rmancinas/jorgecuadros-platform
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
e77e5546d8cd776a67f28a57dec04aec3e609465
jorgecuadros-platform/docs/LEGACY_DATABASES.md
T
rmancinas 0268ed896c Add Queries/Forms/Reports reference (DAO catalog) 
ODBC only exposes Tables and non-hidden SELECT queries, so this used
DAO COM automation (migration/catalog_objects.py, requires pywin32)
to catalog Reports, Forms, and full Query SQL text across all four
files instead.

Key finding: SEGUROS 16.mdb, previously noted as having zero data
tables, turns out to hold all 212 Reports/149 Forms/857 Queries for
the insurance line - SEGUROS 16_be.mdb is confirmed pure data storage
with zero saved objects. The renewal-notice reports also reveal a
RENEW/RENEW2/RENEW3 multi-notice reminder cycle not visible in the
table schema.

docs/LEGACY_DATABASES_OBJECTS.md documents all of this with the full
751 real queries' SQL text (business logic: billing math, year-
rollover batches, duplicate/delinquency detection). Raw output at
migration/objects.json. Cross-linked from RESUME.md and the existing
table-only LEGACY_DATABASES.md.
2026-07-22 01:50:22 -07:00

1979 lines
61 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# Legacy Database Reference
A complete structural reference for the four MS Access source databases this
platform migrates from, written so a machine **without Windows and without
access to the original files** can still understand exactly what data
exists, how it's shaped, and what's already known to be broken or excluded.
**This file covers Tables only.** For Queries, Forms, and Reports (which
turned out to hold significant business logic and workflow information not
visible from the table structure — e.g. multi-notice insurance renewal
cycles, the full statement/billing report inventory) see the companion
doc: [`LEGACY_DATABASES_OBJECTS.md`](LEGACY_DATABASES_OBJECTS.md).
## Why this file exists
The source data lives in Microsoft Access (`.accdb`/`.mdb`) files. That
format can only be read directly via the Microsoft Access Database Engine
ODBC driver, which is **Windows-only** — there is no equivalent driver for
Linux/macOS, and `pyodbc` on those platforms has nothing to connect to. In
practice this means:
- Anyone working from a non-Windows machine (or without the original files
at hand) cannot open these databases themselves.
- This document is the substitute: it was generated by actually connecting
to the real files on a Windows machine and reading every table's
structure, so it can be trusted as an accurate snapshot rather than a
guess.
- For the **data itself** (not just structure), work from the staged
output instead — see [Working with this without Windows](#working-with-this-without-windows) below.
**Source of truth / how to regenerate:** `migration/catalog_schema.py`
connects to all three real database files and writes a full JSON catalog;
`migration/render_catalog_md.py` renders that JSON into the appendix at the
bottom of this file. Re-run both (on Windows, with the Access ODBC driver
installed) any time the source `.accdb`/`.mdb` files change:
```bash
cd migration
python catalog_schema.py --output catalog.json
python render_catalog_md.py catalog.json --output appendix.md
# then paste appendix.md content below the --- marker at the bottom of this file
```
## The four files at a glance
| File | Format | Size | Tables | Purpose |
|---|---|---|---|---|
| `UTILITIES.accdb` | Access 2007+ | ~538 MB | 52 (37 real, 15 scratch) | Property/utility-service management: customers, properties, per-service billing (water/electric/gas/cable/trust/property-tax), cash ledgers |
| `SEGUROS 16.mdb` | Access 2003 (Jet) | ~30 MB | 0 real | **Empty linked front-end shell.** All actual data lives in the `_be` file below — this file just holds forms/reports/queries pointing at it. |
| `SEGUROS 16_be.mdb` | Access 2003 (Jet) | ~882 MB | 64 (49 real, 15 scratch) | Insurance brokerage backend: customers, one table per line of business (fire, multi-risk/home, auto ×7 variants, commercial, driver's-license), claims, beneficiaries, adjusters |
| `SCOTHIA.mdb` | Access 2003 (Jet) | ~3 MB | 7 (4 real, 3 scratch) | The office's own Scotiabank checking-account register ("chequera") — not customer data, the company's operating bank book |
None of these files have any primary keys, foreign keys, or other
referential-integrity constraints defined at the database level —
**every relationship described below is inferred from column-naming
conventions**, not enforced by the source system. Treat every "this column
references that table" statement here as an educated inference to validate
during migration, not a guarantee.
## How the three real databases relate to each other
The same people are customers of both the utilities and insurance business
lines, and the two systems cross-reference each other in a few specific
places:
- **`UTILITIES.accdb: DATGRAL.[NUM id]`** ↔ **`SEGUROS 16_be.mdb: DATGRAL.[NUM UTIL]`** — the insurance customer table has a literal column pointing at the corresponding utilities customer's ID. This is the primary join key for building a unified customer record, and is almost certainly what the old PHP app's `customer_mapping` table was reverse-engineered from.
- **`SEGUROS 16_be.mdb: UTILSEG`** (1,582 rows, 3 columns) — looks like a dedicated utilities↔insurance customer cross-reference table, likely redundant with the `NUM UTIL` column above but worth reconciling against it rather than assuming either is complete on its own.
- **`SCOTHIA.mdb`** doesn't reference customers at all — it's the company's own bank book. It cross-references business lines instead, via `TABLA RAMODOS` (a "ramo"/line-of-business lookup that bank transactions presumably classify against through their `CONCEPTO`/`TIPO` free-text fields — there's no formal foreign key, so this mapping would need to be inferred from the text, not joined directly).
- Within `UTILITIES.accdb`, **`COBRO3`** (181 rows) has the exact same column shape as **`DATGRAL`** (1,172 rows) and looks like a filtered snapshot rather than a distinct entity — needs a diff before assuming it's redundant.
- Within `SEGUROS 16_be.mdb`, one flat table exists per insurance line of business — `INCENDIO` (fire), `MULT` (multi-risk/home), `M EMPR` (commercial property), seven auto-policy variants (`TABLA AUTOS`, `TABLA AUTOS AMPL`, `TABLA AUTOS AMPL R`, `TABLA AUTOS LIMIT`, `TABLA AUTOS LIMIT R`, `TABLA AUTOS RC R`, `MCA2`), and `LICENCIAS` (driver's-license insurance) — these all share the same repeated-column pattern (policy #, coverage dates, 4 hardcoded payment installments, premium breakdown, liquidation status) and are meant to unify into one `policies` table with a type discriminator in the target schema, not stay as separate tables.
## Known data-quality issues and extraction quirks
These were discovered by actually connecting to the files, not by inspection — anyone re-running extraction should expect to hit the same issues:
1. **`cursor.columns()` UTF-16 decode bug.** Reading column *metadata* (not data) via pyodbc's `cursor.columns()` call throws `'utf-16-le' codec can't decode bytes...` on a subset of tables whose column names contain certain accented/special characters (confirmed on `PROPANO`, `FALTANTES AGUA`, `TIT`, and others — see the appendix, tables with no `access_type` shown hit this). **Workaround:** read column names from `cursor.description` after a plain `SELECT *` instead, which doesn't hit the same code path. Implemented in `migration/extract.py::read_table`. The cost is losing the nice Access type name (`VARCHAR(255)`, `DOUBLE`, etc.) for those specific tables — the appendix falls back to showing the pandas-inferred dtype for them instead.
2. **One corrupted record in `MULT`.** A single row in `SEGUROS 16_be.mdb: MULT` is marked deleted at the Jet/ACE storage level but still enumerated by the driver — trying to read it throws `HY109 Record is deleted`. A plain `fetchall()` aborts the *entire table* on this error. **Workaround:** fetch rows one at a time in a try/except, skip and log the bad row, keep going. Recovers 763 of 764 rows. Confirmed the cursor correctly advances past the bad row rather than looping forever before trusting this for a full run. Implemented in `migration/extract.py::read_table`.
3. **No real primary keys anywhere.** Every ID-like column (`NUM id`, `NUMid`, `NUMER ID`, `IDISEG`, `IDIUT`, etc.) is a plain `DOUBLE` or `INTEGER` field with no uniqueness constraint enforced by the database. Duplicates are possible and should be checked for, not assumed absent.
4. **IDs stored as `DOUBLE`, not `INTEGER`.** Most legacy numeric ID columns are typed `DOUBLE(53)` even though every real value is a whole number — a legacy-of-Access-defaults quirk, not a meaningful design choice. Watch for floating-point representation issues when comparing/joining these values (e.g. `369.0` vs `369`) during migration.
5. **Column names are free-form**, including spaces, colons, and inconsistent casing (`NUM id`, `NUMid`, `NUMER ID`, `TRUST NUM:`, `A�O1` — that last one is a mis-decoded `AÑO1`, "year" in Spanish). `migration/extract.py::sanitize_column_name` normalizes these to safe identifiers for staging, while preserving the original name separately for traceability.
6. **Near-duplicate snapshot tables.** Several groups of tables in `UTILITIES.accdb` appear to be repeated exports/snapshots of the same underlying data across different periods or programs, not genuinely distinct datasets: the `EFECTIVO` / `EFECTIVO FM3` / `EFECTIVO_BACKUP` / `CHEQUE FM3` cash-ledger group, and the `FEE ANUAL` / `datos2` / `fee15` / `billing` recurring-billing group. These need a reconciliation/diff pass before deciding a union or de-dupe rule — don't assume a straight union is correct.
## Table exclusion rationale
Tables excluded from migration (see `migration/config.py` for the exact
per-source exclude lists) fall into three categories:
- **Confirmed empty (0 rows).** Nothing is lost by skipping these — mostly named like obvious scratch/working tables (`BANCO EDITOR`, `Errores de pegado`, `TABLE1`, `PARA BILLING*`, `FALTANTES *`, `TELEFONOS FECHAS`, `TRUSTHFEE`, and the `ID TABLA`/`TABLA LIQUIDA *` group in the insurance file).
- **Mail-merge document templates**, not data — the `* MENS`/`*MENSAJE` tables in `SEGUROS 16_be.mdb` (`AMPL MENS`, `IN MENS`, `LIC MENS`, `MCA2 MENS`, `ME MENS`, `MF MENS`, `RC MENSAJE`, `RC R MENS`) store letter/certificate templates as blobs. These get reimplemented as real PDF templates in the new app, not migrated as rows.
- **Materialized Access query results**, not source-of-truth data — `TODOSJC`, `TODOS`, `vigenta casa y auto unicos` in the insurance file look like saved report output. If the report itself is still needed, it should be rebuilt as a real query against the new schema, not migrated as a frozen snapshot.
A `TIT` table appears in both `UTILITIES.accdb` and `SEGUROS 16_be.mdb` with
1 row each and column names matching Access's default "Contacts" template
(`FirstName`, `LastName`, `Address`, `City`...) — almost certainly leftover
template residue from database creation, not real data. Excluded from both.
