Microsoft SQL Server 2005 Everywhere Edition Access Database Synchronizer

Microsoft SQL Server 2005 Everywhere Edition Access Database Synchronizer provides a way to synchronize data between Microsoft Access database on a desktop and Microsoft SQL Server 2005 Everywhere Edition database on a device.

The setup installs the desktop component required for synchronizing Microsoft Access database with SQL Server Everywhere Edition database on the device. It also includes a read me file which has the documentation for the solution and a sample application. The sample application shows how the solution works and how to write applications for this solution. The components installed on the desktop can be used by third party applications to provide data synchronization between Microsoft Access database on the desktop and SQL Server Everywhere/SQL Mobile database on the device.

Download it here

Count Those Parentheses

This was a question on the microsoft.public.sqlserver.programming newsgroup, I thought it would be interesting to you to see wat i answered to this one
I believe that I have never used this many parenthese in my life before in a simple 2 column split

This is the question:
I have a column in a table that has multiple pieces of information in it that
I need to break out into various columns. The column is random but the
values I need to separate out are the number and the UN number as below:

245 HELIUM, COMPRESSED 2.2 UN1046


I need to separate the 2.2 and the UN1046 into different columns. How do I
parse this?



Here is the link to the original question at the microsoft.public.sqlserver.programming newsgroup


And here is my solution


CREATE TABLE Inventory (ItemDescription VARCHAR(99))
INSERT Inventory VALUES ('245 HELIUM, COMPRESSED 2.2 UN1046' )
INSERT Inventory VALUES ('24adada5 HELIsadasdadUM, sdsdsd 6.6 UN99' )
INSERT Inventory VALUES ('24adada5 HELIsadasdadUM, sdsdsd 446.6777 UN9988888' )
INSERT Inventory VALUES ('24adada5 HEdUM, sdsdsd 446.0 UN9988' )


SELECT RIGHT(ItemDescription,PATINDEX('% %',
REVERSE(ItemDescription))-1) AS COL1,
LTRIM(REVERSE(LEFT(REVERSE(LEFT(ItemDescription,(LEN(ItemDescription)-PATINDEX('% %', REVERSE(ItemDescription))))),
PATINDEX('% %',REVERSE(LEFT(ItemDescription,(LEN(ItemDescription)-PATINDEX('% %', REVERSE(ItemDescription)))))))))
AS COL2
FROM Inventory

SQL Server 2005 And SOA (Service-Oriented Architecture)

A white paper written by Don Kiely about one of the biggest buzzwords of this moment: SOA, Ruby on Rails is the other of course.

Here is an excerpt from the introduction: "The dominant client-server and n-tier application architectures of the 1990s ran into serious scalability and availability issues when used to implement massive Internet e-commerce sites. One of the major problems is that data tended to be stored in a massive, centralized database that all client components had direct access to. Virtually all communication with the database was in the form of SQL statements or batches of statements in a stored procedure, so that the client received a set of data for the specific task at hand.

Other problems arose when trying to incorporate “legacy” systems into newer applications. After decades of deploying a wide variety of systems using various proprietary technologies and platforms, the world was awash in systems that did their job perfectly well but had no clear path to interact with other applications in an increasingly connected environment. Achieving the agility needed by today’s applications has been extremely difficult. Business-to-business (B2B) interactions complicate things even further, requiring standard and reliable ways of conducting business electronically. Clearly, evolving systems that meet the needs of today’s global"

Read the complete white paper here: How SQL Server 2005 Enables Service-Oriented Database Architectures

SQL Server 2005 Best Practices Analyzer Coming Soon??

Microsoft Events has the following TechNet Webcast: Using the SQL Server Upgrade Advisor and New SQL Server 2005 Best Practices Analyzer Tools (Level 200)

Start Time: Thursday, September 07, 2006 9:30 AM Pacific Time (US & Canada)
End Time: Thursday, September 07, 2006 11:00 AM Pacific Time (US & Canada)


Description: Do you have plans to upgrade to Microsoft SQL Server 2005 in the near future? In this presentation, we describe two valuable tools from Microsoft that can help you identify and address potential issues proactively for a smoother upgrade experience. The Microsoft SQL Server 2005 Upgrade Advisor analyzes existing instances of Microsoft SQL Server 7.0 and SQL Server 2000, identifies feature and configuration changes that might affect your upgrade, and provides links to documentation that describes each issue and how to resolve it. The new SQL Server 2005 Best Practices Analyzer tool helps you ensure that SQL Server instances, databases, and SQL Server Integration Services (SSIS) packages adhere to Microsoft best practices. Attend this webcast to learn how to use these tools and how they can help you upgrade your SQL Server environment effectively and efficiently.

