Big data & Spark
PySpark jobs, partitioning, batch processing, and large-dataset transform patterns.
Accumulators Global Counter Mock in Python
Shows an accumulator-style global counter with a mock patch to control its value in tests.
import unittest
from unittest.mock import patch
# Module-level global counter accumulator
counter = 0
def increment(by=1):
"""Increment the global counter in place (accumulator pattern)."""
global counter
counter += by
return counter
def reset():
"""Reset the counter to zero."""
global count…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.
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 =…How to Mock a Compute-Collect Action Trigger in Python
Mock a compute-collect action trigger using Python's unittest.mock to simulate Spark-style job execution and assert trigger behavior.
Here's a Python code sample for the problem title "Action trigger compute collect mock":Browse by section
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Big data & Spark — Python code examples
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This page collects big data & spark 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.
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