Bind In Peoplesoft

2021年5月6日
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PeopleSoft Enterprise CS Student Records - Version 9.2 and later Information in this document applies to any platform. After applying PUM 18, The Student Advisor Assignment appears there area few bind records missing in the query options - SRSTADADV and SSRSTADSTU.
*Bind In Peoplesoft Login
*Oracle Bind Variables Example
*Bind In Peoplesoft Oracle
*Oracle Bind Variable
*Bind In Peoplesoft Portal
Not long ago I did note that quite many developers are using in Oracle database packages SQL statements as the dynamic SQL. They have learned in somewhere that the bind variables will make the query run faster and save some perfomance. To make clear some basics about Oracle database I wrote the following examples. Please don’t understand me incorrectly the bind variables are fast with dynamic SQL but only in external programming languages like ProC, C or Java. To store your code into a database the dynamic SQL is needed only in some extreme circumnstanses. To keep your queries as a static way in your prodecures and packages will save the compiling time before executing and any missing column or table will be raised as an Oracle exception during you are compiling the code.
To make sure all SQL queries have the same “starting point” and none of them will be cached empty the share_pool. Do it before running any of the following queries. You may need to use your SYS user to execute it.
*You appear to have some confusion about the differences between bind variables in Oracle and substitution variables in SQL.Plus. Let’s start with substitution variables. Substitution variables are unique to SQL.Plus and are not part of the database. They won’t work if you try to use them with JDBC, for example.
*DBName = PeopleSoft database name, such as FSDMO or HRDMO. It is a case sensitive parameter. DBType = PeopleSoft database type, such as DB2ODBC, DB2UNIX, INFORMIX, MICROSFT, ORACLE, or SYBASE. UserID = PeopleSoft ID authorized to start the application server. Commonly used ID is PS.
*ORACLE-BASE - Literals, Substitution Variables and Bind Variables Articles Oracle 8i Oracle 9i Oracle 10g Oracle 11g Oracle 12c Oracle 13c Oracle 18c Oracle 19c Miscellaneous PL/SQL SQL Oracle RAC Oracle Apps WebLogic Linux MySQL.
The first PL/SQL anonymous block will be executed 50000 times with SQL query “SELECT rownum INTO v_cnt FROM dual WHERE rownum = 1;” and to make sure we will get the closest timing we will execute the block 5 times. To measure the execution time we are using SYSDATE and not some fancy procedure that can have bugs. In other words we will keep the block as simple as possible.
The output shows execution time in seconds as 4, 4, 4, 5 and 4 and that makes in average total: 4.2. Naomi emulator raspberry pi.
The second code is written as a dynamic SQL query without the bind variables and we will execute the same statement as above.
The SQL output is very different from the first anonymous block and the times are 9, 9, 10, 9 and 9. That makes the average total: 9.2.
The third anonymous block is a dynamic sql with the bind variables and the query statement is same as previous examples.
The third output shows 4, 5, 4, 4 and 5 and the average is 4.4. The last average is not so far from the first anonymous block with a static SQL but still in long run it will make some difference and even less sense makes to write all your queries dynamically into the database procedures or packages.
The following group of examples are done with Oracle INSERT statement and to try them on your database you would need to create a new table so it wouldn’t break anything existsing.Bind In Peoplesoft Login
The first insert is done to make sure the table has needed tablespace size taken and the INSERT statements would NOT loose any time by extending the tablespace. Once the insert is done we will delete all lines using TRUNCATE TABLE command and don’t worry about the COMMIT the TRUNCATE TABLE statement does commit.
Now we are ready to execute the first INSERT examples and this is static SQL inserting into just created my_oracle_test table and it does it 150000 times. We are keep measuring the time as on the example above and after the anonymous block is done it will truncate the table data. Once again I am running the test 5 times to get the average time.
The output shows 15.99, 16.99, 14.99, 15.99 and 16.99 and that makes the average 16.19.
The second INSERT anonymous block is with a dynamic SQL and WITHOUT the bind variables. The insert statement will stay the same and we will do truncate on the rows after the block is done.
The second insert is way slower than the static SQL and the times are 107, 107, 105, 105 and 105. The average in seconds is 105.8.
The third INSERT is a dynamic SQL and with the bind variables. The rest of code has left as on the previous INSERT examples above.
The SQL output shows times as 15.99, 16.99, 16.99, 15.99 and 15.99. The average is 16.36 and again the timing is not so far from the static SQL (16.19) but we cannot say that a dynamic SQL with the bind variables is quicker than a static SQL.
In short, you should keep your code in database as static and don’t write it as dynamic unless this is something extreme and can’t be written any other way. When you are using C or Java application USE bind variables calling out the database procedure or in SQL queries.Oracle Bind Variables Example

See Also:
Oracle SelectOracle SubstrOracle InstrHome
To understand bind variables, consider an application that generates thousands of SELECT statements against a table; for example:
SELECT fname, lname, pcode FROM cust WHERE id = 674;
SELECT fname, lname, pcode FROM cust WHERE id = 234;
SELECT fname, lname, pcode FROM cust WHERE id = 332;
Each time the query is submitted, Oracle first checks in the shared pool to see whether this statement has been submitted before. If it has, the execution plan that this statement previously used is retrieved, and the SQL is executed. If the statement cannot be found in the shared pool, Oracle has to go through the process of parsing the statement, working out the various execution paths and coming up with an optimal access plan before it can be executed. This process is know as a «hard parse» and for OLTP applications can actually take longer to carry out that the DML instruction itself.
When looking for a matching statement in the shared pool, only statements that exactly match the text of the statements are considered; so, if every SQL statement you submit is unique (in that the predicate changes each time, from id = 674 to id=234 and so on) then you’ll never get a match, and every statement you submit will need to be hard parsed. Hard parsing is very CPU intensive, and involves obtaining latches on key shared memory areas, which whilst it might not affect a single program running against a small set of data, can bring a multi-user system to it’s knees if hundreds of copies of the program are trying to hard parse statements at the same time. The extra bonus with this problem is that contention caused by hard parsing is pretty much immune to measures such as increasing available memory, numbers of processors and so on, as hard parsing statements is one thing Oracle can’t do concurrently with many other operations, and it’s a problem that often only comes to light when trying to scale up a development system from a single user working on subset of records to many hundreds of users working on a full data set.Bind In Peoplesoft Oracle
The way to get Oracle to reuse the execution plans for these statements is to use bind variables.Bind variables are «substituion» variables that are used in place of literals(such as 674, 234, 332) and that have the effect of sending exactly the same SQL to Oracle every time the query is executed. For example, in our application, we would just submitOracle Bind Variable
SELECT fname, lname, pcode FROM cust WHERE id = :cust_no;Bind In Peoplesoft Portal
and this time we would be able to reuse the execution plan every time, reducing the latch activity in the SGA, and therefore the total CPU activity, which has the effect of allowing our application to scale up to many users on a large dataset.
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