Presenter: Paul Mestemaker, Program Manager, Microsoft Corporation


So does this mean that the SQL Server 2005 Best Practices Analyzer is near completion? I don't know but I did ask the same question on the SQL Server Relational Engine Manageability Team Blog


And to give credit where credit is due I saw this first on Dis4ea's SQL Blog

Top SQL Server Google Searches For August 2006

These are the top SQL Searches on this site for the month of August I have left out searches that have nothing to do with SQL Server or programming (for example atlantic city escorts)

Here are the results...
dtsrun from sp
query multiple databases
first business day of each month query
Truncated table recovery
check constraint
dbcc report files
first business day of each month
String or binary data would be truncated.
SQL SELECT *
substr()
Login failed for user '(null)'. Reason: Not associated with a trusted SQL Server connection.
xp_fileexist
SQL SELECT WHERE DATE
CONCAT_NULL_YIELDS_NULL
check constrant
SQL 2000 parallel backup restore
dtsrun

Let's talk about a couple of these

query multiple databases
I covered that in this post

first business day of each month query
You really need to have a calendar table for this one. You can also use a number table and check for the min date where select datepart(dw,date) between 2 and 6 but what about holidays. A calendar table is your best bet. And I know just a place to get some code for that-->A way to load a calendar table

Login failed for user '(null)'. Reason: Not associated with a trusted SQL Server connection.
That can be found here: 2000 version, 2005 version

xp_fileexist
That is covered here

String or binary data would be truncated
And that was covered here


So there you have it, those were some of the searches and I covered some of that stuff already. I always like to look at the searches because it gives me ideas for future blog posts

Top 5 Posts For The Month Of August

Below are the top 5 posts according to Google Analytics for the month of August

Here are the posts in order by pageviews descending

Store The Output Of A Stored Procedure In A Table Without Creating A Table
6 Different Ways To Get The Current Identity Value From A Table
COALESCE And ISNULL Differences
Login failed for user 'sa'. Reason: Not associated with a trusted SQL Server connection. SQL 2005
OPENROWSET And Excel Problems

And I have also updated the Top 10 Articles of all time

sys.dm_exec_sessions

As I promised earlier today, here is the first of many posts about the Dynamic Management Views in SQL Server 2005.

What does the sys.dm_exec_sessions view return? It looks like it is a combination of DBCC USEROPTION and sp_who. Let's for example find out how many sessions are running, sleeping or dormant

Just a quick count of all the sessions
SELECT COUNT(*) as StatusCount,CASE status
WHEN 'Running' THEN 'Running - Currently running one or more requests'
WHEN 'Sleeping ' THEN 'Sleeping - Currently running no requests'
ELSE 'Dormant – Session is in prelogin state' END status
FROM sys.dm_exec_sessions
GROUP BY status

Let's list all SPID's
SELECT session_id,CASE status
WHEN 'Running' THEN 'Running - Currently running one or more requests'
WHEN 'Sleeping ' THEN 'Sleeping - Currently running no requests'
ELSE 'Dormant – Session is in prelogin state' END status
FROM sys.dm_exec_sessions


Let's just grab our own SPID
SELECT session_id,CASE status
WHEN 'Running' THEN 'Running - Currently running one or more requests'
WHEN 'Sleeping ' THEN 'Sleeping - Currently running no requests'
ELSE 'Dormant – Session is in prelogin state' END status
FROM sys.dm_exec_sessions
WHERE session_id = @@SPID


Now let's query all user sessions
SELECT * FROM sys.dm_exec_sessions
WHERE is_user_process =0

Then for the server you would change 0 to 1
SELECT * FROM sys.dm_exec_sessions
WHERE is_user_process =1

Just a quick count of all the transaction isolation levels
SELECT COUNT(*),CASE transaction_isolation_level
WHEN 0 THEN 'Unspecified'
WHEN 1 THEN 'ReadUncomitted'
WHEN 2 THEN 'Readcomitted'
WHEN 3 THEN 'Repeatable'
WHEN 4 THEN 'Serializable'
WHEN 5 THEN 'Snapshot' END AS TRANSACTION_ISOLATION_LEVEL
FROM sys.dm_exec_sessions
GROUP BY transaction_isolation_level



