Error Hy000 Error Divide By 0 In 128 Bit Arithmetic
Contents |
NULLIF() To Prevent Divide-By-Zero Errors In SQL By Ben Nadel on October 3, 2007 Tags: SQL Boyan Kostadinov just sent me a cool link to an article that is the divide by zero error encountered final part in a four part series that discusses the SQL NULL value. sql query avoid divide by zero I haven't read the first three parts yet, but there is a really cool tip in the fourth part on sql divide by zero work around using NULLIF() to prevent divide-by-zero errors in a SQL call.The idea here is that, as with any other form of math that I know of, you cannot divide by zero in a SQL
Netezza Divide By Zero
call. Therefore, running this code:
Messages 2001-3000 Messages 3001-4000 Messages 4001-5000 Messages 5001-6000 Messages 6001-7000 Messages 7001-7500 Messages 7501-8000 Messages 8001-8500 Messages 8501-9000 Messages 9001-9500 Messages 9501-10000 Messages 10001-10500 Messages 10501-11000 Messages 11001-11500 Messages 11501-12000 Messages 12001-13000 Messages divide by zero error encountered excel 13001-13500 Messages 14001-14500 Home>SQL Server Error Messages> Msg 8134 - Divide by zero error
Msg 8134 Level 16 State 1 Line 1 Divide By Zero Error Encountered
encountered SQL Server Error Messages - Msg 8134 - Divide by zero error encountered SQL Server Error Messages - Msg 8134
Oracle Sql Divide By Zero
Error Message Server: Msg 8134, Level 16, State 1, Line 1 Divide by zero error encountered. Causes: This error is caused by performing a division operation wherein the denominator or the divisor is 0. This https://www.bennadel.com/blog/984-using-nullif-to-prevent-divide-by-zero-errors-in-sql.htm error is not encountered when the denominator or divisor is NULL because this will result to a NULL value. Solution / Work Around: There are three ways to avoid the "Division by zero encountered" error in your SELECT statement and these are as follows: CASE statement NULLIF/ISNULL functions SET ARITHABORT OFF and SET ANSI_WARNINGS OFF Using the CASE statement, your query will look like the following: SELECT CASE WHEN [Denominator] = http://www.sql-server-helper.com/error-messages/msg-8134.aspx 0 THEN 0 ELSE [Numerator] / [Denominator] END AS [Percentage] FROM [Table1] If the denominator or divisor is 0, the result becomes 0. Otherwise, the division operation is performed. Using the NULLIF and ISNULL functions, your query will look like the following: SELECT ISNULL([Numerator] / NULLIF([Denominator], 0), 0) AS [Percentage] FROM [Table1] What this does is change the denominator into NULL if it is zero. Then in the division, any number divided by NULL results into NULL. So if the denominator is 0, then the result of the division will be NULL. Then to return a value of 0 instead of a NULL value, the ISNULL function is used. Lastly, using the SET ARITHABORT and SET ANSI_WARNINGS, your query will look like the following: SET ARITHABORT OFF SET ANSI_WARNINGS OFF SELECT [Numerator] / [Denominator] With both ARITHABORT and ANSI_WARNINGS set to OFF, SQL Server will return a NULL value in a calculation involving a divide-by-zero error. To return a 0 value instead of a NULL value, you can put the division operation inside an ISNULL function: SET ARITHABORT OFF SET ANSI_WARNINGS OFF SELECT ISNULL([Numerator] / [Denominator], 0) Related Articles : Frequently Asked Questions - SQL Server Error Messages Frequently Asked Questions - INSERT Statement Frequently Asked Questions - SELECT Statement
General Discussions View all Getting Started with the Community Community News Get Connected Business Strategy & Best Practices Suggestions for this Community Technical Discussions View all Announcements Visualization Gallery Tech https://community.microstrategy.com/t5/Object-Development/Derived-Metric-Error-Handling/td-p/46851 Corner Idea Exchange Platform (Installation & Deployment) Object Development Reporting, Dashboards, and Document http://docs.aws.amazon.com/redshift/latest/dg/r_numeric_computations201.html Development MicroStrategy Desktop Clients (Interfaces & Visualizations) Administration Tools Intelligence Server Mobile Enterprise Assets (Data Sources & Gateways) MicroStrategy Software Development Kit (SDK) Security (Usher) Performance Events View all Events Blog Symposia 2016 Symposia 2015 Education World 2016 Discussions World 2015 Discussions World 2015 Track Sessions & Customer Presentations Community divide by Menu Register · Sign In · Help Object Development MicroStrategy > Technical Discussions > Object Development > Derived Metric- Error Handling CommunityCategoryBoardKnowledge BaseUsers turn on suggestions Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Derived Metric- Error Handling Reply Topic Options Float Topic for All Users divide by zero Subscribe to RSS Feed Mark Topic as New Mark Topic as Read Float this Topic to the Top Bookmark Subscribe Printer Friendly Page « Message Listing « Previous Topic Next Topic » SujataKulkarni Pioneer Posts: 45 Registered: 01-24-2011 Derived Metric- Error Handling Options Mark as New Bookmark Subscribe Subscribe to RSS Feed Highlight Print Email to a Friend Report Content 03-31-2011 05:30 AM Hi,Suppose we have a condition like division by zero in deriverd mertics column, how Microstrategy handles this or related scenarios?Actually i am still getting some output but not able to understand how exactly it is handled.Thanks & RegardsSujata Report Content Message 1 of 7 (472 Views) Reply 0 Likes Krishna1202869 Pioneer Posts: 17 Registered: 08-30-2010 Re: Derived Metric- Error Handling Options Mark as New Bookmark Subscribe Subscribe to RSS Feed Highlight Print Email to a Friend Report Content 04-01-2011 02:31 AM Hi,If we are performing division by zero in mocrostrategy it returns null,but you mentioned that you are getting some values,it is wrongyou should get nullsThankyou Report Content Message 2 of 7 (472 Views) Reply 0 Likes Deepa1269030 Member Posts: 20 Registered: 01-20-2011 Re:
(API Version 2012-12-01)Entire SiteAMIs from AWS MarketplaceAMIs from All SourcesArticles & TutorialsAWS Product InformationCase StudiesCustomer AppsDocumentationDocumentation - This ProductDocumentation - This GuidePublic Data SetsRelease NotesPartnersSample Code & LibrariesWelcomeAre You a First-Time Amazon Redshift User?Are You a Database Developer?PrerequisitesAmazon Redshift System OverviewData Warehouse System ArchitecturePerformanceColumnar StorageInternal Architecture and System OperationWorkload ManagementUsing Amazon Redshift with Other ServicesGetting Started Using DatabasesStep 1: Create a DatabaseStep 2: Create a Database UserDelete a Database UserStep 3: Create a Database TableInsert Data Rows into a TableSelect Data from a TableStep 4: Load Sample DataStep 5: Query the System TablesDetermine the Process ID of a Running QueryStep 6: Cancel a QueryStep 7: Clean Up Your ResourcesAmazon Redshift Best PracticesBest Practices for Designing TablesTake the Tuning Table Design TutorialChoose the Best Sort KeyChoose the Best Distribution StyleUse Automatic CompressionDefine ConstraintsUse the Smallest Possible Column SizeUsing Date/Time Data Types for Date ColumnsBest Practices for Loading DataTake the Loading Data TutorialTake the Tuning Table Design TutorialUse a COPY Command to Load DataUse a Single COPY CommandSplit Your Load Data into Multiple FilesCompress Your Data FilesUse a Manifest FileVerify Data Files Before and After a LoadUse a Multi-Row InsertUse a Bulk InsertLoad Data in Sort Key OrderLoad Data in Sequential BlocksUse Time-Series TablesUse a Staging Table to Perform a MergeSchedule Around Maintenance WindowsBest Practices for Designing QueriesTutorial: Tuning Table DesignStep 1: Create a Test Data SetStep 2: Establish a BaselineStep 3: Select Sort KeysStep 4: Select Distribution StylesStep 5: Review Compression EncodingsStep 6: Recreate the Test Data SetStep 7: Retest System Performance After TuningStep 8: Evaluate the ResultsStep 9: Clean Up Your ResourcesSummaryTutorial: Loading Data from Amazon S3Step 1: Launch a ClusterStep 2: Download the Data FilesStep 3: Upload the Files to an Amazon S3 BucketStep 4: Create the Sample TablesStep 5: Run the COPY CommandsStep 6: Vacuum and Analyze the DatabaseStep 7: Clean Up Your ResourcesSummaryTutorial: Configuring WLM Queues to Improve Query ProcessingSection 1: Understanding the Default Queue Processing BehaviorSection 2: Modifying the WLM Query Queue Configur