Comments (1)
- the oom problem is triggered by badger. When closing a badger instance, a flush is conducted, badger creates a very big buffer(96MB) for each instance(which is hard coded), when closing 100 instances, 9GB memory usage triggered the oom.
// NewTableBuilder makes a new TableBuilder.
func NewTableBuilder() *Builder {
return &Builder{
keyBuf: newBuffer(32 << 20),
buf: newBuffer(64 << 20),
prevOffset: math.MaxUint32, // Used for the first element!
}
}
I already made a pull request :dgraph-io/badger#281, which will save much memory because we can use much smaller table size.
- message will output to log file soon.
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