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This repository has been archived by the owner on Aug 23, 2021. It is now read-only.
Using the SEATS benchmark against Postgres I found some OOM problems with some specific transaction types. In particular with two workloads: the first using 100% "New reservation" transactions, the second using 100% "Delete reservation" transactions.
The machine where the generator is running has 16 GB of rams and 4 CPUs.
When the test starts, OLTP starts to fill the memory until it is totally saturated and it crashes with an OOM error. Furthermore, during the test there is no activity on the Postgres machine.
It shouldn't be a connection issue since I change the transaction mix with the same configuration file and it works. Thus, I think it is something related to the two types of transactions listed above.
The text was updated successfully, but these errors were encountered:
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Using the SEATS benchmark against Postgres I found some OOM problems with some specific transaction types. In particular with two workloads: the first using 100% "New reservation" transactions, the second using 100% "Delete reservation" transactions.
The workload configuration is the following:
The machine where the generator is running has 16 GB of rams and 4 CPUs.
When the test starts, OLTP starts to fill the memory until it is totally saturated and it crashes with an OOM error. Furthermore, during the test there is no activity on the Postgres machine.
It shouldn't be a connection issue since I change the transaction mix with the same configuration file and it works. Thus, I think it is something related to the two types of transactions listed above.
The text was updated successfully, but these errors were encountered: