https://www.percona.com/blog/2013/02/01/implications-of-metadata-locking-changes-in-mysql-5-5/

implications of Metadata Locking Changes in MySQL 5.5

Ovais Tariq  | February 1, 2013 |  Posted In: Insight for DBAsInsight for DevelopersMySQL

While most of the talk recently has mostly been around the new changes in MySQL 5.6 (and that is understandable), I have had lately some very interesting cases to deal with, with respect to the Metadata Locking related changes that were introduced in MySQL 5.5.3. It appears that the implications of Metadata Locking have not been covered well, and since there are still a large number of MySQL 5.0 and 5.1 installations that would upgrade or are in the process of upgrading to MySQL 5.5, I thought it necessary to discuss what these implications exactly are.

To read what Metadata Locking exactly is please read this section here in the MySQL manual.

Let’s start off with having a look at the Meta Data Locking behavior prior to MySQL 5.5.3

Metadata Locking behavior prior to MySQL 5.5.3

Prior to MySQL 5.5.3 a statement that opened a table only held meta data locks till the end of the statement and not the end of the transaction. This meant that transaction was not really isolated, because the same query could return different results if executed twice and if a DDL was executed between the query invocations. Let me give you an example via a simple test case where I will add a new column to the table while a transaction in REPEATABLE-READ isolation mode is ACTIVE.

 
 
 
 
 

Shell

 
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
34
35
36
37
38
39
session1 > select @@tx_isolation;
+-----------------+
| @@tx_isolation  |
+-----------------+
| REPEATABLE-READ |
+-----------------+
1 row in set (0.00 sec)
 
session1 > start transaction;
Query OK, 0 rows affected (0.00 sec)  
 
session1 > select * from test where id=1;
+----+------+
| id | x    |
+----+------+
|  1 | foo  |
+----+------+
1 row in set (0.00 sec)
 
session2 > ALTER TABLE test add column c char(32) default 'dummy_text';
Query OK, 2 rows affected (0.57 sec)
Records: 2  Duplicates: 0  Warnings: 0
 
session1 > select * from test where id=1;
Empty set (0.00 sec)
 
session1 > rollback;
Query OK, 0 rows affected (0.00 sec)  
 
session1 > start transaction;
Query OK, 0 rows affected (0.00 sec)  
 
session1 > select * from test where id=1;
+----+------+------------+
| id | x    | c          |
+----+------+------------+
|  1 | foo  | dummy_text |
+----+------+------------+
1 row in set (0.00 sec)

And you can see how isolation is broken because the SELECT was not repeatable although transaction isolation level of REPEATABLE-READ was used. This behavior of versions prior to 5.5 also means that queries could be written in different order to the binary log breaking locking semantics and contrary to serialization concepts. For example take a look at the following excerpt from the binary log of a case when an UPDATE transaction is mixed with an ALTER:

 
 
 
 
 

Shell

 
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
# at 536
#130201 11:21:03 server id 1  end_log_pos 658   Query   thread_id=8     exec_time=0     error_code=0
SET TIMESTAMP=1359714063/*!*/;
ALTER TABLE test add column id_2 int(11) default 0 after id
/*!*/;
# at 658
#130201 11:21:39 server id 1  end_log_pos 726   Query   thread_id=7     exec_time=0     error_code=0
SET TIMESTAMP=1359714099/*!*/;
BEGIN
/*!*/;
# at 726
# at 773
#130201 11:21:35 server id 1  end_log_pos 773   Table_map: `test`.`test` mapped to number 17
#130201 11:21:35 server id 1  end_log_pos 829   Update_rows: table id 17 flags: STMT_END_F
 
BINLOG '
L5cLURMBAAAALwAAAAUDAAAAABEAAAAAAAEABHRlc3QABHRlc3QAAwMD/gL+CQY=
L5cLURgBAAAAOAAAAD0DAAAAABEAAAAAAAEAA///+AIAAAAAAAAAA2JhcvgCAAAAAAAAAANob3A=
'/*!*/;
### UPDATE test.test
### WHERE
###   @1=2 /* INT meta=0 nullable=0 is_null=0 */
###   @2=0 /* INT meta=0 nullable=1 is_null=0 */
###   @3='bar' /* STRING(9) meta=65033 nullable=1 is_null=0 */
### SET
###   @1=2 /* INT meta=0 nullable=0 is_null=0 */
###   @2=0 /* INT meta=0 nullable=1 is_null=0 */
###   @3='hop' /* STRING(9) meta=65033 nullable=1 is_null=0 */
# at 829
#130201 11:21:39 server id 1  end_log_pos 856   Xid = 85
COMMIT/*!*/;

Note how ALTER is logged before the UPDATE, because ALTER did not block waiting for the transaction to commit.

