DROP table if exists legislators;
CREATE table legislators
(
...
)
;
COPY legislators
FROM 'C:\data\legislators.csv'
DELIMITER ',' -- It is written in different line from `FROM` clause but it raises ERROR.
CSV HEADER;
I am trying to import CSV file to PostgreSQL on HeidiSQL v11. When I execute a query written in muliple lines as above, it raises an error:
ERROR: syntax error at or near "CSV" LINE 1: CSV HEADER;
However, I found that if I write a FROM clause and DELIMITER ',' in a single line together as below, it works well.
COPY legislators
FROM 'C:\data\legislators.csv' DELIMITER ',' -- These FROM and DELIMITER should be the same line to work
CSV HEADER;
I know SQL basically ignores whitespace, but I am confused why this happens.
It would be very appreciate someone help me. Thanks.
That's just because HeidiSQL is not very smart about parsing PostgreSQL lines and gets confused. It executed the statement as two statements, which causes the error.
Use a different client with PostgreSQL.
I tried to import a csv file (of size ~6GB) from s3 to redshift with the COPY command:
copy test.test_pat_temp from 's3://some_location/large_file.csv'
credentials 'aws_access_key_id=<access_key>;aws_secret_access_key=<Secret_Key>'
DELIMITER AS ','
EMPTYASNULL
BLANKSASNULL;
But got the following error:
An error occurred when executing the SQL command:
copy test_qa.test_pat_temp from 's3://some_location/large_file.csv'
credentials 'aws_access_...
Amazon Invalid operation: Load into table 'test_pat_temp' failed. Check 'stl_load_errors' system table for details.;
Execution time: 42.34s
1 statement failed.
The reason for the error in 'stl_load_errors' table is "Extra column(s) found".
I checked the csv file and it had comma (,) in many cells of name column. e.g. Lastname,Firstname.
How do I handle the comma while importing the csv file in redshift? I googled the error and just got the generic answer "handle the commas in the required column". Can anyone give me some details on how to handle the comma?
There are 329 columns and one of the columns is FULL_NAME with value say "Last_name, First_name". The values of the row are separated by comma. so a row would be something like: 1,2,88,,"Last_name,First_name",Company,,,,stack,overflow,,,, and so on.
I managed to import the file by simply adding REMOVEQUOTES option:
copy test.test_pat_temp from 's3://some_location/large_file.csv'
credentials 'aws_access_key_id=;aws_secret_access_key='
EMPTYASNULL
BLANKSASNULL
REMOVEQUOTES;
Is there query equivalent to sql server's openquery or openrowset to use in postgresql to query from excel or csv ?
You can use PostgreSQL's COPY
As per doc:
COPY moves data between PostgreSQL tables and standard file-system
files. COPY TO copies the contents of a table to a file, while COPY
FROM copies data from a file to a table (appending the data to
whatever is in the table already). COPY TO can also copy the results
of a SELECT query
COPY works like this:
Importing a table from CSV
Assuming you already have a table in place with the right columns, the command is as follows
COPY tblemployee FROM '~/empsource.csv' DELIMITERS ',' CSV;
Exporting a CSV from a table.
COPY (select * from tblemployee) TO '~/exp_tblemployee.csv' DELIMITERS ',' CSV;
Its important to mention here that generally if your data is in unicode or need strict Encoding, then Always set client_encoding before running any of the above mentioned commands.
To set CLIENT_ENCODING parameter in PostgreSQL
set client_encoding to 'UTF8'
or
set client_encoding to 'latin1'
Another thing to guard against is nulls, while exporting , if some fields are null then PostgreSQL will add '/N' to represent a null field, this is fine but may cause issues if you are trying to import that data in say SQL server.
A quick fix is modify the export command by specifying what would you prefer as a null placeholder in exported CSV
COPY (select * from tblemployee ) TO '~/exp_tblemployee.csv' DELIMITERS ',' NULL as E'';
Another common requirement is import or export with the header.
Import CSV to table with Header for columns present in first row of csv file.
COPY tblemployee FROM '~/empsource.csv' DELIMITERS ',' CSV HEADER
Export a table to CSV with Headers present in the first row.
COPY (select * from tblemployee) TO '~/exp_tblemployee.csv' DELIMITERS ',' CSV HEADER
I am importing a csv file into postgres, and would like to know how to import the correct data type while using the COPY command. For instance, I have a column column_1 integer; and want to insert the value 6 into it from my csv file.
