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Big data & Spark

PySpark jobs, partitioning, batch processing, and large-dataset transform patterns.

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Big data & Spark easy

How to Create a Mock Kafka Producer in Python

Build a Kafka producer that generates mock streaming records with JSON serialization and error handling for local testing.

kafka streaming producer
Python
import json
import time
from kafka import KafkaProducer
from kafka.errors import KafkaError

def create_mock_producer(bootstrap_servers="localhost:9092", topic="input-topic"):
    """Create a Kafka producer that generates mock streaming data."""
    producer = KafkaProducer(
        bootstrap_servers=bootstrap_servers…
16 0 Open
Big data & Spark easy

How to Mock Hive Support in PySpark with unittest.mock

This code demonstrates how to mock Hive support in a PySpark environment using unittest.mock to simulate SQL queries returning fixed data.

pyspark hive mock
Python
from unittest.mock import Mock, patch


def get_hive_tables(spark):
    """Mock Hive support by returning a fixed list of tables."""
    return spark.sql("SHOW TABLES").collect()


class HiveTable:
    """Simple class that mimics a Hive table row."""
    def __init__(self, database, tableName):
        self.database =…
14 0 Open
Big data & Spark easy

How to Mock a Socket Stream in Python

Simulate a streaming socket source with a generator to test stream-read and buffering logic without a real network.

socket mock streaming
Python
import socket
import threading
import time

def mock_socket_stream(data_chunks, delay=0.1):
    """Generator that simulates a streaming socket source."""
    for chunk in data_chunks:
        time.sleep(delay)
        yield chunk

def read_stream_socket(stream_gen):
    """Reads from mock stream and prints received ch…
14 0 Open
Big data & Spark easy

How to Mock a User-Defined Function (UDF) in Python

Wrap a real UDF implementation with call logging to simulate and track invocations in a data pipeline.

udf mock testing
Python
from typing import Any, Callable


# Mock a user-defined function (UDF) that was previously complex or external
def mock_udf(name: str, implementation: Callable[..., Any], *, calls: list[Any]) -> Callable[..., Any]:
    """Wrap a real implementation with call logging to simulate a UDF."""
    def wrapper(*args: Any, *…
13 0 Open

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