java.sql,javax.sql,javax.naming包 ? ?默认 TYPE_FORWARD_ONLY: 结果集只能向前滚动,只能调用next(),不能重定位游标 TYPE_SCROLL_INSENSITIVE, TYPE_SCROLL_SENSITIVE:可以重定位游标 TYPE_SCROLL_INSENSITIVE:底层修改不会反映到结果集 TYPE_SCROLL_SENSIT
java.sql,javax.sql,javax.naming包
?
?默认TYPE_FORWARD_ONLY:
结果集只能向前滚动,只能调用next(),不能重定位游标
TYPE_SCROLL_INSENSITIVE,
TYPE_SCROLL_SENSITIVE:可以重定位游标
TYPE_SCROLL_INSENSITIVE:底层修改不会反映到结果集
TYPE_SCROLL_SENSITIVE:会实时显示真实数据
?
默认CONCUR_READ_ONLY:不能更新到底层,只是读取
CONCUR_UPDATABLE:可以更新,可以写入
?
?
stmt = con.createStatement(ResultSet.TYPE_SCROLL_SENSITIVE,//可滚动,实时显示 ResultSet.CONCUR_UPDATABLE);//可写入 ResultSet uprs = stmt.executeQuery( "SELECT * FROM " + dbName + ".COFFEES"); while (uprs.next()) { float f = uprs.getFloat("PRICE"); uprs.updateFloat( "PRICE", f * percentage);//设置某列 uprs.updateRow();//提交 }
?
stmt = con.createStatement( ResultSet.TYPE_SCROLL_SENSITIVE ResultSet.CONCUR_UPDATABLE); ResultSet uprs = stmt.executeQuery( "SELECT * FROM " + dbName + ".COFFEES"); uprs.moveToInsertRow();//准备插入 uprs.updateString("COF_NAME", coffeeName); uprs.updateInt("SUP_ID", supplierID); uprs.updateFloat("PRICE", price); uprs.updateInt("SALES", sales); uprs.updateInt("TOTAL", total); uprs.insertRow();//提交 uprs.beforeFirst();//游标不能再指向这里
?
?
RowSet对象都是JavaBean组件
如果数据库不支持游标滚动,也不支持实时更新,可以用RowSet替代
RowSet有保持连接的和离线的两种
?
?
public void createProcedureGetSupplierOfCoffee() throws SQLException { String createProcedure = null; // ... createProcedure = "create procedure GET_SUPPLIER_OF_COFFEE(" + "IN coffeeName varchar(32), " +//in "OUT supplierName varchar(40)) " +//out "begin " + "select SUPPLIERS.SUP_NAME into " + "supplierName " + "from SUPPLIERS, COFFEES " + "where SUPPLIERS.SUP_ID = " + "COFFEES.SUP_ID " + "and coffeeName = COFFEES.COF_NAME; " + "select supplierName; " + "end"; // ... }
?
createProcedure = "create procedure RAISE_PRICE(" + "IN coffeeName varchar(32), " + "IN maximumPercentage float, " + "INOUT newPrice numeric(10,2)) " +//inout "begin " + "main: BEGIN " + "declare maximumNewPrice " + "numeric(10,2); " + "declare oldPrice numeric(10,2); " + "select COFFEES.PRICE into oldPrice " + ...
?
cs = this.con.prepareCall("{call GET_SUPPLIER_OF_COFFEE(?, ?)}"); cs.setString(1, coffeeNameArg); cs.registerOutParameter(2, Types.VARCHAR); cs.executeQuery(); String supplierName = cs.getString(2);
?
cs = this.con.prepareCall("{call RAISE_PRICE(?,?,?)}"); cs.setString(1, coffeeNameArg); cs.setFloat(2, maximumPercentageArg); cs.registerOutParameter(3, Types.NUMERIC); cs.setFloat(3, newPriceArg); cs.execute(); Because the parameter newPrice (the third parameter in the procedure
?
?

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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