hive jdbc

Tags: hiveConfigure hive to use the MySQL database------------------------ 1. Download and pressure hive.tar.gz 2. Configure Environment variables hive_home= ... path=: $HIVE _home/bin: $HIVE _home/conf $>source/etc/environment 3. Create a configuration file $>CD conf $ cp hive-default.xml.template

DML mainly operates on the data in the Hive table, but because of the characteristics of Hadoop, the performance of a single modification and deletion is very low, so it does not support the level operation;Mainly describes the most common methods of BULK INSERT data:1. Loading data from a fileSyntax: LOAD [LOCAL] ' filepath ' [OVERWRITE] into TABLE [PARTITION (Partcol1=val1, partcol2=val2 ...) ]Cases:Load ' /opt/data.txt ' into Table table1; --If t

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 Statichiveodbcclient Current {Get{return Newhiveodbcclie

-key. HBase leverages the infrastructure of Hadoop to scale horizontally with common devices.2. characteristics of bothHive helps people who are familiar with SQL to run the MapReduce task. Because it is JDBC-compatible, it can also be integrated with existing SQL tools. Running a hive query can take a long time because it iterates through all the data in the table by default. Despite this shortcoming, the

Most of the steps to use hive for data analysis are to use hive to export the statistical results to a local file or other Hive tables, import the local file to mysql or use sqoop to import the Hive table to mysql.Today, my colleague recommended a method to directly import the statistical results to mysql using udf fun

[Spark] [Hive] [Python] [SQL] A small example of Spark reading a hive table$ cat Customers.txt1Alius2Bsbca3Carlsmx$ hiveHive>> CREATE TABLE IF not EXISTS customers (> cust_id String,> Name string,> Country String>)> ROW FORMAT delimited fields TERMINATED by ' \ t ';hive> Load Data local inpath '/home/training/customers.txt ' into table customers;

defined in HBase as a cell, each key consists of Row-key, a column cluster, a column, and a timestamp. In HBase, a row is a collection of key/value mappings that are uniquely identified by Row-key. HBase leverages the infrastructure of Hadoop to scale horizontally with common devices.2. characteristics of bothHive helps people who are familiar with SQL to run the MapReduce task. Because it is JDBC-compatible, it can also be integrated with existing S

can be made via Navicate (1) Execute command service MySQL status and rpm-qa |grep-i mysql command check if MySQL (2) executes command rpm -e xxxxxxx--nodeps Remove the installed MySQL (3) Execute command service MySQL status and Rpm-qa |grep-i MySQL check whether to remove clean (4) Execute command rpm-i mysql-server-******** (--nodeps--force) installation Server (5) Execute command mysqld_safe start MySQL server (6) Execute command ser Vice MySQL status check whether MySQL server is starte

command Hive Service List: Beeline cleardanglingscratchdir CLI hbaseimport hbaseschematool help hiveburninclient hiveserver2 hplsql jar lineage llapdump llap llapstatus metastore Metatool orcfiledump rcfilecat schematool The usual is cli/hiveserver2/metastore. 1.1 CLI Provides command line access to Hive 1.2 hiveserver2 Hive Thrift Server

Conversion from http://blog.csdn.net/suine/article/details/5653137 1. Hive Introduction Hive is an open-source hadoop-based data warehouse tool used to store and process massive structured data. It stores massive data in the hadoop file system instead of the database, but provides a data storage and processing mechanism for database-like databases, and uses hql (SQL-like) the language automatically manages

First, control the number of maps in the hive task:1. Typically, the job produces one or more map tasks through the directory of input.The main determinants are: The total number of input files, the file size of input, the size of the file block set by the cluster (currently 128M, can be set dfs.block.size in hive; command to see, this parameter can not be customized modification);2. For example:A) Assuming

By default, NULL is saved as \ n in the hive table, and you can view the table's source file (Hadoop fs-cat or Hadoop fs-text), where a large amount of \ n is stored in the file, resulting in a lot of wasted space. And in Java, Python directly into the path to manipulate the source data, the resolution should also be noted. In addition, in the source file of the hive table, the default column delimiter i

1. Typically, the job produces one or more map tasks through the directory of input.The main determinants are: The total number of input files, the file size of input, the size of the file block set by the cluster (currently 128M, can be set dfs.block.size in hive; command to see, this parameter can not be customized modification);2. For example:A) Assuming that the input directory has 1 file A and a size of 780M, then Hadoop separates the file a into

Deploy RDB using the SparkSQL distributed SQL engine in Linux | install MySQL + Hive (Tutorial) and sparksqlrdb●Deploy MySQL # Find and delete local MySQLrpm-qa | grep mysqlrpm-e mysql-libs-5.1.66-2.el6_3.i686 -- nodeps # Install the specified version of MySQLrpm-ivh MySQL-server-5.1.73-1.glibc23.i386.rpm rpm-ivh MySQL-client-5.1.73-1.glibc23.i386.rpm # change the password of mysql (run the following command directly) /usr/bin/mysql_secure_installatio

Installing Mysql-serverApt-get Install Mysql-serverDownload hivesudo wget http://mirrors.hust.edu.cn/apache/hive/hive-2.3.0/apache-hive-2.3.0-bin.tar.gzExtract Hivesudo tar zxvf apache-hive-2.3.0-bin.tar.gzsudo mv Apache-hive-2.3.0-bin.tar.gz/opt/hiveEnvironment variablessud

Hive using the System CentOS 6.5 cluster environment Components version Hadoop 2.6.0 Zookeeper 3.4.6 Hive 1.1.0 Hive Configuration The decompression is not explained here. Go to Hive root directory cd/home/hadoop/development/src/

Label:Transfer from Http://www.tuicool.com/articles/qyUzQjIn the recent study of Impala, let's review the SQL execution process for hive. There are three types of user interfaces in hive: CLI (Command line interface) Bin/hive or Bin/hive–service CLI Command line mode (default)

metastore: javax.jdo.option.ConnectionURL jdbc:mysql://Hadoop:3306/hive_db?createDatabaseIfNotExist=true JDBC connect string for aJDBC metastore javax.jdo.option.ConnectionDriverName com.mysql.jdbc.Driver Driver class name for aJDBC metastore javax.jdo.option.ConnectionUserName hadoop username to use againstmetastore database javax.j