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"Hadoop" 16, learning hive operation statements

tableIn Hivecreate table t_emp(id int,name string,age int,dept_name string)ROW FORMAT DELIMITEDFIELDS TERMINATED BY ‘,‘;We build a text data file in LinuxEmp.txtImport dataLoading files into tablesHive does not does any transformation and loading data into tables. Load operations is currently pure copy/move operations that move datafiles into locations corresponding to Hive tables.LOAD DATA [LOCAL] inpath ' filepath ' [OVERWRITE] into TABLE tablename

Hadoop (10)-Hive installation vs. custom functions

(pubdate= ' 2010-08-22 ');Load data local inpath '/root/data.am ' into table beauty partition (nation= "USA");Select Nation, AVG (size) from the Beauties group by Nation ORDER by AVG (size);Two. UDFCustom UDF to inherit the Org.apache.hadoop.hive.ql.exec.UDF class implementation evaluatepublic class Areaudf extends Udf{private static MapCustom Function Call Procedure:1. Add a jar package (executed in the Hive command line)

Differences and scenarios for Hadoop, Hive, HBase

It's inevitable that Hadoop, Hive, HBase will inevitably be the only thing that has started learning big data recently. Here is a record of your own understanding of these 3: 1, Hadoop: It is a distributed computing + Distributed File system, the former is actually MapReduce, the latter is HDFs. The latter can be operated independently, the former can be used

Using hive query for error in Hadoop cluster

Today, when using hive to query the maximum value of a certain analysis data, there is a certain problem, in hive, the phenomenon is as follows:caused by:java.io.filenotfoundexception://http://slave1:50060/tasklog?attemptid=attempt_201501050454_0006_m_00001_1Then take a look at the Jobtracker log:2015-01-05 21:43:23,724 INFO Org.apache.hadoop.mapred.jobinprogress:job_201501052137_0004:nmaps=1 NReduces=1 max

Management of the Hive for Hadoop notes (telnet mode)

Management of Hive (iii) Management of Hive (iii) remote service start of Hive remote service Port number 10000 Starting mode:hive --service hiveserver (Note: When you log in to hive with JDBC or ODBC programs to manipulate data, you must choose the remote service startup mode or our program is not conn

Eclipse Integration hadoop+spark+hive Local development graphic

In the previous article we implemented Java+spark+hive+maven implementation and exception handling, the test instance is packaged to run in the Linux environment, but when the Windows system runs directly, there will be Hive related exception output, This article will help you integrate the Hadoop+spark+hive developmen

Migrate Hadoop data to Hive

Because a lot of data is on the Hadoop platform, when migrating data from the hadoop platform to the hive directory, the default delimiter of hive is \, In order to smooth migration, you must specify the data delimiter when creating a table. The syntax is as follows: Create table test (uid string, name string) row for

"Source" self-learning Hadoop from zero: Hive data import and export, cluster data migration

In the example of importing other table data into a table, we created a new table score1 and inserted the data into the score1 with the SQL statement. This is just a list of the above steps. Inserting data Insert into table score1 partition (openingtime=201509values (1,' (2,'a'); -------------------------------------------------------------------- Here, the content of this chapter is complete. Analog data File Download Github Https://github.com/sinodzh/HadoopExample/t

Using the Hadoop and Hive command line

Hadoop Unzip the GZ file to a text file $ Hadoop fs-text/hdfs_path/compressed_file.gz | Hadoop Fs-put-/tmp/uncompressed-file.txt Unzip the local file Gz file and upload it to HDFs $ gunzip-c filename.txt.gz | Hadoop Fs-put-/tmp/filename.txt Using awk to process CSV files, refer to using awk and friends with

Practical operation and problem summary of Hive/hbase/hadoop/mysql in CentOS

Hive Chinese garbled problemAs we all know, we are using the MySQL storage hive metadata, you can execute with Chinese comments in the table file, to solve the problem of Chinese garbled:To set the metabase to Latin1 and set the encoding of the data table stored in Chinese to the utf-8 format, that is, the table stored in hive is utf-8.Some of the following are n