Let's look at some of these ANSI settings and while we are at it let's use UNPIVOT to return the results vertically
SELECT SPID,Value,ANSI_SETTING
FROM (
SELECT @@SPID as SPID,
CASE quoted_identifier
WHEN 1 THEN 'SET' ELSE 'OFF' END QUOTED_IDENTIFIER,
CASE arithabort
WHEN 1 THEN 'SET' ELSE 'OFF' END ARITHABORT,
CASE ansi_null_dflt_on
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_NULL_DFLT_ON,
CASE ansi_defaults
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_DEFAULTS ,
CASE ansi_warnings
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_WARNINGS,
CASE ansi_padding
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_PADDING,
CASE ansi_nulls
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_NULLS,
CASE concat_null_yields_null
WHEN 1 THEN 'SET' ELSE 'OFF' END CONCAT_NULL_YIELDS_NULL
FROM sys.dm_exec_sessions
WHERE session_id = @@SPID ) P
UNPIVOT (Value for ANSI_SETTING IN(
QUOTED_IDENTIFIER,ARITHABORT,ANSI_NULL_DFLT_ON,
ANSI_DEFAULTS,ANSI_WARNINGS,
ANSI_PADDING,ANSI_NULLS,CONCAT_NULL_YIELDS_NULL
)
) AS unpvt



Now let's see if we can duplicate DBCC USEROPTIONS
First run DBCC USEROPTIONS
And then run the following:

SELECT @@SPID as SPID,
CASE quoted_identifier
WHEN 1 THEN 'SET' ELSE 'OFF' END QUOTED_IDENTIFIER,
CASE arithabort
WHEN 1 THEN 'SET' ELSE 'OFF' END ARITHABORT,
CASE ansi_null_dflt_on
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_NULL_DFLT_ON,
CASE ansi_defaults
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_DEFAULTS ,
CASE ansi_warnings
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_WARNINGS,
CASE ansi_padding
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_PADDING,
CASE ansi_nulls
WHEN 1 THEN 'SET' ELSE 'OFF' END ANSI_NULLS,
CASE concat_null_yields_null
WHEN 1 THEN 'SET' ELSE 'OFF' END CONCAT_NULL_YIELDS_NULL,
CASE transaction_isolation_level
WHEN 0 THEN 'Unspecified'
WHEN 1 THEN 'ReadUncomitted'
WHEN 2 THEN 'Readcomitted'
WHEN 3 THEN 'Repeatable'
WHEN 4 THEN 'Serializable'
WHEN 5 THEN 'Snapshot' END AS TRANSACTION_ISOLATION_LEVEL,lock_timeout,date_first,date_format
FROM sys.dm_exec_sessions
WHERE session_id = @@SPID

It's probably not exactly the same and I don't know if I missed a column but below is the whole definition of the view and you can experiment with this yourself

Below is what the sys.dm_exec_sessions view returns
On the first line are the column name and the data type, below that is the description

sys.dm_exec_sessions

session_id smallint
Identifies the session associated with each active primary connection.

login_time datetime
Time when session was established.

host_name nvarchar(128)
Host associated with the session.

program_name nvarchar(128)
Program associated with the session.

host_process_id int
Process ID associated with the session.

client_version int
Version of the interface used by the client to connect to the Server.

client_interface_name nvarchar(32)
Name of the interface used by the client to connect to the Server.

security_id varbinary(85)
Microsoft Windows security ID associated with the login.

login_name nvarchar(128)
SQL Login Name associated with the session.

nt_domain nvarchar(128)
Domain from which session connection was made.

nt_user_name nvarchar(128)
Name of the user associated with the session.

status nvarchar(30)
Status of the session. Possible values:
-- Running - Currently running one or more requests
-- Sleeping - Currently running no requests
-- Dormant – Session is in prelogin state



context_info varbinary(128)
CONTEXT_INFO value for the session.

cpu_time int
CPU time, in milliseconds, that was used by this session.

memory_usage int
Number of 8-KB pages of memory used by this session.

total_scheduled_time int
Total time, in milliseconds, for which the session (requests within) were scheduled for execution.

total_elapsed_time int
Time, in milliseconds, since the session was established.

endpoint_id int
ID of the Endpoint associated with the session.

last_request_start_time datetime
Time at which the last request on the session began. This includes the currently executing request.

last_request_end_time datetime
Time of the last completion of a request on the session.

reads bigint
Number of reads performed, by requests in this session, during this session.

writes bigint
Number of writes performed, by requests in this session, during this session.

logical_reads bigint
Number of logical reads that have been performed on the session.

is_user_process bit
0 if the session is a system session. Otherwise, it is 1.

text_size int
TEXTSIZE setting for the session.

language nvarchar(128)
LANGUAGE setting for the session.

date_format nvarchar(3)
DATEFORMAT setting for the session.