## Working with this without Windows
If you're on a non-Windows machine and need the actual **data**, not just
the structure documented here:
1. The real extraction has to happen on a Windows machine with the Access
ODBC driver (`migration/load_staging.py`) — there's no way around that
for the raw `.accdb`/`.mdb` files themselves.
2. That script's output — either Parquet files (`--output-dir`, portable,
no database needed) or a live MySQL staging load (`--database-url`) — is
what every other machine should work from. Parquet in particular is
fully cross-platform and needs nothing but `pandas`/`pyarrow` to read.
3. This document tells you what to *expect* in that staged output (which
tables, which columns, what's already known to be messy) without
needing to touch the original Access files at all.
See `../PLAN.md` for the full target data model these tables migrate into,
and `../RESUME.md` for overall project state.
---
<!-- APPENDIX_MARKER: content below this line is generated by migration/catalog_schema.py + migration/render_catalog_md.py — do not hand-edit, regenerate instead. -->
## Appendix: full table catalog
Generated by `migration/catalog_schema.py` + `migration/render_catalog_md.py`. Regenerate after any change to the source files.
### UTILITIES.accdb
52 tables total — 37 included in migration, 15 excluded (scratch/template/report tables).
#### `AGUA EVALUA`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `RUTAS` | VARCHAR(50) | no |
| `PERIODO` | VARCHAR(50) | no |
#### `CHEQUE FM3`
Rows: 157 | Columns: 9
| Column | Type | Nullable |
|---|---|---|
| `CL` | DOUBLE(53) | no |
| `FECHA` | DATETIME(19) | no |
| `FEE` | DOUBLE(53) | no |
| `TAX` | DOUBLE(53) | no |
| `MULTA` | DOUBLE(53) | no |
| `MONEDAS` | VARCHAR(50) | yes |
| `CONEPTO` | VARCHAR(100) | yes |
| `NUM CHEQUE` | DOUBLE(53) | no |
| `FOLIO` | COUNTER(10) | no |
#### `CLAVES`
Rows: 8 | Columns: 4
| Column | Type | Nullable |
|---|---|---|
| `BANCO` | VARCHAR(10) | no |
| `MANT` | VARCHAR(15) | yes |
| `PRZN` | VARCHAR(15) | yes |
| `ZFED T` | VARCHAR(15) | yes |
#### `COBRO3`
Rows: 181 | Columns: 25
| Column | Type | Nullable |
|---|---|---|
| `NUM id` | DOUBLE(53) | no |
| `NOMBRE` | VARCHAR(255) | yes |
| `DIRECCION` | VARCHAR(255) | yes |
| `COLONIA` | VARCHAR(255) | yes |
| `CIUDAD` | VARCHAR(255) | yes |
| `ESTADO` | VARCHAR(255) | yes |
| `PAIS` | VARCHAR(255) | yes |
| `LABEL` | VARCHAR(255) | yes |
| `TELUSA` | VARCHAR(255) | yes |
| `FAX` | VARCHAR(15) | yes |
| `OBSERVACIONES` | VARCHAR(255) | yes |
| `CODIGO` | VARCHAR(50) | yes |
| `TIPO` | DOUBLE(53) | yes |
| `CLIENTE TIPO` | VARCHAR(50) | yes |
| `FECHA NACIMIENTO` | DATETIME(19) | yes |
| `ESTADO DE CUENTA EN` | BIT(1) | no |
| `CONTROL FM3` | BIT(1) | no |
| `EMAIL` | VARCHAR(50) | yes |
| `CLIENTE DESDE` | DATETIME(19) | yes |
| `STATUS` | BIT(1) | no |
| `FEE` | DOUBLE(53) | no |
| `IDIUT` | DOUBLE(53) | no |
| `CEL` | VARCHAR(50) | yes |
| `ID SEG` | DOUBLE(53) | no |
| `ID FM` | DOUBLE(53) | no |
#### `DATGRAL`
Rows: 1172 | Columns: 25
| Column | Type | Nullable |
|---|---|---|
| `NUM id` | DOUBLE(53) | no |
| `NOMBRE` | VARCHAR(255) | yes |
| `DIRECCION` | VARCHAR(255) | yes |
| `COLONIA` | VARCHAR(255) | yes |
| `CIUDAD` | VARCHAR(255) | yes |
| `ESTADO` | VARCHAR(255) | yes |
| `PAIS` | VARCHAR(255) | yes |
| `LABEL` | VARCHAR(255) | yes |
| `TELUSA` | VARCHAR(255) | yes |
| `FAX` | VARCHAR(15) | yes |
| `OBSERVACIONES` | VARCHAR(255) | yes |
| `CODIGO` | VARCHAR(50) | yes |
| `TIPO` | DOUBLE(53) | yes |
| `CLIENTE TIPO` | VARCHAR(50) | yes |
| `FECHA NACIMIENTO` | DATETIME(19) | yes |
| `ESTADO DE CUENTA EN` | BIT(1) | no |
| `CONTROL FM3` | BIT(1) | no |
| `EMAIL` | VARCHAR(50) | yes |
| `CLIENTE DESDE` | DATETIME(19) | yes |
| `STATUS` | BIT(1) | no |
| `FEE` | DOUBLE(53) | yes |
| `IDIUT` | DOUBLE(53) | yes |
| `CEL` | VARCHAR(50) | yes |
| `ID SEG` | DOUBLE(53) | yes |
| `ID FM` | DOUBLE(53) | yes |
#### `DATMEX`
Rows: 1520 | Columns: 56
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `CASA` | DOUBLE(53) | no |
| `DIRECCION` | VARCHAR(255) | yes |
| `TELEFONO` | VARCHAR(50) | yes |
| `TELEFONO2` | VARCHAR(50) | yes |
| `TELEFONO3` | VARCHAR(50) | yes |
| `FV` | DOUBLE(53) | yes |
| `FV2` | DOUBLE(53) | yes |
| `FV3` | DOUBLE(53) | yes |
| `MANZANA` | VARCHAR(12) | yes |
| `LOTE` | VARCHAR(12) | yes |
| `AGUA` | DOUBLE(53) | yes |
| `DIAGUA` | DOUBLE(53) | yes |
| `GAS` | VARCHAR(12) | yes |
| `GAS VENCE` | DOUBLE(53) | yes |
| `ZONA` | VARCHAR(50) | yes |
| `CHECK` | VARCHAR(1) | yes |
| `CLAVE` | VARCHAR(50) | yes |
| `RUTA` | VARCHAR(50) | yes |
| `RUTA2` | VARCHAR(50) | yes |
| `RUTA3` | VARCHAR(50) | yes |
| `MEDIDOR` | VARCHAR(50) | yes |
| `MEDIDOR2` | VARCHAR(50) | yes |
| `MEDIDOR3` | VARCHAR(50) | yes |
| `LUZ TIPO` | VARCHAR(50) | yes |
| `BFEE` | DOUBLE(53) | yes |
| `CONSES` | VARCHAR(50) | yes |
| `BANCO` | VARCHAR(30) | yes |
| `VENCE1` | DATETIME(19) | yes |
| `VENCE2` | DATETIME(19) | yes |
| `MANT` | VARCHAR(15) | yes |
| `MANT$` | DOUBLE(53) | yes |
| `CIA CABLE` | VARCHAR(255) | yes |
| `DIA CABLE` | DOUBLE(53) | yes |
| `CABLE num` | VARCHAR(255) | yes |
| `PRZN` | VARCHAR(15) | yes |
| `PREDIAL` | DOUBLE(53) | yes |
| `ZFED` | DOUBLE(53) | yes |
| `FIANZA` | VARCHAR(50) | yes |
| `ZFED T` | VARCHAR(15) | yes |
| `TRUST NUM` | VARCHAR(50) | yes |
| `RPU` | DOUBLE(53) | yes |
| `RPU2` | DOUBLE(53) | yes |
| `RPU3` | DOUBLE(53) | yes |
| `TASA` | DOUBLE(53) | yes |
| `CABLE/SKY` | BIT(1) | no |
| `SERVICES` | LONGCHAR(1073741823) | yes |
| `ALARM SYSTEM` | VARCHAR(50) | yes |
| `TITULAR SERV` | BIT(1) | no |
| `VIGENTE` | BIT(1) | no |
| `ILUZ` | LONGBINARY(1073741823) | yes |
| `IAGUA` | LONGBINARY(1073741823) | yes |
| `IPREDIAL` | LONGBINARY(1073741823) | yes |
| `ITEL` | LONGBINARY(1073741823) | yes |
| `DOC 1` | LONGBINARY(1073741823) | yes |
| `DOC 2` | LONGBINARY(1073741823) | yes |
#### `DATOS FUTUROS`
Rows: 0 | Columns: 7
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | DOUBLE(53) | — |
| `DATE` | DATETIME(19) | — |
| `REFER` | DOUBLE(53) | — |
| `PERIOD` | VARCHAR(255) | — |
| `TYPE OF TRX` | VARCHAR(255) | — |
| `CHARGECREDIT` | DOUBLE(53) | — |
| `CHEQUE` | VARCHAR(15) | — |
#### `DIRECCION`
Rows: 0 | Columns: 4
| Column | Type | Nullable |
|---|---|---|
| `ID` | INTEGER(10) | — |
| `HOME 1:` | VARCHAR(50) | — |
| `HOME 2:` | VARCHAR(50) | — |
| `HOME 3:` | VARCHAR(50) | — |
#### `DIRECCIONAWEB`
Rows: 1520 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `ID` | DOUBLE(53) | no |
| `ADDRESS` | VARCHAR(50) | yes |
#### `EFECTIVO`
Rows: 13697 | Columns: 8
| Column | Type | Nullable |
|---|---|---|
| `CL` | SMALLINT(5) | no |
| `FECHA` | DATETIME(19) | yes |
| `MONTO` | CURRENCY(19) | yes |
| `MONEDAS` | VARCHAR(255) | yes |
| `CONEPTO` | VARCHAR(255) | yes |
| `F DEPOSITO` | DATETIME(19) | yes |
| `FOLIO` | COUNTER(10) | no |
| `ELABORO` | VARCHAR(255) | yes |
#### `EFECTIVO FM3`
Rows: 627 | Columns: 9
| Column | Type | Nullable |
|---|---|---|
| `CL` | DOUBLE(53) | no |
| `FECHA` | DATETIME(19) | no |
| `FEE` | DOUBLE(53) | yes |
| `TAX` | DOUBLE(53) | yes |
| `MULTA` | DOUBLE(53) | yes |
| `MONEDAS` | VARCHAR(50) | yes |
| `CONEPTO` | VARCHAR(100) | yes |
| `F DEPOSITO` | DATETIME(19) | yes |
| `FOLIO` | COUNTER(10) | no |
#### `EFECTIVO_BACKUP`
Rows: 12387 | Columns: 8
| Column | Type | Nullable |
|---|---|---|
| `CL` | DOUBLE(53) | no |
