在JDBC4.0推出后,它的從多的特性正在受到廣泛地關注。下面通過本文給大家介紹JDBC4.0操作Oracle中BLOB類型的數(shù)據(jù)的方法。
需要的jar包
使用ojdbc6.jar
在/META-INF/MANIFEST.MF里可以看到Specification-Version: 4.0
建表
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
create sequence seq_blobmodel_id start with 1 increment by 1 nocache; create table blobmodel ( blobid number(10) primary key not null , image blob ); 將文件寫入數(shù)據(jù)庫 /** * 將圖片文件存入數(shù)據(jù)庫 * @throws SQLException * @throws IOException */ public int writeBlob(String path) throws SQLException, IOException{ int result = 0; String sql = "insert into blobmodel(blobid,image) values(seq_blobmodel_id.nextval,?)" ; //1.創(chuàng)建Blob Blob image = DBHelper.getConnection().createBlob(); //2.將流放入blob OutputStream out = image.setBinaryStream(1); //3.讀取圖片,并寫入輸出流 FileInputStream fis = new FileInputStream(path); byte []buf = new byte[1024]; int len = 0; while((len=fis. read (buf))!=-1){ out .write(buf, 0, len); } result = DBHelper.executeUpdate2(sql, new Object[]{image});//自己簡單封裝了jdbc操作 fis. close (); out . close (); return result; } |
將文件從數(shù)據(jù)庫中讀出
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
|
/** * 將數(shù)據(jù)庫中的圖片文件讀出來 * @throws SQLException * @throws IOException */ public void readBlob() throws SQLException, IOException{ String sql = "select image from blobmodel where blobid=?" ; DBHelper.getConnection();// ResultSet rs = DBHelper.executeQuery(sql, new Object[]{1}); while(rs. next ()){ Blob image = rs.getBlob(1); InputStream is = image.getBinaryStream(); BufferedInputStream bis = new BufferedInputStream( is ); String path = "img/" +new Date ().getTime()+ ".jpg" ;//指定輸出的目錄為項目下的img文件夾 BufferedOutputStream bos = new BufferedOutputStream(new FileOutputStream(path)); byte []buf = new byte[1024]; int len = 0; while((len=bis. read (buf))!=-1){ bos.write(buf,0,len); } bos. close (); bis. close (); } } |
以上所述是小編給大家介紹的使用JDBC4.0操作Oracle中BLOB類型的數(shù)據(jù)的方法,希望對大家有所幫助,如果大家有任何疑問請給我留言,小編會及時回復大家的。在此也非常感謝大家對服務器之家網(wǎng)站的支持!
原文鏈接:http://www.cnblogs.com/excalimax/archive/2016/08/24/5804543.html