Berkeley DB Reference Guide: Recoverability and deadlock avoidance
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 |

# Recoverability and deadlock avoidance

The first reason listed for using transactions was recoverability. Any logical change to a database may require multiple changes to underlying data structures. For example, modifying a record in a Btree may require leaf and internal pages to split, so a single DB->put method call can potentially require that multiple physical database pages be written. If only some of those pages are written and then the system or application fails, the database is left inconsistent and cannot be used until it has been recovered; that is, until the partially completed changes have been undone.

Write-ahead-logging is the term that describes the underlying implementation that Berkeley DB uses to ensure recoverability. What it means is that before any change is made to a database, information about the change is written to a database log. During recovery, the log is read, and databases are checked to ensure that changes described in the log for committed transactions appear in the database. Changes that appear in the database but are related to aborted or unfinished transactions in the log are undone from the database.

For recoverability after application or system failure, operations that modify the database must be protected by transactions. More specifically, operations are not recoverable unless a transaction is begun and each operation is associated with the transaction via the Berkeley DB interfaces, and then the transaction successfully committed. This is true even if logging is turned on in the database environment.

Here is an example function that updates a record in a database in a transactionally protected manner. The function takes a key and data items as arguments and then attempts to store them into the database.

>     int
>     main(int argc, char *argv)
>     {
>     	extern char *optarg;
>     	extern int optind;
>     	DB *db_cats, *db_color, *db_fruit;
>     	DB_ENV *dbenv;
>     	pthread_t ptid;
>     	int ch;

>     	while ((ch = getopt(argc, argv, "")) != EOF)
>     		switch (ch) {
>     		case '?':
>     		default:
>     			usage();
>     		}
>     	argc -= optind;
>     	argv += optind;

>     	env_dir_create();
>     	env_open(&dbenv);

>     	/* Open database: Key is fruit class; Data is specific type. */
>     	db_open(dbenv, &db_fruit, "fruit", 0);

>     	/* Open database: Key is a color; Data is an integer. */
>     	db_open(dbenv, &db_color, "color", 0);

>     	/*
>     	 * Open database:
>     	 *	Key is a name; Data is: company name, cat breeds.
>     	 */
>     	db_open(dbenv, &db_cats, "cats", 1);

>     	add_fruit(dbenv, db_fruit, "apple", "yellow delicious");

>     	return (0);
>     }

>     int
>     add_fruit(DB_ENV *dbenv, DB *db, char *fruit, char *name)
>     {
>     	DBT key, data;
>     	DB_TXN *tid;
>     	int fail, ret, t_ret;

>     	/* Initialization. */
>     	memset(&key, 0, sizeof(key));
>     	memset(&data, 0, sizeof(data));
>     	key.data = fruit;
>     	key.size = strlen(fruit);
>     	data.data = name;
>     	data.size = strlen(name);

>     	for (fail = 0;;) {
>     		/* Begin the transaction. */
>     		if ((ret = txn_begin(dbenv, NULL, &tid, 0)) != 0) {
>     			dbenv->err(dbenv, ret, "txn_begin");
>     			exit (1);
>     		}

>     		/* Store the value. */
>     		switch (ret = db->put(db, tid, &key, &data, 0)) {
>     		case 0:
>     			/* Success: commit the change. */
>     			if ((ret = txn_commit(tid, 0)) != 0) {
>     				dbenv->err(dbenv, ret, "txn_commit");
>     				exit (1);
>     			}
>     			return (0);
>     		case DB_LOCK_DEADLOCK:
>     		default:
>     			/* Retry the operation. */
>     			if ((t_ret = txn_abort(tid)) != 0) {
>     				dbenv->err(dbenv, t_ret, "txn_abort");
>     				exit (1);
>     			}
>     			if (++fail == MAXIMUM_RETRY)
>     				return (ret);
>     			break;
>     		}
>     	}
>     }

The second reason listed for using transactions was deadlock avoidance. Database operations (that is, any call to a function underlying the handles returned by DB->open and DB->cursor) are usually performed on behalf of a unique locker. Transactions can be used to perform multiple calls on behalf of the same locker within a single thread of control. For example, consider the case in which a cursor scan locates a record and then accesses some other item in the database, based on that record. If these operations are done using the handle's default locker IDs, they may conflict. If the locks are obtained on behalf of a transaction, using the transaction's locker ID instead of the handle's locker ID, the operations will not conflict.

There is a new error return in this function that you may not have seen before. In transactional (not Concurrent Data Store) applications supporting both readers and writers, or just multiple writers, Berkeley DB functions have an additional possible error return: DB_LOCK_DEADLOCK. This means that two thread of controls deadlocked, and the thread receiving the DB_LOCK_DEADLOCK error return has been selected to discard its locks in order to resolve the problem. When an application receives a DB_LOCK_DEADLOCK return, the correct action is to close any cursors involved in the operation and abort any enclosing transaction. In the sample code, any time the DB->put function returns DB_LOCK_DEADLOCK, txn_abort is called (which releases the transaction's Berkeley DB resources and undoes any partial changes to the databases), and then the transaction is retried from the beginning.

There is no requirement that the transaction be attempted again, but that is a common course of action for applications. Applications may want to set an upper bound on the number of times an operation will be retried because some operations on some data sets may simply be unable to succeed. For example, updating all of the pages on a large Web site during prime business hours may simply be impossible because of the high access rate to the database.

The txn_abort function is called in error cases other than deadlock. 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 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 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.

Programmers should not attempt to enumerate all possible error returns in their software. Instead, they should explicitly handle expected returns and default to aborting the transaction for the rest. It is entirely the choice of the programmer whether to check for DB_RUNRECOVERY explicitly or not -- attempting new Berkeley DB operations after DB_RUNRECOVERY is returned does not worsen the situation. Alternatively, using the DB_ENV->set_paniccall function to handle an unrecoverable error and simply doing some number of abort-and-retry cycles for any unexpected Berkeley DB or system error in the mainline code often results in the simplest and cleanest application code.

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