I have the following table structure with live data in it:
CREATE TABLE IF NOT EXISTS `userstatistics` (
`user_id` int(10) unsigned NOT NULL,
`number_logons` int(7) unsigned NOT NULL DEFAULT '0',
`number_profileminiviews` int(7) unsigned NOT NULL DEFAULT '0',
`number_profilefullviews` int(7) unsigned NOT NULL DEFAULT '0',
`number_mailsreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_interestreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_favouratesreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_friendshiprequestreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_imchatrequestreceived` int(7) unsigned NOT NULL DEFAULT '0',
`yearweek` int(6) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`user_id`,`yearweek`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
I want to convert this to a partitioned table with the following structure:
CREATE TABLE IF NOT EXISTS `userstatistics` (
`user_id` int(10) unsigned NOT NULL,
`number_logons` int(7) unsigned NOT NULL DEFAULT '0',
`number_profileminiviews` int(7) unsigned NOT NULL DEFAULT '0',
`number_profilefullviews` int(7) unsigned NOT NULL DEFAULT '0',
`number_mailsreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_interestreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_favouratesreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_friendshiprequestreceived` int(7) unsigned NOT NULL DEFAULT '0',
`number_imchatrequestreceived` int(7) unsigned NOT NULL DEFAULT '0',
`yearweek` int(6) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`user_id`,`yearweek`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1
/*!50100 PARTITION BY RANGE (yearweek)
(PARTITION userstats_201108 VALUES LESS THAN (201108) ENGINE = InnoDB,
PARTITION userstats_201109 VALUES LESS THAN (201109) ENGINE = InnoDB,
PARTITION userstats_201110 VALUES LESS THAN (201110) ENGINE = InnoDB,
PARTITION userstats_201111 VALUES LESS THAN (201111) ENGINE = InnoDB,
PARTITION userstats_201112 VALUES LESS THAN (201112) ENGINE = InnoDB,
PARTITION userstats_201113 VALUES LESS THAN (201113) ENGINE = InnoDB,
PARTITION userstats_201114 VALUES LESS THAN (201114) ENGINE = InnoDB,
PARTITION userstats_201115 VALUES LESS THAN (201115) ENGINE = InnoDB,
PARTITION userstats_201116 VALUES LESS THAN (201116) ENGINE = InnoDB,
PARTITION userstats_201117 VALUES LESS THAN (201117) ENGINE = InnoDB,
PARTITION userstats_201118 VALUES LESS THAN (201118) ENGINE = InnoDB,
PARTITION userstats_201119 VALUES LESS THAN (201119) ENGINE = InnoDB,
PARTITION userstats_201120 VALUES LESS THAN (201120) ENGINE = InnoDB,
PARTITION userstats_201121 VALUES LESS THAN (201121) ENGINE = InnoDB,
PARTITION userstats_max VALUES LESS THAN MAXVALUE ENGINE = InnoDB) */;
How can I do this conversion?
Simply changing the first line of the second SQL statement to
ALTER TABLE 'userstatistics' (
Would this do it?
Going from MySQL 5.0 to 5.1.
First, you need to be running MySQL 5.1 or later. MySQL 5.0 does not support partitioning.
Second, please be aware of the difference between single-quotes (which delimit strings and dates) and back-ticks (which delimit table and column identifiers in MySQL). Use the correct type where appropriate. I mention this, because your example uses the wrong type of quotes:
ALTER TABLE 'userstatistics' (
That should be:
ALTER TABLE `userstatistics` (
Finally, yes, you can restructure a table into partitions with ALTER TABLE. Here's an exact copy & paste from a statement I tested on MySQL 5.1.57:
ALTER TABLE userstatistics PARTITION BY RANGE (yearweek) (
PARTITION userstats_201108 VALUES LESS THAN (201108) ENGINE = InnoDB,
PARTITION userstats_201109 VALUES LESS THAN (201109) ENGINE = InnoDB,
PARTITION userstats_201110 VALUES LESS THAN (201110) ENGINE = InnoDB,
PARTITION userstats_201111 VALUES LESS THAN (201111) ENGINE = InnoDB,
PARTITION userstats_201112 VALUES LESS THAN (201112) ENGINE = InnoDB,
PARTITION userstats_201113 VALUES LESS THAN (201113) ENGINE = InnoDB,
PARTITION userstats_201114 VALUES LESS THAN (201114) ENGINE = InnoDB,
PARTITION userstats_201115 VALUES LESS THAN (201115) ENGINE = InnoDB,
PARTITION userstats_201116 VALUES LESS THAN (201116) ENGINE = InnoDB,
PARTITION userstats_201117 VALUES LESS THAN (201117) ENGINE = InnoDB,
PARTITION userstats_201118 VALUES LESS THAN (201118) ENGINE = InnoDB,
PARTITION userstats_201119 VALUES LESS THAN (201119) ENGINE = InnoDB,
PARTITION userstats_201120 VALUES LESS THAN (201120) ENGINE = InnoDB,
PARTITION userstats_201121 VALUES LESS THAN (201121) ENGINE = InnoDB,
PARTITION userstats_max VALUES LESS THAN MAXVALUE ENGINE = InnoDB);
Note that this causes a table restructure, so if you already have a lot of data in this table, it will take a while to run. Exactly how long depends on how much data you have, and your hardware speed, and other factors. Be aware that while the table is being restructured, it is locked and unavailable for reading and writing by other queries.
Look this
http://dev.mysql.com/doc/refman/5.1/en/alter-table.html about the alter table.
Then in particular the alter table.
ADD/DROP/COALESCE/REORGANIZE partition sql provides almost all the functions to manage your partitions.
note that hash can be only used to integer.
ALTER TABLE ... ADD PARTITION creates no temporary table except when used with NDB tables. ADD or DROP operations for RANGE or LIST partitions are immediate operations or nearly so. ADD or COALESCE operations for HASH or KEY partitions copy data between changed partitions; unless LINEAR HASH or LINEAR KEY was used, this is much the same as creating a new table (although the operation is done partition by partition). REORGANIZE operations copy only changed partitions and do not touch unchanged ones.
Related
I am working on a 10 year old web-app (!!!)
& currently running mysql locally, version 5.7.
This is the table I am currently working on:
CREATE TABLE `processes_history` (
`p_id` bigint(20) UNSIGNED NOT NULL DEFAULT '0',
`exec_id` bigint(20) UNSIGNED NOT NULL DEFAULT '0',
`feature` varchar(100) NOT NULL DEFAULT '',
`macro` tinyint(1) UNSIGNED NOT NULL DEFAULT '0',
`ts` date NOT NULL DEFAULT '0000-00-00',
`seen` int(10) UNSIGNED NOT NULL DEFAULT '1',
`seen_time` bigint(20) UNSIGNED NOT NULL DEFAULT '0',
`focus` int(10) UNSIGNED NOT NULL DEFAULT '0',
`focus_time` bigint(20) UNSIGNED NOT NULL DEFAULT '0',
`mouse` int(10) UNSIGNED NOT NULL DEFAULT '0',
`keyboard` int(10) UNSIGNED NOT NULL DEFAULT '0',
`interactive` int(10) UNSIGNED NOT NULL DEFAULT '0',
`interactive_time` bigint(20) UNSIGNED NOT NULL DEFAULT '0',
`last_seen` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=MyISAM DEFAULT CHARSET=utf8
PARTITION BY RANGE (TO_DAYS(`ts`))
(
PARTITION p0 VALUES LESS THAN (736695) ENGINE=MyISAM,
PARTITION p201701 VALUES LESS THAN (736726) ENGINE=MyISAM,
PARTITION p201702 VALUES LESS THAN (736754) ENGINE=MyISAM,
PARTITION p201703 VALUES LESS THAN (736785) ENGINE=MyISAM,
PARTITION p201704 VALUES LESS THAN (736815) ENGINE=MyISAM,
PARTITION p201705 VALUES LESS THAN (736846) ENGINE=MyISAM,
PARTITION p201706 VALUES LESS THAN (736876) ENGINE=MyISAM,
PARTITION p201707 VALUES LESS THAN (736907) ENGINE=MyISAM,
PARTITION p201708 VALUES LESS THAN (736938) ENGINE=MyISAM,
PARTITION p201709 VALUES LESS THAN (736968) ENGINE=MyISAM,
PARTITION p201710 VALUES LESS THAN (736999) ENGINE=MyISAM,
PARTITION p201711 VALUES LESS THAN (737029) ENGINE=MyISAM,
PARTITION p201712 VALUES LESS THAN (737060) ENGINE=MyISAM,
PARTITION p201801 VALUES LESS THAN (737091) ENGINE=MyISAM,
PARTITION pmax VALUES LESS THAN MAXVALUE ENGINE=MyISAM
);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `processes_history`
--
ALTER TABLE `processes_history`
ADD PRIMARY KEY (`p_id`,`exec_id`,`feature`,`ts`),
ADD KEY `ts` (`ts`),
ADD KEY `exec_ts` (`exec_id`,`ts`),
ADD KEY `last_seen` (`last_seen`);
I keep getting an error when adding an index to p_id, exec_id, ts:
ALTER TABLE `dbname`.`processes_history` ADD INDEX `p_id,exec_id,ts` (`p_id`, `exec_id`, `ts`);
Error SQL query:
ALTER TABLE dbname.processes_history ADD INDEX p_id,exec_id,ts
(p_id, exec_id, ts) MySQL said: Documentation
1067 - Invalid default value for 'ts'
Following this post: https://dba.stackexchange.com/questions/192186/on-create-index-invalid-default-value
From what I understood, using 0000-00-00 as a default value breaks the 'date' type, and that's why it's not working.
