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It runs in modern browsers, also on phones. "QuaggaJS is a barcode - scanner entirely written in JavaScript supporting real- time localization and decoding of various types of barcodes such as EAN, CODE 128, CODE 39, EAN 8, UPC-A, UPC-C, I2of5, 2of5, CODE 93 and CODABAR.


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Enqueues are similar to locks in that they are internal mechanisms that control access to resources. High enqueue waits indicate that a large number of sessions are waiting for locks held by other sessions. You can query the dynamic performance view V$ENQUEUE_STAT to find out which of the enqueues have the most wait times reported. You can do this by using the cum_wait_time column of the view. Note that the use of locally managed tablespaces eliminates several types of enqueues such as space transactions (ST) enqueues. In a system with a massive concurrent user base, most common enqueues are due to infrequent commits (or rollbacks) by transactions that force other transactions to wait for the locks held by the early transactions. In addition, there may be a problem with too few interested transactions list (ITL) slots, which also show up as transaction (TX) enqueues. Locally managed tablespaces let you avoid the most common types of space-related enqueues.

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Tell Java programmers how to achieve highly accurate Code 39 barcode reading and scanning from common raster image files and Java AWT image object.

An event target returns an unexpected response. A timeout occurs while waiting for target to process a notification. Once an error occurs, the event source may need to log the error. Alternatively, the event source may collect all the errors that occur in a multicast and then log them together.

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The DBA had little control over how much of this memory would or would not be used She could set the SORT_AREA_SIZE, but if there were 10 concurrent sorts, then Oracle could use as much as 10 * SORT_AREA_SIZE bytes of RAM If there were 100 concurrent sorts, then Oracle would use 100 * SORT_AREA_SIZE bytes; for 1,000 concurrent sorts, 1,000 * SORT_AREA_SIZE; and so on Couple that with the fact that other things go into the PGA, and you really don t have good control over the maximal use of PGA memory on the system What you would like to have happen is for this memory to be used differently as the memory demands on the system grow and shrink The more users, the less RAM each should use The fewer users, the more RAM each should use.

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Java Barcode Image Generation Library. Contribute to barnhill/ barcode - java development by creating an account on GitHub.

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Latches are internal serialization mechanisms used to protect shared data structures in Oracle s SGA. You can consider a latch as a type of lock that s held for an extremely short time period. Oracle has several types of latches, with each type guarding access to a specific set of data. The latch free wait event is incremented when a process can t get a latch on the first attempt. If a required Oracle latch isn t available, the process requesting it keeps spinning and retrying to gain the access. This spinning increases both the wait time and the CPU usage in the system. Oracle uses about 200 latches, but two of the important latches that show up in wait statistics are the shared pool latch (and the library cache latches) and the cache buffers LRU chain. It s normal to see a high number of latch free events in an instance. You should worry about this wait event only if the total time consumed by this event is high. High latch waits will show up in your AWR reports, or you can use the query shown in Listing 22-17 to find out your latch hit ratio.

Listing 22-17 Determining the Latch Hit Ratio SQL> SELECT aname "Latch Name", agets "Gets (Wait)", amisses "Misses (Wait)", (1 - (misses / gets)) * 100 "Latch Hit Ratio %" FROM V$LATCH a WHERE agets != 0 UNION SELECT aname "Latch Name", agets "Gets (Wait)", amisses "Misses (Wait)", 100 "Latch Hit Ratio" FROM V$LATCH a WHERE agets = 0 ORDER BY 1; SQL> If the ratio isn t close to 1, it s time to think about tuning the latch contention in your instance There s only one shared pool latch for the database, and it protects the allocation of memory in the library cache The library cache latch regulates access to the objects present in the library cache Any SQL statement, PL/SQL code, procedure, function, or package needs to acquire this latch before execution.

Setting WORKAREA_SIZE_POLICY = AUTO is just such a way to achieve this The DBA specifies a single size now, the PGA_AGGREGATE_TARGET or the maximum amount of PGA memory that the database should strive to use Oracle will distribute this memory over the active sessions as it sees fit Further, with Oracle9i Release 2 and up, there is even PGA advisory (part of Statspack, available via a V$ dynamic performance view and visible in Enterprise Manager), much like the buffer cache advisor It will tell you over time what the optimal PGA_AGGREGATE_TARGET for your system is to minimize physical I/O to your temporary tablespaces You can use this information to either dynamically change the PGA size online (if you have sufficient RAM) or decide whether you might need more RAM on your server to achieve optimal performance.

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Java library for Barcode scanner? - Stack Overflow
Zxing is a good option. You can also try this: http://www.softpedia.com/get/ Programming/Components- Libraries / Java - Barcode - Reader .shtml.

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generate code39 barcode data in java ? - Stack Overflow
According to Wikipedia Code 39 is restricted to 43 characters.In order to generate it's encoding data I've used the following code:

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