java处理较大数据量到mysql
1、 jdbd采用批处理插入大量数据,速度还是相当的慢,一个拥有一个自增字段、三个字符串字段的表,往里面插入1W条数据消耗一分多钟。代码如下: public class DBbatchdeal {/** * * @param conn jdbc链接 * @param tableName 表明 * @param lists 数据集 * @
1、 jdbd采用批处理插入大量数据,速度还是相当的慢,一个拥有一个自增字段、三个字符串字段的表,往里面插入1W条数据消耗一分多钟。代码如下:
<span>public class DBbatchdeal { /** * * @param conn jdbc链接 * @param tableName 表明 * @param lists 数据集 * @param n 每行字段个数 出去自增字段 * @param flag 第一列是否自增字段 * @return 是否成功 */ public boolean deal(Connection conn,String tableName,ArrayList<string> lists ,int n,boolean flag){ StringBuffer sql = new StringBuffer(); sql.append("insert into ").append(tableName) .append(" values("); sql=(flag==true?sql.append("null ,"):sql); for(int i=0;i<n-1 sql.append int size="lists.size();" m="(true==flag?n-1:n);" preparedstatement prestmt="null;" long a="System.currentTimeMillis();" try for j="0;j<size;j++){" string str="lists.get(j);" k="0;k<n;k++){" prestmt.setstring prestmt.addbatch if prestmt.executebatch prestmt.clearbatch catch e e.printstacktrace prestmt.close b="System.currentTimeMillis();" system.out.println return true public static void main args throws classnotfoundexception sqlexception class.forname connection conn='DriverManager.getConnection("jdbc:mysql://ip***/db",' dbbatchdeal deal="new" arraylist> lists =new ArrayList<string>(); for(int i=0;i</string></n-1></string></span>
2、因为上面的方法处理的较慢,又想了个较为麻烦点儿的方式,用mysql的load data来导入数据。具体就是写段导入数据的脚本用java来执行,测试了下1w条记录插入的时间还是相当短的。
结果如下:
Java2Sh内容如下:
<span>import java.io.BufferedWriter; import java.io.File; import java.io.FileNotFoundException; import java.io.FileOutputStream; import java.io.IOException; import java.io.OutputStream; import java.io.OutputStreamWriter; import java.io.Writer; public class Java2Sh { /** * 对文件进行赋权 * @param infile 文件全路径 * @return runtime执行返回码 */ public int chmodrun(String infile) { int retCode = 0; try { Runtime rtime = Runtime.getRuntime(); Process child = rtime.exec("chmod 777 " +infile); retCode=child.waitFor(); System.out.println("chmod :"+retCode); } catch (Exception e) { System.out.println("chmod failed "+infile); e.printStackTrace(); } return retCode; } /** *执行脚本文件 * @param infile 文件全路径 * @return runtime执行返回码 */ public int shellFile(String infile) { int retCode = 0; try { Runtime rtime = Runtime.getRuntime(); Process child = rtime.exec("sh " +infile); retCode=child.waitFor(); System.out.println("shell file :"+retCode); } catch (Exception e) { System.out.println("shell file failed "+infile); e.printStackTrace(); } return retCode; } public void writeData() throws IOException{//生成mysql2.txt String str="13311122,passwds,20130710235959"; BufferedWriter out =new BufferedWriter(new OutputStreamWriter(new FileOutputStream(new File("D:\\mysql2.txt")))); for(int i=0;i</span>
其中shh.sh内容为:
mysql -h localhost -u root -ppwd /dblog
loaddata.sql内容为:
use dbname;
LOAD DATA INFILE '/mysql2.txt' INTO TABLE testTable FIELDS TERMINATED BY ',' (cardnum,cardpwd,times);
commit;
介于个人水平,贴出来仅供参考,欢迎告诉我更简便高效的方式,先谢过了。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











MySQL and phpMyAdmin can be effectively managed through the following steps: 1. Create and delete database: Just click in phpMyAdmin to complete. 2. Manage tables: You can create tables, modify structures, and add indexes. 3. Data operation: Supports inserting, updating, deleting data and executing SQL queries. 4. Import and export data: Supports SQL, CSV, XML and other formats. 5. Optimization and monitoring: Use the OPTIMIZETABLE command to optimize tables and use query analyzers and monitoring tools to solve performance problems.

AI can help optimize the use of Composer. Specific methods include: 1. Dependency management optimization: AI analyzes dependencies, recommends the best version combination, and reduces conflicts. 2. Automated code generation: AI generates composer.json files that conform to best practices. 3. Improve code quality: AI detects potential problems, provides optimization suggestions, and improves code quality. These methods are implemented through machine learning and natural language processing technologies to help developers improve efficiency and code quality.

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

Methods for configuring character sets and collations in MySQL include: 1. Setting the character sets and collations at the server level: SETNAMES'utf8'; SETCHARACTERSETutf8; SETCOLLATION_CONNECTION='utf8_general_ci'; 2. Create a database that uses specific character sets and collations: CREATEDATABASEexample_dbCHARACTERSETutf8COLLATEutf8_general_ci; 3. Specify character sets and collations when creating a table: CREATETABLEexample_table(idINT

The difference between MySQL and Oracle in performance and scalability is: 1. MySQL performs better on small to medium-sized data sets, suitable for fast scaling and efficient reading and writing; 2. Oracle has more advantages in handling large data sets and complex queries, suitable for high availability and complex business logic. MySQL extends through master-slave replication and sharding technologies, while Oracle achieves high availability and scalability through RAC.
