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Sqoop import from MySQL to HDFs

Tags: blog using os file data io ar line1. mysql--Create a databaseCreate database logs;--UsingUse logs;--Create a tableCREATE TABLE Weblogs (MD5 varchar (32),URL varchar (64),Request_date date,Request_time time,IP varchar (15));--loading data from an external text fileLoad data infile '/path/weblogs_entries.txt ' into table weblogs fields terminated by ' \ t ' lines terminated by ' \ r \ n ';--QuerySELECT * from Weblogs;--Export MySQL data to HDFs Sqoop

About exporting HDFs data using sqoop Export to MySQL Chinese garbled problem

Label:A few days ago using Sqoop to import HDFs data into MySQL, I found that the Chinese guide will be garbled, my execution command is: Sqoop export--connect "Jdbc:mysql://10.19.157.*****?useunicode=truecharacterencoding=utf-8"--table Msg_rule_ Copy--username root--password root***--export-dir $path--hadoop-home $home--direct At first I thought it was the MySQL code is not set up the problem, the later fo

ERROR:oracle.jdbc.driver.T4CPreparedStatement.isClosed () Z (Sqoop data from Oralce to hive) resolved

Label:[Email protected] ~]$ sqoop import-connect jdbc:oracle:thin:@192.168.8.228:1521:bonc-username Aq-password bonc1234-t Able Orcl_test1-hive-import-Hive-database test-hive-table orcl_hive_test1-null-string "-null-non-string"-M 115/06/11 17:05:58 INFO Sqoop. Sqoop:running Sqoop version:1.4.4-cdh5.0.015/06/11 17:05:58 WARN tool. Basesqooptool:setting your passwo

Sqoop operation of HDFs exported to Oracle

Tags: style blog color java using IO strong fileNote: The table structure to be exported needs to be created before exporting. If the exported table does not exist in the database, it will be error, if repeated export, the data in the table will be repeated; create table Emp_demo "as select * from EMP where 1 = 2 ; create table Salgrade_demo as select * from salgrade where 1 = 2 ; Export all fields of a table-- Connect JDBC:ORACLE:THIN:@192.168.1.107:1521:ORCL \ -- username SC

Hadoop Hive Sqoop Zookeeper hbase production Environment Log Statistics application case (hive article)

,mail_delays string,mail_dsn string, mail_status string) ROW FORMAT delimitedfields TERMINATED By ' | ' STORED as Textfile; "# # Delete Table# hive-e "Droptable maillog.izhenxin;"# # Import data into hive table# hive-e "LoadData LOCAL inpath '/opt/zhangdh/to_result.txt ' OVERWRITE into Tablemaillog.izhenxin;"# # Simple data Query# hive-e "Usemaillog;select * from Izhenxin_total limit 10;"# # with Hive statistics, the mapreduce process is executed# hive-e "Select Mail_domain,sum (case is mail_sta

Sqoop Process Detailed

1. Read the table structure to import the data, generate the run class, default is QueryResult, hit the jar package, and then submit it to Hadoop2. Set up the job, the main is to set the above sixth chapter of the various parameters3. This is where Hadoop executes the MapReduce to execute the import command,1) The first thing to do is to slice the data, i.e. DatasplitDatadrivendbinputformat.getsplits (Jobcontext Job)2) After splitting the range, write the range to readDatadrivendbinputformat.wri

Big Data high Salary training video tutorial Hadoop HBase Hive Storm Spark Sqoop Flume ZooKeeper Kafka Redis Cloud Computing

Training Big Data Architecture development!from zero-based to advanced, one-to-one training! [Technical qq:2937765541]--------------------------------------------------------------------------------------------------------------- ----------------------------Course System:get video material and training answer technical support addressCourse Presentation ( Big Data technology is very wide, has been online for you training solutions!) ):get video material and training answer technical support ad

Big Data Architecture Development Mining Analytics Hadoop HBase Hive Storm Spark Sqoop Flume ZooKeeper Kafka Redis MongoDB machine Learning cloud computing

Label:Training Big Data architecture development, mining and analysis! From zero-based to advanced, one-to-one training! [Technical qq:2937765541] --------------------------------------------------------------------------------------------------------------- ---------------------------- Course System: get video material and training answer technical support address Course Presentation ( Big Data technology is very wide, has been online for you training solutions!) ): get video material and tr

Data acquisition + Dispatch: Cdh5.8.0+mysql5.7.17+hadoop+sqoop+hbase+oozie+hue

-scm-agent# for a in {1..6}; Do ssh enc-bigdata0$a/opt/cm-5.8.0/etc/init.d/cloudera-scm-agent start; Done6. Problem: Cloudera-scm-agent failed to start: Unable to create the PidfileReason: Unable to create/opt/cm-5.8.0/run/cloudera-scm-agentWorkaround:# mkdir/opt/cm-5.8.0/run/cloudera-scm-agent# Chown-r Cloudera-scm:cloudera-scm/opt/cm-5.8.0/run/cloudera-scm-agent7. Access URL: http://IP:7180/(configuration CDH5.8.0)enc-bigdata0[1-6].enc.cn # #点击模式Note: It is important to modify the JDK home dir

Sqoop operation of Hive Export to Oracle

Tags: style blog color java io strong data forSample Data PreparationCreate a Dept table in HiveCreate Table int by ' \ t ' by ' \ n ' as Textfile;Import data:-- Connect JDBC:ORACLE:THIN:@192.168.1.107:1521:ORCL \ -- username SCOTT--password Tiger \ -- table DEPT \--hive-overwrite--hive-import --hive-table DEPT \-- fields-terminated-by ' \ t '--lines-terminated-by ' \ n ' \ - 3;Hive Export to OracleTwo steps are required:First step: Write to HDFs firstInsert ' /user/hadoop/dept_hive_export

