Can I automatically create a table in PostgreSQL from a csv file with headers?
up vote
34
down vote
favorite
I'm running PostgreSQL 9.2.6 on OS X 10.6.8. I would like to import data from a CSV file with column headers into a database. I can do this with the COPY statement, but only if I first manually create a table with a column for each column in the CSV file. Is there any way to automatically create this table based on the headers in the CSV file?
Per this question I have tried
COPY test FROM '/path/to/test.csv' CSV HEADER;
But I just get this error:
ERROR: relation "test" does not exist
And if I first create a table with no columns:
CREATE TABLE test ();
I get:
ERROR: extra data after last expected column
I can't find anything in the PostgreSQL COPY documentation about automatically creating a table. Is there some other way to automatically create a table from a CSV file with headers?
postgresql csv
add a comment |
up vote
34
down vote
favorite
I'm running PostgreSQL 9.2.6 on OS X 10.6.8. I would like to import data from a CSV file with column headers into a database. I can do this with the COPY statement, but only if I first manually create a table with a column for each column in the CSV file. Is there any way to automatically create this table based on the headers in the CSV file?
Per this question I have tried
COPY test FROM '/path/to/test.csv' CSV HEADER;
But I just get this error:
ERROR: relation "test" does not exist
And if I first create a table with no columns:
CREATE TABLE test ();
I get:
ERROR: extra data after last expected column
I can't find anything in the PostgreSQL COPY documentation about automatically creating a table. Is there some other way to automatically create a table from a CSV file with headers?
postgresql csv
add a comment |
up vote
34
down vote
favorite
up vote
34
down vote
favorite
I'm running PostgreSQL 9.2.6 on OS X 10.6.8. I would like to import data from a CSV file with column headers into a database. I can do this with the COPY statement, but only if I first manually create a table with a column for each column in the CSV file. Is there any way to automatically create this table based on the headers in the CSV file?
Per this question I have tried
COPY test FROM '/path/to/test.csv' CSV HEADER;
But I just get this error:
ERROR: relation "test" does not exist
And if I first create a table with no columns:
CREATE TABLE test ();
I get:
ERROR: extra data after last expected column
I can't find anything in the PostgreSQL COPY documentation about automatically creating a table. Is there some other way to automatically create a table from a CSV file with headers?
postgresql csv
I'm running PostgreSQL 9.2.6 on OS X 10.6.8. I would like to import data from a CSV file with column headers into a database. I can do this with the COPY statement, but only if I first manually create a table with a column for each column in the CSV file. Is there any way to automatically create this table based on the headers in the CSV file?
Per this question I have tried
COPY test FROM '/path/to/test.csv' CSV HEADER;
But I just get this error:
ERROR: relation "test" does not exist
And if I first create a table with no columns:
CREATE TABLE test ();
I get:
ERROR: extra data after last expected column
I can't find anything in the PostgreSQL COPY documentation about automatically creating a table. Is there some other way to automatically create a table from a CSV file with headers?
postgresql csv
postgresql csv
edited May 23 '17 at 11:54
Community♦
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11
asked Jan 9 '14 at 10:57
ihough
183128
183128
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
up vote
20
down vote
accepted
You can't find anything in the COPY documentation, because COPY cannot create a table for you.
You need to do that before you can COPY to it.
add a comment |
up vote
26
down vote
There is a very good tool that imports tables into Postgres from a csv file.
It is a command-line tool called pgfutter (with binaries for windows, linux, etc.). One of its big advantages is that it recognizes the attribute/column names as well.
The usage of the tool is simple. For example if you'd like to import myCSVfile.csv:
pgfutter --db "myDatabase" --port "5432" --user "postgres" --pw "mySecretPassword" csv myCSVfile.csv
This will create a table (called myCSVfile) with the column names taken from the csv file's header. Additionally the data types will be identified from the existing data.
A few notes: The command pgfutter varies depending on the binary you use, e.g. it could be pgfutter_windows_amd64.exe (rename it if you intend to use this command frequently). The above command has to be executed in a command line window (e.g. in Windows run cmd and ensure pgfutter is accessible). If you'd like to have a different table name add --table "myTable"; to select a particular database schema us --schema "mySchema". In case you are accessing an external database use --host "myHostDomain".
A more elaborate example of pgfutter to import myFile into myTable is this one:
pgfutter --host "localhost" --port "5432" --db "myDB" --schema "public" --table "myTable" --user "postgres" --pw "myPwd" csv myFile.csv
Most likely you will change a few data types (from text to numeric) after the import:
alter table myTable
alter column myColumn type numeric
using (trim(myColumn)::numeric)
I requires the destination table and columns to be created if I specify a schema name. Frustrating
– Muhammad Gelbana
Jul 28 '17 at 15:28
This tool is presently failing with an "index out of range" exception when you try to import a CSV file.
– Luís de Sousa
Jul 16 at 12:34
add a comment |
up vote
12
down vote
There is a second approach, which I found here (from mmatt). Basically you call a function within Postgres (last argument specifies the number of columns).
select load_csv_file('myTable','C:/MyPath/MyFile.csv',24)
Here is mmatt's function code, which I had to modify slightly, because I am working on the public schema. (copy&paste into PgAdmin SQL Editor and run it to create the function)
CREATE OR REPLACE FUNCTION load_csv_file(
target_table text,
csv_path text,
col_count integer)
RETURNS void AS
$BODY$
declare
iter integer; -- dummy integer to iterate columns with
col text; -- variable to keep the column name at each iteration
col_first text; -- first column name, e.g., top left corner on a csv file or spreadsheet
begin
set schema 'public';
create table temp_table ();
-- add just enough number of columns
for iter in 1..col_count
loop
execute format('alter table temp_table add column col_%s text;', iter);
end loop;
-- copy the data from csv file
execute format('copy temp_table from %L with delimiter '','' quote ''"'' csv ', csv_path);
iter := 1;
col_first := (select col_1 from temp_table limit 1);
-- update the column names based on the first row which has the column names
for col in execute format('select unnest(string_to_array(trim(temp_table::text, ''()''), '','')) from temp_table where col_1 = %L', col_first)
loop
execute format('alter table temp_table rename column col_%s to %s', iter, col);
iter := iter + 1;
end loop;
-- delete the columns row
execute format('delete from temp_table where %s = %L', col_first, col_first);
-- change the temp table name to the name given as parameter, if not blank
if length(target_table) > 0 then
execute format('alter table temp_table rename to %I', target_table);
end if;
end;
$BODY$
LANGUAGE plpgsql VOLATILE
COST 100;
ALTER FUNCTION load_csv_file(text, text, integer)
OWNER TO postgres;
Note: There is a common issue with importing text files related to encoding. The csv file should be in UTF-8 format. However, sometimes this is not quite achieved by the programs, which try to do the encoding. I have overcome this issue by opening the file in Notepad++ and converting it to ANSI and back to UTF8.
2
This is a tidy solution. Take care to ensure that none of the columns have reserved keyword names - e.g., if the CSV file has a column calledorder(for order numbers, say) change it toorder_num. Also, remember to change columnTYPEas required.
– GT.
Sep 15 '16 at 23:58
add a comment |
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
20
down vote
accepted
You can't find anything in the COPY documentation, because COPY cannot create a table for you.
You need to do that before you can COPY to it.
add a comment |
up vote
20
down vote
accepted
You can't find anything in the COPY documentation, because COPY cannot create a table for you.
You need to do that before you can COPY to it.
add a comment |
up vote
20
down vote
accepted
up vote
20
down vote
accepted
You can't find anything in the COPY documentation, because COPY cannot create a table for you.
You need to do that before you can COPY to it.
You can't find anything in the COPY documentation, because COPY cannot create a table for you.
You need to do that before you can COPY to it.
answered Jan 9 '14 at 11:05
Erwin Brandstetter
335k64606785
335k64606785
add a comment |
add a comment |
up vote
26
down vote
There is a very good tool that imports tables into Postgres from a csv file.
It is a command-line tool called pgfutter (with binaries for windows, linux, etc.). One of its big advantages is that it recognizes the attribute/column names as well.
