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tables are large, it would be prohibitively expensive to broadcast one of them to all processes In that case, Oracle achieves parallelism by partitioning the data among processes by hashing on the values of the join columns (the partitioned hash-join method of Section 20521) Each table is scanned in parallel by a set of processes and each row in the output is passed on to one of a set of processes that are to perform the join Which one of these processes gets the row is determined by a hash function on the values of the join column Hence, each join process gets only rows that could potentially match, and no rows that could match could end up in different processes Oracle parallelizes sort operations by value ranges of the column on which the sort is performed (that is, using the range-partitioning sort of Section 2051) Each process participating in the sort is sent rows with values in its range, and it sorts the rows in its range To maximize the bene ts of parallelism, the rows need to be divided as evenly as possible among the parallel processes, and the problem of determining range boundaries that generates a good distribution then arises Oracle solves the problem by dynamically sampling a subset of the rows in the input to the sort before deciding on the range boundaries

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The configuration for the default implementation is: <barcode> < upc-a > <height>{ length:15mm}</height> <module-width>{length:0.33mm}</module-width> ...

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ciscoasa(config)# crypto ipsec transform-set set_name [{esp-3des | esp-aes | esp-aes-192 | esp-aes-256 | esp-des | esp-null}] [{esp-md5-hmac | esp-sha-hmac | esp-none}] ciscoasa(config)# crypto ipsec transform-set set_name mode {tunnel | transport}

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The processes involved in the parallel execution of an SQL statement consist of a coordinator process and a number of parallel server processes The coordinator is responsible for assigning work to the parallel servers and for collecting and returning data to the user process that issued the statement The degree of parallelism is the number of parallel server processes that are assigned to execute a primitive operation as part of the statement The degree of parallelism is determined by the optimizer, but can be throttled back dynamically if the load on the system increases The parallel servers operate on a producer/consumer model When a sequence of operations is needed to process a statement, the producer set of servers performs the rst operation and passes the resulting data to the consumer set For example, if a full table scan is followed by a sort and the degree of parallelism is 12, there would be 12 producer servers performing the table scan and passing the result to 12 consumer servers that perform the sort If a subsequent operation is needed, like another sort, the roles of the two sets of servers switch The servers that originally performed the table scan take on the role of consumers of the output produced by the the rst sort and use it to perform the second sort Hence, a sequence of operations proceeds by passing data back and forth between two sets of servers that alternate in their roles as producers and consumers The servers communicate with each other through memory buffers on shared-memory hardware and through high-speed network connections on MPP (shared nothing) con gurations and clustered (shared disk) systems For shared nothing systems, the cost of accessing data on disk is not uniform among processes A process running on a node that has direct access to a device is able to process data on that device faster than a process that has to retrieve the data over a network Oracle uses knowledge about device-to-node and device-toprocess af nity that is, the ability to access devices directly when distributing work among parallel execution servers.

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racca3141/UPC: Build a UPC-A label. - GitHub
27 Apr 2018 ... UPCMain . java is a command line program that takes in a 12 digit number and checks to see if it is a valid UPC-A barcode. It does this by ...

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The first command defines how the data traffic is to be protected You must give the transform set a locally significant name; in other words, the name you give the set doesn t have to match what is configured on the remote peer The transform set name is followed by an encryption algorithm and/or an HMAC function, commonly called the transforms The order that you enter the transforms doesn t matter Notice that you don t have to use an encryption algorithm (esp-null) or an HMAC function (esp-none) NOTE You can have multiple transform sets for different peers this is necessary if you have different peers with different capabilities For example, you might have one peer that supports AES 256, but another that only supports 3DES In this situation, you would need two transform sets for the two respective peers The second command defines the mode for the data connections Data connections support two modes: tunnel and transport Tunnel mode is used for L2L and remote access connections, and transport mode for point-to-point connections, like the appliance sending a syslog message to a syslog server If you don t configure this second command, the mode defaults to tunnel for the data connections using this transform set If you are using a point-to-point connection, then you would specify transport as the mode in the second command

The McGraw Hill Companies, 2001

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Barcode4J is a free and flexible Java library for Barcode generation. This requires the ... in classpath. The following example shows generating UPC-A Barcode.

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UPC-A barcode generator can print UPC-A and saved it as GIF and JPEG images using Java class library. Generated UPC-A barcode images can be displayed ...
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