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Some have page-level locking, others row-level; some implementations escalate locks from row level to page level, some do not; some use read locks, others don t; some implement serializable transactions via locking and others via read-consistent views of data (no locks) These small differences can balloon into huge performance issues or downright bugs in your application if you don t understand how they work The following points sum up Oracle s locking policy: Oracle locks data at the row level on modification There is no lock escalation to a block or table level Oracle never locks data just to read it There are no locks placed on rows of data by simple reads A writer of data does not block a reader of data Let me repeat: reads are not blocked by writes This is fundamentally different from many other databases, where reads are blocked by writes.

The PARALLEL_MAX_SERVERS parameter determines the number of parallel execution processes. Oracle recommends two parallel processes per CPU on larger systems, and four processes per CPU on smaller systems.

Each one is 4 bytes in length and only the last byte is different. These numbers would end up right next to each other in an index structure. If we reverse their bytes, however, Oracle will insert the following: ops$tkyte@ORA10GR1> select 90101, dump(reverse(90101),16) from dual 2 union all 3 select 90102, dump(reverse(90102),16) from dual 4 union all 5 select 90103, dump(reverse(90103),16) from dual 6 / 90101 ---------90101 90102 90103 DUMP(REVERSE(90101),1 --------------------Typ=2 Len=4: 2,2,a,c3 Typ=2 Len=4: 3,2,a,c3 Typ=2 Len=4: 4,2,a,c3

Default value: Depends on the values of the CPU_COUNT, PARALLEL_AUTOMATIC_TUNING, and PARALLEL_ADAPTIVE_MULTI_USER parameters Parameter type: Dynamic. It can be changed only at the system level with the ALTER SYSTEM command.

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While this sounds like an extremely positive attribute (and it generally is), if you do not understand this thoroughly and you attempt to enforce integrity constraints in your application via application logic, you are most likely doing it incorrectly A writer of data is blocked only when another writer of data has already locked the row it was going after A reader of data never blocks a writer of data..

The TIMED_STATISTICS parameter is used to tell Oracle whether it should collect timed statistics during tracing. The possible values are true (timed statistics are collected) and false (timed statistics are not collected). If timed statistics are collected, they are used in some dynamic performance views. If you set the STATISTICS_LEVEL parameter to the recommended level of TYPICAL or to AUTO, the TIMED_STATISTICS parameter is by default set to true. Example: TIMED_STATISTICS = true Default value: true if the STATISTICS_LEVEL parameter is set to TYPICAL or ALL, false otherwise Parameter type: Dynamic. You can change it with the ALTER SYSTEM or ALTER SESSION command.

REVERSE is an undocumented function and, as such, should be used carefully. I do not recommend using REVERSE in real code, as its undocumented nature implies that it is not supported.

The PLSQL_OPTIMIZE_LEVEL parameter specifies the optimization level that will be used to compile PL/SQL library units. The higher you set this parameter (in a range from 0 to 2), the more effort the compiler makes to optimize PL/SQL library units. According to Oracle, setting this parameter to 2 pays off in better execution performance, but setting this parameter to 1 will result in almost as good a compilation with less use of compile-time resources. Example: PL_SQL_OPTIMIZE_LEVEL = 2 Default value: 2 Parameter type: Dynamic. You can use the ALTER SYSTEM or ALTER SESSION command to change the value.

You must take these facts into consideration when developing your application and you must also realize that this policy is unique to Oracle; every database has subtle differences in its approach to locking. Even if you go with lowest common denominator SQL in your applications, the locking and concurrency control models employed by each vendor assure something will be different. A developer who does not understand how his or her database handles concurrency will certainly encounter data

When you create a new database, you ll need to configure several recovery-related parameters When an instance crash occurs, all the data on disk is safe, but the data stored in the database buffers is wiped out instantaneously Redo logs are on disk, so they are intact, but the redo log buffers are wiped out To recover successfully from such a crash, the database needs to be brought to a consistent state by using Oracle s redo logs and the undo records from the undo tablespace The redo log records are used to write all the committed data to disk, and the undo records are used to roll back any uncommitted data that was stored on disk.

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