| `FECHA` | DATETIME(19) | yes |
| `MONTO` | DOUBLE(53) | yes |
| `MONEDAS` | VARCHAR(50) | yes |
| `CONEPTO` | VARCHAR(100) | yes |
| `F DEPOSITO` | DATETIME(19) | yes |
| `FOLIO` | COUNTER(10) | no |
| `ELABORO` | VARCHAR(50) | yes |
#### `FECHAIF`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `FECHA INICIAL` | DATETIME(19) | no |
| `FECHA FINAL` | DATETIME(19) | no |
#### `FECHAS`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `FECHA 1` | DATETIME(19) | no |
| `FECHA 2` | DATETIME(19) | no |
#### `FEE ANUAL`
Rows: 1082 | Columns: 11
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | DOUBLE(53) | no |
| `DATE` | DATETIME(19) | no |
| `REFER` | VARCHAR(50) | yes |
| `PERIOD` | VARCHAR(255) | no |
| `TYPE OF TRX` | VARCHAR(255) | no |
| `CHARGECREDIT` | DOUBLE(53) | yes |
| `CHEQUE` | VARCHAR(15) | yes |
| `CAP` | DATETIME(19) | no |
| `per` | VARCHAR(50) | yes |
| `CONT` | COUNTER(10) | no |
| `NOPAGO` | BIT(1) | no |
#### `IVA 2015`
Rows: 911 | Columns: 8
| Column | Type | Nullable |
|---|---|---|
| `NUM id` | DOUBLE(53) | no |
| `CASA` | DOUBLE(53) | no |
| `NOMBRE` | VARCHAR(255) | yes |
| `DIRECCION` | VARCHAR(255) | yes |
| `FEE` | DOUBLE(53) | no |
| `VALORU` | DOUBLE(53) | no |
| `VALIVA` | DOUBLE(53) | no |
| `RECIBO` | COUNTER(10) | no |
#### `LUZ EVALUA`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `RUTAS` | VARCHAR(50) | no |
| `PERIODO` | VARCHAR(50) | no |
#### `LUZSCAN`
Rows: 0 | Columns: 5
| Column | Type | Nullable |
|---|---|---|
| `ID` | DOUBLE(53) | — |
| `CASA` | DOUBLE(53) | — |
| `NOMBRE` | VARCHAR(50) | — |
| `RPUS` | VARCHAR(50) | — |
| `SALDO` | DOUBLE(53) | — |
#### `MAIL`
Rows: 84 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `CLIENTE` | DOUBLE(53) | no |
#### `PARAPER`
Rows: 0 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `per1` | VARCHAR(50) | — |
#### `PROFILE`
Rows: 1520 | Columns: 14
| Column | Type | Nullable |
|---|---|---|
| `NUMERID` | DOUBLE(53) | no |
| `CASA` | DOUBLE(53) | no |
| `DIRECCION` | VARCHAR(255) | yes |
| `PHONE1` | INTEGER(10) | no |
| `PHONEN` | VARCHAR(50) | yes |
| `WATER1` | INTEGER(10) | no |
| `GAS1` | INTEGER(10) | no |
| `FEDERALZONE` | INTEGER(10) | no |
| `PROPERTYTAXES` | INTEGER(10) | no |
| `ELECTRIC` | INTEGER(10) | no |
| `TRUST` | INTEGER(10) | no |
| `BANK` | VARCHAR(50) | yes |
| `CABLE/SKY` | BIT(1) | no |
| `SERVICES` | LONGCHAR(1073741823) | yes |
#### `PROPANO`
Rows: 0 | Columns: 24
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | _(inferred: object)_ | — |
| `NOMBRE` | _(inferred: object)_ | — |
| `DIRECCION` | _(inferred: object)_ | — |
| `COLONIA` | _(inferred: object)_ | — |
| `CIUDAD` | _(inferred: object)_ | — |
| `ESTADO` | _(inferred: object)_ | — |
| `PAIS` | _(inferred: object)_ | — |
| `CODIGO` | _(inferred: object)_ | — |
| `EMAIL` | _(inferred: object)_ | — |
| `TELUSA` | _(inferred: object)_ | — |
| `FAX` | _(inferred: object)_ | — |
| `DATE` | _(inferred: object)_ | — |
| `REFER` | _(inferred: object)_ | — |
| `PERIOD` | _(inferred: object)_ | — |
| `TYPEOFTRX` | _(inferred: object)_ | — |
| `CHARGECREDIT` | _(inferred: object)_ | — |
| `MENSAJE` | _(inferred: object)_ | — |
| `fdecreacion` | _(inferred: object)_ | — |
| `PASSWD` | _(inferred: object)_ | — |
| `CLIENTEDESDE` | _(inferred: object)_ | — |
| `TIPODECAMBIO` | _(inferred: object)_ | — |
| `TIPO` | _(inferred: object)_ | — |
| `DIRECCIONMEX` | _(inferred: object)_ | — |
| `NOPAGO` | _(inferred: object)_ | — |
#### `RECIBONOCLIENT`
Rows: 1 | Columns: 4
| Column | Type | Nullable |
|---|---|---|
| `NOMBRE CLIENTE` | VARCHAR(50) | no |
| `CONCEPTO` | VARCHAR(200) | no |
| `CANTIDAD` | DOUBLE(53) | no |
| `MONEDAS` | VARCHAR(50) | no |
#### `RPUN`
Rows: 0 | Columns: 4
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | INTEGER(10) | — |
| `NOMBRE` | VARCHAR(50) | — |
| `RPU1` | INTEGER(10) | — |
| `CH/CRED` | DOUBLE(53) | — |
#### `SHCP 5`
Rows: 0 | Columns: 12
| Column | Type | Nullable |
|---|---|---|
| `ID` | INTEGER(10) | — |
| `RFC` | VARCHAR(50) | — |
| `CURP` | VARCHAR(50) | — |
| `MES INICIO` | VARCHAR(50) | — |
| `AÑO INICIO` | VARCHAR(50) | — |
| `MES FINAL` | VARCHAR(50) | — |
| `AÑO FINAL` | VARCHAR(50) | — |
| `TOTAL DE DERECHOS` | DOUBLE(53) | — |
| `PARTE ACTUALIZADA` | DOUBLE(53) | — |
| `RECARGOS` | DOUBLE(53) | — |
| `MULTA` | DOUBLE(53) | — |
| `AJUSTE` | DOUBLE(53) | — |
#### `TEL EVALUA`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `MES PAGO` | VARCHAR(50) | no |
| `FVT1` | DOUBLE(53) | no |
#### `TELEF`
Rows: 0 | Columns: 4
| Column | Type | Nullable |
|---|---|---|
| `ID` | DOUBLE(53) | — |
| `NOMBRE` | VARCHAR(50) | — |
| `TELE` | VARCHAR(50) | — |
| `SALDO` | DOUBLE(53) | — |
#### `TIPO CAMBIO`
Rows: 1 | Columns: 3
| Column | Type | Nullable |
|---|---|---|
| `TIPO DE CAMBIO` | _(inferred: float64)_ | no |
| `MENSAJE` | _(inferred: object)_ | no |
| `MENSAJE2` | _(inferred: object)_ | yes |
#### `TIPO HIST`
Rows: 2301 | Columns: 3
| Column | Type | Nullable |
|---|---|---|
| `TIPO DE CAMBIO` | DOUBLE(53) | no |
| `DATE` | DATETIME(19) | no |
| `HOUR` | DATETIME(19) | no |
#### `TRUSTVENCE`
Rows: 549 | Columns: 6
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `BANCO` | VARCHAR(30) | no |
| `BFEE` | DOUBLE(53) | yes |
| `VENCE1` | DATETIME(19) | yes |
| `VENCE2` | DATETIME(19) | yes |
| `TRUST NUM` | VARCHAR(50) | yes |
#### `TYPE OF TRX`
Rows: 79 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `TYPE OF TRX` | VARCHAR(50) | no |
| `ESPAÑOL` | VARCHAR(50) | yes |
#### `datos2`
Rows: 16000 | Columns: 12
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | DOUBLE(53) | no |
| `DATE` | DATETIME(19) | yes |
| `REFER` | VARCHAR(50) | yes |
| `PERIOD` | VARCHAR(255) | yes |
| `TYPE OF TRX` | VARCHAR(255) | yes |
| `CHARGECREDIT` | DOUBLE(53) | yes |
| `CHEQUE` | VARCHAR(15) | yes |
| `CAP` | DATETIME(19) | no |
| `per` | VARCHAR(50) | yes |
| `CONT` | COUNTER(10) | no |
| `NOPAGO` | BIT(1) | no |
| `DUE DATE` | VARCHAR(50) | yes |
#### `datosfreak`
Rows: 15981 | Columns: 26
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | _(inferred: float64)_ | no |
| `NOMBRE` | _(inferred: object)_ | yes |
| `DIRECCION` | _(inferred: object)_ | yes |
| `COLONIA` | _(inferred: object)_ | yes |
| `CIUDAD` | _(inferred: object)_ | yes |
| `ESTADO` | _(inferred: object)_ | yes |
| `PAIS` | _(inferred: object)_ | yes |
| `CODIGO` | _(inferred: object)_ | yes |
| `EMAIL` | _(inferred: object)_ | yes |
| `TELUSA` | _(inferred: object)_ | yes |
| `FAX` | _(inferred: object)_ | yes |
| `CEL` | _(inferred: object)_ | yes |
| `DATE` | _(inferred: datetime64[ns])_ | yes |
| `REFER` | _(inferred: object)_ | yes |
| `PERIOD` | _(inferred: object)_ | yes |
| `TYPEOFTRX` | _(inferred: object)_ | yes |
| `CHARGECREDIT` | _(inferred: float64)_ | yes |
| `MENSAJE` | _(inferred: object)_ | no |
| `fdecreacion` | _(inferred: datetime64[ns])_ | no |
| `PASSWD` | _(inferred: object)_ | no |
| `CLIENTEDESDE` | _(inferred: datetime64[ns])_ | yes |
| `TIPODECAMBIO` | _(inferred: float64)_ | no |
| `TIPO` | _(inferred: float64)_ | yes |
| `DIRECCIONMEX` | _(inferred: object)_ | yes |
| `NOPAGO` | _(inferred: bool)_ | no |
| `FEE` | _(inferred: float64)_ | yes |
#### `datosfreak2`
Rows: 1520 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | _(inferred: float64)_ | no |
| `DIRECCIONMEX` | _(inferred: object)_ | yes |
