How to solve the data consistency problem during the technical transformation from MySQL to DB2?

How to solve the data consistency problem during the technical transformation from MySQL to DB2?

With the development of enterprise business and changes in needs, many enterprises have chosen to switch from the original MySQL database to DB2 database in terms of data storage and management. However, during this technological transformation, data consistency issues may arise due to the different storage mechanisms and characteristics of the two databases. This article will introduce how to solve the data consistency problem during the technical transformation from MySQL to DB2, and give some code examples.

1. Data type conversion issues:
   There are some differences between MySQL and DB2 in the definition and storage of data types. For example, MySQL's DATETIME type can store 'YYYY-MM-DD HH:MM: SS' format date and time, while DB2 uses the TIMESTAMP type. During the conversion process, appropriate conversion of data types in MySQL is required. The following is a code example to convert the DATETIME type in MySQL to DB2's TIMESTAMP type:

// 从MySQL数据库读取数据
String mysqlDateTime = "2022-01-01 12:00:00";
LocalDateTime localDateTime = LocalDateTime.parse(mysqlDateTime, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
Timestamp timestamp = Timestamp.valueOf(localDateTime);

// 将数据插入到DB2数据库
PreparedStatement pstmt = conn.prepareStatement("INSERT INTO table_name (timestamp_column) VALUES (?)");
pstmt.setTimestamp(1, timestamp);
pstmt.executeUpdate();

2. Transaction processing issues:
   MySQL and DB2 have different levels of support for transaction processing, May cause transaction consistency issues during data conversion. Before database migration, transactions in MySQL need to be analyzed and recorded to ensure transaction processing consistency during data conversion. The following is a code example that shows how to maintain transaction consistency:

// MySQL事务开始
conn.setAutoCommit(false);
Savepoint savepoint = conn.setSavepoint();

try {
  // 事务逻辑处理代码
  // ...
  
  // DB2事务开始
  conn2.setAutoCommit(false);

  try {
    // 事务逻辑处理代码
    // ...

    // DB2事务提交
    conn2.commit();
  } catch (SQLException ex) {
    // DB2事务回滚
    conn2.rollback();
    throw ex;
  }
  
  // MySQL事务提交
  conn.commit();
} catch (SQLException ex) {
  // MySQL事务回滚到指定的保存点
  conn.rollback(savepoint);
  throw ex;
} finally {
  // 恢复MySQL的自动提交模式
  conn.setAutoCommit(true);
}

3. Data consistency verification during data migration:
   After completing the data migration, you need to Data in MySQL and DB2 databases are verified to ensure that the data is not lost or damaged during the conversion process. Code can be written to compare whether the data in the same table in two databases is consistent. The following is a code example:

// 从MySQL数据库读取数据
PreparedStatement pstmt1 = conn1.prepareStatement("SELECT * FROM table_name");
ResultSet rs1 = pstmt1.executeQuery();

// 从DB2数据库读取数据
PreparedStatement pstmt2 = conn2.prepareStatement("SELECT * FROM table_name");
ResultSet rs2 = pstmt2.executeQuery();

// 比较数据
while (rs1.next() && rs2.next()) {
  // 比较每一行的数据是否相同
  // ...
}

During the data consistency verification process, more complex comparisons can be written according to specific needs. Logic, such as considering indexes, constraints, triggers, etc. in the database.

Through the above methods, the data consistency problem can be solved during the technical transformation process from MySQL to DB2. In practical applications, it is also necessary to comprehensively consider performance and accuracy requirements based on specific business conditions and data scale, and adopt appropriate solutions and technical means to ensure data integrity and consistency.

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