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How to solve database insertion performance problems in Java development
In Java development, database operations are one of the very common tasks. However, when data volume increases, database insertion performance can become a challenge. This article will introduce how to solve database insertion performance problems in Java development and provide some optimization suggestions.
Example:
String insertQuery = "INSERT INTO table_name (column1, column2) VALUES (?, ?)"; PreparedStatement preparedStatement = connection.prepareStatement(insertQuery); for (int i = 0; i < data.size(); i++) { preparedStatement.setString(1, data.get(i).getColumn1()); preparedStatement.setString(2, data.get(i).getColumn2()); preparedStatement.addBatch(); } preparedStatement.executeBatch(); connection.commit();
Example:
CREATE TABLE table_name ( column1 INT, column2 VARCHAR(255), INDEX index_name(column1) );
Example (using HikariCP):
HikariConfig config = new HikariConfig(); config.setJdbcUrl("jdbc:mysql://localhost:3306/database_name"); config.setUsername("username"); config.setPassword("password"); config.setMaximumPoolSize(100); config.setConnectionTimeout(10000); HikariDataSource dataSource = new HikariDataSource(config);
Example:
Statement statement = connection.createStatement(); for (int i = 0; i < data.size(); i++) { String insertQuery = "INSERT INTO table_name (column1, column2) VALUES ('" + data.get(i).getColumn1() + "', '" + data.get(i).getColumn2() + "')"; statement.addBatch(insertQuery); } statement.executeBatch();
Example (using Apache Commons DBCP):
BasicDataSource dataSource = new BasicDataSource(); dataSource.setUrl("jdbc:mysql://localhost:3306/database_name"); dataSource.setUsername("username"); dataSource.setPassword("password"); dataSource.setInitialSize(10); dataSource.setMaxTotal(100); DataSourceUtils.getConnection(dataSource);
In Java development, database insertion performance issues are one of the common challenges. By using methods such as batch inserts, indexes, adjusting database connection pools, using batch statements, and using connection pools to reuse connections, you can effectively solve these problems and improve database insertion performance. Therefore, developers should choose the appropriate optimization method based on the actual situation and conduct performance testing and tuning.
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