Help Loading XML Data

May 1, 2008



I am trying to enhance an existing package that actually does the xml to table load, this packge is using a script component to parse and load the xml file into multiple tables (3 tables) using VB.net code, I want to add a component to it where if there are any xml rows that are erroring out , they get redirected to a different table, this log table is having only one column and the xml records are supposed to be loaded into this column in XML format. this is the existing design and I have to live with it and at the same time I am not a big .net coder, any help is appreciated.

Thanks

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Integration Services :: SSIS VB Script Loading Data Into Oracle DB Missing Some Data

Nov 10, 2015

I'm using Script Component to load data into Oracle DB due to the poor performance issue. Now, I found it will missing some data during the transmission. Please see the screenshot below: 

SQL Server:
Oracle:
DDL:

create table Person
(
BusinessEntityID Integer,
FirstName nvarchar2(50),
MiddleName nvarchar2(50),
LastName nvarchar2(50)
);

Result:

I follow up this article: [URL] ....

VB Script: 
Imports System
Imports System.Data
Imports System.Math
Imports Microsoft.SqlServer.Dts.Pipeline.Wrapper
Imports Microsoft.SqlServer.Dts.Runtime.Wrapper

[Code] ..........

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Master Data Services :: Error Code 8 While Loading Data From MDS Stage To Model

Apr 22, 2015

I am getting ErrorCode 8 while loading the data from stage to model. I have checked my error view it states that "Member Code is Inactive".

Initially I have loaded same set of data in Model from MDS Stage table but then deleted with ImportType = 5 which removed all the data from the MDM model.

Now i want to load it back but its giving the Error Code 8 ..  Before loading the same data i have changed the stage table Importtype to 2 and Importstatusid to 0.

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Do We Have To Alawys Use Slowly Changing Dimensions (SCD) Component In The Data Flow For The Loading Of Table Data?

Feb 28, 2008

Hi, all experts here,
Do we always have to use SCD component for the loading of data into data warehouse to handle changes of rows?
I am looking forward to hearing from you and thank you very much in advance for your help.
With best regards,

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Problem Loading Data From FlatFile Source Data For Column Overflowed The Disk I/O Buffer

Sep 10, 2007



Hi i am trying to do a straight forward load from a Flatfile source , i have defined the columns according to the lenghts defined in the Data Dictionary Provided but when i am trying to run the Task i am encounterring this error

The column data for column "Column 20" overflowed the disk I/O buffer.

I tried to add another column 21 at the end and truncate or leave that column unmapped to destination but the same problem occurs for column 21 what should i do to over come this .

In case of Bad Data how to clean up the source.. Please help me with this








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Loading Data Froma A Text File To SQL Data Base

Sep 10, 2007

Hello!! searching information about how to migrate some date from an old data base (any tipe) from SQL I´v found this:
LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name.txt'
[REPLACE | IGNORE]
INTO TABLE tbl_name
[FIELDS
[TERMINATED BY 'string']
[[OPTIONALLY] ENCLOSED BY 'char']
[ESCAPED BY 'char' ]
]
[LINES
[STARTING BY 'string']
[TERMINATED BY 'string']
]
[IGNORE number LINES]
[(col_name_or_user_var,...)]
[SET col_name = expr,...)]
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How do u achieve this -- While SSIS Data Load Execution itself?

Update Col B with Col A value if Col B is NULL in the Data File?

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Data Missing When Loading Data Into Sql Server 2005

Jan 17, 2008



Hi, Experts

The project is a C/S data analysis system built with .Net 2.0 in windows environment, OS: Microsoft Windows 2003 R2 standard Edition Service Pack2, Database used in this project is: Sql server 2005. As a data analysis system, we need to load large amount of data from file to database, we do it by create a dts package and then do data loading by execute "m_Package.Execute(null, variables, m_PackageEvents, null, null)".

The problem is, we fount that DTS miss some data randomly sometimes, we can't find the rule till now. for example we've data as follows in data file, all data field splited by '|'
11234|26341|2007-09-03 00:00|0|0|0.0|0|0.011470833793282509|1|0.045497223734855652|0|0|1|0|3|2929|13130|43|0|2|0|0|40|1|0|0|0|0|0|1||0|0|3|0|0|0|0|0||0|3|0|0|43|43|0|41270|0|3|0|0|10|3|0|0|0|0|0||0|1912|0|0|3|0|0|0|0|0|0|0|3|0|0|5|0|40|0|9|0|0|0|0|0|0|0|0|29|1|1|24|24.0|16|16.0|0|0|0.0|0|0|24|23.980693817138672|0|0.0|0|0.0|0|0.0|0|0.0|11|2.0764460563659668|43|2|0|0|30|11|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|3|3|0|0|0|0|0|0|0|0|0|6|0|0|0|0|0|6|0|0|45|1|0|0|0|2|42|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2|0|0|0|2|0|0|0|0|0|0|51|47|85|0|0|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|||||||||||||0|0|0|0|0|97.117401123046875|0|0|83|57|||0.011738888919353485|0|1|0.065955556929111481|0|4|||0.00026658669230528176|1|0.00014440112863667309|1|68|53|12|2|1|2.0562667846679688|10|94|2|0|0|30|11|47|4|13902|7024|6878|18|85|4.9072666168212891|5|0.0|0|0.0|0|0.0|0|0.0|0|358|6448|6324|0|0|0|0||0||462|967|0|41|39|2|0|0|0|1|0|0|0|0|0|0|0|0|3|0|0|3|0|0|0|0|0|0|0|0|0|3|0|3|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|46|0|1|0|1|37|0|0|46|0|1|0|1|37|0|0|0|0|0|0|0|0|0.0|0|0|6|4|2|0|0|2|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|1|0.012290795333683491|0|44|44.0|0|0.0|0|0|0|30|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2|0|2|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|27|0|0|2112|411|411|45|437|2|0|2|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|4|0|4|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|6|6|0|3|2|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|5|5.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|600|600|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|6|0|0|0|0|0|0|6|0|9|1|2|2|3|0|1|0|0|0|0|0|0|0|0|0|0|0|13|3|2|5|1|1|1|0|0|0|102|0|1|1|0|0|0|3|3|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0||0|0|0|0|0|0|0|0|0||||||||||0|0|0|0|0|0|0||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|46.0|46|0.0|0|0.0|0|0.011469460092484951|1|0.0|0|0.0|0|3|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|0.0|0|0|0|0|0|0|0|0|0|0|0|0|0|||0|100.0|100.0|0|1|0|1|0|0|0.02481505274772644|1|0.014951236546039581|1|0|0|0|0|0|0|0|0|0|0|0|0|0|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|||0|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|4695.5556640625|42260|7126.66650390625|62040|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||||||0|0||||||||||

