1. 将mysql中的数据导入到hive中 sqoop import --connect jdbc:mysql://localhost:3306/sqoop --direct --username root --passw
1. 将mysql中的数据导入到hive中
sqoop import --connect jdbc:mysql://localhost:3306/sqoop --direct --username root --password 123456 --table tb1 --hive-table tb1 --hive-import -m 1
其中--table tb1是mysql sqoop数据库中的一张表,,--hive-table tb1是导入到hive中该表的名字,不需要事先建表。
2. 将hive中的数据导入到mysql中
sqoop export --connect jdbc:mysql://localhost:3306/sqoop --username root --password 123456 --direct --table t4 --export-dir /user/hive/warehouse/tb1/part-m-00000 --input-fields-terminated-by '\001'
--table t4是导入到mysql中表的名字,需要事先建表
3. 将mysql中的数据导入到hdfs中
sqoop import --connect jdbc:mysql://localhost:3306/sqoop --direct --username root --password 123456 --table tb1 -m 1
4. 将hdfs中的数据导入到mysql中
sqoop export --connect jdbc:mysql://localhost:3306/sqoop --direct --table tb1 --username root --password 123456 --export-dir hdfs://localhost:9000/user/Hadoop/tb1/part-m-00000 -m 1
同样需先在mysql中建立tb1表
在用sqoop将mysql中的数据导入到hdfs中,曾报以下错误:
java.sql.SQLException: Streaming result set com.mysql.jdbc.RowDataDynamic@54b0a583 is still active. No statements may be issued when any streaming result sets are open and in use on a given connection. Ensure that you have called .close() on any active streaming result sets before attempting more queries.
经查询,为mysql JDBC驱动bug所致,我用的是mysql-connector-java-5.1.10-bin.jar版本的,后改为mysql-connector-java-5.1.25-bin.jar版本的就没有问题了
相关阅读:
通过Sqoop实现Mysql / Oracle 与HDFS / Hbase互导数据
[Hadoop] Sqoop安装过程详解
用Sqoop进行MySQL和HDFS系统间的数据互导
Hadoop Oozie学习笔记 Oozie不支持Sqoop问题解决
Hadoop生态系统搭建(hadoop hive hbase zookeeper oozie Sqoop)
Hadoop学习全程记录——使用Sqoop将MySQL中数据导入到Hive中
Sqoop 的详细介绍:请点这里
Sqoop 的下载地址:请点这里
本文永久更新链接地址:

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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