MySQL Variable size usage in shell prompt
Hi, When we are trying to restore the dump file, we got an error like Got a packet bigger than max_allowed_packet. Then we increased max_allowed_packet variable size and passed along with MySQL restore command. mysql -max_allowed_packet=128M -uusername -p /path/file.sql After increasing the variable size also we got same error. Later we converted the value from 128M to 134217728 Bytes, then restore done successfully. In case my.cnf, when we pass the value for MySQL variables its accepting either in bytes, K, M or G. Why it doesn't consider128M in MySQL prompt while restoring the dump file? Regards Manivannan S DISCLAIMER: This email message and all attachments are confidential and may contain information that is Privileged, Confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official of SPAN, shall be understood to be nether given nor endorsed by SPAN.
Performance Improvements with VIEW
Hi, I've a table with 10 Million records in MySQL with INNODB engine. Using this table I am doing some calculations in STORED PROCEDURE and getting the results. In Stored Procedure I used the base table and trying to process all the records in the table. But it's taking more than 15 Minutes to execute the procedure. When executing the Procedure in the process list I am getting 3 states like 'Sending data', 'Sorting Result' and 'Sending data' again. Then I created one view by using the base table and updated the procedure by replacing that view in the place of a base table, it took only 4 minutes to execute the procedure with a view. When executing the Procedure in the process list I am getting 2 states like 'Sorting Result' and 'Sending data'. The first state of 'Sending data' is not happened with view, It's directly started with 'Sorting Result' state. When I'm referring some MySQL sites and other blogs, I have seen that VIEWS will never improve the performance. But here I see some improvements with a view. I would like to know how VIEW is improving the performance. Regards Manivannan S DISCLAIMER: This email message and all attachments are confidential and may contain information that is Privileged, Confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official of SPAN, shall be understood to be nether given nor endorsed by SPAN.
Installation of MySQL in Redhat Linux 6.0
Hi all, I am using Redhat Linux 6.0 (64 bit) machine, in this machine I am trying to install MySQL5.5 glibc23 server and client packages as a root user. While installing I am getting the following error: ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/var/lib/mysql/mysql.sock' (2) When I try to install the MySQL rhel6 package then MySQL is installed and service also started successfully. But I am not able to install the glibc23 package with SELinux is enabled in my Redhat linux machine. After Disabling the SELinux, I was able to install MySQL glibc23 package. I want to know why MySQL glibc23 package is not able to install with SELinux enabled?? Thanks in advance. Regards, Manivannan S DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email or to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official business of SPAN, shall be understood to be neither given nor endorsed by SPAN.
RE: NoSQL help
I tried with myisam engine also. But it also taking more time to generate the report. In my database I am having 8 innodb tables and at the same time I am joining 4 tables to get the report. I am maintaining 60days records because the user will try to generate the report out of 60 days in terms of second, minute, hourly, weekly and Monthly report also. From: Ananda Kumar [mailto:anan...@gmail.com] Sent: Thursday, June 14, 2012 12:32 AM To: Rick James Cc: Johan De Meersman; Manivannan S.; mysql@lists.mysql.com Subject: Re: NoSQL help Did you try with myisam tables. They are supposed to be good for reporting requirement On Wed, Jun 13, 2012 at 11:52 PM, Rick James rja...@yahoo-inc.commailto:rja...@yahoo-inc.com wrote: I'll second Johan's comments. Count the disk hits! One minor change: Don't store averages in the summary table; instead store the SUM(). That lets you get the mathematically correct AVERAGE over any time range via SUM(sum_foo) / SUM(count_foo) Switching between MySQL and Mongo requires rewriting _all_ of the relevant code. opinion NoSQL will be no better than MySQL for 150GB. /opinion Count the disk hits! I recently built a system that topped out at 350GB (90 days' data). It involved hourly ingestion of a few GB of data and a variety of reports. The prototype showed that most reports would take about an hour to run. Not good. The final product, with summary tables, lets the reports be run on-demand and online and each takes only a few seconds. By careful use of MEMORY tables, LOAD DATA, etc, the ingestion takes 5 minutes (each hour) for the raw data and 2 minutes (total) for the 7 summary tables. PARTITIONing was vital for the design. Once an hour a new partition is populated; once a day, 24 hourly partitions are rolled into a new daily partition and the 90-day old partition is DROPped. -Original Message- From: Johan De Meersman [mailto:vegiv...