Big data & Spark
PySpark jobs, partitioning, batch processing, and large-dataset transform patterns.
How to Mock a Catalyst Logical Plan in Python
Build a small Python class that mimics Spark Catalyst's logical plan tree for teaching or testing query optimizations.
from typing import Any, Dict, List, Optional
class CatalystLogicalPlan:
"""A minimal mock of Catalyst's logical plan for teaching purposes."""
def __init__(self, node_type: str, **kwargs: Any) -> None:
self.node_type = node_type
self.attributes: Dict[str, Any] = kwargs
self.child…Mock Predicate Pushdown in Python for Big Data Queries
Simulate predicate pushdown by applying filters at the storage layer before materializing rows, showing how big data engines optimize queries.
class Query:
def __init__(self, table, rows):
self.table = table
self.rows = rows
def filter(self, predicate):
return Query(
self.table,
[row for row in self.rows if all(predicate(row) for predicate in predicate)]
)
def filter_pushdown(self, predica…Z-Order Optimization in Python
A mock concept demonstrating z-order layout optimization by reassigning z-indices based on areas size.
class ZOrderLayout:
"""
Minimal mock for z-order layout optimization using a stacking score.
Elements overlap; higher z_index is drawn on top.
"""
def __init__(self):
self.elements = []
def add_element(self, name, area, z_index):
self.elements.append({"name": name, "area": area…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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