Hi, Thank you for your reply. The system has 16 physical cores (2 sockets, 8 cores/sockets, 20MB L3 cache, 256KB L2) and 64GB of RAM. The MonetDB server uses 16 threads to serve my test database and it finds ~63GB of available memory. I used synthetic data to populate the two tables (with names A and B). The particular query I reported about in my previous e-mail generates a lot of output: approx. 500 million tuples. The join predicate is (A.a1 < B.b1) where columns A.a1 and B.b1 contain all unique integers from 1 to 32768. With a lower selectivity (say, 1%, by controlling the values inserted into A.a1 and B.b1), the query executes faster but its behaviour is the same: only 1 thread is utilised. Attached is a trace of the query. Hope this helps, Alexandros PS: Apologies for the separate thread; somehow I ended up subscribing in digest mode
Hi
This is insufficient information to shed light on it. Crucial information is system characteristics. And also a TRACE of your query can shed light on the issue.
Furthermore, is it a cold or hot execution of the query?
regards, Martin
Hi,
I am joining two tables, each with 32K tuples. The query runs for ~23-24 seconds on my (multi-core) machine.
During execution, however, only 1 core is utilised, while the rest of the CPU cores are idle. The cores are under-utilised although I have configured the MonetDB server to use all the physical cores of my machine (either by setting 'nthreads' or, in the case of mserver5, 'gdk_nr_threads').
I am running MonetDB server v11.21.13 "Jul2015-SP2", compiled from
On 20/01/16 13:24, Alexandros Koliousis wrote: source.
Is this due to some configuration setting I missed? Or, due to the
fact that I am running a single-operator query?
Alternatively, I was thinking of creating merge tables, thus
partitioning my tables manually, hoping that this will allow for intra-operator parallelism.
Thanks,
Alexandros
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