hive odbc

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MAPR Working with Hive (i) ODBC Connector for--hive

This page contains more information about setting up and using the ODBC Connector hive. This page contains the following topics: Before you start the SQL Connector software and hardware requirements to install and configure authentication in DSN configuration SSL configuration DSN run SQLPrepare optimization Note data type HIVEQL notes in Application Note Microsoft Access Microsoft E Xcel/Query screen befor

Hive (ii): Windows Hive ODBC Installation

Label:For Windows 32-bit and 64-bit systems that have multiple versions of Hive ODBC Connector, the version must be fully matched during installation (that is: 32-bit Connector can only be run on 32-bit systems, and 64-bit Connector can only be 64-bit system operation) Reference: http://doc.mapr.com/display/MapR/Hive+ODBC

Hive (iv): C # accesses hive through ODBC

Label:After the configuration of the Hive ODBC driver is successful, it becomes easier to access it through C #, which is divided into query and update operations, directly attached to the test code. The target platform for C # Engineering compilation needs to be noted in this process Read-Write access code example: Public classhiveodbcclient {/// /// /// Public Statichiveo

Hive Missing Hive Execution Jar:/root/hive/hive/lib/hive-exec-*.jar

[Root@master ~]# Hive Missing Hive execution Jar:/root/hive/hive/lib/hive-exec-*.jar Display missing hive execution Jar when running hive:/usr/h

Hive architecture, installation of hive and installation of MySQL, and some simple use of hive

Label:Hive Architecture:is the Data warehouse infrastructure built on top of Hadoop. Similar to the database, except that the database focuses on some transactional operations, such as modify, delete, query, in the database this piece occurs more. The Data Warehouse is primarily focused on querying. For the same amount of data in the database query is relatively slow, in the Data Warehouse query efficiency is relatively fast. The Data warehouse is query-oriented, and the amount of data processed

Hive in Layman's

protected]* Developer: [email protected]1. Why Hive is usedthe problems facingStaff learning costs too high project cycle requirements are too short I just need a simple environment MapReduce how to handle complex queries how to implement the Hive interface using the class SQL syntax to provide rapid development capabilities • Avoid writing MapReduce and reducing developer The learning cost and expansion f

SQL Standard Based hive Authorization (SQL standards-based hive authorization)

hive tables through the hive CLI, pig, and MapReduce, the appropriate permissions can be controlled by enabling storage Based Authorization in Hive Metastore server Other scenarios may need to be done in conjunction with the security mechanisms of Hadoop. Most users (using SQL statements and ODBC/JDBC access HiveServ

Hive Getting Started note-----Architecture and application Introduction

:① user interface: Includes shell commands, JDBC/ODBC, and WebUI, the most common of which is the shell client-side approach to hive operation②hive parser (Driver driver): The core function of Hive parser is to match the corresponding MapReduce template according to the SQL syntax written by the user, and to form the c

Missing hive execution Jar appears when compiling hive source code:/usr/local/hive/lib/hive-exec-*.jar

Cause: The above problem is usually caused by a script running hive under the bin/directory. Explanation: assume that the hive source check out to the local hive-trunk directory, and compile the source without specifying the "Target.dir" attribute, if the hive_home variable points to the Hive-trunk directory, $hive_ A

53rd Lesson: Hive First Lesson: The value of hive, Introduction to the architecture design of Hive

First, the historical value of hive1, Big Data is known for Hadoop, and Hadoop is useful because of hive. Hive is the killer on Hadoop application,hive is the Data Warehouse on Hadoop, while Hive has both the storage and query engines in the Data warehouse. And Spark SQL is a much better and more advanced query engine

Understanding Hive Application __hadoop+hbase+hive technology from the solution of a hive interview problem

Hive face Test-hive Application Thinking Question: There is a very large table: Trlog The table is about 2T. Trlog: CREATE TABLE trlog (PLATFORM string, user_id int, click_time string, Click_url string) row format delimited fields terminated by ' \ t '; Data: PLATFORM user_id click_time click_url WEB 12332321 2013-03-21 13:48:3 1.324/home/web 12332321 2013-03-21 13:48:32.954/selectcat/er/web 1233232

Hive user Interface (ii)-Connect a hive operation instance using hive JDBC Driver

Questions Guide: 1. What three types of user access does hive provide? 2, when using Hiveserver, you need to start which service first. 3, Hiveserver's Start command is. 4. Hiveserver is the service through which to provide remote JDBC access. 5, how to modify the default boot port of Hiveserver. 6. Which packages are required for the Hive JDBC driver connection. 7, HiveServer2 and Hiveserver in the use of

kylin2.3 version enables JDBC data sources (you can generate hive tables directly from SQL, eliminating the hassle of manually conducting data to hive and building hive tables)

kylin2.3 version enables JDBC data sources (you can generate hive tables directly from SQL, eliminating the hassle of manually conducting data to hive and building hive tables)DescriptionThe JDBC data source, which is essentially a hive data source.Performance is still not good because of the database Big Table Associa

Hive Summary (ix) Hive architecture

1. Hive architecture and basic composition the following is the schema diagram for hive. Figure 1.1 Hive Architecture The architecture of hive can be divided into the following parts: (1) There are three main user interfaces: Cli,client and WUI. One of the most common is when CLI,CLI starts, it initiates a

HIVE[2] Basic Introduction

2.3 Hive Internal Introduction: P44The jar file under the $HIVE _home/lib is a specific functional part; (CLI module) Other components, Thrift services, remote access to other process features, and the ability to access hive using JDBC and ODBC; all hive clients need a Metas

SQLServer2000 installation failed, [ODBC Driver Manager] No data source found, details see log file sql2000 [MICROSOFT][ODBC Driver Manager] No data source found, see sqlstp.org, exit directly

Label:SQL2000 installation failed, [ODBC Driver Manager] No data source found, see log file for more information(2010-09-13 17:38:18) reproduced Recently installed the database SQL server2000 when installed to the end of the time, to jump out of the "SQL2000 installation failed, [ODBC driver Manager] did not find the data source, more information please view the log file" prompt, a little sure to close, fi

Hive user Interface (i)-hive Web interface hwi operation and use

Questions Guide: 1. What three user access interfaces are provided by hive. 2, how to manually build the Hive-hwi-*.war installation package. 3, HWI service Start command is what. 4. Which two packages need to be copied to the Lib of the Hive installation directory before hwi start. 5. Before using the HWI Web to access the H

Hive data Import-data is stored in a Hadoop Distributed file system, and importing data into a hive table simply moves the data to the directory where the table is located!

transferred from: http://blog.csdn.net/lifuxiangcaohui/article/details/40588929Hive is based on the Hadoop distributed File system, and its data is stored in a Hadoop Distributed file system. Hive itself does not have a specific data storage format and does not index the data, only the column separators and row separators in the hive data are told when the table is created, and

Hive Official User's manual-New hive CLI (Beeline CLI)

This text is translated by oneself, original address: https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients Hive Official User's manual-New hive CLI (Beeline CLI) This page describes the different clients supported by HiveServer2. Other HiveServer2 documents include: HiveServer2 Overview Setting up HiveServer2

Install in two Hive Modes

Install the data warehouse tool in two Hive modes to convert the raw structured data under Hadoop into tables in Hive. HiveQL, a language almost identical to SQL, supports updates, indexes, and transactions. It can be seen as a er from SQL to Map-Reduce. Provides interfaces such as shell, JDBCODBC, thrift, and Web. I. Embedded Mode Install the data warehouse tool in two

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