apache sqoop

1. List all databases in MySQL database Sqoop list-databases--connect jdbc:mysql://localhost:3306/-username Dyh-password 000000 2. Connect MySQL and list the tables in the database Sqoop list-tables--connect jdbc:mysql://localhost:3306/test--username dyh--password 000000 3. Copy the table structure of the relational data into hive Sqoop create-hive-table--connect

The error tolerance of Sqoop itself depends on Hadoop. Here we focus on the processing of Sqoop transmission task failure. Specifically, how does the focus solve the data consistency problem caused by the failure of the transmission task in Sqoop? For A transfer task, data is transmitted from A to B. If the transfer task fails, the statuses of A and B should be c

Use 1 MySQL import data to HDFs 1.1./sqoop Import--connect jdbc:mysql://192.168.116.132:3306/sqoop--username root--password 123456--table test_user --target-dir/sqoop/test_user-m 2--fields-terminated-by "\ T"--columns "id,name"--where ' id>2 and Id --connect Connection Database --username Users --password Password --table Table Name --target-dir Target direc

Tags: sqoop1.997Link: Http://pan.baidu.com/s/1gfHnaVL Password: 7j12Mysql-connector version 5.1.32If you encounter some problems during the installation process, refer to http://dbspace.blog.51cto.com/6873717/1875955, some of which are the solution to the problemDownload and install:cd/usr/local/TAR-ZXVF sqoop2-1.99.3-cdh5.0.0.tar.gzMV sqoop2-1.99.3-cdh5.0.0 SqoopAdd SQOOP2 to the system environment variable:Export Sqoop_home=/usr/local/sqoopExport catalina_base= $

Tags: sqoop hive migration between Hadoop relational database and HDFsFirst, Installation: Upload to a node of the Hadoop cluster, unzip the Sqoop compressed package to use directly; Second, the configuration: Copy the connection drive of the database (such as Oracle,MySQL) that need to connect to the Lib in the sqoop directory ; Third, configure MySQL remote

Data synchronization between a relational database and a non-Relational Database 1. Without sqoop MySQL --> hive 1. Use naivacat (Tool) to export tables in the database (primary TAB/T should be used for export) 2. Use winscp (Tool) to upload data to a specified Linux directory 3. Create Table in hive first (idfa string) Row format delimited fields terminated by '\ t '" 4. hive-e "load data local inpath 't1.txt 'into Table T1" (If there is data in the

1, import incremental imports of the official description2, test sqoop increment ImportIncremental import in the enterprise, generally need to execute frequently, such as one weeks to perform an incremental import, so the incremental import method needs to be executed several times, and each execution, and write the corresponding execution command, it is more troublesome. And Sqoop provides a great tool for

Use sqoop to import mysql Data to hadoop The installation and configuration of hadoop will not be discussed here.Sqoop installation is also very simple. After sqoop is installed, you can test whether it can be connected to mysql (Note: The jar package of mysql should be placed under SQOOP_HOME/lib): sqoop list-databases -- connect jdbc: mysql: // 192.168.1.109: 3

master HBase Enterprise-level development and management• Ability to master pig Enterprise-level development and management• Ability to master hive Enterprise-level development and management• Ability to use Sqoop to freely convert data from traditional relational databases and HDFs• Ability to collect and manage distributed logs using Flume• Ability to master the entire process of analysis, development, and deployment of Hadoop complete projects

Use Sqoop to import MySQL Data to Hadoop The installation and configuration of Hadoop will not be discussed here.Sqoop installation is also very simple. After Sqoop is installed and used, you can test whether it can be connected to mysql (Note: The jar package of mysql should be placed under SQOOP_HOME/lib ): sqoop list-databases -- connect jdbc: mysql: // 192.16

Tags: mysql hive jdbc Hadoop sqoopThe installation configuration of Hadoop is not spoken here.The installation of Sqoop is also very simple. After you complete the installation of SQOOP, you can test if you can connect to MySQL (note: The MySQL Jar pack is to be placed under Sqoop_home/lib): SQOOP list-databases--connect jdbc:mysql://192.168.1.109:3306/--username

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 1. Manually import using MySQL tools The simplest way to import MySQL's exported data into HDFs is to use command-line tools and MySQL statements. To export the contents of the entire data table or the entire database

internal three components:A) source: Acquisition source for docking with the data source for data acquisitionb) Sink: sink, collect data for the purpose of transmitting data to the next level agent or transfer data to the final storage systemc) Channel:angent Internal data transfer channel for passing data from source to sinkFlume supports numerous source and sink typesF Installation deployment for Lume1, Flume installation is very simple, only need to decompress, of course, if there is alread