date_first smallint
DATEFIRST setting for the session.

quoted_identifier bit
QUOTED_IDENTIFIER setting for the session.

arithabort bit
ARITHABORT setting for the session.

ansi_null_dflt_on bit
ANSI_NULL_DFLT_ON setting for the session.

ansi_defaults bit
ANSI_DEFAULTS setting for the session.

ansi_warnings bit
ANSI_WARNINGS setting for the session.

ansi_padding bit
ANSI_PADDING setting for the session.

ansi_nulls bit
ANSI_NULLS setting for the session.

concat_null_yields_null bit
CONCAT_NULL_YIELDS_NULL setting for the session.

transaction_isolation_level smallint
Transaction isolation level of the session.
-- 0 = Unspecified
-- 1 = ReadUncomitted
-- 2 = ReadCommitted
-- 3 = Repeatable
-- 4 = Serializable
-- 5 = Snapshot

lock_timeout int
LOCK_TIMEOUT setting for the session. The value is in milliseconds.

deadlock_priority int
DEADLOCK_PRIORITY setting for the session.

row_count bigint
number of rows returned on the session up to this point.

prev_error int
ID of the last error returned on the session.



So that's it for today, the view contains a lot more than I covered. i might expand this if I have time. If you have any suggestions leave me a comment or drop me an Email

The link to the post with all the views is here (as of today this is the only view that is covered)

Dynamic Management Views Blog Post Series Coming To A Screen Near You

Dynamic Management Views Blog Post Series Coming To A Screen Near You

Since I don't always know what to write I decided to give myself enough material for at least 6 months (if I cover 1 view a week). So here it is I will write about the Dynamic Management Views in SQL server 2005. The first view that I will cover is sys.dm_exec_sessions. You can use sys.dm_exec_sessions instead of DBCC USEROPTIONS only it's much better since you can query multiple SPID's

I will have the first post ready about 4:30 PM EST today

Here is a list of all the Dynamic Management Views in SQL Server 2005, I will link the ones that I write about to the post so that you can access all of this from 1 post (in theory)


Common Language Runtime Related Dynamic Management Views
sys.dm_clr_appdomains
sys.dm_clr_loaded_assemblies
sys.dm_clr_properties
sys.dm_clr_tasks

Database Mirroring Related Dynamic Management Views
sys.dm_db_mirroring_connections

Database Related Dynamic Management Views
sys.dm_db_file_space_usage
sys.dm_db_session_space_usage
sys.dm_db_partition_stats
sys.dm_db_task_space_usage

Execution Related Dynamic Management Views and Functions
sys.dm_exec_background_job_queue
sys.dm_exec_background_job_queue_stats
sys.dm_exec_cached_plans
sys.dm_exec_connections
sys.dm_exec_cursors
sys.dm_exec_plan_attributes
sys.dm_exec_query_optimizer_info
sys.dm_exec_query_plan
sys.dm_exec_query_stats
sys.dm_exec_requests
sys.dm_exec_sessions added on 2006-08-31
sys.dm_exec_sql_text

Full-Text Search Related Dynamic Management Views
sys.dm_fts_active_catalogs
sys.dm_fts_crawls
sys.dm_fts_crawl_ranges
sys.dm_fts_memory_buffers
sys.dm_fts_memory_pools

Index Related Dynamic Management Views and Functions
sys.dm_db_index_operational_stats
sys.dm_db_index_physical_stats
sys.dm_db_index_usage_stats added on 2006-09-10

I/O Related Dynamic Management Views and Functions
sys.dm_io_backup_tapes
sys.dm_io_cluster_shared_drives
sys.dm_io_pending_io_requests
sys.dm_io_virtual_file_stats

Query Notifications Related Dynamic Management Views
sys.dm_qn_subscriptions

Replication Related Dynamic Management Views
sys.dm_repl_articles
sys.dm_repl_schemas
sys.dm_repl_tranhash
sys.dm_repl_traninfo

Service Broker Related Dynamic Management Views
sys.dm_broker_activated_tasks
sys.dm_broker_connections
sys.dm_broker_forwarded_messages
sys.dm_broker_queue_monitors