11213|26341|2007-09-03 00:00|0|0|0.0|0|0.068584725260734558|2|0.14375555515289307|27|0|2|1|11|3966|13162|97|0|13|0|0|83|3|2|3|0|0|0|26||0|0|11|0|0|0|1|0||0|1|0|3|97|98|0|246795|0|11|1|0|3|14|0|0|0|0|0||0|1912|0|0|12|0|0|0|0|0|0|0|12|0|0|17|0|83|2|2|2|0|0|0|0|0|0|0|73|3|1|24|24.0|16|16.0|0|0|0.0|3|0|24|23.905364990234375|2|0.0040000001899898052|0|0.0|0|0.0|0|0.0|11|2.0772171020507812|97|7|0|0|80|10|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|12|12|0|0|0|0|0|0|0|0|0|41|0|0|0|0|0|41|0|0|99|25|0|0|0|0|74|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2|0|0|0|0|0|0|0|0|0|0|177|158|332|0|0|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|3|||||||||||||0|0|0|0|0|0.0|0|0|321|198|||0.041950233280658722|0|2|0.1999288946390152|0|5|||0.00088306842371821404|1|0.00051651173271238804|1|529|113|4|8|2|2.0671226978302002|10|274|7|0|0|80|10|66|17|13934|7024|6910|31|332|4.7173333168029785|5|0.000033333333703922108|1|0.000033333333703922108|1|0.000033333333703922108|1|0.0|0|358|6448|6356|0|0|0|0||0||1609|3423|0|83|78|5|0|0|26|0|0|0|0|0|0|0|0|0|2|0|1|1|0|0|0|0|3|0|0|0|0|2|0|2|0|0|0|0|0|0|0|0|0|0|2|0|0|0|0|0|0.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|65|0|1|0|1|72|0|0|65|0|1|0|1|72|0|0|0|0|0|0|0|0|0.0|0|0|12|7|0|2|3|16|5|5|6|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|2|0.04131799191236496|0|48|48.0|5|5.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|1|0|0|0|0|0|0|9|0|5|1|0|0|0|1|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|4|2|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|3|0|0|0|0|3|0|0|0|0|0|0|0|0|121|0|1410|6046|558|1400|192|2467|10|0|5|1|0|0|0|2|0|0|0|1|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|15|0|10|0|0|0|0|3|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|21|9|12|10|3|1|0|1|4|0|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|163|4|144|91|92|2|92|0|0|0|0|0|101|92|0|0|0|0|101|0|0|0|0|600|596|1|0|0|3|0|0|0|0|0|0|0|0|0|0|0|9|0|0|1|0|0|0|8|0|34|3|4|14|7|2|3|0|1|0|0|0|0|0|0|0|0|0|41|6|4|23|5|2|1|0|0|0|289|0|7|7|0|0|0|11|11|0|0|4|4|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0||0|0|4|0|0|0|0|0|4||||||||||3|0|0|0|0|0|3||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|55.814689636230469|47.931411743164062|48|0.0|0|0.0|0|0.068584725260734558|2|0.0|0|0.0|0|14|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|0.0|0|0|0|0|1|0|0|1|0|0|0|0|0|||0|100.0|100.0|0|26|26|0|0|0|0.088263392448425293|2|0.056161552667617798|2|0|0|0|0|0|0|0|0|0|5|22|0|0|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|||0|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|16308.888671875|146780|23162.22265625|184840|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||||||0|0||||||||||

11220|26341|2007-09-03 00:00|0|0|0.0|0|0.309184730052948|2|0.17757916450500488|0|0|7|4|18|3925|13682|172|0|19|0|0|164|10|5|4|0|0|0|2||0|0|20|0|0|1|4|0||0|5|0|4|172|172|0|1165085|0|20|4|0|20|8|0|0|0|0|0||0|1912|0|0|24|0|0|1|0|0|0|0|23|0|0|30|0|164|4|6|8|0|0|0|0|0|0|0|121|10|15|24|24.0|16|16.0|0|0|0.0|4|0|24|23.646148681640625|1|0.0040013887919485569|0|0.0|0|0.0|0|0.0|11|2.0849723815917969|172|5|0|0|123|44|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|26|24|0|0|0|2|0|0|0|0|0|192|1|0|0|0|0|191|0|0|190|12|0|0|0|0|178|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|3|0|0|0|0|0|1|0|0|0|0|1008|953|2758|0|5|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|4|||||||||||||0|0|0|0|0|84.418106079101562|0|0|2626|1420|||0.29022222757339478|0|5|1.5045944452285767|0|5|||0.0058597764000296593|2|0.0046600494533777237|2|1340|1114|80|119|27|2.2584490776062012|10|1180|5|0|0|123|44|953|55|14462|7024|7438|52|2758|3.0037333965301514|5|0.021266667172312737|1|0.00036666667438112199|1|0.0|0|0.0|0|362|6440|6880|0|0|0|0||0||13711|27667|0|159|149|10|0|0|1|1|0|0|0|0|0|0|0|0|7|0|0|7|0|0|0|0|4|0|0|0|0|7|0|7|0|0|0|0|0|0|0|0|0|2|3|0|0|0|0|0|0.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|842|0|111|0|102|1702|0|1|842|0|111|0|0|1703|0|0|0|0|0|0|0|0|0.0|0|0|47|26|11|3|7|37|1|20|16|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|4|0.24921548366546631|0|44|44.0|0|0.0|0|0|0|1003|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|10|0|8|2|0|0|0|0|0|0|0|0|0|0|81|1|60|10|10|0|0|0|0|0|0|0|0|0|1|1|0|0|0|0|0|0|0|25|16|4|2|3|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|53|27|17|4|5|0|0|0|0|0|0|0|0|0|421|0|8685|67179|2138|12104|80|26285|104|1|73|16|14|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|87|1|77|7|2|0|0|0|0|0|0|0|0|0|1|0|0|1|0|0|0|0|0|0|0|0|0|0|16|0|9|5|2|0|0|0|0|0|0|0|0|0|155|155|0|105|51|32|9|13|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|1|0|0|0|0|0|0|0|0|0|0|0|5|5.0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|102|0|0|0|0|0|600|445|4|20|32|63|16|15|4|1|0|0|0|0|0|0|0|37|0|0|5|0|0|0|32|0|230|7|10|99|68|22|21|0|3|0|0|0|0|0|0|0|0|0|286|18|10|182|53|17|6|0|0|0|2528|0|10|10|0|0|0|22|22|0|0|25|25|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||0|0|0|0|0|0|0|0|0|0|0||0|0|30|0|0|0|0|0|30||||||||||23|0|0|0|0|0|23||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|0|0|0.0|45.998283386230469|46|0.0|0|0.0|0|0.30917638540267944|2|0.0|0|0.0|0|8|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0.0|0|0.0|0|0|0|0|1|1|0|0|0|0|0|0|0|||0|100.0|100.0|0|2|1|0|0|1|0.73375397920608521|5|0.41600942611694336|6|0|0|0|0|0|0|0|0|0|0|0|0|0|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|||0|||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|98115.5546875|865520|176626.671875|1159360|||||||||||||||||||||||||||||||||||||||||||||||||||||||0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0||||||||||0|0||||||||||