#### `fee15`
Rows: 1030 | Columns: 11
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | DOUBLE(53) | no |
| `DATE` | DATETIME(19) | no |
| `REFER` | VARCHAR(50) | yes |
| `PERIOD` | VARCHAR(255) | no |
| `TYPE OF TRX` | VARCHAR(255) | no |
| `CHARGECREDIT` | DOUBLE(53) | no |
| `CHEQUE` | VARCHAR(15) | no |
| `CAP` | DATETIME(19) | no |
| `per` | VARCHAR(50) | yes |
| `CONT` | COUNTER(10) | no |
| `NOPAGO` | BIT(1) | no |
#### `pagos email`
Rows: 20 | Columns: 24
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | _(inferred: float64)_ | no |
| `NOMBRE` | _(inferred: object)_ | no |
| `DIRECCION` | _(inferred: object)_ | yes |
| `COLONIA` | _(inferred: object)_ | yes |
| `CIUDAD` | _(inferred: object)_ | yes |
| `ESTADO` | _(inferred: object)_ | yes |
| `PAIS` | _(inferred: object)_ | yes |
| `CODIGO` | _(inferred: object)_ | yes |
| `EMAIL` | _(inferred: object)_ | yes |
| `TELUSA` | _(inferred: object)_ | yes |
| `FAX` | _(inferred: object)_ | yes |
| `DATE` | _(inferred: datetime64[ns])_ | no |
| `REFER` | _(inferred: object)_ | no |
| `PERIOD` | _(inferred: object)_ | yes |
| `TYPEOFTRX` | _(inferred: object)_ | no |
| `CHARGECREDIT` | _(inferred: float64)_ | no |
| `MENSAJE` | _(inferred: object)_ | no |
| `fdecreacion` | _(inferred: datetime64[ns])_ | no |
| `PASSWD` | _(inferred: object)_ | no |
| `CLIENTEDESDE` | _(inferred: datetime64[ns])_ | yes |
| `TIPODECAMBIO` | _(inferred: float64)_ | no |
| `TIPO` | _(inferred: float64)_ | yes |
| `DIRECCIONMEX` | _(inferred: object)_ | yes |
| `NOPAGO` | _(inferred: bool)_ | no |
#### `pagos todos`
Rows: 20 | Columns: 24
| Column | Type | Nullable |
|---|---|---|
| `NUMid` | _(inferred: float64)_ | no |
| `NOMBRE` | _(inferred: object)_ | no |
| `DIRECCION` | _(inferred: object)_ | yes |
| `COLONIA` | _(inferred: object)_ | yes |
| `CIUDAD` | _(inferred: object)_ | yes |
| `ESTADO` | _(inferred: object)_ | yes |
| `PAIS` | _(inferred: object)_ | yes |
| `CODIGO` | _(inferred: object)_ | yes |
| `EMAIL` | _(inferred: object)_ | yes |
| `TELUSA` | _(inferred: object)_ | yes |
| `FAX` | _(inferred: object)_ | yes |
| `DATE` | _(inferred: datetime64[ns])_ | no |
| `REFER` | _(inferred: object)_ | no |
| `PERIOD` | _(inferred: object)_ | yes |
| `TYPEOFTRX` | _(inferred: object)_ | no |
| `CHARGECREDIT` | _(inferred: float64)_ | no |
| `MENSAJE` | _(inferred: object)_ | no |
| `fdecreacion` | _(inferred: datetime64[ns])_ | no |
| `PASSWD` | _(inferred: object)_ | no |
| `CLIENTEDESDE` | _(inferred: datetime64[ns])_ | yes |
| `TIPODECAMBIO` | _(inferred: float64)_ | no |
| `TIPO` | _(inferred: float64)_ | yes |
| `DIRECCIONMEX` | _(inferred: object)_ | yes |
| `NOPAGO` | _(inferred: bool)_ | no |
#### Excluded tables
| Table | Rows |
|---|---|
| `BANCO EDITOR` | 0 |
| `Errores de pegado` | 1 |
| `FALTANTES AGUA` | 0 |
| `FALTANTES TEL` | 0 |
| `LUZ TODOS` | 0 |
| `PARA BILLING SIN` | 0 |
| `PARA BILLING1` | 0 |
| `PARA BILLING2` | 0 |
| `PARA EDO` | 0 |
| `TABLE1` | 13 |
| `TELEFONOS FECHAS` | 0 |
| `TIT` | 1 |
| `TRUSTHFEE` | 0 |
| `billing` | 0 |
| `faltantes luz` | 0 |
### SEGUROS 16_be.mdb
64 tables total — 41 included in migration, 23 excluded (scratch/template/report tables).
#### `AJUSTA`
Rows: 3 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `AJUS` | VARCHAR(50) | no |
#### `AJUSTADORES`
Rows: 9 | Columns: 6
| Column | Type | Nullable |
|---|---|---|
| `ORDEN` | DOUBLE(53) | yes |
| `COMP` | VARCHAR(50) | yes |
| `CIUDAD` | VARCHAR(50) | yes |
| `NOMBRE` | VARCHAR(60) | yes |
| `TEL` | VARCHAR(50) | yes |
| `BEEPER` | VARCHAR(50) | yes |
#### `AJUSTADORESATLAS`
Rows: 8 | Columns: 6
| Column | Type | Nullable |
|---|---|---|
| `ORDEN` | DOUBLE(53) | no |
| `COMP` | VARCHAR(50) | no |
| `CIUDAD` | VARCHAR(50) | no |
| `NOMBRE` | VARCHAR(60) | no |
| `TEL` | VARCHAR(50) | yes |
| `BEEPER` | VARCHAR(50) | yes |
#### `ATLAS`
Rows: 2 | Columns: 3
| Column | Type | Nullable |
|---|---|---|
| `SEGURO` | VARCHAR(50) | no |
| `PNET` | DOUBLE(53) | no |
| `DPOLI` | DOUBLE(53) | no |
#### `BENEF`
Rows: 768 | Columns: 5
| Column | Type | Nullable |
|---|---|---|
| `BPOLIZA` | VARCHAR(255) | no |
| `BNOMBRE` | VARCHAR(255) | yes |
| `BDIRECCION` | VARCHAR(255) | yes |
| `BTEL` | VARCHAR(255) | yes |
| `BEMAIL` | VARCHAR(255) | yes |
#### `COMENTARIOS`
Rows: 1 | Columns: 6
| Column | Type | Nullable |
|---|---|---|
| `NUM` | COUNTER(10) | no |
| `EN` | VARCHAR(50) | no |
| `QUE` | VARCHAR(50) | no |
| `COMENTARIOS` | LONGCHAR(1073741823) | no |
| `FECHA` | DATETIME(19) | no |
| `OK` | BIT(1) | no |
#### `COMPAN`
Rows: 4 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `COMPAÑIA` | VARCHAR(50) | no |
#### `CONTACTS`
Rows: 3 | Columns: 26
| Column | Type | Nullable |
|---|---|---|
| `ID` | COUNTER(10) | no |
| `COMPAÑIA` | VARCHAR(50) | no |
| `CARGO` | VARCHAR(50) | yes |
| `DEPARTAMENTO` | VARCHAR(50) | yes |
| `TITULO` | VARCHAR(50) | yes |
| `NOMBRES` | VARCHAR(50) | yes |
| `APELLIDOS` | VARCHAR(50) | yes |
| `CALLE Y NUM` | VARCHAR(50) | yes |
| `CIUDAD` | VARCHAR(50) | yes |
| `ESTADO` | VARCHAR(4) | yes |
| `CP` | VARCHAR(50) | yes |
| `REGION` | VARCHAR(50) | yes |
| `PAIS` | VARCHAR(50) | yes |
| `TEL TRABAJO1` | VARCHAR(30) | yes |
| `EXT1` | VARCHAR(20) | yes |
| `TEL TRABAJO2` | VARCHAR(30) | yes |
| `EXT2` | VARCHAR(20) | yes |
| `Tel Casa` | VARCHAR(30) | yes |
| `Celular` | VARCHAR(30) | yes |
| `Bipper` | VARCHAR(30) | yes |
| `Fax1` | VARCHAR(30) | yes |
| `Fax2` | VARCHAR(30) | yes |
| `Tel Emerg` | VARCHAR(30) | yes |
| `Email` | VARCHAR(50) | yes |
| `Cumpleaños` | DATETIME(19) | yes |
| `Notas` | LONGCHAR(1073741823) | yes |
#### `DATGRAL`
Rows: 1070 | Columns: 25
| Column | Type | Nullable |
|---|---|---|
| `NUM id` | _(inferred: float64)_ | no |
| `NUM UTIL` | _(inferred: float64)_ | yes |
| `NOMBRE` | _(inferred: object)_ | yes |
| `DIRECCION 1` | _(inferred: object)_ | yes |
| `DIRECCION 2` | _(inferred: object)_ | yes |
| `CIUDAD` | _(inferred: object)_ | yes |
| `ESTADO` | _(inferred: object)_ | yes |
| `CODIGO` | _(inferred: object)_ | yes |
| `PAIS` | _(inferred: object)_ | yes |
| `TELUSA` | _(inferred: object)_ | yes |
| `FAX` | _(inferred: object)_ | yes |
| `TELEMERGENCIA` | _(inferred: object)_ | yes |
| `CALLE Y NO` | _(inferred: object)_ | yes |
| `COL` | _(inferred: object)_ | yes |
| `CIUD` | _(inferred: object)_ | yes |
| `EDO` | _(inferred: object)_ | yes |
| `TEL` | _(inferred: object)_ | yes |
| `EmailAddress` | _(inferred: object)_ | yes |
| `FECHA NACIMIENTO` | _(inferred: datetime64[ns])_ | yes |
| `OBSERVACIONES` | _(inferred: object)_ | yes |
| `IDISEG` | _(inferred: float64)_ | yes |
| `NUM FM` | _(inferred: float64)_ | yes |
| `NO_IDENTIFICACION` | _(inferred: object)_ | yes |
| `EXPIRA_IDENTIFICACION` | _(inferred: datetime64[ns])_ | yes |
| `TIPO_IDENTIFICACION` | _(inferred: object)_ | yes |
#### `DATOS`
Rows: 2 | Columns: 50
| Column | Type | Nullable |
|---|---|---|
| `POLIZA` | _(inferred: int64)_ | no |
| `IDCLIENTE` | _(inferred: float64)_ | no |
| `TIPO` | _(inferred: object)_ | yes |
| `FECHA SINIESTRO` | _(inferred: object)_ | yes |
| `DESCRIPCION` | _(inferred: object)_ | yes |
| `FECHA REPORTADO` | _(inferred: object)_ | yes |
| `FORMA` | _(inferred: object)_ | yes |
| `COPIA DE POLIZA` | _(inferred: bool)_ | no |
| `POLIZA LIQUIDADA` | _(inferred: bool)_ | no |
| `DAÑOS VECINOS` | _(inferred: bool)_ | no |