SQL Operating System Related Dynamic Management Views
sys.dm_os_buffer_descriptors
sys.dm_os_memory_pools
sys.dm_os_child_instances
sys.dm_os_performance_counters
sys.dm_os_cluster_nodes
sys.dm_os_schedulers
sys.dm_os_hosts
sys.dm_os_stacks
sys.dm_os_latch_stats
sys.dm_os_sys_info
sys.dm_os_loaded_modules
sys.dm_os_tasks
sys.dm_os_memory_cache_clock_hands
sys.dm_os_threads
sys.dm_os_memory_cache_counters
sys.dm_os_virtual_address_dump
sys.dm_os_memory_cache_entries
sys.dm_os_wait_stats
sys.dm_os_memory_cache_hash_tables
sys.dm_os_waiting_tasks
sys.dm_os_memory_clerks
sys.dm_os_workers
sys.dm_os_memory_objects

Transaction Related Dynamic Management Views and Functions
sys.dm_tran_active_snapshot_database_transactions
sys.dm_tran_active_transactions
sys.dm_tran_current_snapshot
sys.dm_tran_current_transaction
sys.dm_tran_database_transactions
sys.dm_tran_locks
sys.dm_tran_session_transactions
sys.dm_tran_top_version_generators
sys.dm_tran_transactions_snapshot
sys.dm_tran_version_store

A SQL Super Hero Is Born

Ken Henderson promised to give away a signed book to the person who made the best Celko superhero
Tom Øyvind Hogstad has created one on his blog and I think it looks pretty good, even the S in the logo can stay; we can assume it stands for SQL




Below you will find my favorite Celko answer ever

>> how to set the PK in SS Mgmt Studio ? <<

Who cares?? You are not not a real SQL programmer!! You are a "mousey, mousey, click , click" non-programmer. (with a French accent) we spit on you, Video gamer! to be serious, real programmers use a text editor. They know the language they write in. Those stinking "video game tools"slow us down. And they lead us to ask questiosn like this in newsgroups where people liek me will maek fun of you.

You can find more of these Celko ‘answers on Joe Celko The SQL Apprentice

Visual Studio 2005 Team Edition For Database Professionals Review On Regdeveloper

The Register has a review on their subsite Regdeveloper about Visual Studio 2005 Team Edition For Database Professionals (also know as Data Dude) There are 3 pictures so that you can see what the tool looks like if you are afraid to install the latest Community Technology Preview on your system( you can get the latest release here )

The review is very positive about the tool and this will be one of those tools that you have to have in your shop, just as is the case with SQL Compare and SQL LiteSpeed right now.

There is one little problem with the review in the following sentence: "DD was partially the brainchild of Ewan Garden and Gert Drapers" they managed to spell Euan Garden's name wrong

Read the review here

Round Up Or Down To Nearest Percentage Value By Using FLOOR And CEILING

Let's say you have a value of 13.33 and you want to round this up and down to the nearest .25 in other words for 13.33 you want to display 13.25 and 13.50.How do you do that? It's pretty easy you do FLOOR(Value *4)/4 and CEILING(Value *4)/4
Below are 3 example, 1 for 0.25, 1 for 0.50 and 1 for 0.33


--0.25
DECLARE @Value DECIMAL(10,2)

SET @Value = 13.33

SELECT FLOOR(@Value * 4) / 4.0,CEILING(@Value * 4) / 4.0
GO


--0.50
DECLARE @Value DECIMAL(10,2)

SET @Value = 13.33

SELECT FLOOR(@Value * 2) / 2.0,CEILING(@Value * 2) / 2.0
GO


--0.33
DECLARE @Value DECIMAL(10,2)

SET @Value = 13.36

SELECT FLOOR(@Value * 3) / 3.0,CEILING(@Value * 3) / 3.

Win One Of Ken Henderson's SQL Server Guru Books By Creating A PhotoShop Joe Celko Action Figure

That's right you can win one of the following three books

The Guru's Guide to Transact-SQL
The Guru's Guide to SQL Server Architecture and Internals
The Guru's Guide to SQL Server Stored Procedures, XML, and HTML

All you have to do is create a photoshopped depiction of Joe Celko as an action figure.

The best one gets a signed copy of one of his books (too bad I already have all three)

Ken Henderson's Blog

Friday Joke and Frappr Map Update

Since it's Friday today I will keep it light
Let's start with a joke that I read in Wired magazine yesterday

What do you call a blonde who dyes her hair brown?

Artificial intelligence

Next topic

Yesterday I created a Frappr map and asked for you (the reader) to add yourself to the map so that I can see where some of you are located
As of now the countries that are marked are

United States 6 people
Russia 2 people
Canada 1 person
Norway 1 person

So not quite close to my IQ yet

SqlServerCode Frappr Map

I created a Frappr Map and would like for you (yes you the reader) to add yourself to the map because it would be interesting to see where some of the readers of this blog are located
So far I have less members (2) than my IQ, I would like to have more members than my IQ (believe me not a hard task at all)

So this is your chance; beat my IQ

My member name is Denis The SQL Menace

Quest Toad for SQL Server 2.0 Released

Quest Software, Inc. announced the newest version of its award-winning Toad™ database management product family. Toad for SQL Server 2.0 includes new features such as one-of-a-kind integrated debugging, SQL optimization, and integrated comparison and synchronization capabilities for SQL Server 2005. These new features further improve the productivity of SQL Server developers and database administrators (DBAs).


