Hi Avner,
Query queueing is not available in embedded mode: it uses ZK to throttle
the number of concurrent queries across a cluster; but embedded does not
have a cluster or use ZK. (If you are running more than a few concurrent
queries, embedded mode is likely the wrong deployment model anyway.)
What do you consider tiny for a parquet file? Few KB or MB?
16 GB may seem like a lot but it is quite small for a query engine. If
possible, increase the container to 32 GB and try giving it as much
Heap as possible, since that's what it will use for the REST API. Try
> 16 GB Heap and see if you s
Hi,
I'm using Drill 1.18 (master) docker and trying to configure its memory
after getting out of heap memory errors:
"RESOURCE ERROR: There is not enough heap memory to run this query using
the web interface."
The docker is serving remote clients through the REST API.
The queries are simple selects
