database-partitioning

Given this : delimiter // create procedure setup() begin declare d datetime; set d = rounddate(now()); create table s_time (req_id int not null, ser_id int not null, hel_id int not null, posted int unsigned not null, completed int unsigned not null default 0 ) partition by range (completed) (partition p0 values less than ( unix_timestamp(d) ), partition p1 values less than ( unix_timestamp(d + interval 1 day) ) ); end// I get : ERROR 1064 (42000) : Constant, random, or timezone-dependent expression in (sub)partitioning function are not allowed Is there any way to get this to work, or do I have

I want to partition my data by "MONTH" I am trying this, ALTER TABLE t1 PARTITION BY RANGE(TO_DAYS(FROM_UNIXTIME(transaction_date)))( PARTITION JAN VALUES LESS THAN (TO_DAYS('2013-02-01')), PARTITION FEB VALUES LESS THAN (TO_DAYS('2013-03-01')), PARTITION MAR VALUES LESS THAN (TO_DAYS('2013-04-01')), PARTITION APR VALUES LESS THAN (TO_DAYS('2013-05-01')), PARTITION MAY VALUES LESS THAN (TO_DAYS('2013-06-01')), PARTITION JUN VALUES LESS THAN (TO_DAYS('2013-07-01')), PARTITION JUL VALUES LESS THAN (TO_DAYS('2013-08-01')), PARTITION AUG VALUES LESS THAN (TO_DAYS('2013-09-01')), PARTITION SEP

I'm in the process of building a database storage for my app consisting on a single table with a huge data volume (hundreds of millions of records). I'm planning on having an index on the date field, since I'll be doing a batch recovery of all the records in a given period of time every now and then (for example, retrieving all records for the following day, at midnight). Since the number of records is huge and performance is an important concern in this system, I would like to know if there is a way I can dynamically partition my table so that I can retrieve the records faster, creating and

Is there a more efficient way than: select * from transactions partition( partition1 ) union all select * from transactions partition( partition2 ) union all select * from transactions partition( partition3 ); It should be exceptionally rare that you use the PARTITION( partitionN ) syntax in a query. You would normally just want to specify values for the partition key and allow Oracle to perform partition elimination. If your table is partitioned daily based on TRANSACTION_DATE, for example SELECT * FROM transactions WHERE transaction_date IN (date '2010-11-22', date '2010-11-23', date '2010

I have a table with partition based on date field. Now, I have to write a procedure to drop all partitions older than 2 months i.e. test_date is older than 2 months. How do I do it? create table test_table ( test_id number, test_date date, constraint pk_test primary key (test_id) ) partition by range (test_date) ( PARTITION pt01122012 VALUES LESS THAN (TO_DATE('01-DEC- 2012', 'DD-MON-YYYY')), PARTITION pt01022013 VALUES LESS THAN (TO_DATE('01-FEB- 2013', 'DD-MON-YYYY')), PARTITION pt01042013 VALUES LESS THAN (TO_DATE('01-APR- 2013', 'DD-MON-YYYY')), PARTITION pt01062013 VALUES LESS THAN (TO

Is it possible to partition based on char column? After reviewing the MySQL 5.1 documentation it appears that only integer types can be used. Is this correct? Or can I use some function to convert the char into an integer? The char field in question contains a unique identifier. Partitioning in MySQL 5.1 can only deal with integer columns ( Source ). You can only use a few partitioning functions on non-integer columns. For example: CREATE TABLE ti (id INT, amount DECIMAL(7,2), tr_date DATE) ENGINE=INNODB PARTITION BY HASH( MONTH(tr_date) ) PARTITIONS 6; You can also use key partitioning in

I am trying to produce a results table with the last completed course date for each course code, as well as the last completed course code overall for each employee. Below is my query: SELECT employee_number, MAX(course_completion_date) OVER (PARTITION BY course_code) AS max_course_date, MAX(course_completion_date) AS max_date FROM employee_course_completion WHERE course_code IN ('M910303', 'M91301R', 'M91301P') GROUP BY employee_number This query produces the following error: 3504 : Selected non-aggregate values must be part of the associated group If I remove the MAX() OVER (PARTITION BY...)