For the reasons described above the implementation of Metadata Locking was changed, starting MySQL 5.5.3. Let’s see how this works now.

Metadata Locking behavior starting MySQL 5.5.3

Starting with 5.5.3 DDL statements that modify the table metadata are executed in an isolated fashion consistent with transactional behavior. This means that any open transaction will hold metadata locks on the table it has accessed for as long as the transaction is open. Since an open transaction retains metadata locks on all tables that were opened by the transaction, hence any DDL operation cannot commence till all the transactions that accessed that table are open. Let’s see this in affect via a simple test case:

 
 
 
 
 
 

Shell

 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
session1 > start transaction;
Query OK, 0 rows affected (0.00 sec)
 
session1 > select * from test order by id;
+----+------+
| id | x    |
+----+------+
|  1 | foo  |
|  2 | bar  |
+----+------+
2 rows in set (0.00 sec)
 
session2 > ALTER TABLE test add column c char(32) default 'dummy_text';
 
session3 > show processlist;
+----+----------+-----------+------+---------+------+---------------------------------+-------------------------------------------------------------+
| Id | User     | Host      | db   | Command | Time | State                           | Info                                                        |
+----+----------+-----------+------+---------+------+---------------------------------+-------------------------------------------------------------+
|  1 | msandbox | localhost | test | Sleep   |  140 |                                 | NULL                                                        |
|  2 | msandbox | localhost | test | Query   |    3 | Waiting for table metadata lock | ALTER TABLE test add column c char(32) default 'dummy_text' |
|  3 | msandbox | localhost | test | Query   |    0 | NULL                            | show processlist                                            |
+----+----------+-----------+------+---------+------+---------------------------------+-------------------------------------------------------------+
3 rows in set (0.00 sec)

You can see how the ALTER blocks, because the transaction in session1 is still open and once the transaction in session1 is closed, the ALTER proceeds through successfully:

 
 
 
 
 

Shell

 
1
2
3
4
5
6
session1 > rollback;
Query OK, 0 rows affected (0.00 sec)
 
session2 > ALTER TABLE test add column c char(32) default 'dummy_text';
Query OK, 2 rows affected (46.77 sec)
Records: 2  Duplicates: 0  Warnings: 0

Let’s see where the ALTER spent most of its time:

 
 
 
 
 

Shell

 
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
session2 > show profiles;
+----------+-------------+-------------------------------------------------------------+
| Query_ID | Duration    | Query                                                       |
+----------+-------------+-------------------------------------------------------------+
|        1 | 46.78110075 | ALTER TABLE test add column c char(32) default 'dummy_text' |
+----------+-------------+-------------------------------------------------------------+
1 row in set (0.00 sec)
 
session2 > show profile for query 1;
+------------------------------+-----------+
| Status                       | Duration  |
+------------------------------+-----------+
| starting                     |  0.000060 |
| checking permissions         |  0.000003 |
| checking permissions         |  0.000003 |
| init                         |  0.000005 |
| Opening tables               |  0.000045 |
| System lock                  |  0.000006 |
| setup                        |  0.000016 |
| creating table               |  0.168283 |
| After create                 |  0.000061 |
| copy to tmp table            |  0.165808 |
| rename result table          | 46.446738 |
| end                          |  0.000035 |
| Waiting for query cache lock |  0.000003 |
| end                          |  0.000006 |
| query end                    |  0.000003 |
| closing tables               |  0.000008 |
| freeing items                |  0.000016 |
| cleaning up                  |  0.000004 |
+------------------------------+-----------+
18 rows in set (0.00 sec)

