Ive got an ETL process I have written which takes about 10 million rows from a staging database and loads it into production database with an INSERT statement. The INSERT statement makes a function call to retrieve the surrogate key for each row. The function looks in a replicated copy of our production database so no load is on our production environment during this time.
So: INSERT INTO foo(...) SELECT name, address, zip, dbo.fnGetSurrKey( name, address)
It took about 12hrs to insert 6 million rows last night and Im wondering if there is a better way of doing this. Maybe a multithreaded way like SSIS might have.
Assuming my function is optimized as much as possible, does anyone have any tips for speeding this up?
Also, the machine this ran on has 16gb of RAM but was setup to use only 2GB during this process. I have already changed it to 12gb and restarted the process a week ago, but the change doesnt take affect until you reboot. Would I see a significant performance increase from that?
Is there any particular throughput/network/memory advantages to using Sql Compact files as lookup reference table sources, particular for static or largely static data, and if the SSIS package execution servers are running jobs remotely, aka, not "on the database server"?
I've been experimenting using Sql Compact as a OLEDB lookup source for reference data (business key => surrogate key), for example, using an OLEDB connection manager with the following connection string.
Data Source="C:\ISRoot\Cache\Cache.sdf";Provider=microsoft.sqlserver.mobile.oledb.3.0;
I realise this is a stupid quesiton but i cannot really find any confirmation of this in BOL.
If you are running High Safety with automatic failover, when failover occurs does this automatically change to High Performance mode. SInce for failover to occur something has happen with the primary , it will be impossible to commit transactions on the new primary and mirror asyncronously since 1 of them is no longer available.
So am i correct in assuming that automatic failover also automatically changes the mode to High Performacne for that session?
Hello ,i am a master student and i am making a seminar about high volume DB performance problems ,example : if i have a table with length of 1000000 record and this length is growing exponentially by the time,what the problems may i face in insertion ,deletion , search,in such table?? and what the problems in processing such DB in general
I posted a link to a prior article in here, that one about highperformance hierarchies, and have the first two parts of a new series.Hopefully this is of value to someone.http://www.yafla.com/papers/SQL_Ser..._sql_server.htmThanks.
I am looking to improve the performance of my sql server databases.
I currently have a dual location system, the database server setup is basically a quad xeon with 4gb at my office and a double xeon with 4gb at a remote webhosting location. There are separate application/web/intranet servers at each site. The two databases servers are replicated with the local server publishing to the remote server.
The relational database holds circa 26 million records, growing by a volume of 10,000 per day, there are approximately 50,000 queries performed per day.
My theory is that the replication of the two databases is causing a slowdown; despite fast network connections (averaging 200ms between servers) the replication seems to place a large load on the local server. Would it be sensible to replicate to a second local server and then replicate to the remote server, placing any burden on the second server?
I am planning to upgrade the local server to a high capacity 4+ cpu 64bit server, my problem is that although I have noticed a slow down in performance over time, I am unsure how to go about measuring and quantifying this in order to diagnose the bottlenecks and ensure that investing in a new server would be worthwhile. Where would one be best advised to start this project?
I recently converted a column that was once an int to an bigint on one of my tables. The modified column provided a generic row id information and there are duplicates within this column. I am trying to perform a self join via the following:
SELECT a.row_id FROM test_db a INNER JOIN test_db b ON b.row_id < a.row_id.
This code use to work when the column was an int but now I am getting high CPU issues since I converted to bigint. I am unsure on why the change to bigint will cause such an issue. The OS/SQL is 64BIT.
We recently implemented merge replication.We were expereincing. The replication is between 2 SQL Servers (2005) over same network box, and since we have introduced the replication, the performance has degraded considerably on subscriber end.
1) One thing that should be mention is that its a "unidirectional Direction" flow of changes is from publisher towards subscriber (only one publisher and distributor as well and one subscriber ).
2) Updates are high than inserts and only one article let say "Article1" ave update up to 2000 per day and i am experiecing that dbo.MSmerge_upd_sp_Article1_GUID taking more cpu time.what should be do..
on subscriber database response time is going to slow and i am experiencing a lot of number of LOCK time outs on application end.
can any one can also suggest me server level settings for aviding locking time out.
Is there a way to configure mirroring to go from High Availability to High Protection without having to reconfigure Database Mirroring? Using the interface in Management Studio, I can change the configuration option to High Performance, but not High Protection despite both of them being Synchronous.
If not, what are the recommended steps to configure the mirror once it already has been configured? Is just like initially setting up the mirror or would there be any shortcuts I could take? If I stop the mirroring and remove the witness, will the High Protection option be available?
Hi, My process passing 1,000,000 rows to a data flow with about 20 lookups to get the keys that I wantted . Most lookups have small number of rows except one with over 5,000,000 rows. I cannot get the process to run (the process hanged) probably because of memory issue. Any clue where/how I can tune it. Thanks
I want to do a lookup on date column. My lookup date is of type smalldatetime, and my date is of type datetime (date with time component). My lookup is failing because of incompatible data types.