New features in version 2.0 of Toad for SQL Server include:

• Database Back-Up Indicator – Demonstrates when it is necessary to back up a system, and integrates seamlessly with LiteSpeed for SQL Server


• SQL Optimization - Automates the process of identifying problematic SQL then re-writing and benchmarking it for optimal SQL Server performance.


• Compare and Sync – Provides advanced integrated comparison and synchronization of schema, data and server settings of two SQL Server environments.


• Debugging – Offers integrated debugging capabilities for SQL Server 2005.

“With Toad for SQL Server 2.0, Quest offers customers a single interface to develop, administer and optimize their SQL Server environments,” said Douglas Chrystall, chief architect, Quest Software. “In addition to this release, Quest is making its Comparison Suite of tools free of charge. This further demonstrates Quest’s commitment to the SQL Server market – not only by expanding the breadth and depth our SQL Server portfolio with the enhancements to Toad, but also making essential tools, such as the Comparison Suite, freely available to the market.”

Pricing and Availability
A freeware version of 2.0 of Quest Toad for SQL Server is available now at http://www.toadsoft.com/toadsqlserver/toad_sqlserver.htm

A full production version is also available now with North American pricing beginning at $470 per seat (USD). For more information and to download free evaluation copies please visit: http://www.quest.com/toad_for_sql_server/

DDL Trigger Events Revisited

Many many moons ago I wrote about DDL Trigger Events
I promised that I would find out all the events that you can combine for example DDL_VIEW_EVENTS instead of CREATE_VIEW
,ALTER_VIEW and DROP_VIEW
So I finally did it, I created a bunch of triggers and then checked with a query that joined sys.triggers and sys.trigger_events

I started by creating a trigger and I used DDL_VIEW_EVENTS

CREATE TRIGGER ddlTestEvents
ON DATABASE
FOR DDL_VIEW_EVENTS
AS
PRINT 'You must disable Trigger "ddlTestEvents" to drop, create or alter Views!'
ROLLBACK;
GO

After that I would check the sys.triggers and sys.trigger_events views to see what was inserted

SELECT name,te.type,te.type_desc
FROM sys.triggers t
JOIN sys.trigger_events te on t.object_id = te.object_id
WHERE t.parent_class=0
AND name IN('ddlTestEvents')
ORDER BY te.type,te.type_desc

In this case 3 rows were inserted

DDL_VIEW_EVENTS
----------------------------------
41 CREATE_VIEW
42 ALTER_VIEW
43 DROP_VIEW

Then I altered the trigger as follows

CREATE TRIGGER ddlTestEvents
ON DATABASE
FOR DDL_USER_EVENTS
AS
PRINT 'You must disable Trigger "ddlTestEvents" to drop, create or alter Users!'
ROLLBACK;
GO

I checked again with the same query

SELECT name,te.type,te.type_desc
FROM sys.triggers t
JOIN sys.trigger_events te on t.object_id = te.object_id
WHERE t.parent_class=0
AND name IN('ddlTestEvents')
ORDER BY te.type,te.type_desc
in this case 3 rows were also inserted


DDL_USER_EVENTS
----------------------------------
131 CREATE_USER
132 ALTER_USER
133 DROP_USER

I kept repeating this until I had all the events and below is the result
The number that you see before the event is the type from the sys.trigger_events view

DDL_XML_SCHEMA_COLLECTION_EVENTS
----------------------------------
177 CREATE_XML_SCHEMA_COLLECTION
178 ALTER_XML_SCHEMA_COLLECTION
179 DROP_XML_SCHEMA_COLLECTION


