverviewThe previous article mainly introduced the mongodb-based, through the direct connection MongoDB way data mapping to carry on the data query, but that way will have the influence on the online database, so today introduces the second way-bson-based, Even if you export th

HDFs to MySQLCsv/txt files to HDFsMySQL to HDFsMapping of Hive to HDFs:drop table if exists emp;CREATE TABLE emp (IDintComment'ID', Emp_namestringComment'name', Jobstring) Comment'Career'row format delimited--stored asrcfile Location'/user/hive/warehouse/emp';Stored as keyword, hive currently supports three different w

Brief mention: Hive is a storage structure tool that can query the files in Hadoop in a SQL-like way, or let developers familiar with Mapper/reduce do custom actions, which, for one, is simply a parsing engine, Parsing the HIVEQL statement into a job task allows Hadoop to perform operations; HDFs directory/file, separate folders by table name. If it is a partitioned table, the partition value is a subfolde

function of hive, it can do more complicated SQL query operation.Impala provides an interactive SQL for direct querying of data stored in HDFs, HBase. In addition to using the same unified storage platform as Hive, Impala also uses the same metadata, SQL syntax (Hive SQL),

:/home/zhouhh/hive-0.8.1/lib/hive-common-0.8.1.jar! Hive-log4j.properties12/07/20 16:02:48 INFO hive. HiveImport: Hive history file =/home/zhouhh/hive-0.8.1/logs/hive_job_log_zhouhh_201207201602_1448253330.txt12/07/20 16:02:53 INF

it.This parameter has the following meanings:The HDFS balancer detects over-or under- utilized DataNode in the clusterand moves data blocks between these DataNode to ensure load balancing. If the balance operation is not bandwidth constrained, it will quickly preempt all network resources and will not reserve resources for Mapreduce jobs or

:02:53 INFO Hive. Hiveimport:time taken:4.322 seconds12/07/20 16:02:53 INFO Hive. hiveimport:loading Data to Table Default.mysql_award12/07/20 16:02:53 INFO Hive. Hiveimport:deleted Hdfs://hadoop46:9200/user/hive/warehouse/mysql_a

In the previous article "using Sqoop for data exchange between MySQL and DHFS systems", we mentioned that sqoop allows data exchange between RDBMS and HDFS and supports importing data from mysql. In the previous article "using Sqoop for data exchange between MySQL and DHFS s

can import the data to hive. Assume that the command is executed today. Load data local inpath'/Data/login/20120713 /*'Overwrite into Table login partition (Dt ='20120713'); After successful execution, the converted files are uploaded to the/user/

Transferred from: http://lxw1234.com/archives/2015/09/484.htmKeywords: Hive replication tableThere are times when the need to replicate tables is encountered in hive, which refers to duplicating table structures and data.If it is for a non-partitioned table, it is easy to use the CREATE TABLE new_table as SELECT * from old_table;So what if it's a partitioned table?The first way to think of it might be:First

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

queries, such as Apache Drill, Cloudera Impala, and Stinger Initiative, which are supported by the next-generation Resource Management Apache YARN. To support such increasingly demanding real-time operations, we are releasing a new MySQL Applier for Hadoop (MySQL Applier for Hadoop) component. It can copy changed transactions in MySQL to Hadoop/Hive/HDFS. The Applier component complements existing connecti

First, Hive does not have a dedicated data storage format and does not index the data, and users can organize the tables in hive very freely, simply by telling the column separators and row separators in the hive data when creatin

How to import MongoDB data into hive. Principle: By default, any table created in Hive is hdfs-based; That's, the metadata and underlying rows of data associated with the table are stored in HDFS. Mongo-hadoop now supports the cre

Tags: file uri ora shel ACL created address multiple arcBasic useAs in the shell script below: #Oracle的连接字符串, which contains the Oracle's address, SID, and port numberConnecturl=jdbc:oracle:thin:@20.135.60.21:1521:dwrac2#使用的用户名Oraclename=kkaa#使用的密码Oraclepassword=kkaa123#需要从Oracle中导入的表名Oralcetablename=tt#需要从Oracle中导入的表中的字段名Columns=area_id,team_name#将Oracle中的数据导入到HDFS后的存放路径hdfspath=apps/as/hive/$oralceTableNa

> put ' user ', ' zhangsan ', ' account:idcard ', ' 420923156366998855 '; HBase (Main): 004:0* put ' user ', ' Lisi ', ' account:idcard ', ' 520369856366998855 '; HBase (Main): 005:0* put ' user ', ' Lisi ', ' account:country ', ' she '; Hive> Select Key, Idcard,password,country,name, passport,province,city,age,sex,id from Hbase_user; OK Lisi 520369856366998855 654321 Lisi 96857123123231 Guangdong Shenzhen 38 Women 002 Zhangsan 420923156366998855 12