Category: Redshift stored procedure error handling

Redshift stored procedure error handling

28.10.2020 By Fektilar

Environment : Oracle 11g, Toad Hire Now. Experience of Oracle query performance tuning and query optimization techniques.

PL/pgSQL Errors and Messages

Experience of working in waterfall and agile software development environments for development and production support projects. Passionate Toastmaster. Certified competent leader by Toastmaster International.

Worked with application team to define process for new report formats using Tableau and Cognos. Developed new stored procedure and oracle packages and related UNIX shell scripts jobs responsible for loading the data to the data warehouse tables. Fine-tuned a couple of old packages to improve performance and added better error handling capabilities to the existing packages.

Did performance tuning for 5 existing packages. Created required documentation for the changes done to the various packages and shell scripts. Did unit testing and integration testing to ensure quality of final production code.

Lead a team of three junior developers and one tester.

redshift stored procedure error handling

I assigned the tasks, tracked the progress and mentored the new joiners at offshore. Created new Oracle packages to automate the incremental load and updated the live business data from the legacy system to the Oracle tables.

Did performance reviews of existing queries. Created unix shell script to load data to tables. Created at least ten new packages to handle various functionalities related to the store cost calculations as per the business rules. Developed and documented the required test scripts for testing the accuracy of final cost as calculated by the tools. Created required shell scripts jobs in UNIX and did end to end testing for new packages and verified the output against test cases.When importing data using the refresh schedule on the Report Server - is there a performance difference between calling a view or executing a stored procedure?

What about if it's being refreshed multiple times a day? You must beware of parameter sniffing by SP. But in my mind there is no opposite on the performance. Based on my research, when you have imported your data, the performence may refer to the r eport server database. Turn on suggestions. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Showing results for. Search instead for.

Did you mean:. All forum topics Previous Topic Next Topic. Lorian Advocate II. Calling views or stored procedures. Which do you prefer to use? Labels: Report Server On premises. Everyone's tags 3 : Report Server. Message 1 of 3.

How to Write Stored Procedure in SQL Server for Beginners

Re: Calling views or stored procedures. Message 2 of 3. Message 3 of 3. Helpful resources. March Community Highlights Check out the full recap for the month! Read more.

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MySQL Error Handling in Stored Procedures

Tell us what topics you want to hear about—they could be included in our programming! Learn more.The queries were running from top to bottom, one statement after another, in sequence. In simple terms, the control-of-flow of the execution was top to bottom.

A statement block is a series of SQL statements that run together. A statement block is also called a batch. Then read on! The IF…ELSE statement is a combination of statements which allows us to program whether one set of statements are, or another are executed.

Each IF statement has a condition. IF the condition evaluates to true then the statement or statement block is executed. Here is an example within a stored procedure we use to calculate velocity. You can test the stored procedure with the following EXECUTE statementjust be sure to try different values for time, especially one equal to 0. Keep in mind the ELSE statement is optional. Previously we calculated velocity in each block, now, the calculation is outside of the IF statement.

If statements can also be nested. ELSE statement withing the code block or another. Consider the example above, without nested IF, we would have to use Boolean logic. Our example becomes:. Which, I think is harder to maintain — notice how the blue portion is now sprinkled throughout the code.

No only is the logic a little harder to read those inequalities get confusingbut there is a some repeated code. This will make it harder to make changes in the future.

Kris Wenzel has been working with databases over the past 28 years as a developer, analyst, and DBA. Kris has written hundreds of blog articles and many online courses. He loves helping others learn SQL. IF Statement with Code Blocks.Brad wanted to write to a table every time a stored procedure failed so that it was easy to recover the error messages and track issues. His Try-Catch block looked something like this. But I digress. The problem with the above code was that we knew deadlocks were occurring but there was never a single insert into the dbo.

redshift stored procedure error handling

Failures table. This quick script will create our table with data and our table which will be used to log errors. In this script we have the Try-Catch block seen above.

Finally, it will query the Failures table to see if we inserted any rows. This script will be executed during the 5 sec delay from running Script 1.

Roll back the transaction. MsgLevel 13, State 45, Line 31 Transaction Process ID 52 was deadlocked on lock resources with another process and has been chosen as the deadlock victim. Rerun the transaction. The transaction is rolled back. Failures was still part of the first, uncommitted, transaction. This will rollback the transaction which is in an uncommittable state and then allow the Failures record to be INSERTed as a separate transaction.

