I have a XML data column in a SQL Server table. There are more than 5000 elements in the XML. I intended to make a table out of that XML formatted column.
As far as I'm aware, SQL has a limitation that a table can only have 1024 columns. How will I flatten the file so that it may be used for reporting?
Related
I have dates in the format 01jan2020 (without a space or any separator) and need to convert this to a date type in SQL Server 2016 Management Studio.
The data was loaded from a .CSV file into a table (call it TestData, column is Fill_Date).
To join on a separate table to pull back data for another process, I need the TestData column Fill_Date to be in the correct format (MM-DD-YYYY) for my query to run correctly.
Fill_Date is currently in table TestData as datatype varchar(50).
I want to either see if it is possible to convert it with TestData table or directly insert the result into a 2nd table that is formatted.
Thanks (NEWB)
I ended up solving by converting the data while dropping into a temp table, deleting old value, and then inserting from that table back into the TestData table.
CONVERT(VARCHAR,CONVERT(date,[fill_date]),101) AS fill_date
I have data in table as below where value column data is quite big, like unstructured text:
http://s3.pdfconvertonline.com/convert/p3r68-cdx67/78gbs-hvj2r.html
The characters which you find in date like & and   are present and this is just for 2 small records, actual data is quite bigger which is why i use pivot xml as the IDs are 300 in real data set.
The Heading and Value columns were initially HTML data for each ID which is now split on basis of heading and corresponding value in html using xmltype parsing.
Now we have data in the 2 columns split.
I need to pivot this, i.e. the Heading column values which are constant for ever id to become column headers and the respective values to come below as rows.
When I run the pivot query it throws error:
select *
from data
pivot xml (max(id) for heading in (select heading from data));
An error occurs in XML parsing.
Entity reference is not well formed.
XML Parser returned an error while trying to parse the document.
Check if document to be parsed is valid.
Could the error be because of these special characters?
I'm using SQL Server 2008 with SQL Server Management Studio 10 to create tables and views.
My problem is I want to create a view from several tables with a lots of columns but I'm limited by the size of the rows (8060 bytes per row).
Some columns have varchar(255) types, and according to the documentation this column cannot be out-of-row and to make it work I need to convert it to the varchar(MAX) value.
See this thread: Strategies for bypassing the 8,060 byte limit on Row Length
But I can't modify the original types.
So, how can I convert or cast with my view (if possible with the SSMS creation tool) the original types to varchar(MAX) values for example?
EDIT : Full statement
SELECT dbo.V_NUM1.rownum, dbo.V_NUM1.id, dbo.V_NUM1.PAR_N, CONVERT(nchar(MAX), dbo.V_NUM1.PAR_Objet) AS PAR_Objet, ...... , dbo.V_NUM2.PAR_gestion_site_theme, dbo.NUM3.COM_RCD_PAR_N
FROM dbo.V_NUM1
FULL OUTER JOIN dbo.V_NUM2 ON dbo.V_NUM1.PAR_ID = dbo.V_NUM2.PAR_ID
FULL OUTER JOIN dbo.V_NUM3 ON dbo.V_NUM1.PAR_ID = dbo.V_NUM3.COM_RCD_PAR_N
From the database there is a column which contains xml data in the format like:
<old_template_code> something </old_template_code><old_template_name> new
code</old_template_name><new_template_code>BEVA24M</new_template_code>
How can I extract the values from the xml and make a column for each of the different xml values? For example I would like to do something like:
select EXTRACTVALUE(table.column, table.column)
but the latter doesn't work for me.
I have a table that stores an XML data type. I'm trying to compare what is in the table against data that will be inserted.
How do I Query and compare a sql XML data type to a table XML column?
I converted the data column to a varchar and did a string compare.
In Oracle you could compare CLOB's by using dbms_lob.compare
I converted the data column to a varchar and did a string compare.