Integration Services :: SSIS Conditional Split Transformation Data Types Are Incompatible
Aug 24, 2015
I am importing the values for field Atype from a .csv file as DT_STR, 13 and I need to fit them into a bit type CType field.
When I write the conditional split ((ISNULL(Atype)?"a":Atype)!=(ISNULL(CType)?"9":CType)) it says that the DT_WSTR and DT_I4 types are incompatible and that I need to explicitly cast with a cast operator. I haven't been able to make it work, how to explicitly cast?
Im reading in a CSV wiht double quote text delimiters. Data came from mySQL.
One column in mySql is text(65535) which is equivalent to varchar(max) as far as i understand.
This particular column can be blank, not null, just blank. If its blank i want to put in a value so i added a Derived column shape and added the following formula:
LEN(my_Column) < 1 ? "" : (DT_TEXT)my_Column
I get the below error from this expression:
The data types "DT_WSTR" and "DT_TEXT" are incompatible for the conditional operator. The operand types cannot be implicitly cast into compatible types for the conditional operation. To perform this operation, one or both operands need to be explicitly cast with a cast operator.
I have tried this without casting but still get an error. As I have configured the column in the flatfile connector as DT_TEXT, im not sure where its getting DT_STR from.
We are building a dataload application where parameters are store in a table. And there are multiple packages for each load.There is a column IsChecked column if it is 1 then only the child package should execute.Created a master package. In which i have taken execute SQL task in that storing a results in variable and based on the result the child package should execute. But In executesql task i selected result set as full result set. I am getting the below error.
[Execute SQL Task] Error: Executing the query "SELECT isnull(ID ,0) AS ID FROM DataLoadParameter..." failed with the following error: "The type of the value (DBNull) being assigned to variable "User::LoadValue" differs from the current variable type (Int32). Variables may not change type during execution. Variable types are strict, except for variables of type Object.". Possible failure reasons: Problems with the query, "ResultSet" property not set correctly, parameters not set correctly, or connection not established correctly.
I'm encountering a very peculiar situation when I'm trying to compare source and target data using conditional split. Following is the Data Flow and how I'm trying to achieve this.
Source Data : Col_A (PK) Col_2 1 100 8 500 Target Data : Col_A (PK) Col_2 1 100 3 700 8 500 Look-up Target on Col_A to check for existing records. Now we have four columns in Look-up match output: Col_A, Col_B, Lkp_Col_A (Target Col), Lkp_Col_B (Target Col).
Conditional Split: Compare Col_B with Lkp_Col_B
Update target if there is any change in the existing value of Col_B.When I'm running the package for every record in source, the conditional split fails and even when there is no change in Col_B, some of the records (Not all and quite randomly) get updated with the same value. If I run the package for few records, it works absolutely fine.
I'm trying to write a conditional split where I want to bring in only records where the date is less than today, but my problem is that I can't simply do this Column < GetDate() because if something comes in today, it takes the time into account and it will bring that record for today. You can do this in SQL, but I'm not sure how to do that in SSIS
I have a Problem with my destinations. I have a split condition with two ways the flow can use.
In this case: all and Date.
All and Date can be set by using a variable. Its working good.
When a user fills the variable with a date value (cast to string) the conditional split executes the correct flow with all the needed rows... The same time the all flow will be executed with 0 rows. In the end the destionation file for the all values will be overwritten with nothing. The same on the other hand when a user fills the variable with the all value, the date file is empty. What can i do to make sure that the files are not empty?
I have a delimited text file with 650+ columns. The sum of the column lengths of a single row, if fully populated, exceeds 30K bytes. The "killer" fields lengthwise are the "Description" fields. If they were removed from the input file, the remainig columns would occupy about 5000 bytes, which is within SQL max row length.
Can SSIS be used to created these two tables? (one without description fields, the other with those field but arranged vertically in the table rows).
The fundamental issue is I can not import a single file row into a sql table because that row length could exceed the max byte count for a row.
I have set up a conditional split task which i want to use with a flat file data source. The flat file consists of multiple rows of data where the first column is an ID. The conditional split is based on the first column value.
What i'd like to know is if in the conditional split once it splits the data can the output be transformed. e.g. If one of the values coming from the flat file requires to be either split up into two values or requires to be passed into a stored procedure to manipulate it, can this be done?
