Transact SQL :: Based On Data Convert Datatype And Make Wrong Date As NULL
Apr 21, 2015
In the below scenario we are inserting some time related fields in Temp table.But its data type is varchar. Once data loading is finished in the temp table (Data is loading by source team SQOOP and they are unable to load if the source datatype is having Date or datetime) we have to alter the column datatypes. somehow, some character data in inserted in date columns (look at into 3rd insert statement). while altering the table it is failing. Can we do any alternative for this (Means if any varchar data that is non convertible to date can we make as null)
INSERT INTO ##TEMP_TEST
SELECT '2014-09-30','2017-10-06','Nov 6 2014 6:11AM','Nov 6 2014 6:11AM'
UNION SELECT '2014-09-29','2017-10-06','Nov 6 2014 6:11AM','Nov 6 2014 6:11AM'
UNION SELECT '2014-09-28','2017-10-06','Nov 6 2014 6:11AM','Nov 6 2014 6:11AM'
GO
INSERT INTO ##TEMP_TEST SELECT NULL,NULL,NULL,NULL
FirstName | LastName | DateofBirth ---------------------------------------- Thomas | Alva Edison | 10-10-2015 Benjamin | Franklin | 10-10-2015 Thomas | More | 11-10-2015 Thomas | Jefferson | 12-10-2015
Suppose today's date is 09-10-2015 in (dd-MM-yyyy format), I want to perform a query in such a way that I should get the data from the table above WHERE DateofBirth is tomorrow, so I could get the following result.
FirstName | LastName | DateofBirth ---------------------------------------- Thomas | Alva Edison | 10-10-2015 Benjamin | Franklin | 10-10-2015
I am using SQL server 2008 .I have a table which has 1.5 crore records and some of my columns are Char datatype.Because of this i have spaces in my columns.Now I want to convert char to varchar datatype .But i have index on those columns .
So I have to build dynamic T-SQL because of a date parameter that will be provided. The Date Parameter will be provided in SSRS in normal MM/DD/CCYY format. So how do I then convert that date to my Oracle format
Let me start by saying that I'm brand new to SQL Server 2005 and SSIS. I'm using the import wizard in SQL2005 to import from a flat file into a table and everything works fine except for dates. A typical date in my flat file is 01-JAN-06. 01 represents the day of the week, JAN represents the month and 06 represents the year. The flat file also contains date values of 00-XXX-00 which represent no date. For example a column containing last purchase date data would look like this:"DateOfLastOrder" "01-JAN-06" "02-JAN-06" "00-XXX-00" "03-DEC-05"The value of 00-XXX-00 means that there is no purchase date.I want to bring these columns into my table and replace the 00-XXX-00 values with a NULL.
The table Data Type is datetime.
If I use the import wizard using the example above I get this error message:
- Copying to [cpstest].[dbo].[date] (Error) Messages Error 0xc0202009: Data Flow Task: An OLE DB error has occurred. Error code: 0x80004005. An OLE DB record is available. Source: "Microsoft SQL Native Client" Hresult: 0x80004005 Description: "Invalid character value for cast specification". (SQL Server Import and Export Wizard)
Error 0xc020901c: Data Flow Task: There was an error with input column "DateOfLastOrder" (32) on input "Destination Input" (26). The column status returned was: "The value could not be converted because of a potential loss of data.". (SQL Server Import and Export Wizard)
Error 0xc0209029: Data Flow Task: The "input "Destination Input" (26)" failed because error code 0xC0209077 occurred, and the error row disposition on "input "Destination Input" (26)" specifies failure on error. An error occurred on the specified object of the specified component. (SQL Server Import and Export Wizard)
Error 0xc0047022: Data Flow Task: The ProcessInput method on component "Destination - date" (13) failed with error code 0xC0209029. The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running. (SQL Server Import and Export Wizard)
Error 0xc0047021: Data Flow Task: Thread "WorkThread0" has exited with error code 0xC0209029. (SQL Server Import and Export Wizard)
If I remove the 00-XXX-00 values and import something like this:
I have a text field which displays quarter using YYYYQ (i.e. 20142, 20151, etc...)