But I just couldn't understand what is the solution for this situation. Using TIMESTAMP type instead?
Is there a way to solve this problem without breaking the structure (for now at least) unit I finish the whole web-app? Many things are dependent on that table and i reeeealy don't want to do something risky to index it the way I want.
Changing SQL_mode solved the problem:
I compared MySQL 5.7 and 5.6, and it seems like 5.7 has the default restrictions: ONLY_FULL_GROUP_BY, STRICT_TRANS_TABLES, NO_ZERO_IN_DATE, NO_ZERO_DATE, ERROR_FOR_DIVISION_BY_ZERO, NO_AUTO_CREATE_USER, and NO_ENGINE_SUBSTITUTION set (https://dev.mysql.com/doc/refman/5.7/en/sql-mode.html#sqlmode_no_zero_in_date).
And on 5.6: just NO_ENGINE_SUBSTITUTION
(mysql 5.6 manual https://dev.mysql.com/doc/refman/5.6/en/sql-mode.html#sql-mode-setting)
To get my local mysql (5.7) to work in sync with the production version (5.6) I just had to set mysql_mode to NO_ENGINE_SUBSTITUTION
SET GLOBAL sql_mode = 'NO_ENGINE_SUBSTITUTION';
SET SESSION sql_mode = 'NO_ENGINE_SUBSTITUTION';
You can review the post on db-stackexchange with more info.
You need to change to InnoDB -- The next release (8.0) has removed MyISAM.
Somewhere around 5.6, the handling of default for TIMESTAMP changed. Think about what values you have and what values you need.
PARTITIONing rarely improves performance; what query drove you to use it?
Temporarily making the column in question nullable also solves this issue.
I am optimizing a database with almost no knowledge for my bachelor thesis. In no way i want to let you do the work for me, but i have some questions which no one could answer so far.
Table Structure:
data_inc, CREATE TABLE 'data_inc' (
'id' bigint(20) NOT NULL AUTO_INCREMENT,
'id_para' int(10) unsigned NOT NULL DEFAULT '0',
't_s' int(11) unsigned NOT NULL DEFAULT '0',
't_ms' smallint(6) unsigned NOT NULL DEFAULT '0',
't_ns' bigint(20) unsigned NOT NULL DEFAULT '0',
'id_inst' smallint(6) NOT NULL DEFAULT '1',
'value' varchar(255) NOT NULL DEFAULT '',
'isanchor' tinyint(4) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY ('id','t_ns'),
KEY 't_s' ('t_s'),
KEY 't_ns' ('t_ns')
) ENGINE=MyISAM AUTO_INCREMENT=2128295174 DEFAULT CHARSET=latin1
/*
!50100 PARTITION BY RANGE (t_ns)
(PARTITION 19_02_2015_23_59 VALUES LESS THAN (1424386799000000000) ENGINE = MyISAM,
PARTITION 20_02_2015_23_59 VALUES LESS THAN (1424473199000000000) ENGINE = MyISAM,
PARTITION 21_02_2015_23_59 VALUES LESS THAN (1424559599000000000) ENGINE = MyISAM,
PARTITION 22_02_2015_23_59 VALUES LESS THAN (1424645999000000000) ENGINE = MyISAM,
PARTITION 23_02_2015_23_59 VALUES LESS THAN (1424732399000000000) ENGINE = MyISAM,
PARTITION 24_02_2015_23_59 VALUES LESS THAN (1424818799000000000) ENGINE = MyISAM,
PARTITION 25_02_2015_23_59 VALUES LESS THAN (1424905199000000000) ENGINE = MyISAM,
PARTITION 05_03_2015_23_59 VALUES LESS THAN (1425596399000000000) ENGINE = MyISAM,
PARTITION 13_03_2015_23_59 VALUES LESS THAN (1426287599000000000) ENGINE = MyISAM,
PARTITION 14_03_2015_23_59 VALUES LESS THAN (1426373999000000000) ENGINE = MyISAM,
PARTITION 15_03_2015_23_59 VALUES LESS THAN (1426460399000000000) ENGINE = MyISAM,
PARTITION 16_03_2015_23_59 VALUES LESS THAN (1426546799000000000) ENGINE = MyISAM,
PARTITION 17_03_2015_23_59 VALUES LESS THAN (1426633199000000000) ENGINE = MyISAM,
PARTITION 18_03_2015_23_59 VALUES LESS THAN (1426719599000000000) ENGINE = MyISAM)
*/
The system is currently logging up to 4000 Parameters per second into a database (differnet tables, which one is decided in stored procedures). Every 5 minutes, 1 hour and daily different scripts are called to analyse the logging data, during that time data is written to the tables. This results in some heavy loads right now. Is there a chance that switching from MyISAM to InnoDB (or others) that the performance improves?
