On 01/04/2017 05:00 AM, vod vos wrote:
Now I am confused about I can create 1100 columns in a table in
postgresql, but I can't copy 1100 values into the table. And I really
As pointed out previously:
https://www.postgresql.org/about/
Maximum Columns per Table 250 - 1600 depending on column types
That being dependent on both the number of columns and the actual data
in the columns. Empty columns are not the problem, it is when you start
filling them that you get the error.
dont want to split the csv file to pieces to avoid mistakes after this
action.
I create a table with 1100 columns with data type of varchar, and hope
the COPY command will auto transfer the csv data that contains some
I am afraid the solution is going to require more then hope. You are
going to need to break the data up. I suspect that just splitting it
into half would do the trick. So:
Table 1
column 1 for a primary key(assuming first column of your present data)
columns 2-550
Table 2
column 1 for a primary key(assuming first column of your present data)
columns 551-1100
Using the program I mentioned previously:
http://csvkit.readthedocs.io/en/1.0.1/scripts/csvcut.html
That translates into:
csvcut -c 1,2-550 your_big.csv > table_1.csv
csvcut -c 1,551-1100 your_big.csv > table_2.csv
character and date, most of which are numeric.
Is this a different data set?
Previously you said:
"The most of the data type are text or varhcar, ..."
I use the command: COPY rius FROM "/var/www/test/test.csv" WITH
DELIMITER ';' ;
Then it shows:
ERROR: row is too big: size 11808, maximum size 8160
---- On 星期二, 03 一月 2017 05:24:18 -0800 *John McKown
<john.archie.mckown@xxxxxxxxx>* wrote ----
On Mon, Jan 2, 2017 at 2:57 PM, Rob Sargent <robjsargent@xxxxxxxxx
<mailto:robjsargent@xxxxxxxxx>>wrote:
Perhaps this is your opportunity to correct someone else's
mistake. You need to show the table definition to convince us
that it cannot be improved. That it may be hard work really
doesn't mean it's not the right path.
This may not be possible. The data might be coming in from an
external source. I imagine you've run into the old "well, _we_ don't
have any problems, so it must be on your end!" scenario.
Example: we receive CSV files from an external source. These files
are _supposed_ to be validated. But we have often received files
where NOT NULL fields have "nothing" in them them. E.g. a customer
bill which has _everything_ in it _except_ the customer number (or
an invalid one such as "123{"); or missing some other vital piece of
information.
In this particular case, the OP might want to do what we did in a
similar case. We had way too many columns in a table. The
performance was horrible. We did an analysis and, as usual, the
majority of the selects were for a subset of the columns, about 15%
of the total. We "split" the table into the "high use" columns table
& the "low use" columns table. We then used triggers to make sure
that if we added a new / deleted an old row from one table, the
corresponding row in the other was created / deleted.
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Maranatha! <><
John McKown
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