[
https://issues.apache.org/jira/browse/MADLIB-1089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Frank McQuillan updated MADLIB-1089:
------------------------------------
Description:
Running install-check on a non-default schema in HAWQ 2.2 results in errors for
lining and means.
{code}
MADlib version: 1.10.0, git revision: rel/v1.9.1-58-ga3863b6, cmake
configuration time: Wed Mar 8 19:49:45 UTC 2017, build type: Release, bui
ld system: Linux-2.6.18-238.27.1.el5.hotfix.bz516490, C compiler: gcc 4.4.0,
C++ compiler: g++ 4.4.0
PostgreSQL 8.2.15 (Greenplum Database 4.2.0 build 1) (HAWQ 2.2.0.0 build 4141)
on x86_64-unknown-linux-gnu, compiled by GCC gcc (GCC) 4.8.5 20
150623 (Red Hat 4.8.5-11) compiled on Mar 30 2017 21:45:26
{code}
See attached log files and summaries below:
linalg.sql_in
{code}
psql:/tmp/madlib.sGu72l/linalg/test/linalg.sql_in.tmp:165: ERROR: Function
"closest_column(double precision[],double precision[],text)": Inval
id distance metric provided: madlib1.squared_dist_norm2. Currently only madlib
provided distance functions are supported.
{code}
kmeans.sql_in
{code}
psql:/tmp/madlib.sGu72l/kmeans/test/kmeans.sql_in.tmp:117: ERROR:
plpy.SPIError: Function "closest_column(double precision[],double precision[
],text)": Invalid distance metric provided: madlib1.squared_dist_norm2.
Currently only madlib provided distance functions are supported. (seg1
ip-10-32-127-188.ore6.vpc.pivotal.io:40000 pid=483012) (plpython.c:4663)
CONTEXT: Traceback (most recent call last):
PL/Python function "internal_compute_kmeanspp_seeding", line 22, in <module>
return kmeans.compute_kmeanspp_seeding(**globals())
PL/Python function "internal_compute_kmeanspp_seeding", line 154, in
compute_kmeanspp_seeding
PL/Python function "internal_compute_kmeanspp_seeding", line 415, in update
PL/Python function "internal_compute_kmeanspp_seeding"
SQL statement "SELECT ( SELECT madlib1.internal_compute_kmeanspp_seeding(
'_madlib_kmeanspp_args', '_madlib_kmeanspp_state', textin(regclassou
t( $1 )), $2 ) )"
PL/pgSQL function "kmeanspp_seeding" line 83 at assignment
SQL statement "SELECT madlib1.kmeans( $1 , $2 , madlib1.kmeanspp_seeding( $1
, $2 , $3 , $4 , NULL, $5 ), $4 , $6 , $7 , $8 )"
PL/pgSQL function "kmeanspp" line 4 at assignment
SQL statement "SELECT madlib1.kmeanspp( $1 , $2 , $3 ,
'madlib1.squared_dist_norm2'::VARCHAR, 'madlib1.avg'::VARCHAR, 20::INTEGER,
0.001::DO
UBLE PRECISION, 1.0::DOUBLE PRECISION)"
PL/pgSQL function "kmeanspp" line 4 at assignment
{code}
was:
Running install-check on a non-default schema in HAWQ 2.2 results in errors for
lining and means.
{code}
MADlib version: 1.10.0, git revision: rel/v1.9.1-58-ga3863b6, cmake
configuration time: Wed Mar 8 19:49:45 UTC 2017, build type: Release, bui
ld system: Linux-2.6.18-238.27.1.el5.hotfix.bz516490, C compiler: gcc 4.4.0,
C++ compiler: g++ 4.4.0
PostgreSQL 8.2.15 (Greenplum Database 4.2.0 build 1) (HAWQ 2.2.0.0 build 4141)
on x86_64-unknown-linux-gnu, compiled by GCC gcc (GCC) 4.8.5 20
150623 (Red Hat 4.8.5-11) compiled on Mar 30 2017 21:45:26
{code}
See attached log files and summaries below:
linalg.sql_in
psql:/tmp/madlib.sGu72l/linalg/test/linalg.sql_in.tmp:165: ERROR: Function
"closest_column(double precision[],double precision[],text)": Inval
id distance metric provided: madlib1.squared_dist_norm2. Currently only madlib
provided distance functions are supported.
kmeans.sql_in
psql:/tmp/madlib.sGu72l/kmeans/test/kmeans.sql_in.tmp:117: ERROR:
plpy.SPIError: Function "closest_column(double precision[],double precision[
],text)": Invalid distance metric provided: madlib1.squared_dist_norm2.
