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6.5831 Lab 6: Rollback and Recovery

Assigned: Monday November 28, 2022

Due: Wednesday December 14, 2022 by 11:59 PM ET

Note: This lab is for students enrolled in 6.5831 (the undergraduate version of the class) who are not doing a final project. Students in 6.5830 (the graduate version of the class) do not need to complete this lab.

Note: You cannot use late days on this lab.

0. Introduction

In this lab you will implement log-based rollback for aborts and log-based crash recovery. We supply you with the code that defines the log format and appends records to a log file at appropriate times during transactions. You will implement rollback and recovery using the contents of the log file.

The logging code we provide generates records intended for physical whole-page undo and redo. When a page is first read in, our code remembers the original content of the page as a before-image. When a transaction updates a page, the corresponding log record contains that remembered before-image as well as the content of the page after modification as an after-image. You'll use the before-image to roll back during aborts and to undo loser transactions during recovery, and the after-image to redo winners during recovery.

We are able to get away with doing whole-page physical UNDO (while ARIES must do logical UNDO) because we are doing page level locking and because we have no indices which may have a different structure at UNDO time than when the log was initially written. The reason page-level locking simplifies things is that if a transaction modified a page, it must have had an exclusive lock on it, which means no other transaction was concurrently modifying it, so we can UNDO changes to it by just overwriting the whole page.

Your BufferPool already implements abort by deleting dirty pages, and pretends to implement atomic commit by forcing dirty pages to disk only at commit time. Logging allows more flexible buffer management (STEAL and NO-FORCE), and our test code calls BufferPool.flushAllPages() at certain points in order to exercise that flexibility.

1. Getting started

You should begin with the code you submitted for Lab 5 (if you did not submit code for Lab 5, or your solution didn't work properly, contact us to discuss options.)

You'll need to modify some of your existing source and add a few new files. Here's what to do:

  • First change to your project directory (probably called simple-db-hw-2022) and pull from the upstream GitHub repository:

    $ cd simple-db-hw-2022
    $ git pull upstream main
  • Now, make the following changes to your existing code:

    1. Insert the following lines into BufferPool.flushPage() before your call to writePage(p), where p is a reference to the page being written:
        // append an update record to the log, with 
        // a before-image and after-image.
        TransactionId dirtier = p.isDirty();
        if (dirtier != null){
          Database.getLogFile().logWrite(dirtier, p.getBeforeImage(), p);
          Database.getLogFile().force();
        }

    This causes the logging system to write an update to the log. We force the log to ensure the log record is on disk before the page is written to disk.

  1. Your BufferPool.transactionComplete() calls flushPage() for each page that a committed transaction dirtied. For each such page, add a call to p.setBeforeImage() after you have flushed the page:
    // use current page contents as the before-image
    // for the next transaction that modifies this page.
    p.setBeforeImage();
    After an update is committed, a page's before-image needs to be updated so that later transactions that abort rollback to this committed version of the page. (Note: We can't just call setBeforeImage() in flushPage(), since flushPage() might be called even if a transaction isn't committing. Our test case actually does that! If you implemented transactionComplete() by calling flushPages() instead, you may need to pass an additional argument to flushPages() to tell it whether the flush is being done for a committing transaction or not. However, we strongly suggest in this case you simply rewrite transactionComplete() to use flushPage().)
  • After you have made these changes, do a clean build (ant clean; ant from the command line, or a "Clean" from the "Project" menu in Eclipse.)

  • At this point your code should pass the first three sub-tests of the LogTest systemtest, and fail the rest:

    $ ant runsystest -Dtest=LogTest
      ...
      [junit] Running simpledb.systemtest.LogTest
      [junit] Testsuite: simpledb.systemtest.LogTest
      [junit] Tests run: 10, Failures: 0, Errors: 7, Time elapsed: 0.42 sec
      [junit] Tests run: 10, Failures: 0, Errors: 7, Time elapsed: 0.42 sec
      [junit] 
      [junit] Testcase: PatchTest took 0.057 sec
      [junit] Testcase: TestFlushAll took 0.022 sec
      [junit] Testcase: TestCommitCrash took 0.018 sec
      [junit] Testcase: TestAbort took 0.03 sec
      [junit]     Caused an ERROR
      [junit] LogTest: tuple present but shouldn't be
      ...
  • If you don't see the above output from ant runsystest -Dtest=LogTest, something has gone wrong with pulling the new files, or the changes you made are somehow incompatible with your existing code. You should figure out and fix the problem before proceeding; ask us for help if necessary.

