apache sqoop

Tags: hiveOne, sqoop in synchronizing MySQL table structure to hiveSqoop create-hive-table--connect jdbc:mysql://ip:3306/sampledata--table t1--username Dev--password 1234--hive-table T1;Execution to this step exits, but in Hadoop's HDFs/hive/warehouse/directory is not found T1 table directory,But the normal execution is done as follows:The error is that Hive's jar package is missing.All of the jar packages should be like this:This is all the hadoop-2.

One: Two ways to Sqoop incremental importIncremental Import Arguments: Argument Description --check-column (col) Specifies the column to is examined when determining which rows to import. (the column should not being of type Char/nchar/varchar/varnchar/longvarchar/longnvarchar) --incremental (mode) Specifies how Sqoop determines

database, a NoSQL database that provides the ability to read and write like other databases, Hadoop does not meet real-time needs, and HBase is ready to meet. If you need real-time access to some data, put it into hbase.You can use hive as a static data warehouse, HBase as the data store, and put some data that will change. In hive, the normal table is stored in HDFs, and you can specify the data storage location by creating external table appearances, either the system directory or the Elastic

Label:First, what is Sqoop Sqoop is an open source tool that is used primarily in Hadoop (Hive) and traditional databases (MySQL, PostgreSQL ...) Data can be transferred from one relational database (such as MySQL, Oracle, Postgres, etc.) to the HDFs in Hadoop, or the data in HDFs can be directed into a relational database. Second, the characteristics of Sqoop On

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

Tags: DSL java style order man LAN 2.7 CLI policyObjectiveThis article is primarily a summary of the pits that were encountered when importing data from MySQL to hive with Sqoop. Environment: System: Centos 6.5 hadoop:apache,2.7.3 mysql:5.1.73 jdk:1.8 sqoop:1.4.7 Hadoop runs in pseudo-distributed mode. One, the import command usedI mainly refer to an article to test, Sqoop:im

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

Today using Sqoop to import a table, I went to the database of data volume of 650 data, but I import data into the Hive table when there are 563 data, it is very strange, I think the data is wrong, and then more than a few times to import data discovery is the same problem.Then I went to the value of the data field ID and found out how the data that built the primary key could be empty. Then I went to look at the data in the database found that the da

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

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.