MySQL Connector/Python 2.0.0 Alpha has been released
Dear MySQL users,
MySQL Connector/Python 2.0.0-alpha is the first alpha version of
2.0 release series of the pure Python database driver for MySQL.
It is intended to introduce users to the new features.
This release is not feature complete but it should be stable
enough for users to understand the new features and how we
expect them to work.
As is the case with all non-GA releases, it should not be used
in any production environment.
MySQL Connector/Python version 2.0.0-alpha is compatible with MySQL
Server versions 5.5 and greater. Python 2.6 and greater as well as
Python 3.3 and greater are supported. Python 2.4, 2.5 and 3.1, 3.2
are not supported.
MySQL Connector/Python 2.0.0-alpha is available for download from:
http://dev.mysql.com/downloads/connector/python/#downloads
The ChangeLog file included in the distribution contains a brief summary
of changes in MySQL Connector/Python 2.0.0. For a more complete list of
changes, see below or online at:
http://dev.mysql.com/doc/relnotes/connector-python/en/
=
Changes in MySQL Connector/Python 2.0.0 (2014-07-24, Alpha)
Functionality Added or Changed
* Incompatible Change: Previous series of Connector/Python had
separate Python 2 and Python 3 code bases. For
Connector/Python 2.0, the source tree has been reorganized to
have a single code base, for easier maintenance, testing, and
distribution.
This reorganization results in an incompatible change in
behavior: With the use of "raw" cursors, the returned values
is of the bytearray type. This is necessary for having both
Python 2 and 3 return the same data. Consider the following
example:
import mysql.connector
cnx = mysql.connector.connect(raw=True)
cursor = cnx.cursor()
cursor.execute('SELECT 1')
print(cursor.fetchall())
In Connector/Python 1.x, the output is:
+ Using Python 2: [('1',)]
+ Using Python 3: [(b'1',)]
In Connector/Python 2.0, for both Python versions, the output
is: [(bytearray(b'1'),)]
To get the same value as in Connector/Python 1.x, do this:
+ Using Python 2: str(bytearray(b'1'))
+ Using Python 3: bytes((bytearray(b'1'))
* Important Change: Previously, to enable use of LOAD DATA LOCAL
INFILE, clients had to explicitly set the
ClientFlag.LOCAL_FILES flag. This flag is now enabled by
default. To disable it, the allow_local_infile option for
connect()can be set to False.
* For a stored procedure that produces multiple result sets, it
is now possible possible to execute the procedure and process
its results by executing a CALL statement. Execute the
statement using execute() with a multi=True argument, and use
the returned iterator to process each result in turn. (Bug
#73291, Bug #19207922)
* The packaging modules and supporting files have been removed
from the main repository and from the source packages for
Connector/Python. They are still available in the
Connector/Python 1.x series.
* The mysql.connector.cursor module supports four new cursor
classes:
+ The MySQLCursorDict cursor class returns each row as a
dictionary. The keys for each dictionary object are the
column names of the MySQL result.
cursor = cnx.cursor(dictionary=True)
+ The MySQLCursorBufferedDict cursor class is like
MySQLCursorDict, but fetches the entire result set after
executing the query and buffers the rows.
cursor = cnx.cursor(dictionary=True, buffered=True)
+ The MySQLCursorNamedTuple cursor class returns each row
as a named tuple. Each column is accessible through an
attribute of the tuple-like object.
cursor = cnx.cursor(named_tuple=True)
+ The MySQLCursorBufferedNamedTuple cursor class is like
MySQLCursorNamedTuple, but fetches the entire result set
after executing the query and buffers the rows.
cursor = cnx.cursor(named_tuple=True, buffered=True)
For more information, see cursor.MySQLCursor Subclasses
(http://dev.mysql.com/doc/connector-python/en/connector-python
-api-cursor-subclasses.html).
* Connector/Python now supports option files using two new
options for connect():
+ option_files: Which option files to read. The value can
be a file path name (a string) or a sequence of path name
strings. By default, Connector/Python reads no option
files, so this argument must be given explicitly to cause
option files to be read. Files are read in the order
specified.
+ option_groups: Which groups to read from option files, if
option
RE: Avoiding table scans...