Thanks for your help!
For logging quickly followed by analysis...
Gather the data into a MyISAM table with no indexes. After 5 min (1.2M rows!):
Analyze it into InnoDB "Summary Table(s)".
DROP TABLE or TRUNCATE TABLE.
The analysis would be put into other table(s). These would have summary information and be much smaller than 1.2M rows.
To get hourly data, summarize the summary table(s). But don't create "hourly" tables; simply fetch and recalculate as needed.
Here are some related discussions: High speed ingestion and Summary Tables.
I was trying to check whether implementing MySQL database partitioning is beneficial for our application or not. I have heard a lot about the benefits of using partitioning for large number of records.
But surprisingly, the response time of the application got reduced by 3 times when doing the load testing after partitioning was implemented. Could someone please help with the reason why this may happen?
Let me explain in detail:
Below is the DDL of the table when partitioning was ‘not’ in place.
CREATE TABLE `myTable` (
`column1` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`column2` char(3) NOT NULL,
`column3` char(3) NOT NULL,
`column4` char(2) NOT NULL,
`column5` smallint(4) unsigned NOT NULL,
`column6` date NOT NULL,
`column7` varchar(2) NOT NULL,
`column8` tinyint(3) unsigned NOT NULL COMMENT 'Seat Count Ranges from 0-9.',
`column9` varchar(2) NOT NULL,
`column10` varchar(4) NOT NULL,
`column11` char(2) NOT NULL,
`column12` datetime NOT NULL,
`column13` datetime DEFAULT NULL,
PRIMARY KEY (`column1`),
KEY `index1` (`column2`,`column3`,`column4`,`column5`,`column7`,`column6`),
KEY `index2` (`column2`,`column3`,`column6`,`column4`)
) ENGINE=InnoDB AUTO_INCREMENT=342024674 DEFAULT CHARSET=latin1;
And below is the DDL of the same table after implementing ‘Range’ partitioning based on a date field.
CREATE TABLE `myTable` (
`column1` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`column2` char(3) NOT NULL,
`column3` char(3) NOT NULL,
`column4` char(2) NOT NULL,
`column5` smallint(4) unsigned NOT NULL,
`column6` date NOT NULL,
`column7` varchar(2) NOT NULL,
`column8` tinyint(3) unsigned NOT NULL COMMENT 'Seat Count Ranges from 0-9.',
`column9` varchar(2) NOT NULL,
`column10` varchar(4) NOT NULL,
`column11` char(2) NOT NULL,
`column12` datetime NOT NULL,
`column13` datetime DEFAULT NULL,
PRIMARY KEY (`column1`,`column6`),
KEY `index1` (`column2`,`column3`,`column4`,`column5`,`column7`,`column6`),
KEY `index2` (`column2`,`column3`,`column6`,`column4`)
) ENGINE=InnoDB AUTO_INCREMENT=342024674 DEFAULT CHARSET=latin1
PARTITION BY RANGE COLUMNS(`column6`)
(PARTITION date_jul_11 VALUES LESS THAN ('2011-08-01') ENGINE = InnoDB,
PARTITION date_aug_11 VALUES LESS THAN ('2011-09-01') ENGINE = InnoDB,
PARTITION date_sep_11 VALUES LESS THAN ('2011-10-01') ENGINE = InnoDB,
PARTITION date_oct_11 VALUES LESS THAN ('2011-11-01') ENGINE = InnoDB,
PARTITION date_nov_11 VALUES LESS THAN ('2011-12-01') ENGINE = InnoDB,
PARTITION date_dec_11 VALUES LESS THAN ('2012-01-01') ENGINE = InnoDB,
PARTITION date_jan_12 VALUES LESS THAN ('2012-02-01') ENGINE = InnoDB,
PARTITION date_feb_12 VALUES LESS THAN ('2012-03-01') ENGINE = InnoDB,
PARTITION date_mar_12 VALUES LESS THAN ('2012-04-01') ENGINE = InnoDB,
PARTITION date_apr_12 VALUES LESS THAN ('2012-05-01') ENGINE = InnoDB,
PARTITION date_may_12 VALUES LESS THAN ('2012-06-01') ENGINE = InnoDB,
PARTITION date_jun_12 VALUES LESS THAN ('2012-07-01') ENGINE = InnoDB,
PARTITION date_jul_12 VALUES LESS THAN ('2012-08-01') ENGINE = InnoDB,
