lib/sql_io.py: append_csv(): support importing CSVs whose columns are a subset of the full table and/or in a different order. when the header exactly matches the columns, the explicit column list will still be omitted as an optimization. this uses code from r4927.

bugfix: lib/runscripts/util.run: need to include sh/make.sh for all runscripts that use make-style commands

*{.sh,run}: use new top_make instead of `make --directory="$top_dir"`

lib/sh/make.sh: added top_make()

inputs/import.stats.xls: Postprocessing: populated entries for analytical DB for last 4 imports, and for backup, backup test for last import. note that the combined import time for the last import is 3.5 days, compared to 3 days for the column-based import portion.

inputs/import.stats.xls: Postprocessing: added (empty) entries for analytical DB, backup, backup test

inputs/GBIF/Specimen/postprocess.sql, inputs/REMIB/Specimen/postprocess.sql: updated for providers in r9459, which adds TEX

inputs/*/*/postprocess.sql: Remove institutions that we have direct data for: query to obtain list: updated for current schema

inputs/import.stats.xls: Updated import times. GBIF has been refreshed (with the range modeling column subset), and column-based import now takes 3 days for 88.4 million rows.

README.TXT: Full database import: added warning to perform every single step listed, to avoid breaking column-based import