> On Tue, Feb 6, 2024 at 8:34 AM Greg Sabino Mullane <htamf...@gmail.com> > wrote: > >> On Sun, Feb 4, 2024 at 3:52 PM Lok P <loknath...@gmail.com> wrote: >> >>> What I mean was, we will definitely need the data for querying purposes >>> by the users, but just to keep the storage space incontrol (and to help the >>> read queries), we were thinking of having the historical partitions >>> compressed. And for that , if any compression strategy should we follow on >>> postgres? >>> >> >> There is no compression strategy, per se. There are ways Postgres >> internally compresses the data (see "TOAST"), but in general, the table is >> either there or not. If space is a concern you should examine if you truly >> need 127 columns, make sure they are arranged correctly (search for >> 'postgres column tetris'), and move unused and older partitions elsewhere - >> like a separate cheaper Postgres server, or something offline. >> >> Cheers, >> Greg >> >> Rearranging the table columns by typlen desc, didn't give much storage space reduction.
So, I was trying TOAST compression by creating the table from scratch and using the LZ4 algorithm defined on the column definition level just for varchar type columns , as it seems this compression only works for varchar and text columns. And the table had 7 columns defined as varchar out of total 12 columns. I write the DDL something as below Column1 varchar(50) compression(lz4) not null However , when i loaded the table using INSERT AS SELECT from the main table(which is uncompressed one) , i see the size of the compressed table remains same and also i applied the function "pg_column_compression()" to see if any column value is compressed using lz4, it returns all "null", which means not compressed. So it seems the compression does not apply for the rows inserted using "CTAS" or "INSERT AS SELECT". Does that mean it is only applicable for the row by row inserts but not batch inserts(which a bigger system normally will have)? I was not expecting this though, so it was disappointing. Regards Lok
