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Planet MySQL

Planet MySQL - http://www.planetmysql.org/

Bug.mysql.com and Contributions!
Oracle enhanced the bugs.mysql.com site to provide a better experience for users to submit contributions !A new 'Contributions' tab has been added to the bugs.mysql.com user interface. This tab will allow users to have a defined space for their contributions. An Oracle Contributor Agreement (OCA) will still be required for all contributions. If needed, the OCA FAQ is posted here. Please take advantage of this new feature when you help support and enhance MySQL !
MySQL Handshake and Encryption
Interestingly, I have given the presentation on MySQL and Security at least 4 times in the past 6 weeks* and it was only last night, with the sharp minds at Baron’s Central Virginia MySQL Meetup Group (sadly Baron was not there!), that someone asked about when encryption happens in the MySQL handshake. We had been talking about how MySQL authenticates users, and how if there are no ACL’s set for a given host, MySQL will reject connections from that host – even “telnet host 3306″ will be refused – and that’s when a clever audience member asked where in the handshake process encryption started. Is it before the username is sent? Before the password is sent? Does it encrypt all traffic, even the handshake traffic? I think that’s an excellent question, and I know there’s a few sharp minds out there who probably know the answer….otherwise I will research the answer this weekend, when I’m back home in Boston. * Effective MySQL User Group, as part of a tutorial for Percona Live: MySQL Conference and Expo , at the Professional IT Community Conference last week, and last night at the Central Virginia MySQL Meetup Group
Meet the MySQL Experts Podcast: MySQL Replication Global Transaction Identifiers & HA Utilities
In the latest episode of our “Meet The MySQL Experts” podcast, Luis Soares, Engineering Manager of MySQL Replication discusses the new Global Transaction Identifiers (GTIDs) that are part of the latest MySQL 5.6 Development Release. We are also joined by Chuck Bell who discusses how the new MySQL HA utilities use GTIDs to create a self-healing replication topology. In the podcast, we cover how GTIDs and the HA utilities are implemented, how they are configured and considerations for their use. You can also learn more from Luis’ blog on GTIDs in MySQL 5.6 and Chuck’s blog on the HA utilities. Of course, GTIDs are just one of the major new features of MySQL replication. For a complete overview, take a look at our DevZone article: MySQL 5.6 Replication - Enabling the Next Generation of Web & Cloud Services. You can try out MySQL 5.6 and GTIDs by downloading the Development Release (select Development Release tab) Enjoy the GTID podcast and let us know what topics you would like covered in future podcasts! Also check out the library of Meet the MySQL Experts podcasts
Can MySQL use primary key values from a secondary index?
In the article about the role of a primary key, I mentioned that a secondary index in an InnoDB table consists not only of the values of its member columns, but also values of the table’s primary key are concatenated to the index. I.e. the primary key contents is part of every other index. Assuming the following table structure: CREATE TABLE `bets` ( `id` int(10) unsigned NOT NULL, `user_id` int(10) unsigned NOT NULL, `game_id` int(10) unsigned NOT NULL, ... PRIMARY KEY (`id`), KEY `user_id` (`user_id`) ) ENGINE=InnoDB Here is the visualization: If MySQL could use in queries these implicitly added values, it would maybe allow to save some space on listing the primary key columns at the end of an index explicitly. Let’s check various cases. Row filtering mysql> EXPLAIN -> SELECT * -> FROM bets -> JOIN games -> ON games.id = bets.id -> WHERE bets.user_id = 111 -> AND bets.id > 3476\G *************************** 1. row *************************** id: 1 select_type: SIMPLE table: bets type: ref possible_keys: user_id key: user_id key_len: 4 ref: const rows: 22 Extra: Using where *************************** 2. row *************************** id: 1 select_type: SIMPLE table: games type: eq_ref possible_keys: PRIMARY key: PRIMARY key_len: 4 ref: game.bets.id rows: 1 Extra: Both key_len and ref fields indicate that only one four bytes long column is used from the user_id index. MySQL cannot use the primary key values in a secondary index for filtering in WHERE clause. Sorting with ORDER BY mysql> EXPLAIN -> SELECT * -> FROM bets -> JOIN games -> ON games.id = bets.game_id -> WHERE bets.user_id = 111 -> ORDER BY bets.id DESC\G *************************** 1. row *************************** id: 1 select_type: SIMPLE table: bets type: ref possible_keys: user_id key: user_id key_len: 4 ref: const rows: 22 Extra: Using where *************************** 2. row *************************** id: 1 select_type: SIMPLE table: games type: eq_ref possible_keys: PRIMARY key: PRIMARY key_len: 4 ref: game.bets.game_id rows: 1 Extra: Extra only returns