"Todo" "reprint" full stack engineer-hadoop, HBase, Hive, Spark

Learn this article for reference:http://www.shareditor.com/blogshow/?blogId=96Machine learning, data mining and other large-size processing are inseparable from a variety of open-source distributed systems,Hadoop for distributed storage and Map-reduce computing,Spark is used for distributed machine learning,Hive is a distributed database,HBase is a distributed KV

"Source" self-learning Hadoop from zero: Hive table operations

/Replace Columns Grammar: ALTER TABLE table_name [PARTITION Partition_spec] ADD| REPLACE COLUMNS (col_name data_type [COMMENT col_comment], ...) [CASCADE| RESTRICT] Example: int); Delete a table One: Delete table Grammar: DROP (database| SCHEMA) [IF EXISTS] database_name [restrict| CASCADE]; Example: drop table score; -------------------------------------------------------------------- Here, the content of this chapter is complete.

Hadoop, HBase, Hive, zookeeper default port description

Hadoop, HBase, Hive, zookeeper default port description Component Daemon Port Configuration Description Hdfs DataNode 50010 Dfs.datanode.address Datanode service port for data transfer 50075 Dfs.datanode.http.address Port for HTTP Service 50475 Dfs.datanode.https.address Ports for HTTPS servic

Alex's Novice Hadoop Tutorial: Lesson 9th Sqoop1 Exporting MySQL from hbase or hive

records.NoteThere's a sentence in this journal14/12/05 08:49:46 INFO MapReduce. Job:the URL to track the job:http://hadoop01:8088/proxy/application_1406097234796_0037/This means you can use the browser to access the address to see the implementation of the task, if your task for a long time the card master is not finished is wrong, you can go to this address to see the detailed error logView ResultsMysql> SELECT * from employee;+--------+----+-------+| Rowkey | ID | Name |+--------+----+------

Hadoop/hive Error Solution Encyclopedia

get out of this safe mode 1. Modify dfs.safemode.threshold.pct to a relatively small value, the default is 0.999. 2. Hadoop dfsadmin-safemode leave command forced to leave Http://bbs.hadoopor.com/viewthread.php?tid=61extra=page=1 The user can manipulate safe mode by Dfsadmin-safemode value, as described in parameter value: Enter-Enter Safe mode Leave-Force Namenode to leave Safe mode Get-Returns information on whether Safe mode is open Wait-waits un

Hadoop, HBase, Hive, zookeeper default port description

[:nnnnn], blue part The follower is used to connect to the leader and only listens on the leader on the port. 3888 /etc/zookeeper/conf/zoo.cfg in server.x=[hostname]:nnnnn[:nnnnn], blue part Used for the leader election. Required only if ELECTIONALG is 3 (default). All port protocols are based on TCP.For all Hadoop daemon that exist in the Web UI (HTTP service), there are URLs like:/logsList of log fil

After modifying the hadoop accessory file, hive cannot find the original DFS file.

Modified In the hadoop/etc/hadoop/core-site.xml FileAfter the attribute value is set, the original hive data cannot be found. You need to change the location attribute in the SDS table in the hive MetaStore database and change the corresponding HDFS parameter value to a new value.After modifying the

Alex's Hadoop Rookie Tutorial: Lesson 11th Java calls to hive

Testhivedrivertable1terry2alex3jimmy4mike5katerunning:select count (1) from TesthivedrivertableIn fact, the Java call is very simple, that is, you execute the statement in the hive shell with JDBC to do it again, so you transfer the past statement of the environment is the Hive server machine, which is written in the path from the hive server host root directory

Why does data analysis generally use java instead of hadoop, flume, and hive APIs to process related services?

Why does data analysis generally use java instead of hadoop, flume, and hive APIs to process related services? Why does data analysis generally use java instead of hadoop, flume, and hive APIs to process related services? Reply content: Why does data analysis generally use java instead of

CentOS Build Mysql/hadoop/hive/hbase

(' 123456 ') where user= ' root ';//set root user password mysql> Select Host,user,password from User where user= ' root ';mysql> flush privileges;mysql> exitIf you are not able to connect remotely, turn off the firewall/etc/rc.d/init.d/iptables stopTo manually install a later version, refer to:Http://www.cnblogs.com/zhoulf/archive/2013/01/25/zhoulf.htmlHttp://www.cnblogs.com/xiongpq/p/3384681.htmlCentOS Installation HiveCd/usr/localTAR-ZXVF hive-0.1

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