The usage of the tool is simple. For example if you'd like to import myCSVfile.csv:
pgfutter --db "myDatabase" --port "5432" --user "postgres" --pw "mySecretPassword" csv myCSVfile.csv
This will create a table (called myCSVfile) with the column names taken from the csv file's header. Additionally the data types will be identified from the existing data.
A few notes: The command pgfutter varies depending on the binary you use, e.g. it could be pgfutter_windows_amd64.exe (rename it if you intend to use this command frequently). The above command has to be executed in a command line window (e.g. in Windows run cmd and ensure pgfutter is accessible). If you'd like to have a different table name add --table "myTable"; to select a particular database schema us --schema "mySchema". In case you are accessing an external database use --host "myHostDomain".
A more elaborate example of pgfutter to import myFile into myTable is this one:
pgfutter --host "localhost" --port "5432" --db "myDB" --schema "public" --table "myTable" --user "postgres" --pw "myPwd" csv myFile.csv
Most likely you will change a few data types (from text to numeric) after the import:
alter table myTable
alter column myColumn type numeric
using (trim(myColumn)::numeric)
I requires the destination table and columns to be created if I specify a schema name. Frustrating
– Muhammad Gelbana
Jul 28 '17 at 15:28
This tool is presently failing with an "index out of range" exception when you try to import a CSV file.
– Luís de Sousa
Jul 16 at 12:34
add a comment |
up vote
26
down vote
There is a very good tool that imports tables into Postgres from a csv file.
It is a command-line tool called pgfutter (with binaries for windows, linux, etc.). One of its big advantages is that it recognizes the attribute/column names as well.
The usage of the tool is simple. For example if you'd like to import myCSVfile.csv:
pgfutter --db "myDatabase" --port "5432" --user "postgres" --pw "mySecretPassword" csv myCSVfile.csv
This will create a table (called myCSVfile) with the column names taken from the csv file's header. Additionally the data types will be identified from the existing data.
A few notes: The command pgfutter varies depending on the binary you use, e.g. it could be pgfutter_windows_amd64.exe (rename it if you intend to use this command frequently). The above command has to be executed in a command line window (e.g. in Windows run cmd and ensure pgfutter is accessible). If you'd like to have a different table name add --table "myTable"; to select a particular database schema us --schema "mySchema". In case you are accessing an external database use --host "myHostDomain".
A more elaborate example of pgfutter to import myFile into myTable is this one:
pgfutter --host "localhost" --port "5432" --db "myDB" --schema "public" --table "myTable" --user "postgres" --pw "myPwd" csv myFile.csv
Most likely you will change a few data types (from text to numeric) after the import:
alter table myTable
alter column myColumn type numeric
using (trim(myColumn)::numeric)
I requires the destination table and columns to be created if I specify a schema name. Frustrating
– Muhammad Gelbana
Jul 28 '17 at 15:28
This tool is presently failing with an "index out of range" exception when you try to import a CSV file.
– Luís de Sousa
Jul 16 at 12:34
add a comment |
up vote
26
down vote
up vote
26
down vote
There is a very good tool that imports tables into Postgres from a csv file.
It is a command-line tool called pgfutter (with binaries for windows, linux, etc.). One of its big advantages is that it recognizes the attribute/column names as well.
The usage of the tool is simple. For example if you'd like to import myCSVfile.csv:
pgfutter --db "myDatabase" --port "5432" --user "postgres" --pw "mySecretPassword" csv myCSVfile.csv
This will create a table (called myCSVfile) with the column names taken from the csv file's header. Additionally the data types will be identified from the existing data.
A few notes: The command pgfutter varies depending on the binary you use, e.g. it could be pgfutter_windows_amd64.exe (rename it if you intend to use this command frequently). The above command has to be executed in a command line window (e.g. in Windows run cmd and ensure pgfutter is accessible). If you'd like to have a different table name add --table "myTable"; to select a particular database schema us --schema "mySchema". In case you are accessing an external database use --host "myHostDomain".
A more elaborate example of pgfutter to import myFile into myTable is this one:
pgfutter --host "localhost" --port "5432" --db "myDB" --schema "public" --table "myTable" --user "postgres" --pw "myPwd" csv myFile.csv
Most likely you will change a few data types (from text to numeric) after the import:
alter table myTable
alter column myColumn type numeric
using (trim(myColumn)::numeric)
There is a very good tool that imports tables into Postgres from a csv file.