Multiple character set coexistence case sqoop from MySQL import hbase Chinese garbled solve

Tags: style http io os ar for Data SP codeRecently in doing Binlog log capture synchronization to the data platform. The initial need for Sqoop to initialize data from the Library data table into HBase, the entire process needs to be automated to minimize human intervention. However, for historical reasons, there are two types of database (tables) in the character set format on the line, and the data imported into hbase needs to be stored uniformly in

Python script uses Sqoop to import MySQL data into hive

Tags: Data import description process Hal host ONS pac mysq python scriptTurn: 53064123Using Python to import data from the MySQL database into hive, the process is to manipulate sqoop in Python language.#!/usr/bin/env python#Coding:utf-8# --------------------------------#Created by Coco on 16/2/23# ---------------------------------#Comment: Main function Description: Initialize the business databaseImportOSImportPyhs2conn=pyhs2.connect (host="192.16

Use of Sqoop (Mysql to HBase)

Label:MySQL data is recently needed to be integrated into HBase, using MapReduce to create a job to import MySQL data. In the process of accessing the data, we found the tools that open source tools Sqoop (relational database and hdfs,hbase,hive, etc.) import each other, So you're ready to try and see if you can meet the current data transfer requirements. Sqoop import--connect jdbc:mysql://192.168.100.**/d

Linux, hive, Sqoop common scripts

through the standard output of hive via a third-party program call.Eg: $HIVE _home/bin/hive-s-E ' select A.col from Tab1 a ' > tab1.csvThree, sqoop commonly used commands1. List all databases in MySQL databaseSqoop list-databases--connect jdbc:mysql://localhost:3306/-username 111-password 1112. Connect MySQL and list the tables in the databaseSqoop list-tables--connect jdbc:mysql://localhost:3306/test--username 111--password 1113. Copy the table stru

Using Sqoop to import MySQL data into hive

Tags: sqoopReferenceHttp://www.cnblogs.com/iPeng0564/p/3215055.htmlHttp://www.tuicool.com/articles/j2yayyjhttp://blog.csdn.net/jxlhc09/article/details/168568731.list databasesSqoop list-databases--connect jdbc:mysql://192.168.2.1:3306/--username sqoop--password sqoop2. Create a hive table with SqoopSqoop create-hive-table--connect jdbc:mysql://xx:3306/test?characterencoding=utf-8--table employee--userna Me Root-password ' xx '--hive-database db_hive_e

Detailed summary using Sqoop to import and export data from hdfs/hive/hbase to Mysql/oracle

Tags: Hadoop sqoopFirst, using Sqoop to import data from MySQL into the hdfs/hive/hbaseSecond, the use of Sqoop will be the data in the Hdfs/hive/hbaseExportto MySQL 2.3 NBSP; hbase data exported to MySQL There is no immediate command to direct data from HBase to MySQL, but you can export data from hbase to HDFs before exporting the data to MySQL. Iii. using Sqoop

Using Sqoop to extract data between a relational database and Hadoop

(i) importing from a relational database to HDFs1. Keep the following parameters as Import.scriptImport--connectJdbc:mysql://192.168.1.14:3306/test--usernameRoot--password1234-M1--null-string‘‘--tableUser--columns"Id,username,age"--target-dir/user/root/sqoop_test--This directory cannot exist2. Execute Sqoop--options-file./import.script(ii) Import from HDFs to a relational database1. Keep the following parameters as Export.scriptExport--connectJdbc:mys

Direct write-back of the Sparksql data stream directly with CacheManager without using the Sqoop process

Tags: TCO tac man rem Eid name Apach Auth RMIPreviously used Sqoop to complete data extraction from the generated HDFS data store to Oracle's database: Sqoop Extract statement:Sqoop export--connect "Jdbc:oracle:thin: @ip:p ort:sid"--username user name--password password--table sid. Table name--export-dir Hdfs://na MESERVICE1/USER/XXX (HDFs address)--fields-terminated-by "\001"--null-non-string "--null-strin

Resolves an error when the--split-by parameter is a date type when Sqoop importing an Oracle table: Ora-01861:literal does not match format string

(T4cpreparedstatement.java:884) at Oracle.jdbc.driver.OracleStatement.executeMaybeDescribe (Oraclestatement.java:1167) at Oracle.jdbc.driver.OracleStatement.doExecuteWithTimeout (Oraclestatement.java:1289) at Oracle.jdbc.driver.OraclePreparedStatement.executeInternal (Oraclepreparedstatement.java:3584) at Oracle.jdbc.driver.OraclePreparedStatement.executeQuery (Oraclepreparedstatement.java:3628) at Oracle.jdbc.driver.OraclePreparedStatementWrapper.executeQuery (Oraclepreparedstatementwrapper.ja

HBase combines hive and sqoop to implement data guidance for MySQL

( Span class= "string" style= "Color:blue" > "hbase.columns.mapping" =": Key,cf:genera_type,cf:install_type,cf:label,cf:meid,cf:model,cf:pkg_name,cf:specific_type " ) tblproperties ("hbase.table.name" = "Tb_yl_device_app_info2"); 3. Create a hive tableSQL code CREATE TABLE hive_device_app_real (row_key string,genera_type string,install_type String,label String,meid String,model string,pkg_name String,specific_type string) 4. External table data import into hive real

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