我在MySQL中有一个数据库,我想以编程方式在FileMaker Pro中创建所有相同的表和字段。我可以使用JDBC自己做,但我希望已经有一个库可以做到这一点。
我查看了Apache的DDLUtils,但是我无法弄清楚如何构建它(它使用Maven构建系统,当我尝试构建它时会出现致命错误。)
答案 0 :(得分:1)
我自己写了代码,结果并没那么难。这是为了生成MySQL的模式;我没有测试过FileMaker,但它应该非常相似。
package com.prosc.db;
import java.sql.DatabaseMetaData;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.HashSet;
import java.util.Set;
import java.util.logging.Level;
import java.util.logging.Logger;
/**
* Created by IntelliJ IDEA. User: jesse Date: 11/21/11 Time: 1:34 PM
*/
public abstract class SchemaGenerator {
private static final Logger log = Logger.getLogger( SchemaGenerator.class.getName() );
public String createDatabaseSql( String databasename ) {
return "CREATE DATABASE " + databasename;
}
/** This should return the String required to create a new table
* @param tableName The name of the table in the source database. This is also used as the name of the table to generate.
* @param metaData A JDBC metadata object from the source database (where the schema is being created from, not where it's being written to)
* */
public String createTableSql( DatabaseMetaData metaData, String tableName ) throws SQLException {
ResultSet columnsMetadata = metaData.getColumns( null, null, tableName, null );
Set<String> pkNames = new HashSet<String>(3);
try {
ResultSet pkResultSet = metaData.getPrimaryKeys( null, null, tableName );
while( pkResultSet.next() ) {
pkNames.add( pkResultSet.getString( 4 ) );
}
} catch( Exception e ) {
log.log( Level.WARNING, "Could not determine primary keys; will need to be manually configured", e );
}
StringBuffer sql = new StringBuffer();
sql.append( "CREATE TABLE " + tableName + " (" );
String delim = "";
while( columnsMetadata.next() ) {
sql.append( delim );
delim = ", ";
String columnName = columnsMetadata.getString( 4 );
String sqlTypename = columnsMetadata.getString(6);
int typeCode = columnsMetadata.getInt( 5 );
String targetTypename = targetTypename( sqlTypename, typeCode );
if( targetTypename == null ) {
log.info( "Unknown typename for type code " + typeCode + "; SQL type name is " + sqlTypename );
continue;
}
int columnSize = columnsMetadata.getInt( 7 );
boolean nullsProhibited = "NO".equalsIgnoreCase( columnsMetadata.getString(18) );
int precision = columnsMetadata.getInt( 9 );
appendFieldCreationClause( sql, columnName, targetTypename, columnSize, precision, nullsProhibited, pkNames.contains( columnName ), metaData.getIdentifierQuoteString(), columnsMetadata );
}
sql.append( ")" );
return sql.toString();
}
public void appendFieldCreationClause( StringBuffer buffer, String columnName, String targetTypename, int columnSize, int precision, boolean nullsProhibited, boolean isPrimaryKey, String identifierQuoteString, ResultSet columnMetaData ) {
if( isPrimaryKey ) {
targetTypename = "INT";
precision = 0;
}
buffer.append( identifierQuoteString + columnName + identifierQuoteString + " " + targetTypename );
if( columnSize > 0 ) {
buffer.append( "(" + columnSize );
if( precision > 0 ) {
buffer.append( "," + precision );
}
buffer.append( ")" );
}
if( "id".equalsIgnoreCase( columnName ) ) {
buffer.append( " UNIQUE" );
}
if( nullsProhibited ) {
buffer.append( " NOT NULL" );
}
if( isPrimaryKey ) {
buffer.append( " AUTO_INCREMENT" );
buffer.append( " PRIMARY KEY" );
}
}
public String targetTypename( String sqlTypename, int typeCode ) {
return sqlTypename;
}
}