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This is an example of inter-operation parallelism.Īfter SS1 has finished scanning the entire customers table, it scans the sales table in parallel. In other words, the consumers in SS2 and the producers in SS1 work concurrently: one in scanning customers in parallel, the other is consuming rows and building the hash table to enable the hash join in parallel. Given two sets of parallel execution servers SS1 and SS2 for the query plan illustrated in Figure 8-1, the execution proceeds as follows: each server set (SS1 and SS2) has four execution processes because of the PARALLEL hint in the query that specifies the DOP.Ĭhild set SS1 first scans the table customers and sends rows to SS2, which builds a hash table on the rows. Predicate Information (identified by operation id):Ħ - access("SALES"."CUST_ID"="CUSTOMERS"."CUST_ID")įigure 8-1 illustrates the data flow or query plan for the query in Example 8-1. | Id | Operation | Name | Rows | Bytes | TQ |IN-OUT| PQ Distrib | The number of parallel execution servers in one set is the degree of parallelism (DOP).Įxample 8-2 Explain Plan Output for a Query on Customers and Sales The coordinator must decide whether an operation can be performed in parallel and, if so, how many parallel execution servers to enlist.
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For example, the parallel execution method might be to perform a parallel full table scan by block range or a parallel index range scan by partition. For example, a parallel query with a SUM() operation requires adding the individual subtotals calculated by each parallel server.įinally, the query coordinator returns any results to the user.Īfter the optimizer determines the execution plan of a statement, the parallel execution coordinator determines the parallel execution method for each operation in the plan. When the parallel servers are finished executing the statement, the query coordinator performs any portion of the work that cannot be executed in parallel.
The parallel execution servers performs each operation in parallel if possible. The SQL statement is executed as a sequence of operations (a full table scan to perform a join on a nonindexed column, an ORDER BY clause, and so on). The query coordinator obtains the necessary number of parallel servers. The user session or shadow process takes on the role of a coordinator, often called the query coordinator. If parallel execution is chosen, then the following steps occur:
#Parallels settings download#
To try out Parallels Desktop, you can download and run a free 14-day trial.Each SQL statement undergoes an optimization and parallelization process when it is parsed.
#Parallels settings pro#
The standard Home & Student edition offers all the basic features the Pro and Business versions kick in advanced features suitable for developers and business environments.
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The current Parallels Desktop 16 for Mac comes in three editions: Home & Student for $79.99, Pro for $99.99 per year, and Business for $99.99 per year. A third-party program such as Parallels Desktop will cost you a few bucks.
Second, the great part about Boot Camp is that it's not only built into macOS, but it's free. If you're running the latest flavor of macOS, namely Big Sur, on an Intel-based Mac, Boot Camp is still available and usable as always.
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SEE: Windows 10 security: A guide for business leaders (TechRepublic Premium)įirst, the Boot Camp restriction will apply only to ARM-based Macs, irrespective of OS version. If you plan to run Windows on one of these ARM Macs or any other Mac, Parallels Desktop is an alternative worth considering. The future ARM-based Macs recently announced by Apple won't be able to support Windows 10 through a Boot Camp scenario. Running Windows on a Mac computer has traditionally been freely doable through the aid of Boot Camp, a built-in utility that creates a separate partition on your Mac so you can juggle between macOS and Windows (or Linux) on the same machine.
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