I have to load a flat file to a table, however there are some rows that I need to remove before loading to the table, see below the file structure.
I have to remove both, the blank row and the "**** Federal Do Not Call Registrants ****" as well, I was wondering if Conditional Split Transformation is the right tool to do this, if not, what would you guys recommend me doing.
1112223344|111|222|00000 2223334455|222|333|00000
**** Federal Do Not Call Registrants **** 1112223344|111|222|99999 2223334455|222|333|99999
We are using the cache transformation in our project , while doing the cache transformation our disk space goes to 0 MB free and SSIS package execution not completes even after 3 hr..Initially we have around 34 GB free space on C: drive .Our server configuration is 64 RAM. We are caching the data from table which contains around 21 million records.We changed the path in properties (“BLOPTempStoragePath”,”BufferTempStoragePath”) of Data Flow task of SSIS in which we are using Cache Transformation.
I'm trying to read a data table with all text fields using C# in ado.net. However, when my query runs, it always returns this error:
"The data types text and varchar are incompatible in the equal to operator. "
The SQL statment is "SELECT field1, field2 FROM table WHERE field1 = 'value'"
If I leave out the WHERE clause, it runs fine. There are NO varchar fields in my entire table (It's a test table). I've tried using both parameter objects and Convert (See commented section) with no luck. A packet trace shows the SQL string is being delivered in tact and the SQL server is returning the error. I don't know if it's a C# client issue, or a SQL Server 2005 Exp issue. The table was created using MS SQL Server Management Studio Express I'm currently using the SqlClient object like this:
<script runat="server"> DataSet dsData = new DataSet(); DataTable dtData = new DataTable();
void Page_Load() { string strConn = ConfigurationSettings.AppSettings["authstr"]; string strSQL = "SELECT User_ID, User_Name FROM USERS1 WHERE User_ID = "'bobhope'";
//string strSQL = "SELECT password_fld, pharmacy_fld FROM Esker_Tbl WHERE CONVERT(text, username_fld ) = '@prmuser'"; //SqlParameter spuser = new SqlParameter("@prmuser", SqlDbType.Text);
//string struser = "bobhope"; //spuser.Value = struser; try { SqlConnection Conn = new SqlConnection(strConn); SqlCommand Cmd = new SqlCommand(strSQL, Conn); SqlDataAdapter Adp = new SqlDataAdapter(Cmd);
i am creating ssis packages with condition split . condition is SUBSTRING(EnglishProductName,1,1) == "A". pacakge is successfully executived but data is not move to condition split transformer to oldeb destinations. it not showing any error.
I have a table that I am using in a package to create an extract from. In that table is an address field called "Street" that is 255 characters in length. My table also has 3 additional fields called address_1, address_2 and address_3 that are each 50 characters in length because that is the requirement for my extract. I need to split the address field up in such a way that if it is longer than 50 characters, it backs up to the first space in the address prior to character #50, puts that info in street1, then from that cut off point used in street1, puts the next 50 up to the prior blank space in street2, then the remainder in street3. Where the extract will be used only has three 50 character fields so if the data runs more than 150 characters, the street3 data will just have to be truncated. No way around that, but I don't anticipate any address getting close to that long. Although doing such a split would be much easier using SQL, the solution requirement is that it be done in the package, not using SQL to do so.
I'm assuming I need to use a "derived column transformation" in my data flow. But, I can't figure out how to do what I need to do with a derived column transformation.
Example of info in an address: 123 Chicamauga Avenue South, Across the Street from International Center Square, Apartment Number 17650 Tokiwa-machi Machida
position 1-50: 123 Chicamauga Avenue South, Across the Street fro
Therefore, Street1 would need to get: 123 Chicamauga Avenue South, Across the Street
Hi, I have a question regarding the Integration Services Data Types.
From http://msdn2.microsoft.com/en-us/library/ms141036(d-printer).aspx, I found a table that shows me the Mapping of Integration Services Data Types to Database Data Types.
For example, how the DT_BOOL Data Type maps to bit for SQL Server.
In this case, I am okay, as I know exactly what the mapping is, however, for some of the datatypes, I do not.
Here is an example. The DT_CY datatype maps to smallmoney and money ... how do I know which one to map to? For me, which one I map to does indeed matter because their representation is different.
