Error Log Database Design
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Error Log Table Structure
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Error Log Table Design
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How To Create Error Log Table In Sql Server
Error Log Database — For many apps up vote 5 down vote favorite 3 I have a bunch of existing client/server applications that are currently chugging along. Once in a while, a client will want to add on some type of web-interface to access part of their data. These are typically custom, although some are "generic"; but everyone has their own "instance" in sql server error log query its own VM. What I want is a centralized area to capture and log any errors that come up on any of these VMs. I'm consitering creating a new database and setting up a WCF Service to enable each of these webapps to create a log entry in my centralized database as well as to the local EventLog. Is that a bad design? update The webapps are on 2003/IIS6 and 2008/IIS7, built in ASP.NET. Many of the instances are on a pair of web servers, but many will be deployed to individual VMs. design exception logging error-logging share|improve this question edited Jan 4 '10 at 18:54 asked Jan 4 '10 at 18:46 Nate 18.4k1477151 Can you provide some more details on the platform you're using? It sounds like Windows+IIS...? –Wim Jan 4 '10 at 18:50 add a comment| 3 Answers 3 active oldest votes up vote 4 down vote accepted This is exactly how we implemented it. We have 3 tables in the database: Event Types ------------ EventType int EventDescription varchar(50) MonitoredSystems --------------- SystemID int SystemName varchar(50) SystemDescription text Events ------- RecordID bigint EventTime datetime Syste
Get Help from Others Q&A: Ask OpenMRS » Discussion: OpenMRS Talk » Real-Time: IRC Chat Projects Attachments (0) Page History Restrictions Page Information Resolved comments Link to this Page… View sql server errorlog in Hierarchy View Source Export to PDF Export to Word Projects … Home sp_readerrorlog Archived Projects Logging Errors to the Database Logging Errors to the Database(design page) Skip to end of metadata Created elmah by Sri Maurya Kummamuru, last modified on 2012-04-06 Go to start of metadata Abstract : Log uncaught exceptions to a database table, along with associated metadata (date/time, user, page and/or service, stack http://stackoverflow.com/questions/2001358/error-log-database-for-many-apps trace summary, unique identifier) and provide this information to users in the default error handler so that they can provide a specific error log id along with their bug report. Provide tools to mine this database table to find patterns in error messages, users who frequently hit problems, and to assist in proactively improving the system regardless of whether or not users are reporting https://wiki.openmrs.org/pages/viewpage.action?pageId=33554705 their errors. Implementation: This idea is already implemented in Haiti which includes creating two tables The exception_log table lists summary information and metadata about the overall exception: exception_log ( id, -- Primary key of the table exception_class, -- The specific type of exception that was thrown (eg. NullPointerException) message, – The exception message ( eg. throwable.getMessage() ) exception_datetime, -- Timestampfor the exception user_id -- References user to store which user experienced the error) The exception_log_detail table lists the specific stack trace information that is relevant. This might be restricted on only those parts of a stack trace that provide useful, actionable information (for example, only those classes that match a certain pattern, or only those lines of a stack trace that contain certain information): exception_log_detail ( id, – Primary key of the table exception_log_id, – References the exception_log table above file_name, – The filename extracted from the stack trace class_name, – Theclass name extracted from the stack trace class_name, – The method name extracted from the stack trace line_number – The line number extracted from the stack trace) the main thing is to fill these two tables every time an unhandl
Grzegorz Kaczor Systems Architect at e-point SA Posted: July 17, 2015 Why Talk About Errors? Model Setup 1 – Using Invalid Names 2 – Insufficient Column Width 3 – Not Indexing Properly http://www.vertabelo.com/blog/technical-articles/7-common-database-design-errors 4 – Not Considering Possible Volume or Traffic 5 – Ignoring Time Zones http://www.codeproject.com/Articles/25044/Error-logging-techniques-using-Database 6 – Missing Audit Trail 7 – Ignoring Collation Why Talk About Errors? The art of designing a good database is like swimming. It is relatively easy to start and difficult to master. If you want to learn to design databases, you should for sure have some theoretic background, like knowledge about error log database normal forms and transaction isolation levels. But you should also practice as much as possible, because the sad truth is that we learn most… by making errors. In this article we will try to make learning database design a little simpler, by showing some common errors people make when designing their databases. Note that we will not talk about database normalization – we assume the error log table reader knows database normal forms and has a basic knowledge of relational databases. Whenever possible, covered topics will be illustrated by models generated using Vertabelo and practical examples. This article covers designing databases in general, but with emphasis on web applications, so some examples may be web application-specific. Model Setup Let’s assume we want to design a database for an online bookstore. The system should allow customers to perform the following activity: browse and search books by book title, description and author information, comment on books and rate them after reading, order books, view status of order processing. So the initial database model could look like this: To test the model, we will generate SQL for the model using Vertabelo and create a new database in PostgreSQL RDBMS. The database has eight tables and no data in it. We have populated the database with some manually created test data. Now the database contains some exemplary data and we are ready to start the model inspection, including identifying potential problems that are invisible now but can arise in the future, when the system will be used by real customers. 1 – Using Invalid Names Here y
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