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can improve response time and availability because it increases the chances of a servlet getting a free connection from the pool upon request On the other hand, maintaining a large connection pool takes up large amounts of memory, and might degrade performance WebSphere Connection Pooling WebSphere's implementation of the JDBC 20 DataSource interface provides several properties that can be used for fine -tuning the performance of connection pooling These properties are WebSphere-specific and are associated with comibmwebsphereadvancedcmfactoryDataSourceFactory They are listed, along with their meanings, in Table 18-1 Table 18-1: Connection Pooling Properties Property CONN_TIMEOUT Meaning The maximum time (in seconds) for an application to wait for a connection before timing out and throwing a ConnectionWaitTimeoutExcepti on The default is 180 seconds Setting this value to 0 disables connection timeout exceptions The vendor-specific DataSource object used by WebSphere to connect to the database This class should implement javaxsql ConnectionPoolDataSource or javaxsqlXADataSource Indicates whether connections are to be closed at the end of each transaction The default is false, which means that upon the completion of a transaction the connection is returned to the pool (and any attempt to use the connection will cause a StaleConnectionException) Setting this value to true implies that connections are not returned to the pool at the end a transaction and that the application must explicitly return the connection to the pool by calling close() This property is used for mapping SQLException objects to WebSphere exceptions; it is rarely of interest to application developers The duration of time (in seconds) during which a connection can remain free in the pool without being used After this time elapses, the connection is closed and removed from the pool The default value is 1800 Setting this value to 0 disables this timeout Note 315

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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> ...

In IMS/360 the insertion of a new tree instance is accommodated by use of an IMS-provided link chain to the over ow le, ignoring the ISAM over ow mechanism Insertion of new segments is accomplished by placing the segment in its proper physical position and moving the successor segments of this tree instance out of the way Over ow blocks will be acquired at the end of the over ow le, to accommodate any nal segments of a tree that do not t within the old blocks The direct-access organization has also been extended with an over ow le The HDAM method is useful if sequentiality is not required and updates are frequent Collisions are resolved by chaining in key sequence within a bucket Only the key of a root segment and a pointer to the remainder of the tree instance is stored in the direct-access le; the remainder of the root segment and all other segments of the tree are kept on the over ow le The direct le and the over ow le are actually separate areas of the same operating system le New segments are placed in any free area of the over ow le The segments of a tree instance are related to each other using pointers and will not be physically moved during updating Segments belonging to di erent tree instances may share blocks Two linkage choices for segments of a tree are available:

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1 Do not overdrive buffer: 03 V RMS maximum input 2 Ie 5 mA (10 mA for more-linear output) 3 Ve Vce 05VCC

A chain which links the segments in the preorder sequence A hierarchical ring structure using member and sibling pointers

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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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Table 18-1: Connection Pooling Properties Property Meaning that a connection idle for this length of time is not removed if doing so would reduce the total number of connections in the pool below MIN_POOL_SIZE MAX_POOL_SIZE The maximum number of connections to be kept in the connection pool The default is 10 The pool size has a direct impact on the effectiveness of pooling Using a small pool size can cause longer wait times for code requesting a connection, while using a large pool size increases the overhead since more connections are maintained The setting fo r this value should correspond to the capabilities of the datasource (eg, if the number of connections supported by the database is limited to 5, this value must be 5 or less) The minimum number of connections to be held in the pool The default value is 1 The minimum pool size can affect performance A small pool requires less overhead, but when the first requests for connections are made, the response is slow The pool does not start with the minimum number of connections Connections are pooled once they are created for requesting applications The duration of time (in seconds) during which a connection can be owned by an application that is not using it Once a connection is not used for this amount of time, it is marked for orphaning If still not used after this timeout elapses again, it is returned to the pool Any subsequent use of it throws a StaleConnectionException The default value is 1800 The size of the prepared cache statement for all connections in the pool The default value is 100

The rst choice is sketched in Fig 9-19 The insertion algorithm attempts to place the segment according to best locality and minimal space fragmentation A bit map which indicates blocks that have free space adequate for segments and a free space list within each block are used by this algorithm to achieve e cient placement and allow recovery of space from deleted segments

Downloaded from Digital Engineering Library @ McGraw-Hill (wwwdigitalengineeringlibrarycom) Copyright 2004 The McGraw-Hill Companies All rights reserved Any use is subject to the Terms of Use as given at the website

HIDAM A combination of indexed-sequential access to those tree segments which are loaded initially and linked access to new segments placed into the le allows sequential processing, indexed access, and frequent updating Only the key elds of the top segment of a tree instance are kept in the indexed-sequential le; the complete tree instances are kept in the over ow le A separate indexed-over ow le is used to hold keys for new tree instances The initial generation of the le is again a batch process, receiving segments in the desired preorder sequence Updating will disturb this sequence Sequential processing will be slow if updating has scattered the segments of a tree instance over many blocks, or if many new tree instances have been inserted at the end of the le These are also retrieved via the key le, unless two trees have identical keys

As noted in Table 18-1, WebSphere's connection pooling throws two exceptions: 316

When tree instances become excessively large, collections of subtree instances can be kept on a di erent le using as root segments only copies of the keys of the original root segments IMS provides this option for HISAM using schema speci cations without requiring programmer intervention If any indexing, outside of the primary index to the tree instances, is required, lexicons have to be de ned by the user These can be kept using HDAM or HISAM

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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 Java Barcode Generator/Class Library - TarCode.com
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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