We found that some of the data field become 'null' after the load action finished, if we load the same data again, problem disappeared, we can't 100% reproduce this issue each time, we don't know why, Anybody here can help us to solve this issue or give us some clue?


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b

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case 2

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in case 1 :

is it single transaction ?

is possible to set "Maxinsertcommitsize" or other property and commit every N rows ?

case 2:

if I remember microsoft ole db driver for db2 (used in host integration server) forced commit every row. (I might be wrong)

again , any property could be set to commit every N rows ?

Thanks

Alex



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I am wondering what my best strategy is, apart from putting Ged.Parse into a background task and just letting it trickle away.  (I will probably do this anyway). What I'd like to be able to do is to have Ged.Parse load records without creating the secondary indexes, and then create the indexes for the newly-added records as a penultimate step just before it makes them available for general use.  Of course there is no way that you can do this:  records in a table are either indexed or they are not.
Proposed change:  recode Ged.Parse to load data into temporary tables, say NewPeople, NewFacts, etc., with these tables having only the indexes required by Ged.Parse. Then, as the last process in Ged.Parse run a SQL procedure with code like: -            Insert into People Select * From NewPeople            Delete from NewPeople            etc
This is a reasonable amount of programming, so before I make this change could somebody tell me:  will this be significantly faster overall, or is this likely to make little or no improvement compared to the present process in which Ged.Parse loads data directly into People, Facts, etc?   Two facts that may influence the answer.  First, all record relationships are through GUIDs, so records in NewPeople, NewFacts, etc would already have their final key values.  Second: although Ged.Parse needs to form relationships between records, these relationships are only within the new records (created from the same GEDCOM), and Ged.Parse does not need to relate any of these new records to earlier records.
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Robert Barnes.
 

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Greetings,

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GO
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several more rows after this

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-B

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Hi the scenario is,

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Executed as user: GOOFYSYSTEM. ...e Package Utility Version 9.00.1399.06 for 32-bit Copyright (C) Microsoft Corp 1984-2005. All rights reserved. Started: 7:45:29 PM Progress: 2007-10-25 19:45:29.44 Source: Data Flow Task 1 Validating: 0% complete End Progress Progress: 2007-10-25 19:45:29.44 Source: Data Flow Task 1 Validating: 33% complete End Progress Progress: 2007-10-25 19:45:29.60 Source: Data Flow Task 1 Validating: 66% complete End Progress Error: 2007-10-25 19:45:29.68 Code: 0xC0202009 Source: importdata Connection manager "SponsorshipData 1" Description: An OLE DB error has occurred. Error code: 0x80004005. An OLE DB record is available. Source: "Microsoft JET Database Engine" Hresult: 0x80004005 Description: "The Microsoft Jet database engine cannot open the file '\dumpyd$CompanyCCNASponsorshipData.mdb'. It is already opened exclusively by another user, or you need permission to view its data.". End Error Error: 20. The step failed.