It is a command-line tool called pgfutter (with binaries for windows, linux, etc.). One of its big advantages is that it recognizes the attribute/column names as well.
The usage of the tool is simple. For example if you'd like to import myCSVfile.csv:
pgfutter --db "myDatabase" --port "5432" --user "postgres" --pw "mySecretPassword" csv myCSVfile.csv
This will create a table (called myCSVfile) with the column names taken from the csv file's header. Additionally the data types will be identified from the existing data.
A few notes: The command pgfutter varies depending on the binary you use, e.g. it could be pgfutter_windows_amd64.exe (rename it if you intend to use this command frequently). The above command has to be executed in a command line window (e.g. in Windows run cmd and ensure pgfutter is accessible). If you'd like to have a different table name add --table "myTable"; to select a particular database schema us --schema "mySchema". In case you are accessing an external database use --host "myHostDomain".
A more elaborate example of pgfutter to import myFile into myTable is this one:
pgfutter --host "localhost" --port "5432" --db "myDB" --schema "public" --table "myTable" --user "postgres" --pw "myPwd" csv myFile.csv
Most likely you will change a few data types (from text to numeric) after the import:
alter table myTable
alter column myColumn type numeric
using (trim(myColumn)::numeric)
edited Jan 19 '16 at 18:48
answered Jan 19 '16 at 16:50
Wolfi
58767
58767
I requires the destination table and columns to be created if I specify a schema name. Frustrating
– Muhammad Gelbana
Jul 28 '17 at 15:28
This tool is presently failing with an "index out of range" exception when you try to import a CSV file.
– Luís de Sousa
Jul 16 at 12:34
add a comment |
I requires the destination table and columns to be created if I specify a schema name. Frustrating
– Muhammad Gelbana
Jul 28 '17 at 15:28
This tool is presently failing with an "index out of range" exception when you try to import a CSV file.
– Luís de Sousa
Jul 16 at 12:34
I requires the destination table and columns to be created if I specify a schema name. Frustrating
– Muhammad Gelbana
Jul 28 '17 at 15:28
I requires the destination table and columns to be created if I specify a schema name. Frustrating
– Muhammad Gelbana
Jul 28 '17 at 15:28
This tool is presently failing with an "index out of range" exception when you try to import a CSV file.
– Luís de Sousa
Jul 16 at 12:34
This tool is presently failing with an "index out of range" exception when you try to import a CSV file.
– Luís de Sousa
Jul 16 at 12:34
add a comment |
up vote
12
down vote
There is a second approach, which I found here (from mmatt). Basically you call a function within Postgres (last argument specifies the number of columns).
select load_csv_file('myTable','C:/MyPath/MyFile.csv',24)
Here is mmatt's function code, which I had to modify slightly, because I am working on the public schema. (copy&paste into PgAdmin SQL Editor and run it to create the function)
CREATE OR REPLACE FUNCTION load_csv_file(
target_table text,
csv_path text,
col_count integer)
RETURNS void AS
$BODY$
declare
iter integer; -- dummy integer to iterate columns with
col text; -- variable to keep the column name at each iteration
col_first text; -- first column name, e.g., top left corner on a csv file or spreadsheet
begin
set schema 'public';
create table temp_table ();
-- add just enough number of columns
for iter in 1..col_count
loop
execute format('alter table temp_table add column col_%s text;', iter);
end loop;
-- copy the data from csv file
execute format('copy temp_table from %L with delimiter '','' quote ''"'' csv ', csv_path);
iter := 1;
col_first := (select col_1 from temp_table limit 1);
-- update the column names based on the first row which has the column names
for col in execute format('select unnest(string_to_array(trim(temp_table::text, ''()''), '','')) from temp_table where col_1 = %L', col_first)
loop
execute format('alter table temp_table rename column col_%s to %s', iter, col);
iter := iter + 1;
end loop;
-- delete the columns row
execute format('delete from temp_table where %s = %L', col_first, col_first);
-- change the temp table name to the name given as parameter, if not blank
if length(target_table) > 0 then
execute format('alter table temp_table rename to %I', target_table);
end if;
end;
$BODY$
LANGUAGE plpgsql VOLATILE
COST 100;
ALTER FUNCTION load_csv_file(text, text, integer)
OWNER TO postgres;
Note: There is a common issue with importing text files related to encoding. The csv file should be in UTF-8 format. However, sometimes this is not quite achieved by the programs, which try to do the encoding. I have overcome this issue by opening the file in Notepad++ and converting it to ANSI and back to UTF8.