Using where, but there is no Using filesort. It means ORDER BY will be optimized using the hidden primary key data from the secondary index. Aggregating with GROUP BY mysql> EXPLAIN -> SELECT * -> FROM bets -> JOIN games -> ON games.id = bets.game_id -> WHERE bets.user_id = 111 -> GROUP BY bets.id\G *************************** 1. row *************************** id: 1 select_type: SIMPLE table: bets type: ref possible_keys: user_id key: user_id key_len: 4 ref: const rows: 22 Extra: Using where *************************** 2. row *************************** id: 1 select_type: SIMPLE table: games type: eq_ref possible_keys: PRIMARY key: PRIMARY key_len: 4 ref: game.bets.game_id rows: 1 Extra: Also in this case Extra neither shows Using filesort nor Using temporary, which would indicate no index is used for grouping. Therefore MySQL can optimize GROUP BY on the concatenated primary key values. Covering index mysql> EXPLAIN -> SELECT bets.id -> FROM bets -> WHERE bets.user_id = 111\G *************************** 1. row *************************** id: 1 select_type: SIMPLE table: bets type: ref possible_keys: user_id key: user_id key_len: 4 ref: const rows: 22 Extra: Using index The query execution plan confirms through Using index that it will only need index contents to return result. MySQL can read and return the hidden primary key values to avoid the additional data lookup. Summary In InnoDB tables each entry of a secondary index always contains the copy of the corresponding primary key row. These values may in some cases be used to the benefit of query execution plan: for ORDER BY on the primary key column(s) for GROUP BY on the primary key column(s) when returning the primary key column(s) values in the SELECT list MySQL cannot use them, however, to optimize filtering in WHERE.
Joins: inner, outer, left, right
In (My)SQL, join is a means for combining records from two tables into a single set which can be either returned as is or used in another join. In order to perform the operation a join has to define the relationship between records in either table, as well as the way it will evaluate the relationship. The relationship itself is created through a set of conditions that are part of the join and usually are put inside ON clause. The rest is determined through a join type, which can either be an inner join or an outer join. The SQL clauses that set the respective join type in a query are [INNER] JOIN and {LEFT | RIGHT} [OUTER] JOIN. As you can see the actual keywords INNER and OUTER are optional and can be omitted, however outer joins require specifying the direction – either left or right (more on that later). Examples of queries using joins: SELECT * FROM users JOIN files ON files.owner_id = users.id WHERE users.id = 1; SELECT * FROM users LEFT JOIN files ON files.owner_id = users.id WHERE users.id = 1; Inner join, outer join The primary difference between the two basic types (each has several subtypes) is in making the decision whether joining of two rows was successful or not, which essentially determines whether the combined row can be returned or not. Inner joins require that a row from the first table has a match in the second table based on the join conditions. In means that the first query from the example above will only return any rows if files table contains at least one record where owner_id is 1 (has to be equal to users.id by the join conditions and users.id is filtered in WHERE to accept only that one value). Otherwise it will return no rows at all, even if users contains a valid user record. Assuming there are two users, but only one has any files: mysql> SELECT * FROM users JOIN files ON files.owner_id = users.id WHERE users.id = 1; +----+--------------+---------+----+----------+------------------+ | id | name | enabled | id | owner_id | filename | +----+--------------+---------+----+----------+------------------+ | 1 | Albin Kolano | 1 | 1 | 1 | audit report.doc | +----+--------------+---------+----+----------+------------------+ 1 row in set (0.00 sec) mysql> SELECT * FROM users JOIN files ON files.owner_id = users.id WHERE users.id = 2; Empty set (0.01 sec) Outer joins, on the other hand, consider a join successful even if no records from the second table meet the join conditions (i.e. whether there are any matches or not). In such case outer join sets all values in the missing columns to NULL. The second query from the example will return rows whenever there are matches in users and regardless of the contents of files table. mysql> SELECT * FROM users LEFT JOIN files ON files.owner_id = users.id WHERE users.id = 1; +----+--------------+---------+------+----------+------------------+ | id | name | enabled | id | owner_id | filename | +----+--------------+---------+------+----------+------------------+ | 1 | Albin Kolano | 1 | 1 | 1 | audit report.doc | +----+--------------+---------+------+----------+------------------+ 1 row in set (0.00 sec) mysql> SELECT * FROM users LEFT JOIN files ON files.owner_id = users.id WHERE users.id = 