| `FECHA LIQUIDACION` | _(inferred: object)_ | yes |
| `COMPAÑIA` | _(inferred: object)_ | yes |
| `DESDE` | _(inferred: object)_ | yes |
| `HASTA` | _(inferred: object)_ | yes |
| `SERVICIO ADICONAL` | _(inferred: bool)_ | no |
| `COMENTARIOS PROCEDE` | _(inferred: object)_ | yes |
| `PROCEDE` | _(inferred: bool)_ | no |
| `AJUSTADOR` | _(inferred: object)_ | yes |
| `FECHA T AJUSTADOR` | _(inferred: object)_ | yes |
| `FECHA V AJUSTADOR` | _(inferred: object)_ | yes |
| `FECHA CONVENIO` | _(inferred: object)_ | yes |
| `CARTA RECLAMACION` | _(inferred: bool)_ | no |
| `CERTIFICADO M P` | _(inferred: bool)_ | no |
| `NUM M P` | _(inferred: int64)_ | no |
| `FECHA M P` | _(inferred: object)_ | yes |
| `CERT BOMBEROS` | _(inferred: bool)_ | no |
| `NUM BOMBEROS` | _(inferred: float64)_ | no |
| `FECHA BOMBEROS` | _(inferred: object)_ | yes |
| `CERT POLICIA FED` | _(inferred: bool)_ | no |
| `NUM POLICIA FED` | _(inferred: float64)_ | no |
| `FECHA POLICIA FED` | _(inferred: object)_ | yes |
| `FINIQUITO` | _(inferred: bool)_ | no |
| `NUM FINIQUITO` | _(inferred: float64)_ | no |
| `FECHA FINIQUITO` | _(inferred: object)_ | yes |
| `LESIONADOS` | _(inferred: bool)_ | no |
| `DOCUMETO(S) ADIC` | _(inferred: object)_ | yes |
| `DECLARACION ACCIDENTE` | _(inferred: object)_ | yes |
| `CANTIDAD RECLAMADA` | _(inferred: int64)_ | no |
| `CANTIDAD PACTADA` | _(inferred: int64)_ | no |
| `FECHA CHEQUE` | _(inferred: object)_ | yes |
| `RESOLUCION` | _(inferred: object)_ | yes |
| `CONCLUIDO` | _(inferred: bool)_ | no |
| `ENVIO CHEQUE` | _(inferred: bool)_ | no |
| `NUM CHEQUE` | _(inferred: float64)_ | no |
| `FECHA ACEPTACION` | _(inferred: object)_ | yes |
| `FECHA REEMBOLSO` | _(inferred: object)_ | yes |
| `SINIESTRO NUM` | _(inferred: object)_ | yes |
| `CIA AJUSTADOR` | _(inferred: object)_ | yes |
| `DOCS 1` | _(inferred: object)_ | yes |
| `DOCS 2` | _(inferred: object)_ | yes |
#### `DATOS AUTOS`
Rows: 49 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `MARCA` | VARCHAR(50) | no |
#### `DATOS AUTOS TIPO`
Rows: 133 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `TIPO` | VARCHAR(50) | no |
#### `EDOSEG`
Rows: 5 | Columns: 18
| Column | Type | Nullable |
|---|---|---|
| `NUMID` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(5) | no |
| `POLIZA` | DOUBLE(53) | no |
| `ASEGURADO` | VARCHAR(50) | yes |
| `PRIMA NETA` | DOUBLE(53) | no |
| `IVA` | DOUBLE(53) | no |
| `PRIMA TOTAL` | DOUBLE(53) | no |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | yes |
| `COMP` | VARCHAR(50) | no |
| `COM` | DOUBLE(53) | no |
| `FECHA1` | DATETIME(19) | yes |
| `FECHA2` | DATETIME(19) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `F LIQUIDA2` | DATETIME(19) | yes |
| `FECHA PAGO` | DATETIME(19) | yes |
| `FECHA PAGO 2` | DATETIME(19) | yes |
| `FORMA PAGO` | VARCHAR(10) | no |
#### `EFECTIVO`
Rows: 295 | Columns: 7
| Column | Type | Nullable |
|---|---|---|
| `CL` | DOUBLE(53) | no |
| `FECHA` | DATETIME(19) | no |
| `MONTO` | DOUBLE(53) | no |
| `MONEDAS` | VARCHAR(50) | yes |
| `CONEPTO` | VARCHAR(100) | yes |
| `F DEPOSITO` | DATETIME(19) | yes |
| `FOLIO` | COUNTER(10) | no |
#### `FECHAIF`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `FECHA INICIAL` | DATETIME(19) | no |
| `FECHA FINAL` | DATETIME(19) | no |
#### `FECHAS EDOSEG`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `FECHA1` | DATETIME(19) | no |
| `FECHA2` | DATETIME(19) | no |
#### `FECHAS PRIMA NETA`
Rows: 1 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `FECHA1` | DATETIME(19) | no |
| `FECHA2` | DATETIME(19) | no |
#### `FORMAS`
Rows: 11 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `FORMA` | VARCHAR(50) | no |
#### `IMPUESTOS`
Rows: 1 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `IVA` | DOUBLE(53) | no |
#### `IMPUESTOS_AUTOS`
Rows: 1 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `IVA` | DOUBLE(53) | no |
#### `INCENDIO`
Rows: 1 | Columns: 57
| Column | Type | Nullable |
|---|---|---|
| `NUM id` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(2) | no |
| `NO POLIZA` | INTEGER(10) | no |
| `FOLIO` | INTEGER(10) | no |
| `NOMBRE ASEG` | VARCHAR(50) | no |
| `COMP` | VARCHAR(50) | no |
| `AGENT` | VARCHAR(20) | no |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | no |
| `FORMA PAGO` | VARCHAR(10) | no |
| `VIG 1` | DATETIME(19) | no |
| `VIG 2` | DATETIME(19) | yes |
| `VIG 3` | DATETIME(19) | yes |
| `VIG 4` | DATETIME(19) | yes |
| `MONEDA` | VARCHAR(7) | no |
| `1ER PAGO` | DOUBLE(53) | no |
| `PAGO SUBSEC` | DOUBLE(53) | no |
| `FECHA PAGO` | DATETIME(19) | no |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `FECHA PAGO 2` | DATETIME(19) | yes |
| `MONED 2` | VARCHAR(7) | yes |
| `EFECTIVO 2` | BIT(1) | no |
| `NO CHEQUE 2` | VARCHAR(50) | yes |
| `FECHA PAGO 3` | DATETIME(19) | yes |
| `MONED 3` | VARCHAR(7) | yes |
| `EFECTIVO 3` | BIT(1) | no |
| `NO CHEQUE 3` | VARCHAR(50) | yes |
| `FECHA PAGO 4` | DATETIME(19) | yes |
| `MONED 4` | VARCHAR(7) | yes |
| `EFECTIVO 4` | BIT(1) | no |
| `NO CHEQUE 4` | VARCHAR(50) | yes |
| `P NETA` | DOUBLE(53) | no |
| `P NETA 2` | DOUBLE(53) | no |
| `RECARGO` | DOUBLE(53) | no |
| `RECARGO 2` | DOUBLE(53) | no |
| `D POL` | DOUBLE(53) | no |
| `D POL 2` | DOUBLE(53) | no |
| `COM` | DOUBLE(53) | no |
| `COM 2` | DOUBLE(53) | no |
| `LIQUIDADA` | BIT(1) | no |
| `LIQUIDADA 2` | BIT(1) | no |
| `EDIFICIO` | DOUBLE(53) | no |
| `EDIF TERREMOTO` | BIT(1) | no |
| `CONTENIDOS` | DOUBLE(53) | no |
| `CONT TERREMOTO` | BIT(1) | no |
| `CONSTRUCCION` | LONGCHAR(1073741823) | yes |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `RENOVACION` | DOUBLE(53) | no |
| `NUM LIQUIDACION` | VARCHAR(50) | no |
| `NUM LIQUIDACION2` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | no |
| `F LIQUIDA2` | DATETIME(19) | yes |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(30) | yes |
| `EDO` | VARCHAR(2) | yes |
| `TEL` | VARCHAR(8) | yes |
#### `LICENCIAS`
Rows: 309 | Columns: 51
| Column | Type | Nullable |
|---|---|---|
| `NO POLIZA` | VARCHAR(50) | no |
| `FOLIO` | INTEGER(10) | yes |
| `NUMER ID` | DOUBLE(53) | no |
| `P ANTERIOR` | INTEGER(10) | yes |
| `LETPOL` | VARCHAR(4) | no |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(15) | yes |
| `EDO` | VARCHAR(2) | no |
| `TEL` | VARCHAR(8) | yes |
| `COMP` | VARCHAR(30) | yes |
| `CONTR` | DOUBLE(53) | no |
| `AGENT` | VARCHAR(20) | yes |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | yes |
| `FORMA PAGO` | VARCHAR(10) | yes |
| `MONEDA` | VARCHAR(7) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `COBERTURA` | INTEGER(10) | yes |
| `NOMBRE ASEG 1` | VARCHAR(30) | yes |
| `LIC 1` | VARCHAR(20) | yes |
| `EDO 1` | VARCHAR(2) | yes |
| `NOMBRE ASEG 2` | VARCHAR(30) | yes |
| `LIC 2` | VARCHAR(20) | yes |
| `EDO 2` | VARCHAR(2) | yes |
| `NOMBRE ASEG 3` | VARCHAR(30) | yes |
| `LIC 3` | VARCHAR(20) | yes |
| `EDO 3` | VARCHAR(2) | yes |
| `PROPIEDADES` | DOUBLE(53) | yes |
| `PERSONAS` | DOUBLE(53) | yes |
| `CSL LIMITE` | INTEGER(10) | yes |
| `GASTOS MEDICO` | DOUBLE(53) | yes |
| `SERVICIO ADICIONAL` | BIT(1) | no |
| `CLAVE` | DOUBLE(53) | yes |
| `HORA` | DATETIME(19) | yes |
| `$ TOT` | DOUBLE(53) | no |
| `PRIMA NETA` | DOUBLE(53) | no |
| `D POLIZA` | DOUBLE(53) | no |
| `TOTAL` | DOUBLE(53) | no |
| `ACCIDENTE` | DOUBLE(53) | no |
| `RENOVACION` | DOUBLE(53) | no |
| `LIQUIDADA` | BIT(1) | no |
