hive big data

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

1. Create a databaseHive>create database myhive;Hive>create database if not exists myhive;Hive>show databases;hive>show databases like ' *t* ';Description: Hive generated the corresponding directory (*.DB) for the database created, under the {Hive.metastore.warehouse.dir} property, and the tables in the database are st

HDFs to MySQLCsv/txt files to HDFsMySQL to HDFsMapping of Hive to HDFs:drop table if exists emp;CREATE TABLE emp (IDintComment'ID', Emp_namestringComment'name', Jobstring) Comment'Career'row format delimited--stored asrcfile Location'/user/hive/warehouse/emp';Stored as keyword, hive currently supports three different ways:1: Is the most common textfile, the

Hive Data ManipulationHive Command-line OperationsHive-d--define hive-d database Hive-e "HQL" does not need to enter the CLI to execute the HQL statement, which can be used in the scriptHive-f FileName executes the hql in a file, the SQL statement comes from the fileHive-h hostname access host via host addressHive-h--h

What can big data do? Currently, big data analysis technology has been applied in many fields, such as event prediction, flu prediction, business analysis, and user behavior analysis ...... These functions and applications that people once could not implement are becoming a reality with the help of

Basic concepts of big data: 1. Generation of big data A. Scientific Research B. Iot applications C. Generation of massive network information 2. Proposal of the big data Concept 3. 4 V features of

Big data in the next few years development of the key direction, big Data strategy has been in the 18 session v Plenary as a key strategic direction, China in the big data is just beginning, but in the United States has produced h

Transferred from: http://lxw1234.com/archives/2015/09/484.htmKeywords: Hive replication tableThere are times when the need to replicate tables is encountered in hive, which refers to duplicating table structures and data.If it is for a non-partitioned table, it is easy to use the CREATE TABLE new_table as SELECT * from old_table;So what if it's a partitioned table?The first way to think of it might be:First

The Schemardd from spark1.2 to Spark1.3,spark SQL has changed considerably from Dataframe,dataframe to Schemardd, while providing more useful and convenient APIs.When Dataframe writes data to hive, the default is hive default database, Insertinto does not specify the parameters of the database, this article uses the following method to write

Big Data learning, big data development trends and spark introductionBig data is a phenomenon that develops with the development of computer technology, communication technology and Internet.In the past, we did not realize the connection between people, the

Hadoop series hive (data warehouse) installation and configuration1. Install in namenodeCD/root/softTar zxvf apache-hive-0.13.1-bin.tar.gzMv apache-hive-0.13.1-bin/usr/local/hadoop/hive2. Configure environment variables (each node needs to be added)Open/etc/profile# Add the following content:Export hive_home =/usr/loca

How to import MongoDB data into hive. Principle: By default, any table created in Hive is hdfs-based; That's, the metadata and underlying rows of data associated with the table are stored in HDFS. Mongo-hadoop now supports the creation of mongodb-based Hive tables and bson-b

Big data is booming now, and salaries are higher than the usual software industry, so many young people want to enter the industry. But not every big data-related job is well-paid, and it's mainly about choosing to develop according to your own expertise. Big

In the previous article "using Sqoop for data exchange between MySQL and DHFS systems", we mentioned that sqoop allows data exchange between RDBMS and HDFS and supports importing data from mysql. In the previous article "using Sqoop for data exchange between MySQL and DHFS systems", we mentioned that sqoop allows

= $HIVE _home/bin: $PATH 3. Create Hive folder in HDFs $ $HADOOP _home/bin/hadoop fs-mkdir/tmp$ $HADOOP _home/bin/hadoop Fs-mkdir/user/hive/warehouse$ $HADOOP _home/bin/hadoop fs-chmod g+w/tmp$ $HADOOP _home/bin/hadoop fs-chmod G+w/user/hive/warehouse 4. Start Hive $ Expor

Hive provides a SQL-like query language for large-scale data analysis, which is a common tool in the Data Warehouse. 1. Sorting and aggregation Sorting is done using the regular order by, and hive is ordered in parallel when processing the order by request, resulting in a global ordering result. If global ordering is n

Partitioning the data will greatly improve the efficiency of data query, especially the use of big data in the present, is an indispensable knowledge. So how does the data create partitions? How does the data load into the partiti

Key technologies for Big dataIn big Data Environment, the data source is very rich and the data type is diverse, the data volume of storage and analysis mining is large, the requirement of dat