In fact, disabling toast compression will probably improve the performance
(the indirection will still take place). A float array is not usually very
compressible anyway.
On May 3, 2016 10:37 AM, "John R Pierce" wrote:
> On 5/3/2016 1:21 AM, Marcus Engene wrote:
>
> For each array I've added, and
On 5/3/2016 1:21 AM, Marcus Engene wrote:
For each array I've added, and populated, any dealings with the table
has become way way slower. I can only assume this is because the array
data is inline in the datablock on disk that stores the row.
any field on a table thats more than a few dozen
Hi,
I have some whopper tables for machine learning. One table has a handful
of 200-500 double precision arrays (representing feature vectors). It's
a 9.5 on a SSD (over USB3). Each table has 5-15M rows in them.
For each array I've added, and populated, any dealings with the table
has become
