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Big data & Spark

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

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Big data & Spark medium

How to use foreachBatch with a mock sink in PySpark

Demonstrates using Spark Structured Streaming's foreachBatch sink to capture and verify streaming batches by writing them into a custom mock sink object.

pyspark structured-streaming foreachbatch
Python 
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, lit

class MockSink:
    def __init__(self):
        self.batches = []
    
    def write_batch(self, batch_df, batch_id):
        # Collect batch data as list of dicts for verification
        records = batch_df.collect()
        self.batches…
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