@tuxera.bemailto:vegiv...@tuxera.be] Sent: Wednesday, June 13, 2012 6:20 AM To: Manivannan S. Cc: mysql@lists.mysql.commailto:mysql@lists.mysql.com Subject: Re: NoSQL help - Original Message - From: Manivannan S. manivanna...@spanservices.commailto:manivanna...@spanservices.com Hi all, [lots of data] [slow reports] [wooo NoSQL magic] Not that I want to discourage you, but my standard first question is why do you think NoSQL (let alone any specific product) is the right solution? :-) Don't get me wrong, it might be; but from what little I now know about your environment, it sounds like applying some data warehousing techniques might suffice - and being the cynical dinosaur that I am, I have a healthy reluctance about welding new technology onto a stable environment. To speed up reporting (and note that these techniques are often applied even when implementing NoSQL solutions, too) it is usually a good first step to set up a process of data summarization. Basically, you pre-calculate averages, medians, groupings, whatever you need for your reports; and your job also saves the last record IDs it's processed; then on the next run, you only read the new records and update your summary tables to incorporate the new data. Suppose I have a table like this: ID | Val 1 1 2 7 3 5 413 I want to report the average on a daily basis, and calculating that over those rows is unbearably slow because I'm running the process on a wristwatch from 1860 :-) So I get a summary table, calculate (1+7+5+13)/4 = 6.5 and that then gets a record saying this: Avg | elementCount | lastSeen - 6.5 4 4 Now, over the course of the day, the elements 4, 17 and 2 get added with sequential row numbers. Instead of calculating (1+7+5+13+4+17+2)/7, which would be slow; I can substitute the already summarized data by Avg*elementCount. Thus, I calculate (6.5*4 + 4+17+2)/7 = 7, which is a lot faster, and my summary table now looks like this: Avg | elementCount | lastSeen - 7 7 7 This is of course a stupid example, but it saves you a lot of time if you already have the summary of several thousand elements and only need to update it for a handful. Similar tricks are possible for a lot of typical reporting stuff - you don't need to re-calculate data for past months over and over again, for instance - and that's what makes your reports run fast. Just my 2 cents :-) /johan -- Bier met grenadyn Is als mosterd by den wyn Sy die't drinkt, is eene kwezel Hy die't drinkt, is ras een ezel -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you
RE: NoSQL help
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE ibf ALL ibf_MsgId \N \N \N 160944 1 SIMPLE pl ref idx_unique_key_ib_msg\,index_message_id\,index_message_processing_status idx_unique_key_ib_msg 180 reports.ibf.Message_Id\,const 1 Using where; Using index 1 SIMPLE tl ref idx_unique_key_ib_text\,index_message_id idx_unique_key_ib_text 153 reports.pl.Message_Id 1 1 SIMPLE xl ref idx_unique_key_ib_xml\,index_message_id idx_unique_key_ib_xml 153 reports.pl.Message_Id 1 Using where This is the execution plan for 1.5 milion records.. From: Ananda Kumar [mailto:anan...@gmail.com]mailto:[mailto:anan...@gmail.com] Sent: Thursday, June 14, 2012 3:33 PM To: Manivannan S. Cc: mysql@lists.mysql.commailto:mysql@lists.mysql.com Subject: Re: NoSQL help can u share the sql, explain plan, indexes etc, show full processlist out put when the sql's are running On Thu, Jun 14, 2012 at 3:03 PM, Manivannan S. manivanna...@spanservices.commailto:manivanna...@spanservices.com wrote: I tried with myisam engine also. But it also taking more time to generate the report. In my database I am having 8 innodb tables and at the same time I am joining 4 tables to get the report. I am maintaining 60days records because the user will try to generate the report out of 60 days in terms of second, minute, hourly, weekly and Monthly report also. From: Ananda Kumar [mailto:anan...@gmail.commailto:anan...@gmail.com] Sent: Thursday, June 14, 2012 12:32 AM To: Rick James Cc: Johan De Meersman; Manivannan S.; mysql@lists.mysql.commailto:mysql@lists.mysql.com Subject: Re: NoSQL help Did you try with myisam tables. They are supposed to be good for reporting requirement On Wed, Jun 13, 2012 at 11:52 PM, Rick James rja...@yahoo-inc.commailto:rja...@yahoo-inc.commailto:rja...