I am trying to build a SQL select query, but am struggling a little bit.I have a table with multiple inventory transactions, each with an ID and weight.
What I want to do is write a SQL query that returns records where there is a transaction for SysProg = 238, but return the weights for some of the other transactions in columns on the same row.Basically, from the above data set, what I would like to return is:
ID Weight (271) Weight (238) Weight (61 or 59) 210359 986 985 984 354852 568 523 521
I want to create a stored procedure that will merge columns from tworows that contain duplicated contacts.I have can easily identify the duplicates and extract the UniqueIDs asparameters, but I can't figure out how to construct the actual updateSQL.@KeeperID int,@DupeID intUpdate ContactsSETa.Info1 = LEFT(TRIM(IsNull(a.info1,'') + ' ' IsNull(b.Info1,''))255),a.Info2 = LEFT(TRIM(IsNull(a.info2,'') + ' ' IsNull(b.Info2,'')),255),etc, etc...FROM(here's what I can't figure out)Contacts a ID = @KeeperIDContacts b ID = @DupeID
I am writing a database system which recieves information parsed from various data formats. These data formats may or may not be complete, and as such some rows in the database can have gaps. The input formats may contain reference to the same row (in this case the same Company record) but hold different facts about that company. Eg one message may have name, phone and fax, whereas another message may contain name, address and website. I need to be able to insert new companies into the database OR update current records with extended data as relevant, ive been looking for UPSERT or MERGE queries in SQL Server but i cant find any useful resources explaining its use. Alternativly i'd like to be able to condense potential duplicates into single rows, eg: NamePhoneEmailnullNamePhonenullWebsite which would combine into one row where the null values get set by values derived from other similar rows: Name PhoneEmailWebsite
Any help at all would be really appreciated Thanks, Toby
Hi all! Hope you can help us with this one. We installed SP 2 of Sql server 2005 few months ago, and that caused a strange problem with merge replication.
We have about 150 subscribers in one merge publisher, and 200.000 new rows generated each day (retail system). Most tables are filtered.
Replication and filtering works fine, except 0,1% --> 0,2% of rows are not replicated correctly. These "problem-rows" are always replicated correctly to the publisher database, but publisher can't always replicate these rows further to other subscribers. Before SP2 everything worked fine.
Same problem occurs with filtered and non-filtered tables.
SQL Server shows no errors or warnings, everything SEEMS to work fine.
We have to make "dummy"-updates (like update SALES set id=id) in publisher database, to wake up the replicator. And always after these dummy updates all problem-rows will be replicated correctly from the publisher to subscribers.
Why do we have to "wake up" the replicator time to time with dummy updates? Is there a bug in SP2?
I have a problem with a Merge Join providing no output (when it should have 1890 rows). My Data Flow Task has 4 OLE Data Sources, 3 Multicasts, and 1 OLE Data Destination. I am experiencing the problem near the end of my data flow where two Multicasts create two parallel flows of data (see Level 1 below). I have two Merge Joins which join one leg from each multicast with a leg from the other multicast (see Level 2 below). Then the two remaining legs use a Merge to get my destination output (see Level 3 below).
I am experiencing my problem with the Merge Join (input A2, B2) --> (output C2) transformation. The Merge Join providing output C1 appropriately outputs 1890 rows, but C2 outputs 0 rows. Both Merge Joins are identical. The data is identically sorted prior to entering the problematic Merge Join and a DataViewer (Grid) verified that the data is appropriately entering in. Merge Join (input A2, B2) --> (output C2) has 667 rows as input A2 and 1890 rows as input B2 (using an inner join, just like the other merge join), but C2 baffles me with 0 rows of output (when it too should have 1890). I receive no Ouput errors and the execution completes showing all green.
I read about mysterious behavior with Merge Joins and have attempted modifying my EngineThreads property to values between 2 and 10, with no luck. Any help/ideas would be appreciated.
I have two tables of news feed NewsHeader & NewsDetails NewsHeader: Time Header 10:15:34 AM News1 10:15:34 AM News1 10:15:34 AM News1 11:19:39 AM News2 11:19:39 AM News2 12:35:04 PM News3 12:35:04 PM News3
NewsDetails Time Text RowC 10:15:34 AM ABC 1 10:15:34 AM DEFG 2 10:15:34 AM HIJKL 3 11:19:39 AM AABB 1 11:19:39 AM CCDD 2 12:35:04 PM ZZYY 1 12:35:04 PM XXWW 2
Required Output Time Header Text 10:15:34 AM News1 ABCDEFGHIJKL 11:19:39 AM News2 AABBCCDD 12:35:04 PM News3 ZZYYXXWW
Basically if the type code is 1 one then move the data to column phone1, if the type is 2 then move it to column phone2.