Hi Chris, > -Original Message- > From: Chris Knipe [mailto:sav...@savage.za.org] > Sent: Thursday, 24 July 2014 19:18 > To: mysql@lists.mysql.com > Subject: Avoiding table scans... > > mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM > 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; > +---+--- > +---+ > + > | ArtNumber | MessageID > | > +---+--- > +---+ > + > | 2118807 | > | > | > +---+--- > +---+ > + > 1 row in set (22.78 sec) In addition to being slow, the query is probably not what you want. What the query does is finding the minimum ArtNumber greater than 2118806, then is free to choose any MessageID among those rows matching the WHERE clause. This is also why the query has to examine so many rows. If you look at the query with MAX(ArtNumber) ... ArtNumber < ..., then it is more likely that you'll see an unexpected result. Using your table definition and inserting random rows: mysql > SELECT MAX(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber < 28806; +---+---+ | ArtNumber | MessageID | +---+---+ | 28805 | sutlers | +---+---+ 1 row in set (0.12 sec) mysql> SELECT ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber = 28805; +---++ | ArtNumber | MessageID | +---++ | 28805 | pearl-bordered | +---++ 1 row in set (0.00 sec) So the MessageID returned for your original query is not the one corresponding to the ArtNumber. If you set sql_mode to include ONLY_FULL_GROUP_BY, you can also see that the query is invalid: mysql> SET sql_mode = 'ONLY_FULL_GROUP_BY'; Query OK, 0 rows affected (0.00 sec) mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > 28806; ERROR 1140 (42000): Mixing of GROUP columns (MIN(),MAX(),COUNT(),...) with no GROUP columns is illegal if there is no GROUP BY clause One rewrite is the one suggested by Corrado - first find the ArtNumber, then retrieve the corresponding row. An alternative is to use ORDER BY ArtNumber ASC|DESC LIMIT 1, i.e.: mysql> SELECT ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > 28806 ORDER BY ArtNumber ASC LIMIT 1; +---+-+ | ArtNumber | MessageID | +---+-+ | 28807 | groundworks | +---+-+ 1 row in set (0.00 sec) mysql> SELECT ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber < 28806 ORDER BY ArtNumber DESC LIMIT 1; +---++ | ArtNumber | MessageID | +---++ | 28805 | pearl-bordered | +---++ 1 row in set (0.00 sec) Best regards, Jesper Krogh MySQL Support -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql
Re: Avoiding table scans...
> > > Try this > > SELECT ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE > ArtNumber=(SELECT MIN(ArtNumber) FROM 78168ea0a9b3b513a1f2d39b559b406e > WHERE ArtNumber>2118806) > > +---+---+ | ArtNumber | MessageID | +---+---+ | 2118807 | | +---+---+ 1 row in set (0.81 sec) If this wasn't a public mailing list I would have said something very strange now containing the word love! Can you perhaps just elaborate a bit as to *why* this is working so much better? The reason I ask is that I've only given one query as a example. There's quite a few slightly different queries like this, and I would just like to understand the mythology behind in order to be able to change the other queries as well... MANY thanks for the assistance :-) -- Chris.
Re: Avoiding table scans...
Il 24/07/14 11:57, Chris Knipe ha scritto: > On Thu, Jul 24, 2014 at 11:47 AM, Johan De Meersman > wrote: >> - Original Message - >>> From: "Chris Knipe" >>> To: mysql@lists.mysql.com >>> Sent: Thursday, 24 July, 2014 11:17:50 AM >>> Subject: Avoiding table scans... >>> >>> mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM >>> 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; >> You're putting quotes around ArtNumber in your where clause, where it really >> is a bigint. Thus, you're forcing implicity conversion in the parser, >> instead of simply doing an index lookup. >> > mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM > 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > 2118806; > +---+---+ > | ArtNumber | MessageID | > +---+---+ > | 2118807 | | > +---+---+ > 1 row in set (19.37 sec) > > mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM > 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; > +---+---+ > | ArtNumber | MessageID | > +---+---+ > | 2118807 | | > +---+---+ > 1 row in set (19.43 sec) > > mysql> EXPLAIN SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM > 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > 2118806; > ++-+--+---+---+-+-+--+--+-+ > | id | select_type | table| type | > possible_keys | key | key_len | ref | rows | Extra | > ++-+--+---+---+-+-+--+--+-+ > | 1 | SIMPLE | 78168ea0a9b3b513a1f2d39b559b406e | range | > PRIMARY | PRIMARY | 8 | NULL | 31868953 | Using where | > ++-+--+---+---+-+-+--+--+-+ > 1 row in set (0.18 sec) > > > Partitioning should help from what I am reading currently... Just not > sure about a few things just yet. > > > Try this SELECT ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber=(SELECT MIN(ArtNumber) FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber>2118806) -- INTER CORRADO PANDIANI Web Project Manager / DBA F.C. Internazionale Milano S.p.A. C.so Vittorio Emanuele II, 9 20122 Milano, Italy TEL +39 027715 551 www.inter.it IMPORTANT: The contents of this email and any attachments are confidential. They are intended for the named recipient(s) only. If you have received this email by mistake, please notify the sender immediately and do not disclose the contents to anyone or make copies thereof.
