| build_json.xlsx | ||
| coa.md | ||
| col_balance.pgsql | ||
| do_map_g_option.pgsql | ||
| do_map.pgsql | ||
| event_log.md | ||
| event_log.pgsql | ||
| LICENSE | ||
| list_maps.pgsql | ||
| loan_bal.pgsql | ||
| log.md | ||
| map_rm_template.pgsql | ||
| map_rm.pgsql | ||
| map_rv_items_not_mapped.pgsql | ||
| new_format.pgsql | ||
| readme.md | ||
| rebuild_pg.cmd | ||
| rec.json | ||
| srce_defn.pgsql | ||
| srce_template.pgsql | ||
| srce.pgsql | ||
| trans_log_template.pgsql | ||
| transaction_range.pgsql | ||
| ubm_backup.cmd | ||
| ubm_data.sql | ||
| ubm_schema.sql | ||
Concepts
pull various static files into postgres and do basic transformation without losing the original document or getting into custom code for each scenario
the is an in-between for an foreign data wrapper & custom programming
Storage
all records are jsonb applied mappings are in associated jsonb documents
Import
COPY function utilized
Mappings
- regular expressions are used to extract pieces of the json objects
- the results of the regular expressions are bumped up against a list of basic mappings and written to an associated jsonb document
each regex expression within a targeted pattern can be set to map or not. then the mapping items should be joined to map_rv with an = as opposed to @> to avoid duplication of rows
Transformation tools
COPYregexp_matches()
Difficulties
Non standard file formats will require additional logic example: PNC loan balance and collateral CSV files
- External: Anything not in CSV should be converted external to Postgres and then imported as CSV
- Direct: Outside logic can be setup to push new records to tps.trans direct from non-csv fornmated sources or fdw sources
Interface
maybe start out in excel until it gets firmed up
- list existing mappings
- apply mappings to see what results come back
- experiment with new mappings