@yahoo-inc.commailto:rja...@yahoo-inc.com wrote: I'll second Johan's comments. Count the disk hits! One minor change: Don't store averages in the summary table; instead store the SUM(). That lets you get the mathematically correct AVERAGE over any time range via SUM(sum_foo) / SUM(count_foo) Switching between MySQL and Mongo requires rewriting _all_ of the relevant code. opinion NoSQL will be no better than MySQL for 150GB. /opinion Count the disk hits! I recently built a system that topped out at 350GB (90 days' data). It involved hourly ingestion of a few GB of data and a variety of reports. The prototype showed that most reports would take about an hour to run. Not good. The final product, with summary tables, lets the reports be run on-demand and online and each takes only a few seconds. By careful use of MEMORY tables, LOAD DATA, etc, the ingestion takes 5 minutes (each hour) for the raw data and 2 minutes (total) for the 7 summary tables. PARTITIONing was vital for the design. Once an hour a new partition is populated; once a day, 24 hourly partitions are rolled into a new daily partition and the 90-day old partition is DROPped. -Original Message- From: Johan De Meersman [mailto:vegiv...@tuxera.bemailto:vegiv...@tuxera.bemailto:vegiv...@tuxera.bemailto:vegiv...@tuxera.be] Sent: Wednesday, June 13, 2012 6:20 AM To: Manivannan S. Cc: mysql@lists.mysql.commailto:mysql@lists.mysql.commailto:mysql@lists.mysql.commailto:mysql@lists.mysql.com Subject: Re: NoSQL help - Original Message - From: Manivannan S. manivanna...@spanservices.commailto:manivanna...@spanservices.commailto:manivanna...@spanservices.commailto:manivanna...@spanservices.com Hi all, [lots of data] [slow reports] [wooo NoSQL magic] Not that I want to discourage you, but my standard first question is why do you think NoSQL (let alone any specific product) is the right solution? :-) Don't get me wrong, it might be; but from what little I now know about your environment, it sounds like applying some data warehousing techniques might suffice - and being the cynical dinosaur that I am, I have a healthy reluctance about welding new technology onto a stable environment. To speed up reporting (and note that these techniques are often applied even when implementing NoSQL solutions, too) it is usually a good first step to set up a process of data summarization. Basically, you pre-calculate averages, medians, groupings, whatever you need for your reports; and your job also saves the last record IDs it's processed; then on the next run, you only read the new records and update your summary tables to incorporate the new data. Suppose I have a table like this: ID | Val 1 1 2 7 3 5 413 I want to report the average on a daily basis, and calculating that over those rows is unbearably slow because I'm running the process on a wristwatch from 1860 :-) So I get a summary table, calculate (1+7+5+13)/4 = 6.5 and that then gets a record saying this: Avg | elementCount | lastSeen
RE: NoSQL help
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE ibf ALL ibf_MsgId \N \N \N 160944 1 SIMPLE pl ref idx_unique_key_ib_msg\,index_message_id\,index_message_processing_status idx_unique_key_ib_msg 180 reports.ibf.Message_Id\,const 1 Using where; Using index 1 SIMPLE tl ref idx_unique_key_ib_text\,index_message_id idx_unique_key_ib_text 153 reports.pl.Message_Id 1 1 SIMPLE xl ref idx_unique_key_ib_xml\,index_message_id idx_unique_key_ib_xml 153 reports.pl.Message_Id 1 Using where Sorry for the previous mail. this is my execution plan for 1.5 million records From: Ananda Kumar [mailto:anan...@gmail.com] Sent: Thursday, June 14, 2012 3:33 PM To: Manivannan S. Cc: mysql@lists.mysql.com Subject: Re: NoSQL help can u share the sql, explain plan, indexes etc, show full processlist out put when the sql's are running On Thu, Jun 14, 2012 at 3:03 PM, Manivannan S. manivanna...@spanservices.commailto:manivanna...@spanservices.com wrote: I tried with myisam engine also. But it also taking more time to generate the report. In my database I am having 8 innodb tables and at the same time I am joining 4 tables to get the report. I am maintaining 60days records because the user will try to generate the report out of 60 days in terms of second, minute, hourly, weekly and Monthly report also. From: Ananda Kumar [mailto:anan...@gmail.commailto:anan...@gmail.com] Sent: Thursday, June 14, 2012 12:32 AM To: Rick James Cc: Johan De Meersman; Manivannan S.; mysql@lists.mysql.commailto:mysql@lists.mysql.com Subject: Re: NoSQL help Did you try with myisam tables. They are supposed to be good for reporting requirement On Wed, Jun 13, 2012 at 11:52 PM, Rick James rja...@yahoo-inc.commailto:rja...@yahoo-inc.commailto:rja...