DDL_VIEW_EVENTS
----------------------------------
41 CREATE_VIEW
42 ALTER_VIEW
43 DROP_VIEW


DDL_TRIGGER_EVENTS
----------------------------------
71 CREATE_TRIGGER
72 ALTER_TRIGGER
73 DROP_TRIGGER


DDL_USER_EVENTS
----------------------------------
131 CREATE_USER
132 ALTER_USER
133 DROP_USER


DDL_TYPE_EVENTS
----------------------------------
91 CREATE_TYPE
93 DROP_TYPE


DDL_TABLE_EVENTS
----------------------------------
21 CREATE_TABLE
22 ALTER_TABLE
23 DROP_TABLE


DDL_SYNONYM_EVENTS
----------------------------------
34 CREATE_SYNONYM
36 DROP_SYNONYM


DDL_STATISTICS_EVENTS
-----------------------------------
27 CREATE_STATISTICS
28 UPDATE_STATISTICS
29 DROP_STATISTICS


DDL_SERVICE_EVENTS
------------------------------------
161 CREATE_SERVICE
162 ALTER_SERVICE
163 DROP_SERVICE


DDL_SCHEMA_EVENTS
------------------------------------
141 CREATE_SCHEMA
142 ALTER_SCHEMA
143 DROP_SCHEMA


DDL_ROUTE_EVENTS
------------------------------------
164 CREATE_ROUTE
165 ALTER_ROUTE
166 DROP_ROUTE


DDL_ROLE_EVENTS
----------------------------------
134 CREATE_ROLE
135 ALTER_ROLE
136 DROP_ROLE


DDL_REMOTE_SERVICE_BINDING_EVENTS
-----------------------------------
174 CREATE_REMOTE_SERVICE_BINDING
175 ALTER_REMOTE_SERVICE_BINDING
176 DROP_REMOTE_SERVICE_BINDING


DDL_QUEUE_EVENTS
---------------------------------
157 CREATE_QUEUE
158 ALTER_QUEUE
159 DROP_QUEUE


DDL_PROCEDURE_EVENTS
----------------------------------
51 CREATE_PROCEDURE
52 ALTER_PROCEDURE
53 DROP_PROCEDURE


DDL_PARTITION_SCHEME_EVENTS
------------------------------------
194 CREATE_PARTITION_SCHEME
195 ALTER_PARTITION_SCHEME
196 DROP_PARTITION_SCHEME


DDL_PARTITION_FUNCTION_EVENTS
------------------------------
191 CREATE_PARTITION_FUNCTION
192 ALTER_PARTITION_FUNCTION
193 DROP_PARTITION_FUNCTION


DDL_EVENT_NOTIFICATION_EVENTS
----------------------------------
74 CREATE_EVENT_NOTIFICATION
76 DROP_EVENT_NOTIFICATION


DDL_ASSEMBLY_EVENTS
-----------------------------------
101 CREATE_ASSEMBLY
102 ALTER_ASSEMBLY
103 DROP_ASSEMBLY


DDL_CONTRACT_EVENTS
-----------------------------------
154 CREATE_CONTRACT
156 DROP_CONTRACT


DDL_FUNCTION_EVENTS
---------------------------------
61 CREATE_FUNCTION
62 ALTER_FUNCTION
63 DROP_FUNCTION


DDL_INDEX_EVENTS
---------------------------------
24 CREATE_INDEX
25 ALTER_INDEX
26 DROP_INDEX
206 CREATE_XML_INDEX


DDL_MESSAGE_TYPE_EVENTS
------------------------------------
151 CREATE_MESSAGE_TYPE
152 ALTER_MESSAGE_TYPE
153 DROP_MESSAGE_TYPE

Architecting Microsoft.com – SQL Server Podcast And Video

Channel 9 has an interesting video and podcast about the microsoft.com architecture with SQL Server
From the site: "At the heart of most web sites once you dig down below the routers, below the web servers, below the ASP.NET code you find a critical piece. The heart of the matter if you will is the database and if that heart stops... well let’s just say your website will assume room temperature quickly. The question is; what do the guys at Microsoft.com do to insure that the heart of the system is thumpin’ and pumpin’ day in and day out 24x7 while still needing to do updates, patches, server maintenance etc.? Well never fear because we have the answer for you so listen up and learn something!"

The podcast is available in WMA and MP3 formats and runs for 27 minutes and 55 seconds
The video length is 26 minutes and 9 seconds

you can get the podcast and the video here (http://channel9.msdn.com/Showpost.aspx?postid=226519)

Query Multiple Databases

"Query Multiple Databases"
This search term has been used 13 times in the last week on this blog. So here is a little blog post about it
It's really not complicated to query multiple databases. You have to have permissions on both databases
The syntax looks like this:
SELECT *
FROM Database1.ObjectOwner.TableName
JOIN Database2.ObjectOwner.TableName ON.....

