Trying to load file data into Snowflake using COPY INTO. The table has a timestamp column. The file has only Null's empty string "" in that column.
On running copy into with File Format Timestamp option set AUTO, the statement is failing stating Can't parse '' as timestamp.
Is there any way to handle this
Using NULL_IF option:
NULL_IF = ( 'string1' [ , 'string2' ... ] )
String used to convert to and from SQL NULL. Snowflake replaces these strings in the data load source with SQL NULL. To specify more than one string, enclose the list of strings in parentheses and use commas to separate each value.
NULL_IF = ('\\N', '')
i am loading the data from csv file to snowflake staging table, but the records are not going to all the fields instead the data is going to single field.
i am using necessary options while creating file format.
type = csv
field_delimiter = ','
skip_header = 1
field_optionally_enclosed_by = '"'
please suggest if any option that i am missing here?
Thanks
I'm trying to import data from a .csv file into a SQL Server table.
Using the code below, I can read from the file:
BULK INSERT #TempTable
FROM '\\Data\TestData\ImportList.csv'
WITH (FIELDTERMINATOR = ',', ROWTERMINATOR ='\n', FIRSTROW = 2, Lastrow = 3)
GO
(I added LastRow = 3 so I was just getting a subset of the data rather than dealing with all 2000 rows)
But I am getting multiple columns into a single column:
If I use the Import/Export wizard in SSMS, with the below settings, I see the expected results in the preview:
Can anyone give me some pointers as to how I need to update my query to perform correctly.
Here is a sample of what the CSV data looks like:
TIA.
You probably need to specify " as Text qualifier.
Your fields seem to be quoted and most likely contain comma's, which are currrently splitting your fields.
Or, if it works fine using <none> as Text qualifier, try to use FIELDQUOTE = '' or FIELDQUOTE = '\b' in your query. FIELDQUOTE defaults to '"'.
It's hard to tell what's really wrong without looking at some raw csv data that includes those quotes (as seen in your first screenshot).
I've got the simple table in CSV format:
999,"01/01/2001","01/01/2001","7777777","company","channel","01/01/2001"
990,"01/01/2001","01/01/2001","767676","hhh","tender","01/01/2001"
3838,"01/01/2001","01/01/2001","888","jhkh","jhkjh","01/01/2001"
08987,"01/01/2001","01/01/2001","888888","hkjhjkhv","jhgjh","01/01/2001"
8987,"01/01/2001","01/01/2001","9999","jghg","hjghg","01/01/2001"
jhkjhj,"01/01/2001","01/01/2001","9999","01.01.2001","hjhh","01/01/2001"
090009,"","","77777","","","01/01/2001"
980989,"01/01/2001","01/01/2001","888","","jhkh","01/01/2001"
0000,"01/01/2001","01/01/2001","99999","jhjh","","01/01/2001"
92929,"01/01/2001","01/01/2001","222","","","01/01/2001"
I'm trying to import that data into SQL Server using BULK INSERT (Transact-SQL)
set dateformat DMY;
BULK INSERT Oracleload
FROM '\\Mac\Home\Desktop\Test\T_DOGOVOR.csv'
WITH
(FIELDTERMINATOR = ',',
ROWTERMINATOR = '\n',
KEEPNULLS);
On the output I get the next error:
Msg 4864, Level 16, State 1, Line 4
Bulk load data conversion error (type mismatch or invalid character for the specified codepage) for row 1, column 2 (date_begin)....
Something wrong with date format maybe. But what script I need to write to fix that error?
Please help.
Thanks in advance.
BULK INSERT (nor bcp) cannot (properly) handle CSV files, specially if they have (correctly) " quotes. Alternatives are SSIS or PowerShell.
I always look at the data in Notepad++ to see if there are some weird characters, or non-printable characters, like a line break or something. For this, it seems like you can open it using Notepad (if you don't have Notepad++) do a find-replace for " to nothing... Save the file, and re-do the Bulk Load.
This record:
jhkjhj,"01/01/2001","01/01/2001","9999","01.01.2001","hjhh","01/01/2001"
The first column has a numeric type of some kind. You can't put the jhkjhj value into that field.
Additionally, some records have empty values ("") in date fields. These are likely to be to interpreted as empty strings, rather than null dates, and not convert properly.
But the error refers to "row 1, column 2". That's this value:
"01/01/2001"
Again, the import is interpreting this as a string, rather than a date. I suspect it's trying to import the quotes (") instead of just using them as separators.
You might try bulk loading to a special holding table, and then re-importing from there. Alternatively, you can change how data is exported or write a program to pre-clean it — strip the quotes from fields that shouldn't have them, isolate records that have data that won't insert to an exception file and report.
I m looking to do a batch load into a table, called temp_data, where some of the columns are NULLable dates.
Here is what I have till now:
LOAD TABLE some.temp_data
(SomeIntegerColumn ',', SomeDateColumn DATE('YYYYMMDD') NULL('NULL'), FILLER(1), SomeStringColumn ',')
USING CLIENT FILE '{0}' ESCAPES OFF DELIMITED BY ',' ROW DELIMITED BY '#'
and I m trying to load the following file
500,NULL,Monthly#
500,NULL,Monthly#
500,NULL,Monthly#
Unfortunately the error I get is:
ERROR [07006] [Sybase][ODBC Driver][Sybase IQ]Cannot convert NULL,Mon
to a date (column SomeDateColumn)
Any ideas why this wouldn't work?
It appears that it's reading the 8 characters following the first delimiter and trying to interpret them as a date.
Try switching to FORMAT BCP. The following example could work on your sample file:
LOAD TABLE some.temp_data (
SomeIntegerColumn
, SomeDateColumn NULL('NULL')
, SomeStringColumn
)
USING CLIENT FILE '{0}'
ESCAPES OFF
DELIMITED BY ','
ROW DELIMITED BY '#'
FORMAT BCP
In addition,FORMAT BCP also has the advantage of not requiring trailing delimiters.