hive wikipedia

Introduction Hive user-defined aggregate functions (UDAF) are a good function that integrates advanced data processing. Hive has two types of UDAF: simple and general. As the name implies, simple UDAF writes are quite simple, but it causes performance loss due to the use of Java reflection, and some features cannot be used, such as the variable length parameter list. General UDAF can use all functions, bu

Recently, hadoop and hive have been successfully configured on five Linux servers. A hadoop cluster requires a machine as the master node, and the rest of the machines are Server Load balancer nodes (Master nodes can also be configured as Server Load balancer nodes ). You only need to configure and use hive on the master node. 1Configure hadoop Hadoop configuration is relatively simple, because hadoop does

(1) Hive Start-Up Prerequisites: Java environment Hadoop Startup MySQL Boot (2) Missing Hive execution Jar:/usr/usr/hive-1.2.2/lib/hive-exec-*.jar Direct use: Missing Hive execution Jar ...Check Baidu, Google, is not found this answer. I looked for a long time, through thi

Sqoop import-d oraoop.disabled=true --connect"jdbc:oracle:thin:@ (description= (address= (protocol=tcp) (Host=hostname) (Port=port) (connect_data=) (Service_ Name=service_name )))" --USERNAME username--table table_name--NULL-string '\\n'--NULL-non-string '\\n' --hive-import--hive-table Hivedb. Hivetalbename--num-mappers1--verbose--password PWD--hive-drop-import-d

Hive was created to simplify mapreduce programming. Anyone who has used mapreduce for data analysis knows that many analysis programs have the same procedure except for different business logic. In this case, you need to use APIs such as hive. Hive itself does not store and compute data. It relies entirely on HDFS and mapreduce. The pure table logic in

[TOC] 1 scenesIn the actual process, this scenario is encountered: The log data hits into HDFs, and the Ops people load the HDFS data into hive and then use Spark to parse the log, and Spark is deployed in the way spark on yarn. From the scene, the data in hive needs to be loaded through Hivecontext in our spark program.If you want to do your own testing, the configuration of the environ

Hive is a hadoop-based data warehouse platform. With hive, we can easily perform ETL work. Hive defines a query language similar to SQL: hql, which can convert user-written QL into corresponding mapreduceProgramHadoop-based execution. This article explains how to build a hive platform. Suppose we have three machines:

Hive command:$ Hive-e "select * from mytable limit 1;" OKname1 1name2 2 Time taken: 3.935 seconds $ hive-e "select * from mytable limit 1; ">/tmp/myfile $ cat/tmp/myfileOKname1 1name2 2 Time taken: 3.935 secondsSilent mode:$ Hive-S-e "select * from mytable limit 1;">/tmp/myfile $ cat/tmp/m

Brief mention: Hive is a storage structure tool that can query the files in Hadoop in a SQL-like way, or let developers familiar with Mapper/reduce do custom actions, which, for one, is simply a parsing engine, Parsing the HIVEQL statement into a job task allows Hadoop to perform operations; HDFs directory/file, separate folders by table name. If it is a partitioned table, the partition value is a subfolder that can be used directly in the M/R job Sp

Hive startup error: Foundclassjline. Terminal, butinterfacewasexpected Hive startup error: Found class jline. Terminal, but interface was expected Homepage → Database Technology Background:Read News Hive startup error: Found class jline. Terminal, but interface was expected [Date: 2015-10-05] Source: Linux community Author: Bai Qiao [Font:]

Start using Hadoop and hive to analyze mobile phone usage in hdinsightin order to get you started quickly using Hdinsight, this tutorial will show you how to run a query hive extracted from a Hadoop cluster, from unstructured data to meaningful information. Then, you will analyze the results in Microsoft Excel. Attention:If you are new to Hadoop and big data, you can read more about the terms of Apache Had

The previous article Sqoop1.4.4 import incremental data from Oracle10g to Hive0.13.1 and update the master table in Hive describes the principle of incremental update of Hive tables and Sq The previous article Sqoop1.4.4 import incremental data from Oracle10g to Hive0.13.1 and update the master table in Hive describes the principle of incremental update of

Hive QL:Create TableCreates a table with the specified name. Throws an exception if a table of the same name already exists, and the user can ignore the exception with the If not EXIST option.The EXTERNAL keyword allows the user to create an external table that specifies a path to the actual data while the Hive creates the internal table, which moves the data to the path that the data warehouse points to, a

First, the parameter setting of hive 1. Three ways to set up: Configuration file · User-defined profile: $HIVE _conf_dir/hive-site.xml · Default profile: $HIVE _conf_dir/hive-default.xml The user-defined configuration overrides the default configuration. In additio

Continue to write, in fact, MySQL import and export HDFs for the actual project development is not much use, but that can be used to get started. Write today's collaboration with HBase and hive. I suddenly found my tutorial written in a messy order, did not first introduce the installation of hive, this is to apologize to everyone, I made up the back.Data preparation MySQL Build table employee in MySQL and

#创建新表 Hive> CREATE TABLE t_hive (a int, b int, c int) ROW FORMAT delimited fields TERMINATED by ' \ t '; #导入数据t_hive. txt to t_hive table hive> LOAD DATA LOCAL inpath '/home/cos/demo/t_hive.txt ' OVERWRITE into TABLE t_hive; #正则匹配表名 Hive>show tables ' *t* '; #增加一个字段 hive> ALTER TABLE t_hive ADD COLUMNS (New_col String)

Tags: hive non-interactive mode Run $ hive_home/bin/hive on a Linux terminal to enter the interaction mode; $ Hive_home/bin/hive-E or-F is always in non-interactive mode. 1. Execute hql statements in non-interactive mode $HIVE_HOME/bin/hive -e 'select * from movie limit 10'Mapreduce progress will be realized

HIVEQL DDL statements are documented here, Including:create Database/schema, TABLE, VIEW, FUNCTION, INDEX DROP D Atabase/schema, table, view, INDEX TRUNCATE table ALTER Database/schema, table, view msck REPAIR table (or ALT ER TABLE RECOVER partitions) show Databases/schemas, TABLES, tblproperties, partitions, Functions, index[es], COLUMNS, CREATE table DESCRIBE Database/schema, TABLE_NAME, view_name PARTITION statements are usually options of table state ments, except for show partitions. 1.

ArticleDirectory Drop table ALTER TABLE Loading files into table Join Hive official documentation on the query language has a very detailed description, please refer to: http://wiki.apaCHE.org/hadoop/hive/?agemanual. Most of the content in this article is translated from this page. Some things to be noted during use are added. C Reate table CReate [External] Table [if not exists]

Create/drop/alter View Create View Drop View Alter View Properties Alter View as Select Version InformationIconView support was only available in Hive 0.6 and later.Create View CREATE VIEW [IF NOT EXISTS] view_name [(column_name [COMMENT column_comment], ...) ][COMMENT view_comment][TBLPROPERTIES (property_name = property_value, ...)]AS SELECT ...; CREATE view creates a view with the given name. An