| `NUM LIQUIDACION` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `F EMISION` | DATETIME(19) | no |
| `ENDOSO` | BIT(1) | no |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `SERV CIA` | BIT(1) | no |
| `RENT` | BIT(1) | no |
#### `LIQUIDA SELLO`
Rows: 1 | Columns: 4
| Column | Type | Nullable |
|---|---|---|
| `TECLEE LIQUIDACION` | VARCHAR(50) | no |
| `FECHA SELLO` | DATETIME(19) | no |
| `CH COMISION1N` | VARCHAR(50) | no |
| `CH COMISION1F` | DATETIME(19) | no |
#### `LIQUIDAAD`
Rows: 7 | Columns: 6
| Column | Type | Nullable |
|---|---|---|
| `POLIZA` | VARCHAR(50) | no |
| `VIGENCIA INICIAL` | DATETIME(19) | no |
| `PRIMA NETA` | DOUBLE(53) | no |
| `DERECHO DE PÓLIZA` | DOUBLE(53) | no |
| `COM` | DOUBLE(53) | no |
| `OBSERVACIONES` | VARCHAR(50) | no |
#### `M EMPR`
Rows: 5 | Columns: 73
| Column | Type | Nullable |
|---|---|---|
| `NUM id` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(2) | no |
| `NO POLIZA` | INTEGER(10) | no |
| `FOLIO` | INTEGER(10) | no |
| `NOMBRE ASEG` | VARCHAR(50) | no |
| `COMP` | VARCHAR(50) | no |
| `AGENT` | VARCHAR(20) | yes |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | yes |
| `FORMA PAGO` | VARCHAR(10) | no |
| `VIG 1` | DATETIME(19) | yes |
| `VIG 2` | DATETIME(19) | yes |
| `VIG 3` | DATETIME(19) | yes |
| `VIG 4` | DATETIME(19) | yes |
| `1ER PAGO` | DOUBLE(53) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `MONED` | VARCHAR(7) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `PAGO SUBSEC` | DOUBLE(53) | no |
| `FECHA PAGO 2` | DATETIME(19) | yes |
| `MONED 2` | VARCHAR(7) | yes |
| `EFECTIVO 2` | BIT(1) | no |
| `NO CHEQUE 2` | VARCHAR(50) | yes |
| `FECHA PAGO 3` | DATETIME(19) | yes |
| `MONED 3` | VARCHAR(7) | yes |
| `EFECTIVO 3` | BIT(1) | no |
| `NO CHEQUE 3` | VARCHAR(50) | yes |
| `FECHA PAGO 4` | DATETIME(19) | yes |
| `MONED 4` | VARCHAR(7) | yes |
| `EFECTIVO 4` | BIT(1) | no |
| `NO CHEQUE 4` | VARCHAR(50) | yes |
| `P NETA` | DOUBLE(53) | no |
| `P NETA 2` | DOUBLE(53) | no |
| `RECARGO` | DOUBLE(53) | no |
| `RECARGO 2` | DOUBLE(53) | no |
| `D POL` | DOUBLE(53) | no |
| `D POL 2` | DOUBLE(53) | no |
| `COM` | DOUBLE(53) | no |
| `COM 2` | DOUBLE(53) | no |
| `LIQUIDADA` | BIT(1) | no |
| `LIQUIDADA 2` | BIT(1) | no |
| `LIQUIDADA 3` | BIT(1) | no |
| `LIQUIDADA 4` | BIT(1) | no |
| `EDIFICIO` | DOUBLE(53) | no |
| `EDIF TERREMOTO` | BIT(1) | no |
| `CONTENIDOS` | DOUBLE(53) | no |
| `CONT TERREMOTO` | BIT(1) | no |
| `R CIVIL ACT` | DOUBLE(53) | no |
| `R CIVIL ARREND` | DOUBLE(53) | no |
| `ROBO C VIOLENCIA` | DOUBLE(53) | no |
| `CRISTALES` | DOUBLE(53) | no |
| `ANUNCIOS LUM` | INTEGER(10) | no |
| `DIN Y VALORES` | INTEGER(10) | no |
| `PLANTA BAJA` | VARCHAR(50) | yes |
| `PLANTA ALTA` | VARCHAR(50) | yes |
| `CONSTRUCCION` | LONGCHAR(1073741823) | yes |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `RENOVACION` | DOUBLE(53) | no |
| `NUM LIQUIDACION` | VARCHAR(50) | yes |
| `NUM LIQUIDACION2` | VARCHAR(50) | yes |
| `NUM LIQUIDACION3` | VARCHAR(50) | yes |
| `NUM LIQUIDACION4` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `F LIQUIDA2` | DATETIME(19) | yes |
| `F LIQUIDA3` | DATETIME(19) | yes |
| `F LIQUIDA4` | DATETIME(19) | yes |
| `CALLE Y NO` | VARCHAR(30) | no |
| `COL` | VARCHAR(30) | yes |
| `EDO` | VARCHAR(2) | yes |
| `TEL` | VARCHAR(8) | yes |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `CONFIRMA L2` | DATETIME(19) | yes |
#### `MCA2`
Rows: 4 | Columns: 83
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(3) | no |
| `POLIZA` | VARCHAR(50) | no |
| `FOLIO` | INTEGER(10) | no |
| `COMP` | VARCHAR(50) | no |
| `AGENT` | VARCHAR(20) | yes |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | yes |
| `COBERTURA` | INTEGER(10) | no |
| `FORMA PAGO` | VARCHAR(10) | yes |
| `1ER PAGO` | DOUBLE(53) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `MONED` | VARCHAR(7) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `PROPIEDADES` | DOUBLE(53) | no |
| `PERSONAS` | DOUBLE(53) | no |
| `GASTOS MEDICO` | DOUBLE(53) | no |
| `AÑO1` | VARCHAR(2) | yes |
| `MARCA1` | VARCHAR(15) | no |
| `MODELO1` | VARCHAR(15) | no |
| `AUTO ID1` | VARCHAR(20) | no |
| `CLASE1` | VARCHAR(50) | yes |
| `PLACA1` | VARCHAR(7) | yes |
| `EDO1` | VARCHAR(2) | yes |
| `AÑO2` | VARCHAR(2) | yes |
| `MARCA2` | VARCHAR(15) | yes |
| `MODELO2` | VARCHAR(15) | yes |
| `AUTO ID2` | VARCHAR(20) | yes |
| `CLASE2` | VARCHAR(50) | yes |
| `PLACA2` | VARCHAR(7) | yes |
| `EDO2` | VARCHAR(2) | yes |
| `AÑO3` | VARCHAR(2) | yes |
| `MARCA3` | VARCHAR(15) | yes |
| `MODELO3` | VARCHAR(15) | yes |
| `AUTO ID3` | VARCHAR(20) | yes |
| `CLASE3` | VARCHAR(50) | yes |
| `PLACA3` | VARCHAR(7) | yes |
| `EDO3` | VARCHAR(2) | yes |
| `PRIMA1` | CURRENCY(19) | yes |
| `D POLIZA1` | CURRENCY(19) | yes |
| `NAME1` | VARCHAR(40) | yes |
| `BIRTH1` | DATETIME(19) | yes |
| `EDAD1` | VARCHAR(2) | yes |
| `LIC1` | VARCHAR(20) | yes |
| `LICEDO1` | VARCHAR(2) | yes |
| `OCUP1` | VARCHAR(50) | yes |
| `NAME2` | VARCHAR(40) | yes |
| `BIRTH2` | DATETIME(19) | yes |
| `EDAD2` | VARCHAR(2) | yes |
| `LIC2` | VARCHAR(20) | yes |
| `LICEDO2` | VARCHAR(2) | yes |
| `OCUP2` | VARCHAR(50) | yes |
| `NAME3` | VARCHAR(40) | yes |
| `BIRTH3` | DATETIME(19) | yes |
| `EDAD3` | VARCHAR(2) | yes |
| `LIC3` | VARCHAR(20) | yes |
| `LICEDO3` | VARCHAR(2) | yes |
| `OCUP3` | VARCHAR(50) | yes |
| `POLIZA ANT` | VARCHAR(10) | yes |
| `FECHA PAGO` | DATETIME(19) | yes |
| `PAGO` | DOUBLE(53) | no |
| `CHEQUE` | VARCHAR(4) | yes |
| `LIQUIDADA` | BIT(1) | no |
| `OB1` | LONGCHAR(1073741823) | yes |
| `OB2` | LONGCHAR(1073741823) | yes |
| `OB3` | LONGCHAR(1073741823) | yes |
| `PRIMA CO` | DOUBLE(53) | yes |
| `D POLIZA CO` | DOUBLE(53) | yes |
| `NULIQUIDA` | VARCHAR(50) | yes |
| `RENOVACION` | DOUBLE(53) | yes |
| `CSL LIMITE` | INTEGER(10) | no |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `CONTR` | DOUBLE(53) | no |
| `DIAS` | BIT(1) | no |
| `SEX1` | VARCHAR(1) | yes |
| `SEX2` | VARCHAR(1) | yes |
| `AM` | BIT(1) | no |
| `HORA1` | VARCHAR(5) | no |
| `HORA2` | VARCHAR(5) | no |
| `MP` | DOUBLE(53) | yes |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `RENT` | BIT(1) | no |
#### `MULT`
Rows: 763 | Columns: 82
| Column | Type | Nullable |
|---|---|---|
| `NUM id` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(2) | no |
| `NO POLIZA` | DOUBLE(53) | no |
| `FOLIO` | VARCHAR(50) | yes |
| `NOMBRE ASEG` | VARCHAR(50) | yes |
| `COMP` | VARCHAR(50) | no |
| `AGENT` | VARCHAR(20) | no |
| `DESDE` | DATETIME(19) | yes |
| `HASTA` | DATETIME(19) | yes |
| `FORMA PAGO` | VARCHAR(10) | yes |
| `VIG 1` | DATETIME(19) | yes |
| `VIG 2` | DATETIME(19) | yes |
| `VIG 3` | DATETIME(19) | yes |
| `VIG 4` | DATETIME(19) | yes |
| `1ER PAGO` | DOUBLE(53) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `MONED` | VARCHAR(7) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `PAGO SUBSEC` | DOUBLE(53) | yes |
| `FECHA PAGO 2` | DATETIME(19) | yes |
| `MONED 2` | VARCHAR(7) | yes |
| `EFECTIVO 2` | BIT(1) | no |
| `NO CHEQUE 2` | VARCHAR(50) | yes |
| `FECHA PAGO 3` | DATETIME(19) | yes |
| `MONED 3` | VARCHAR(7) | yes |
| `EFECTIVO 3` | BIT(1) | no |
| `NO CHEQUE 3` | VARCHAR(50) | yes |
| `FECHA PAGO 4` | DATETIME(19) | yes |
| `MONED 4` | VARCHAR(7) | yes |
| `EFECTIVO 4` | BIT(1) | no |
| `NO CHEQUE 4` | VARCHAR(50) | yes |
| `P NETA` | DOUBLE(53) | no |
