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Sep 22, 2018 · This video is how to upload pdf file and save path to databse and display that pdf in asp.net c ...Duration: 12:15 Posted: Sep 22, 2018

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level parallel setting The explain plan for such a statement specifies the calculated Degree of Parallelism, as shown in this example: SQL> set autotrace on explain; SQL> select count(*) from lineitem; COUNT(*) ---------599982790 Note ----- automatic DOP: Computed Degree of Parallelism is 32 because of degree limit The preceding example shows that the Degree of Parallelism has been set to the limit defined by parallel_degree_limit parameter, which is to the default to value of CPU However, if the parallel_max_servers parameter is set to a value below this level (as discussed later in this section), then the computed DOP will remain at 32, but the statement will run with Parallel Execution Servers equal to parallel_max_servers on each instance.



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Figure 3-1. Adding a reference to the Oracle.DataAccess (ODP.NET) library You will also need to import the Oracle.DataAccess.Client namespace into your form. You can do that using the following code: using Oracle.DataAccess.Client; Drag a button control to the main form in your project, and name it btnConnectNow. In the Click event handler of this button, write the code shown in Listing 3-1. Listing 3-1. Connecting to the Oracle Database Via TNS





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With an Automatic Degree of Parallelism in effect at the instance level, it is also possible to set a MANUAL policy at the session level, as in this example: SQL> alter session set parallel_degree_policy=MANUAL; To utilize object level definitions across the database, it is necessary to set the parallel_degree_policy parameter to LIMITED At this setting, the optimizer will compute a Degree of Parallelism for objects for which the parallel clause has been used, as opposed to deciding whether to parallelize statements regardless of whether the target object has a PARALLEL clause defined When Automatic Degree of Parallelism is enabled, the parameter parallel_min_time_threshold specifies the minimum time a query should take before Automatic DOP is used with the default value of AUTO We recommend testing Automatic Degree of Parallelism to determine whether it is beneficial in your environment.

// create data adapter SqlDataAdapter da = new SqlDataAdapter(sql, conn);

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You can do this by examining the execution plan, recording the Degree of Parallelism against the performance of your queries, and comparing that degree of a parallelism to a manually calculated DOP As noted previously, the DOP calculation is based on CPU or I/O, while the DBA will have superior knowledge about the resources available across the entire cluster Notwithstanding the additional statement queuing and In-memory Parallel Execution features, the authors have observed that, while a manually calculated DOP can result in superior Parallel Query Performance, the Automatic DOP is accurate in calculating a near optimal level of performance The parallel_degree_limit parameter is an important factor in the calculation..

public void btnConnectNow_Click(System.Object sender, System.EventArgs e)

taken off the CPU. If the latch still can t be acquired, the process will eventually sleep and try again at regular intervals. Latches are local to the instance; however, there are no cluster wide latches. On the other hand, locks are obtained for a longer period, and they are more sophisticated than the simple latch we just discussed. Locks can be shared or exclusive with interim stages and processes trying to acquire locks will have to wait on a first in, first out (FIFO) basis. Access to locks is controlled by so-called enqueues, which maintain a list of processes waiting for access to a given resource. Unlike latches, enqueues are maintained cluster wide. Locking and latching are well known and understood in single-instance Oracle; however, the requirements for cache coherency in Oracle RAC mean that locking and latching are significantly more complex in RAC. As with single-instance Oracle, access to data blocks in the buffer cache and enqueues must be managed within the local instance; however, access by remote instances must be managed, as well. For this reason, Oracle uses the Global Resource Directory (GRD) and a number of additional background processes.

You then create a dataset:

Note Oracle has amended V$-views for cluster-wide use by adding an instance identifier to each view and renaming it to GV$. Think of a GV$ view as a global view that encompasses the dynamic performance views from all instances in the cluster.

{ OracleConnection conn = new OracleConnection(); conn.ConnectionString = "Data Source=NEWDB;User ID=SYSTEM;Password=admin"; try { conn.Open(); conn.Close(); MessageBox.Show("Connection successful!"); } catch (Exception ex) {

Using the Global Resource Directory (GRD)

// create dataset DataSet ds = new DataSet();

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