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Paul Trowbridge c97c3a32e3 Merge branch 'pt'
2017-11-04 09:53:21 -04:00
build_json.xlsx update item tab to call the newly created function that builds a json from a base json 2017-11-03 01:05:21 -04:00
coa.md add credit cards 2017-10-13 09:18:48 -04:00
col_balance.pgsql added partion by major item, and then sort on import id 2017-10-25 10:45:24 -04:00
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do_map_g_option.pgsql merge wk branch concept of placing the mapping instructions in the regex items themselves 2017-11-04 09:33:16 -04:00
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readme.md

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

  1. regular expressions are used to extract pieces of the json objects
  2. the results of the regular expressions are bumped up against a list of basic mappings and written to an associated jsonb document

a target represents a whole scenario that needs matched. it can contain several regex expressions. if one fails, then no match is attempted because it coudl result in a false positive based on the @> oeprator used at join time this probably isn't correctly implemented

Transformation tools

  • COPY
  • regexp_matches()

Difficulties

Non standard file formats will require additional logic example: PNC loan balance and collateral CSV files

  1. External: Anything not in CSV should be converted external to Postgres and then imported as CSV
  2. 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