hive wikipedia

One of the built-in optimization mechanisms provided by Hive includes MapJoin. Before Hivev0.7, you need to provide MapJoin instructions so that Hive can optimize MapJoin. After Hivev0.7 One of the built-in optimization mechanisms provided by Hive includes MapJoin. Before Hive v0.7, you need to provide MapJoin instruct

Bind hive to a local mysql database I suddenly wrote an article about changing the hive metadatabase from the default local derby to bind to a remote mysql database. I flipped through the cloud notes and found that it was actually true, share it with you now ~~ Environment: Operating System: Centos6.5mysql: 5.6 hive: 0.13.1hadoop: 1.2.1 1. Configure mysql 1. I

The kettledesktop version of Pentaho was just started. Here we mainly use its association with hadoop and hive for data processing. Kettle's version is 4.4, and The use process is quite smooth. A conversion task has been successfully established to extract data from hive to a local file. However, once you open it, all utf8 Chinese characters are The kettle desktop version of Pentaho was just started. Here w

In-depth hive Enterprise Architecture optimization, hive SQL optimization, compression, and distributed caching (Enterprise Hadoop application core products)Course Lecturer: CloudyCourse Category: HadoopSuitable for people: BeginnerNumber of lessons: 10 hoursUsing the technology: HiveProjects involved: Hive Enterprise-Level optimizationConsulting qq:1840215592Fir

In-depth hive Enterprise Architecture optimization, hive SQL optimization, compression, and distributed caching (Enterprise Hadoop application core products)Course Lecturer: CloudyCourse Category: HadoopSuitable for people: BeginnerNumber of lessons: 10 hoursUsing the technology: HiveProjects involved: Hive Enterprise-Level optimizationConsulting qq:1840215592650

Hive metadata parsing this article is a Hive metadata table prepared by the author. If there is any inaccuracy, please pat it. I will add it later. 1. hive0.11 meta data Table Summary online Hive0.11metastore includes the following 39 tables, mainly divided into the following categories: Database-related Table-related data storage-related SDSCOLUMN-related SERDE-related (serialization) P

Improvements to the Hive Optimizer, improvementshive LanguageManual JoinOptimization Improvementsto the Hive Optimizer Hive can be automatically optimized, and some optimization cases are improved in Hive 0.11. 1. The JOIN side is suitable for storing in memory and there are new optimization solutions A) read the table

This document describes how to manually install the cloudera hive cdh4.2.0 cluster. For environment setup and hadoop and hbase installation processes, see the previous article.Install hive Hive is installed on mongotop1. Note that hive saves metadata using the Derby database by default. Replace it with PostgreSQL here.

Image address: http://hi.csdn.net/attachment/201107/29/0_1311922740tXqK.gif Clidriver is the entry of hive, corresponding to the UI section. You can see its structure. The main () function! Yes! You guessed it was from main.Is a class structure, with a total of five key functions. This class can be said to be a platform for user interaction with hive. You can think of it as a

Native standalone mode, mysql as meta database1 Installation Environment Preparation1.1 Installing the JDK is installed when Hadoop is installed, refer to http://www.cnblogs.com/liuchangchun/p/4097286.html1.2 Installing Hadoop, refer to Http://www.cnblogs.com/liuchangchun/p/4097286.html1.3 Installing the MySQL database, refer to http://www.cnblogs.com/liuchangchun/p/4099003.html1.4 New Hive Database, user, granting permissionsMysql-U root-PInsert int

The following is an instance of importing data from MySQL into hive. –hive-import indicates that the import to hive,–create-hive-table represents the creation of hive tables. –hive-table Specifies the name of the

Http://www.cnblogs.com/Richardzhu/p/3364909.htmlFirst, Hive IntroductionHive is a Hadoop-based data warehousing tool that maps structured data files into a single database table and provides full SQL query functionality that can be translated into a mapreduce task to run. The advantage is that the learning cost is low, the simple mapreduce statistics can be quickly realized through the class SQL statements, and it is very suitable for the statistical

12 tips for easy survival in Apache Hive Learn to live with Apache Hive in 12 easy steps Hive allows you to use SQL on Hadoop, but optimizing SQL on a distributed system is different. Here are 12 tips that allow you to easily master Hive. Hive is not a relational database s

In this chapter we will explain why we need to use Hive view in the process of creating a cube in Kylin, and what is the benefit of using the hive view, what problems to solve, and the need to learn how to use the view, what restrictions are used in the view, and so on.1. Why you need to use a viewKylin uses hive's table data as the input source during cube creation. However, in some cases, table definition

The partition table created in hive has no complex partition type (range partition, list partition, hash partition, mixed partition, etc.). A partitioned column is also not an actual field in a table, but one or more pseudo-columns. This means that the information and data of the partition column are not actually saved in the data file of the table. The following statement creates a simple partition table: CREATE TABLE Partition_test (member_id stri

Abstract: Because Hive uses the SQL query Language HQL, it is easy to interpret hive as a database. In factStructurally, there is no similarity between Hive and the database, in addition to having a similar query language. This article willThe differences between Hive and database are explained in several ways. The dat

An error is reported when Sqoop is used to migrate data between Hive and MySQL databases. An error is reported when Sqoop is used to migrate data between Hive and MySQL databases. Run./sqoop create-hive-table -- connect jdbc: mysql: // 192.168.1.10: 3306/ekp_11 -- table job_log -- username root -- password 123456 -- hive