[GRASS-user] Error while executing: 'CREATE TEMPORARY TABLE...

Thu Mar 14 01:11:37 PDT 2019

Hi Jamille,

just for couriosity. How many columns holds the vectorset?

In fact from a database perspective I would rather choose to keep only geometry-related data or metadata direct with the vectorset. Concerning the column names I would suspect there rather should be a bunch of attribute tables to join to the vectorset. From a database perspective one usualy tries to normalize the database structure, i.e. break down tables to avoid redundancies.

For example names like DV2_median, DV4_median, IDM2_median, IDM4_median seem to me as you could create 4 separate tables each with a column "median" (and other columns like "first_quart" an so on). Then you join the tables by a key-column (most probably "cat").

In that case you avoid probable redundancies and keep tables small which results in avoiding DB-driver issues because of to small query-(/command-)buffer, respective datatype restrictions (of the buffer). Which seems the cause of your actual troubles.

If that could be a feasible approach in your case it might avoid what you described.

Best regards.

Stefan

> Jamille Haarloo <j.r.haarloo at gmail.com> hat am 14. März 2019 um 03:44 geschrieben:
> 
>     Just tested:
> 
>     (Wed Mar 13 23:42:59 2019)                                                      
>     v.db.dropcolumn map=nvTrainingset_new2019 at LUP1 columns=Uitleg2,SegUitleg,x22kcluster,x12kcluster,x17kcluster,x8kcluster,xkcluster
>     ERROR: Error while executing: 'CREATE TEMPORARY TABLE nvTrainingset_new2019_backup(cat INTEGER, compact_circle DOUBLE PRECISION, DV2_mean DOUBLE PRECISION, DV2_stddev DOUBLE PRECISION, DV2_variance DOUBLE PRECISION, DV2_coeff_var DOUBLE PRECISION, DV2_first_quart DOUBLE PRECISION, DV2_median DOUBLE PRECISION, DV2_third_quart DOUBLE PRECISION, DV2_perc_90 DOUBLE PRECISION, DV4_mean DOUBLE PRECISION, DV4_stddev DOUBLE PRECISION, DV4_variance DOUBLE PRECISION, DV4_coeff_var DOUBLE PRECISION, DV4_first_quart DOUBLE PRECISION, DV4_median DOUBLE PRECISION, DV4_third_quart DOUBLE PRECISION, DV4_perc_90 DOUBLE PRECISION, IDM2_mean DOUBLE PRECISION, IDM2_stddev DOUBLE PRECISION, IDM2_variance DOUBLE PRECISION, IDM2_coeff_var DOUBLE PRECISION, IDM2_first_quart DOUBLE PRECISION, IDM2_median DOUBLE PRECISION, IDM2_third_quart DOUBLE PRECISION, IDM2_perc_90 DOUBLE PRECISION, IDM4_mean DOUBLE PRECISION, IDM4_stddev DOUBLE PRECISION, IDM4_variance DOUBLE PRECISION, IDM4_coeff_var DOUBLE PRECISION, IDM4_first_quart DOUBLE PRECISION, IDM4_median DOUBLE PRECISION, IDM4_third_quart DOUBLE PRECISION, IDM4_perc_90 DOUBLE PRECISION, W2_mean DOUBLE PRECISION, W2_stddev DOUBLE PRECISION, W2_variance DOUBLE PRECISION, W2_coeff_var DOUBLE PRECISION, W2_first_quart DOUBLE PRECISION, W2_median DOUBLE PRECISION, W2_third_quart DOUBLE PRECISION, W2_perc_90 DOUBLE PRECISION, W4_mean DOUBLE PRECISION, W4_stddev DOUBLE PRECISION, W4_variance DOUBLE PRECISION, W4_coeff_var DOUBLE PRECISION, W4_first_quart DOUBLE PRECISION, W4_median DOUBLE PRECISION, W4_third_quart DOUBLE PRECISION, W4_perc_90 DOUBLE PRECISION, neighbors_count DOUBLE PRECISION, compact_circle_nbrmean DOUBLE PRECISION, compact_circle_nbrstddev DOUBLE PRECISION, DV2_mean_nbrmean DOUBLE PRECISION, DV2_mean_nbrstddev DOUBLE PRECISION, DV2_stddev_nbrmean DOUBLE PRECISION, DV2_stddev_nbrstddev DOUBLE PRECISION, DV2_variance_nbrmean DOUBLE PRECISION, DV2_variance_nbrstddev DOUBLE PRECISION, DV2_coeff_var_nbrmean DOUBLE PRECISION, DV2_coeff_var_nbrstddev DOUBLE PRECISION, DV2_first_quart_nbrmean DOUBLE PRECISION, DV2_first_quart_nbrstddev DOUBLE PRECISION, DV2_median_nbrmean DOUBLE PRECISION, DV2_median_nbrstddev DOUBLE PRECISION, DV2_third_quart_nbrmean DOUBLE PRECISION, DV2_third_quart_nbrstddev DOUBLE PRECISION, DV2_perc_90_nbrmean DOUBLE PRECISION, DV2_perc_90_nbrstddev DOUBLE PRECISION, DV4_mean_nbrmean DOUBLE PRECISION, DV4_mean_nbrstddev DOUBLE PRECISION, DV4_stddev_nbrmean DOUBLE PRECISION, DV4_stddev_nbrstddev DOUBLE PRECISION, DV4_variance_nbrmean DOUBLE PRECISION, DV4_variance_nbrstddev DOUBLE PRECISION, DV4_coeff_var_nbrmean DOUBLE PRECISION, DV4_coeff_var_nbrstddev DOUBLE PRECISION, DV4_first_quart_nbrmean DOUBLE PRECISION, DV4_first_quart_nbrstddev DOUBLE PRECISION, DV4_median_nbrmean DOUBLE PRECISION, DV4_median_nbrstddev DOUBLE PRECISION, DV4_third_quart_nbrmean DOUBLE PRECISION, DV4_third_quart_nbrstddev DOUBLE PRECISION, DV4_perc_90_nbrmean DOUBLE PRECISION, DV4_perc_90_nbrstddev DOUBLE PRECISION, IDM2_mean_nbrmean DOUBLE PRECISION, IDM2_mean_nbrstddev DOUBLE PRECISION, IDM2_stddev_nbrmean DOUBLE PRECISION, IDM2_stddev_nbrstddev DOUBLE PRECISION, IDM2_variance_nbrmean DOUBLE PRECISION, IDM2_variance_nbrstddev DOUBLE PRECISION, IDM2_coeff_var_nbrmean DOUBLE PRECISION, IDM2_coeff_var_nbrstddev DOUBLE PRECISION, IDM2_first_quart_nbrmean DOUBLE PRECISION, IDM2_first_quart_nbrstddev DOUBLE PRECISION, IDM2_median_nbrmean DOUBLE PRECISION, IDM2_median_nbrstddev DOUBLE PRECISION, IDM2_third_quart_nbrmean DOUBLE PRECISION, IDM2_third_quart_nbrstddev DOUBLE PRECISION, IDM2_perc_90_nbrmean DOUBLE PRECISION, IDM2_perc_90_nbrstddev DOUBLE PRECISION, IDM4_mean_nbrmean DOUBLE PRECISION, IDM4_mean_nbrstddev DOUBLE PRECISION, IDM4_stddev_nbrmean DOUBLE PRECISION, IDM4_stddev_nbrstddev DOUBLE PRECISION, IDM4_variance_nbrmean DOUBLE PRECISION, IDM4_variance_nbrstddev DOUBLE PRECISION, IDM4_coeff_var_nbrmean DOUBLE PRECISION, IDM4_coeff_var_nbrstddev DOUBLE PRECISION, IDM4_first_quart_nbrmean DOUBLE PRECISION, IDM4_first_quart_nbrstddev DOUBLE PRECISION, IDM4_median_nbrmean
>     DOUBLE PRECISION, IDM4_median_nbrstddev DOUBLE PRECIS'
>     ERROR: Deleting column failed
> 
>     On Fri, Mar 8, 2019 at 4:25 PM Markus Metz < markus.metz.giswork at gmail.com mailto:markus.metz.giswork at gmail.com > wrote:
> 
>         > > 
> > 
> >         On Thu, Mar 7, 2019 at 6:35 PM Markus Neteler < neteler at osgeo.org mailto:neteler at osgeo.org > wrote:
> >         >
> >         > Hi,
> >         >
> >         > On Sat, Feb 16, 2019 at 12:28 AM Jamille Haarloo < j.r.haarloo at gmail.com mailto:j.r.haarloo at gmail.com > wrote:
> >         > >
> >         > > Dear Grass community,
> >         > >
> >         > > I don't have any success with removal of columns from a vector file I am working with, while adding columns has not been a problem.
> >         > >
> >         > > output:
> >         > > v.db.dropcolumn map=nvTrainingset_test2019_clean at LUP1 columns=code
> >         > > ERROR: Error while executing: 'CREATE TEMPORARY TABLE nvTrainingset_test2019_clean_backup(cat INTEGER, compact_circle DOUBLE PRECISION, DV2_mean DOUBLE PRECISION, DV2_stddev DOUBLE PRECISION, DV2_variance DOUBLE PRECISION, DV2_coeff_var DOUBLE PRECISION, DV2_first_quart DOUBLE PRECISION, DV2_median DOUBLE PRECISION, DV2_third_quart DOUBLE PRECISION, DV2_perc_90 DOUBLE PRECISION, DV4_mean DOUBLE PRECISION, DV4_stddev DOUBLE PRECISION, DV4_variance DOUBLE PRECISION, DV4_coeff_var DOUBLE PRECISION, DV4_first_quart DOUBLE PRECISION, DV4_median DOUBLE PRECISION, DV4_third_quart DOUBLE PRECISION, DV4_perc_90 DOUBLE PRECISION, IDM2_mean DOUBLE PRECISION, IDM2_stddev DOUBLE PRECISION, IDM2_variance DOUBLE PRECISION, IDM2_coeff_var DOUBLE PRECISION, IDM2_first_quart DOUBLE PRECISION, IDM2_median DOUBLE PRECISION, IDM2_third_quart DOUBLE PRECISION, IDM2_perc_90 DOUBLE PRECISION, IDM4_mean DOUBLE PRECISION, IDM4_stddev DOUBLE PRECISION, IDM4_variance DOUBLE PRECISION, IDM4_coeff_var DOUBLE PRECISION, IDM4_first_quart DOUBLE PRECISION, IDM4_median DOUBLE PRECISION, IDM4_third_quart DOUBLE PRECISION, IDM4_perc_90 DOUBLE PRECISION, W2_mean DOUBLE PRECISION, W2_stddev DOUBLE PRECISION, W2_variance DOUBLE PRECISION, W2_coeff_var DOUBLE PRECISION, W2_first_quart DOUBLE PRECISION, W2_median DOUBLE PRECISION, W2_third_quart DOUBLE PRECISION, W2_perc_90 DOUBLE PRECISION, W4_mean DOUBLE PRECISION, W4_stddev DOUBLE PRECISION, W4_variance DOUBLE PRECISION, W4_coeff_var DOUBLE PRECISION, W4_first_quart DOUBLE PRECISION, W4_median DOUBLE PRECISION, W4_third_quart DOUBLE PRECISION, W4_perc_90 DOUBLE PRECISION, neighbors_count DOUBLE PRECISION, compact_circle_nbrmean DOUBLE PRECISION, compact_circle_nbrstddev DOUBLE PRECISION, DV2_mean_nbrmean DOUBLE PRECISION, DV2_mean_nbrstddev DOUBLE PRECISION, DV2_stddev_nbrmean DOUBLE PRECISION, DV2_stddev_nbrstddev DOUBLE PRECISION, DV2_variance_nbrmean DOUBLE PRECISION, DV2_variance_nbrstddev DOUBLE PRECISION, DV2_coeff_var_nbrmean DOUBLE PRECISION, DV2_coeff_var_nbrstddev DOUBLE PRECISION, DV2_first_quart_nbrmean DOUBLE PRECISION, DV2_first_quart_nbrstddev DOUBLE PRECISION, DV2_median_nbrmean DOUBLE PRECISION, DV2_median_nbrstddev DOUBLE PRECISION, DV2_third_quart_nbrmean DOUBLE PRECISION, DV2_third_quart_nbrstddev DOUBLE PRECISION, DV2_perc_90_nbrmean DOUBLE PRECISION, DV2_perc_90_nbrstddev DOUBLE PRECISION, DV4_mean_nbrmean DOUBLE PRECISION, DV4_mean_nbrstddev DOUBLE PRECISION, DV4_stddev_nbrmean DOUBLE PRECISION, DV4_stddev_nbrstddev DOUBLE PRECISION, DV4_variance_nbrmean DOUBLE PRECISION, DV4_variance_nbrstddev DOUBLE PRECISION, DV4_coeff_var_nbrmean DOUBLE PRECISION, DV4_coeff_var_nbrstddev DOUBLE PRECISION, DV4_first_quart_nbrmean DOUBLE PRECISION, DV4_first_quart_nbrstddev DOUBLE PRECISION, DV4_median_nbrmean DOUBLE PRECISION, DV4_median_nbrstddev DOUBLE PRECISION, DV4_third_quart_nbrmean DOUBLE PRECISION, DV4_third_quart_nbrstddev DOUBLE PRECISION, DV4_perc_90_nbrmean DOUBLE PRECISION, DV4_perc_90_nbrstddev DOUBLE PRECISION, IDM2_mean_nbrmean DOUBLE PRECISION, IDM2_mean_nbrstddev DOUBLE PRECISION, IDM2_stddev_nbrmean DOUBLE PRECISION, IDM2_stddev_nbrstddev DOUBLE PRECISION, IDM2_variance_nbrmean DOUBLE PRECISION, IDM2_variance_nbrstddev DOUBLE PRECISION, IDM2_coeff_var_nbrmean DOUBLE PRECISION, IDM2_coeff_var_nbrstddev DOUBLE PRECISION, IDM2_first_quart_nbrmean DOUBLE PRECISION, IDM2_first_quart_nbrstddev DOUBLE PRECISION, IDM2_median_nbrmean DOUBLE PRECISION, IDM2_median_nbrstddev DOUBLE PRECISION, IDM2_third_quart_nbrmean DOUBLE PRECISION, IDM2_third_quart_nbrstddev DOUBLE PRECISION, IDM2_perc_90_nbrmean DOUBLE PRECISION, IDM2_perc_90_nbrstddev DOUBLE PRECISION, IDM4_mean_nbrmean DOUBLE PRECISION, IDM4_mean_nbrstddev DOUBLE PRECISION, IDM4_stddev_nbrmean DOUBLE PRECISION, IDM4_stddev_nbrstddev DOUBLE PRECISION, IDM4_variance_nbrmean DOUBLE PRECISION, IDM4_variance_nbrstddev DOUBLE PRECISION, IDM4_coeff_var_nbrmean DOUBLE PRECISION, IDM4_coeff_var_nbrstddev DOUBLE PRECISION, IDM4_first_quart_nbrmean DOUBLE PRECISION, IDM4_first_quart_nbrstddev DOUBLE PRECISION, IDM4_median_n
> >         > > brmean DOUBLE PRECISION, IDM4_median_nbrstddev DOUBLE'
> >         > > ERROR: Deleting column failed
> >         > >
> >         > > Any suggestions?
> >         >
> >         > I used "wc -c" to count the length of the string: it is 4096 characters.
> >         >
> >         > Which DB driver do you use? It seems to be a limitation in the driver
> >         > communication, i.e. the buffer is limited.
> > 
> >         The db SQL buffer has been enlarged in trunk r74189 and relbr76 r74190.
> > 
> >         Please test!
> > 
> >         Markus M
> >         >
> >         > Markus
> >         > _______________________________________________
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> > 
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