We will be exporting the data through command line data loader
I have a CSV file - it has many values with comma as a part of them. The commas within the fields will mislead and making it seem like the row has more columns than previously.
Name,Amount,Address
Me,20,000,My Home,India
you,23,300,Your Home,Where
What are my options here as it will be automated process.
Related
I have a strange source CSV file where it contains a trailing column delimiter at the end of each record just before the carriage return/new line.
When ADF is previewing this data, it displays only 2 columns without issue and all the data rows. However, when using the copy activity, it fails with the following exception.
ErrorCode=DelimitedTextColumnNameNotAllowNull,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=The
name of column index 3 is empty. Make sure column name is properly
specified in the header
Now I understand why it's complaining about this due to trailing delimiter, but my question is whether or not there is a way to deal with this condition? I've tried including the trailing comma in the record delimiter (,\r\n), but then it just pivots the data where all the columns become rows.
Is there a way to address this condition in copy activity?
When preview the data in dataset, it seams correct:
But actually in copy actives, the data will derived to 3 columns by the column delimiter ",", the third column is empty or NULL value. This will cause the error.
If you use Data Flow import projection from source, you can see the third column:
Just for now, copy active doesn't support modify the data schema. You must use Data flow Derived Column to create a new schema for the source. For example:
Then mapping the new column/schema to sink will solve the problem.
HTH.
Use a different encoding for your CSV. CSV utf-8 will do the trick.
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 need to copy a text file which has confusing delimiter. I believe the delimiter is space. However, some of the column values are empty and I cannot differentiate which column which making it harder to load the data to database since the space is not indicating anything. Thus, when I try to COPY, the mapping is not right and I am getting ERROR: extra data after last expected column
I have tried to change the delimiter to comma and such, I am still getting the same error above. The below code can be used when I try to load some dummy data with proper delimiter.
COPY usm00070219(HEADREC_ID,YEAR,MONTH,DAY,HOUR,RELTIME,NUMLEV,P_SRC,NP_SRC,LAT,LON) FROM 'D:\....\USM00070219-data.txt' DELIMITER ' ';
This is example data:
It should have 11 columns but the data on the first row is only 10 and it cannot identify the empty value column. The spacings are not helpful at all!
Is there any way I can separate the columns by character size as delimiter and force the data to be divided by the size given?
COPY is not made to handle fixed-width text files. I can think of two options:
Load the file as it is into a table with a single text column using COPY. Then use regexp_split_to_array to split it into its components and inser these into another table.
You can use file_fdw to create a foreign table with a single text column like above and operate on that. That saves loading the file into the database.
There is a foreign data wrapper for fixed-width text files that you can try.
I need to load an entire file (contains only ASCII text), to the database (DB2 Express ed.). The table has only two columns (ID, TEXT). The ID column is PK, with auto generated data, whereas the text is CLOB(5): I have no idea about the input parameter 5, it was entered by default in the Data Studio.
Now I need to use the load utility to save a text file (contains 5 MB of data), in a single row, namely in the column TEXT. I do not want the text to be broken into different rows.
thanks for your answer in advance!
Firstly, you may want to redefine your table: CLOB(5) means you expect 5 bytes in the column, which is hardly enough for a 5 MB file. After that you can use the DB2 IMPORT or LOAD commands with the lobsinfile modifier.
Create a text file and place LOB Location Specifiers (LLS) for each file you want to import, one per line.
LLS is a way to tell IMPORT where to find LOB data. It has this
format: <file path>[.<offset>.<length>/], e.g.
/tmp/lobsource.dta.0.100/ to indicate that the first 100 bytes of
the file /tmp/lobsource.dta should be loaded into the particular LOB
column. Notice also the trailing slash. If you want to import the
entire file, skip the offset and length part. LLSes are placed in
the input file instead of the actual data for each row and LOB column.
So, for example:
echo "/home/you/yourfile.txt" > /tmp/import.dat
Since you said the IDs will be generated in the input data, you don't need to enter them in the input file, just don't forget to use the appropriate command modifier: identitymissing or generatedmissing, depending on how the ID column is defined.
Now you can connect to the database and run the IMPORT command, e.g.
db2 "import from /tmp/import.dat of del
modified by lobsinfile identitymissing
method p (1)
insert into yourtable (yourclobcolumn)"
I split the command onto multiple lines for readability, but you should type it on a single line.
method p (1) means parse the input file and read the column in position 1.
More info in the manual
I have a Dictionary field in a MongoDB document which contains values that are separated by a semicolon. Is there any query that I could use to split the column into multiple columns.
The scenario is that I load in contents from a CSV file which sometimes has columns that are delimited by characters like a semicolon. Since I will have to support any kind of input CSV file, I cannot fix anything in the schema. Thus I have a dictionary field called "content" that stores the document contents as a dictionary. Now I need to be able to perform splits on columns that have multiple values.
Eg: Author Names column has entries like Author1;Author2;Author3. The user should be able to split this into 3 columns - one for each author.
Edit: For now, I have implemented this by means of a process on the server side. Ideally it would be great if I can do this in MongoDB itself (speed constraints).