Trying to load csv with boolean column that has entries like this
1,10044.71556451,True
When using LOAD command I get the error
SQL27924W The value in row and column 3 could not be converted to a Boolean value, and the target column is not nullable, so the row was not loaded.
But when I try to INSERT it manually, it is inserted as expected.
Why isn't the LOAD command working in this case?
The LOAD command that gives errors
LOAD FROM '/csvs/loans.csv' OF DEL MODIFIED BY NOHEADER ANYORDER INSERT INTO loans
The INSERT command that works
INSERT INTO loans (loan_id, amount, accepted) VALUES (1,10044.71556451,True)
If your Db2-server runs on Linux/Unix/Windows, the load or ingest/import commands may support only values 0 and 1 for target-column type BOOLEAN. This seems to be the case up to version 11.1.4.4a. I did not try on version 11.5 yet.
You could preprocess the file, or arrange that the CSV file gets created with supported literal values. You might also be able to transform during ingest.
Related
I have columns like a int, b varchar,c timestamp in my table x (redshift) and am trying to load those three columns into another table b(redshift) by using a mapping m1, in that am using odbc connection's.
Issue is am able to load the data for all the columns except date fields (c timestamp) whether those are from src or expression.
In place of date null values are storing.
Mapping ran successful without any issue/warning.
Note: am using odbc connection's because I need to call stored procedure in Post sql.
thanks for your response.
As I modified the lookup transformation then I resolved the issue.
In lookup mapping I just modified the multiple matches to return all rows then the date fields are getting loaded from source/expression transformation to target.
The file is not importing after having created a table. The first line of code is for the table (COPY), the second line of code is for the path of the file (FROM) and the WITH I am not entirely sure if there's a prior line of code that needs to be entered for its success as its not being highlighted in pink. The importing should be going through in either the built-in tool of pgAdmin or the syntax but neither of them generates the needed output. Here are some screenshots:
So I did another table, this time focusing on a single column and ensuring that the name of the column matched on both the table and the file and it worked. The prior example had several columns that had difference in spellings of the column content in table and the file:
You can try this sequentially...
1. First create csv file. .csv file column sequence is most important.
2. Consider the below employee_info.csv file
And consider your database table employee_info table which contain (emp_id [numeric],emp_name[character],emp_sal[numeric],emp_loc [character])
Then Execute the below query
a. copy employee_info(emp_id,emp_name,emp_sal,emp_loc) from 'C:\Users\Zbook\Desktop\employee_info.csv' DELIMITERS ',' CSV;
Note: Ensure that each .csv file row value has not null. Like below...
I have the following table in redshift:
Column | Type
id integer
value varchar(255)
I'm trying to copy in (using the datapipeline's RedshiftCopyActivity), and the data has the line 1,maybe as the entry trying to be added, but I get back the error 1214:Delimiter not found, and the raw_field_data value is maybe. Is there something I'm missing in the copy parameters?
The entire csv is three lines that goes:
1,maybe
2,no
3,yes
You may want to take a look at the similar question Redshift COPY command delimiter not found.
Make sure your RedshiftCopyActivity configuration includes FORMAT AS CSV from https://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-data-format.html#copy-csv.
Be sure your input data has your configured delimiter between every field, even in the case of nulls.
Be sure you do not have any trailing blank lines.
You can run the following SQL (from the linked question) to see more specific details of what row is causing the problem.
SELECT le.starttime,
d.query,
d.line_number,
d.colname,
d.value,
le.raw_line,
le.err_reason
FROM stl_loaderror_detail d,
JOIN stl_load_errors le
ON d.query = le.query
ORDER BY le.starttime DESC;
I have a CLOB(2000000) field in a db2 (v10) database, and I would like to run a simple UPDATE query on it to replace each occurances of "foo" to "baaz".
Since the contents of the field is more then 32k, I get the following error:
"{some char data from field}" is too long.. SQLCODE=-433, SQLSTATE=22001
How can I replace the values?
UPDATE:
The query was the following (changed UPDATE into SELECT for easier testing):
SELECT REPLACE(my_clob_column, 'foo', 'baaz') FROM my_table WHERE id = 10726
UPDATE 2
As mustaccio pointed out, REPLACE does not work on CLOB fields (or at least not without doing a cast to VARCHAR on the data entered - which in my case is not possible since the size of the data is more than 32k) - the question is about finding an alternative way to acchive the REPLACE functionallity for CLOB fields.
Thanks,
krisy
Finally, since I have found no way to this by an SQL query, I ended up exporting the table, editing its lob content in Notepad++, and importing the table back again.
Not sure if this applies to your case: There are 2 different REPLACE functions offered by DB2, SYSIBM.REPLACE and SYSFUN.REPLACE. The version of REPLACE in SYSFUN accepts CLOBs and supports values up to 1 MByte. In case your values are longer than you would need to write your own (SQL-based?) function.
BTW: You can check function resolution by executing "values(current path)"
I run this
db2 "IMPORT FROM C:\my.csv OF DEL MODIFIED BY COLDEL, LOBSINFILE DATEFORMAT=\"D/MM/YYYY\" SKIPCOUNT 1 REPLACE INTO scratch.table_name"
However some of my rows have a empty date field so I get this error
SQL3191N which begins with """" does not match the user specified DATEFORMAT, TIMEFORMAT, or TIMESTAMPFORMAT. The row will be rejected.
My CSV file looks like this
"XX","25/10/1985"
"YY",""
"ZZ","25/10/1985"
I realise if I insert charater instead of a blank string I could use NULL INDICATORS paramater.
However I do not have access to change the CSV file. Is there a way to ignore import a blank string as a null?
This is an error in your input file. DB2 differentiates between a NULL and a zero-length string. If you need to have NULL dates, a NULL would have no quotes at all, like:
"AA",
If you can't change the format of the input file, you have 2 options:
Insert your data into a staging table (changing the DATE column to a char) and then using SQL to populate the ultimate target table
Write a program to parse ("fix") the input file and then import the resulting fixed data. You can often do this without having to write the entire file out to disk – your program could write to a named pipe, and the DB2 IMPORT (and LOAD) utility is capable of reading from named pipes.
I'm not aware of anything. Yes, ideally that date field should be null.
Probably the best thing to do would be load the data into a scratch/temp table where that isn't a date column - just leave it as character data (it looks like you're already using a scratch table anyways). It should be trivial after that to use a CASE statement to transform the information into a null date if the value is blank, when doing your INSERT to the real table.