Optimize Error Table Is Read Only
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Mysql Read Only Mode
Server Administration Security Backup and Recovery Optimization Language Structure Globalization Data Types Functions and Operators mysql disable read-only SQL Statement Syntax The InnoDB Storage Engine Introduction to InnoDB Benefits of Using InnoDB Tables Best Practices for InnoDB Tables Checking InnoDB Availability Testing mysql check if read only and Benchmarking with InnoDB Turning Off InnoDB InnoDB and the ACID Model InnoDB Multi-Versioning InnoDB Architecture Buffer Pool Change Buffer Adaptive Hash Index Redo Log Buffer System Tablespace InnoDB Data Dictionary Doublewrite Buffer Undo Log File-Per-Table Tablespaces Undo Tablespace Redo Log Group Commit for Redo Log Flushing InnoDB Locking and
Error 1036 (hy000): Table Is Read Only
Transaction Model InnoDB Locking InnoDB Transaction Model Transaction Isolation Levels autocommit, Commit, and Rollback Consistent Nonlocking Reads Locking Reads Locks Set by Different SQL Statements in InnoDB Phantom Rows Deadlocks in InnoDB An InnoDB Deadlock Example Deadlock Detection and Rollback How to Minimize and Handle Deadlocks InnoDB Configuration InnoDB Startup Configuration Configuring InnoDB for Read-Only Operation InnoDB Buffer Pool Configuration The InnoDB Buffer Pool Configuring Multiple Buffer Pool Instances Making the Buffer Pool Scan Resistant Configuring InnoDB Buffer Pool Prefetching (Read-Ahead) Configuring InnoDB Buffer Pool Flushing Fine-tuning InnoDB Buffer Pool Flushing Saving and Restoring the Buffer Pool State Monitoring the Buffer Pool Using the InnoDB Standard Monitor Configuring the Memory Allocator for InnoDB Configuring InnoDB Change Buffering Configuring the Change Buffer Maximum Size Configuring Thread Concurrency for InnoDB Configuring the Number of Background InnoDB I/O Threads Configuring the InnoDB Master Thread I/O Rate Configuring Spin Lo
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Mysql Read_only
professionals who wish to improve their database skills and learn from others in the community. Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can https://dev.mysql.com/doc/refman/5.6/en/innodb-read-only-instance.html answer The best answers are voted up and rise to the top Optimizing MySQL for Read-Only? up vote 4 down vote favorite 1 We have 14 GB worth of CSV's which total 138 million rows. I imported this into a MySQL table first with InnoDB, and then tried again with MyISAM. In both cases, a simple SELECT on primary key (which is just an autoincremented int) took 6-7 seconds, though MyISAM sometimes http://dba.stackexchange.com/questions/22509/optimizing-mysql-for-read-only was a little faster at 5-6 seconds. We only need to write the data once, and I've been using mysqlimport. With that in mind, how can I improve the query speed? ...it's worth nothing that we have 2 gigs of RAM and everything is one table (and it has to stay that way due to the nature of the queries). Is that the best performance I can expect given the hardware? Or is there something else I should try, like compression? Or really, I need a lot more RAM? mysql innodb optimization myisam hardware share|improve this question asked Aug 15 '12 at 8:18 tiredofcoding 6215 1 What was the query that took 6 seconds? SELECT * FROM table WHERE pk=? Can you provide the table's structure? (SHOW CREATE TABLE output) –ypercubeᵀᴹ Aug 15 '12 at 8:47 Dump it, it will faster thank import ... –user10872 Aug 15 '12 at 11:16 2 What type of queries will you be running against this table? –ypercubeᵀᴹ Aug 15 '12 at 12:51 add a comment| 1 Answer 1 active oldest votes up vote 1 down vote accepted MyISAM ROW FORMAT If the table is a lot of VARCHAR fields, I would love to suggest the following For every MyISAM table you load, do t
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn http://stackoverflow.com/questions/2780537/speed-up-of-readonly-myisam-table more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Speed-up of readonly MyISAM table up vote 4 down vote favorite 3 We have a large MyISAM table that is used to archive old data. This archiving read only is performed every month, and except from these occasions data is never written to the table. Is there anyway to "tell" MySQL that this table is read-only, so that MySQL might optimize the performance of reads from this table? I've looked at the MEMORY storage engine, but the problem is that this table is so large that it would take a large portion of the servers memory, which I don't want. Hope my question is clear table is read enough, I'm a novice when it comes to db administration so any input or suggestions are welcome. mysql performance myisam share|improve this question asked May 6 '10 at 11:04 Ozzy 1,357713 add a comment| 3 Answers 3 active oldest votes up vote 1 down vote accepted Yes, you can compress the myisam tables. Here is the doc from 5.0 : http://dev.mysql.com/doc/refman/5.0/en/myisampack.html share|improve this answer answered May 6 '10 at 11:17 Cine 2,5481434 ...but then you need to unpack it each month to add more rows. And there's not a huge impact on performance - I suspect the OP may get a lot more mileage out of conventional query / DDL tuning –symcbean May 6 '10 at 11:29 ok, thanks for the input! I've already considered the usual things, such as adding indexes etc (which have gained the performance already) but I'll definitely check if I can tweak it some more by using myisampack. –Ozzy May 6 '10 at 13:37 add a comment| up vote 3 down vote Instead of un-and re-compressing the history table: If you want to access a single table for the history, you can use a merge table to combine the compressed read-only history tables. Thus assuming you have an active table and the compressed history tables with the same table structure, you could use the following scheme: The tables: co