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Hi,
as you can see in the screenshots, I created a query, store the result in the hashmap, read it out from there, iterate it parallelized and write a json with it.
But somehow at tWriteJSONField data gets lost. As at tLogRow_3 still all 100 rows arrive, tLogRow2 just gets ~40 (+-5 - it changes randomly each execution).
This happens only if I iterate parallized and the number of iterations are not the same like the number of rows (so 1 (so actually no parallel execution) and 100 parallel executions for 100 rows work in this example any other number parallel executions loses data).
Do you have any suggestions on this, because it looks like a bug to me (something with the java garbage collector or so)?
Regards
as you can see in the screenshots, I created a query, store the result in the hashmap, read it out from there, iterate it parallelized and write a json with it.
But somehow at tWriteJSONField data gets lost. As at tLogRow_3 still all 100 rows arrive, tLogRow2 just gets ~40 (+-5 - it changes randomly each execution).
This happens only if I iterate parallized and the number of iterations are not the same like the number of rows (so 1 (so actually no parallel execution) and 100 parallel executions for 100 rows work in this example any other number parallel executions loses data).
Do you have any suggestions on this, because it looks like a bug to me (something with the java garbage collector or so)?
Regards
No there is no grouping - and if so, it wouldn't explain that it just happens at parallelizations.
