On Thu, Nov 15, 2012 at 1:34 PM, Chitra Creta wrote:
> Thanks for your example Chris. I will look into it as a long-term solution.
>
> Partitioning tables as a strategy worked very well indeed. This will be my
> short/medium term solution.
>
> Another strategy that I would like to evaluate as a s
Thanks for your example Chris. I will look into it as a long-term solution.
Partitioning tables as a strategy worked very well indeed. This will be my
short/medium term solution.
Another strategy that I would like to evaluate as a short/medium term
solution is archiving old records in a table bef
On Sun, Oct 21, 2012 at 5:46 AM, Chitra Creta wrote:
> Thank you all.
>
> Ryan, would you mind sharing your one-time function to move it?
>
> Merlin, what are your suggestions to improve query performance?
>
> Shaun, thank you. I will look into facts and dimensions should all else
> fail.
>
> Chr
Thank you all.
Ryan, would you mind sharing your one-time function to move it?
Merlin, what are your suggestions to improve query performance?
Shaun, thank you. I will look into facts and dimensions should all else
fail.
Chris, would you mind giving me an example of what you mean by your log,
a
On Fri, Oct 12, 2012 at 7:44 AM, Chitra Creta wrote:
> Hi,
>
> I currently have a table that is growing very quickly - i.e 7 million
> records in 5 days. This table acts as a placeholder for statistics, and
> hence the records are merely inserted and never updated or deleted.
>
> Many queries are
On 10/12/2012 09:44 AM, Chitra Creta wrote:
4. Creation of daily, monthly, yearly summary tables that contains
aggregated data specific to the statistics required
If the partitioning doesn't help you, I strongly urge you to build one
or more Fact tables with appropriate Diminsions. If you don
On Fri, Oct 12, 2012 at 10:00 AM, Lonni J Friedman wrote:
> On Fri, Oct 12, 2012 at 7:44 AM, Chitra Creta wrote:
>> Hi,
>>
>> I currently have a table that is growing very quickly - i.e 7 million
>> records in 5 days. This table acts as a placeholder for statistics, and
>> hence the records are m
On Tue, Oct 16, 2012 at 09:26:09PM +1100, Chitra Creta wrote:
> Thank you all for your suggestions. Since all of you recommended the
> Partition option, I decided to try it out myself.
>
> I found a function that created partition tables for every month in the
> last two years. A trigger was also
Thank you all for your suggestions. Since all of you recommended the
Partition option, I decided to try it out myself.
I found a function that created partition tables for every month in the
last two years. A trigger was also added to the parent table to ensure that
every insert into it from hence
On 10/12/12 7:44 AM, Chitra Creta wrote:
1. Purge old data
2. Reindex
3. Partition
4. Creation of daily, monthly, yearly summary tables that contains
aggregated data specific to the statistics required
if most of your queries read the majority of the tables, indexing will
be of little hel
On Sat, Oct 13, 2012 at 01:44:02AM +1100, Chitra Creta wrote:
> Hi,
>
> I currently have a table that is growing very quickly - i.e 7 million
> records in 5 days. This table acts as a placeholder for statistics, and
> hence the records are merely inserted and never updated or deleted.
>
> Many qu
Hi,
On 13 October 2012 01:44, Chitra Creta wrote:
> I currently have a table that is growing very quickly - i.e 7 million
> records in 5 days. This table acts as a placeholder for statistics, and
> hence the records are merely inserted and never updated or deleted.
>
> Many queries are run on thi
On Fri, Oct 12, 2012 at 7:44 AM, Chitra Creta wrote:
> Hi,
>
> I currently have a table that is growing very quickly - i.e 7 million
> records in 5 days. This table acts as a placeholder for statistics, and
> hence the records are merely inserted and never updated or deleted.
>
> Many queries are
Hi,
I currently have a table that is growing very quickly - i.e 7 million
records in 5 days. This table acts as a placeholder for statistics, and
hence the records are merely inserted and never updated or deleted.
Many queries are run on this table to obtain trend analysis. However, these
queries
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