How do I perform the lookup with date columns having date and time components?
Im having a little diff speeding up the below process
I have two tables table a contains 300,000 rows which are unique however the identifier can appear more than once. The fields im interested in are the identifier and a date/time field.
Table two also contains an identifier and a date field and again can contain multiple instances of the identifier with a variyity of dates.
For each row in table a i want to review the date and look up table b for the first date greater then or equal to the date linking by the identifier.
i have managed to do this via the code below however it takes 45 mins and i want to speed this up.
Select a.*, (select Min(DateB) as DateB From #tableB b where a.identifier = b.identifier and b.DateB >= a.DateA) asDATE From #TableA a
I have a source table with few million rows in it. As a part of transformation, I need around 10 lookups in 10+ different tables, all of them having few million rows each. I am looking for an approach that would be reasonably speedy and easy to manage future changes.
Here are some of the things that I have tried... (1) If I implement as lookup components, they cause developer machine to go really slow and takes forever to run. (2) I tried having OLE DB Source query to fetch required data up front. But the source query becomes very complicated which will be even harder for future changes. And this big query cause SQL Server to become unresponsive. (3) Update queries on target table are also causing server to be unresponsive.
What would you guys suggest for this type of implementation?
I have some SQL experience, but nothing past basic commands. I'm trying to take some data held by an application to use as CSV import into another application.I have two tables from an application, one holds references made in another.The first tables holds details about a person:
field1=name field2=age field3=country
Joe,50,1
Country is held as a number, then there is another table that holds all the countries:
Hi, We use lookups to join a few huge tables in SSIS (each has more than 40 million rows). The process took almost two days to complete when we select partial load on lookups. It stops/locks if we select full load on lookups.
We have a 32bit server so SSIS uses only 2-3GB of available memory no matter how big RAM we have. It seems the best solution for my problem is to move to 64bit server so SSIS uses up to 16GB of Ram.
For now I am researching for a remedy solution to get better performance from our current environment while we are waiting for the big server.
I’d like to hear your thoughts and options that may improve the performance of our package. Dose partitioning help? What else could be helpful?
I have a dimension table for Retail Order Size. Each row in the dimension has a Starting Value and Ending Value column pair. In TSQL, the correct RetailOrderSize key is found by using the BETWEEN statement, like so:
SELECT RetailLevelKEY
FROM dbo.DimRetailOrderSize
WHERE @Sec1Retail BETWEEN StartingValue AND EndingValue
Is there a Data Flow Task Transformation in SSIS that replicates this functionality, or some other way of getting to the same answer in SSIS?
When do a fact table load...I have to perform lookups against the dimension tables. The dimensions tables I have support slow changes, however, and thus have multiple rows for a single legacy key under different effective start and end dates. In order to do this lookup, I have to not just join on the legacy key, but also validate that the date of the transaction I'm loading is between the effective date range of the dimension item.
It seems the Lookup task only supports equijoins. Am I missing something here? How is this accomplished if you can use greater than or equal to and less than type join conditions?
So I have three lookups in a row in my data flow. Basically they are doing data quality checks for me using a reference table.
I want to be able to take the error flows of the three lookups and merge them together (union all) so that I can insert the "errors" (or non matches) into a table.
Can't do it. Because SSIS deems non-matches as "errors" you automatically get the errorCode and errorColumn fields. When you try to union a lookup error output with another lookup's error output, you can't do it.
What I would like to see is a lookup act more like a conditional statment where you have three outputs of a lookup table: match found, no match found, and error. Either that, or I'd like to be able to edit the names of the errorCode and errorColumn fields.
Am I missing something here, or do I need to just add an OLE destination for each lookup error flow when I only want one? 'Course the problem then is that I want to count the number of rows that are in "error" across all of the lookups.
In many of my packages I have to translate an organizational code into a surrogate key. The method for translating is rather convoluted and involves a few lookup tables. (For example, lookup in the OrgKey table. If there is a match, use that key; if not, do a lookup of the first 5 characters in the BUKey table. If there is a match, use that key; if not, do a lookup of the first 2 characters... You get the idea.)
Since many of my packages use this same logic, I would like to consolidate it all into one custom transformation. I assume I can do this with a script transform, but then I'd lose all the caching built into the lookup transforms.
Should I just bite the bullet, and copy and paste the whole Rube Goldberg contraption of cascading lookup transforms into each package? Or is there a better solution I'm overlooking?
In the dataflow of my package, I must check from one table whether a row exists, and if that row exists, I should get some other row from another table, and update that..
I think to check whether a row exists, i should use "Look Up"
But cant we pass parameters to LookUP?