Re: Avoiding table scans...
On Thu, Jul 24, 2014 at 11:47 AM, Johan De Meersman wrote: > - Original Message - >> From: "Chris Knipe" >> To: mysql@lists.mysql.com >> Sent: Thursday, 24 July, 2014 11:17:50 AM >> Subject: Avoiding table scans... >> >> mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM >> 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; > > You're putting quotes around ArtNumber in your where clause, where it really > is a bigint. Thus, you're forcing implicity conversion in the parser, instead > of simply doing an index lookup. > mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > 2118806; +---+---+ | ArtNumber | MessageID | +---+---+ | 2118807 | | +---+---+ 1 row in set (19.37 sec) mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; +---+---+ | ArtNumber | MessageID | +---+---+ | 2118807 | | +---+---+ 1 row in set (19.43 sec) mysql> EXPLAIN SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > 2118806; ++-+--+---+---+-+-+--+--+-+ | id | select_type | table| type | possible_keys | key | key_len | ref | rows | Extra | ++-+--+---+---+-+-+--+--+-+ | 1 | SIMPLE | 78168ea0a9b3b513a1f2d39b559b406e | range | PRIMARY | PRIMARY | 8 | NULL | 31868953 | Using where | ++-+--+---+---+-+-+--+--+-+ 1 row in set (0.18 sec) Partitioning should help from what I am reading currently... Just not sure about a few things just yet. -- Regards, Chris Knipe -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql
Re: Avoiding table scans...
- Original Message - > From: "Chris Knipe" > To: mysql@lists.mysql.com > Sent: Thursday, 24 July, 2014 11:17:50 AM > Subject: Avoiding table scans... > > mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM > 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; You're putting quotes around ArtNumber in your where clause, where it really is a bigint. Thus, you're forcing implicity conversion in the parser, instead of simply doing an index lookup. -- Unhappiness is discouraged and will be corrected with kitten pictures. -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql
Avoiding table scans...
Hi All, I have a couple of *huge* tables, they're still busy populating, but once done I suspect it will hold well over 3 billion records (and that's more than likely the start of the problem). The mysql server is a highly optimized, powerful server with some 128GB ram, data + binlogs on RAID10 SSDs and is performing incredibly well with some 3K inserts/second whilst still doing random selects/updates in between. How can I go about not having the following: mysql> SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; +---+--- + | ArtNumber | MessageID | +---+--- + | 2118807 | | +---+--- + 1 row in set (22.78 sec) mysql> EXPLAIN SELECT MIN(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber > '2118806'; ++-+--+---+- --+-+-+--+--+-+ | id | select_type | table| type | possible_keys | key | key_len | ref | rows | Extra | ++-+--+---+- --+-+-+--+--+-+ | 1 | SIMPLE | 78168ea0a9b3b513a1f2d39b559b406e | range | PRIMARY | PRIMARY | 8 | NULL | 31515172 | Using where | ++-+--+---+- --+-+-+--+--+-+ 1 row in set (0.19 sec) mysql> explain SELECT MAX(ArtNumber) AS ArtNumber, MessageID FROM 78168ea0a9b3b513a1f2d39b559b406e WHERE ArtNumber < '2118809'; ++-+--+---+- --+-+-+--+--+-+ | id | select_type | table| type | possible_keys | key | key_len | ref | rows | Extra | ++-+--+---+- --+-+-+--+--+-+ | 1 | SIMPLE | 78168ea0a9b3b513a1f2d39b559b406e | range | PRIMARY | PRIMARY | 8 | NULL |3 | Using where | ++-+--+---+- --+-+-+--+--+-+ 1 row in set (0.17 sec) mysql> SHOW CREATE TABLE 78168ea0a9b3b513a1f2d39b559b406e; +--+ ---+ | Table| Create Table | +--+ ---+ | 78168ea0a9b3b513a1f2d39b559b406e | CREATE TABLE `78168ea0a9b3b513a1f2d39b559b406e` ( `ArtNumber` bigint(20) unsigned NOT NULL, `MessageID` varchar(255) NOT NULL, `Date` int(10) unsigned NOT NULL, `Bytes` bigint(20) unsigned NOT NULL, `Lines` bigint(20) unsigned NOT NULL, `From` varchar(255) NOT NULL, `Subject` tinytext NOT NULL, PRIMARY KEY (`ArtNumber`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='' | +--+ ---+ 1 row in set (0.70 sec) I realise that this is an enormous amount of data - especially once fully populated and we reach the over 3 billion records in the table. Is the only course of action here to re-look at how the data is stored? I suppose it can't get any better than querying directly against the PRIMARY key, can it? Many thanks, Chris. -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe:http://lists.mysql.com/mysql