2
This is a tidy solution. Take care to ensure that none of the columns have reserved keyword names - e.g., if the CSV file has a column calledorder(for order numbers, say) change it toorder_num. Also, remember to change columnTYPEas required.
– GT.
Sep 15 '16 at 23:58
add a comment |
up vote
12
down vote
There is a second approach, which I found here (from mmatt). Basically you call a function within Postgres (last argument specifies the number of columns).
select load_csv_file('myTable','C:/MyPath/MyFile.csv',24)
Here is mmatt's function code, which I had to modify slightly, because I am working on the public schema. (copy&paste into PgAdmin SQL Editor and run it to create the function)
CREATE OR REPLACE FUNCTION load_csv_file(
target_table text,
csv_path text,
col_count integer)
RETURNS void AS
$BODY$
declare
iter integer; -- dummy integer to iterate columns with
col text; -- variable to keep the column name at each iteration
col_first text; -- first column name, e.g., top left corner on a csv file or spreadsheet
begin
set schema 'public';
create table temp_table ();
-- add just enough number of columns
for iter in 1..col_count
loop
execute format('alter table temp_table add column col_%s text;', iter);
end loop;
-- copy the data from csv file
execute format('copy temp_table from %L with delimiter '','' quote ''"'' csv ', csv_path);
iter := 1;
col_first := (select col_1 from temp_table limit 1);
-- update the column names based on the first row which has the column names
for col in execute format('select unnest(string_to_array(trim(temp_table::text, ''()''), '','')) from temp_table where col_1 = %L', col_first)
loop
execute format('alter table temp_table rename column col_%s to %s', iter, col);
iter := iter + 1;
end loop;
-- delete the columns row
execute format('delete from temp_table where %s = %L', col_first, col_first);
-- change the temp table name to the name given as parameter, if not blank
if length(target_table) > 0 then
execute format('alter table temp_table rename to %I', target_table);
end if;
end;
$BODY$
LANGUAGE plpgsql VOLATILE
COST 100;
ALTER FUNCTION load_csv_file(text, text, integer)
OWNER TO postgres;
Note: There is a common issue with importing text files related to encoding. The csv file should be in UTF-8 format. However, sometimes this is not quite achieved by the programs, which try to do the encoding. I have overcome this issue by opening the file in Notepad++ and converting it to ANSI and back to UTF8.
2
This is a tidy solution. Take care to ensure that none of the columns have reserved keyword names - e.g., if the CSV file has a column calledorder(for order numbers, say) change it toorder_num. Also, remember to change columnTYPEas required.
– GT.
Sep 15 '16 at 23:58
add a comment |
up vote
12
down vote
up vote
12
down vote
There is a second approach, which I found here (from mmatt). Basically you call a function within Postgres (last argument specifies the number of columns).
select load_csv_file('myTable','C:/MyPath/MyFile.csv',24)
Here is mmatt's function code, which I had to modify slightly, because I am working on the public schema. (copy&paste into PgAdmin SQL Editor and run it to create the function)
CREATE OR REPLACE FUNCTION load_csv_file(
target_table text,
csv_path text,
col_count integer)
RETURNS void AS
$BODY$
declare
iter integer; -- dummy integer to iterate columns with
col text; -- variable to keep the column name at each iteration
col_first text; -- first column name, e.g., top left corner on a csv file or spreadsheet
begin
set schema 'public';
create table temp_table ();
-- add just enough number of columns
for iter in 1..col_count
loop
execute format('alter table temp_table add column col_%s text;', iter);
end loop;
-- copy the data from csv file
execute format('copy temp_table from %L with delimiter '','' quote ''"'' csv ', csv_path);
iter := 1;
col_first := (select col_1 from temp_table limit 1);
-- update the column names based on the first row which has the column names
for col in execute format('select unnest(string_to_array(trim(temp_table::text, ''()''), '','')) from temp_table where col_1 = %L', col_first)
loop
execute format('alter table temp_table rename column col_%s to %s', iter, col);
iter := iter + 1;
end loop;
-- delete the columns row
execute format('delete from temp_table where %s = %L', col_first, col_first);
-- change the temp table name to the name given as parameter, if not blank
if length(target_table) > 0 then
execute format('alter table temp_table rename to %I', target_table);
end if;
end;
$BODY$
LANGUAGE plpgsql VOLATILE
COST 100;
ALTER FUNCTION load_csv_file(text, text, integer)
OWNER TO postgres;
Note: There is a common issue with importing text files related to encoding. The csv file should be in UTF-8 format. However, sometimes this is not quite achieved by the programs, which try to do the encoding. I have overcome this issue by opening the file in Notepad++ and converting it to ANSI and back to UTF8.