His passion focuses around high-availabilitydisaster recoverycontinuous integration, and automated maintenance. Creating comma separated strings from a column, or delimited strings as I like to call it, is a very common problem in SQL. The other day I set out to performance tune a database deployment. Events Subscribe. Share this:. Share on Tumblr. Like this: Like Loading How to change the schema of a table The other day I set out to performance tune a database deployment.

Leave a Reply Cancel reply.That was the case with ironSource 3 years ago. After weighing different options, we chose AWS Redshift to be our data warehouse. But to really benefit from its incredible power, we needed to implement some creative solutions that we developed along the way. Eventually, friends in the industry became interested in our solution, and we decided to offer our big data pipeline solution to the public.

It became known as ironSource Atom. Part 1 will focus on slow performance and errors handling, and if you reach the end, a little bonustoo.

Even AWS Redshift has a point when it starts to perform slowly. Here is how your running queries graph should NOT look like:. Now we can start killing irrelevant queries by running:. Sometimes the source of the problem is a connection leak from one of the servers.

In this case, you want to know from which IP the queries are running:. Another issue might be a lock on a table. Here is how you find out:.

Then you can kill a locking sessions by running:. Usually these queries will be enough to solve your current performance problem. But in order to prevent these issues in the future, I recommend looking up some best practices.

You can start with digging into amazon-redshift-utils in github. Using this mechanism you can tell Redshift to read data from files stored in an S3 bucket.

When the COPY command finishes, you might see this response:. Sometimes these or more over time records might be valuable, and you will not want to lose them. At ironSource Atom we know that every row is valuable, so we decided to present these errors in our dashboards:. A more detailed view will display more information:. We even offer the ability to automatically fix the error and reinsert the row soon to come. Now we have two approaches for inserting the problematic rows:.

In this approach we will create a temp table that will hold all the columns of the original table but with a small change in the problematic column. For example, if this is our table:. COPY the data from the S3 again. Now all we need to do is to delete a range of data from the original table and to insert a fixed data point from the temp table:.

If you handle errors differently, I would love to hear your ideas in the comments. It is worth mentioning here that in order to minimize the errors in the copies, you should try to send the data in the proper structure.

Trapping errors

But from our experience, there are always surprises and changes in your events structures, which is why, at ironSource Atom, we validate and fix our data during the transformation layer, before it is written to S3 and copied to Redshift. Yes, sometimes your query might hang and not really be executed. Maximum transmission unit MTU is the largest size packet or frame that can be sent in a packet- or frame-based network. However if you encounter this behavior, negotiating the network of the instances that are running the queries to MTU to will probably solve it.

For more details, here are the AWS docs about this issue.At times, things may happen within stored procedures that are out of the ordinary. The status variables can be a major help in determining what happened. However, at times, the same error handling logic might be needed multiple times within the same procedure.

When this is the case, a Handler routine may be written to "handle" the condition. This is an alternative to coding the same IF statements multiple times. A Handler is a section of logic that executes automatically based on error conditions that may occur during the execution of a stored procedure. This is important because the procedure is executing without interaction from the user.

It does not return until it is finished. So, rather than having an error occur and returning a code to the user to manually determine the next step, the proper action is coded as part of the procedure. It is programmed to "handle" the error condition and perform the necessary processing. Therefore, it is easier for the user and provides less opportunity for human errors and inconsistent results.

But, since it is an EXIT, the procedure ends. Granted, inserting a row is not much of a way to handle an error. Therefore, something more substantial is probably needed for your Handler routines. This is just a quick example of the technique involved in writing handler routines. Teradata Interview Questions. Teradata Practice Tests. IT Skills. Management Skills. Communication Skills.

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redshift stored procedure error handling

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Please include the content causing the issue, any relevant configuration settings, the SQL statement that failed if relevant and the command you ran. Our migration script includes a stored procedure. During DB migration, we don't face any issues and procedure gets created. But during flyway clean command execution, we get below error. Message : Amazon Invalid operation: function.

After looking into the flyway code, observed that the clean action does not differentiate the "procedure" and "function". The procedure also treated like function and execute with command "drop function" instead of "drop procedure". The clean command fails with below error in Redshift DB if the stored procedure exists Amazon Invalid operation: function.

Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Labels c: clean d: Redshift r: fixed t: bug. Milestone Flyway 6. Copy link Quote reply.

Which version and edition of Flyway are you using? Flyway Community Edition 6.