On Sat, Jul 6, 2024 at 4:10 PM sud <suds1434@xxxxxxxxx> wrote:
On Fri, Jul 5, 2024 at 8:24 PM Adrian Klaver <adrian.klaver@xxxxxxxxxxx> wrote:On 7/5/24 02:08, sud wrote:
> Hello all,
>
> Its postgres database. We have option of getting files in csv and/or in
> avro format messages from another system to load it into our postgres
> database. The volume will be 300million messages per day across many
> files in batches.
Are dumping the entire contents of each file or are you pulling a
portion of the data out?
Yes, all the fields in the file have to be loaded to the columns in the tables in postgres.
But you didn't say which columns or which tables.
If one row of CSV input must be split into multiple tables, then it might be pretty slow.
But how will that matter here for deciding if we should ask the data in .csv or .avro format from the outside system to load into the postgres database in row and column format? Again my understanding was that irrespective of anything , the .csv file load will always faster as because the data is already stored in row and column format as compared to the .avro file in which the parser has to perform additional job to make it row and column format or map it to the columns of the database table. Is my understanding correct here?
Yes and no. It all depends on how well each input row maps to a Postgresql table.
Bottom line: you want an absolute answer, but we can't give you an absolute answer, since we don't know what the input data looks like, and we don't know what the Postgresql tables look like.
An AVRO file might be faster to input than CSV, or it might be horribly slower.
And you might incompetently program a CSV importer so that it's horribly slow.
We can't give absolute answers without knowing more details than the ambiguous generalities in your emails.
