Reputation: 666
Working in Jupyter with Python3 and psycopg2 to load csv into psql. First two columns are an ISO format I'm not too familiar with. Is there a simple data type that will accept:
2017-01-01T23:00:00-00:00
I've tried date, timestamp, timestamp w/o timezone, timestamp w/timezone. Do I need to pre-process in order to convert timestamp to friendlier format?
I thought I could do something like -
cur.execute("""
CREATE TABLE test(
id integer PRIMARY KEY,
intervalbegin_gmt timestamp,
intervalend_gmt timestamp, ...
Getting error -
DataError: invalid input syntax for integer: "2017-01-01T23:00:00-00:00"
Upvotes: 2
Views: 692
Reputation: 121604
The string is a proper timestamp input literal:
select '2017-01-01T23:00:00-00:00'::timestamp
timestamp
---------------------
2017-01-01 23:00:00
(1 row)
The problem is that you are trying to import the column into the integer column id
.
First two columns are an ISO format ...
so the table should look like this:
CREATE TABLE test(
intervalbegin_gmt timestamp,
intervalend_gmt timestamp,
...
You can add the primary key, if you need it, after copying the data.
Upvotes: 3