@yahoo-inc.commailto:rja...@yahoo-inc.com wrote: I'll second Johan's comments. Count the disk hits! One minor change: Don't store averages in the summary table; instead store the SUM(). That lets you get the mathematically correct AVERAGE over any time range via SUM(sum_foo) / SUM(count_foo) Switching between MySQL and Mongo requires rewriting _all_ of the relevant code. opinion NoSQL will be no better than MySQL for 150GB. /opinion Count the disk hits! I recently built a system that topped out at 350GB (90 days' data). It involved hourly ingestion of a few GB of data and a variety of reports. The prototype showed that most reports would take about an hour to run. Not good. The final product, with summary tables, lets the reports be run on-demand and online and each takes only a few seconds. By careful use of MEMORY tables, LOAD DATA, etc, the ingestion takes 5 minutes (each hour) for the raw data and 2 minutes (total) for the 7 summary tables. PARTITIONing was vital for the design. Once an hour a new partition is populated; once a day, 24 hourly partitions are rolled into a new daily partition and the 90-day old partition is DROPped. -Original Message- From: Johan De Meersman [mailto:vegiv...@tuxera.bemailto:vegiv...@tuxera.bemailto:vegiv...@tuxera.bemailto:vegiv...@tuxera.be] Sent: Wednesday, June 13, 2012 6:20 AM To: Manivannan S. Cc: mysql@lists.mysql.commailto:mysql@lists.mysql.commailto:mysql@lists.mysql.commailto:mysql@lists.mysql.com Subject: Re: NoSQL help - Original Message - From: Manivannan S. manivanna...@spanservices.commailto:manivanna...@spanservices.commailto:manivanna...@spanservices.commailto:manivanna...@spanservices.com Hi all, [lots of data] [slow reports] [wooo NoSQL magic] Not that I want to discourage you, but my standard first question is why do you think NoSQL (let alone any specific product) is the right solution? :-) Don't get me wrong, it might be; but from what little I now know about your environment, it sounds like applying some data warehousing techniques might suffice - and being the cynical dinosaur that I am, I have a healthy reluctance about welding new technology onto a stable environment. To speed up reporting (and note that these techniques are often applied even when implementing NoSQL solutions, too) it is usually a good first step to set up a process of data summarization. Basically, you pre-calculate averages, medians, groupings, whatever you need for your reports; and your job also saves the last record IDs it's processed; then on the next run, you only read the new records and update your summary tables to incorporate the new data. Suppose I have a table like this: ID | Val 1 1 2 7 3 5 413 I want to report the average on a daily basis, and calculating that over those rows is unbearably slow because I'm running the process on a wristwatch from 1860 :-) So I get a summary table, calculate (1+7+5+13)/4 = 6.5 and that then gets a record saying this: Avg | elementCount | lastSeen - 6.5 4 4
NoSQL help
Hi all, I am using MySQL 5.1, in this I am inserting 5GB of data for two days into my database. I am trying to generate a report by processing these data which are available in my database. Our clients are planning to keep the records for 60 days then that will cross 150GB of data. To generate a report I have to use all this accumulated of 150 GB data. I have done all kind of optimizations in my procedure and I have tuned up my MySQL server parameters also. But using MySQL getting the reports for this amount of data, within the short time is not possible. I have seen the concept of NoSQL and I am planning to implement this NoSQL concept into my database. Does anyone have any idea in NoSQL especially MongoDB technology and how to use this ? Thanks in advance. Regards, Manivannan S DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email or to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official business of SPAN, shall be understood to be neither given nor endorsed by SPAN.
Reducing ibdata1 file size
Hi , I am trying to reduce the ibdata1 data file in MySQL. In MySQL data directory the ibdata1 data file is always increasing whenever I am creating a new database and inserting some data into database. If I drop the existing database, the table structures only dropped from the server but data still exist in the ibdata1 data file. How to reduce the ibdata1 file size in both LINUX and WINDOWS machine. Do you have any idea how to solve this problem. Thanks for any feedback. Thanks Manivannan S DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email or to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official business of SPAN, shall be understood to be neither given nor endorsed by SPAN.
