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https://issues.apache.org/jira/browse/MADLIB-1089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan resolved MADLIB-1089.
-------------------------------------
Resolution: Fixed
> 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
> Priority: Minor
> Fix For: v1.12
>
> Attachments: k-means-IC-fail-on-hawq-2dot2,
> linalg-IC-fail-on-hawq-2dot2
>
>
> 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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