So here is a little script so that you can test it out

USE master
GO

--Create the first Database
CREATE DATABASE DBtest1
GO

--Create the second Database
CREATE DATABASE DBtest2
GO



USE DBtest1
GO

--Create Table1 on DBtest1
CREATE TABLE Table1(id INT, DescriptionValue VARCHAR(49))
INSERT Table1 VALUES (1,'DBtest1')
GO


USE DBtest2
GO

--Create Table2 on DBtest2
CREATE TABLE Table2(id INT, DescriptionValue VARCHAR(49))
INSERT Table2 VALUES (1,'DBtest2')
GO



USE master
GO

--Do the join between DBtest1 and DBtest2
SELECT *
FROM DBtest1.dbo.Table1 t1
JOIN DBtest2.dbo.Table2 t2 ON t1.id = t2.id
GO


--Another way
SELECT *
FROM DBtest1..Table1 t1
JOIN DBtest2..Table2 t2 ON t1.id = t2.id
GO



--Drop these databases
DROP DATABASE DBtest1,DBtest2

Analysis Services Stored Procedure Project Released On CodePlex

The Analysis Services Stored Procedure project is a set of sample stored procedures for Analysis Services 2005. These samples have been written in C# and sample MDX queries are included that demonstrate the use of the procedures against the Adventure Works DW sample database. It was developed by a group of community volunteers with 2 main aims in mind:

To provide a set of useful extensions to Analysis Services 2005.
To provide a variety of example source code for people looking to write their own stored procedures.

Visit the CodePlex site to download the source code

Use The Sieve of Eratosthenes To Find All PrimeNumbers Below 1 Million

In mathematics, the Sieve of Eratosthenes is a simple, ancient algorithm for finding all prime numbers up to a specified integer. It was created by Eratosthenes, an ancient Greek mathematician. Wheel factorization is often applied on the list of integers to be checked for primality, before Sieve of Eratosthenes is used, to increase the speed.


Algorithm
Write a list of numbers from 2 to the largest number you want to test for primality. Call this List A. (This is the list of squares on the left-hand-side of the picture.)
Write the number 2, the first prime number, in another list for primes found. Call this List B. (This is the list on the right-hand-side of the picture.)
Strike off 2 and all multiples of 2 from List A.
The first remaining number in the list is a prime number. Write this number into List B.
Strike off this number and all multiples of this number from List A. The crossing-off of multiples can be started at the square of the number, as lower multiples have already been crossed out in previous steps.
Repeat steps 4 through 6 until no more numbers are left in List A.

Read more on Wikipedia


So here is the SQL Version, it runs in 7 seconds on my machine when I run it a
second time, first run is 16 seconds

SET NOCOUNT ON


DECLARE @i INT

-- Create a 10-digit table
DECLARE @D TABLE (N INT)
INSERT INTO @D (N) 
SELECT 0 UNION ALL 
SELECT 1 UNION ALL 
SELECT 2 UNION ALL 
SELECT 3 UNION ALL 
SELECT 4

INSERT INTO @D (N) 
SELECT N+5 FROM @D

-- build a small sieve table between 2 and 1000
DECLARE @T TABLE (N INT)
INSERT INTO @T( N )
SELECT 1+A.N+10*(B.N+10*C.N)
FROM @D A, @D B, @D C

DELETE FROM @T WHERE N = 1

SET @I = 2
WHILE @I <= SQRT(1000)
BEGIN
    DELETE FROM @T WHERE N % @I = 0 AND N > @I
    SET @I = @I + 1
END

-- Create large table between 1001 and 1000000
SELECT A+10*(B+10*(C+10*(D+10*(E+ 10*F)))) AS N
INTO #P
FROM
(    SELECT A.N AS A, B.N AS B, C.N AS C, D.N AS D, E.N AS E, F.N AS F
    FROM @D A, @D B, @D C, @D D, @D E, @D F
    WHERE A.N in (1, 3, 7, 9)  -- Not divisible by 2 or 5
) blah
WHERE (A+B+C+D+E+F) % 3 <> 0 -- Or 3
    AND (A+3*B+2*C-D-3*E-2*F) % 7 <> 0 -- Or 7
    AND (B-A+D-C+F-E) % 11 <> 0 -- Or 11
    AND D|E|F <> 0 -- Don't include the first 1000 numbers, 
--we already have these in the small sieve table
UNION ALL SELECT 1000000

-- sieve the big table with smaller one
SELECT @I = 2 
WHILE @I IS NOT NULL
BEGIN
    DELETE FROM #P WHERE N% @I = 0
    SELECT @I = MIN(N) FROM @T WHERE N > @I
END

-- add primes up to 1000
INSERT INTO #P SELECT N FROM @T

-- Here are the results
--78498 rows
SELECT  * FROM #P ORDER BY 1

drop table #P
go