There is a second approach, which I found here (from mmatt). Basically you call a function within Postgres (last argument specifies the number of columns).
select load_csv_file('myTable','C:/MyPath/MyFile.csv',24)
Here is mmatt's function code, which I had to modify slightly, because I am working on the public schema. (copy&paste into PgAdmin SQL Editor and run it to create the function)
CREATE OR REPLACE FUNCTION load_csv_file(
target_table text,
csv_path text,
col_count integer)
RETURNS void AS
$BODY$
declare
iter integer; -- dummy integer to iterate columns with
col text; -- variable to keep the column name at each iteration
col_first text; -- first column name, e.g., top left corner on a csv file or spreadsheet
begin
set schema 'public';
create table temp_table ();
-- add just enough number of columns
for iter in 1..col_count
loop
execute format('alter table temp_table add column col_%s text;', iter);
end loop;
-- copy the data from csv file
execute format('copy temp_table from %L with delimiter '','' quote ''"'' csv ', csv_path);
iter := 1;
col_first := (select col_1 from temp_table limit 1);
-- update the column names based on the first row which has the column names
for col in execute format('select unnest(string_to_array(trim(temp_table::text, ''()''), '','')) from temp_table where col_1 = %L', col_first)
loop
execute format('alter table temp_table rename column col_%s to %s', iter, col);
iter := iter + 1;
end loop;
-- delete the columns row
execute format('delete from temp_table where %s = %L', col_first, col_first);
-- change the temp table name to the name given as parameter, if not blank
if length(target_table) > 0 then
execute format('alter table temp_table rename to %I', target_table);
end if;
end;
$BODY$
LANGUAGE plpgsql VOLATILE
COST 100;
ALTER FUNCTION load_csv_file(text, text, integer)
OWNER TO postgres;
Note: There is a common issue with importing text files related to encoding. The csv file should be in UTF-8 format. However, sometimes this is not quite achieved by the programs, which try to do the encoding. I have overcome this issue by opening the file in Notepad++ and converting it to ANSI and back to UTF8.
edited May 23 '17 at 11:46
Community♦
11
11
answered Jan 19 '16 at 18:45
Wolfi
58767
58767
2
This is a tidy solution. Take care to ensure that none of the columns have reserved keyword names - e.g., if the CSV file has a column calledorder(for order numbers, say) change it toorder_num. Also, remember to change columnTYPEas required.
– GT.
Sep 15 '16 at 23:58
add a comment |
2
This is a tidy solution. Take care to ensure that none of the columns have reserved keyword names - e.g., if the CSV file has a column calledorder(for order numbers, say) change it toorder_num. Also, remember to change columnTYPEas required.
– GT.
Sep 15 '16 at 23:58
2
2
This is a tidy solution. Take care to ensure that none of the columns have reserved keyword names - e.g., if the CSV file has a column called
order (for order numbers, say) change it to order_num. Also, remember to change column TYPE as required.– GT.
Sep 15 '16 at 23:58
This is a tidy solution. Take care to ensure that none of the columns have reserved keyword names - e.g., if the CSV file has a column called
order (for order numbers, say) change it to order_num. Also, remember to change column TYPE as required.– GT.
Sep 15 '16 at 23:58
add a comment |
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