pgrecon

Migration reconnaissance for PostgreSQL. pgrecon inventories an Oracle database from an offline dump and runs a deterministic rule engine over it, reporting the constructs that decide the real cost of a move: package-level state, autonomous transactions, LONG columns, interval partitioning, database links, and several dozen other things that surface late and expensively when nobody looks for them first.

pgrecon never connects to the database. A reviewable SQLPlus script is run by the DBA with a read-only account; only files cross the boundary. The analysis side needs Python 3.11 or newer; the extraction side needs nothing but SQLPlus.

How it works

pgrecon script   ->  extraction script, reviewed and run by the DBA
dump folder      ->  pgrecon load   ->  local SQLite inventory
inventory        ->  pgrecon report ->  findings by severity

Every finding is produced by a rule with a stable id running a query against the inventory. Same dump in, same findings out; nothing is estimated by guesswork. DDL that fails to parse is itself recorded and reported as a finding rather than silently skipped.

Try it without an Oracle database

The repository bundles a real extraction dump, taken by the packaged script from an Oracle XE 21c instance loaded with a deliberately nasty schema (see examples/dump_oracle21c):

git clone https://github.com/Muzzammil242/pgrecon
cd pgrecon
uv sync
uv run pgrecon load examples/dump_oracle21c --db sample.db
uv run pgrecon report --db sample.db

Output (excerpt):

high    R-OBJ-01   LOOPBACK           to //localhost:1521/XEPDB1 as RECON_TEST
high    R-PART-01  SALES              INTERVAL NUMTOYMINTERVAL(1, 'MONTH')
high    R-PERF-02  SALES_AMOUNT_GIX   GLOBAL partitioned index on SALES
high    R-PKG-01   PKG_LEDGER         2 package-level declaration(s), first at line 2
high    R-PKG-01   PKG_LEDGER (body)  1 package-level declaration(s), first at line 2
high    R-SYS-01   ARCHIVE_NOTES      UTL_FILE (first at line 16)
high    R-TRG-02   TRG_EMP_AUDIT      PRAGMA AUTONOMOUS_TRANSACTION (first at line 5)
high    R-TYPE-01  LEGACY_NOTES.BODY  LONG
high    R-TYPE-07  LEGACY_REFS.SCAN_DOC  BFILE
medium  R-SRC-18   ARCHIVE_NOTES      empty-string literal (first at line 4)
medium  R-SRC-19   ARCHIVE_NOTES      ROWID (first at line 3)
...

56 findings (10 high, 18 medium, 15 low, 13 info); effort points 76.7

Add --remedies to append what to do about each fired rule, or ask about one directly: uv run pgrecon explain R-PKG-01.

Assessing a real database

1. Generate the extraction script for the source version:

   pgrecon script --source-version 19
   

2. Hand pgrecon_extract.sql to the DBA. It is plain SQL*Plus, SELECT only, against dictionary views; it is meant to be read before it is run:

   sqlplus readonly_user@service @pgrecon_extract.sql SCHEMA_NAME
   

3. Load the returned dump folder and report:

   pgrecon load dump_dir --db inventory.db
   pgrecon report --db inventory.db
   pgrecon report --db inventory.db --format json > findings.json
   

   Pass -v to watch progress on stderr; loading parses every stored PL/SQL unit, which takes a few minutes on a large schema.

The extracting account needs SELECT_CATALOG_ROLE (or equivalent SELECT grants on the dictionary views the script names).

Character sets

Dumps are read as UTF-8. The script tells the DBA to set NLS_LANG=.AL32UTF8 before running it; when a dump was spooled in a local code page anyway, pass it explicitly:

pgrecon load dump_dir --encoding cp949

Bytes that do not decode degrade to replacement characters and leave a warning in the inventory. A bad code page never crashes a load.

Supported Oracle versions

The standard script needs a 12.2 or newer SQL*Plus client. The legacy variant runs on the old sqlplus already sitting on the database host: it uses no DBMS_METADATA and reconstructs DDL from the catalog, because on old systems DBMS_METADATA is slow on tables when it works at all. Both scripts carry runtime guards that stop with a clear message rather than spool a broken dump, and --source-version picks the right variant for you.

What it checks

63 rules at present, each shipping with fixture tests:

Stored PL/SQL is parsed with a full grammar, and code findings come from the syntax tree and token stream, never from comments or string literals. A unit the parser rejects keeps token-level coverage and is itself reported. The parse also records every call site into a queryable call graph, which is what the supplied-package rules read: UTL_FILE in a comment is not usage, UTL_FILE.FOPEN(...) is.

Findings carry the rule id, severity (info to blocker), the object, and what was seen. Every rule also defines remedy guidance and the PostgreSQL extension that helps (orafce, pgtt, and so on): pgrecon report --remedies appends it for each fired rule, pgrecon explain R-PKG-01 prints one rule's writeup (bare pgrecon explain lists the catalog), and the JSON payload carries the same metadata in a rules map for integrations.

Estimating effort

uv run pgrecon estimate --db sample.db

Migration effort estimate (person-days)

  baseline and environment       7.4
  schema conversion              1.7
  finding remediation           73.3
  PL/SQL porting by volume       0.8
  data movement                  0.0
  development subtotal          83.1

With testing and stabilization:
  low 108, expected 133, high 183 person-days (5.1 to 8.7 person-months)

The estimate is a sum of named components, so it can be argued with line by line, and it is a range, because a point estimate for a migration is a lie. Repeated findings of one rule cost a severity-dependent fraction of the first fix, testing and stabilization is applied on top at the share field reports actually describe, and every run prints its assumptions. The rates are a deliberately conservative default calibration; treat the output as a scoping instrument, not a quote.

Status

Alpha. The extraction scripts and inventory are stable; the rule catalog is growing. Effort points in the report are relative weights for sorting findings; person-day ranges come from pgrecon estimate and its visible calibration.

Scale is measured, not hoped for: a synthetic estate of 5,000 tables and 100,000 lines of PL/SQL across 1,600 stored units, one of them a 16,000-line package body, loads and deep-parses in under two minutes on a laptop, and reporting runs in seconds. The generator lives at tools/make_scale_dump.py, so the measurement is reproducible.

Development

uv sync
uv run pytest
uv run ruff check .
uv run mypy src

See CONTRIBUTING.md for the commit conventions and how to add a rule. Every rule lands with its fixture test.

Commercial support

The maintainer offers commercial migration assessment and delivery through DevCrafter, built on this core: narrative reports with per-finding remedies, effort estimation, and hands-on Oracle to PostgreSQL migration work. The core stays open under Apache-2.0. See SUPPORT.md for the full support and partner directory.

Acknowledgements

pgrecon stands on excellent open source: the PL/SQL grammar from grammars-v4 by Alexandre Porcelli, Ivan Kochurkin, and Mark Adams, turned into a parser by ANTLR; Oracle-dialect SQL parsing by sqlglot; the CLI by Typer; and test infrastructure on Gerald Venzl's Oracle XE container images. Attributions are in NOTICE.

License

Apache-2.0. See LICENSE.