在linux的终端执行:$HIVE_HOME/bin/hive 会进入交互模式; $HIVE_HOME/bin/hive -e或者-f 总是非交互模式 1、非交互模式执行HQL语句 $HIVE_HOME/bin/hive -e select * from movie limit 10 会现实mapreduce的进度,但不会进入hive的交互模式,最终现实查询
在linux的终端执行:$HIVE_HOME/bin/hive 会进入交互模式;
$HIVE_HOME/bin/hive -e或者-f 总是非交互模式
1、非交互模式执行HQL语句
$HIVE_HOME/bin/hive -e 'select * from movie limit 10'会现实mapreduce的进度,但不会进入hive的交互模式,最终现实查询结果
2、非交互模式执行HQL语句(-S静音模式)
$HIVE_HOME/bin/hive -S -e 'select * from movie limit 10'加入-S选项,不会显示mapreduce进度
[hadoop@gaoyuan hive-0.14]$ bin/hive -S -e 'select * from movie limit 10' SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/home/hadoop/hadoop-2.4.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/home/hadoop/hive-0.14/lib/hive-jdbc-0.14.0-SNAPSHOT-standalone.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] Error rolling back: Can't call rollback when autocommit=true 1 1 133 8 2 1 720 6 3 1 971 10 4 1 1095 7 5 1 1616 10 6 1 1978 7 7 1 2145 8 8 1 2211 8 9 1 3751 7 10 1 4062 33、把hive查询导出到一个文件中
$HIVE_HOME/bin/hive -S -e 'select * from movie limit 10' > /gaoyuan/ouput.txt这个会把hive查询语句的执行结果导入output.txt文件中
4、不进入hive交互模式,执行hive脚本
$HIVE_HOME/bin/hive -f hiveScript.sql
也可以把输出结果存入一个文件中
$HIVE_HOME/bin/hive -f hiveScript.sql >> /home/username/output.txt

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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