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Locks (and latches) are constructs used to regulate concurrent access to a shared resource within Oracle. These constructs play a crucial role in maintaining data integrity during concurrent modification of the shared resources. In Oracle, a shared resource is not just your data; it could also be your code (e.g., a PL/SQL package procedure cannot be altered when it is being executed). Oracle automatically obtains necessary locks to execute SQL statements; in general, users need not be concerned with managing locks in Oracle. The following are some important facts about Oracle s locking policy: Oracle uses row-level locking, as appropriate, to ensure that only one transaction can modify (write) a piece of data at a given time. Oracle does not lock data during reads (selects). There is no significant overhead to locking in Oracle. Oracle stores the lock status of a row in the data block holding the row, rather than in the data dictionary or a lock manager, thus avoiding contention on a row lock status table. Oracle never escalates locks to the table level. Even if you are modifying every row of a 1,000-row table, Oracle will place a row-level lock on each row.

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Note that the number of times you iterate through the result set loop is not affected by the fetch size you set; only the number of round-trips your application makes is affected. Consider a typical while loop iteration through an initialized ResultSet variable rset: ResultSet rset = pstmt.executeQuery(); while( rset.next() ) { } Assume that the preceding query returns 100 rows and the fetch size is 10. The very first fetch happens when you get the ResultSet object by invoking executeQuery(). The first ten iterations in the loop would get their data from the JDBC cache. When the program encounters the eleventh invocation of next(), JDBC would get ten more rows from the database (thus incurring a second network round-trip), and so on. Clearly, there is a trade-off in that for a higher fetch size you need more client-side memory to cache the rows. If fetchSize is the fetch size of the result set and rowSize is the size of a row, the JDBC cache size is proportional to fetchSize rowSize. In this chapter, a large result set means a result set for which fetchSize rowSize is large.

The following standard JDBC methods are available in the Statement, PreparedStatement, CallableStatement, and ResultSet interfaces for setting and getting the fetch size: void setFetchSize(int rows) throws SQLException int getFetchSize() throws SQLException Oracle had the concept of prefetching before it came along in JDBC 2.0. This can lead to some confusion, as there are methods implemented as Oracle extension methods to set a fetch size, and those are still available. Thus, in addition to the preceding JDBC 2.0 API methods, if you use the Oracle extension class OracleConnection, you can get and set the default fetch size for all statements of a Connection object at the Connection level using the following methods (note that there is no equivalent method in the JDBC 2.0 Connection interface to set a default fetch size): public int getDefaultRowPrefetch(); public void setDefaultRowPrefetch(int value) throws SQLException; Finally, you can use the setRowPrefetch() and getRowPrefetch() methods in the OracleStatement interface (inherited by OraclePreparedStatement and OracleCallableStatement): public int getRowPrefetch(); public void setRowPrefetch( int size ) throws SQLException; The settings at the statement level override the settings at the Connection level (except for CallableStatement, which is due to a bug I ll cover soon), and the settings at the ResultSet level override those at the Statement level. Overriding the fetch size at the ResultSet level affects only subsequent trips (see the following note) to the database to get more rows for the original query or during refetching of the query results (see the upcoming section Refetching Rows ).

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Note As mentioned earlier, regardless of the fetch size you set at the ResultSet level, in the case of the Oracle implementation, the moment you execute a statement (e.g., by using the executeQuery() method on a PreparedStatement object), the JDBC driver silently does the first fetch. This first fetch will always use the fetch size set at the Statement level (or at the OracleConnection level if the Statement-level fetch size has not been set), since the ResultSet object is created only after the fact. This will become clearer shortly through an example.

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