Across all the tables, we have about 200 columns. This development machine is running on a machine with a raid of SSDs.
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From: users-list
On 19 Aug 2019, at 13:04, Gotwisner, Dave
wrote: I am seeing a performance issue related to schema upgrades. This is from a C++ program that uses the MAPI library.
We try and keep 30 days worth of data, imported at a fairly high data rate with lots of columns. We use multiple threads to ingest data (bulk insert), and the number of threads is stored in a configuration table.
For 20 days worth of data, this works out to around 9000 tables (plus merge tables). We have roughly 6 sets of tables per hour, each of which has 4 tables and a merge table connecting them.
Because this is a schema change, we wrap the entire upgrade in a transaction.
For the purpose of the test, we had no data in the tables, but only had empty tables.
If we change our setting from 4 parallel tables to 2, we end up dropping 9000 tables. About half of the “drop table” commands take 0 seconds. The rest take anywhere between 4 and 12 seconds each.
Here is a plot of the time per delete, y access is seconds, x is the statement. The X access is NOT time based:
Any idea on how we can reduce the time? The total time to delete 9000 tables was 480 minutes.
Thanks,
Dave _______________________________________________ users-list mailing list users-list@monetdb.org https://urldefense.proofpoint.com/v2/url?u=https-3A__www.monetdb.org_mailman_listinfo_users-2Dlist&d=DwIGaQ&c=Hlvprqonr5LuCN9TN65xNw&r=u41iOHYIJhkr4P2f2CDLh8D6LDUMXy2xJPhXyGKDzns&m=e7G5gan3lzaPk0qdWfiNJdCuX8Gz3-MHk_oV8a598vk&s=70MX_Qu6Ek5cVX9MGdU5WmJqsFGBxxlGtvESrARHyho&e=
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