PARTITION date_aug_12 VALUES LESS THAN ('2012-09-01') ENGINE = InnoDB,
PARTITION date_sep_12 VALUES LESS THAN ('2012-10-01') ENGINE = InnoDB,
PARTITION date_oct_12 VALUES LESS THAN ('2012-11-01') ENGINE = InnoDB,
PARTITION date_nov_12 VALUES LESS THAN ('2012-12-01') ENGINE = InnoDB,
PARTITION date_dec_12 VALUES LESS THAN ('2013-01-01') ENGINE = InnoDB,
PARTITION date_jan_13 VALUES LESS THAN ('2013-02-01') ENGINE = InnoDB,
PARTITION date_feb_13 VALUES LESS THAN ('2013-03-01') ENGINE = InnoDB,
PARTITION date_mar_13 VALUES LESS THAN ('2013-04-01') ENGINE = InnoDB,
PARTITION date_apr_13 VALUES LESS THAN ('2013-05-01') ENGINE = InnoDB,
PARTITION date_may_13 VALUES LESS THAN ('2013-06-01') ENGINE = InnoDB,
PARTITION date_jun_13 VALUES LESS THAN ('2013-07-01') ENGINE = InnoDB,
PARTITION date_oth VALUES LESS THAN (MAXVALUE) ENGINE = InnoDB);
Below is a sample query which was used for doing the load testing to test the performance.
SELECT column8, column9
FROM myTable
WHERE column2 = ? AND column3 = ? AND column4 =? AND column5 = ? AND column7 = ? AND column6 = ?
LIMIT 1
The ? above were replaced with real values present in the database for testing.
Please note that the number of records in ‘myTable’ table is around 342 million, and the number of test data used for doing the performance testing is about 2 million.
However, as I said, the performance after implementing partitioning was reduced by a shocking 3 times. Any idea what may have caused this?
Also, please let me know if doing any further change in the table structure or indexing may help resolve this issue.
Remember, the goal of partitioning is to speed up queries where your query limits the number of partitions the result could be found in. I think the issues is the column6 = ? in your test query. I'm guessing that requiring an exact value, rather than a range, for column6 reduces your result set to very few values. Therefore, in the process of narrowing down the partitions, you've already essentially found the result. And since the indexes are split across the multiple partitions, there is a cost to that narrowing process.
The kind of query you would expect to benefit from partitioning on column6 is one that returns a range of values, limited to a small number of partitions. For example, try something like this as a test query:
SELECT column8, column9
FROM myTable
WHERE column6 < ? AND column6 > ? AND column2 = ? AND column3 = ? AND column4 =? AND column5 = ?
where that column6 range spans around 2 partitions, and the total result count is expected to be reasonably large.
This might help: http://dev.mysql.com/tech-resources/articles/partitioning.html
Looking at this, there's several things I would consider.
The first, and most glaring issue is that the big benefit from partitioning comes when you spread your data across different devices (disks) - and there's no evidence of that from the code posted.
Next, your partitioning is hard coded to specific date ranges - hence you're going to have to come up with a better plan when date_oth starts to fill up.
AND column6 = ?
So you only tested the performance of data from single partition? At best this will be no faster than with all the data in one table.
As Nathan points out, you are partitioning by column 6 - but you don't have this at the front of any of your indexes, hence the DBMS must search the index in each partition to find the data - this is ilkely the reason why the performance is so poor. (I disagree that partitioning only helps range queries).
I have created a table using mysql partition using range and have inserted millions of data.