I need to convert the field to a datetime representing the last day of that quarter. For example 20142 would be 06-30-2014 and 20151 would be 03-31-2015.
I have conducted a thorough search in the forums and cannot quite find my answer. I have a date field called open_date. If the open_date is more than 30 days old, I need to count it. I have started with the following code:
SELECT 'Older_Than_30Days' = CASE WHEN open.date >= 30 THEN '1' ELSE '0" END
I have a simple following table which is having only one date column.
CREATE TABLE TEST_DATE ( InputDate DATE ) GO INSERT INTO TEST_DATE VALUES('01-01-2015') INSERT INTO TEST_DATE VALUES('06-25-2015') INSERT INTO TEST_DATE VALUES('11-23-2014') GO SELECT * FROM TEST_DATE;
And the expected out put would be as follows:
I want to derive a Four Quarter End Date based on Date selected.
For Example if i select 01-01-2015 then First Quarter End Date would be Previous Quarter End Date Second Quarter End Date would be Current Quarter End Date Third Quarter End Date would be Next Quarter End Date Fourth Quarter End Date would be Next +1 Quarter End Date Like that
I have a requirement where i want to delete the records based on the Date column. I have table which contain the columns like machinename ,lasthardwarescandate
I want to delete the records based on the max(Lasthardwarescandate) i.e. latest one, column where the machine name is duplicate menace it repeats. So how would i remove the duplicate machine names based on the Lasthardwarescandate column(There are multiple entries for the Lasthardwarescandate so i want to fetch the latest date column).
Note: Duplication should be removed based on “Last Hardware Scan” date.
Only latest date should be considered from multiple records for the same system. "
I have a scenario to fetch records for each ID on 2 conditions. There are 2 types of Product type for each ID. PFE and PRI. I need only latest active PFE and at the same time all the latest PRI should be closed. (meaning, only PFE should be in Active status currently)
1.) Latest Product type PFE should be A (active) status for the particular ID 2.) At the same time ALL the latest PRI should be C(closed) status for the same ID
I have give example with 3 scenarios and desired output
1.) For ID 101, Latest PFE is active and all latest PRI is closed ----> Should come in result 2.) For ID 102, Latest PFE is Closed and all latest PRI is closed ---->Should NOT come in result
I have a field in a table that stores date of birth. The field's datatype is char(6) and looks like this: 091703 (mmddyy). I want to convert this value to a datetime datatype.
What is the syntax to convert char(6) to datetime?
ClaimNumTransactionDateUsername ClaimNum TransactionAmountUserName 2000074 20150209jerry.witt 2000074 -10000DATAFIX INSERTED ON 20150626 AT 162152493 LOCAL 2000074 20150626DATAFIX INSERTED ON 20150626 AT 162152493 LOCAL 2000074 -10000DATAFIX INSERTED ON 20150626 AT 162152493 LOCAL
[Code] .....
So,if we look at the result set, we notice 2 conditions where the IG_FinancialTransactionSummary.Username is like 'Data' and if we see the transaction date then sometimes that is the max transaction date or sometimes there are transactions that happened after but that doesn't have like '%data%' in username . So, i need to add a new column to my sql query which should basically verify if the username is like '%data%' and if that is the max(transaction date) or even if there are any transactions after that doesn't have like '%data%' then YES else No.
Hi there. I'm trying to extract data from my SQL server & everything in the script I've got is working (extracting correct data) except for one field - which is for the most part it's off by +2 days (on a few occasions - I see it off by just +1 day or even +3, but it's usually the +2 days).
I'm told that it's due to the conversion formula - but - since SQL is not my native language, I'm at a bit of a loss.
The DB table has the date field stored as a type: CHAR (as opposed to 'DATE') Can anyone out there help?
