2.5 Gathering Writes

简介: 2.5 Gathering Writes

使用如下方式写入,可以将多个 buffer 的数据填充至 channel

try (RandomAccessFile file = new RandomAccessFile("helloword/3parts.txt", "rw")) { FileChannel channel = file.getChannel(); ByteBuffer d = ByteBuffer.allocate(4); ByteBuffer e = ByteBuffer.allocate(4); channel.position(11);


d.put(new byte[]{'f', 'o', 'u', 'r'});
e.put(new byte[]{'f', 'i', 'v', 'e'});
d.flip();
e.flip();
debug(d);
debug(e);
channel.write(new ByteBuffer[]{d, e});

} catch (IOException e) { e.printStackTrace(); }

结果 +-------------------------------------------------+ |  0  1  2  3  4  5  6  7  8  9  a  b  c  d  e  f | +--------+-------------------------------------------------+----------------+ |00000000| 66 6f 75 72                                     |four            | +--------+-------------------------------------------------+----------------+ +-------------------------------------------------+ |  0  1  2  3  4  5  6  7  8  9  a  b  c  d  e  f | +--------+-------------------------------------------------+----------------+ |00000000| 66 69 76 65                                     |five

文件内容 onetwothreefourfive|


目录
相关文章
|
9月前
|
监控 NoSQL Redis
Asynchronous AOF fsync is taking too long (disk is busy?). Writing the AOF buffer without waiting for fsync to complete, this may slow down Redis.
Asynchronous AOF fsync is taking too long (disk is busy?). Writing the AOF buffer without waiting for fsync to complete, this may slow down Redis.
|
前端开发 JavaScript
Synchronous
Synchronous(同步)和sync(同步函数)是JavaScript中用于处理同步操作的关键概念。
111 2
2.4 Scattering Reads
2.4 Scattering Reads
69 0
|
关系型数据库 MySQL
Consistent Nonlocking Reads,Locking Reads 和Phantom Rows
以Consistent Nonlocking Reads,Locking Reads为突破点,用简单的例子来说明mysql常用的事务隔离级别(READ COMMITTED, REPEATABLE READ)和lock(record lock,gap lock,next-key lock, Insert Intention Lock)的关系
Consistent Nonlocking Reads,Locking Reads 和Phantom Rows
|
关系型数据库 数据库 Oracle
|
SQL 关系型数据库 Oracle