Reference library

Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

1 match
Data pipelines & processing easy

How to Track Checkpoint Offset After Batch Commit in Python

A batch processor that tracks the last successfully committed offset after processing records in batches, advancing the checkpoint only when each batch commits successfully.

batch-processing checkpoint offset
Python 
import json
from typing import Any


class BatchProcessor:
    """Tracks checkpoint offset after committing batches."""

    def __init__(self, batch_size: int = 3):
        self.batch_size = batch_size
        self.offset = 0  # last successfully committed offset (exclusive)
        self.total_committed = 0

    def …
12 0 Open

Browse by section

Each section groups closely related Python snippets.

Data pipelines & processing — Python code examples

What you will find here

This page collects data pipelines & processing snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.

Related coding tools

Free online Python IDE Write and run Python in your browser — no install. Free Python code formatter Format with autopep8 — side-by-side PEP 8 cleanup. Python code samples Copy-ready snippets to study and run in the IDE.