So the ALTER waited on the meta data locks just after the table with the new structure had been created and populated with data but before the old table was swapped with the new one. Note that ALTER is a multi-step process, the old table is locked in shared mode and then something similar to the following steps are taken: a new table with the new structure is created and then INSERT INTO new_table SELECT * FROM old_table is done and then RENAME old_table to tmp_table, new_table to old_table and finally DROP tmp_table.
Let’s see another example, this time trying a RENAME:

 
 
 
 
 
 

Shell

 
1
2
3
4
5
6
7
8
9
10
11
session2 > RENAME TABLE test to test_2;
 
session3 > show processlist;
+----+----------+-----------+------+---------+------+---------------------------------+-----------------------------+
| Id | User     | Host      | db   | Command | Time | State                           | Info                        |
+----+----------+-----------+------+---------+------+---------------------------------+-----------------------------+
|  1 | msandbox | localhost | test | Sleep   |   49 |                                 | NULL                        |
|  2 | msandbox | localhost | test | Query   |   35 | Waiting for table metadata lock | RENAME TABLE test to test_2 |
|  3 | msandbox | localhost | test | Query   |    0 | NULL                            | show processlist            |
+----+----------+-----------+------+---------+------+---------------------------------+-----------------------------+
3 rows in set (0.00 sec)

And you can see that the RENAME is also blocked, because a transaction that accessed the table “test” is still open.

So we have an interesting conclusion here that the ALTER waits only at the last stages when its making changes to the table metadata, a table ALTER that alters a big table can keep executing without any hindrance, copying rows from the table with the old structure to the table with the new structure and will only wait at the last step when its about to make changes to table metadata.

Let’s see another interesting side-affect of metadata locking.

When can ALTER render the table inaccessible?

Now there is another interesting side-affect, and that is that when the ALTER comes at the state where it needs to wait for metadata locks, at that point the ALTER simply blocks any type of queries to the table, we know that writes would be blocked anyhow for the entire duration of the ALTER, but reads would be blocked as well at the time when the ALTER is waiting for metadata locks. Let’s see this in action via another test case:

 
 
 
 
 
 

Shell

 
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
session1 > start transaction;
Query OK, 0 rows affected (0.00 sec)
 
session1 > select * from test_2 order by id;
+----+------+------------+
| id | x    | c          |
+----+------+------------+
|  1 | foo  | dummy_text |
|  2 | bar  | dummy_text |
+----+------+------------+
2 rows in set (0.00 sec)
 
session6 > ALTER TABLE test_2 DROP COLUMN c;
 
session7 > select * from test_2 order by id;
session8 > select * from test_2 order by id;
session9 > select * from test_2 order by id;
session10 > select * from test_2 order by id;
 
session3 > show processlist;
+----+----------+-----------+------+---------+------+---------------------------------+----------------------------------+
| Id | User     | Host      | db   | Command | Time | State                           | Info                             |
+----+----------+-----------+------+---------+------+---------------------------------+----------------------------------+
|  1 | msandbox | localhost | test | Sleep   |  403 |                                 | NULL                             |
|  3 | msandbox | localhost | test | Query   |    0 | NULL                            | show processlist                 |
|  6 | msandbox | localhost | test | Query   |  229 | Waiting for table metadata lock | ALTER TABLE test_2 DROP COLUMN c |
|  7 | msandbox | localhost | test | Query   |  195 | Waiting for table metadata lock | select * from test_2 order by id |
|  8 | msandbox | localhost | test | Query   |  180 | Waiting for table metadata lock | select * from test_2 order by id |
|  9 | msandbox | localhost | test | Query   |  169 | Waiting for table metadata lock | select * from test_2 order by id |
| 10 | msandbox | localhost | test | Query   |   55 | Waiting for table metadata lock | select * from test_2 order by id |
+----+----------+-----------+------+---------+------+---------------------------------+----------------------------------+
7 rows in set (0.00 sec)

And you can see that the table is blocked for any kind of operation. Let’s see the profiling information for one of the queries that was blocked to see where the query spent most of its time:

 
 
 
 
 

