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Firebird 1.5 introduced an optional WITH LOCK extension, for use with or without the FOR UPDATE clause syntax, to support a restricted level of explicit, row-level pessimistic locking. Pessimistic locking is antithetical to the transaction architecture of Firebird and introduces complexity. Its use is recommended only by developers with an advanced understanding of how multi-user concurrency is implemented in Firebird. Pessimistic locking is discussed in 27.

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An entrenched practice exists among some programmers of designing applications that need to perform a row count on output sets. Firebird does not have a quick or reliable way to return the number of rows that will be returned in an output set. Because of its multi-generational architecture, Firebird has no mechanism to know the cardinality of rows in persistent tables. If an application must have a row count, it can get an approximation using a SELECT COUNT(*) query.

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A SELECT statement with the COUNT() function call replacing a column identifier will return the approximate cardinality of a set defined by a WHERE clause. COUNT() takes practically anything as an input argument: a column identifier, a column list, the keyword symbol * representing all columns, or even a constant. For example, all of the following statements are equivalent, or nearly so. However, SELECT COUNT (<some-column-name>) does not include in the count any rows where <some-column-name> is NULL:

SELECT SELECT SELECT SELECT SELECT COUNT COUNT COUNT COUNT COUNT (*) FROM ATABLE WHERE COL1 BETWEEN 40 AND 75; (COL1) FROM ATABLE WHERE COL1 BETWEEN 40 AND 75; (COL1, COL2, COL3) FROM ATABLE WHERE COL1 BETWEEN 40 AND 75; 1 FROM ATABLE WHERE COL1 BETWEEN 40 AND 75; ('Sticky toffee') FROM ATABLE WHERE COL1 BETWEEN 40 AND 75;

Log(" TranId: {0}", info.LocalIdentifier); Log(" Tran Status: {0}", info.Status); } else { Log("***No current transaction***"); } } /// <summary> /// Handler for the TransactionCompleted event /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void tran_TransactionCompleted(object sender, TransactionEventArgs e) { if (e.Transaction != null) { LogTranDetails(e.Transaction, "*Transaction at TransactionCompleted:"); } } /// <summary> /// Log a message /// </summary> /// <param name="msg"></param> public void Log(string msg) { StreamWriter writer = new StreamWriter( string.Format(@"c:\{0}.txt", m_TargetName), true); writer.WriteLine("{0} {1} {2}", DateTime.Now.ToString("HH:mm:ss.ffff"), m_TargetName, msg); writer.Flush(); writer.Close(); } /// /// /// /// /// <summary> Log a formatted message </summary> <param name="msg"></param> <param name="args"></param>

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COUNT(*) is a very costly operation, since it can work only by walking the entire dataset and literally counting each row that is visible to the current transaction as committed. It should be treated as a rough count, since it will become out of date as soon as any other transaction commits work. Although it is possible to include COUNT(*) as a member of an output set that includes other columns, it is neither sensible nor advisable. It will cause the entire dataset to be walked each time a row is selected for output. The exception is when COUNT(*) is included in an output set being aggregated by a GROUP BY clause. Under those conditions, the count is cheap it will be performed on the aggregated group in the course of the aggregation process, for example:

SELECT COL1, SUM(COL2), COUNT(*) FROM TABLEA GROUP BY COL1;

Do not use SELECT COUNT(*) as a way to check for the existence of rows meeting some criteria. This technique frequently shows up in applications that have had their back-end upgraded to Firebird from file-based, table-locking databases such as Paradox or MySQL, and it needs to be abandoned. Instead, use the EXISTS() function predicate, which is designed for the purpose and is very fast. Refer to the next chapter for details of EXISTS() and other function predicates.

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