Mysql Error Code 1033
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information in file March 2, 2011 I recently encountered this error on Disposeamail - a free disposable email site of mine that uses MySQL heavily for storing mysql error 1033 incorrect information file frm all incoming mail through an email pipe script. I did a lot mysql error 1033 (hy000) incorrect information in file of researching, and basically, there are a few primary culprits I was able to identify that will hopefully incorrect information in file mysql save you some time. Check your /tmp directory MySQL will produce this error sometimes when the temp directory is not writeable. Ensure that /tmp (and/or /var/tmp) has the correct permissions incorrect information in file frm innodb (777) Check the my.cnf file and search for a tmpdir =/tmp flag. Ensure the value is pointing to the correct temp directory. Ensure your /tmp directory is not full Check your my.cnf If you made changes recently, revert them and restart MySQL (especially InnoDB Buffer Pool settings) Restore my.cnf.back is there is one If you are using InnoDB tables ,
Error 1033 Hy000 Incorrect Information In File Mysql Tables_priv Frm
ensure the skip-innodb line in my.cnf is commented out or removed. Clear InnoDB Log Files This step ONLY APPLIES IF THE ABOVE STEPS DID NOT WORK. Read the MySQL Manual page on removing InnoDB log files for a safer backup and restoration procedures. Basically, the steps are: Shut down MySQL Remove ib_logfile* files from the MySQL data directory (move them or rename them if you want to be safe) Re-start MySQL My specific problem was that somehow the "skip-innodb" line got added back into my "my.cnf" file, so MySQL was expecting a different table format when loading data. I suspect this had something to do with my cPanel/WHM setup overwriting the file, but I'll never know for sure. Good Luck! Categories: Programming Technical Tags: database mysql mysql-errors My Projects & WebsitesCountism - Tally Counter App DevData - Developer Data Source MerryList - Christmas Wishlist Creator InvoiceMore - Online Invoicing & Billing Online JavaScript Compressor Online String Functions Frisby.js - REST API testing Recent Posts One Project Selling My Passive Income Stream: JSCompress.com Return Field Errors in Your JSON Error Response
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same SQL layer. In practice the application and/or database designer can choose from a variety of low level data storage implementations that each offer different characteristics and may be chosen on a per table basis. (Even though I personally believe most designs will use one type of table for all tables of a particular schema). The idea behind this is that for example people who do not need transactions should not have to worry about them at all - maybe there is a performance impact involved which they cannot afford to take. Moreover some specialized types of index or column might not be available on all engines. Basically the concept is very interesting and can be really useful for developers. However there is a weakness that in my opinion needs some severe work to be done: The interface between the common SQL layer and the storage engines seems to be somewhat limited with respect to what storage engines can do to inform the level above about status and error conditions. For example there is no (elegant) way to find out about the details of a constraint violation problem when using the InnoDB storage engine. While you will get an error message that some statement failed due to a violation of referential integrity constraints, you have to use the generic "show engine innodb status" command to get some details. However this will not only tell you about the error you care about at that particular moment, but will also give you lots of information on lots of other stuff inside InnoDB. This is however necessary, because you do not have any other means of find out out about those - e. g. when you are investigating a performance problem. From what I learned from a consultant some time ago this is due to the limit interface specification through with MySQL itself (the upper layer) and the storage engines talk to each other. Because this protocol has to be somewhat generic messages from the bottom to the upper levels have to be somehow wrapped into some form of special result set which you then have to parse and understand on your own. Moreover if memory serves me right, there is a limitation on how much data can be transferred at a time (could be a limitation of the client as well). Because of this you will not even always get a full InnoDB status output, because it