This would be fairly simple if we always have type codes 1 and 2. But sometimes we can have type 1 and not type 2, or we could have type 2 and not type1.
Right now we only have 2 type codes. But, in the future we could be adding a 3rd type. So that would add a 3rd column (phone3).
Below is my code that I have written. I move the data into a temp table then list it. I am thinking of making this a view to my table. It works just fine. My question is, is there a better and more efficient way of doing this?
CREATE TABLE #Contacts ( id INT PRIMARY KEY, phone1 VARCHAR(15), phone2 VARCHAR(15) )
-- Insert the records for type 1
INSERT INTO #Contacts SELECT id, phone_num, NULL FROM test1 WHERE type_code = '1'
-- Insert the records for type 2, if the id does not exist for type 1
INSERT INTO #Contacts SELECT id, NULL, phone_num FROM test1 WHERE NOT EXISTS ( SELECT 1 FROM #Contacts WHERE #Contacts.id = test1.id ) AND test1.type_code = '2'
-- if the id has both type 1 and 2, update the phone2 column with the data from type 2
UPDATE #Contacts SET phone2 = test1.phone_num FROM #contacts JOIN test1 ON test1.id = #Contacts.id WHERE type_code = '2' SELECT id, phone1, phone2 FROM #Contacts DROP TABLE #Contacts
I've a requirement where I need to merge multiple rows in single rows. For example in the attached image output, I need to return a single column for type Case like this.
CH0, CH1, CH2, CHX Case CM0, CM1, CM2, CMX Mechanical
I'm using T-SQL to generate the column type. Below is my DDL.
USE tempdb GO CREATE TABLE ProdCodes (Prefix char(8), Code char(5)
I am running a simple merge replication in SQL Server 2000. I have one database that is the publisher, and a second database that is the subscriber. When I add a new row to the subscriber it will replicate to the publisher as expected. However, the new row at the subscriber will then be deleted without explanation. The row will remain at the publisher though.
We are running merge replication, SQL Server 2005 Enterprise with SQL Mobile 2005 (Windows Mobile 5) subscribers. Partitions are filtered on HOST_ID.
Ocassionally we experience a situation where a subscriber experiences an unusually long synchronization duration, and upon examining Replication Monitor, it appears that twice the number of rows, or X the number of rows (up to 7 times the number of rows) that should have been inserted are recorded as synchronized for the session: once the normal amount as inserts and once the normal amount as updates. This occurs for all tables in the subscription. This occurs on a first time synchronization to an empty subscriber database where there should be only inserts taking place.
I have examined the snapshot partition folders for these users on the file system and they appear to be identical in size and content as other subscribers. Checking the last partition snapshot job run and other characteristics for the the subscriber in question, everything appears to be the same as other subscribers functioning normally.
The HOST_ID for us is an employee ID used to filter employee specific data. I have seen this happen if the subscriber changes the value for the HOST_ID used in filtering, after the mobile database has already been populated (2 employees attempt to use the same mobile device and database). But, we have seen this happen recently where the HOST_ID was apparantly never changed midstream.
This just started happening recently. The only modification around the same time frame was the implementation of a custom business logic handler/custom conflict resolver that performs like "Latest Wins" but has logic added to update the a last-update datetime column for selected transaction tables at time of synchronization, so that an SSIS job can detect the changed rows for copying incremental database changes to another application database. This all seems to be working perfectly.
I've a requirement where I need to merge multiple rows in single rows. For example in the attached image output, I need to return a single column for type Case like this.
CH0, CH1, CH2, CHX Case CM0, CM1, CM2, CMX Mechanical
I'm using T-SQL to generate the column type. Below is my DDL.
USE tempdb GO CREATE TABLE ProdCodes (Prefix char(8), Code char(5)
How to summarise the data in this table to a single row output per site (2 records for every SiteID). I am based in the UK so the data copied from SQL is in the US format. I can convert this to UK date without any issues.
CREATE TABLE [dbo].[MRMReadings]( [SiteIncomeID] [int] IDENTITY(1,1) NOT NULL, [SiteID] [nchar](5) NOT NULL,
[Code] ....
Is it possible to return the data in the following format merging 2 lines of data into one output:
I want to insert the above temp table to another table with column names defined below like this
Empname, Vacation Hours, Sicks Hours EmpA, 12, 10
Basically if it is X it is vacation hours and if it is Y it is sick Hours. Needs a simple logic to place the apprpriate hours(Balance) to its respective columns. I'm not sure how I can achieve this in using Pivot or Conditions.