I run the command copy "Table" from 'path/to/csv' DELIMITERS ',' CSV; and every time I try to do this I get the error ERROR: invalid input syntax for integer: "column_1". I figured out that it's because it is automatically importing every piece of data from the csv file as a string or text. If I change the column type to text then it works successfully, but this defeats the purpose of using a number as I need it for various calculations. Is there a way to conserve the data type when transferring? Is there something I need to change in the csv file? Or is there another datatype to assign to column_1? Hope this makes sense. Thanks in advance!
I did this and it worked flawlessly:
I put the plain number in the stack.csv
(The stack.csv has only one value 6)
# create table stack(i int);
# \copy stack from 'stack.csv' with (format csv);
I read in your comment that you have 25 columns in your CSV file. You need to have at least 25 columns in your table. All columns need to be mapped from CSV. If you have more than 25 columns in table you need the map only the columns mapped from CSV.
That's why it works at a text field because all data is put in one row cell.
If you have more columns that "fields" in your CSV file than the format is like this
\copy stack(column1, column2, ..., column25) from 'stack.csv' with (format csv);
I have created a table in my database with name 'con' which has two columns with the name 'date' and 'kgs'. I am trying to extract data from this 'hi.rpt' file copied on this location 'H:Sir\data\reporting\hi.rpt' and want to store values in the table 'con' in my database.
I have tried this code in pgadmin
When I run:
COPY con (date,kgs)
FROM 'H:Sir\data\reporting\hi.rpt'
WITH DELIMITER ','
CSV HEADER
date AS 'Datum/Uhrzeit'
kgs AS 'Summe'
I get the error:
ERROR: syntax error at or near "date"
LINE 5: date AS 'Datum/Uhrzeit'
^
********** Error **********
ERROR: syntax error at or near "date"
SQL state: 42601
Character: 113
"hi.rpt" file from which i am reading the data look like this:
Datum/Uhrzeit,Sta.,Bez.,Unit,TBId,Batch,OrderNr,Mat1,Total1,Mat2,Total2,Mat3,Total3,Mat4,Total4,Mat5,Total5,Mat6,Total6,Summe
41521.512369(04.09.13 12:17:48),TB01,TB01,005,300,9553,,2,27010.47,0,0.00,0,0.00,3,1749.19,0,0.00,0,0.00,28759.66
41521.547592(04.09.13 13:08:31),TB01,TB01,005,300,9570,,2,27057.32,0,0.00,0,0.00,3,1753.34,0,0.00,0,0.00,28810.66
Is it possible to extract only two data values from 20 different type of data that i have in this 'hi.rpt' file or not?
or is there only a mistake in the syntax that i have written?
What is the correct way to write it?
I don't know where you got that syntax, but COPY doesn't take a list of column aliases like that. See the help:
COPY table_name [ ( column_name [, ...] ) ]
FROM { 'filename' | PROGRAM 'command' | STDIN }
[ [ WITH ] ( option [, ...] ) ]
(AS isn't one of the listed options; to see the full output run \d copy in psql, or look at the manual for the copy command online).
There is no mapping facility in COPY that lets you read only some columns of the input CSV. It'd be really useful, but nobody's had the time/interest/funding to implement it yet. It's really only one of many data transform/filtering tasks people want anyway.
PostgreSQL expects the column-list given in COPY to be in the same order, left-to-right, as what's in the CSV file, and have the same number of entries as the CSV file has columns. So if you write:
COPY con (date,kgs)
then PostgreSQL will expect an input CSV with exactly two columns. It'll use the first csv column for the "date" table column and the second csv column for the "kgs" table column. It doesn't care what the CSV headers are, they're ignored if you specify WITH (FORMAT CSV, HEADER ON), or treated as normal data rows if you don't specify HEADER.
PostgreSQL 9.4 adds FROM PROGRAM to COPY, so you could run a shell command to read the file and filter it. A simple Python or Perl script would do the job.
If it's a small file, just open a copy in the spreadsheet of your choice as a csv file, delete the unwanted columns, and save it, so only the date and kgs columns remain.
Alternately, COPY to a staging table that has all the same columns as the CSV, then do an INSERT INTO ... SELECT to transfer just the wanted data into the real target table.