New release of Perl DBD::ODBC with support for MS SQL Server_MySQL
I just released the 3rddevelopment release of DBD::ODBC (1.39_3). Apart from a few bug fixes and other changes (see below) this release adds support for MS SQL Server Query Notification. Query notification allows an application to request a notification from SQL Server when the results of a query change. Once set up you can block on an execute call waiting for the query to change. Here is an excerpt from the pod:
MS SQL Server Query Notification
Query notifications were introduced in SQL Server 2005 and SQL Server Native Client. Query notifications allow applications to be notified when data has changed.
DBD::ODBC supports query notification with MS SQL Server using the additional prepare attributes odbc_qn_msgtxt, odbc_qn_options and odbc_qn_timeout. When you pass suitable values for these attributes to the prepare method, DBD::ODBC will make the appropriate SQLSetStmtAttr calls after the statement has been allocated.
It is beyond the scope of this document to provide a tutorial on doing this but here are some notes that might help you get started.
On SQL Server
- Create database MyDatabase
- ALTER DATABASE MyDatabase SET ENABLE_BROKER
- use MyDatabase
- CREATE TABLE QNtest (a int NOT NULL PRIMARY KEY, b nchar(5) NOT NULL, c datetime NOT NULL)
- INSERT QNtest (a, b, c) SELECT 1, 'ALFKI', '19991212'
- CREATE QUEUE myQueue
- CREATE SERVICE myService ON QUEUE myQueue
To subscribe to query notification for this example
# Prepare the statement.
# This is the SQL you want to know if the result changes later
my$sth=$dbh->prepare(q/SELECT a, b, c FROM dbo.QNtest WHERE a = 1/,
{odbc_qn_msgtxt=>'Message text',
odbc_qn_options=>'service=myService;local database=MyDatabase',
odbc_qn_timeout=>430000});
# Fetch and display the result set value.
while(my@row=$sth->fetchrow_array){
print"@row/n";
}
# select * from sys.dm_qn_subscriptions will return a record now you are subscribed
To wait for notification
# This query generates a result telling you which query has changed
# It will block until the timeout or the query changes
my$sth=$dbh->prepare(q/WAITFOR (RECEIVE * FROM MyQueue)/);
$sth->execute();
# in the mean time someone does UPDATE dbo.QNtest SET c = '19981212' WHERE a = 1
# Fetch and display the result set value.
while(my@row=$sth->fetchrow_array){
print"@row/n";
}
# You now need to understand the result and look to decide which query has changed
Now for the complete changes since 1.38
1.49_3 2014-05-01
[CHANGE IN BEHAVIOUR]
- As warned years ago, this release removes the odbc_old_unicode attribute. If you have a good reason to use it speak up now before the next non-development release.
[BUG FIXES]
- Fix rt89255: Fails to create test table for tests using PostgreSQL odbc driver. Change test suite to fallback on PRECISION if COLUMN_SIZE is not found.
[ENHANCEMENTS]
- Added support for MS SQL Server Query Notification. See the new section in the pod.
- Added a currently undocumented (and experimental) odbc_describe_param method on a statement handle which takes a parameter number as the only argument and returns an array of the data type, parameter size, decimal digits and nullable (as per SQLDescribeParam).
[DOCUMENTATION]
- Added FAQ on truncated column names with freeTDS.
[MISCELLANEOUS]
- I have removed the "experimental" tag for odbc_getdiaffield and odbc_getdiagrec methods.
1.49_2 2014-04-26
[BUG FIXES]
- Change to data_sources in 1.49_1 could lead to a compile error since data_sources was not returning a value if an error occurred.
1.49_1 2014-04-25
[BUG FIXES]
- If you had a lot of DSNs on Windows (more than 280 but it depends on the length of their names) and called the data_sources method it could crash your script. Code internally changed to stop putting the DSNs returned on the stack.
[CHANGE IN BEHAVIOUR]
- As warned years ago, the private data_sources method has been removed - use DBI one instead.
- Added FAQ entry of maximum number of allowed parameters.
[MISCELLANEOUS]

热AI工具

Undresser.AI Undress
人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover
用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool
免费脱衣服图片

Clothoff.io
AI脱衣机

Video Face Swap
使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热门文章

热工具

记事本++7.3.1
好用且免费的代码编辑器

SublimeText3汉化版
中文版,非常好用

禅工作室 13.0.1
功能强大的PHP集成开发环境

Dreamweaver CS6
视觉化网页开发工具

SublimeText3 Mac版
神级代码编辑软件(SublimeText3)

MySQL在Web应用中的主要作用是存储和管理数据。1.MySQL高效处理用户信息、产品目录和交易记录等数据。2.通过SQL查询,开发者能从数据库提取信息生成动态内容。3.MySQL基于客户端-服务器模型工作,确保查询速度可接受。

InnoDB使用redologs和undologs确保数据一致性和可靠性。1.redologs记录数据页修改,确保崩溃恢复和事务持久性。2.undologs记录数据原始值,支持事务回滚和MVCC。

MySQL在数据库和编程中的地位非常重要,它是一个开源的关系型数据库管理系统,广泛应用于各种应用场景。1)MySQL提供高效的数据存储、组织和检索功能,支持Web、移动和企业级系统。2)它使用客户端-服务器架构,支持多种存储引擎和索引优化。3)基本用法包括创建表和插入数据,高级用法涉及多表JOIN和复杂查询。4)常见问题如SQL语法错误和性能问题可以通过EXPLAIN命令和慢查询日志调试。5)性能优化方法包括合理使用索引、优化查询和使用缓存,最佳实践包括使用事务和PreparedStatemen

MySQL与其他编程语言相比,主要用于存储和管理数据,而其他语言如Python、Java、C 则用于逻辑处理和应用开发。 MySQL以其高性能、可扩展性和跨平台支持着称,适合数据管理需求,而其他语言在各自领域如数据分析、企业应用和系统编程中各有优势。

MySQL适合小型和大型企业。1)小型企业可使用MySQL进行基本数据管理,如存储客户信息。2)大型企业可利用MySQL处理海量数据和复杂业务逻辑,优化查询性能和事务处理。

MySQL索引基数对查询性能有显着影响:1.高基数索引能更有效地缩小数据范围,提高查询效率;2.低基数索引可能导致全表扫描,降低查询性能;3.在联合索引中,应将高基数列放在前面以优化查询。

MySQL的基本操作包括创建数据库、表格,及使用SQL进行数据的CRUD操作。1.创建数据库:CREATEDATABASEmy_first_db;2.创建表格:CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY,titleVARCHAR(100)NOTNULL,authorVARCHAR(100)NOTNULL,published_yearINT);3.插入数据:INSERTINTObooks(title,author,published_year)VA

MySQL适合Web应用和内容管理系统,因其开源、高性能和易用性而受欢迎。1)与PostgreSQL相比,MySQL在简单查询和高并发读操作上表现更好。2)相较Oracle,MySQL因开源和低成本更受中小企业青睐。3)对比MicrosoftSQLServer,MySQL更适合跨平台应用。4)与MongoDB不同,MySQL更适用于结构化数据和事务处理。