| `P NETA 2` | DOUBLE(53) | yes |
| `RECARGO` | DOUBLE(53) | no |
| `RECARGO 2` | DOUBLE(53) | yes |
| `D POL` | DOUBLE(53) | no |
| `D POL 2` | DOUBLE(53) | no |
| `COM` | DOUBLE(53) | no |
| `COM 2` | DOUBLE(53) | yes |
| `LIQUIDADA` | BIT(1) | no |
| `LIQUIDADA 2` | BIT(1) | no |
| `EDIFICIO` | DOUBLE(53) | yes |
| `EDIF TERREMOTO` | BIT(1) | no |
| `CONTENIDOS` | DOUBLE(53) | no |
| `CONT TERREMOTO` | BIT(1) | no |
| `R CIVIL FAMILIAR` | DOUBLE(53) | no |
| `R CIVIL ARREND` | DOUBLE(53) | yes |
| `ROBO C VIOLENCIA` | DOUBLE(53) | yes |
| `CRISTALES` | DOUBLE(53) | no |
| `PLANTA BAJA` | VARCHAR(50) | yes |
| `PLANTA ALTA` | VARCHAR(50) | yes |
| `CONSTRUCCION` | LONGCHAR(1073741823) | yes |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `RENOVACION` | DOUBLE(53) | yes |
| `NUM LIQUIDACION` | VARCHAR(50) | yes |
| `NUM LIQUIDACION2` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `F LIQUIDA2` | DATETIME(19) | yes |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(30) | yes |
| `EDO` | VARCHAR(2) | yes |
| `CP` | VARCHAR(50) | yes |
| `TEL` | VARCHAR(8) | yes |
| `CONDO` | BIT(1) | no |
| `TIPO` | VARCHAR(50) | yes |
| `DESCR EDIFICIO` | VARCHAR(100) | yes |
| `MUROS` | VARCHAR(100) | yes |
| `TECHO` | VARCHAR(100) | yes |
| `HIDR` | BIT(1) | no |
| `FOTO1` | LONGBINARY(1073741823) | yes |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `CONFIRMA L2` | DATETIME(19) | yes |
| `CH CONF L1N` | VARCHAR(50) | yes |
| `CH CONF L2N` | VARCHAR(50) | yes |
| `CH COMISION1NU` | VARCHAR(50) | yes |
| `CH COMISION2NU` | VARCHAR(50) | yes |
| `COMISION2FE` | DATETIME(19) | yes |
| `COMISION1FE` | DATETIME(19) | yes |
| `COPIA B` | VARCHAR(2) | yes |
| `DOCS 1` | LONGBINARY(1073741823) | yes |
| `DOCS 2` | LONGBINARY(1073741823) | yes |
#### `RECIBONOCLIENT`
Rows: 1 | Columns: 4
| Column | Type | Nullable |
|---|---|---|
| `NOMBRE CLIENTE` | VARCHAR(50) | no |
| `CONCEPTO` | VARCHAR(200) | no |
| `CANTIDAD` | DOUBLE(53) | no |
| `MONEDAS` | VARCHAR(50) | no |
#### `TABLA AUTOS`
Rows: 804 | Columns: 55
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(4) | no |
| `NO POLIZA` | VARCHAR(50) | no |
| `P ANTERIOR` | INTEGER(10) | yes |
| `FOLIO` | INTEGER(10) | yes |
| `NOMBRE ASEG` | VARCHAR(50) | yes |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(15) | yes |
| `EDO` | VARCHAR(2) | no |
| `TEL` | VARCHAR(8) | yes |
| `COMP` | VARCHAR(30) | yes |
| `AGENT` | VARCHAR(20) | yes |
| `DESDE` | DATETIME(19) | yes |
| `HASTA` | DATETIME(19) | yes |
| `FORMA PAGO` | VARCHAR(10) | yes |
| `CONTR` | DOUBLE(53) | yes |
| `MONEDA` | VARCHAR(7) | yes |
| `FECHA PAGO` | DATETIME(19) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `MARCA 1` | VARCHAR(20) | yes |
| `MODELO 1` | VARCHAR(2) | yes |
| `CARROCERIA 1` | VARCHAR(20) | yes |
| `MOTOR 1` | VARCHAR(20) | yes |
| `PLACA 1` | VARCHAR(50) | yes |
| `MARCA 2` | VARCHAR(20) | yes |
| `MODELO 2` | VARCHAR(4) | yes |
| `CARROCERIA 2` | VARCHAR(20) | yes |
| `MOTOR 2` | VARCHAR(20) | yes |
| `PLACA 2` | VARCHAR(50) | yes |
| `MARCA 3` | VARCHAR(50) | yes |
| `MODELO 3` | VARCHAR(50) | yes |
| `CARROCERIA 3` | VARCHAR(50) | yes |
| `MOTOR 3` | VARCHAR(50) | yes |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `COBERTURA` | INTEGER(10) | yes |
| `PROPIEDADES` | DOUBLE(53) | yes |
| `PERSONAS` | DOUBLE(53) | yes |
| `CSL LIMITE` | INTEGER(10) | yes |
| `GASTOS MEDICO` | DOUBLE(53) | yes |
| `SERVICIO ADICIONAL` | BIT(1) | no |
| `CLAVE` | DOUBLE(53) | no |
| `HORA` | DATETIME(19) | yes |
| `PRIMA NETA` | DOUBLE(53) | no |
| `D POLIZA` | DOUBLE(53) | no |
| `TOTAL` | DOUBLE(53) | no |
| `LIQUIDADA` | BIT(1) | no |
| `RENOVACION` | DOUBLE(53) | yes |
| `F EMISION` | DATETIME(19) | yes |
| `ENDOSO` | BIT(1) | no |
| `NUM LIQUIDACION` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `SERV CIA` | BIT(1) | no |
| `RENT` | BIT(1) | no |
#### `TABLA AUTOS AMPL`
Rows: 478 | Columns: 61
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(4) | no |
| `NO POLIZA` | VARCHAR(50) | no |
| `P ANTERIOR` | INTEGER(10) | yes |
| `FOLIO` | INTEGER(10) | no |
| `NOMBRE ASEG` | VARCHAR(50) | yes |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(15) | yes |
| `EDO` | VARCHAR(2) | no |
| `TEL` | VARCHAR(8) | yes |
| `COMP` | VARCHAR(30) | yes |
| `CONTR` | DOUBLE(53) | yes |
| `AGENT` | VARCHAR(20) | yes |
| `DESDE` | DATETIME(19) | yes |
| `HASTA` | DATETIME(19) | yes |
| `FORMA PAGO` | VARCHAR(10) | no |
| `MONEDA` | VARCHAR(7) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `MARCA` | VARCHAR(20) | yes |
| `MODELO` | VARCHAR(2) | yes |
| `CARROCERIA` | VARCHAR(20) | yes |
| `MOTOR` | VARCHAR(20) | yes |
| `PLACA` | VARCHAR(50) | yes |
| `COLISION` | DOUBLE(53) | yes |
| `SUMA ROBO` | DOUBLE(53) | yes |
| `GASTOS MEDICO` | DOUBLE(53) | yes |
| `ENDOSO` | BIT(1) | no |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `COBERTURA` | INTEGER(10) | yes |
| `PROPIEDADES` | DOUBLE(53) | yes |
| `PERSONAS` | DOUBLE(53) | yes |
| `CSL LIMITE` | INTEGER(10) | yes |
| `SERVICIO ADICIONAL` | BIT(1) | no |
| `CLAVE` | DOUBLE(53) | yes |
| `HORA` | DATETIME(19) | yes |
| `PRIMA NETA` | DOUBLE(53) | no |
| `D POLIZA` | DOUBLE(53) | no |
| `TOTAL` | DOUBLE(53) | no |
| `LIQUIDADA` | BIT(1) | no |
| `RENOVACION` | DOUBLE(53) | yes |
| `EXTENDED COVERAGE` | BIT(1) | no |
| `F EMISION` | DATETIME(19) | no |
| `CUBIERTO CON` | VARCHAR(10) | yes |
| `NUM LIQUIDACION` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `ROBO%` | DOUBLE(53) | no |
| `COLI%` | DOUBLE(53) | no |
| `SERV CIA` | BIT(1) | no |
| `FOTO1` | LONGBINARY(1073741823) | yes |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `PLACAS` | VARCHAR(50) | yes |
| `D MATERIAL` | VARCHAR(50) | yes |
| `R TOTAL` | VARCHAR(50) | yes |
| `VALOR AUTO` | DOUBLE(53) | yes |
| `LOSS` | BIT(1) | no |
| `RENT` | BIT(1) | no |
| `COPIA B` | VARCHAR(2) | yes |
| `DOCS 1` | LONGBINARY(1073741823) | yes |
| `DOCS 2` | LONGBINARY(1073741823) | yes |
#### `TABLA AUTOS AMPL R`
Rows: 14 | Columns: 56
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(4) | no |
| `NO POLIZA` | VARCHAR(50) | no |
| `NOMBRE ASEG` | VARCHAR(50) | no |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(15) | yes |
| `EDO` | VARCHAR(2) | no |
| `TEL` | VARCHAR(8) | yes |
| `COM` | DOUBLE(53) | yes |
| `COM 2` | DOUBLE(53) | yes |
| `COMP` | VARCHAR(30) | no |
| `AGENT` | VARCHAR(20) | yes |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | yes |
| `VIG 1` | DATETIME(19) | yes |
| `VIG 2` | DATETIME(19) | yes |
| `1ER PAGO` | DOUBLE(53) | yes |
| `FORMA PAGO` | VARCHAR(10) | no |
| `MONEDA` | VARCHAR(7) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `PAGO SUBSEC` | DOUBLE(53) | yes |
| `FECHA PAGO 2` | DATETIME(19) | yes |
| `MONED 2` | VARCHAR(7) | yes |
| `EFECTIVO 2` | BIT(1) | no |
| `NO CHEQUE 2` | VARCHAR(50) | yes |
| `MARCA` | VARCHAR(20) | no |
| `MODELO` | VARCHAR(2) | yes |
| `CARROCERIA` | VARCHAR(20) | no |
| `MOTOR` | VARCHAR(20) | no |
| `COLISION` | VARCHAR(50) | no |
| `SUMA ROBO` | VARCHAR(50) | no |
| `GASTOS MEDICO` | DOUBLE(53) | no |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `COBERTURA` | INTEGER(10) | no |
| `PROPIEDADES` | DOUBLE(53) | no |
| `CLAVE` | DOUBLE(53) | yes |
| `PRIMA NETA` | DOUBLE(53) | no |
| `PRIMA NETA2` | DOUBLE(53) | yes |
| `RECARGO` | DOUBLE(53) | no |
| `RECARGO 2` | DOUBLE(53) | yes |
| `D POLIZA` | DOUBLE(53) | no |
