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requested Parallel Execution Servers are not available, then the new query is blocked from running and placed in a queue until the existing query holding the Parallel Execution Servers releases them. The next statement is then able to run at the requested DOP or the system enforced limit. This ensures that no statements are downgraded, run serially, or error. When this action occurs, the session waits on the JX enqueue event, as shown in the following extract from an AWR report: Avg wait % DB (ms) time Wait Class ------ ------ ---------375 71.1 User I/O 3.E+05 10.0 Scheduler 9.4 1166 .3 Commit 630 .2 User I/O



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There is probably an entry in your TNSNames.ora file for the NEWDB database; the Oracle Universal Installer created this entry for you when it generated the NEWDB starter database, and it was how you could connect to the database using TNS earlier. You can add more descriptors of your own manually. Alternatively, especially if you are not in the mood to carefully count parentheses, you can use the GUI-based Oracle Net Configuration Assistant to add a new descriptor to the TNSNames.ora file.

Event Waits Time(s) ------------------------------ ---------- ----------direct path read 5,180 1,942 enq: JX - SQL statement queue 1 273 DB CPU 256 log file sync 6 7 Parameter File I/O 8 5

With a populated dataset at your disposal, you can now access the data in individual data tables (this dataset contains only one data table):





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The parameter parallel_servers_target defines the number of running Parallel Execution Servers across the cluster before statements will be queued. parallel_servers_target cannot be more than the value of parallel_max_servers; and, by default, it is set to a lower value to ensure that statements are queued before all Parallel Execution Servers are utilized. For example, the default setting for a two-node cluster with eight CPUs per node is 32. If Statement Queuing is implemented, then it enables more predictable behavior when analyzing and resolving issues in an environment where more Parallel Queries are consistently run compared to Parallel Execution Servers and system resources available.

The various managed and unmanaged providers used to connect to an Oracle database and how they differ architecturally and in terms of performance

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In releases prior to Oracle 11g Release 2, a Parallel Query would almost always use a direct path read for full table scans, as opposed to a db file scattered read to read the data As will be discussed later in this chapter in the context of performance, a direct path read bypasses the buffer cache It also places a performance emphasis on the I/O capabilities of the system because the majority of objects subject to Parallel Queries would be larger than the buffer cache available In-memory Parallel Execution has been made possible by advances in hardware capabilities, 64-bit computing, and memory performance (see 4 for more details) You can expect to see a number of competing in-memory data warehouse products coming to market that will harness these new hardware capabilities.

// get data table DataTable dt = ds.Tables["products"];

In the Oracle Database, large memory capabilities give aggregated buffer caches in a RAC environment the potential to hold large objects in memory This improves performance for buffered I/O, such as for db file scattered reads associated with full table scans in an OLTP environment When the parallel_degree_policy parameter is set to AUTO, the database may, depending upon an object s size, cache the data for subsequent reuse after initially reading from disk However, this behavior diverges from the managing of data in a standard RAC environment As discussed in 2, Cache Fusion enables the data blocks requested on one node in the cluster to be passed directly from the buffer cache on another node across the interconnect If a block is requested on one node, that block will be always be cached on that node before access This is a common shared-all clustering approach.

If you re one of those moving from Microsoft SQL Server to Oracle, you re probably curious about what their differences are and what those would mean to you as a NET developer Although there are still some major feature differences between the latest versions of these two databases, the recently released Microsoft SQL Server 2008 has been a large step toward achieving the range of functionality available in Oracle 11g For instance, Microsoft has introduced Transparent Data Encryption (a technology that encrypts the database without requiring any additional code to be written) with SQL Server 2008, a feature that also exists in Oracle 11g The biggest change in moving to Oracle would be the SQL dialect that is used to query the database Oracle uses its own dialect called PL/SQL, and at times, that can be drastically different from T-SQL in SQL Server.

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