Shell

 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
session10 > show profile for query 1;
+----------------------+------------+
| Status               | Duration   |
+----------------------+------------+
| starting             |   0.000058 |
| checking permissions |   0.000006 |
| Opening tables       | 213.028481 |
| System lock          |   0.000009 |
| init                 |   0.000014 |
| optimizing           |   0.000002 |
| statistics           |   0.000005 |
| preparing            |   0.000006 |
| executing            |   0.000001 |
| Sorting result       |   0.000002 |
| Sending data         |   0.000040 |
| end                  |   0.000003 |
| query end            |   0.000002 |
| closing tables       |   0.000003 |
| freeing items        |   0.000007 |
| logging slow query   |   0.000002 |
| cleaning up          |   0.000002 |
+----------------------+------------+
17 rows in set (0.00 sec)

And you can see how the query spent nearly all its time waiting in the “Opening tables” state. Now this behavior with respect to ALTER making the table inaccessible in some cases is not really documented and as such I have reported a bug:http://bugs.mysql.com/bug.php?id=67647

Metadata locking behaves differently for queries that are serviced from the Query Cache, let’s see what happens in that case.

Metadata Locking and Query Cache

How does metadata locking behave with query_cache? That is an important question. If Query Cache is enabled and the SELECT can be serviced from the Query Cache then the SELECT will not block on the ALTER even though the ALTER is waiting for meta data locks. Why? Because in such a case no table open operation has to be performed. Let’s see this scenario via a test case:

 
 
 
 
 
 

Shell

 
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
session1 > start transaction;
Query OK, 0 rows affected (0.00 sec)
 
session1 > select * from test_2 order by id;
+----+------+
| id | x    |
+----+------+
|  1 | foo  |
|  2 | bar  |
+----+------+
2 rows in set (0.00 sec)
 
session6 > RENAME TABLE test_2 to test;
 
session10 > select * from test_2 order by id;
+----+------+
| id | x    |
+----+------+
|  1 | foo  |
|  2 | bar  |
+----+------+
2 rows in set (0.00 sec)
 
session3 > show processlist;
+----+----------+-----------+------+---------+------+---------------------------------+-----------------------------+
| Id | User     | Host      | db   | Command | Time | State                           | Info                        |
+----+----------+-----------+------+---------+------+---------------------------------+-----------------------------+
|  1 | msandbox | localhost | test | Sleep   |   22 |                                 | NULL                        |
|  3 | msandbox | localhost | test | Query   |    0 | NULL                            | show processlist            |
|  6 | msandbox | localhost | test | Query   |    3 | Waiting for table metadata lock | RENAME TABLE test_2 to test |
| 10 | msandbox | localhost | test | Sleep   |   37 |                                 | NULL                        |
+----+----------+-----------+------+---------+------+---------------------------------+-----------------------------+
4 rows in set (0.00 sec)

The query proceeds without being blocked on anything while the RENAME is still waiting for metadata locks. Let’s see the profiling information for this query:

 
 
 
 
 

Shell

 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
session10 > show profile for query 11;
+--------------------------------+----------+
| Status                         | Duration |
+--------------------------------+----------+
| starting                       | 0.000018 |
| Waiting for query cache lock   | 0.000003 |
| checking query cache for query | 0.000007 |
| checking privileges on cached  | 0.000003 |
| checking permissions           | 0.000005 |
| sending cached result to clien | 0.000011 |
| logging slow query             | 0.000002 |
| cleaning up                    | 0.000002 |
+--------------------------------+----------+
8 rows in set (0.00 sec)

You can see that no table open operation was performed and hence no wait.

Does the fact that the table has already been opened and table object is in the table_cache change anything with respect to metadata locks.

Metadata Locking and Table Cache

No matter if a connection accesses a table that is already in the Table Cache, any query to a table that has a DDL operation waiting, will block. Why? Because MySQL sees that the old entries in the Table Cache have to be invalidated, and any query that accesses the table will have to reopen the modified table and there will be new entries in the Table Cache. Let’s see this phenomenon in action:

 
 
 
 
 