RE: Error in starting MySQL service on LINUX
Hi, If I execute service myqsld start its saying mysqld: unrecognized service -Original Message- From: Reindl Harald [mailto:h.rei...@thelounge.net] Sent: Thursday, April 05, 2012 4:05 PM To: mysql@lists.mysql.com Subject: Re: Error in starting MySQL service on LINUX Am 05.04.2012 12:27, schrieb Manivannan S.: Hi, In 64-bit Linux(Centos/Red Hat) machine when I am trying to start the MySQL service by using service mysql start command , I am getting the following error I have installed MySQL-client-5.1.52-1.glibc23.x86_64.rpm MySQL-server-5.1.52-1.glibc23.x86_64.rpm In my Linux machine why do you not use yum install mysql-server and the packages of your distribution instead install random binaries service myqsld start is using the init-scripts of the distribution DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email or to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official business of SPAN, shall be understood to be neither given nor endorsed by SPAN. -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql
Error in starting MySQL service on LINUX
Hi, In 64-bit Linux(Centos/Red Hat) machine when I am trying to start the MySQL service by using service mysql start command , I am getting the following error Ø Starting MySQL.Manager of pid-file quit without updating file [FAILED] If I try to stop the MySQL service I am getting this error Ø MySQL manager or server PID file could not be found! [FAILED] When I try to start MySQL service from /etc/init.d/mysql start Ø ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/var/lib/mysql/mysql.sock' (111) I have installed MySQL-client-5.1.52-1.glibc23.x86_64.rpm MySQL-server-5.1.52-1.glibc23.x86_64.rpm In my Linux machine. Does anyone know how to solve this issue in MySQL? Thanks Manivannan S DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email or to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official business of SPAN, shall be understood to be neither given nor endorsed by SPAN.
RE: Error in starting MySQL service on LINUX
I am not using random binaries. I am using rpm packages only which are already tested and preconfigured. By installing rpm package also I am facing the same issue. -Original Message- From: Reindl Harald [mailto:h.rei...@thelounge.net] Sent: Thursday, April 05, 2012 4:12 PM Cc: mysql@lists.mysql.com Subject: Re: Error in starting MySQL service on LINUX boah do not top-post! this was a typo - seems you did not understand my question WHY are you downloading random binaries instead using packages from your linux distribution which are tested and preconfigured? Am 05.04.2012 12:39, schrieb Manivannan S.: Hi, If I execute service myqsld start its saying mysqld: unrecognized service DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email or to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official business of SPAN, shall be understood to be neither given nor endorsed by SPAN. -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql
RE: Error in starting MySQL service on LINUX
I am not facing the MySQL server problem during installation. I have installed those two rpm packages in my machine successfully and started working in mysql. I am trying to the change parameter value in my.cnf file to tune up the server for performance improvements. For that I stopped MySQL server and try to restart the MySQL service from that moment onwards I am getting this kind of errors like Starting MySQL.Manager of pid-file quit without updating file [FAILED] MySQL manager or server PID file could not be found! [FAILED] ERROR 2002 (HY000): Can't connect to local MySQL server through socket '/var/lib/mysql/mysql.sock' (111) I can't go with any other installable packages by keeping the same package I have to solve this issue. Please give some ideas to resolve this problem. -Original Message- From: lists-mysql [mailto:replies-lists-b3z1-my...@listmail.innovate.net] Sent: Thursday, April 05, 2012 5:28 PM To: Manivannan S. Subject: RE: Error in starting MySQL service on LINUX Original Message Date: Thursday, April 05, 2012 11:04:48 AM + From: Manivannan S. manivanna...@spanservices.com To: mysql@lists.mysql.com Subject: RE: Error in starting MySQL service on LINUX I am not using random binaries. I am using rpm packages only which are already tested and preconfigured. By installing rpm package also I am facing the same issue. I'm not certain where you got the packages you installed: MySQL-client-5.1.52-1.glibc23.x86_64.rpm MySQL-server-5.1.52-1.glibc23.x86_64.rpm but they are not from the rhel/centos repos. If you install packages from the appropriate repos it will take care of setting up the startup scripts, etc. for your environment. If you install packages/rpm files from some other location you'll need to do the configuration and setup yourself, as is your current situation. I would suggest removing the above and doing a yum install. The current packages in the rhel-6/centos-6 context are: mysql-5.1.61-1.el6_2.1.x86_64 mysql-server-5.1.61-1.el6_2.1.x86_64 If, for some reason, you want to stick with what you've installed then you'll need to work on doing the setup/configuration manually. - Richard DISCLAIMER: This email message and all attachments are confidential and may contain information that is privileged, confidential or exempt from disclosure under applicable law. If you are not the intended recipient, you are notified that any dissemination, distribution or copying of this email is strictly prohibited. If you have received this email in error, please notify us immediately by return email or to mailad...@spanservices.com and destroy the original message. Opinions, conclusions and other information in this message that do not relate to the official business of SPAN, shall be understood to be neither given nor endorsed by SPAN. -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql
