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While processing the bucket data in CBucketGatherer::addEventData, we transiently fill up the queue of m_InfluencerCounts. https://github.com/elastic/ml-cpp/blob/b2e749beffff29223c3cd7dd265b3b5f7ff37bd0/lib/model/CBucketGatherer.cc#LL300C29-L300C29 When the job is hard_limit state, this can lead to temporarily using more memory than is allowed. In order to improve the stability and adherence to the memory limit, we can avoid populating this queue in the hard_limit state.
CBucketGatherer::addEventData
m_InfluencerCounts
hard_limit
The text was updated successfully, but these errors were encountered:
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While processing the bucket data in
CBucketGatherer::addEventData
, we transiently fill up the queue ofm_InfluencerCounts
. https://github.com/elastic/ml-cpp/blob/b2e749beffff29223c3cd7dd265b3b5f7ff37bd0/lib/model/CBucketGatherer.cc#LL300C29-L300C29 When the job is hard_limit state, this can lead to temporarily using more memory than is allowed. In order to improve the stability and adherence to the memory limit, we can avoid populating this queue in thehard_limit
state.The text was updated successfully, but these errors were encountered: