mappings/DwC2-VegBIEN.specimens.csv: Mapped institutionCode. This will enable datasources to use specimenreplicate's institution_id index for duplicate elimination.

input.Makefile: Prompt user to accept test, instead of providing command line func for doing so

schemas/vegbien.sql: specimenreplicate: UNIQUE INDEX on catalognumber_dwc: Added institution_id so that datasources that specify it (such as aggregators) will not need to have catalognumbers be globally unique. Once the institution_id is mapped to, this will fix a bug where rows with the same catalognumber were assumed to be duplicates even though they were from different institutions. This should also avoid the need to do any duplicate elimination joins when importing specimenreplicate, speeding up column-based import.

schemas/vegbien.sql: specimenreplicate: Renamed museum_id to institution_id to correspond with DwC's institutionCode, so that it would be more obvious where to map institutionCode fields to

inputs/import.stats.xls: Updated to include run times for rest of datasources for most recent column-based import

db_xml.py: put_table(): Subsetting in_table: Prepend schema to subset table name so that in pg_stat_activity, it's clear which datasource a particular query is from

sql_io.py: cast_temp_col(): add_col()'s distinguishing comment param: Add the type in case the same input column is being cast to different types, and both types have the same first word (causing their new column names to be the same)

sql_io.py: cast_temp_col(): Name the new column with only the first word of the type, to save space in the limited identifier length

strings.py: Added first_word()

sql_io.py: cast_temp_col(): Use sql_gen.suffixed_col() to create the new column name