2; +----+-------------------+---------+------+----------+----------+ | id | name | enabled | id | owner_id | filename | +----+-------------------+---------+------+----------+----------+ | 2 | Nadzieja Surowiec | 1 | NULL | NULL | NULL | +----+-------------------+---------+------+----------+----------+ 1 row in set (0.00 sec) Left join, right join Unlike inner joins, outer joins require that the join direction is specified. Inner join is a symmetrical and bi-directional relationship, which means A JOIN B produces the same result as B JOIN A. That is not true for outer joins, because they accept when for a record in A there is no matching record in B and in such case the reverse operation is impossible as it would have to start with the non-existing record in B. This is the reason why setting the direction is necessary. A LEFT JOIN B finds matches for rows from table A in table B, while A RIGHT JOIN B finds matches for records from B in A. In practice there is very little or even no real purpose for using RIGHT JOIN and in majority of cases everyone just sticks to using LEFT JOIN whenever they need outer join. When does the join type matter? Choosing the appropriate type depends on the logic you are trying to implement. You have to use inner join when mandatory pieces of information are located in both tables and partial information is considered incomplete or even useless. The case of this could be listing user’s files based on the earlier example: mysql> SELECT * -> FROM users -> JOIN files -> ON files.owner_id = users.id -> WHERE users.name = 'Nadzieja Surowiec' -> AND users.enabled = 1; Empty set (0.00 sec) The query finds the user’s record in users table and verifies that they are allowed to use the service through the value of users.enabled column and then searches for their files in files table. If there are no matches in either table, the query does not return any result, which is the correct behavior. If outer join was used in this case, a useless partial result could be returned or even incorrect result: mysql> SELECT * -> FROM users -> LEFT JOIN files -> ON files.owner_id = users.id -> WHERE users.name = 'Nadzieja Surowiec' -> AND users.enabled = 1; +----+-------------------+---------+------+----------+----------+ | id | name | enabled | id | owner_id | filename | +----+-------------------+---------+------+----------+----------+ | 2 | Nadzieja Surowiec | 1 | NULL | NULL | NULL | +----+-------------------+---------+------+----------+----------+ 1 row in set (0.00 sec) mysql> SELECT COUNT(1) -> FROM users -> LEFT JOIN files -> ON files.owner_id = users.id -> WHERE users.name = 'Nadzieja Surowiec' -> AND users.enabled = 1; +----------+ | COUNT(1) | +----------+ | 1 | +----------+ 1 row in set (0.00 sec) The application relying on such queries not only would not be able to make anything out of such file information where file data is all set to NULL values, but also it would have to include additional and in fact redundant logic to filter out such results. The row count in this case is correct, as the query returned a single row, but it does not represent how many files the user has, so it is not a valid information that the application could use. Outer join must be used to perform a join with a table, which holds information that is only optional for the result. In our example we are working with a query that lists user’s files and we already established that the join between users and files has to be inner join. But let’s give our users the opportunity to choose a custom icon for any file if they want to. The information could be kept in a separate table called file_icon. Now, for each listed file we also want to see if user has set a custom icon for that file and return the icon name if they have set it. The icon information is entirely optional, so we want the query to return rows regardless of whether there is an entry for the given file in file_icon or not. Therefore we have to use outer join for this particular task. mysql> SELECT * -> FROM users -> JOIN files -> ON files.owner_id = users.id -> LEFT JOIN file_icon -> ON file_icon.file_id = files.id -> WHERE users.name = 'Albin Kolano' -> AND users.enabled = 1; +----+--------------+---------+----+----------+------------------+---------+------------------+ | id | name | enabled | id | owner_id | filename | file_id | icon_image | +----+--------------+---------+----+----------+------------------+---------+------------------+ | 1 | Albin Kolano | 1 | 1 | 1 | audit report.doc | 1 | MS-Word-Icon.png | | 1 | Albin Kolano | 1 | 2 | 1 | stats-201104.xls | NULL | NULL | +----+--------------+---------+----+----------+------------------+---------+------------------+ The outer join allowed us to grab the complete list of user’s files and along with their icons if any were set. If we used inner join instead, the result would be missing the record of stats-201104.xls file. To Be Continued More on dealing with practical problems when designing join queries will be covered in a separate post.

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