2. Rollback

Read the comments in LogFile.java for a description of the log file format. You should see in LogFile.java a set of functions, such as logCommit(), that generate each kind of log record and append it to the log.

Your first job is to implement the rollback() function in LogFile.java. This function is called when a transaction aborts, before the transaction releases its locks. Its job is to un-do any changes the transaction may have made to the database.

Your rollback() should read the log file, find all update records associated with the aborting transaction, extract the before-image from each, and write the before-image to the table file. Use raf.seek() to move around in the log file, and raf.readInt() etc. to examine it. Use readPageData() to read each of the before- and after-images. You can use the map tidToFirstLogRecord (which maps from a transaction id to an offset in the heap file) to determine where to start reading the log file for a particular transaction. You will need to make sure that you discard any page from the buffer pool whose before-image you write back to the table file.

As you develop your code, you may find the Logfile.print() method useful for displaying the current contents of the log.


Exercise 1: LogFile.rollback()

Implement LogFile.rollback().

After completing this exercise, you should be able to pass the TestAbort and TestAbortCommitInterleaved sub-tests of the LogTest system test.


3. Recovery

If the database crashes and then reboots, LogFile.recover() will be called before any new transactions start. Your implementation should:

  1. Read the last checkpoint, if any.

  2. Scan forward from the checkpoint (or start of log file, if no checkpoint) to build the set of loser transactions. Re-do updates during this pass. You can safely start re-do at the checkpoint because LogFile.logCheckpoint() flushes all dirty buffers to disk.

  3. Un-do the updates of loser transactions.


Exercise 2: LogFile.recover()

Implement LogFile.recover().

After completing this exercise, you should be able to pass all of the LogTest system test.


4. Logistics

You must submit your code (see below) as well as a short (1 page, maximum) writeup describing your approach. This writeup should:

  • Describe any design decisions you made, including anything that was difficult or unexpected.

  • Discuss and justify any changes you made outside of LogFile.java.

4.1. Collaboration

This lab should be manageable for a single person, but if you prefer to work with a partner, this is also OK. Larger groups are not allowed. Please indicate clearly who you worked with, if anyone, on your writeup.

4.2. Submitting your assignment

We will be using Gradescope to autograde all programming assignments. You should have all been invited to the class instance; if not, please let us know and we can help you set up. You may submit your code multiple times before the deadline; we will use the latest version as determined by gradescope. Place the write-up in a file called lab6-writeup.txt with your submission. You also need to explicitly add any other files you create, such as new *.java files.

If you are working with a partner, only one person needs to submit to Gradescope. However, make sure to add the other person to your group. Also note that each member must have their own writeup. Please add your Kerberos username to the file name and in the writeup itself (e.g., lab6-writeup-username1.txt and lab6-writeup-username2.txt).

The easiest way to submit to gradescope is with .zip files containing your code. On Linux/macOS, you can do so by running the following command:

$ zip -r submission.zip src/ lab6-writeup.txt

# If you are working with a partner:
$ zip -r submission.zip src/ lab6-writeup-username1.txt lab6-writeup-username2.txt

4.3. Submitting a bug

SimpleDB is a relatively complex piece of code. It is very possible you are going to find bugs, inconsistencies, and bad, outdated, or incorrect documentation, etc.

We ask you, therefore, to do this lab with an adventurous mindset. Don't get mad if something is not clear, or even wrong; rather, try to figure it out yourself or send us a friendly email. Please submit (friendly!) bug reports to [email protected]. When you do, please try to include:

  • A description of the bug.

  • A .java file we can drop in the src/simpledb/test directory, compile, and run.

  • A .txt file with the data that reproduces the bug. We should be able to convert it to a .dat file using PageEncoder.

You can also post on the class page on Piazza if you feel you have run into a bug.

4.4 Grading

75% of your grade will be based on whether or not your code passes the system test suite we will run over it. These tests will be a superset of the tests we have provided. Before handing in your code, you should make sure it produces no errors (passes all of the tests) from both ant test and ant systemtest.

Important: before testing, Gradescope will replace your build.xml, HeapFileEncoder.java, Parser.java and the entire contents of the test directory with our version of these files. This means you cannot change the format of .dat files and you cannot rely on any custom functionality in Parser.java! You should also be careful changing our APIs. You should test that your code compiles the unmodified tests.

You should get immediate feedback and error outputs for failed tests (if any) from Gradescope after submission. The score given will be your grade for the autograded portion of the assignment. An additional 25% of your grade will be based on the quality of your writeup and our subjective evaluation of your code. This part will also be published on Gradescope after we finish grading your assignment.

We had a lot of fun designing this assignment, and we hope you enjoy hacking on it!