Hi, I'm not sure if this is the correct group for this question, but
I'll post it hoping that it is.
I'm loading several ~15 million row files into a table using the COPY
command. Apparently one of the rows, about 6 million in, has an invalid
entry. This is causing the COPY command to fail, so my question is this:
Is there any way to skip invalid rows? Or send them to a separate log
file etc to go through later?
I've gone through the docs, but I didn't see anything specific to this.
Any information, links, or hints are greatly appreciated.
Cheers!
Bricklen
4  1617 
On Fri, Jun 04, 2004 at 14:11:19 +0000,
Bricklen <br**********@yahoo.comz> wrote: Hi, I'm not sure if this is the correct group for this question, but
I'll post it hoping that it is.
I'm loading several ~15 million row files into a table using the COPY
command. Apparently one of the rows, about 6 million in, has an invalid
entry. This is causing the COPY command to fail, so my question is this:
Is there any way to skip invalid rows? Or send them to a separate log
file etc to go through later?
I've gone through the docs, but I didn't see anything specific to this.
Any information, links, or hints are greatly appreciated.
Currently there isn't a builtin way to do this. You can pass the data
through a filter script that removes rows that are not in a proper format.
---------------------------(end of broadcast)---------------------------
TIP 6: Have you searched our list archives? http://archives.postgresql.org
On Fri, Jun 04, 2004 at 14:11:19 +0000,
Bricklen <br**********@yahoo.comz> wrote: Hi, I'm not sure if this is the correct group for this question, but
I'll post it hoping that it is.
I'm loading several ~15 million row files into a table using the COPY
command. Apparently one of the rows, about 6 million in, has an invalid
entry. This is causing the COPY command to fail, so my question is this:
Is there any way to skip invalid rows? Or send them to a separate log
file etc to go through later?
I've gone through the docs, but I didn't see anything specific to this.
Any information, links, or hints are greatly appreciated.
Currently there isn't a builtin way to do this. You can pass the data
through a filter script that removes rows that are not in a proper format.
---------------------------(end of broadcast)---------------------------
TIP 6: Have you searched our list archives? http://archives.postgresql.org
Bruno Wolff III wrote: On Fri, Jun 04, 2004 at 14:11:19 +0000,
Bricklen <br**********@yahoo.comz> wrote:
Hi, I'm not sure if this is the correct group for this question, but
I'll post it hoping that it is.
I'm loading several ~15 million row files into a table using the COPY
command. Apparently one of the rows, about 6 million in, has an invalid
entry. This is causing the COPY command to fail, so my question is this:
Is there any way to skip invalid rows? Or send them to a separate log
file etc to go through later?
I've gone through the docs, but I didn't see anything specific to this.
Any information, links, or hints are greatly appreciated.
Currently there isn't a builtin way to do this. You can pass the data
through a filter script that removes rows that are not in a proper format.
Thanks for the clarification!
Cheers,
Bricklen
Bruno Wolff III wrote: On Fri, Jun 04, 2004 at 14:11:19 +0000,
Bricklen <br**********@yahoo.comz> wrote:
Hi, I'm not sure if this is the correct group for this question, but
I'll post it hoping that it is.
I'm loading several ~15 million row files into a table using the COPY
command. Apparently one of the rows, about 6 million in, has an invalid
entry. This is causing the COPY command to fail, so my question is this:
Is there any way to skip invalid rows? Or send them to a separate log
file etc to go through later?
I've gone through the docs, but I didn't see anything specific to this.
Any information, links, or hints are greatly appreciated.
Currently there isn't a builtin way to do this. You can pass the data
through a filter script that removes rows that are not in a proper format.
Thanks for the clarification!
Cheers,
Bricklen This thread has been closed and replies have been disabled. Please start a new discussion. Similar topics
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