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ACID stands for atomicity, consistency, isolation, and durability. It is perhaps one of the most important concepts in database theory. It defines the behavior that database systems must exhibit to be considered reliable for transaction processing. Atomicity means the database must allow modifications of data on an all or nothing basis for transactions that contain multiple commands. That is, each transaction is atomic. If one of the commands fails, the entire transaction fails and all changes up to that point in the transaction are discarded. This is especially important for systems that operate in highly transactional environments such as the financial market. Consider for a moment the ramifications of a money transfer. Typically, multiple steps are involved in debiting one account and crediting another. If the transaction fails after the debit step and doesn t credit the money back to the first account, the owner of that account will be very angry. In this case, the entire transaction from debit to credit must succeed or none of it does. Consistency means only valid data will be stored in the database. That is, if a command in a transaction violates one of the consistency rules, the entire transaction is discarded and the data is returned to the state it was in before the transaction began. Conversely, if a transaction completes successfully, it will alter the data in a manner that obeys the database consistency rules. Isolation means that if there are multiple transactions executing at the same time, they will not interfere with one another. This is where the true challenge of concurrency is most evident. Database systems must be able to handle situations where transactions cannot violate the data (alter, delete, etc.) being used in another transaction. There are many ways to handle this. Most systems use a mechanism called locking that keeps the data from being used by another transaction until the first one is done. Although the isolation property does not dictate which transaction is executed first, it does ensure they will not interfere with one another. Durability means that no transaction will result in lost data nor will any data created or altered during the transaction be lost. Durability is usually provided by robust backup and restore maintenance functions. Some database systems use logging to ensure that any uncommitted data can be recovered on restart.
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CHAPTER 2 THE ANATOMY OF A DATABASE SYSTEM
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BDB stands for Berkeley Database. BDB is a third-party storage engine licensed from SleepyCat (www.sleepycat.com). The BDB storage engine is considered an alternative to InnoDB and also supports transactions along with additional transaction features such as COMMIT and ROLLBACK. BDB supports hash tables, B-trees, simple record number based storage, and persistent queues.
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Note While Oracle now owns both InnoDB and BDB, agreements are in place to preserve the integration
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of both technologies for the next few years. However, BDB support may be dropped from the supported storage engines in the near future.
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The memory storage engine (sometimes called HEAP tables) is an in-memory table that uses a hashing mechanism for fast retrieval of frequently used data. Thus, these tables are much faster than those that are stored and referenced from disk. They are accessed in the same manner as the other storage engines, but the data is stored in-memory and is valid only during the MySQL session. The data is flushed and deleted on shutdown (or a crash). Memory storage engines are typically used in situations where static data is accessed frequently and rarely ever altered. Examples of such situations include zip code, state, county, category, and other lookup tables. HEAP tables can also be used in databases that utilize snapshot techniques for distributed or historical data access.
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Tip A memory-based table is created under the /data_dir/database_name/table_name.frm directory. It is possible to automatically create memory-based tables using the --init-file=file startup option. In this case, the file specified should contain the SQL statements to re-create the table. Since the table was created once, you can omit the CREATE statement because the table definition is not deleted on system restart.
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