Re: Loading 500m json files to database

Try to write a stored procedure (probably pl/python) that will accept an array of JSON objects so it will be possible
toload data in chunks (by 100-1000 files) which should be faster. 

> On 23. Mar 2020, at 12:49, Ertan Küçükoğlu <ertan.kucukoglu@1nar.com.tr> wrote:
>
>
>> On 23 Mar 2020, at 13:20, pinker <pinker@onet.eu> wrote:
>>
>> Hi, do you have maybe idea how to make loading process faster?
>>
>> I have 500 millions of json files (1 json per file) that I need to load to
>> db.
>> My test set is "only" 1 million files.
>>
>> What I came up with now is:
>>
>> time for i in datafiles/*; do
>> psql -c "\copy json_parts(json_data) FROM $i"&
>> done
>>
>> which is the fastest so far. But it's not what i expect. Loading 1m of data
>> takes me ~3h so loading 500 times more is just unacceptable.
>>
>> some facts:
>> * the target db is on cloud so there is no option to do tricks like turning
>> fsync off
>> * version postgres 11
>> * i can spin up huge postgres instance if necessary in terms of cpu/ram
>> * i tried already hash partitioning (to write to 10 different tables instead
>> of 1)
>>
>>
>> Any ideas?
> Hello,
>
> I may not be knowledge enough to answer your question.
>
> However, if possible, you may think of using a local physical computer to do all uploading and after do
backup/restoreon cloud system. 
>
> Compressed backup will be far less internet traffic compared to direct data inserts.
>
> Moreover you can do additional tricks as you mentioned.
>
> Thanks & regards,
> Ertan
>
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