Shell

 
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
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
session6 > ALTER TABLE test add column c char(32) default 'dummy_text';
Query OK, 2 rows affected (59.80 sec)
 
session10 > show status like 'Open%tables';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| Open_tables   | 30    |
| Opened_tables | 0     |
+---------------+-------+
2 rows in set (0.00 sec)
 
session10 > select * from test order by id;
+----+------+------------+
| id | x    | c          |
+----+------+------------+
|  1 | foo  | dummy_text |
|  2 | bar  | dummy_text |
+----+------+------------+
2 rows in set (53.78 sec)
 
session10 > show status like 'Open%tables';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| Open_tables   | 30    |
| Opened_tables | 1     |
+---------------+-------+
2 rows in set (0.00 sec)
 
session10 > show profile for query 18;
+----------------------+-----------+
| Status               | Duration  |
+----------------------+-----------+
| starting             |  0.000059 |
| checking permissions |  0.000010 |
| Opening tables       | 53.786685 |
| System lock          |  0.000009 |
| init                 |  0.000012 |
| optimizing           |  0.000003 |
| statistics           |  0.000007 |
| preparing            |  0.000006 |
| executing            |  0.000001 |
| Sorting result       |  0.000004 |
| Sending data         |  0.000033 |
| end                  |  0.000003 |
| query end            |  0.000002 |
| closing tables       |  0.000004 |
| freeing items        |  0.000009 |
| logging slow query   |  0.000002 |
| cleaning up          |  0.000002 |
+----------------------+-----------+
17 rows in set (0.00 sec)

As you can see that the SELECT query still blocks, and the status counter Opened_tables is also incremented once the query finishes.

So much for the explanation, now let’s take a look at the consequences.

Consequences

The consequences of these changes in metadata locking is that, if you have some really hot tables, for example in web applications its typical to see a “sessions” table that is accessed on every request, then care should be taken when you have to ALTER the table otherwise it can easily cause a stall as many threads can get piled up waiting for table metadata lock bringing down the MySQL server or causing all the connections to get depleted.

There are some other interesting consequences as well for application that use MySQL versions prior to 5.5:

  • I remember a customer case where there is a reporting slave that daily runs a long running transaction, this transactions tends to run for hours. Now everyday one of the tables was renamed and swapped and that table was the one that is read from by the long running transaction. As the slave tried to execute the rename query it would simply block waiting for the long running transaction to finish, this would cause the slave to lag for hours waiting for the transaction to be completed, as you know that the slave is single-threaded so it cannot really apply any other event. This was never an issue when the application was using MySQL version < 5.5 as the datastore.
  • There was another interesting case this time with how Active MQ uses MySQL when in HA mode. In HA mode there are two Active MQ servers, both try to do something similar to the following sequence of events:
     
     
     
     
     

    Shell

     
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    14
    15
    16
    17
    18
    session1 > CREATE TABLE t1(i int(11) not null auto_increment primary key) ENGINE=InnoDB;
    Query OK, 0 rows affected (0.09 sec)
     
    session1 > insert into t1 values(null);
    Query OK, 1 row affected (0.21 sec)
     
    session1 > start transaction;
    Query OK, 0 rows affected (0.00 sec)
     
    session1 > select * from t1 where i=1 for update;
    +---+
    | i |
    +---+
    | 1 |
    +---+
    1 row in set (0.00 sec)
     
    session2 > CREATE TABLE t1(i int(11) not null auto_increment primary key) ENGINE=InnoDB;

    When using MySQL 5.1 the second CREATE would just fail immediately with the error “ERROR 1050 (42S01): Table ‘t1’ already exists”, but because of how meta data locking works in 5.5 this is no longer the case, the second CREATE will simply block with unintended consequences. A workaround here would be to set lock_wait_timeout variable to a very low value and then execute the CREATE TABLE, this will make sure that the CREATE fails immediately (however due to a different reason):

     
     
     
     
     
     

    Shell

     
    1
    session2 > set session lock_wait_timeout=1;CREATE TABLE t1(i int(11) not null auto_increment primary key) ENGINE=InnoDB;

    However, I feel that the CREATE TABLE should fail in such a case when the table already exists and there is no other DDL like a DROP table waiting to run on the same table, and as such I have reported the bug:http://bugs.mysql.com/bug.php?id=67873

Related

 

Metadata Lock原理1的更多相关文章

  1. Metadata Lock原理6

      一 简介   上一篇文章 <MetaData Lock 之一>  简单的介绍了MySQL 引入MDL 的前因后果,本文深入了解MDL的实现原理和运行机制.二 MDL 的类型  meta ...

  2. Metadata Lock原理5

    [MySQL] 之一2015-09-05 15:46:51 分类: MySQL 一 简介 和MySQL打交道比较多的朋友,肯定遇到过 "Waiting for table metadata ...