| `D POLIZA2` | DOUBLE(53) | yes |
| `LIQUIDADA` | BIT(1) | no |
| `LIQUIDADA 2` | BIT(1) | no |
| `RENOVACION` | DOUBLE(53) | yes |
| `A JURIDICA` | BIT(1) | no |
| `A CAMINO` | BIT(1) | no |
| `NUM LIQUIDACION` | VARCHAR(50) | yes |
| `NUM LIQUIDACION2` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `F LIQUIDA2` | DATETIME(19) | yes |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `CONFIRMA L2` | DATETIME(19) | yes |
| `RENT` | BIT(1) | no |
#### `TABLA AUTOS LIMIT`
Rows: 1 | Columns: 38
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(4) | no |
| `NO POLIZA` | INTEGER(10) | no |
| `FOLIO` | INTEGER(10) | no |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(15) | yes |
| `EDO` | VARCHAR(2) | no |
| `TEL` | VARCHAR(8) | yes |
| `COMP` | VARCHAR(30) | no |
| `CONTR` | DOUBLE(53) | no |
| `AGENT` | VARCHAR(20) | no |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | no |
| `FORMA PAGO` | VARCHAR(10) | no |
| `MONEDA` | VARCHAR(7) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `MARCA` | VARCHAR(20) | no |
| `MODELO` | VARCHAR(2) | no |
| `CARROCERIA` | VARCHAR(20) | no |
| `MOTOR` | VARCHAR(20) | no |
| `SUMA ROBO` | DOUBLE(53) | no |
| `GASTOS MEDICO` | DOUBLE(53) | no |
| `ENDOSO` | BIT(1) | no |
| `OBSERVACIONES` | LONGCHAR(1073741823) | yes |
| `COBERTURA` | INTEGER(10) | no |
| `PROPIEDADES` | DOUBLE(53) | no |
| `PERSONAS` | DOUBLE(53) | no |
| `SERVICIO ADICIONAL` | BIT(1) | no |
| `CLAVE` | DOUBLE(53) | no |
| `HORA` | DATETIME(19) | no |
| `PRIMA NETA` | DOUBLE(53) | no |
| `D POLIZA` | DOUBLE(53) | no |
| `IVA` | DOUBLE(53) | no |
| `TOTAL` | DOUBLE(53) | no |
| `LIQUIDADA` | BIT(1) | no |
| `RENOVACION` | DOUBLE(53) | no |
#### `TABLA AUTOS RC R`
Rows: 8 | Columns: 57
| Column | Type | Nullable |
|---|---|---|
| `NUMER ID` | DOUBLE(53) | no |
| `LETPOL` | VARCHAR(4) | no |
| `NO POLIZA` | VARCHAR(50) | no |
| `NOMBRE ASEG` | VARCHAR(50) | yes |
| `CALLE Y NO` | VARCHAR(30) | yes |
| `COL` | VARCHAR(15) | yes |
| `EDO` | VARCHAR(2) | no |
| `TEL` | VARCHAR(8) | yes |
| `COMP` | VARCHAR(30) | yes |
| `COM` | DOUBLE(53) | yes |
| `COM 2` | DOUBLE(53) | yes |
| `AGENT` | VARCHAR(20) | yes |
| `DESDE` | DATETIME(19) | no |
| `HASTA` | DATETIME(19) | yes |
| `VIG 1` | DATETIME(19) | yes |
| `1ER PAGO` | DOUBLE(53) | no |
| `FORMA PAGO` | VARCHAR(10) | no |
| `MONEDA` | VARCHAR(7) | no |
| `FECHA PAGO` | DATETIME(19) | yes |
| `EFECTIVO` | BIT(1) | no |
| `NO CHEQUE` | VARCHAR(4) | yes |
| `PAGO SUBSEC` | DOUBLE(53) | yes |
| `FECHA PAGO 2` | DATETIME(19) | yes |
| `MONED 2` | VARCHAR(7) | yes |
| `EFECTIVO 2` | BIT(1) | no |
| `NO CHEQUE 2` | VARCHAR(50) | yes |
| `MARCA` | VARCHAR(20) | yes |
| `MODELO` | VARCHAR(2) | yes |
| `CARROCERIA` | VARCHAR(20) | yes |
| `MOTOR` | VARCHAR(20) | yes |
| `GASTOS MEDICO` | DOUBLE(53) | no |
| `ENDOSO` | BIT(1) | no |
| `OBSERVACIONES` | LONGCHAR(1073741823) | no |
| `COBERTURA` | INTEGER(10) | no |
| `PROPIEDADES` | DOUBLE(53) | no |
| `SERVICIO ADICIONAL` | BIT(1) | no |
| `CLAVE` | DOUBLE(53) | yes |
| `HORA` | DATETIME(19) | no |
| `PRIMA NETA` | DOUBLE(53) | no |
| `PRIMA NETA2` | DOUBLE(53) | no |
| `RECARGO` | DOUBLE(53) | no |
| `RECARGO 2` | DOUBLE(53) | no |
| `D POLIZA` | DOUBLE(53) | no |
| `D POLIZA2` | DOUBLE(53) | no |
| `LIQUIDADA` | BIT(1) | no |
| `LIQUIDADA 2` | BIT(1) | no |
| `RENOVACION` | DOUBLE(53) | yes |
| `A JURIDICA` | BIT(1) | no |
| `A CAMINO` | BIT(1) | no |
| `F EMISION` | DATETIME(19) | no |
| `NUM LIQUIDACION` | VARCHAR(50) | yes |
| `NUM LIQUIDACION2` | VARCHAR(50) | yes |
| `F LIQUIDA1` | DATETIME(19) | yes |
| `F LIQUIDA2` | DATETIME(19) | yes |
| `CONFIRMA L1` | DATETIME(19) | yes |
| `CONFIRMA L2` | DATETIME(19) | yes |
| `RENT` | BIT(1) | no |
#### `TABLE DATOS LIQUIDA MCA2`
Rows: 1 | Columns: 7
| Column | Type | Nullable |
|---|---|---|
| `COMPANIA` | VARCHAR(50) | no |
| `AGENTE` | VARCHAR(50) | no |
| `CLAVE` | DOUBLE(53) | no |
| `CONTROL` | VARCHAR(50) | no |
| `FECHA INI` | DATETIME(19) | no |
| `FECHA FIN` | DATETIME(19) | no |
| `MENSAJE` | LONGCHAR(1073741823) | yes |
#### `TABLE DATOS LIQUIDA MF`
Rows: 1 | Columns: 5
| Column | Type | Nullable |
|---|---|---|
| `COMPANIA` | VARCHAR(50) | no |
| `AGENTE` | VARCHAR(50) | no |
| `CONTROL` | VARCHAR(50) | no |
| `FECHA INI` | DATETIME(19) | no |
| `FECHA FIN` | DATETIME(19) | no |
#### `TABLE DATOS LIQUIDA RES`
Rows: 1 | Columns: 6
| Column | Type | Nullable |
|---|---|---|
| `COMPANIA` | VARCHAR(50) | no |
| `AGENTE` | VARCHAR(50) | no |
| `CLAVE` | DOUBLE(53) | no |
| `CONTROL` | VARCHAR(50) | no |
| `FECHA INI` | DATETIME(19) | no |
| `FECHA FIN` | DATETIME(19) | no |
#### `TABLE DATOS LIQUIDA TUR`
Rows: 1 | Columns: 7
| Column | Type | Nullable |
|---|---|---|
| `COMPANIA` | VARCHAR(50) | no |
| `AGENTE` | VARCHAR(50) | no |
| `CLAVE` | DOUBLE(53) | no |
| `CONTROL` | VARCHAR(50) | no |
| `FECHA INI` | DATETIME(19) | no |
| `FECHA FIN` | DATETIME(19) | no |
| `EXT COVERAGE` | DOUBLE(53) | yes |
#### `TIPOS`
Rows: 4 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `TIPO` | VARCHAR(50) | no |
#### `UTILSEG`
Rows: 1582 | Columns: 3
| Column | Type | Nullable |
|---|---|---|
| `NOMBRE` | VARCHAR(50) | yes |
| `SEGUROS` | INTEGER(10) | yes |
| `UTIL` | INTEGER(10) | yes |
#### `gen1`
Rows: 9 | Columns: 6
| Column | Type | Nullable |
|---|---|---|
| `RFC` | VARCHAR(50) | yes |
| `CLAVE` | DOUBLE(53) | yes |
| `COMP` | VARCHAR(30) | yes |
| `FPAGO` | VARCHAR(10) | yes |
| `MONED` | VARCHAR(7) | yes |
| `gen2_ID` | INTEGER(10) | no |
#### `gen2`
Rows: 14 | Columns: 2
| Column | Type | Nullable |
|---|---|---|
| `AGENT` | VARCHAR(20) | yes |
| `ID` | COUNTER(10) | no |
#### Excluded tables
| Table | Rows |
|---|---|
| `AMPL MENS` | 1 |
| `AMPL R MENS` | 1 |
| `BORRA` | 1 |
| `GENERICO_OLD` | 6 |
| `ID TABLA` | 0 |
| `ID TABLATLAS` | 0 |
| `IN MENS` | 1 |
| `LIC MENS` | 1 |
| `MCA2 MENS` | 1 |
| `ME MENS` | 1 |
| `MF MENS` | 1 |
| `RC MENSAJE` | 1 |
| `RC R MENS` | 1 |
| `TABLA AUTOS LIMIT R` | 0 |
| `TABLA LIQUIDA MCA2` | 0 |
| `TABLA LIQUIDA MF` | 0 |
| `TABLA LIQUIDA RES` | 0 |
| `TABLA LIQUIDA TUR` | 0 |
| `TABLA LIQUIDA TUR ENDOSO` | 0 |
| `TIT` | 1 |
| `TODOS` | 0 |
| `TODOSJC` | 569 |
| `vigenta casa y auto unicos` | 1733 |
### SCOTHIA.mdb
7 tables total — 4 included in migration, 3 excluded (scratch/template/report tables).
#### `DATOS E`
Rows: 15406 | Columns: 8
| Column | Type | Nullable |
|---|---|---|
| `FECHA` | DATETIME(19) | no |
| `TIPO` | VARCHAR(50) | no |
| `NUM` | DOUBLE(53) | yes |
| `CONCEPTO` | VARCHAR(50) | yes |
| `EGRESO` | DOUBLE(53) | no |
| `OPERADO` | BIT(1) | no |
| `NOTAS` | VARCHAR(100) | yes |
| `CANTIDAD EN LETRA` | VARCHAR(100) | yes |
#### `DATOS I`
Rows: 6948 | Columns: 8
| Column | Type | Nullable |
|---|---|---|
| `FECHA` | DATETIME(19) | no |
| `TIPO` | VARCHAR(50) | no |
| `NUM` | DOUBLE(53) | yes |
| `CONCEPTO` | VARCHAR(50) | yes |
| `INGRESO` | DOUBLE(53) | no |
| `OPERADO` | BIT(1) | no |
| `NOTAS` | VARCHAR(100) | yes |
| `TRANSFERIDO` | BIT(1) | no |
#### `TABLA RAMODOS`
Rows: 66 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `RAMO2` | VARCHAR(50) | no |
#### `ban`
Rows: 1 | Columns: 1
| Column | Type | Nullable |
|---|---|---|
| `banco` | VARCHAR(50) | no |
#### Excluded tables
| Table | Rows |
|---|---|
| `FECHAIF` | 1 |
| `INFORME` | 0 |
| `INFORME BA` | 0 |
Reference in New Issue View Git Blame Copy Permalink