TxtToPG: Convert Plain Text to PostgreSQL Schema Fast

TxtToPG: Convert Plain Text to PostgreSQL Schema Fast

What it is

TxtToPG is a tool/workflow that automatically converts plain text data files (CSV, TSV, fixed-width, or other delimited TXT files) into a ready-to-use PostgreSQL schema and imports the data.

Key features

  • Automatic schema inference: Detects column names, types (integer, float, boolean, date/time, text), and appropriate NULLability.
  • Delimiter support: Works with commas, tabs, pipes, semicolons, or custom delimiters.
  • Data cleaning: Handles trimming, quoting, escaped characters, and common malformed rows.
  • Index and key suggestions: Suggests primary keys and indexes based on uniqueness checks and column usage.
  • Batch import: Generates COPY commands or bulk INSERTs optimized for PostgreSQL performance.
  • Preview mode: Shows inferred schema and sample rows before applying changes.
  • CLI and scriptable outputs: Produces SQL DDL and import scripts you can run or integrate into pipelines.

Typical workflow (steps)

  1. Provide the text file and specify delimiter (or let TxtToPG auto-detect).
  2. Tool scans a representative sample (default: first 10k–100k rows).
  3. TxtToPG infers column names and data types, flags ambiguous columns.
  4. Review preview; adjust types, set primary key or indexes if needed.
  5. Generate DDL and optimized COPY/import commands.
  6. Execute generated SQL against your Postgres instance (optionally within a transaction).
  7. Validate row counts and run optional post-import normalization steps.

Recommendations for best results

  • Supply a representative sample that includes edge cases (empty values, outliers, different date formats).
  • Explicitly specify column names if the source lacks a header row.
  • For large files, use COPY with a staging table and disable autovacuum/indexing during bulk load if safe.
  • Normalize dates and numeric formats before import when possible.
  • Add constraints (NOT NULL, CHECK) only after validating the dataset to avoid import failures.

Example generated SQL (conceptual)

sql

CREATE TABLE users_tmp ( id BIGINT, name TEXT, email TEXT, signup_date TIMESTAMP, active BOOLEAN ); COPY users_tmp (id,name,email,signup_date,active) FROM ’/path/to/file.csv’ WITH (FORMAT csv, DELIMITER ’,’, HEADER true, NULL ); – Optional: move to final table with constraints and indexes

When to use TxtToPG

  • Migrating legacy exports or logs into PostgreSQL.
  • Setting up analytics warehouses from exported text datasets.
  • Rapid prototyping of DB schemas from sample data.
  • Automating ETL where source is flat files.

If you want, I can:

  • Generate a sample TxtToPG command and SQL using a small example file you provide, or
  • Produce a short CLI tutorial showing exact commands for CSV→Postgres import.

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