One way to log the execution time of a procedure in Oracle is to use the DBMS_UTILITY.GET_TIME function. This function returns the current system time in hundredths of a second. To log the execution time of a procedure, you can store the current system time before and after the procedure execution, and calculate the difference to determine the total execution time. This can be done by calling the GET_TIME function and storing the result in a variable before and after the procedure execution, and then subtracting the two values to get the total execution time. You can then log this information in a table or file for future reference or analysis.
How to analyze the performance of a procedure by logging execution time in Oracle?
To analyze the performance of a procedure by logging execution time in Oracle, you can follow these steps:
- Start by adding code to your procedure to capture the start and end times of its execution. You can use the following PL/SQL code snippet to do this:
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DECLARE
v_start_time TIMESTAMP;
v_end_time TIMESTAMP;
BEGIN
v_start_time := systimestamp;
-- Your procedure code here
v_end_time := systimestamp;
-- Insert the start and end times into a log table along with any other relevant information
INSERT INTO procedure_log_table (procedure_name, start_time, end_time)
VALUES ('Your Procedure Name', v_start_time, v_end_time);
END;
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- Create a log table in your Oracle database to store the execution times of your procedure. You can use the following SQL script to create a simple log table:
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CREATE TABLE procedure_log_table (
log_id NUMBER PRIMARY KEY,
procedure_name VARCHAR2(100),
start_time TIMESTAMP,
end_time TIMESTAMP
);
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- Modify your procedure to insert the start and end times along with any other relevant information into the log table.
- Execute your procedure and monitor the log table to review the execution times. You can use SQL queries to analyze the data stored in the log table and identify any performance issues or areas for improvement.
By logging the execution times of your procedure in Oracle, you can track its performance over time and make informed decisions to optimize its performance.
What are the best practices for logging execution time of procedures in Oracle?
There are several best practices for logging execution time of procedures in Oracle:
- Use the DBMS_UTILITY.GET_TIME function: This function can be used to measure the elapsed time between two points in a PL/SQL block. You can use this function to log the start and end times of the procedure, and calculate the total execution time.
- Use DBMS_APPLICATION_INFO package: This package allows you to set custom module and action names for the current session. You can set the module and action names at the beginning and end of the procedure, and then query V$SESSION to get the total execution time.
- Use Oracle AWR (Automatic Workload Repository): AWR collects performance statistics, including execution time, for all SQL statements executed in the database. You can use AWR reports to track the execution time of your procedures over time.
- Use DBMS_PROFILER: DBMS_PROFILER is a package provided by Oracle for performance tuning and profiling. You can use this package to profile your procedure and get detailed timing information.
- Use logging tables: You can create a custom logging table to record the start and end times of your procedures, along with any other relevant information. This allows you to query the logging table to get detailed execution time information.
Overall, the best practice for logging execution time of procedures in Oracle is to use a combination of built-in functions, packages, and custom logging tables to accurately measure and track the performance of your procedures.
How to record the start and end time of a procedure in Oracle for performance monitoring?
One way to record the start and end time of a procedure in Oracle for performance monitoring is to use the DBMS_UTILITY.GET_TIME function to capture the start time at the beginning of the procedure, and then capture the end time at the end of the procedure.
Here is an example of how you can do this:
- Start by declaring two variables to store the start and end time:
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DECLARE
v_start_time NUMBER;
v_end_time NUMBER;
BEGIN
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- Capture the start time using the DBMS_UTILITY.GET_TIME function:
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v_start_time := DBMS_UTILITY.GET_TIME;
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- Perform your procedure or operation:
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-- Your procedure code goes here
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- Capture the end time using the DBMS_UTILITY.GET_TIME function:
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v_end_time := DBMS_UTILITY.GET_TIME;
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- Calculate the total execution time of the procedure:
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DBMS_OUTPUT.PUT_LINE('Total execution time: ' || (v_end_time - v_start_time) || ' hundredths of a second');
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- End the block:
You can run this code in SQL*Plus, SQL Developer, or any other SQL execution tool to monitor the performance of your procedure. The output will display the total execution time of the procedure in hundredths of a second. You can use this information to analyze and optimize the performance of your Oracle procedures.
How to use SQL Trace to log execution time of a procedure in Oracle?
To use SQL Trace to log the execution time of a procedure in Oracle, you can follow these steps:
- Enable SQL Trace for the session in which the procedure will be executed by running the following command:
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ALTER SESSION SET SQL_TRACE = TRUE;
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- Execute the procedure whose execution time you want to log.
- Once the procedure has been executed, disable SQL Trace by running the following command:
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ALTER SESSION SET SQL_TRACE = FALSE;
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- Find the trace file generated for the SQL Trace session. You can do this by querying the V$DIAG_INFO view, which will give you the location of the trace files. Run the following query:
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SELECT value FROM V$DIAG_INFO WHERE name = 'Diag Trace';
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- Open the trace file using a text editor or a tool like TKPROF to analyze the execution time of the procedure. Look for the sections in the trace file related to the execution of the procedure and examine the timings recorded.
By following these steps, you can use SQL Trace to log the execution time of a procedure in Oracle and analyze it to identify any performance bottlenecks or potential optimizations.