I am trying to use this SQL:
SELECT count(*) FROM ServicePackets where ID = ? and CHANGEDATE > ? and status = 1
I should get if that row exists or not only... (true or false)
OK I have this table I am grbbing from Oracle and I need to take selected columns and do a value lookup against another table: IE Here is a list of fields I get from Oracle:
In this example it is only 2 but in other conversions it could be 20 or more... Now here is my select statement for each Field (The ? being the FIELD from before IE Status or Responsibility):
The is for Status:
Code Snippet SELECT VALUE AS STATUS_VALUE FROM Field_Values WHERE (NAME = 'Project Name') AND (ENUMID = ?) AND (FIELDNAME = 'Status')
This is for Responsibility:
Code SnippetSELECT VALUE AS RESPONSIBILITY_VALUE FROM Field_Values WHERE (NAME = 'Project Name') AND (ENUMID = ?) AND (FIELDNAME = 'Responsibility')
So for this the way I am doing it now is I have 2 "Lookup" Components setup... It works fine... However as I said when I get say 20 or so it gets really tiresome. I was wondering if I could feed it a EXCEL or XML file saying these are the fields that need a value lookup where:
FIELD - Project - FIELDNAME VALUE - OUTPUT VALUE
So with this example I would have a file saying something like this: STATUS - Project Name - Status - STATUS_VALUE RESPONSIBILITY - Project Name - Responsibility - RESPONSIBILITY_VALUE
Then it runs whatever and returns the *_VALUE for each row it goes through... Any suggestions?
Why can you not turn off the caching in a Lookup against Oracle?
I have an exceedingly complicated SQL statement like this -
SELECT OBJECT_ID, OBJECT_CODE FROM OBJECT_TABLE
If I turn off the cache for a lookup I get bombarded with this rubbish-
Error 8 Validation error. DFT Load STATUS: LKP Get RESULT_NO [128]: An OLE DB error has occurred. Error code: 0x80040E14. An OLE DB record is available. Source: "Microsoft OLE DB Provider for Oracle" Hresult: 0x80040E14 Description: "ORA-00933: SQL command not properly ended ". Update.dtsx 0 0
Error 9 Validation error. DFT Load DAY_STATUS: LKP Get RESULT_NO [128]: OLE DB error occurred while loading column metadata. Check SQLCommand and SqlCommandParam properties. Update.dtsx 0 0
I have tried modifying the Cache SQL Statement as well, but to no avail. I am using the MSDAORA.1 provider against "Oracle9i Enterprise Edition Release 9.2.0.7.0 - 64bit Production".
I had used lookup on DIM table to get my SUK and if I use union transformation to get the out put from each lookup and then loading the data with some condition the data in my fact is not loading in a proper format.
The union transformation is splitting the out put in to different records
Please do inform me about which transformation should be used to get the data from lookup tables.
Or please do inform me the approach to load the fact table in SSIS.
I€™m basically INFORMATICA resource and I€™m implementing in terms of INFORMATICA
Hello, I'm trying to clean my data using fuzzy lookup algorithm though SSIS, but i get null values everywhere. This is what i did:
I applied the fuzzy lookup in a table (tblValues). As source table i have the tblValues, and as reference table in Fuzzy Lookup i have the tblValues as well, resulting null values in all fields/columns.
Do i have to create my own reference table? If yes, how do i do that and what values will i have in this table?I didn't understand how the reference table must be in order the algorithm to work. Any suggestions?
Our existing DW's ETL was written in a very complex fashion by the previous team. They use DTS package lookups to read a row in the Source SQL Server database see if that row exists in the taget SQL Server database. If the row does not exist, they use ActiveX scripts to INSERT the row in the target SQL Server database. If it exists, they update the row on the target side. How would you do this in SSIS? Apologize if this sounds like a basic question, however, I would have done this via Stored Procedures or SQL Scripts especially since it involves SQL Servers alone. Appreciate any help.
I notice that SQL Server 2005 creates worktables where SQL 2000 does not. Often these work tables appear in STATISTICS IO, but they show a 0 scan count and 0 logical reads. These worktables often appear to be substituted for bookmark lookups.
Has the optimizer decided to use worktables instead of bookmark lookups (often resulting in a higher cost plan)?
I need to do a 4 column lookup against a large table (1 Million rows) that contains 4 different record types. The first lookup will match on colums A, B, C, and D. If no match is found, I try again with colums A, B, C, and '99' in column D. If no match, try again with column A, B, D, and '99' in Column C. Finally, if no match in any of the above, use column A, '99' in B, '99' in C, '99' in D. I will retreive 2 columns from the lookup table.
My thought is that breaking this sequence out into 4 different tables/ lookups would be most efficient. The other option would be to write a script that handled this logic in a single transform with an in-memory table. My concern is that the size of the table would be too large to load into memory.
All I am in trying to clean and standardize the data during the ETL processes using the €œLookup Data Flow Transformation€? in SSIS€¦ I am able to clean data by replacing the values in columns with values from a reference table, using an exact lookup to locate values in a reference table. What I would like to do is €œif there is NO exact match€? replace it by e.g. zero or some other value which means €œno reference data available€?, how do I do this? Any help is much appreciated. Thanks, Manojkumar
