If Delta Lake Uses Immutable Files, How Do UPDATE, DELETE, and MERGE Work?

Listen and Watch here One of the most common questions data engineers ask is: if Delta Lake stores data in immutable Parquet files, how can it support operations like UPDATE , DELETE , and MERGE ? The answer lies in Delta Lake’s transaction log and its clever file rewrite mechanism. πŸ” Immutable Files in Delta Lake Delta Lake stores data in Parquet files, which are immutable by design. This immutability ensures consistency and prevents accidental corruption. But immutability doesn’t mean data can’t change — it means changes are handled by creating new versions of files rather than editing them in place. ⚡ How UPDATE Works When you run an UPDATE statement, Delta Lake: Identifies the files containing rows that match the update condition. Reads those files and applies the update logic. Writes out new Parquet files with the updated rows. Marks the old files as removed in the transaction log. UPDATE people SET age = age + 1 WHERE country = 'India'; Result: ...

Does Delta Lake Storage Grow Forever? How Retention and VACUUM Keep It in Check

Does Delta Lake Storage Grow Forever?

Short answer: No. Delta Lake keeps old versions for time travel and rollback, but it has built-in mechanisms to clean up unused files so storage doesn’t grow indefinitely.

Why Delta Lake Keeps Old Versions

Delta Lake is designed to support time travel and rollback. Every time you update a table, Delta Lake creates a new version. This allows you to:

  • Query historical data at a specific point in time.
  • Undo mistakes by restoring a previous version.
  • Audit changes for compliance and debugging.

How Storage Is Managed

While this sounds like storage could grow forever, Delta Lake prevents that with:

  • Retention policies: By default, data files are retained for 7 days and transaction logs for 30 days. You can configure these values using dataRetentionDuration and logRetentionDuration.
  • VACUUM command: This operation removes files that are no longer needed by any active version of the table. For example:
    VACUUM my_delta_table RETAIN 168 HOURS;
    This command deletes files older than 7 days (168 hours).

Example Scenario

Imagine you have a Delta table storing sales data:

-- Insert new sales records
INSERT INTO sales VALUES (...);

-- Update some records
UPDATE sales SET amount = amount * 1.1 WHERE region = 'West';

Each of these operations creates a new version. You can query the table as of a specific version:

SELECT * FROM sales VERSION AS OF 3;

But after 7 days, the old data files may be cleaned up by VACUUM. You’ll still see the history in logs for 30 days, but the actual data files won’t consume space forever.

Key Takeaways

  • Delta Lake supports time travel by keeping old versions temporarily.
  • Storage growth is controlled by retention policies and the VACUUM command.
  • You can configure retention durations to balance between recovery needs and storage costs.

In short, Delta Lake is smart: it gives you the power of historical queries without letting your storage bill spiral out of control.


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