I have tried to run a query to copy datetime from a text file to database.
It gives following error.
ERROR: date/time field value out of range: "14-09-2013 00:08:57"
HINT: Perhaps you need a different "datestyle" setting.
CONTEXT: COPY finaltest, line 186, column takendate: "14-09-2013 00:08:57"
But when i tried reading "14-09-2013 15:08:57"
It has given no error.
What is the reason that it don't read the time starting with "00".
Edit: Using this code to perform the operation:
COPY finaltest(weight,takendate,lineip) from 'H:\\result.txt' with delimiter','
Data from file looks like this:
29440.86,05-09-2013 00:08:33,005
29500.87,05-09-2013 01:08:33,005
29545.88,05-09-2013 02:08:33,005
29605.89,05-09-2013 03:08:33,005
29665.87,05-09-2013 04:08:33,005
Related
I have a ssis job that imports flat file data into my database and also data conversion. Please find a view of the scheme:
The issue is that I keep getting errors on the "Violations" field see below:
[Flat File Source [37]] Error: Data conversion failed. The data
conversion for column "Violations" returned status value 4 and status
text "Text was truncated or one or more characters had no match in the
target code page.".
[Flat File Source [37]] Error: The "Flat File Source.Outputs[Flat File
Source Output].Columns[Violations]" failed because truncation
occurred, and the truncation row disposition on "Flat File
Source.Outputs[Flat File Source Output].Columns[Violations]" specifies
failure on truncation. A truncation error occurred on the specified
object of the specified component.
[Flat File Source [37]] Error: An error occurred while processing file
"C:\Users\XXXX\XXXX\XXXX\XXXX\XXXX\XXXX\XXXX\Food_Inspections.csv"
on data row 25.
In line 25 of the CSV file, this field is over 4000 characters long.
In data conversion, I currently have the Data Type set to string [DT_STR] of length 8000, coding 65001.
Row delimiter {LF},
Column delimiter Semicolon {;}
I have already looked at other suggested solutions, i.e. increasing OutputColumnWidth to 5000 but it did not help - please advise how to solve this.
I am converting a pdf file to htmldom using pdftohtmlex and getting this error:
Internal Error: Attempt to output 65872 into a 16-bit field. It will be truncate and the file may not be useful.
Im tryingto import data from windows CSV (comma delimiter) file into pgSQL faxtest1 table, but I keep getting error saying "The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application."
The following is my code:
COPY faxtest1
FROM 'C:\Users\David\Desktop\test3.csv'
WITH DELIMITER AS ',' CSV ;
The CSV file is like:
Status,Fax ID
Fax to Email,2104
Fax to Email,2108
It is a bug of pg admin 4, hope they will fix it in the future.
In version 14, in the Import/Export data function, there are 2 columns, "Options" and "Columns." Try manually select the columns one at time, separated by a comma. See if this would by pass the error.
It worked for me.
I am unable to load 500mb csv file from google cloud storage to big query but i got this error
Errors:
Too many errors encountered. (error code: invalid)
Job ID xxxx-xxxx-xxxx:bquijob_59e9ec3a_155fe16096e
Start Time Jul 18, 2016, 6:28:27 PM
End Time Jul 18, 2016, 6:28:28 PM
Destination Table xxxx-xxxx-xxxx:DEV.VIS24_2014_TO_2017
Write Preference Write if empty
Source Format CSV
Delimiter ,
Skip Leading Rows 1
Source URI gs://xxxx-xxxx-xxxx-dev/VIS24 2014 to 2017.csv.gz
I have gzipped 500mb csv file to csv.gz to upload to GCS.Please help me to solve this issue
The internal details for your job show that there was an error reading the row #1 of your CSV file. You'll need to investigate further, but it could be that you have a header row that doesn't conform to the schema of the rest of the file, so we're trying to parse a string in the header as an integer or boolean or something like that. You can set the skipLeadingRows property to skip such a row.
Other than that, I'd check that the first row of your data matches the schema you're attempting to import with.
Also, the error message you received is unfortunately very unhelpful, so I've filed a bug internally to make the error you received in this case more helpful.
I'm running regular uploading job to upload csv into BigQuery. The job runs every hour. According to recent fail log, it says:
Error: [REASON] invalid [MESSAGE] Invalid argument: service.geotab.com [LOCATION] File: 0 / Offset:268436098 / Line:218637 / Field:2
Error: [REASON] invalid [MESSAGE] Too many errors encountered. Limit is: 0. [LOCATION]
I went to line 218638 (the original csv has a headline, so I assume 218638 should be the actual failed line, let me know if I'm wrong) but it seems all right. I checked according table in BigQuery, it has that line too, which means I actually successfully uploaded this line before.
Then why does it causes failure recently?
project id: red-road-574
Job ID: Job_Upload-7EDCB180-2A2E-492B-9143-BEFFB36E5BB5
This indicates that there was a problem with the data in your file, where it didn't match the schema.
The error message says it occurred at File: 0 / Offset:268436098 / Line:218637 / Field:2. This means the first file (it looks like you just had one), and then the chunk of the file starting at 268436098 bytes from the beginning of the file, then the 218637th line from that file offset.
The reason for the offset portion is that bigquery processes large files in parallel in multiple workers. Each file worker starts at an offset from the beginning of the file. The offset that we include is the offset that the worker started from.
From the rest of the error message, it looks like the string service.geotab.com showed up in the second field, but the second field was a number, and service.geotab.com isn't a valid number. Perhaps there was a stray newline?
You can see what the lines looked like around the error by doing:
cat <yourfile> | tail -c +268436098 | tail -n +218636 | head -3
This will print out three lines... the one before the error (since I used -n +218636 instead of +218637), the one that had the error, and the next line as well.
Note that if this is just one line in the file that has a problem, you may be able to work around the issue by specifying maxBadRecords.