Hi, where I return the address details, in some of the fields they are blank, I need these blank fields as nulls, how do i do that ?
Thanks
Code Snippet SELECT a.[Account Name], a.[Line Address 1], a.[Line Address 2], a.[Line Address 3], a.[Line Address 4], b.* FROM ( SELECT abCUSA AS Company, abCUSB AS Account, 0 AS DeliverTo, abcnam AS [Account Name], abcad1 AS [Line Address 1], abcad2 AS [Line Address 2], abcad3 AS [Line Address 3], abcad4 AS [Line Address 4], CONVERT(VARCHAR(20), abCUSA) + CAST(abCUSB AS VARCHAR(20)) AS [Customer Number] FROM LIVEAS400.S65C422B.WRFDTA.PARNADR ) a Inner JOIN ( SELECT SLDATE as Date, SLCUSA as [Company Number], SLCUSB as [Customer Suffix], SLDELN as [Deliber To Number], SLTREF as [Trans Reference], SLCNAM as [Deliver To Name], CONVERT(VARCHAR(20), SLCUSA) + CAST(SLCUSB AS VARCHAR(20)) AS [Customer Number], CONVERT(VARCHAR(20), SLCUSA) + CAST(SLCUSB AS VARCHAR(20)) + CAST(SLDELN AS VARCHAR(20)) AS [Full Deliver To Number], -- SLTRT2 as [Trans type], CASE WHEN SLTRT2 IN (92, 93, 94, 95, 98) THEN SLGDSV * -1 ELSE SLGDSV END as [Goods Value], CASE WHEN SLTRT2 IN (92, 93, 94, 95, 98) THEN SLVATV * -1 ELSE SLVATV END as [VAT], CASE WHEN SLTRT2 IN (92, 93, 94, 95, 98) THEN SLTOTV * -1 ELSE SLTOTV END as Total, SLDESC as [Trans Description] FROM LIVEAS400.S65C422B.WRFDTA.SQLSLDGR ) b ON a.[Customer Number] = b.[Customer Number]
I need to pass in null/blank value in the date field or declare the field as string and convert date back to string.
I tried the 2nd option but I am having trouble converting the two digits of the recordset (rs_get_msp_info(2), 1, 2))) into a four digit yr. But it will only the yr in two digits. The mfg_start_date is delcared as a string variable
option 1 I will have to declare the mfg_start_date as date but I need to send in a blank value for this variable in the stored procedure. It won't accept a null or blank value.
I need to create SQL to convert multiple rows data to single row for given subscriber#. Below is the example. In below example , I've 4 family members with same subscriber # and each members have separate rows, I want to combine member data for same subscriber in 1 row, so there would be a 1 row for each subscriber.
Need some quick help here.. The data I got from the text file use the "04/11/2007" date format and the StockDate in MS-SQL use the datetime datatype.
My understanding is that the "04/11/2007" will default to the 04/11/2007 12:00 am" format in MS-SQL.
So, when I use the sql query, how do search only for the date part of the data in MS-SQL and match it to the data from text file? I tried this SQL Query below.
--snip-- SELECT RawID FROM tblPurchaseRaw WHERE VIN = '" & sVin.ToString.Trim & "' AND StockDate = '" & dStockDate.ToString.Trim & "' --snip--
That way, if I get a row then I know the data is there. If I don't get a row then I know the data is not there.
Bold: I get it now. It is all automatic as MS-SQL does it automatically...
I have a column in table which stores the actual signature from the singature pad. In the table it is stored as varchar(max) datatype and sample data looks like below. Below data is the actual signature of the person.
CREATE TABLE #test ([Signature] VARCHAR(MAX))
[code]...
How do i decrypt this data so i can print actual signature on my report.
In SQL Server for a field of datatype float(8), if i insert a value 2.62 , it saves it as 2.6200000000000001 like so for other values also. But in frontend i can see the right values.