I have either 2 or 1 row for each customer number I want to write a SQL to pull data into 1 table based on same CustomerNumber, if only one row is present for the particular customer number it should pull null in FName2,LName2,DOB2 columns.
example: CustNumber Fanme Lname DOB 1 Sam tiller 08/26/1981 1 Joe timy 01/02/1986 2 jack niks 09/09/1990
Result I want: CustNumber Fname1 Lname1 DOB1 Fname2 Lname2 DOB2 1 Sam Tiller 08/26/1981 Joe timy 01/02/1986 2 Jack niks 09/09/1990 null null null
I need to transform Foxpro table to SQL Server table with merging all rows into one where all column values are the same except one . For this the only column with the different values , I want them also to be merged as coma or space delimited string. The question whether SSIS is a good candidate for this kind of data munging and also would be interested to know knowing as many as possible ways of doing that. Surely I may produce Foxpro script in 5 minutes which wil do that and be a pre-processor action before SSIS starts.
We are using a mix of SQL 2005 and 2000 servers and our "main" database server is running SQL 2005 x64 (SP2 ver. 3042).
Our system has run perfectly for months, then subsequent to an SP2 update we are seeing several instances where the data record counts are different for several tables among all the servers.
We are using Merge Replication, with no filters and published every 2 minutes.
I have resulting rows from a query similar to the following:
The data is coming from a single table that contains only one coverage code column and one coverage code date, but the end user wants the two coverage code types and dates combined into a single row. So the SELECT looks something like this:
SELECT [Employee ID] = emp.employee_id, [Coverage Code 1] = enr.coverage_code, [Coverage Date 1] = enr.coverage_date, [Coverage Code 2] = case when enr.product_type = 'Accident.Accident' then enr.coverage_code else NULL end,
[Code] ....
I basically want to merge the like Employee ID's together into a single row like the following:
I know I have done this before and it is probably pretty simple.
I have noticed that four out of the 145 tables being replicated in my topology perform a mysterious update.
If I insert data at the subscriber then synchronise the upload is completed followed by immediate downloading of the same identical set of rows as updates.
Has anyone seen anything like this. I cannot see any difference in the filter joins or article settings compared to any other table in the system but these four consistently do this.
Publisher/Distributor: SQL 2005 SP1 on Win 2003 Server Subscriber: SQL Express 2005 SP1 on Win XP SP2
I created a package that seems to work fine with a small amount of data. When I run the package however with more data (as in production) the merge join output is limites to 9963 rows, no matter if I change the number of input rows.
Situation as follows.
The package has 2 OLE DB Sources, in which SQL-statements have been defined in order to retrieve the data.
The flow of source 1 is: retrieving source data -> trimming (non-key) columns -> sorting on the key-columns.
The flow of source 2 is: retrieving source data -> deriving 2 new columns -> aggregating the data to the level of source 1 -> sorting on the key columns.
Then both flows are merged and other steps are performed.
If I test with just a couple of rows it works fine. But when I change the where-clause in the data source retrieval, so that the number of rows is for instance 15000 or 150000 the number of rows after the merge join is 9963.
When I run the package in debug-mode the step is colored green, nevertheless an error is displayed:
Error: 0xC0047022 at Data Flow Task, DTS.Pipeline: SSIS Error Code DTS_E_PROCESSINPUTFAILED. The ProcessInput method on component "Merge Join" (4703) failed with error code 0xC0047020. The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running. There may be error messages posted before this with more information about the failure.
To be honest, a few more errormessages appear, but they don't seem related to this issue. The package stops running after some 6000 rows have been written to the destination.
declare tableName table ( uniqueid int identity(1,1), id int, starttime datetime2(0), endtime datetime2(0), parameter int )
A stored procedure has new set of values for a given id. Sometimes the startime and endtime are the same, in which case I update the value of parameter. Sometimes I add a new time range (insert statement), and sometimes I delete a time range (delete statement).
I had a question on merge, with insert, delete and update and I got that resolved. However I have a different question regarding performance of the merge statement.
If my target table has hundreds of millions of records and I want to delete/update/insert a handful of records, will SQL server scan the entire target table? I can't have:
merge ( select * from tableName where id = 10 ) as target using ...
and I can't have:
merge tableName as target using [my query] as source on source.id = target.id and source.starttime = target.startime and source.endtime = target.endtime where target.id = 10 ...
This means I cannot filter the set of rows in the target table to a handful of records where id = 10.
