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Transaction Service Behaviors The two behaviors de ned at the operation level, and , are described earlier in this section At the service level, there are two additional behaviors to consider: and attribute, as its name implies, affects The the isolation level of the transaction Isolation refers to the I in ACID and governs how isolated the transaction is from the environment around it , the default, provides the There are many isolation levels highest degree of isolation and prevents others from updating data until the transaction completes For instance, if the transaction contains a statement, no other process can insert or delete any data until the transaction completes provides the lowest level of isolation, enabling other processes to read and write data that a transaction updated before that transaction competes In practice, it s , and instead, best to leave the isolation level at its default, avoid transactions that lock more data than necessary, as in the case of The transaction isolation level must be consistent between the de ned by the client and the de ned by the service behavior If neither is speci ed, the default, , is used Listing 522 shows the client and service setting, each to The length of time that a transaction may run for can also be controlled This can be set on the client or the service, each for different purpose On the client, this may be done to limit the amount of time that a user-initiated transactional operation runs On the server, it may be set by a system administrator to ensure that no one transaction can consume too many resources is set to 30 seconds In Listing 522, on the client, indicating that the user-initiated transaction should be aborted if it runs for more than 30 seconds Also in Listing 522, the Ser, is set to 1 minute on the server, indiviceBehavior, cating that if any transaction runs for more than 1 minute, it will be automatically aborted.



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SecureRandom object, it s likely to be an error The following rule ags all places where SecureRandom() is invoked with an explicit seed value:

Conservation of threads is a side effect of conserving client connections One server thread is allocated per client connection; if that connection is reused by the client, the same server thread is used to dispatch the remote call at the server end Again, this is a feature of Sun's implementation The RMI specification explicitly makes no guarantees about which thread is used to dispatch an incoming remote call in an RMI server In particular, there is no guarantee that any two remote calls from the same RMI client will or will not execute in the same server thread[8] RMI server design must not make any such assumption

Structural rule:





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Custom behaviors enable you to insert code at crucial points as WCF builds the runtime and the message processing pipeline Behaviors can be added in code, by manipulating the service description manually, with attributes or with con guration In all cases, the code can take ancillary actions, such as looking up information in a directory or logging data for auditing purposes

FunctionCall fc: (fcfunction is [name == "SecureRandom" and enclosingClasssupers contains [Class: name == "javasecuritySecureRandom"]]) and (fcfunctionparameterTypeslength != 0)

RMI specification, 32

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It s rare that entropy gathered programmatically is better than what SecureRandom gathers for itself If you do have a better source of entropy at your disposal, such as a hardware random number generator, consider authoring a SecureRandom implementation to leverage this source internally

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Generating Random Numbers in C and C++ The same errors evidenced in Example 115 often occur in C and C++ programs The standard C library includes a plethora of statistical PRNGs, none of which is suitable for producing unpredictable values When unpredictability is required, avoid the standard PRNGs, such as rand(), srand(), srand48(), drand48(), lrand48(), random(), and srandom() Example 118 repeats the same mistake as Example 115 by using lrand48(), which is a statistical PRNG, to generate predictable coupon codes for an e-commerce site

The consequence of all this resource conservation is that RMI makes better use of TCP than you might make yourself in a straightforward implementation:

Parameter Inspection IEndpointBehavior{ AddBindingParameters(); ApplyClientBehavior(); ApplyDispatchBehavior(); Validate(); } Note: IOperationBehavior and IContractBehavior have similar interface signatures Client Operation Message Formatting

void generateCouponCode(char* couponCode, char* couponBase) { int num; time_t t1; (void) time(&t1); srand48((long) t1); /* use time to set seed */ snprintf(couponCode, MAX_COUPON, "%s%u", couponBase, lrand48()); }

Although it s just as easy to make errors related to random numbers in C and C++, the choice of good solutions is not nearly as clear-cut as in Java On Microsoft platforms, rand_s() (from the Microsoft Safe CRT) and CryptGenRandom() (from the Microsoft CryptoAPI) provide access to cryptographically strong random values produced by the underlying RtlGenRandom() PRNG A word of caution though: Despite the lack of empirical evidence to the contrary, the strength of the random values that the Microsoft CryptoAPI produces is based only on Microsoft s own claims the implementation has not been publicly vetted Because Microsoft platforms do not provide direct access to sources of entropy equivalent to /dev/random and /dev/urandom, the CryptoAPI functions seed themselves by default with entropy collected on a systemwide basis from a variety of sources, including the process ID and thread ID, the system clock, the system time, the system counter, memory status, free disk clusters, and the hashed user environment block [Microsoft CryptGenRandom, 2007] Example 119 demonstrates how the code

IParameterInspector { AfterCall(); BeforeCall(); } IClientMessageFormatter { SerializeRequest(); DeserializeReply(); }

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