Algorithm: There are a lot of books in the library that I have not read, and I would like to use some method to deduce the hypothetical sort results---suppose I read all the books.
One, hive command line 1, hive support some of the commands
Command Description
quit Use quit or exit to leave the interactive shell.
Set Key=value Use the To set value of particular configuration variable. One thing to note here's if you misspell the variable name, the CLI won't show an error.
Set This would print a list of configuration variables that is overridden by user or
1. Hive IntroductionHive 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 and processes the data. We can regard the volume of structured data in hive
Java
class "Java Programming Idea (4th edition)" "Head of the Java" "Effective Java Chinese" "In-depth understanding of Java Virtual machines: JVM advanced features and best practices" Java concurrent programming in combat " Java Core Technology (Volume 2) "Java Multithreaded Programming core technology" "large Web site technology framework Core Principles and Case analysis" in-depth analysis of the inside of Java Web technology data structure and algorithm analysis: Java language Description (
1 we open the micro-letter reading to click on "Books", and then we find the book "Share" icon. (pictured below)
2 then enter to the interface we click "Presented to Friends", and then click on "Give to micro-trust friends" effect as shown below. (pictured below)
3 select "Friend", then click "Share". (pictured below)
The above is about the micro-letter reading gift book operation process, the demonstration process is relatively
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
Overview
As long as the correct file types and compression types (such as Textfile+gzip, sequencefile+snappy, etc.) are configured, hive can read and parse data as expected and provide SQL functionality.
The structure of the sequencefile itself has been designed to compress content. So for the Sequencefile file compression, not the Sequencefile file, and then the file compression. Instead, the Content field is compressed when the Sequencefile file is
Hive is a framework that occupies and plays an important role in the ecosystem architecture of Hadoop, and it is used in many practical businesses, so that the popularity of Hadoop is largely due to the presence of hive. So what exactly is hive and why it occupies such an important position in the Hadoop family, this article will focus on Hive's architecture (arc
Compared with many tutorials, Hive has introduced concepts first. I like to install them first, and then use examples to introduce concepts. Install Hive first. Check whether the corresponding yum source has been installed. If the yum source blog. csdn. netnsrainbowarticledetails42429339hive is not installed according to the yum source file written in this tutorial
Compared with many tutorials,
I. Installation of Hive
The components are arranged as follows:
172.16.57.75 bd-ops-test-75 mysql-server
172.16.57.77 bd-ops-test-77 Hiveserver2
1. Install Hive
Install the Hive on 77:
# Yum Install hive Hive-metastore
Hive Installation (hadoop2.6.0 hive 1.2.1)Website address: http://hive.apache.org/downloads.html
three different modesInline mode: Metadata is kept in the inline derby mode, allowing only one session to connect to local standalone mode: Install MySQL locally, bar metadata in MySQL remote mode: Meta data placed in remote MySQL database
1. Embedded mode:
(1), modify/home/lin/hadoop/apache-
Hive Installation Deployment(Installation will have version issue hadoop1.0 version above please install hive-0.90 testhadoop2.0 above Please install hive-0.12.0 or the latest version of the test)Hive-0.9.0:http://pan.baidu.com/s/1rj6f8hive-0.12.0:http://mirrors.hust.edu.cn/apache/
apache-hive-2.1.0 Installation
Installing Hive
Install the Namenode on Hadoop and copy the installation files to Linux/usr/hadoop/apache-hive-2.1.0-bin.tar.gz
Extract:
TAR–ZXVF apache-hive-2.1.0-bin.tar.gz
Add to environment variable
Vi/etc/profile
Edit
#hive
Export Hive_h
[A "," B "," C "]
3
[D "," E "," F "]
4
[D "," E "," F "]
Add a lateral view:
Select mycol1, mycol2 from basetable lateral view explode (col1) mytable1 as mycol1 lateral view explode (col2) mytable2 as mycol2;
The execution result is:
Int mycol1
String mycol2
1
""
1
"B"
1
"C"
2
""
2
"B"
2
"C"
3
"D"
Union syntax
Select_statement Union all select_statement...
Union is used to combine the result sets of multiple select statements into an independent result set. Currently, only union all (BAG Union) is supported ). Duplicate rows are not eliminated. The number and name of columns returned by each select statement must be the same. Otherwise, a syntax error is thrown.
If some extra processing is required for the Union result, the entire statement can be embedded in the from clause, as
Label: Start Thriftserver in spark after modification and then connect in beeline mode under Spark's Bin or write a. sh file every time you execute it directly . sh file contents such as:./beeline-u jdbc:hive2://yangsy132:10000/default-n root-p YangsiyiSpark on Hive configures Hive's metastore to MySQL
Tags: store rewritten cat POS Log monitor Web page infhttp://blog.csdn.net/wtq1993/article/details/52435563 http://blog.csdn.net/yeruby/article/details/51448188Hive on Spark vs. Sparksql vs Hive on TezThe previous article has been completed Sparksql,sparksql also has Thriftserver service, here say why also choose to engage in Hive-on-spark:
Sparksql-thriftserver all the results of all memory, fast
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