sqoop import to hive

After the project was completed, we found the tragedy. By default, sqoop was used to list data tables from Oracle databases. If the data accuracy is greater than 15 digits, some fields in the imported table are of the double type by default. As a result, more than 16 fields are imported to hive. The query time is only 15-bit precise. Sorry, remember. Hadoop cluster-based

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--conne

Tags: des style blog http ar os using SP onThe 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/-

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 t

Sqoop 1.4.6 Execution method Sqoop--options-file options1 1.hdfstomysql export --connect jdbc:mysql://bigdatacloud:3306/test --username root -- Password 123 --table hdfstomysql --columns id,name,age- m 1 --export-dir Hdfs://mycluster/hdfstomysql 2.mysqltohive Import --connect jdbc:mysql://bigdatacloud:3306/test --username Root --password 123 --target-dir

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 lis

1. Import data from MySQL into hiveSqoop Import--connect Jdbc:mysql://localhost:3306/sqoop--direct--username root--password 123456-- Table Tb1--hive-table tb1--hive-import-m 1Where--table tb1 is a table in the MySQL

Org.apache.hadoop.mapred.YarnChild.main (Yarnchild.java:158)caused By:java.lang.RuntimeException:Can ' t parse input data: ' 2,hello,456,0 'At User_info_copy.__loadfromfields (User_info_copy.java:335) at User_info_copy.parse (User_info_copy.java:268) at Org.apache.sqoop.mapreduce.TextExportMapper.map (Textexportmapper.java: the) ... Tenmorecaused by:java.lang.NumberFormatException:For input string: "2,hello,456,0"At java.lang.NumberFormatException.forInputString (Numberformatexception.java:

If you specify n as the line break imported by sqoop, if the value of a string field in mysql contains n, sqoop imports an additional line of records. There is an option-hive-drop-import-delimsDropsn, r, and1fromstringfieldswhenimportingtoHive. If you specify \ n as the line break for

-agent.sinks.hdfs-write.type = HDFs Hdfs-agent.sinks.hdfs-write.hdfs.path = hdfs://namenode/user/usera/test/ Hdfs-agent.sinks.hdfs-write.hdfs.writeformat=text # Bind the source and sink to the channel Hdfs-agent.sources.avro-collect.channels = Ch1 Hdfs-agent.sinks.hdfs-write.channel = Ch1 Start the conf2.conf first, then start conf1.conf agent. Because The Avro source should start first then Avro Sink can connect to it. #when use memory change, issue is: Org.apache.flume.ChannelException:Unabl

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

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 addressCourse Presentation ( Big Data technology is very wide, has been online for you training solutions!) ):Get video material and training answer

of the command, observe the directory of HDFs/user/{user_name}, there will be a folder is AA, there is a file is part-m-00000. The content of the file is the contents of the data table AA, and the fields are separated by tabs. To view files on HDFsHadoop fs-cat/user/jzyc/worktable/part-m-00000HDFs exported to MySQLExport the data from the previous step to HDFs into MySQL. We are known to use tab-delimited. So, we now create a data table in database flowdb called Worktable_hdfs, which has

I've described two ways in which hive imports analysis results into MySQL tables, respectively: Sqoop import and Using hive, MySQL JDBC driver, now I'm going to introduce a third, and use a lot more ways--using hive custom Functions ( UDF or genericudf) inserts each record

Tags: res int lis Address Char class nbsp HDFs--First, the data of a MySQL table is imported into HDFs using Sqoop1.1, first in MySQL to prepare a test table Mysql> descUser_info;+-----------+-------------+------+-----+---------+-------+ |Field|Type| Null | Key | Default |Extra| +-----------+-------------+------+-----+---------+-------+ |Id| int( One)|YES| | NULL | | | user_name | varchar( -)|YES| | NULL | | |Age| int( One)|YES| | NULL | | |Address| varchar

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

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

Max connections:100 New connection is successfully created with validation status FINE and persistent ID 1 Step three: Create a job I tried the update command here, so I entered the wrong tablename the first time I created the job: sqoop:000> Create Job Required argument--xid is missing. sqoop:000> Create job--xid 1--type Import Creating job for connecti

Import incremental data from the basic business table in Oracle to Hive and merge it with the current full table into the latest full table. Import Oracle tables to Hive through Sqoop to simulate full scale and Import incremental

Tags: sqoop hiveDemandImport the Business base table Delta data from Oracle into Hive, merging with the current full scale into the latest full scale. * * * Welcome reprint, please indicate the source * * * http://blog.csdn.net/u010967382/article/details/38735381Designthree sheets involved: Full scale: a full-scale base data table with the last synchronization time saved Delta Tables : Increm