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Declarative Rule Condition Check Flag Variable this.myFlagVariable == 7 workflowToken SendEmailA External Policy Test <a valid email address in your environment> workflowToken SendEmailB External Policy Test <a valid email address in your environment>
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You want to add custom formulas to your pivot table, but you re not sure when to use a calculated field and when to use a calculated item. The example shown is from the OrderStatus.xlsx workbook.
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In this implementation, I assume that NativeLib::SampleCipher::Encrypt is a non-blocking operation and that it returns in reasonable time. If you cannot make this assumption, you should avoid pinning the managed objects while calling the native Encrypt function. You can achieve this by copying the managed array to native data before you pass the array to Encrypt, and by copying the native encrypted data into the buffer managed array. On the one hand, this is an extra overhead for type marshaling, but on the other hand, it can prevent long pinning times.
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And next are the post-optimization results on Oracle Database, also from six executions with distinct datasets: ILO_MODULE Process 1 Process 3 Process 4 Process 5 AVERAGE 220.563 124.693 184.803 79.745 VARIANCE 851.481 783.041 15476.636 1290.146 VMR 3.860 6.280 83.747 16.178 CPU_AVERAGE CPU_VARIANCE 47.237 93.632 184.578 79.608 47.337 504.290 15483.162 1289.177 CPU_VMR .215 4.044 83.782 16.166
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Reliable Message Delivery in a Web Services World: A Proposed Architecture and Roadmap IBM Corporation and Microsoft Corporation Whitepaper (March 2003, Version 1) Located at MSDN Home Web Services Home Understanding Web Services Advanced Web Services
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fashion. Data will be placed where it fits best, rather than in any specific sort of order. Many people expect data to come back out of a table in the same order it was put into it, but with a heap, this is definitely not assured. In fact, rather the opposite is guaranteed: the rows will come out in a wholly unpredictable order. This is quite easy to demonstrate. In this example, I will set up a table such that in my database I can fit one full row per block (I am using an 8KB block size). You do not need to have the case where you only have one row per block I am just taking advantage of this to demonstrate a predictable sequence of events. The following sort of behavior (that rows have no order) will be observed on tables of all sizes, in databases with any block size: ops$tkyte%ORA11GR2> create table t 2 ( a int, 3 b varchar2(4000) default rpad("*",4000,"*"), 4 c varchar2(3000) default rpad("*",3000,"*") 5 ) 6 / Table created. ops$tkyte%ORA11GR2> insert into t (a) values ( 1); 1 row created. ops$tkyte%ORA11GR2> insert into t (a) values ( 2); 1 row created. ops$tkyte%ORA11GR2> insert into t (a) values ( 3); 1 row created. ops$tkyte%ORA11GR2> delete from t where a = 2 ; 1 row deleted. ops$tkyte%ORA11GR2> insert into t (a) values ( 4); 1 row created. ops$tkyte%ORA11GR2> select a from t; A ---------1 4 3 Adjust columns B and C to be appropriate for your block size if you would like to reproduce this. For example, if you have a 2KB block size, you do not need column C, and column B should be a VARCHAR2(1500) with a default of 1,500 asterisks. Since data is managed in a heap in a table like this, as space becomes available, it will be reused.
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The initial INSERT INTO T statement will generate both redo and undo. The undo generated will be enough information to make the INSERT go away. The redo generated by the INSERT INTO T will be enough information to make the INSERT happen again. After the INSERT has occurred, we have the scenario illustrated in Figure 9-1.
Design Patterns for Building Message-Oriented Web Services
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