  3. Metadata Lock原理4

     http://blog.chinaunix.net/uid-28212952-id-3400571.html    Alibaba  今天发生一个故障,MM复制结构(主备库),备库slave del ...

  4. Metadata Lock原理8

    http://www.kancloud.cn/taobaomysql/monthly/67141 MySQL· 5.7优化·Metadata Lock子系统的优化 背景 引入MDL锁的目的,最初是为了 ...

  5. Metadata Lock原理7

    http://blog.itpub.net/22664653/viewspace-1791744/ 一 简介 通过前面两篇文章的介绍,相信读到这里的各位对MDL 锁已经有了比较深入的了解了,本文将结合 ...

  6. Metadata Lock原理3

      http://blog.itpub.net/26515977/viewspace-1208250/   腾讯工程师 随着5.5.3引入MDL,更多的Query被“Waiting for table ...

  7. Metadata Lock原理2

    同事说开发机更改一个表结构,加字段,但是一直挂在那里,没反应.一开始以为表测试数据量很大,因为mysql增加表字段会重写表,后来看了下数据量很小,就另外查看过程.原因分析和处理如下:  一.环境  m ...

  8. mysql metadata lock(三)

    前言 MDL锁主要用来保护Mysql内部对象的元数据,通过MDL机制保证DDL与DML以及SELECT查询操作的并发.MySQL Meta Lock(一)和MySQL Meta Lock(二)已经讲了 ...

  9. mysql metadata lock(二)

    上一篇<mysql metadata lock(一)>介绍了为什么引入MDL,MDL作用以及MDL锁导致阻塞的几种典型场景,文章的最后还留下了一个小小的疑问.本文将更详细的介绍MDL,主要 ...

随机推荐

  1. Devexpress DateEdit选年月 z

    Mask与Display只显示年月2012-02这种格式,但用户选择起来还是不爽,体验太差. 效果如下: 代码: using Microsoft.VisualBasic; using System; ...

  2. 关于AsyncTask 的退出

    public class Task extends AsyncTask<Void, Void, Void>{ @Overrideprotected Void doInBackground( ...

  3. XShell 屏幕锁定的恢复方法(Ctrl+Q)

    操作XShell过程中很多时间大家会习惯性的按Ctrl+S进行保存. Ctrl+S在XShell的作用是屏幕锁定,很多朋友会无法操作,会直接把窗口关闭. 解决方法: 快捷键 Ctrl+Q 即能完成解锁 ...

  4. javascript AES加密 C#AES解密实现

    首先需要引入js类库 crypto-js(开源),地址:http://code.google.com/p/crypto-js 现在很多人无法打开这个地址不要紧,下面我们会将全部代码贴出来 需要引入 a ...

  5. Dubbo服务重载方法在JDK1.8上调用出错的问题(待解决)

    据说是javassist版本太低不支持JDK1.8,但是测试升级了还是调用出错.预留,待解决.

  6. WinDriver&amp;PCIE

    1.安装VS2012 安装VS2012略过,主要用它来做数据传输应用程序的,WINDRIVER提供了一系列API接口,方便了用户,使用户能直接进入用户态的编程,因为内核态的编程它已做好,不需要进行修改 ...

  7. Adress

    流水账的写法:因为不想让亲爱的你只看开头就关掉了我辛苦的劳作.流水账的好处是:便于逻辑的理解 http://software.intel.com/zh-cn/blogs/2014/01/20/cent ...

  8. 提高iOS开发效率的方法和工具

    http://www.cocoachina.com/ios/20150717/12626.html 介绍 这篇文章主要是介绍一下我在iOS开发中使用到的一些可以提升开发效率的方法和工具. IDE 首先 ...

  9. 【转】强大的vim配置文件,让编程更随意

    原文地址:http://www.cnblogs.com/ma6174/archive/2011/12/10/2283393.html 花了很长时间整理的,感觉用起来很方便,共享一下. 我的vim配置主 ...

  10. 如何设置(修改)jetty(maven插件maven-jetty-plugi)的端口

    在使用jetty的maven插件,有两种方式来改变jetty server的端口,第一种方式较为简单,即: 通过命令行指定端口:mvn -Djetty.port=9999 jetty:run 另一种方 ...