I'm very confused about this error I'm getting in my Query Tool in PgAdmin. I've been working on this for days, and cannot find a solution to fixing this error when attempting to upload this csv file to my Postgres table.
ERROR: invalid input syntax for type numeric: "2021-02-14"
CONTEXT: COPY CardData, line 2, column sold_price: "2021-02-14"
SQL state: 22P02
Here is my code in the Query Tool that I am running
CREATE TABLE Public."CardData"(Title text, Sold_Price decimal, Bids int, Sold_Date date, Card_Link text, Image_Link text)
select * from Public."CardData"
COPY Public."CardData" FROM 'W:\Python_Projects\cardscrapper_project\ebay_api\card_data_test.csv' DELIMITER ',' CSV HEADER ;
Here is a sample from the first row of my csv file.
Title,Sold_Date,Sold_Price,Bids,Card_Link,Image_Link
2018 Contenders Optic Sam Darnold #103 Red Rookie #/99 PSA 8 NM-MT AUTO 10,2021-02-14,104.5,26,https://www.ebay.com/itm/2018-Contenders-Optic-Sam-Darnold-103-Red-Rookie-99-PSA-8-NM-MT-AUTO-10/143935698791?hash=item21833c7767%3Ag%3AjewAAOSwNb9gGEvi&LH_Auction=1,https://i.ebayimg.com/thumbs/images/g/jewAAOSwNb9gGEvi/s-l225.jpg
The "Sold_Date" column is in the correct datetime format that is easy for Postgres to understand, but the error is calling on the "Sold-Price" column?
I'm very confused. Any help is greatly appreciated.
Notice that the columns are not in the same order in the csv file and in the table.
You would have to specify the proper column order
COPY Public."CardData" (Title,Sold_Date,Sold_Price,Bids,Card_Link,Image_Link)
FROM 'W:\Python_Projects\cardscrapper_project\ebay_api\card_data_test.csv'
DELIMITER ',' CSV HEADER ;
You have created the table with sold_price as the second column, so the COPY command will expect a price/number to be the second column in your CSV file. Your CSV file, however has sold_date as the second column, which will lead to the data type mismatch error that you see.
Either you can re-define your CREATE TABLE statement with the sold_date as second column and sold_price as 4th column, or you can specify the column parsing order in your COPY statement as COPY public."CardData" (<column order>)
Another option is to open up the CSV file in Excel and re-order the columns and do a Save As...
Related
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;
I am using Postgres 9.5.3(On Ubuntu 16.04) and I have a table with some timestamptz fields
...
datetime_received timestamptz NULL,
datetime_manufactured timestamptz NULL,
...
I used the following SQL command to generate CSV file:
COPY (select * from tmp_table limit 100000) TO '/tmp/aa.csv' DELIMITER ';' CSV HEADER;
and used:
COPY tmp_table FROM '/tmp/aa.csv' DELIMITER ';' CSV ENCODING 'UTF-8';
to import into the table.
The example of rows in the CSV file:
CM0030;;INV_AVAILABLE;2016-07-30 14:50:42.141+07;;2016-08-06 00:00:000+07;FAHCM00001;;123;;;;;1.000000;1.000000;;;;;;;;80000.000000;;;2016-07-30 14:59:08.959+07;2016-07-30 14:59:08.959+07;2016-07-30 14:59:08.959+07;2016-07-30 14:59:08.959+07;
But I encounter the following error when running the second command:
ERROR: invalid input syntax for type timestamp with time zone: "datetime_received"
CONTEXT: COPY inventory_item, line 1, column datetime_received: "datetime_received"
My database's timezone is:
show timezone;
TimeZone
-----------
localtime(GMT+7)
(1 row)
Is there any missing step or wrong configuration?
Any suggestions are appreciated!
The error you're seeing means that Postgres is trying (and failing) to convert the string 'datetime_received' to a timestamp value.
This is happening because COPY is trying to insert the header row into your table. You need to include a HEADER clause on the COPY FROM command, just like you did for the COPY TO.
More generally, when using COPY to move data around, you should make sure that the TO and FROM commands are using exactly the same options. Specifying ENCODING for one command and not the other can lead to errors, or silently corrupt data, if your client encoding is not UTF8.
I've come across a problem with loading some CSV files into my Postgres tables. I have data that looks like this:
ID,IS_ALIVE,BODY_TEXT
123,true,Hi Joe, I am looking for a new vehicle, can you help me out?
Now, the problem here is that the text in what is supposed to be the BODY_TEXT column is unstructured email data and can contain any sort of characters, and when I run the following COPY command it's failing because there are multiple , characters within the BODY_TEXT.
COPY sent from ('my_file.csv') DELIMITER ',' CSV;
How can I resolve this so that everything in the BODY_TEXT column gets loaded as-is without the load command potentially using characters within it as separators?
Additionally to the fixing the source file format you can do it by PostgreSQL itself.
Load all lines from file to temporary table:
create temporary table t (x text);
copy t from 'foo.csv';
Then you can to split each string using regexp like:
select regexp_matches(x, '^([0-9]+),(true|false),(.*)$') from t;
regexp_matches
---------------------------------------------------------------------------
{123,true,"Hi Joe, I am looking for a new vehicle, can you help me out?"}
{456,false,"Hello, honey, there is what I want to ask you."}
(2 rows)
You can use this query to load data to your destination table:
insert into sent(id, is_alive, body_text)
select x[1], x[2], x[3]
from (
select regexp_matches(x, '^([0-9]+),(true|false),(.*)$') as x
from t) t
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.