DT_NUMERIC maps to decimal and numeric ... this one does not matter as much
DT_STR/DT_WSTR ... I need to know whether its char, varchar, ncahr, or nvarchar for padding purposes mostly.
I have a package that works fine in development. I move the package over to test and it fails validation in the lookup transform.
Error 46 Validation error. Data Flow Task - PO Lines Interface: Lookup - LIST PRICE [29621]: output column "LIST_PRICE_PER_UNIT" (29667) and reference column named "LIST_PRICE_PER_UNIT" have incompatible data types. SPO_TO_ORACLE_PO.dtsx 0 0
What strikes me as odd is the fact that I don't have a way of specifying the data types. I just specify the column I wish to return as a new column with the same name. Anyway, why would this work in one instance but not another?
The following is the full error message. I am posting the code after.
Server Error in '/XprtDr' Application.
The data types text and nvarchar are incompatible in the equal to operator. Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.Data.SqlClient.SqlException: The data types text and nvarchar are incompatible in the equal to operator.Source Error:
An unhandled exception was generated during the execution of the current web request. Information regarding the origin and location of the exception can be identified using the exception stack trace below. Stack Trace:
Hi, If I make a select query on my table, this error appears: "The data types text and varchar are incompatible in the equal to operator"
In my table , I have 4 fields with "text" datatype. My query is like : "Select * from table where field1='test'" It's seems to be simple, but it doesn't work!!!
I am working on a SSIS Package and I have to do a data transformation but this one is a but tricky. For example
7/6/2015 is my date and when I apply SUBSTRING(ColumnName,5,4) + "-" + SUBSTRING(ColumnName,3,1) + "-" + SUBSTRING(ColumnName, 1,1)
I get 2015-6-7 which is good
But then when the date is like 10/12/2015 I would have to modify my code
My question is, Is their anything I can add to the code to make the single digits have a zero before them so I can use the same code throughout. My updated code would then be
Is there a way in-code to determine the maximum length of a Integration Services Data Type.
I need to determine based on the data type what the maximum length of a column is IN-CODE.
However, the column.Length property only gives me a length for DT_WSTR and DT_STR values. This is the only property that would seem to remotely give me the right answer.
I need to know the maximum lengths in columns for DT_BOOL, DT_CY, DT_I2, DT_I4, DT_I8, DT_NUMERIC, and DT_UI1. I can always hard-code these values into my program, but that makes no sense. There has to be some sort of way to determine what the maximum possible length of these values are.
For numeric values I could use the column.Precision value but that still leaves with with a lot of data types without a maximum length.
TABLE_NAME DESC CODE tab1 table1 A tab1 table1 B tab1 table1 C tab2 table2 D tab2 table2 E tab2 table2 G...
First column values are table names which are already exists in target database. Next two columns[Desc],[Code] data gets populate from CSV file to table.
In this scenario, how to load tab1 data into the same table in destination and so on.
Which way will be more standard to accomplish this task? If its a script task using C#, looking for clear script to identify a value changes in the first column.
Hi, i have a table in sqlexpress named Contacts: ID (int) -primary key- name (varchar(30)) lastname (varchar(30)) phone (varchar(15)) fax (varchar(15)) desc (text) In my default.aspx page, i have a GridView that has the conecction to this table. The GridView has the Editing and Deleting checkbox enabled but my problem is that i can't edit or delete any row when the page is running and the massage is this: "The data types text and nvarchar are incompatible in the equal to operator" It would have to work, but i don't know what happen, Please, any help!
From SQL Server 2014, using SQL Server Data Tools for Visual Studio - BI, I'm trying to edit a Script Component within an SSIS Data Flow Task. The 'Edit Script...' button is enabled and turns a nice shade of blue when moused over, but a click has no effect. Perhaps I'm missing a component of VSTA? Everything else seems to work correctly. What might I be missing?
:: REGEDIT::: HKEY_LOCAL_MACHINESoftwareMicrosoftOffice14.0Access Connectivity EngineEnginesExcelTypeGuessRows ::TypeGuessRows value to zero (0) IMEX=1 Provider=Microsoft.ACE.OLEDB.12.0;Data Source=D:destination.xlsx;Extended Properties="Excel 12.0 XML;HDR=YES;IMEX=1";
But SQL Table Last 39 Records Dumped as NULL whichever is Alphanumeric. Why? Dynamically How Can I import without doing Text to column in Excel on that column ?