Thread: Need help in reclaiming disk space by deleting the selected records
Need help in reclaiming disk space by deleting the selected records
From
"Yelai, Ramkumar IN BLR STS"
Date:
Hi All,
I am a beginner in Postgresql and Databases. I have a requirement that reclaiming disk space by deleting the rows in a selected time span. I went through the documents and articles to know how to get the table size (http://wiki.postgresql.org/wiki/Disk_Usage)
But before let the user delete, I have to show the size of the records size in the selected time span. But here I don’t know how to calculate the selected records size.
In addition to this, I assume that after deleted the records I have to run VACUUM FULL command to reclaiming the space( Please correct me if I am wrong or let me know the best approach) .
The table looks like this
CREATE TABLE IF NOT EXISTS "SN_SamplTable"
(
"ID" integer NOT NULL,
“Data” integer,
"CLIENT_COUNT_TIMESTAMP" timestamp without time zone
);
Please help me to how to proceed on this.
Thanks & Regards,
Ramkumar.
On 09/13/2012 06:33 AM, Yelai, Ramkumar IN BLR STS wrote: > Hi All, > I am a beginner in Postgresql and Databases. I have a requirement that > reclaiming disk space by deleting the rows in a selected time span. I > went through the documents and articles to know how to get the table > size (_http://wiki.postgresql.org/wiki/Disk_Usage_) > But before let the user delete, I have to show the size of the records > size in the selected time span. But here I don’t know how to calculate > the selected records size. > In addition to this, I assume that after deleted the records I have to > run VACUUM FULL command to reclaiming the space( Please correct me if > I am wrong or let me know the best approach) . > The table looks like this > CREATE TABLE IF NOT EXISTS "SN_SamplTable" > ( > "ID" integer NOT NULL, > “Data” integer, > "CLIENT_COUNT_TIMESTAMP" timestamp without time zone > ); > Please help me to how to proceed on this. > Some things to consider: 1. If you have indexes on the table you need to consider the additional disk space recovered there. 2. CLUSTER is typically *way* faster than VACUUM FULL and rebuilds the indexes as well but it temporarily requires sufficient disk-space to write out a copy of the table being clustered. 3. If you can pre-plan for removing old data, for example you are collecting log data and need a rolling 3-months, then table partitioning is the way to go. You do this using an empty "parent" tables and putting the data into child tables each of which covers a specific time-span, perhaps one child-table per month or per week. When the data is no longer required you simply dump the child table if desired and then drop the child table. This is a virtually instant process that does not cause table bloat. Partitioning by date is only one way. You could determine that you need to drop data by user-ID and partition that way. Or by a combination of ID and date-range. But this method does not work if you need to remove arbitrary date ranges. Cheers, Steve
Hi, On Friday, September 14, 2012 01:29:59 AM Steve Crawford wrote: > 2. CLUSTER is typically way faster than VACUUM FULL and rebuilds the > indexes as well but it temporarily requires sufficient disk-space to > write out a copy of the table being clustered. Thats not the case anymore since 9.0 btw. These days VACUUM FULL does the same thing CLUSTER does just without sorting. Greetings, Andres -- Andres Freund http://www.2ndQuadrant.com/ PostgreSQL Development, 24x7 Support, Training & Services
On 09/14/2012 05:35 AM, Andres Freund wrote: > Hi, > > On Friday, September 14, 2012 01:29:59 AM Steve Crawford wrote: >> 2. CLUSTER is typically way faster than VACUUM FULL and rebuilds the >> indexes as well but it temporarily requires sufficient disk-space to >> write out a copy of the table being clustered. > Thats not the case anymore since 9.0 btw. These days VACUUM FULL does the same > thing CLUSTER does just without sorting. > > That's true - I should have pointed that out. But it also means that you can get into a corner if you need to vacuum full large tables when you have limited free disk space - something the OP should consider since reclaiming disk space was one of his motivations. Cheers, Steve