Hi everyone! A few questions :)
Is it possible to...
# ask-community-for-troubleshootinga
Amit Gelber
10/25/2021, 10:02 AMHi everyone! A few questions :)
Is it possible to manage a 3TB full sync with Airbyte? MSSQL ->BigQuery? will it handle the load?
How can I determine how many workers do I need for my setup?
How does it split the load? by table? or each worker grab apart from a table? what is the retry policy?
Can we retry failed parts of a table?
Was the k8s tested in production?
👀 4
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Chris (deprecated profile)
10/25/2021, 11:54 AM
i am guessing it should be able to yes
Chris (deprecated profile)
10/25/2021, 11:56 AM
we’ll be making more concrete tests to have definite answers during this quarter. you can follow this issue https://github.com/airbytehq/airbyte/issues/7035
Chris (deprecated profile)
10/25/2021, 11:57 AM
you can read more about workers here https://docs.airbyte.io/understanding-airbyte/jobs
Chris (deprecated profile)
10/25/2021, 12:02 PM
How does it split the load? by table? or each worker grab apart from a table?But in general, workers are taking care of all streams from the same source as part of a sync Unfortunately the load from a big 3TB source is not automatically split between multiple workers at the moment
Chris (deprecated profile)
10/25/2021, 12:06 PM
what is the retry policy?
Can we retry failed parts of a table?There will be work around better handling partial checkpointing in the short/medium term too.
Chris (deprecated profile)
10/25/2021, 12:08 PM
Was the k8s tested in production?yes. airbyte cloud is also managed on k8s
a
Amit Gelber
10/25/2021, 2:21 PMThe 3TB source contains a lot of tables its not a one 3TB file
d
Davin Chia (Airbyte)
10/26/2021, 9:51 AM
One way is to split the various tables into different connections. Each connection is mapped to a worker, so this is the same as ‘manually’ sharding the work
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