sqoop split by

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

Sqoop imported hive field names from mysql, sqoophive There are some keyword restrictions in hive, so some field names are available in mysql, but it won't work when it comes to hive. For example, order must be changed to order1. The following lists some of the field names we found that cannot be used in hive. Order => order1 Sort => sort1 Reduce => performance1 Cast => cast1 Directory => directory1 How can I not query

Solution to the problem when the date type is poured into hive when the Oracle database is present1. Description of the problem:Using Sqoop to pour the Oracle data table into hive, the date data in Oracle will be truncated in seconds, leaving only ' yyyy-mm-dd ' instead of ' yyyy-mm-dd HH24:mi:ss ' format, followed by ' Hh24:mi: SS ' is automatically truncated, and this truncation can cause problems in parsing processing of time requirements to second

Tags: DB2 sqoopSqoop Execute Command:./sqoop import--connect "Jdbc:db2://10.105.4.55:50001/sccrm55"--username db2inst1--password db2opr2010--table WF_4G _billdetail_new_20140717--fetch-size 1000-m 1--target-dir/ext/ods/ods_rpt_day_det/20140717_1-- Fields-terminated-by ' '--lines-terminated-by ' \ n ' Error message:Crmd3n:/d2_data0/user/ocdc/bin/sqoop-1.4.2-cdh4.2.1/bin>minated-by ' '--lines-terminat

[Email protected] lib]#/sqoop import--connect jdbc:mysql://192.168.1.10:3306/itcast--username root--password 123-- Table Trade_detail--target-dir '/sqoop/td '--fields-terminated-by ' \ t '-bash:./sqoop:no such file or directory[Email protected] lib]# CD. /[[Email protected] sqoop-1.4.4]# CD bin[Email protected] bin]# Clear[Email protected] bin]#/

Simply write the steps to sqoop the order table into the HBase table.The following table:1. Open HBase through the hbase shell.2. Create an HBase tableCreate ' So ','o'3. Import the data of so table into HBase.Opt file:--connect: Database--username: Database user name--password: Database Password--table: Tables that need to be sqoop--columns: Columns in a tableTable in the--hbase-table:hbase--column-family

Org.apache.hadoop.mapreduce.task.MapContextImpl.nextKeyValue (Mapcontextimpl.java: the) at Org.apache.hadoop.mapreduce.lib.map.wrappedmapper$context.nextkeyvalue (Wrappedmapper.java: the) at Org.apache.hadoop.mapreduce.Mapper.run (Mapper.java:145) at Org.apache.sqoop.mapreduce.AutoProgressMapper.run (Autoprogressmapper.java: -) at Org.apache.hadoop.mapred.MapTask.runNewMapper (Maptask.java:787) at Org.apache.hadoop.mapred.MapTask.run (Maptask.java:341) at org.apache.hadoop.mapred.yarnchild$2. R

1, Ali Open source software: datax Datax is a heterogeneous data source offline Synchronization tool that is dedicated to achieving stable and efficient data synchronization between heterogeneous data sources including relational databases (MySQL, Oracle, etc.), HDFS, Hive, ODPS, HBase, FTP, and more. (Excerpt from Wikipedia) 2. Apache Open source software: Sqoop Sqoop (pronunciation: skup) is an open sourc

Label:# #以上完成后在h3机器上配置sqoop -1.4.4.bin__hadoop-2.0.4-alpha.tar.gzImporting the data from the users table in the MySQL test library on the host computer into HDFs, the default Sqoop 4 map runs mapreduce for import into HDFs, stored in the HDFs path to/user/root/users (User: Default Users, Root:mysql database user, test: Table name) directory with four output filesSqoop Import--connect jdbc:mysql://192.168.1.