CREATE TABLE `PART_SAMPLE ` (
`TRANSACTION_ID` bigint(25) NOT NULL AUTO_INCREMENT,
`TASK_ID` int(11) DEFAULT NULL,
`STATUS_CODE` int(10) DEFAULT NULL,
`FIELD10` int(5) DEFAULT NULL,
KEY `TXN_ID` (`TRANSACTION_ID`),
KEY `TASK_IDX` (`TASK_ID`),
KEY `id_idx_task_status` (`TASK_ID`,`STATUS_CODE`),
KEY `IDX_STATUS` (`STATUS_CODE`),
KEY `Fld_idx` (`FIELD10`)
) ENGINE=MyISAM AUTO_INCREMENT=12249932 DEFAULT CHARSET=latin1
/*!50100 PARTITION BY RANGE (FIELD10)
(PARTITION p0 VALUES LESS THAN (0) ENGINE = MyISAM,
PARTITION p1 VALUES LESS THAN (1) ENGINE = MyISAM,
PARTITION p2 VALUES LESS THAN (2) ENGINE = MyISAM,
........
PARTITION p9 VALUES LESS THAN (9) ENGINE = MyISAM,
PARTITION p10 VALUES LESS THAN MAXVALUE ENGINE = MyISAM) */
Each Field10(0-10) value is having 3 million data each.
But when am executing a select query as this
select TASK_ID,STATUS_CODE,count(*) from PART_SAMPLE where FIELD10=X group by TASK_ID,STATUS_CODE;
x can be any value in the partition
for x value 0,2,5,8 it is taking only 10 seconds to retrive result but for rest it is taking abount 50s to rerive the result. As per my understating since data is same for all Fields almost same time has to be taken for any Field10 value. Why this time difference is coming
I update MySQL versition from 5.0 to 5.5. and I am new for studying mysql partition. firstly, I type:
SHOW VARIABLES LIKE '%partition%'
Variable_name Value
have_partitioning YES
Make sure that the new version support partition. I tried to partition my table by every 10 minutes, then INSERT, UPDATE, QUERY huge data into this table for a test.
First, I need create a new table, I type my code:
CREATE TABLE test (
`id` int unsigned NOT NULL auto_increment,
`words` varchar(100) collate utf8_unicode_ci NOT NULL,
`date` varchar(10) collate utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`),
FULLTEXT KEY `index` (`words`)
)
ENGINE=MyISAM
DEFAULT CHARSET=utf8
COLLATE=utf8_unicode_ci
AUTO_INCREMENT=0
PARTITION BY RANGE (MINUTE(`date`))
(
PARTITION p0 VALUES LESS THAN (1322644000),
PARTITION p1 VALUES LESS THAN (1322644600) ,
PARTITION p2 VALUES LESS THAN (1322641200) ,
PARTITION p3 VALUES LESS THAN (1322641800) ,
PARTITION p4 VALUES LESS THAN MAXVALUE
);
It return alert: #1564 - This partition function is not allowed, so what is this problem? thanks.
UPDATE
Modify date into int NOT NULL, and PARTITION BY RANGE MINUTE(date) into PARTITION BY RANGE COLUMNS(date)
CREATE TABLE test (
`id` int unsigned NOT NULL auto_increment,
`words` varchar(100) collate utf8_unicode_ci NOT NULL,
`date` int NOT NULL,
PRIMARY KEY (`id`),
FULLTEXT KEY `index` (`words`)
)
ENGINE=MyISAM
DEFAULT CHARSET=utf8
COLLATE=utf8_unicode_ci
AUTO_INCREMENT=0
PARTITION BY RANGE COLUMNS(`date`)
(
PARTITION p0 VALUES LESS THAN (1322644000),
PARTITION p1 VALUES LESS THAN (1322644600) ,
PARTITION p2 VALUES LESS THAN (1322641200) ,
PARTITION p3 VALUES LESS THAN (1322641800) ,
PARTITION p4 VALUES LESS THAN MAXVALUE
);
Then caused new error: #1214 - The used table type doesn't support FULLTEXT indexes
I am so sorry, mysql not support fulltext and partition at the same time.
See partitioning limitations
FULLTEXT indexes. Partitioned tables do not support FULLTEXT indexes or searches. This includes partitioned tables employing the MyISAM storage engine.
One issue might be
select MINUTE('2008-10-10 56:56:98') returns null, the reason is Minute function returns minute from time or datetime value, where as in your case date is varchar
MINUTE function returns in either date/datetime expression. Again, A partitioning key must be either an integer column or an expression that resolves to an
integer but inyour case it's VARCHAR