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MySQL Optimizer Team blogs | mysqloptimizerteam.blogspot.com Reviews
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MySQL Optimizer Team blogs. Your source to MySQL optimizer news. Posted by Jørgen Løland. Subscribe to: Posts (Atom). Simple template. Powered by Blogger.
mysqloptimizerteam.blogspot.com
MySQL Optimizer Team blogs
http://www.mysqloptimizerteam.blogspot.com/2012/03/subscribe-to-rss-headline-updates-from.html
MySQL Optimizer Team blogs. Your source to MySQL optimizer news. June 26, 2015 at 11:42 PM. Your blog is adorable. Buy Lorna Vanderhaeghe Estrosmart. Buy Lorna Vanderhaeghe Supplements. Lorna Vanderhaeghe Active Collagen. Lorna vanderhaeghe health products. September 30, 2016 at 8:34 PM. Hello, nice to meet you, very nice blog and very nice post as well. Its really very amazing news. You can read the whole article from our official website here the link Thrive headline optimizer review.
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Jørgen's point of view: Favorite MySQL 5.6 features: an optimizer perspective
http://jorgenloland.blogspot.com/2012/12/favorite-mysql-56-features-optimizer.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Monday, December 17, 2012. Favorite MySQL 5.6 features: an optimizer perspective. There are so many exciting new features in MySQL 5.6 that I almost don't know where to start. To mention a few, MySQL's multi-core scalability. Has been significantly improved to meet modern hardware, InnoDB has better index statistics. Replication has multi-threaded slaves. And global transaction identifiers. New ways to understand query plans:. Once and for all....
Jørgen's point of view: The MySQL range access method explained
http://jorgenloland.blogspot.com/2011/08/mysql-range-access-method-explained.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Tuesday, August 23, 2011. The MySQL range access method explained. The range access method uses an index to read a subset of rows that form one or multiple continuous index value intervals. The intervals are defined by the query's range predicates, which are comparisons using any of =, = , IN(), IS NULL, IS NOT NULL, , , =, =, BETWEEN,! SELECT * FROM blog WHERE author id IN (1, 7, 8, 10). SELECT * FROM orders WHERE value 1000. Read row from table.
Jørgen's point of view: Index Condition Pushdown to the rescue!
http://jorgenloland.blogspot.com/2012/03/index-condition-pushdown-to-rescue.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Monday, March 19, 2012. Index Condition Pushdown to the rescue! A while ago, I explained. How range access in a multiple-part index works and why MySQL can't utilize key parts beyond the first occurrence of some often used comparison operators. Luckily, there is a great improvement underway in MySQL 5.6 that will remedy much of this limitation. Meet Index Condition Pushdown. How does ICP work? That does not allow keypart 2,.,keypart n. With ICP en...
Jørgen's point of view: Gluh on InnoDB extended secondary keys
http://jorgenloland.blogspot.com/2012/12/gluh-on-innodb-extended-secondary-keys.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Thursday, December 20, 2012. Gluh on InnoDB extended secondary keys. Sergey Glukhov (Gluh) recently wrote an interesting blog about InnoDB secondary key improvements in MySQL 5.6. His blog isn't aggregated to planet.mysql.com but certainly deserves some attention. Here it is: InnoDB, extended secondary keys. Subscribe to: Post Comments (Atom). MySQL Optimizer Team Blogs. Gluh on InnoDB extended secondary keys. Former MySQL Optimizer developer.
Jørgen's point of view: September 2013
http://jorgenloland.blogspot.com/2013_09_01_archive.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Friday, September 13, 2013. Next MySQL mini-seminar in Trondheim October 17. We have the pleasure to announce that the next MySQL mini-seminar in Trondheim will be held on October 17 15:00-18:00. This time, MySQL Monitoring and performance schema evangelist Mark Leith will visit us. The agenda will be similar to last mini-seminar:. Presentation: MySQL monitoring and performance Schema,. Suggestions for presentations on future seminars.
Jørgen's point of view: FAQ: InnoDB extended secondary keys
http://jorgenloland.blogspot.com/2013/10/faq-innodb-extended-secondary-indexes.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Monday, October 21, 2013. FAQ: InnoDB extended secondary keys. MySQL 5.6 introduced a new feature called extended secondary keys. We get a lot of questions about it and find that most of them come from a few incorrect assumption. In this post I'll try to get rid of the confusion once and for all. Famous last words. here goes:. Q1: Do I need to do anything to enable extended secondary keys? Q2: Does extended secondary keys only work with InnoDB?
Jørgen's point of view: Copying unused bytes is bad (duh!)
http://jorgenloland.blogspot.com/2012/04/copying-unused-bytes-is-bad-duh.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Wednesday, April 18, 2012. Copying unused bytes is bad (duh! Last summer my colleague Marko Mäkelä committed this seemingly innocent performance fix for InnoDB in MySQL 5.6:. 3581 Marko Makela 2011-08-10. Bug#12835650 VARCHAR maximum length performance impact. Row sel field store in mysql format(): Do not pad the unused part of. The buffer reserved for a True VARCHAR column (introduced in 5.0.3). Oh my were we up for a ride! The MySQL server used ...
