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My problem is that bulk insertion from DataTable to Sql Table. The SQL UPDATE statement is used to update existing records in the tables. C Language; More;. The syntax for the UPDATE statement when updating a. Bulk Processing with BULK COLLECT and FORALLTECHNOLOGY: PL/SQLBy Steven Feuerstein Part 9 in a series of articles on understanding and using PL/SQL In the previous article in this series, I introduced readers to PL/SQL collections. These data structures come in very handy when implementing algorithms that manipulate lists of program data, but they are also key elements in some of the powerful performance optimization features in PL/SQL. In this article, I will cover the two most important of these features: BULK COLLECT and FORALL. BULK COLLECT: SELECT statements that retrieve multiple rows with a single fetch, improving the speed of data retrieval. FORALL: INSERTs, UPDATEs, and DELETEs that use collections to change multiple rows of data very quickly. You may be wondering what very quickly might mean—how much impact do these features really have? Actual results will vary, depending on the version of Oracle Database you are running and the specifics of your application logic. You can download and run the script to compare the performance of row- by- row inserting with FORALL inserting. On my laptop running Oracle Database 1. Release 2, it took 4. With FORALL, those 1. Wow! Answer to the Challenge. The PL/SQL Challenge question in last issue’s “Working with Collections” article tested your knowledge of iterating through the contents of a sparsely populated collection. Choice (c) is the only correct choice, and offers the simplest algorithm for accomplishing this task. DBMS_UTILITY. maxname_array. Strawberry’. l_names (1. Blackberry’. l_names (2) : = ‘Raspberry’. PLS_INTEGER : = l_names. FIRST. WHILE (indx IS NOT NULL). DBMS_OUTPUT. put_line (l_names (indx)). NEXT (indx). Given that PL/SQL is so tightly integrated with the SQL language, you might be wondering why special features would be needed to improve the performance of SQL statements inside PL/SQL. The explanation has everything to do with how the runtime engines for both PL/SQL and SQL communicate with each other—through a context switch. Context Switches and Performance. Almost every program PL/SQL developers write includes both PL/SQL and SQL statements. PL/SQL statements are run by the PL/SQL statement executor; SQL statements are run by the SQL statement executor. When the PL/SQL runtime engine encounters a SQL statement, it stops and passes the SQL statement over to the SQL engine. The SQL engine executes the SQL statement and returns information back to the PL/SQL engine (see Figure 1). This transfer of control is called a context switch, and each one of these switches incurs overhead that slows down the overall performance of your programs. Figure 1: Switching between PL/SQL and SQL engines. Let’s look at a concrete example to explore context switches more thoroughly and identify the reason that FORALL and BULK COLLECT can have such a dramatic impact on performance. Suppose my manager asked me to write a procedure that accepts a department ID and a salary percentage increase and gives everyone in that department a raise by the specified percentage. Taking advantage of PL/SQL’s elegant cursor FOR loop and the ability to call SQL statements natively in PL/SQL, I come up with the code in Listing 1. Code Listing 1: increase_salary procedure with FOR loop. PROCEDURE increase_salary (. IN employees. department_id%TYPE. IN NUMBER). FOR employee_rec. IN (SELECT employee_id. FROM employees. WHERE department_id =. UPDATE employees emp. SET emp. salary = emp. WHERE emp. employee_id = employee_rec. END increase_salary. Suppose there are 1. When I execute this block. PL/SQL engine will “switch” over to the SQL engine 1. Tom Kyte, of Ask. Tom (asktom. oracle. I will show you how you can use PL/SQL’s bulk processing features to escape from “slow- by- slow processing.” First, however, you should always check to see if it is possible to avoid the context switching between PL/SQL and SQL by doing as much of the work as possible within SQL. Take another look at the increase_salary procedure. The SELECT statement identifies all the employees in a department. The UPDATE statement executes for each of those employees, applying the same percentage increase to all. In such a simple scenario, a cursor FOR loop is not needed at all. I can simplify this procedure to nothing more than the code in Listing 2. Code Listing 2: Simplified increase_salary procedure without FOR loop. PROCEDURE increase_salary (. IN employees. department_id%TYPE. IN NUMBER). UPDATE employees emp. SET emp. salary =. WHERE emp. department_id =. END increase_salary. Now there is just a single context switch to execute one UPDATE statement. All the work is done in the SQL engine. Of course, in most real- world scenarios, life—and code—is not so simple. We often need to perform other steps prior to execution of our data manipulation language (DML) statements. Suppose that, for example, in the case of the increase_salary procedure, I need to check employees for eligibility for the increase in salary and if they are ineligible, send an e- mail notification. My procedure might then look like the version in Listing 3. Code Listing 3: increase_salary procedure with eligibility checking added. PROCEDURE increase_salary (. IN employees. department_id%TYPE. IN NUMBER). l_eligible BOOLEAN. FOR employee_rec. IN (SELECT employee_id. FROM employees. WHERE department_id =. IF l_eligible. UPDATE employees emp. SET emp. salary =. WHERE emp. employee_id = employee_rec. END increase_salary. I can no longer do everything in SQL, so am I then resigned to the fate of “slow- by- slow processing”? Not with BULK COLLECT and FORALL in PL/SQL. Bulk Processing in PL/SQLThe bulk processing features of PL/SQL are designed specifically to reduce the number of context switches required to communicate from the PL/SQL engine to the SQL engine. Use the BULK COLLECT clause to fetch multiple rows into one or more collections with a single context switch. Use the FORALL statement when you need to execute the same DML statement repeatedly for different bind variable values. The UPDATE statement in the increase_salary procedure fits this scenario; the only thing that changes with each new execution of the statement is the employee ID. I will use the code in Listing 4 to explain how these features affect context switches and how you will need to change your code to take advantage of them. Code Listing 4: Bulk processing for the increase_salary procedure. CREATE OR REPLACE PROCEDURE increase_salary (. IN employees. department_id%TYPE. IN NUMBER). 5 TYPE employee_ids_t IS TABLE OF employees. TYPE. 6 INDEX BY PLS_INTEGER. BOOLEAN. 1. 2 SELECT employee_id. BULK COLLECT INTO l_employee_ids. FROM employees. 1. WHERE department_id = increase_salary. FOR indx IN 1 . l_employee_ids. COUNT. 1. 9 check_eligibility (l_employee_ids (indx). IF l_eligible. 2. COUNT + 1) : =. 2. END IF. 2. 8 END LOOP. FORALL indx IN 1 . COUNT. 3. 1 UPDATE employees emp. SET emp. salary =. WHERE emp. employee_id = l_eligible_ids (indx). END increase_salary. Lines. Description. Declare a new nested table type and two collection variables based on this type. One variable, l_employee_ids, will hold the IDs of all employees in the department. The other, l_eligible_ids, will hold the IDs of all those employees who are eligible for the salary increase. Use BULK COLLECT to fetch all the IDs of employees in the specified department into the l_employee_ids collection. Check for salary increase eligibility: If ineligible, an e- mail is sent. Note: Implementation of check_eligibility is not included in this article.) 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You are considered to be an itinerant worker if you have shifting places of work and regularly travel to more than one work site each day before returning home. The following characteristics will assist you in determining if your work is itinerant: Travel is a fundamental part of your work. You have a web of workplaces in your regular employment ace of work. Your regularly work at more than one site each day before returning home. Other factors that may indicate itinerancy (to a lesser degree) include: You have a degree of uncertainty of location of your employment. Your home is the base of your employment. You can carry bulky equipment from home to different work sites. Your employer pays you a travel allowance in recognition that you need to travel continually between different work sites. Example 1. Joe is employed as a plumber's labourer and is dispatched to several sites each day. Joe usually travels directly from home to a different site each day to start work. 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Kymy estimates her travel during the financial year as three kilometres per day for five days a week for 4. She uses this method to estimate that she traveled 7. Kymy is considered to have made a reasonable estimate of her business kilometres. Example 2. George is a mechanic who is required to regularly pick up spare parts from a supplier 6 kilometres from his workplace, that is, a 1. George bases his claim for a deduction on 3,1. A check with George's employer reveals that the trip to the supplier is in fact only eight kilometres per round trip, that George made the trip no more than tree days per week and that George also had four weeks holidays. George has not made a reasonable estimate and the claim should have been based on 1,1. Example 3. Alison is a nurse who uses her car to make home help visits. Alison guesses that she traveled approximately 3,5. Alison has not made a reasonable estimate, and cannot claim a deduction for her car expenses. 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