Berkeley DB Reference Guide: Transaction FAQ
Description: Berkeley DB: An embedded database programmatic toolkit.
Keywords: embedded,database,programmatic,toolkit,b+tree,btree,hash,hashing,transaction,transactions,locking,logging,access method,access methods,java,C,C++

### Berkeley DB Reference Guide: Berkeley DB Transactional Data Store Applications |

# Transaction FAQ

1. What should a transactional program do when an error occurs?

   Any time an error occurs, such that a transactionally protected set of operations cannot complete successfully, the transaction must be aborted. While deadlock is by far the most common of these errors, there are other possibilities; for example, running out of disk space for the filesystem. In Berkeley DB transactional applications, there are three classes of error returns: "expected" errors, "unexpected but recoverable" errors, and a single "unrecoverable" error. Expected errors are errors like DB_NOTFOUND, which indicates that a searched-for key item is not present in the database. Applications may want to explicitly test for and handle this error, or, in the case where the absence of a key implies the enclosing transaction should fail, simply call DB_TXN->abort. Unexpected but recoverable errors are errors like DB_LOCK_DEADLOCK, which indicates that an operation has been selected to resolve a deadlock, or a system error such as EIO, which likely indicates that the filesystem has no available disk space. Applications must immediately call DB_TXN->abort when these returns occur, as it is not possible to proceed otherwise. The only unrecoverable error is DB_RUNRECOVERY, which indicates that the system must stop and recovery must be run.

2. How can hot backups work? Can't you get an inconsistent picture of the database when you copy it?

   First, Berkeley DB is based on the technique of "write-ahead logging", which means that before any change is made to a database, a log record is written that describes the change. Further, Berkeley DB guarantees that the log record that describes the change will always be written to stable storage (that is, disk) before the database page where the change was made is written to stable storage. Because of this guarantee, we know that any change made to a database will appear either in just a log file, or both the database and a log file, but never in just the database.

   Second, you can always create a consistent and correct database based on the log files and the databases from a database environment. So, during a hot backup, we first make a copy of the databases and then a copy of the log files. The tricky part is that there may be pages in the database that are related for which we won't get a consistent picture during this copy. For example, let's say that we copy pages 1-4 of the database, and then are swapped out. For whatever reason (perhaps because we needed to flush pages from the cache, or because of a checkpoint), the database pages 1 and 5 are written. Then, the hot backup process is re-scheduled, and it copies page 5. Obviously, we have an inconsistent database snapshot, because we have a copy of page 1 from before it was written by the other thread of control, and a copy of page 5 after it was written by the other thread. What makes this work is the order of operations in a hot backup. Because of the write-ahead logging guarantees, we know that any page written to the database will first be referenced in the log. If we copy the database first, then we can also know that any inconsistency in the database will be described in the log files, and so we know that we can fix everything up during recovery.

3. Why happens if my database page size isn't the same size as the block size used by the system for filesystem I/O?

   Berkeley DB does not do checksums across database pages, it relies on bytes found in a single part of each database page to decide during recovery if a page needs to be modified or if the page is correct and no changes are required. If the operating system wrote a large page in two parts, or the underlying hardware could fail in some way so that those bytes were written, but the rest of the page was not, then it would be possible for recovery to not correctly update the page. This is an unlikely failure scenario, but a possible one.

   See Berkeley DB recoverability for more detailed information.

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