How can MySQLDB\'s SScursor effectively handle memory-intensive queries with large result sets?

Effectively Utilizing MySQLDB SScursor for Memory-Efficient Querying

Working with massive result sets can pose memory consumption challenges. MySQLDB provides the SScursor class to address this issue by optimizing memory utilization. Understanding its usage is crucial for efficient database querying.

Memory Usage Comparison

Performing a fetchall() operation on either a base cursor or an SScursor has different memory usage implications. With a base cursor, all results are loaded into memory, potentially consuming substantial resources. SScursors, on the other hand, retrieve results incrementally, minimizing memory usage.

Sequential Retrieval using SScursor

To stream individual rows from an SScursor, you can employ a for loop as follows:

import MySQLdb.cursors

connection = MySQLdb.connect(...)
cursor = connection.cursor(cursorclass=MySQLdb.cursors.SSCursor)
cursor.execute(query)
for row in cursor:
    print(row)

Through this loop, you can access rows sequentially without overloading memory. As an alternative, you can use the fetchone() method to retrieve a single row at a time, as suggested by Otto Allmendinger.

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