I have this job where i input from the source to the target database. I set the Set Fail on size mismatch to "No", the error is ODBC_Connector_0: Schema reconciliation detected a size mismatch for column plafon. When reading database column DECIMAL(15,2) into column INT32, truncation, loss of precision, data corruption or padding can occur. in the previous job this trick works but somehow with this new job it does not work. Is the only way to fix it is with this closure?
You are converting data implicitly - and in your case even data types - this can cause a lot of trouble so the message is right.
Suggested solution:
Convert explicitly - either in SQL with CAST or within DataStage.
Related
We have a generic dataflow that works for many tables, the schema is detected at runtime.
We are trying to add a Partition Column for the Ingestion or Sink portion of the delta.
We are getting error:
Azure Data Factory DataFlow Error: Key partitioning does not allow computed columns
Job failed due to reason: at Source 'Ingestion'(Line 7/Col 0): Key partitioning does not allow computed columns
Can we pass the partition column as a parameter to a generic dataflow?
Can we pass the partition column as a parameter to a generic dataflow?
I tried your scenario and got similar error.
There is a limitation of key partition method is we cannot apply any calculation to the partition column while declaring it. Instead, this must be created in advanced, either using derived column or read in from source.
To resolve this, you can try following steps -
First, I created a pipeline parameter with datatype string and gave column name as value.
Click on Dataflow >> Go to Parameter >> In value of parameter select Pipeline expression >> and pass the above created parameter.
OUTPUT:
It is taking it as partition key column and partitioning data accordingly.
Reference : How To Use Data Flow Partitions To Optimize Spark Performance In Data Factor
I have a product for my model that will go through a series of processing times. I'm assigning the processing times to each product type through an excel database which will be loaded into the model, with each processing time in a separate column (e.g. Product 1: 2.3, 4.8, 9 --> meaning that it takes 2.3-time units for process 1, 4.8-time units at process 2 and so on)
Currently, I am storing all the processing time in a List(Double) within my product (e.g. v_ProcessTime = [2.3, 4.8, 9]). However, I face an error when some columns contain purely integers instead of double values (The column value type will be recognised as integers and Anylogic prompts an error that I can't write an integer to a double list). The only workaround currently is to change the column type of the database to Double values manually.
Is it possible to use Java coding to change the value type of databases or any way to bypass this issue?
unfortunately, how the database recognize the type is out of your control... and yeah if you can't change the source itself with at least 1 value that is not an integer, then your only choice is to change the database value manually.
nevertheless, to use them in a list, you can just transform an integer into a double like this
(double)intVariable
I'm doing an ETL for a job. For the data source stage, I input custom select statement. In the output tab of data source stage, I defined the INCEPTION column data type is Timestamp. The right data type for INCEPTION is date. I check it via DBEAVER. But somehow the IBM Datastage assumes that it is WVARCHAR. It says ODBC_Connector_0: Schema reconciliation detected a type mismatch for field INCEPTION. When moving data from field type WVARCHAR(min=0,max=10) into DATETIME(fraction=6), data corruption can occur (CC_DBSchemaRules::reportTypeMismatch, file CC_DBSchemaRules.cpp, line 1,838). I don't know why it is, since from the database shows that INCEPTION is definitely a Date column. I don't know how to fix this since I don't think I'm making mistake. What did I do wrong and how to fix this?
Where did DataStage get its table definition? DataStage is a computer program; it can't "decide" anything. If you import the table definition from the source, what data type is INCEPTION ? If it is either Date or Timestamp, load that table definition into your DataStage job. Otherwise explicitly convert the string using StringToTimestamp() function in a Transformer stage.
We are trying to insert data to postgresql based database.
We use PutDatabaseRecord processor with following configurations :
But we get an warning and data is not inserted to database and records are not inserted.
Is this apache commoncsv related issue?
How can I solve this issue?
Edit :
After #matt's initial answer : I found intersting thing with data, in address field it has :
"No 60, Marine Drive,"
CSVReader in PutDatabaseRecord uses , value separator. So address must be read as 3 different column values.
The error seems to indicate you have more columns in the header than in (some lines of) data. If that's not the case, I suspect there's either a bug when handling empty columns, or Infer Schema doesn't work as expected with an empty column in the first row (how would it be able to guess the type of "nothing"?).
I am facing this problem due to unknown reason and I have tried every forum and blog for solving this but could not get any satisfactory answer for this.
Let me describe the scenario.
I have a view in database which is consisting columns from two tables. None of the tables have any column with data type "int" hence the resultant view (let's name is "MyRecord") also does not have any column with "int" data types. All the columns in the view have varchar as datatype.
Now, in my .edmx I am adding this view and the model is created (with name "MyRecord") fine with all the properties are created fine with datatype "String". I am using Silverlight with RIA services, to after builing the application related proxies are also created fine without any confiction.
The problem starts when I try to query the "MyRecord" using my domain context, I am getting following error.
Load operation failed for query 'GetMyRecords'. The 'CenterCode' property on 'MyRecord' could not be set to a 'String' value. You must set this property to a non-null value of type 'Int32'.
As seen in the error, it is clearly forcing me to convert data type of "string" column "CenterCode" to the "Int32" which is totally useless and unnecessary for me. The "String" or "varchar" columns are there because they have some business importance and changing them to "Int32" or "int" might break the application in future. Its true that "CenterCode" column has numeric data only in it but there can be character data in future thats why it is created with 'varchar' datatype.
I can not change type of my data just because EF is not supporting.
I used sql server profiler, the query is being executed correct and I can run the same query in SSMS without any error. The error comes in the application only when EF is building objects from the data returned by the query.
I am failed to understand why Entity Framework is throwing this error, it is simply not converting "varchar" to "String" and unnecessarily bringing "Int32" in picture and making the life difficult. I am struggling with this issue since last 4 hours and tried every possible way to resolve it but everything is in vein.
Please provide some information or solution on this if anyone is having it.
EF team, you must have some answer to this question or work around for this problem.
I had the same problem with a double datatype.
Solution:
Change your view/procedure and cast the column like:cast(columnname as int32)
Not sure if you solved this problem or not, but I just ran into something like this while working on multiple result sets with EF. In my case, I had reader.NextResult() that was causing a problem for me because I hadn't read all the records from the previous result and I think EF was failing due to trying to map data from the second result set into the first object.
CAST(columnName as Type) solve my problem in stored procedure.