关于JDBC下使用SQLite DB问题总结（Windows下和Linux下使用）

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关于JDBC下使用SQLite DB问题总结

因为公司的服务器在Linux下，同时也需要在Windows下运行，所以这方面的工作必须做的仔细。以下几点收获可以给大伙分享，避免因为一些低级错误影响项目开发。

在Windows下SQLite JDBC 路径必须是小写，并且路径中需要添加/

在Linux下SQLite JBDC路径严格区分大小写，并且路径中不需要添加/

所以在使用过程一定要注意：以下几行代码就是判断这个环境的：

public synchronized List getPetternList(String pattern) throws Exception{log.info("getPetternList DB="+pattern);String path = MLotteryContext.getInstance().get("pettern.dir");File pathDir = new File(path);if(!pathDir.exists())pathDir.mkdirs();log.info("pathDir = "+pathDir);String petternPath = path+"pattern.db";File newFile = new File(petternPath);log.info("==========start delete Old Pettern DB==========");deleteFile(newFile);log.info("==========End   delete Old Pettern DB==========");log.info("======Start =======Write Pettern DB===============");//------------------------//if (!newFile.exists()) {//newFile.createNewFile();//}//log.info("=============setExecutable===============");//newFile.setExecutable(true);//log.info("=============setReadable=================");//newFile.setReadable(true);//log.info("=============setWritable=================");//newFile.setWritable(true);//InputStream inStream = new FileInputStream(pattern);//FileOutputStream fs = new FileOutputStream(newFile);//byte[] buffer = new byte[1444];//int bytesum = 0;//int byteread = 0;//while ((byteread = inStream.read(buffer)) != -1) {//bytesum += byteread;//log.info("=============bytesum===="+bytesum);////System.out.println(bytesum);//fs.write(buffer, 0, byteread);//}//inStream.close();//log.info("======End  =======Write Pettern DB===============");File oldFile = new File(pattern);boolean bool = oldFile.renameTo(newFile);log.info("Current PetternDB:"+newFile.getPath()+" bool = " + bool);Class.forName("org.sqlite.JDBC");log.info("DB="+petternPath);log.info("====Start get Server System Type ==========");Properties props=System.getProperties(); //获得系统属性集String osName = props.getProperty("os.name"); //操作系统名称log.info("Current OS Type :"+osName);log.info("====End  get Server System Type ==========");osName = osName.toLowerCase();int index = 0;index = osName.indexOf("windows");String JDBC = "jdbc:sqlite:"+petternPath;if(index > -1){petternPath = petternPath.toLowerCase();JDBC="jdbc:sqlite:/"+petternPath;}log.info("path = "+petternPath);log.info("JDBC: "+JDBC);Connection conn = DriverManager.getConnection(JDBC);log.info("getPetternList conn="+conn.toString());Statement stat = conn.createStatement();ResultSet rs = stat.executeQuery("select * from pattern");List<String> list = null;if(rs != null){list = new ArrayList<String>();}while (rs.next()) {String pid = rs.getString("pattern_id");log.info("pattern_id = "+pid);list.add(pid);}rs.close();conn.close();deleteFile(newFile);return list;}

只有这样做才能避免老是出现：

java.sql.SQLException: out of memory
at org.sqlite.DB.throwex(DB.java:252)
at org.sqlite.NestedDB.open(NestedDB.java:47)
at org.sqlite.Conn.<init>(Conn.java:36)
at org.sqlite.JDBC.connect(JDBC.java:38)
at java.sql.DriverManager.getConnection(DriverManager.java:582)

这种无厘头的异常！！！！！

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