Jørgen's point of view: On queries with many values in the IN clause
http://jorgenloland.blogspot.com/2012/04/on-queries-with-many-values-in-in.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Tuesday, April 10, 2012. On queries with many values in the IN clause. This is what the help text has to tell about the variable:. The optimizer will use existing index statistics instead of doing index dives for equality ranges if the number of equality ranges for the index is larger than or equal to [the value of variable]. If set to 0, index dives are always used. Equality range" means predicates using operators IN() or =. Mysql SELECT * FROM m...
Jørgen's point of view: DBT-3 Q3: 6 x performance in MySQL 5.6.10
http://jorgenloland.blogspot.com/2013/02/dbt-3-q3-6-x-performance-in-mysql-5610.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Wednesday, February 13, 2013. DBT-3 Q3: 6 x performance in MySQL 5.6.10. However, some access methods can only be considered after the join order has been decided and therefore gets special treatment in the MySQL optimizer. For join conditions, e.g. "WHERE table1.col1 = table2.col2". The following database schema will be used:. Order id INT PRIMARY KEY,. Cust id INT,. INDEX cid (cust id). ENGINE = InnoDB;. Cust id INT PRIMARY KEY,. ENGINE = InnoDB;.
Jørgen's point of view: October 2013
http://jorgenloland.blogspot.com/2013_10_01_archive.html
Jørgen's point of view. Mostly about the MySQL Optimizer. Monday, October 21, 2013. FAQ: InnoDB extended secondary keys. MySQL 5.6 introduced a new feature called extended secondary keys. We get a lot of questions about it and find that most of them come from a few incorrect assumption. In this post Ill try to get rid of the confusion once and for all. Famous last words. here goes:. Q1: Do I need to do anything to enable extended secondary keys? Q2: Does extended secondary keys only work with InnoDB?
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Database Administration
Database backups, replication, installation, performance tuning, High Availability. Thursday, 19 May 2016. Want to delete hierarchical data in MySQL. Another way to delete hierarchical data is to first identify all child tables (at all N levels deep), this could be difficult if you are dealing with a big schema (with 100s of tables) and then start delete operation in reverse order i.e. delete data from child table first. Http:/ dev.mysql.com/doc/refman/5.7/en/key-column-usage-table.html. Rows vs 1 rows.
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MySQL Optimizer Team blogs
MySQL Optimizer Team blogs. Your source to MySQL optimizer news. Posted by Jørgen Løland. Subscribe to: Posts (Atom). Simple template. Powered by Blogger.
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192168.12.66 hadoop1. 192168.12.67 hadoop2. 192168.12.69 hadoop3. Http:/ shiyanjun.cn/archives/934.html. Cd /usr/local/ & wget http:/ mirrors.hust.edu.cn/apache/kafka/0.8.2.1/kafka 2.11-0.8.2.1.tgz. Tar xvzf kafka 2.11-0.8.2.1.tgz & mv kafka 2.11-0.8.2.1 kafka & chown -R kafka:kafka /usr/local/kafka. Zookeeper.connect=hadoop1:2181,hadoop2:2181,hadoop3:2181/kafka. Sh /usr/local/zookeeper-3.4.6/bin/zkCli.sh. Zk: localhost:2181(CONNECTED) 0] create /kafka ”. Zk: localhost:2181(CONNECTED) 3] ls /. Topic: my-...
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My SQL Perception
Monday, October 05, 2009. Automating SQL Tasks with VBScript (SQL DMO). Needless to mention, we come across instances when we want to automate certain SQL Tasks. We might be in need of the automation because we might want to accomplish some repeated work, or there is a requirement as part of the project. 1 Connect to SQL Server. SServer = ".". Set oSQLServer = CreateObject("SQLDMO.SQLServer"). OSQLServer.LoginSecure = True. 2 Back up Database. SServer = ".". RootDir = "D: Backup ". SServer = ".". Set Wsh...
My SQL Perception | All I know about Microsoft SQL Server!
All I know about Microsoft SQL Server! Run stored procedure from Execute SQL Task, Output result to Excel. July 30, 2010. Open the SQL Server Business Intelligence Development Studio and create a new project. In the Control Flow tab, drag a Data Flow Task. Double click it to go to Data Flow tab. In the Data Flow tab, drag an OLE DB Source Task. Double click the OLE DB Source and provide connection in the Connection Manager. Check the Column Mappings in the mappings section. Click OK. When the package is ...
PAT: A Performance Analysis Tool for MySQL Storage Engine PBXT
PAT: A Performance Analysis Tool for MySQL Storage Engine PBXT. Sunday, August 12, 2007. More explanation on print stacktrace. If defined( i386 ) defined( x86 64 ). Uchar* new fp = (uchar* )*fp;. Fprintf(stderr, "%p n", frame count = sigreturn frame count? Fp SIGRETURN FRAME OFFSET) : *(fp 1) ;. Endif /* defined( 386 ) defined( x86 64 ) */. Fp = new fp;. As suggested by Paul,. If it is a signal frame, its frame OFFSET is different. It is defined by SIGRETURN FRAME OFFSET. New fp = *fp;. Take i386 for exa...