Currently only madlib provided distance functions are supported. (seg1
ip-10-32-127-188.ore6.vpc.pivotal.io:40000 pid=483012) (plpython.c:4663)
CONTEXT: Traceback (most recent call last):
PL/Python function "internal_compute_kmeanspp_seeding", line 22, in <module>
return kmeans.compute_kmeanspp_seeding(**globals())
PL/Python function "internal_compute_kmeanspp_seeding", line 154, in
compute_kmeanspp_seeding
PL/Python function "internal_compute_kmeanspp_seeding", line 415, in update
PL/Python function "internal_compute_kmeanspp_seeding"
SQL statement "SELECT ( SELECT madlib1.internal_compute_kmeanspp_seeding(
'_madlib_kmeanspp_args', '_madlib_kmeanspp_state', textin(regclassou
t( $1 )), $2 ) )"
PL/pgSQL function "kmeanspp_seeding" line 83 at assignment
SQL statement "SELECT madlib1.kmeans( $1 , $2 , madlib1.kmeanspp_seeding( $1
, $2 , $3 , $4 , NULL, $5 ), $4 , $6 , $7 , $8 )"
PL/pgSQL function "kmeanspp" line 4 at assignment
SQL statement "SELECT madlib1.kmeanspp( $1 , $2 , $3 ,
'madlib1.squared_dist_norm2'::VARCHAR, 'madlib1.avg'::VARCHAR, 20::INTEGER,
0.001::DO
UBLE PRECISION, 1.0::DOUBLE PRECISION)"
PL/pgSQL function "kmeanspp" line 4 at assignment
> Install check errors on HAWQ 2.2 when install MADlib on non-default schema
> --------------------------------------------------------------------------
>
> Key: MADLIB-1089
> URL: https://issues.apache.org/jira/browse/MADLIB-1089
> Project: Apache MADlib
> Issue Type: Bug
> Components: All Modules
> Reporter: Frank McQuillan
> Fix For: v1.11
>
>
> Running install-check on a non-default schema in HAWQ 2.2 results in errors
> for lining and means.
> {code}
> MADlib version: 1.10.0, git revision: rel/v1.9.1-58-ga3863b6, cmake
> configuration time: Wed Mar 8 19:49:45 UTC 2017, build type: Release, bui
> ld system: Linux-2.6.18-238.27.1.el5.hotfix.bz516490, C compiler: gcc 4.4.0,
> C++ compiler: g++ 4.4.0
> PostgreSQL 8.2.15 (Greenplum Database 4.2.0 build 1) (HAWQ 2.2.0.0 build
> 4141) on x86_64-unknown-linux-gnu, compiled by GCC gcc (GCC) 4.8.5 20
> 150623 (Red Hat 4.8.5-11) compiled on Mar 30 2017 21:45:26
> {code}
> See attached log files and summaries below:
> linalg.sql_in
> {code}
> psql:/tmp/madlib.sGu72l/linalg/test/linalg.sql_in.tmp:165: ERROR: Function
> "closest_column(double precision[],double precision[],text)": Inval
> id distance metric provided: madlib1.squared_dist_norm2. Currently only
> madlib provided distance functions are supported.
> {code}
> kmeans.sql_in
> {code}
> psql:/tmp/madlib.sGu72l/kmeans/test/kmeans.sql_in.tmp:117: ERROR:
> plpy.SPIError: Function "closest_column(double precision[],double precision[
> ],text)": Invalid distance metric provided: madlib1.squared_dist_norm2.
> Currently only madlib provided distance functions are supported. (seg1
> ip-10-32-127-188.ore6.vpc.pivotal.io:40000 pid=483012) (plpython.c:4663)
> CONTEXT: Traceback (most recent call last):
> PL/Python function "internal_compute_kmeanspp_seeding", line 22, in <module>
> return kmeans.compute_kmeanspp_seeding(**globals())
> PL/Python function "internal_compute_kmeanspp_seeding", line 154, in
> compute_kmeanspp_seeding
> PL/Python function "internal_compute_kmeanspp_seeding", line 415, in update
> PL/Python function "internal_compute_kmeanspp_seeding"
> SQL statement "SELECT ( SELECT madlib1.internal_compute_kmeanspp_seeding(
> '_madlib_kmeanspp_args', '_madlib_kmeanspp_state', textin(regclassou
> t( $1 )), $2 ) )"
> PL/pgSQL function "kmeanspp_seeding" line 83 at assignment
> SQL statement "SELECT madlib1.kmeans( $1 , $2 , madlib1.kmeanspp_seeding(
> $1 , $2 , $3 , $4 , NULL, $5 ), $4 , $6 , $7 , $8 )"
> PL/pgSQL function "kmeanspp" line 4 at assignment
> SQL statement "SELECT madlib1.kmeanspp( $1 , $2 , $3 ,
> 'madlib1.squared_dist_norm2'::VARCHAR, 'madlib1.avg'::VARCHAR, 20::INTEGER,
> 0.001::DO
> UBLE PRECISION, 1.0::DOUBLE PRECISION)"
> PL/pgSQL function "kmeanspp" line 4 at assignment
> {code}
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