Importing CSV file PostgreSQL using pgAdmin 4 - postgresql

Question

I'm trying to import a CSV file to my PostgreSQL but I get this error
ERROR: invalid input syntax for integer: "id;date;time;latitude;longitude"
CONTEXT: COPY test, line 1, column id: "id;date;time;latitude;longitude"
my csv file is simple
id;date;time;latitude;longitude
12980;2015-10-22;14:13:44.1430000;59,86411203;17,64274849
The table is created with the following code:
CREATE TABLE kordinater.test
(
id integer NOT NULL,
date date,
"time" time without time zone,
latitude real,
longitude real
)
WITH (
OIDS = FALSE
)
TABLESPACE pg_default;
ALTER TABLE kordinater.test
OWNER to postgres;

Answer 1

You can use Import/Export option for this task.
Right click on your table
Select "Import/Export" option & Click
Provide proper option
Click Ok button

Answer 2

You should try this it must work
COPY kordinater.test(id,date,time,latitude,longitude)
FROM 'C:\tmp\yourfile.csv' DELIMITER ',' CSV HEADER;
Your csv header must be separated by comma NOT WITH semi-colon or try to change id column type to bigint
to know more

Answer 3

I believe the quickest way to overcome this issue is to create an intermediary temporary table, so that you can import your data and cast the coordinates as you please.
Create a similar temporary table with the problematic columns as text:
CREATE TEMPORARY TABLE tmp
(
id integer,
date date,
time time without time zone,
latitude text,
longitude text
);
And import your file using COPY:
COPY tmp FROM '/path/to/file.csv' DELIMITER ';' CSV HEADER;
Once you have your data in the tmp table, you can cast the coordinates and insert them into the test table with this command:
INSERT INTO test (id, date, time, latitude, longitude)
SELECT id, date, time, replace(latitude,',','.')::numeric, replace(longitude,',','.')::numeric from tmp;
One more thing:
Since you're working with geographic coordinates, I sincerely recommend you to take a look at PostGIS. It is quite easy to install and makes your life much easier when you start your first calculations with geospatial data.