Flume and Sqoop are Hadoop data integration and collection systems, both of which are positioned differently, following an introduction based on individual experience and understanding and everyone:FlumebyClouderadeveloped, there are two major products:Flume-ogand theFlume-ng,Flume-ogThe architecture is too complex, there will be data loss in the inquiring, so give up. Now we are using theFlume-ng, mainly log capture, this log can beTCPlog data for th

Recently, when importing data using Sqoop to HDF, the following error was reported:Find a lot of information on the Internet, found that there is a way to solve1. You have to be sure that you have to Sqoop to connect to your Linux MySQL database.2. You have to configure the Sqoop environment, make sure you can connect Hdoop, enter the

Test environment cdh5.4.8,hue3.7 (1) Enter the Hue interface, login, here to re-establish a Oozie account, using the default admin can also. (2) New task (3) New (4) Drag the SQOOP1 to the specified position (5) Write the Sqoop statement in the interface that you want to execute, click Add (6) Click on the gear, add sqoop to perform before the action needed to execute, here need to

[Author]: KwuSqoop handles Clob and Blob fields, Clob as large text in Oracle. The blob stores the binary file. This type of field is encountered when importing hive or HDFS requires special handling.1. measured frequently in OracleCREATE TABLE t_lob ( A INTEGER, B CLOB, C BLOB )Test dataInsert into T_lob (A, B, C) VALUES (1, ' Clob test ', To_blob (' 3456 '));2. Sqoop ScriptImport--append--connectjdbc:oracle:thin: @local

test: with Oozie, execute Sqoop action to import data from DB2 into the Hive partition table. Places to be aware of:1, to add hive.metastore.uris this parameter. Otherwise, the data cannot be loaded into the hive table. Also, if there is more than one such operation in an XML literal, this parameter needs to be configured in each action.2, be aware of the escape character problem in XML. here in my SQL, there is a less than sign that needs to be rewri

Label:Sqoop the data from MySQL to Hive and reported that the database access was denied. But the weird is, sqoop error is prompted to connect to the local MySQL was rejected, is not prompted to connect the target data MySQL is denied. I also connected to the zookeeper, will also be prompted to connect all the zookeeper host MySQL is denied. Log as below. In fact, these problems are a reason, that is, the target data is the MySQL limit zookeeper host

data_type category_id bigint category_name string category_level int default_import_categ_prior int user_import_categ_prior int default_eliminate_categ_prior int user_eliminate_categ_prior int update_time string The fields of the hive table are separated by \001, the rows are separated by \ n, and the empty fields are filled in \ n . Now you need to export the hive table pms

Reprint Please specify source: http://blog.csdn.net/l1028386804/article/details/46517039Sqoop is used to import and export data.(1) Import data from databases such as MySQL, Oracle, etc. into HDFs, Hive, HBase(2) Export data from HDFs, Hive and hbase to databases such as MySQL, Oracle, etc.1. Import data from MySQL to HDFs (default is/user/Sqoop import--connect jdbc:mysql://hadoop0:3306/hive --username root--password admin--table tbls-- Fields-termin

[Author]: KwuSqoop export data from the relational library to Hive,sqoop supports the number of conditions in the query relational library to the Hive Data Warehouse, and the fields do not need to match the fields in the Hive table.Specific implementation of the script:#!/bin/sh # Upload logs to HDFs today= ' date--date= ' 0 days ago ' +%y-%m-%d ' sqoop import--connect JDBC:MYSQL://10. 130.2.6:3306/bdc_te

First, using Sqoop to import data from MySQL into the hdfs/hive/hbaseIi. using Sqoop to export data from hdfs/hive/hbase to MySQL 2.3 NBSP; hbase data exported to MySQL There is no immediate command to direct data from HBase to MySQL. However, the data in HBase can be exported to HDFs first . Then export the data to MySQL.Iii. using Sqoop to import data fro

Tags: Import table temp mapred pre should export JDBC default modification The reason for this error is that a delimiter error is used between table fields in the specified hive for Sqoop read parsing to be incorrect. If the result of the MapReduce operation Rollup is performed by hive, the default delimiter is ' \001 ', otherwise the delimiter should be ' \ t ' if imported from an HDFs file. Here I am the result of hive performing the MapReduce analy