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Id int identity(1,1)
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,Level1_Name varchar(20)
,Level2_Name varchar(20)

[Code] ....

Here category 1 has 3 levels ,

category 2 has 4 levels ,
category 3 has 5 levels ,

Below is the target table, here Leaf_Node_code should populate to only for leaf nodes for each category .. Need to populate Node_id with hierarchical data

I am unable frame a sql query to handle different levels , in future #Source may have more levels .

How to handle multiple hierarchy levels .. here only leaf node should have Leaf_Node_code

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Here is the expected output:

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11NULLNULLWorld
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42NULLNULLa
524NULLaa
625NULLaaa
726102aaaa
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Aug 13, 2007

Please find the code below (which I am using).
1)
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2)
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Regards,
Ashish Johri

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SET QUOTED_IDENTIFIER ON
GO
SET ANSI_NULLS ON
GO


alter Procedure dbo.sp_cmdshell_test
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AS

DECLARE @DataUpdates nvarchar(255)
DECLARE @Common nvarchar(255)
DECLARE @UServer nvarchar(255)
DECLARE @FullFileName nvarchar(68)
DECLARE @FileName nvarchar(64)
DECLARE @FileExt nvarchar(3)
DECLARE @SQL varchar(3500)
DECLARE @triFileName nvarchar(255)
Declare @DataArchive nvarchar(255)

Declare @Ip_FileName nvarchar(255)
Declare @Ip_Active char(1)




Set @UServer = '\AO3D$'

select @Common = sd_value from Msystem.dbo.Msysdata WHERE SD_Property = 'CommonDir'
select @DataUpdates = sd_value from Msystem.dbo.Msysdata WHERE SD_Property = 'DataUpdate'



Declare ActiveFile Cursor For
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Open ActiveFile
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While @@Fetch_Status = 0
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Set @sql = 'master..xp_cmdshell ''' + @UServer + @Common + 'scriptsodbcbcp -D CCBM_TEST -i ' + @UServer + @DataUpdates + '' + @ClientAbbrev + '' + @FullFileName + ' -Q tri_' + @Ip_FileName +''''

Print(@sql)
Exec(@SQL)

Fetch Next From ActiveFile
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End

CLOSE ActiveFile
DEALLOCATE ActiveFile

return


GO
SET QUOTED_IDENTIFIER OFF
GO
SET ANSI_NULLS ON
GO

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In MySQL, I use "LOAD DATA INFILE 'my_path/data_file.txt'" to load datafrom a plain text file. Of course, the actual statement is a bit morecomplex once one considers the various options (e.g. comma delimited vstab delimited, record termination strings, &c.).My problem is that I have yet to find the equivalent within MS SQLserver. I did find a LOAD statement in T-SQL, but at first glance itseems to do something completely different.How does one normally load data from a plain text file into a table inMS SQL? This needs to be relatively efficient since, once inproduction, it will be used to load tens of megabytes of data into thedatabase (a feed from a data provider). Is it flexible enough to allowme to specify whether the fields are tab delimited vs comma delimited,optionally enclosed by quotes, record termination charactors, &c.?All I really need is direction to the right part of the T-SQL reference(MS SQL Server 2005). Anything else, such as examples, is icing on thecake.ThanksTed

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May 31, 2007

Hi Good morning to all,



My day started with loading huge volume of data and my data flow task failed to do so.



My data flow has a flat file connected to a OLEDB target. This is a one to one mapping. My source file contains 50 lac records and it is of 500 MB in size.



I'm processing the data with all the default buffer settings. I have 4 CPUs in my server.



the system process DTSDebug.exe is utilizing more than 2GB page size. My average CPU usage being 70% when one of those CPU s is hitting 100% utilization.



I'm very new to SSIS. So, please provide me some info how do i set my buffers and do we have any PDF for performance and tuning in SSIS ?



Do we have any bulk load transformation in SSIS to load into DB2UDB ?



If so how do i get it installed?





Thanks in advance,

Suresh N

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